Jovan Tanevski
| Snapshot Date: 2022-03-16 13:55:23 -0400 (Wed, 16 Mar 2022) |
| git_url: https://git.bioconductor.org/packages/mistyR |
| git_branch: master |
| git_last_commit: 7be7b44 |
| git_last_commit_date: 2022-03-08 10:28:04 -0400 (Tue, 08 Mar 2022) |
| Back to Multiple platform build/check report for BioC 3.15 |
|
This page was generated on 2022-03-17 11:08:15 -0400 (Thu, 17 Mar 2022).
| Hostname | OS | Arch (*) | R version | Installed pkgs |
|---|---|---|---|---|
| nebbiolo1 | Linux (Ubuntu 20.04.4 LTS) | x86_64 | R Under development (unstable) (2022-02-17 r81757) -- "Unsuffered Consequences" | 4334 |
| riesling1 | Windows Server 2019 Standard | x64 | R Under development (unstable) (2021-11-21 r81221) -- "Unsuffered Consequences" | 4060 |
| palomino3 | Windows Server 2022 Datacenter | x64 | R Under development (unstable) (2022-02-17 r81757 ucrt) -- "Unsuffered Consequences" | 4083 |
| merida1 | macOS 10.14.6 Mojave | x86_64 | R Under development (unstable) (2022-03-02 r81842) -- "Unsuffered Consequences" | 4134 |
| Click on any hostname to see more info about the system (e.g. compilers) (*) as reported by 'uname -p', except on Windows and Mac OS X | ||||
|
To the developers/maintainers of the mistyR package: - Please allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/mistyR.git to reflect on this report. See How and When does the builder pull? When will my changes propagate? here for more information. - Make sure to use the following settings in order to reproduce any error or warning you see on this page. |
| Package 1180/2090 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
| mistyR 1.3.8 (landing page) Jovan Tanevski
| nebbiolo1 | Linux (Ubuntu 20.04.4 LTS) / x86_64 | OK | OK | OK | | ||||||||
| riesling1 | Windows Server 2019 Standard / x64 | OK | OK | OK | OK | |||||||||
| palomino3 | Windows Server 2022 Datacenter / x64 | OK | OK | OK | OK | | ||||||||
| merida1 | macOS 10.14.6 Mojave / x86_64 | OK | OK | OK | OK | | ||||||||
| Package: mistyR |
| Version: 1.3.8 |
| Command: D:\biocbuild\bbs-3.15-bioc\R\bin\R.exe CMD check --no-multiarch --install=check:mistyR.install-out.txt --library=D:\biocbuild\bbs-3.15-bioc\R\library --no-vignettes --timings mistyR_1.3.8.tar.gz |
| StartedAt: 2022-03-16 19:35:32 -0400 (Wed, 16 Mar 2022) |
| EndedAt: 2022-03-16 19:42:38 -0400 (Wed, 16 Mar 2022) |
| EllapsedTime: 426.0 seconds |
| RetCode: 0 |
| Status: OK |
| CheckDir: mistyR.Rcheck |
| Warnings: 0 |
##############################################################################
##############################################################################
###
### Running command:
###
### D:\biocbuild\bbs-3.15-bioc\R\bin\R.exe CMD check --no-multiarch --install=check:mistyR.install-out.txt --library=D:\biocbuild\bbs-3.15-bioc\R\library --no-vignettes --timings mistyR_1.3.8.tar.gz
###
##############################################################################
##############################################################################
* using log directory 'D:/biocbuild/bbs-3.15-bioc/meat/mistyR.Rcheck'
* using R Under development (unstable) (2021-11-21 r81221)
* using platform: x86_64-w64-mingw32 (64-bit)
* using session charset: ISO8859-1
* using option '--no-vignettes'
* checking for file 'mistyR/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package 'mistyR' version '1.3.8'
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking whether package 'mistyR' can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking 'build' directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking dependencies in R code ... NOTE
Namespace in Imports field not imported from: 'utils'
All declared Imports should be used.
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of 'data' directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking files in 'vignettes' ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
collect_results 123.33 20.42 143.36
run_misty 44.43 8.94 53.34
reexports 39.20 8.91 47.97
remove_views 22.67 7.45 30.12
add_paraview 18.77 1.10 19.86
plot_improvement_stats 7.69 1.28 7.53
create_view 6.36 0.02 6.37
add_juxtaview 5.04 0.73 5.78
* checking for unstated dependencies in 'tests' ... OK
* checking tests ...
