combineData {HELP} | R Documentation |
Calculate trimmed and/or weighted means of groups of rows in a given data matrix.
combineData(x, y, w, ...)
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 x according to y . na.rm x and y and z . If FALSE any missing values cause an error.element AssayData to use for a given ExpressionSet input (default is "exprs") feature.group 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 AssayData to use for a given ExpressionSet input. If NULL (default), weighting is not performed. feature.weight 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 ... |
Returns a matrix of combined numerical data, where each row represents the summary of a group of elements from the corresponding column in x.
Each column in data matrix treated separately.
Reid F. Thompson (rthompso@aecom.yu.edu)
combineData-methods
, mean
, weighted.mean
#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)