Rfast2: colGroup – R documentation

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colGroup

Column-wise summary statistics with grouping variables

Column-wise summary statistics with grouping variables.

colGroup(x,ina,method="sum",names=TRUE, std = FALSE)

`x`	A matrix with data.
`ina`	A numerical vector specifying the groups. If you have numerical values, do not put zeros, but 1, 2, 3 and so on. The numbers must be consecutive, like 1,2,3,.. Do not put 1, 3, 4 as this will cause C++ to crash.
`method`	One of the: "sum", "min", "max", "median", "var".
`names`	Set the name of the result vector with the unique numbers of group variable.
`std`	A boolean variable specyfying whether you want the variances (FALSE) or the standard deviations (TRUE) of each column. This is taken into account only when method = "var".

Column wise of grouping variables. You can also include diagonal to the check.

Manos Papadakis

R implementation and documentation: Manos Papadakis <papadakm95@gmail.com>.

x <- matrix(runif(100 * 5), 100, 5)
group <- sample(1:3, 100, TRUE)

all.equal( colGroup(x, group), rowsum(x, group) )

A Collection of Efficient and Extremely Fast R Functions II

v0.0.9

GPL (>= 2.0)

Authors

Manos Papadakis, Michail Tsagris, Stefanos Fafalios and Marios Dimitriadis.

Initial release

2021-03-21