I have a variable that is a list.
[[1]]
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
[1,] 1 1 1 1 1 1 1 4
[2,] 1 1 1 1 1 1 1 4
[3,] 1 1 1 1 1 1 1 4
[4,] 1 1 1 1 1 1 1 4
[5,] 1 1 1 1 1 1 1 4
[6,] 1 1 1 1 1 1 1 4
[7,] 1 1 1 1 1 1 1 4
[8,] 1 1 1 1 1 1 1 4
[9,] 1 1 1 1 1 1 1 4
[10,] 1 1 1 1 1 1 1 4
[11,] 1 1 1 1 1 1 1 4
[[2]]
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
[1,] 1 1 1 1 1 1 1 3
[2,] 1 1 1 1 1 1 1 4
[3,] 1 1 1 1 1 1 1 4
[4,] 1 1 1 1 1 1 1 3
[5,] 1 1 1 1 1 1 1 4
[6,] 1 1 1 1 1 1 1 4
[7,] 1 1 1 1 1 1 1 4
[8,] 1 1 1 1 1 1 1 4
[9,] 1 1 1 1 1 1 1 4
[10,] 1 1 1 1 1 1 1 4
[11,] 1 1 1 1 1 1 1 4
I need an empty variable which is same format as this variable. My function will do some computation and will be put in the same location as this variable. However in the new variable I will not have 8th column.
Replicate your data
df = list(matrix(rep(1, 88), ncol = 8), matrix(rep(1, 88), ncol = 8))
Remove the 8th column from all sublist
new_df = lapply(df, function(x) x[,-8])
Remove the 8th column from all sublist and replace all the 1's with NA
new_df = lapply(df, function(x) replace(x[,-8], x[,-8] == 1, NA))