The relocate() function is a simple but very useful function from the Tidyverse. It allows you to move the position with columns within a data frame. I use this most often where I have been delivered data that is not presented in a logical column order, particularly if I am going to be using the select() function to select ranges of columns like in my example below.
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library(tidyverse)
mydata<-data.frame(stringsAsFactors = TRUE,
Class = c("A", "A", "A", "A", "B", "B", "B", "B"),
Q1 = c(5, 3, 4, 4, 6, 3, 2, 1),
Q3 = c(4, 5, 3, 1, 2, 3, 4, 5),
Q4 = c(4, 2, 4, 5, 3, 5, 6, 5),
Q5 = c(2, 1, 2, 1, 2, 3, 2, 3),
Q2 = c(2, 2, 3, 6, 5, 1, 3, 2),
Gender = c("M", "F", "X", "M", "F", "X", "M", "F"),
State = c("VIC", "VIC", "VIC", "NSW", "NSW", "QLD", "QLD", "QLD"))
# Why might I want to rearrange? Important for larger sets if selecting like this
mydata %>% select(Q1:Q5)
# Fixing position of Q2
newdata <- mydata %>% relocate(Q2, .after=Q1)
mydata %>% relocate(Q2, .before=Q3)
# Move Gender variable to first column
mydata %>% relocate(Gender)
# Move Gender and State to first two columns
mydata %>% relocate(Gender, State)