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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
rowSEMs(dat)
matrix or data.frame
numeric vector with SEM values
rowSds, colSds, colSums
rowSds
colSds
colSums
# NOT RUN { set.seed(2016); dat1 <- matrix(c(runif(200)+rep(1:10,20)),ncol=10) head(rowSEMs(dat1)) # }
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