How to load in columns of data automatically as variables in r-CodePudding

I have a data set which has over 100 variables/column headers and I want to load all of them as variables into R. I can load the dataset in fine, but I find it tedious having to convert each column as

var1 <- df$col1

var2 <- df$col2 . . .

all the way to var100 <- df$col100. How can I quickly make all of these columns turn into variables?

Bonus points for saying how to only get certain columns turn into variables quickly, such as columns 5 through 85.

I know I should also post a usable data frame or something for a person answering to download and manipulate but I don't know how to get my dataframe in R into my StackOverflow question so I only have an example 5x5 grid image of the data in excel to provide. Again this is a far larger dataset than the image shows.

Sample Data

CodePudding user response：

You could also do it with assign():

dat <- data.frame(
  var1 = rnorm(10), 
  var2 = rnorm(10), 
  var3 = rnorm(10), 
  var4 = rnorm(10), 
  var5 = rnorm(10)
)

for(i in 1:ncol(dat)){
  assign(paste0("var", i), dat[[paste0("var", i)]])
}
var1
#>  [1] -0.98086606  0.40048599  1.19099096  1.03191817 -1.06956025 -0.03919399
#>  [7]  1.32809944  1.05396682  0.07826412  1.00137558
var2
#>  [1] -0.37338283  0.48710182  0.80729920  0.98664978  0.06286747  2.77966983
#>  [7] -0.08503804 -0.17249172  0.88482571 -0.83201587

^{Created on 2022-06-03 by the reprex package (v2.0.1)}

This also makes it easy to only do some columns by changing the numbers over which the loop operates (e.g., 1:ncol(dat) could be something like c(1,3,7,12) or 5:85).