powered by
The rowSds and colSds respectively computes the standard deviations of each rows and columns of the given matrix.
rowSds
colSds
colSds(x)rowSds(x)
rowSds(x)
A numeric matrix of size n times m
n
m
colSds returns a numeric vector of length m.
rowSds returns a numeric vector of length n.
rowMeans, colMeans
rowMeans
colMeans
# NOT RUN { x <- matrix(rnorm(50), 10, 5) GMCM:::colSds(x) apply(x, 2, sd) # slower equivalent code y <- matrix(rnorm(50), 10, 5) GMCM:::rowSds(y) # }
Run the code above in your browser using DataLab