| Back to Multiple platform build/check report for BioC 3.22: simplified long |
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This page was generated on 2025-10-24 12:05 -0400 (Fri, 24 Oct 2025).
| Hostname | OS | Arch (*) | R version | Installed pkgs |
|---|---|---|---|---|
| nebbiolo2 | Linux (Ubuntu 24.04.3 LTS) | x86_64 | 4.5.1 Patched (2025-08-23 r88802) -- "Great Square Root" | 4898 |
| lconway | macOS 12.7.6 Monterey | x86_64 | 4.5.1 Patched (2025-09-10 r88807) -- "Great Square Root" | 4688 |
| kjohnson3 | macOS 13.7.7 Ventura | arm64 | 4.5.1 Patched (2025-09-10 r88807) -- "Great Square Root" | 4634 |
| taishan | Linux (openEuler 24.03 LTS) | aarch64 | 4.5.0 (2025-04-11) -- "How About a Twenty-Six" | 4658 |
| 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 | ||||
| Package 2212/2359 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
| tidySpatialExperiment 1.5.1 (landing page) William Hutchison
| nebbiolo2 | Linux (Ubuntu 24.04.3 LTS) / x86_64 | OK | OK | OK |  | ||||||||
| lconway | macOS 12.7.6 Monterey / x86_64 | OK | OK | OK | OK | | ||||||||
| kjohnson3 | macOS 13.7.7 Ventura / arm64 | OK | OK | OK | OK | | ||||||||
| taishan | Linux (openEuler 24.03 LTS) / aarch64 | OK | OK | NA | ||||||||||
|
To the developers/maintainers of the tidySpatialExperiment package: - Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/tidySpatialExperiment.git to reflect on this report. See Troubleshooting Build Report for more information. - Use the following Renviron settings to reproduce errors and warnings. - If 'R CMD check' started to fail recently on the Linux builder(s) over a missing dependency, add the missing dependency to 'Suggests:' in your DESCRIPTION file. See Renviron.bioc for more information. |
| Package: tidySpatialExperiment |
| Version: 1.5.1 |
| Command: /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:tidySpatialExperiment.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings tidySpatialExperiment_1.5.1.tar.gz |
| StartedAt: 2025-10-24 00:43:52 -0400 (Fri, 24 Oct 2025) |
| EndedAt: 2025-10-24 00:48:43 -0400 (Fri, 24 Oct 2025) |
| EllapsedTime: 291.4 seconds |
| RetCode: 0 |
| Status: OK |
| CheckDir: tidySpatialExperiment.Rcheck |
| Warnings: 0 |
##############################################################################
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###
### Running command:
###
### /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:tidySpatialExperiment.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings tidySpatialExperiment_1.5.1.tar.gz
###
##############################################################################
##############################################################################
* using log directory ‘/Users/biocbuild/bbs-3.22-bioc/meat/tidySpatialExperiment.Rcheck’
* using R version 4.5.1 Patched (2025-09-10 r88807)
* using platform: x86_64-apple-darwin20
* R was compiled by
Apple clang version 14.0.0 (clang-1400.0.29.202)
GNU Fortran (GCC) 14.2.0
* running under: macOS Monterey 12.7.6
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘tidySpatialExperiment/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘tidySpatialExperiment’ version ‘1.5.1’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... INFO
Imports includes 24 non-default packages.
Importing from so many packages makes the package vulnerable to any of
them becoming unavailable. Move as many as possible to Suggests and
use conditionally.
