These functions extend the respective base functions by (optionally) preserving the shape of the array (i.e. the summed dimensions have length 1).

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## S4 method for signature 'matrix'
colSums(x, na.rm = FALSE, dims = 1L, drop = TRUE)
colSums.AsIs(x, ...)
## S4 method for signature 'array'
colSums(x, na.rm = FALSE, dims = 1L, drop = TRUE)
## S4 method for signature 'matrix'
colMeans(x, na.rm = FALSE, dims = 1L, drop = TRUE)
colMeans.AsIs(x, ...)
## S4 method for signature 'array'
colMeans(x, na.rm = FALSE, dims = 1L, drop = TRUE)
## S4 method for signature 'matrix'
rowSums(x, na.rm = FALSE, dims = 1L, drop = TRUE)
rowSums.AsIs(x, ...)
## S4 method for signature 'array'
rowSums(x, na.rm = FALSE, dims = 1L, drop = TRUE)
## S4 method for signature 'matrix'
rowMeans(x, na.rm = FALSE, dims = 1L, drop = TRUE)
rowMeans.AsIs(x, ...)
## S4 method for signature 'array'
rowMeans(x, na.rm = FALSE, dims = 1L, drop = TRUE)
``` |

`x` |
an array of two or more dimensions, containing numeric, complex, integer or logical values, or a numeric data frame. |

`na.rm` |
logical indicating treatment of missing values |

`dims` |
integer: Which dimensions are regarded as ‘rows’ or ‘columns’ to sum
over. For |

`drop` |
If |

`...` |
the |

like `colSums`

if `drop = TRUE`

, otherwise an array where the
summed dimensions have length 1.

Claudia Beleites

`colSums`

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