| Type: | Package |
| Title: | RStudio Addin for Teaching and Learning Data Manipulation Using 'dplyr' |
| Version: | 0.1.0 |
| Imports: | shiny (≥ 0.13), miniUI (≥ 0.1.1), rstudioapi (≥ 0.5), shinyWidgets, shinyAce, tidyverse, tidyr, stringr, magrittr, plyr, DT |
| Suggests: | nycflights13, knitr, rmarkdown |
| URL: | https://github.com/cardiomoon/dplyrAssist |
| BugReports: | https://github.com/cardiomoon/dplyrAssist/issues |
| Description: | An RStudio addin for teaching and learning data manipulation using the 'dplyr' package. You can learn each steps of data manipulation by clicking your mouse without coding. You can get resultant data (as a 'tibble') and the code for data manipulation. |
| License: | GPL-3 |
| Encoding: | UTF-8 |
| LazyData: | true |
| RoxygenNote: | 6.0.1 |
| VignetteBuilder: | knitr |
| NeedsCompilation: | no |
| Packaged: | 2017-09-04 15:26:43 UTC; cardiomoon |
| Author: | Keon-Woong Moon [aut, cre] |
| Maintainer: | Keon-Woong Moon <cardiomoon@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2017-09-04 17:46:22 UTC |
Check the validity of code
Description
Check the validity of code
Usage
checkInvalid(temp)
Arguments
temp |
A character string to check validity |
Value
The position of the first invalid code or NULL
Examples
checkInvalid(c("iris","irisssss"))
Differentiate the R code
Description
Differentiate the R code
Usage
codes2kind(vcodes)
Arguments
vcodes |
A character vector to differentiate |
Value
A character vector indicating whether the code returns text or plot
Examples
require(tidyverse)
temp <-c("iris %>% group_by(Species) %>% summarize_all(mean)","table1")
codes2kind(temp)
A shiny app for learn dplyr
Description
Interactively manipulate a data.frame or a tibble. The resulting
code will be emitted as an R code.
Usage
dplyrAssist(df = NULL, right = NULL)
Arguments
df |
A tibble or a tbl_df or a data.frame to manipulate |
right |
Optional second data(A tibble or a tbl_df or a data.frame) to join |
Details
This addin can be used to interactively manipulate a data.frame or a tibble using dplyr.
The intended way to use this is as follows:
1. Highlight a symbol naming a data.frame or a tibble in your R session,
e.g. mtcars,
2. Execute this addin, to interactively manipulate it.
When you're done, the code for data manipulation will be emitted at the cursor position.
Value
A manipulated tibble or NULL
Examples
library(tidyverse)
library(nycflights13)
## Not run:
dplyrAssist(band_members,band_instruments)
dplyrAssist(flights)
result<-dplyrAssist(iris)
cat(attr(result,"code"))
## End(Not run)
Detect the valid data
Description
Detect the valid data
Usage
findData(codes)
Arguments
codes |
A character vector to detect |
Value
The last data in codes
Examples
require(tidyverse)
temp <- "iris %>%
group_by(Species) %>%
summarize_all(mean)
table1"
findData(temp)
Make valid R code
Description
Make valid R code
Usage
makeValid(temp)
Arguments
temp |
A character vector to make a valid code |
Value
A valid R codes
Examples
require(tidyverse)
temp <- "iris %>%
group_by(Species) %>%
summarize_all(mean)
table1"
makeValid(temp)
Make valid R code
Description
Make valid R code
Usage
makeValidCode(codes)
Arguments
codes |
A character vector to make a valid code |
Value
A valid R codes
Examples
require(tidyverse)
temp <- "iris %>%
group_by(Species) %>%
summarize_all(mean)
table1"
makeValidCode(temp)