colMins: Column-wise minimum and maximum of a matrix

In Rfast: A Collection of Efficient and Extremely Fast R Functions

Column-wise minimum and maximum of a matrix

Description

Column-wise minimum and maximum of a matrix.

Usage

colMins(x, value = FALSE, parallel = FALSE, cores = 0)
colMaxs(x, value = FALSE, parallel = FALSE, cores = 0)
colMinsMaxs(x, parallel = FALSE, cores = 0)

Arguments

x	A numerical matrix or data.frame with data.
value	If the value is FALSE it returns the indices of the minimum/maximum, otherwise it returns the minimum and maximum values.
parallel	Do you want to do it in parallel in C++? TRUE or FALSE. The parallel will return the minimum/maximum value only. It will never return the indices.
cores	Number of cores to use for parallelism. Valid only when argument parallel is set to TRUE. Default value is 0 and it means the maximum supported cores.

Value

A vector with the relevant values.

Author(s)

Manos Papadakis

R implementation and documentation: Manos Papadakis <[e-mail]>.

See Also

rowMins, rowMaxs, nth, colrange, colMedians, colVars, colSort, rowSort

Examples

x <- matrix( rnorm(100 * 200), ncol = 200 )

s1 <- colMins(x) 
s2 <- apply(x, 2, min) 

s1 <- colMaxs(x) 
s2 <- apply(x, 2, max) 

s1 <- colMinsMaxs(x)
s2 <- c(apply(x, 2, min), apply(x, 2, max)) 

x<-s1<-s2<-NULL

Rfast documentation built on Nov. 9, 2023, 5:06 p.m.