Hello,
Try the following.
# 1.
idx <- seq(50, 100, by = 10)
mat <- matrix(difMH[idx]$DIFitems, ncol = length(idx))
# 2.
comp <- c(1, 9, 21, 22, 25, 30, 34, 38)
hit <- lapply(difMH[idx], function(x) length(intersect(x$DIFitems, comp)))
falarm <- lapply(difMH[idx], function(x) length(setdiff(x$DIFitems, comp)))
Hope this helps,
Rui Barradas
Em 26-12-2012 12:37, Yung Chih Ou escreveu:
Dear all:
I have six vector from six DIF detection results.
as below:
difMH[[100]]$DIFitems
[1] 1 9 19 21 22 24 25 27 29 30 34 38 40
difMH[[90]]$DIFitems
[1] 1 2 9 14 18 19 21 22 25 28 30 34 38 39
difMH[[80]]$DIFitems
[1] 1 8 9 19 21 22 24 25 26 28 30 34 38
difMH[[70]]$DIFitems
[1] 1 8 9 10 16 18 21 22 25 28 30 32 34 38 39
difMH[[60]]$DIFitems
[1] 1 9 19 21 22 23 25 27 30 34 36 38 39
difMH[[50]]$DIFitems
[1] 1 9 10 11 17 18 21 22 23 25 28 30 34 38 39
I have two questions.
first, how to combine these to a matrix?
second, how to compare them with "1 9 21 22 25 30 34 38"
how much units hit?
how much units are false-alarm?
thanks!
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