Computes statistics over DataMatrix margins.

# S4 method for DataMatrix
rowMeans(x, na.rm = FALSE)

# S4 method for DataMatrix
colMeans(x, na.rm = FALSE)

# S4 method for DataMatrix
rowSums(x, na.rm = FALSE)

# S4 method for DataMatrix
colSums(x, na.rm = FALSE)

## Arguments

x A DataMatrix object. A logical scalar: should missing values (including NaN) be omitted from the calculations?

## Details

rowMeans and colMeans

Form row and column means.

rowSums and colSums

Form row and column sums.

N. Frerebeau

## Examples

## Create count data matrix
A <- CountMatrix(data = sample(0:10, 100, TRUE), nrow = 20, ncol = 5)

## Row and column means
rowMeans(A)#>  row1  row2  row3  row4  row5  row6  row7  row8  row9 row10 row11 row12 row13
#>   4.6   5.2   3.4   2.2   3.0   1.6   4.6   6.4   3.8   7.2   4.0   3.2   5.6
#> row14 row15 row16 row17 row18 row19 row20
#>   3.6   5.4   2.0   5.4   4.6   5.2   2.2 colMeans(A)#> col1 col2 col3 col4 col5
#> 5.25 4.05 4.25 3.55 3.70
## Row and column sums
rowSums(A)#>  row1  row2  row3  row4  row5  row6  row7  row8  row9 row10 row11 row12 row13
#>    23    26    17    11    15     8    23    32    19    36    20    16    28
#> row14 row15 row16 row17 row18 row19 row20
#>    18    27    10    27    23    26    11 colSums(A)#> col1 col2 col3 col4 col5
#>  105   81   85   71   74