combineData {HELP} | R Documentation |
Combine data
Description
Calculate trimmed and/or weighted means of groups of rows in a given data matrix.
Usage
combineData(x, y, w, ...)
Arguments
x |
a numeric matrix containing the values whose trimmed and/or weighted mean is to be computed. Each column is treated independently.
|
y |
a vector describing the discrete groups used to divide the elements of x. If y is missing then all elements of x are handled together.
|
w |
a matrix of weights the same dimensions as x giving the weights to use for each element of x. If w is missing then all elements of x are given the same weight.
|
... |
Arguments to be passed to methods (see combineData-methods ):
- trim
the fraction (0 to 0.5, default is 0) of observations to be trimmed from each group of rows in x according to y .
- na.rm
logical; if TRUE, missing values are removed from x and y and z . If FALSE any missing values cause an error.
- element
which element of AssayData to use for a given ExpressionSet input (default is "exprs")
- feature.group
which element of featureData to use as binning variable (default is NULL ). Can be a character matching varLabel or simply an integer indicating which feature to choose. See getFeatures .
- element.weight
which element of AssayData to use for a given ExpressionSet input. If NULL (default), weighting is not performed.
- feature.weight
which element of featureData to use as weighting variable (default is NULL ). Can be a character matching varLabel or simply an integer indicating which feature to choose. See getFeatures .
- samples
which samples to use as data. Can be a vector of characters matching sample names, integers indicating which samples to choose, or a mixture of the two. If NULL (default), all samples will be used.
- \dots
other arguments not handled at this time.
|
Value
Returns a matrix of combined numerical data, where each row represents the summary of a group of elements from the corresponding column in x.
Note
Each column in data matrix treated separately.
Author(s)
Reid F. Thompson (rthompso@aecom.yu.edu)
See Also
combineData-methods
, mean
, weighted.mean
Examples
#demo(pipeline,package="HELP")
x <- 1:100
combineData(x,w=x/100)
weighted.mean(x,w=x/100)
y <- sample(c("a","b","c",1:3),size=100,replace=TRUE)
combineData(cbind(x,x,2*x),y,trim=0.5)
#rm(x,y)
[Package
HELP version 1.51.0
Index]