I am struggling to solve the captioned problem.
My dataframe is like:
X1 X2 X3 X4 X5
1 1 2 3 4 5
2 6 7 8 9 10
3 11 12 13 14 15
What I am trying to do is randomly selecting 3 elements from the third and fourth column and replace their values by 0. So the manipulated dataframe could be like
X1 X2 X3 X4 X5
1 1 2 3 4 5
2 6 7 0 0 10
3 11 12 13 0 15
I saw from here Random number selection from a data-frame that it could be easier if I convert the data frame into matrix, so I tried
mat <- data.frame(rbind(rep(1:5, 1), rep(6:10, 1), rep(11:15, 1)))
mat_matrix <- as.matrix(mat)
mat_matrix[sample(mat_matrix[, 3:4], 3)] <- 0
But it just randomly picked 3 elements across all columns and rows in the matrix and turned them into 0.
Can anyone help me out?
Nothing wrong with a for loop in this case. Perhaps like this:
mat <- data.frame(rbind(rep(1:5, 1), rep(6:10, 1), rep(11:15, 1)))
cols <- c(3,4)
n <- nrow(mat)*length(cols)
v <- sample( x=1:n, size=3 )
m <- matrix(FALSE, ncol=length(cols), nrow=nrow(mat))
m[v] <- TRUE
for( i in seq_along(cols) ) {
mat[ m[,i], cols[i] ] <- 0
}
Just create a two column "index matrix" that you sample on and use to replace back into your data.