Running 'testthat.R'
OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes in 'inst/doc' ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE
Status: 1 NOTE
See
'D:/biocbuild/bbs-3.15-bioc/meat/mistyR.Rcheck/00check.log'
for details.
mistyR.Rcheck/00install.out
##############################################################################
##############################################################################
###
### Running command:
###
### D:\biocbuild\bbs-3.15-bioc\R\bin\R.exe CMD INSTALL mistyR
###
##############################################################################
##############################################################################
* installing to library 'D:/biocbuild/bbs-3.15-bioc/R/library'
* installing *source* package 'mistyR' ...
** using staged installation
** R
** data
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
converting help for package 'mistyR'
finding HTML links ... done
add_juxtaview html
add_paraview html
add_views html
clear_cache html
collect_results html
create_initial_view html
create_view html
extract_signature html
filter_views html
plot_contrast_heatmap html
plot_contrast_results html
plot_improvement_stats html
plot_interaction_communities html
plot_interaction_heatmap html
plot_view_contributions html
reexports html
remove_views html
rename_view html
run_misty html
select_markers html
synthetic html
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (mistyR)
Making 'packages.html' ... done
mistyR.Rcheck/tests/testthat.Rout
R Under development (unstable) (2021-11-21 r81221) -- "Unsuffered Consequences"
Copyright (C) 2021 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(testthat)
> library(mistyR)
mistyR is able to run computationally intensive functions
in parallel. Please consider specifying a future::plan(). For example by running
future::plan(future::multisession) before calling mistyR functions.
>
> test_check("mistyR")
Generating paraview
Attaching package: 'purrr'
The following object is masked from 'package:testthat':
is_null
Training models
Training models
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
Training models
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
Training models
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
Training models
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
Training models
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
Training models
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
Training models
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
Training models
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
Collecting improvements
Collecting contributions
Collecting importances
Aggregating
Collecting improvements
Collecting contributions
Collecting importances
Aggregating
Training models
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
Training models
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
Training models
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
Training models
Training models
Training models
Generating paraview
Training models
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
Collecting improvements
Collecting contributions
Collecting importances
Aggregating
Generating paraview
Training models
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
Collecting improvements
Collecting contributions
Collecting importances
Aggregating
Generating paraview
Generating paraview
Training models
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
Generating paraview
Training models
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
Generating paraview
Training models
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
Collecting improvements
Collecting contributions
Collecting importances
Aggregating
Aggregating subset
Generating paraview
Training models
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
Generating paraview
Training models
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
Generating paraview
Training models
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions)
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
model.frame(formula = formula, data = oob.predictions %>% dplyr::slice(-test.fold))
Collecting improvements
Collecting contributions
Collecting importances
Aggregating
Computing triangulation
Generating juxtaview
Generating paraview
Generating paraview using 20 nearest neighbors per unit
Approximating RBF matrix using the Nystrom method
Computing triangulation
Generating juxtaview
Generating paraview
Computing triangulation
Generating juxtaview
Generating paraview
Computing triangulation
Generating paraview
Generating paraview
Generating paraview using 2 nearest neighbors per unit
Generating paraview
Generating paraview
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 103 ]
>
> proc.time()
user system elapsed
40.65 2.26 41.73
mistyR.Rcheck/mistyR-Ex.timings
| name | user | system | elapsed | |
| add_juxtaview | 5.04 | 0.73 | 5.78 | |
| add_paraview | 18.77 | 1.10 | 19.86 | |
| add_views | 0.02 | 0.00 | 0.01 | |
| clear_cache | 0.01 | 0.00 | 0.02 | |
| collect_results | 123.33 | 20.42 | 143.36 | |
| create_initial_view | 0.28 | 0.00 | 0.28 | |
| create_view | 6.36 | 0.02 | 6.37 | |
| extract_signature | 3.14 | 0.64 | 3.24 | |
| filter_views | 1.01 | 0.01 | 1.03 | |
| plot_contrast_heatmap | 4.16 | 0.53 | 4.01 | |
| plot_contrast_results | 3.78 | 0.55 | 3.78 | |
| plot_improvement_stats | 7.69 | 1.28 | 7.53 | |
| plot_interaction_communities | 3.65 | 0.56 | 3.61 | |
| plot_interaction_heatmap | 3.77 | 0.63 | 3.72 | |
| plot_view_contributions | 3.05 | 0.73 | 3.08 | |
| reexports | 39.20 | 8.91 | 47.97 | |
| remove_views | 22.67 | 7.45 | 30.12 | |
| rename_view | 0.02 | 0.00 | 0.02 | |
| run_misty | 44.43 | 8.94 | 53.34 | |
| select_markers | 0.27 | 0.02 | 0.29 | |