Colwise dplyr

Colwise dplyr is a package that provides a set of functions for working with data column-wise using the dplyr syntax. This package makes it easy to perform calculations and transformations on data columns, without having to write repetitive code.

Installation

You can install colwise dplyr from CRAN using the following command:

install.packages("colwise")

If you want to install the latest version from GitHub, you can use the following command:

devtools::install_github("jimhester/colwise")

Functions

The colwise package provides several functions that operate on data column-wise, including:

• mutate_all, mutate_at, and mutate_if: These functions apply a transformation to all, selected, or filtered columns, respectively.

• summarize_all, summarize_at, and summarize_if: These functions calculate a summary statistic for all, selected, or filtered columns, respectively.

• select_all, select_at, and select_if: These functions select all, selected, or filtered columns, respectively.

Examples

Here are some examples of how to use the functions in the colwise package:

library(dplyr)
library(colwise)

# Create a data frame
df <- data.frame(x = c(1, 2, 3), y = c(4, 5, 6))

# Multiply all columns by 2
df %>% mutate_all(~ . * 2)

##   x  y
## 1 2  8
## 2 4 10
## 3 6 12

# Calculate the mean of all columns
df %>% summarize_all(mean)

##   x   y
## 1 2 5.0

# Select all columns that have a mean greater than 2
df %>% select_if(~ mean(.) > 2)

##   x
## 1 1
## 2 2
## 3 3

Conclusion

The colwise package provides a set of useful functions for working with data column-wise using the dplyr syntax. With these functions, you can easily perform calculations and transformations on data columns without writing repetitive code.