Description Usage Arguments Value Examples
This function standardizes an N by P data matrix, as is strongly recommended before using any of the brxx reliability estimation functions
1 |
data |
N by P data matrix. |
Returns an item level standardized data matrix.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | set.seed(999)
your_data=data.frame(mvrnorm(n=20,mu=c(0,0,0,0,0,0,0),
Sigma=matrix(c(4,2,2,2,2,2,2,
2,4,2,2,2,2,2,
2,2,4,2,2,2,2,
2,2,2,4,2,2,2,
2,2,2,2,4,2,2,
2,2,2,2,2,4,2,
2,2,2,2,2,2,4),
nrow=7, ncol=7)))
your_data_miss=matrix(ncol=5,nrow=20)
for (i in 1:20){
for (p in 1:5){
your_data_miss[i,p]=ifelse(runif(1,0,1)<0.2,NA,your_data[i,p])
}
}
standardize(your_data_miss)
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