madness objects.colSums(x, na.rm = FALSE, dims = 1, ...)## S3 method for class 'madness':
colSums(x, na.rm = FALSE, dims = 1)
colMeans(x, na.rm = FALSE, dims = 1, ...)
## S3 method for class 'madness':
colMeans(x, na.rm = FALSE, dims = 1)
rowSums(x, na.rm = FALSE, dims = 1, ...)
## S3 method for class 'madness':
rowSums(x, na.rm = FALSE, dims = 1)
rowMeans(x, na.rm = FALSE, dims = 1, ...)
## S3 method for class 'madness':
rowMeans(x, na.rm = FALSE, dims = 1)
madness object.NaN)
be omitted from the calculations?row*, the sum or mean is
over dimensions dims+1, ...; for col* it is over
dimensions 1:dmadness object. Note that the sums are flattened to a
column vector.