# rowMedians

##### Calculates the median for each row in a matrix

Calculates the median for each row in a matrix.

- Keywords
- manip

##### Usage

`rowMedians(x, na.rm=FALSE, ...)`

##### Arguments

##### Details

The implementation of `rowMedians()`

is optimized for both speed and memory.
To avoid coercing to `double`

s (and hence memory
allocation), there is a special implementation for
`integer`

matrices. That is, if `x`

is an
`integer`

`matrix`

, then
`rowMedians(as.double(x))`

would require three times the memory
of `rowMedians(x)`

, but all this is avoided.

##### Value

##### Missing values

Missing values are excluded before calculating the medians.

##### See Also

See `rowMeans()`

in `colSums`

().

##### Examples

```
set.seed(1)
x <- rnorm(n=234*543)
x[sample(1:length(x), size=0.1*length(x))] <- NA
dim(x) <- c(234,543)
y1 <- rowMedians(x, na.rm=TRUE)
y2 <- apply(x, MARGIN=1, FUN=median, na.rm=TRUE)
stopifnot(all.equal(y1, y2))
x <- cbind(x1=3, x2=c(4:1, 2:5))
stopifnot(all.equal(rowMeans(x), rowMedians(x)))
```

*Documentation reproduced from package Biobase, version 2.26.0, License: Artistic-2.0*

### Community examples

Looks like there are no examples yet.