* 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 for sufficient/correct file permissions ... OK
* checking whether package ‘tidySpatialExperiment’ 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 code 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 ... OK
* 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 LazyData ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
Running ‘testthat.R’
OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE
Status: OK
tidySpatialExperiment.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL tidySpatialExperiment ### ############################################################################## ############################################################################## * installing to library ‘/Library/Frameworks/R.framework/Versions/4.5-x86_64/Resources/library’ * installing *source* package ‘tidySpatialExperiment’ ... ** this is package ‘tidySpatialExperiment’ version ‘1.5.1’ ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** 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 (tidySpatialExperiment)
tidySpatialExperiment.Rcheck/tests/testthat.Rout
R version 4.5.1 Patched (2025-09-10 r88807) -- "Great Square Root"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin20
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(tidySpatialExperiment)
Loading required package: SpatialExperiment
Loading required package: SingleCellExperiment
Loading required package: SummarizedExperiment
Loading required package: MatrixGenerics
Loading required package: matrixStats
Attaching package: 'MatrixGenerics'
The following objects are masked from 'package:matrixStats':
colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse,
colCounts, colCummaxs, colCummins, colCumprods, colCumsums,
colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs,
colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats,
colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds,
colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads,
colWeightedMeans, colWeightedMedians, colWeightedSds,
colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet,
rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods,
rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps,
rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins,
rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks,
rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars,
rowWeightedMads, rowWeightedMeans, rowWeightedMedians,
rowWeightedSds, rowWeightedVars
Loading required package: GenomicRanges
Loading required package: stats4
Loading required package: BiocGenerics
Loading required package: generics
Attaching package: 'generics'
The following objects are masked from 'package:base':
as.difftime, as.factor, as.ordered, intersect, is.element, setdiff,
setequal, union
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:stats':
IQR, mad, sd, var, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, aperm, append,
as.data.frame, basename, cbind, colnames, dirname, do.call,
duplicated, eval, evalq, get, grep, grepl, is.unsorted, lapply,
mapply, match, mget, order, paste, pmax, pmax.int, pmin, pmin.int,
rank, rbind, rownames, sapply, saveRDS, table, tapply, unique,
unsplit, which.max, which.min
Loading required package: S4Vectors
Attaching package: 'S4Vectors'
The following object is masked from 'package:utils':
findMatches
The following objects are masked from 'package:base':
I, expand.grid, unname
Loading required package: IRanges
Loading required package: Seqinfo
Loading required package: Biobase
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
Attaching package: 'Biobase'
