Hello,
muting wrote:
Hi everyone:
I have a dataset:
This looks like a matrix. To perform functions on each row or column of
a matrix, use the apply function.
If you had a data.frame, you could perform a function on each column
using sapply or lapply.
tm1
col1 col2
[1,] 1 NA
[2,] 1 1
[3,] 2 2
[4,] 1 1
[5,] 2 2
[6,] 1 NA
I need to delete entire column 2 that has NA in it(not all of them are NAs),
and the result I want is
tm1
col1
[1,] 1
[2,] 1
[3,] 2
[4,] 1
[5,] 2
[6,] 1
what should I do?
## for a data.frame x
x <- data.frame(a = 1:10, b = c(2:10, NA), c = 2:11)
x[sapply(x, function(x) !any(is.na(x)))]
## for a matrix y
y <- matrix(1:30, ncol = 3)
y[20] <- NA
y[, apply(y, 2, function(x) !any(is.na(x)))]
## or maybe even simply...
y[,complete.cases(t(y))]
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