Row and columns sums/means.
# S4 method for float32 colSums(x, na.rm = FALSE, dims = 1)# S4 method for float32 rowSums(x, na.rm = FALSE, dims = 1)# S4 method for float32 colMeans(x, na.rm = FALSE, dims = 1)# S4 method for float32 rowMeans(x, na.rm = FALSE, dims = 1)
# S4 method for float32 rowSums(x, na.rm = FALSE, dims = 1)
# S4 method for float32 colMeans(x, na.rm = FALSE, dims = 1)
# S4 method for float32 rowMeans(x, na.rm = FALSE, dims = 1)
A float vector/matrix.
Should missing values be removed?
Ignored. Be honest, you've never even used this argument before, have you?
A matrix of the same type as the highest precision input.
# NOT RUN { library(float) s = flrunif(5, 3) rowSums(s) colSums(s) # }
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