The following object is masked from 'package:MatrixGenerics':
rowMedians
The following objects are masked from 'package:matrixStats':
anyMissing, rowMedians
Loading required package: tidySingleCellExperiment
Attaching package: 'tidySingleCellExperiment'
The following object is masked from 'package:generics':
tidy
Attaching package: 'tidySpatialExperiment'
The following object is masked from 'package:tidySingleCellExperiment':
unnest_single_cell_experiment
>
> test_check("tidySpatialExperiment")
rd10xV> dir <- system.file(
rd10xV+ file.path("extdata", "10xVisium"),
rd10xV+ package = "SpatialExperiment")
rd10xV> sample_ids <- c("section1", "section2")
rd10xV> samples <- file.path(dir, sample_ids, "outs")
rd10xV> list.files(samples[1])
[1] "raw_feature_bc_matrix" "spatial"
rd10xV> list.files(file.path(samples[1], "spatial"))
[1] "scalefactors_json.json" "tissue_lowres_image.png"
[3] "tissue_positions_list.csv"
rd10xV> file.path(samples[1], "raw_feature_bc_matrix")
[1] "/Library/Frameworks/R.framework/Versions/4.5-x86_64/Resources/library/SpatialExperiment/extdata/10xVisium/section1/outs/raw_feature_bc_matrix"
rd10xV> (spe <- read10xVisium(samples, sample_ids,
rd10xV+ type = "sparse", data = "raw",
rd10xV+ images = "lowres", load = FALSE))
# A SpatialExperiment-tibble abstraction: 99 × 7
# Features = 50 | Cells = 99 | Assays = counts
.cell in_tissue array_row array_col sample_id pxl_col_in_fullres
<chr> <lgl> <int> <int> <chr> <int>
1 AAACAACGAATAGTTC-1 FALSE 0 16 section1 2312
2 AAACAAGTATCTCCCA-1 TRUE 50 102 section1 8230
3 AAACAATCTACTAGCA-1 TRUE 3 43 section1 4170
4 AAACACCAATAACTGC-1 TRUE 59 19 section1 2519
5 AAACAGAGCGACTCCT-1 TRUE 14 94 section1 7679
6 AAACAGCTTTCAGAAG-1 FALSE 43 9 section1 1831
7 AAACAGGGTCTATATT-1 FALSE 47 13 section1 2106
8 AAACAGTGTTCCTGGG-1 FALSE 73 43 section1 4170
9 AAACATGGTGAGAGGA-1 FALSE 62 0 section1 1212
10 AAACATTTCCCGGATT-1 FALSE 61 97 section1 7886
# ℹ 89 more rows
# ℹ 1 more variable: pxl_row_in_fullres <int>
rd10xV> # base directory 'outs/' from Space Ranger can also be omitted
rd10xV> samples2 <- file.path(dir, sample_ids)
rd10xV> (spe2 <- read10xVisium(samples2, sample_ids,
rd10xV+ type = "sparse", data = "raw",
rd10xV+ images = "lowres", load = FALSE))
# A SpatialExperiment-tibble abstraction: 99 × 7
# Features = 50 | Cells = 99 | Assays = counts
.cell in_tissue array_row array_col sample_id pxl_col_in_fullres
<chr> <lgl> <int> <int> <chr> <int>
1 AAACAACGAATAGTTC-1 FALSE 0 16 section1 2312
2 AAACAAGTATCTCCCA-1 TRUE 50 102 section1 8230
3 AAACAATCTACTAGCA-1 TRUE 3 43 section1 4170
4 AAACACCAATAACTGC-1 TRUE 59 19 section1 2519
5 AAACAGAGCGACTCCT-1 TRUE 14 94 section1 7679
6 AAACAGCTTTCAGAAG-1 FALSE 43 9 section1 1831
7 AAACAGGGTCTATATT-1 FALSE 47 13 section1 2106
8 AAACAGTGTTCCTGGG-1 FALSE 73 43 section1 4170
9 AAACATGGTGAGAGGA-1 FALSE 62 0 section1 1212
10 AAACATTTCCCGGATT-1 FALSE 61 97 section1 7886
# ℹ 89 more rows
# ℹ 1 more variable: pxl_row_in_fullres <int>
rd10xV> # tabulate number of spots mapped to tissue
rd10xV> cd <- colData(spe)
rd10xV> table(
rd10xV+ in_tissue = cd$in_tissue,
rd10xV+ sample_id = cd$sample_id)
sample_id
in_tissue section1 section2
FALSE 28 27
TRUE 22 22
rd10xV> # view available images
rd10xV> imgData(spe)
DataFrame with 2 rows and 4 columns
sample_id image_id data scaleFactor
<character> <character> <list> <numeric>
1 section1 lowres #### 0.0510334
2 section2 lowres #### 0.0510334
rd10xV> dir <- system.file(
rd10xV+ file.path("extdata", "10xVisium"),
rd10xV+ package = "SpatialExperiment")
rd10xV> sample_ids <- c("section1", "section2")
rd10xV> samples <- file.path(dir, sample_ids, "outs")
