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rowSEMs
speed optimized SEM (standard error of the mean) for each row.
The function takes a matrix or data.frame and treats each row as set of data for SEM; NAs are ignored from data.
Note: NaN instances will be transformed to NA
rowSEMs(dat)
matrix or data.frame
numeric vector with SEM values
# NOT RUN {
set.seed(2016); dat1 <- matrix(c(runif(200)+rep(1:10,20)),ncol=10)
head(rowSEMs(dat1))
# }
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