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.

na.rm

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.

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
#> 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
#> col1 col2 col3 col4 col5 #> 105 81 85 71 74