rd10xV> list.files(samples[1])
[1] "raw_feature_bc_matrix" "spatial"
rd10xV> list.files(file.path(samples[1], "spatial"))
[1] "scalefactors_json.json" "tissue_lowres_image.png"
[3] "tissue_positions_list.csv"
rd10xV> file.path(samples[1], "raw_feature_bc_matrix")
[1] "/Library/Frameworks/R.framework/Versions/4.5-x86_64/Resources/library/SpatialExperiment/extdata/10xVisium/section1/outs/raw_feature_bc_matrix"
rd10xV> (spe <- read10xVisium(samples, sample_ids,
rd10xV+ type = "sparse", data = "raw",
rd10xV+ images = "lowres", load = FALSE))
# A SpatialExperiment-tibble abstraction: 99 × 7
# Features = 50 | Cells = 99 | Assays = counts
.cell in_tissue array_row array_col sample_id pxl_col_in_fullres
<chr> <lgl> <int> <int> <chr> <int>
1 AAACAACGAATAGTTC-1 FALSE 0 16 section1 2312
2 AAACAAGTATCTCCCA-1 TRUE 50 102 section1 8230
3 AAACAATCTACTAGCA-1 TRUE 3 43 section1 4170
4 AAACACCAATAACTGC-1 TRUE 59 19 section1 2519
5 AAACAGAGCGACTCCT-1 TRUE 14 94 section1 7679
6 AAACAGCTTTCAGAAG-1 FALSE 43 9 section1 1831
7 AAACAGGGTCTATATT-1 FALSE 47 13 section1 2106
8 AAACAGTGTTCCTGGG-1 FALSE 73 43 section1 4170
9 AAACATGGTGAGAGGA-1 FALSE 62 0 section1 1212
10 AAACATTTCCCGGATT-1 FALSE 61 97 section1 7886
# ℹ 89 more rows
# ℹ 1 more variable: pxl_row_in_fullres <int>
rd10xV> # base directory 'outs/' from Space Ranger can also be omitted
rd10xV> samples2 <- file.path(dir, sample_ids)
rd10xV> (spe2 <- read10xVisium(samples2, sample_ids,
rd10xV+ type = "sparse", data = "raw",
rd10xV+ images = "lowres", load = FALSE))
# A SpatialExperiment-tibble abstraction: 99 × 7
# Features = 50 | Cells = 99 | Assays = counts
.cell in_tissue array_row array_col sample_id pxl_col_in_fullres
<chr> <lgl> <int> <int> <chr> <int>
1 AAACAACGAATAGTTC-1 FALSE 0 16 section1 2312
2 AAACAAGTATCTCCCA-1 TRUE 50 102 section1 8230
3 AAACAATCTACTAGCA-1 TRUE 3 43 section1 4170
4 AAACACCAATAACTGC-1 TRUE 59 19 section1 2519
5 AAACAGAGCGACTCCT-1 TRUE 14 94 section1 7679
6 AAACAGCTTTCAGAAG-1 FALSE 43 9 section1 1831
7 AAACAGGGTCTATATT-1 FALSE 47 13 section1 2106
8 AAACAGTGTTCCTGGG-1 FALSE 73 43 section1 4170
9 AAACATGGTGAGAGGA-1 FALSE 62 0 section1 1212
10 AAACATTTCCCGGATT-1 FALSE 61 97 section1 7886
# ℹ 89 more rows
# ℹ 1 more variable: pxl_row_in_fullres <int>
rd10xV> # tabulate number of spots mapped to tissue
rd10xV> cd <- colData(spe)
rd10xV> table(
rd10xV+ in_tissue = cd$in_tissue,
rd10xV+ sample_id = cd$sample_id)
sample_id
in_tissue section1 section2
FALSE 28 27
TRUE 22 22
rd10xV> # view available images
rd10xV> imgData(spe)
DataFrame with 2 rows and 4 columns
sample_id image_id data scaleFactor
<character> <character> <list> <numeric>
1 section1 lowres #### 0.0510334
2 section2 lowres #### 0.0510334
rd10xV> dir <- system.file(
rd10xV+ file.path("extdata", "10xVisium"),
rd10xV+ package = "SpatialExperiment")
rd10xV> sample_ids <- c("section1", "section2")
rd10xV> samples <- file.path(dir, sample_ids, "outs")
rd10xV> list.files(samples[1])
[1] "raw_feature_bc_matrix" "spatial"
rd10xV> list.files(file.path(samples[1], "spatial"))
[1] "scalefactors_json.json" "tissue_lowres_image.png"
[3] "tissue_positions_list.csv"
rd10xV> file.path(samples[1], "raw_feature_bc_matrix")
[1] "/Library/Frameworks/R.framework/Versions/4.5-x86_64/Resources/library/SpatialExperiment/extdata/10xVisium/section1/outs/raw_feature_bc_matrix"
rd10xV> (spe <- read10xVisium(samples, sample_ids,
rd10xV+ type = "sparse", data = "raw",
rd10xV+ images = "lowres", load = FALSE))
# A SpatialExperiment-tibble abstraction: 99 × 7
# Features = 50 | Cells = 99 | Assays = counts
.cell in_tissue array_row array_col sample_id pxl_col_in_fullres
<chr> <lgl> <int> <int> <chr> <int>
