There are great questions and answers on how to move a column to the first or last place.
Using dplyr
The best answers are respectively analog to :
iris2 <- iris %>% head(2)
iris2 %>% select( Sepal.Width, everything()) # move Sepal.Width to first
# Sepal.Width Sepal.Length Petal.Length Petal.Width Species
# 1 3.5 5.1 1.4 0.2 setosa
# 2 3.0 4.9 1.4 0.2 setosa
iris2 %>% select(-Sepal.Width, Sepal.Width) # move Sepal.Width to last
# Sepal.Length Petal.Length Petal.Width Species Sepal.Width
# 1 5.1 1.4 0.2 setosa 3.5
# 2 4.9 1.4 0.2 setosa 3.0
However I didn't find any easy way to move a column after or before a given one.
Expected output :
iris2 %>% move_at(Species, Sepal.Width, side = "before")
# Sepal.Length Species Sepal.Width Petal.Length Petal.Width
# 1 5.1 setosa 3.5 1.4 0.2
# 2 4.9 setosa 3.0 1.4 0.2
iris2 %>% move_at(Species, Sepal.Width, side = "after")
# Sepal.Length Sepal.Width Species Petal.Length Petal.Width
# 1 5.1 3.5 setosa 1.4 0.2
# 2 4.9 3.0 setosa 1.4 0.2
This seems to work, regardless of original column order (thanks for the comment to @Moody_Mudskipper ):
iris %>% select(1:Sepal.Width, -Species, Species, everything()) %>% head(2)
#> Sepal.Length Sepal.Width Species Petal.Length Petal.Width
#> 1 5.1 3.5 setosa 1.4 0.2
#> 2 4.9 3.0 setosa 1.4 0.2
iris %>% select(1:Sepal.Width, -Sepal.Width, -Species, Species, everything()) %>% head(2)
#> Sepal.Length Species Sepal.Width Petal.Length Petal.Width
#> 1 5.1 setosa 3.5 1.4 0.2
#> 2 4.9 setosa 3.0 1.4 0.2
UPDATE : using rlang::enquo
I could make it much better, then using @Zsombor's answer I could make it much shorter and more elegant. old solution (in base R) at the end of answer
#' Move column or selection of columns
#'
#' Column(s) described by \code{cols} are moved before (default) or after the reference
#' column described by \code{ref}
#'
#' @param data A \code{data.frame}
#' @param cols unquoted column name or numeric or selection of columns using a select helper
#' @param ref unquoted column name
#' @param side \code{"before"} or \code{"after"}
#'
#' @return A data.frame with reordered columns
#' @export
#'
#' @examples
#' iris2 <- head(iris,2)
#' move(iris2, Species, Sepal.Width)
#' move(iris2, Species, Sepal.Width, "after")
#' move(iris2, 5, 2)
#' move(iris2, 4:5, 2)
#' move(iris2, one_of("Sepal.Width","Species"), Sepal.Width)
#' move(iris2, starts_with("Petal"), Sepal.Width)
move <- function(data, cols, ref, side = c("before","after")){
if(! requireNamespace("dplyr"))
stop("Make sure package 'dplyr' is installed to use function 'move'")
side <- match.arg(side)
cols <- rlang::enquo(cols)
ref <- rlang::enquo(ref)
if(side == "before")
dplyr::select(data,1:!!ref,-!!ref,-!!cols,!!cols,dplyr::everything())
else
dplyr::select(data,1:!!ref,-!!cols,!!cols,dplyr::everything())
}
examples:
iris2 %>% move(Species, Sepal.Width)
# Sepal.Length Species Sepal.Width Petal.Length Petal.Width
# 1 5.1 setosa 3.5 1.4 0.2
# 2 4.9 setosa 3.0 1.4 0.2
iris2 %>% move(Species, Sepal.Width, "after")
# Sepal.Length Sepal.Width Species Petal.Length Petal.Width
# 1 5.1 3.5 setosa 1.4 0.2
# 2 4.9 3.0 setosa 1.4 0.2
iris2 %>% move(5, 2)
# Sepal.Length Species Sepal.Width Petal.Length Petal.Width
# 1 5.1 setosa 3.5 1.4 0.2
# 2 4.9 setosa 3.0 1.4 0.2
iris2 %>% move(4:5, 2)
# Sepal.Length Petal.Width Species Sepal.Width Petal.Length
# 1 5.1 0.2 setosa 3.5 1.4
# 2 4.9 0.2 setosa 3.0 1.4
iris2 %>% move(one_of("Sepal.Width","Species"), Sepal.Width)
# Sepal.Length Sepal.Width Species Petal.Length Petal.Width
# 1 5.1 3.5 setosa 1.4 0.2
# 2 4.9 3.0 setosa 1.4 0.2
iris2 %>% move(starts_with("Petal"), Sepal.Width)
# Sepal.Length Petal.Length Petal.Width Sepal.Width Species
# 1 5.1 1.4 0.2 3.5 setosa
# 2 4.9 1.4 0.2 3.0 setosa
Old solution
Here's a simple solution using only base R programming :
move_at <- function(data, col, ref, side = c("before","after")){
side = match.arg(side)
col_pos <- match(as.character(substitute(col)),names(data))
ref_pos <- match(as.character(substitute(ref)),names(data))
sorted_pos <- c(col_pos,ref_pos)
if(side =="after") sorted_pos <- rev(sorted_pos)
data[c(setdiff(seq_len(ref_pos-1),col_pos),
sorted_pos,
setdiff(seq_along(data),c(seq_len(ref_pos),col_pos)))]
}
iris2 %>% move_at(Species, Sepal.Width)
# Sepal.Length Species Sepal.Width Petal.Length Petal.Width
# 1 5.1 setosa 3.5 1.4 0.2
# 2 4.9 setosa 3.0 1.4 0.2
iris2 %>% move_at(Species, Sepal.Width, "after")
# Sepal.Length Sepal.Width Species Petal.Length Petal.Width
# 1 5.1 3.5 setosa 1.4 0.2
# 2 4.9 3.0 setosa 1.4 0.2
Just for the record, another solution would be
library(tidyverse)
data(iris)
iris %>%
select(-Species) %>%
add_column(Specis = iris$Species, .before = "Petal.Length") %>%
head()
#> Sepal.Length Sepal.Width Specis Petal.Length Petal.Width
#> 1 5.1 3.5 setosa 1.4 0.2
#> 2 4.9 3.0 setosa 1.4 0.2
#> 3 4.7 3.2 setosa 1.3 0.2
#> 4 4.6 3.1 setosa 1.5 0.2
#> 5 5.0 3.6 setosa 1.4 0.2
#> 6 5.4 3.9 setosa 1.7 0.4
Created on 2018-08-31 by the reprex package (v0.2.0).
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