Description Usage Arguments Details Value Author(s) Examples

These two functions are fast C++ versions for column- and row-wise `var`

iance calculation on matrices/data.frames and are meant to substitute the classical `apply(mat, 1, var)`

approach.

1 2 |

`x` |
a matrix or data.frame |

They are coded in a way that they automatically remove `NA`

values, so they behave like `na.rm = TRUE`

.

A vector with the variance values.

Andrej-Nikolai Spiess

1 2 3 4 5 6 7 8 9 | ```
## Speed comparison on large matrix.
## ~ 110x speed increase!
## Not run:
MAT <- matrix(rnorm(10 * 500000), ncol = 10)
system.time(RES1 <- apply(MAT, 1, var))
system.time(RES2 <- rowVarsC(MAT))
all.equal(RES1, RES2)
## End(Not run)
``` |

propagate documentation built on May 7, 2018, 1:03 a.m.

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