1 AAACAACGAATAGTTC-1 FALSE 0 16 section1 2312
2 AAACAAGTATCTCCCA-1 TRUE 50 102 section1 8230
3 AAACAATCTACTAGCA-1 TRUE 3 43 section1 4170
4 AAACACCAATAACTGC-1 TRUE 59 19 section1 2519
5 AAACAGAGCGACTCCT-1 TRUE 14 94 section1 7679
6 AAACAGCTTTCAGAAG-1 FALSE 43 9 section1 1831
7 AAACAGGGTCTATATT-1 FALSE 47 13 section1 2106
8 AAACAGTGTTCCTGGG-1 FALSE 73 43 section1 4170
9 AAACATGGTGAGAGGA-1 FALSE 62 0 section1 1212
10 AAACATTTCCCGGATT-1 FALSE 61 97 section1 7886
# ℹ 89 more rows
# ℹ 1 more variable: pxl_row_in_fullres <int>
rd10xV> # base directory 'outs/' from Space Ranger can also be omitted
rd10xV> samples2 <- file.path(dir, sample_ids)
rd10xV> (spe2 <- read10xVisium(samples2, sample_ids,
rd10xV+ type = "sparse", data = "raw",
rd10xV+ images = "lowres", load = FALSE))
# A SpatialExperiment-tibble abstraction: 99 × 7
# Features = 50 | Cells = 99 | Assays = counts
.cell in_tissue array_row array_col sample_id pxl_col_in_fullres
<chr> <lgl> <int> <int> <chr> <int>
1 AAACAACGAATAGTTC-1 FALSE 0 16 section1 2312
2 AAACAAGTATCTCCCA-1 TRUE 50 102 section1 8230
3 AAACAATCTACTAGCA-1 TRUE 3 43 section1 4170
4 AAACACCAATAACTGC-1 TRUE 59 19 section1 2519
5 AAACAGAGCGACTCCT-1 TRUE 14 94 section1 7679
6 AAACAGCTTTCAGAAG-1 FALSE 43 9 section1 1831
7 AAACAGGGTCTATATT-1 FALSE 47 13 section1 2106
8 AAACAGTGTTCCTGGG-1 FALSE 73 43 section1 4170
9 AAACATGGTGAGAGGA-1 FALSE 62 0 section1 1212
10 AAACATTTCCCGGATT-1 FALSE 61 97 section1 7886
# ℹ 89 more rows
# ℹ 1 more variable: pxl_row_in_fullres <int>
rd10xV> # tabulate number of spots mapped to tissue
rd10xV> cd <- colData(spe)
rd10xV> table(
rd10xV+ in_tissue = cd$in_tissue,
rd10xV+ sample_id = cd$sample_id)
sample_id
in_tissue section1 section2
FALSE 28 27
TRUE 22 22
rd10xV> # view available images
rd10xV> imgData(spe)
DataFrame with 2 rows and 4 columns
sample_id image_id data scaleFactor
<character> <character> <list> <numeric>
1 section1 lowres #### 0.0510334
2 section2 lowres #### 0.0510334
[ FAIL 0 | WARN 9 | SKIP 0 | PASS 39 ]
[ FAIL 0 | WARN 9 | SKIP 0 | PASS 39 ]
>
> proc.time()
user system elapsed
21.859 0.892 22.946
tidySpatialExperiment.Rcheck/tidySpatialExperiment-Ex.timings
| name | user | system | elapsed | |
| aggregate_cells | 4.192 | 0.140 | 4.351 | |
| arrange | 2.501 | 0.039 | 2.553 | |
| as_tibble | 1.397 | 0.101 | 1.504 | |
| bind_cols | 1.520 | 0.030 | 1.555 | |
| bind_rows | 1.548 | 0.034 | 1.590 | |
| count | 1.640 | 0.033 | 1.683 | |
| distinct | 1.436 | 0.028 | 1.471 | |
| ellipse | 1.524 | 0.030 | 1.562 | |
| extract | 1.486 | 0.030 | 1.524 | |
| filter | 1.558 | 0.033 | 1.599 | |
| formatting | 1.456 | 0.030 | 1.493 | |
| gate | 1.540 | 0.030 | 1.578 | |
| gate_interactive | 1.361 | 0.032 | 1.400 | |
| gate_programmatic | 1.478 | 0.029 | 1.512 | |
| ggplot | 1.620 | 0.035 | 1.662 | |
| glimpse | 1.318 | 0.031 | 1.360 | |
| group_by | 1.522 | 0.033 | 1.569 | |
| inner_join | 1.746 | 0.033 | 1.789 | |
| join_features | 1.502 | 0.029 | 1.539 | |
| left_join | 1.734 | 0.032 | 1.775 | |
| mutate | 1.498 | 0.030 | 1.535 | |
| nest | 1.571 | 0.034 | 1.615 | |
| pivot_longer | 1.496 | 0.028 | 1.529 | |
| plot_ly | 1.578 | 0.067 | 1.654 | |
| pull | 1.490 | 0.033 | 1.533 | |
| rectangle | 1.562 | 0.030 | 1.602 | |
| rename | 1.728 | 0.036 | 1.779 | |
| right_join | 1.623 | 0.034 | 1.666 | |
| rowwise | 1.408 | 0.030 | 1.446 | |
| sample_n | 1.641 | 0.037 | 1.691 | |
| select | 1.308 | 0.027 | 1.345 | |
| separate | 1.462 | 0.031 | 1.503 | |
| slice | 1.508 | 0.046 | 1.567 | |
| summarise | 1.365 | 0.045 | 1.423 | |
| tbl_format_header | 0 | 0 | 0 | |
| unite | 1.509 | 0.035 | 1.559 | |
| unnest | 1.927 | 0.037 | 1.986 | |