# rowMedians

0th

Percentile

##### 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
x
A numeric NxK matrix.
na.rm
If TRUE, NAs are excluded first, otherwise not.
...
Not use.
##### Details

The implementation of rowMedians() is optimized for both speed and memory. To avoid coercing to doubles (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

Returns a numeric vector of length N.

##### Missing values

Missing values are excluded before calculating the medians.

See rowMeans() in colSums().

##### Aliases
• rowMedians
• rowMedians,matrix-method
• rowMedians,ExpressionSet-method
##### 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

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