Description Usage Arguments Value Note Author(s) See Also Examples
Calculate trimmed and/or weighted means of groups of rows in a given data matrix.
1  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

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 ([email protected])
combineDatamethods
, mean
, weighted.mean
1 2 3 4 5 6 7 8 9 10  #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)

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