Operations between two matrices or matrix and vector {Rfast}

Operations between two matrices or matrix and vector

Description

Operations between two matrices or matrix and vector.

Usage

XopY.sum(x, y = NULL, oper = "*")
eachrow(x,y,oper = "*",method = NULL)
eachcol.apply(x,y,indices = NULL,oper = "*",apply = "sum", parallel = FALSE)

Arguments

x

A numerical matrix.

y

A second numerical matrix for "XopY.sum" whose dimensions must match the ones of x, or vector for "eachrow","eachcol.apply" whose length must match with the rows of x.

oper

The operation to be performed, either "*", "/", "+", "-" or "==".

method

A character value for choosing option to apply in the result. Options: 1) sum 2) max 3) min

Does not work for oper="==".

indices

An integer vector with indices to specific columns. Only for "eachcol.apply".

apply

A character value with the function to be applied in the columns of the matrix. Only for "eachcol.apply". Options: 1) sum 2) median 3) max 4) min

parallel

A boolean value for parallel version.

Details

XopY.sum: sum(X op Y) where op can be on of "+,-,*,/".

eachrow: X op Y by row or FUNCTION(X op Y) where "x" is matrix, "y" is vector with length as much an the columns of x and "op" is one of "+,-,*,/,==", and "FUNCTION" is a specific method for applying in the result matrix (see argument method).

eachcol.apply: FUNCTION(X op Y) by column where "x" is matrix, "y" is vector with length as much an the rows of x, "op" is one of "+,-,*,/" and "FUNCTION" is a specific method (see argument apply).

NOTE: Arguments "method" does not work for oper="==" and this operation works only in "eachrow".

Value

XopY.sum: sum(X op Y) where "op" can be on of "+,-,*,/".

eachrow: operation by row between a matrix and a vector."op" can be on of "+,-,*,/". If "suma=TRUE" then returns the sum of this operation.

eachcol.apply: operation by column between a matrix and a vector and applied a specific function."op" can be on of "+,-,*,/".

Author(s)

Manos Papadakis

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

See Also

Dist, dista, colmeans, Diag.fill, colMads, rowMads

Examples

x <- matrix( rnorm(5 * 5), ncol = 5 )
y <- matrix( rnorm(5 * 5), ncol = 5 )
res<-XopY.sum(x, y, oper = "*")
y <- x[,1]
res<-eachrow(x,y)

all.equal(eachcol.apply(x,y),colsums(x*y))


x<-y<-NULL