say you have in R
m = matrix(0, 10, 5, dimnames = list(
c("A", "B", "C", "D", "E", "F", "G", "H", "I", "J"),
c(1, 2, 3, 4, 5)))
m[1,] = c(0,0,0,0,1)
m[2,] = c(0,0,0,1,1)
m[3,] = c(0,0,1,1,1)
m[4,] = c(0,0,1,1,0)
m[5,] = c(1,0,0,0,0)
m[6,] = c(1,1,1,0,0)
m[7,] = c(0,1,1,0,0)
m[8,] = c(0,1,1,0,0)
m[9,] = c(0,1,1,1,0)
m[10,] = c(1,1,1,0,1)
Above you see matrix m. I have another matrix p such that:
p = matrix(0, 1, 5, dimnames = list(
c("A"),
c(1, 2, 3, 4, 5)))
p[1,] = c(0.2,0.03,0.2,0.01,1)
I have a matrix with say specific values (p-values), just one column. I want to make a new matrix from m but only columns where the value for that column in p is say < 0.05
So basically, I want in R:
for (i in 1:length(p){
if (p[1,i] < 0.05){
#remember i in a list to extract later?
mycols.append(i)
}}
myNewMat <- matrix[,mycols]
thx