subColSummarize: Summarize columns when divided into groups of rows

Description Usage Arguments Details Value Author(s) Examples

Description

These functions summarize columns of a matrix when the rows of the matrix are classified into different groups

Usage

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subColSummarizeAvg(y, group.labels)
       subColSummarizeAvgLog(y, group.labels)
       subColSummarizeBiweight(y, group.labels)
       subColSummarizeBiweightLog(y, group.labels)
       subColSummarizeLogAvg(y, group.labels)
       subColSummarizeLogMedian(y, group.labels)
       subColSummarizeMedian(y, group.labels)
       subColSummarizeMedianLog(y, group.labels)
       subColSummarizeMedianpolish(y, group.labels)
       subColSummarizeMedianpolishLog(y, group.labels)
       convert.group.labels(group.labels)

Arguments

y

A numeric matrix

group.labels

A vector to be treated as a factor variable. This is used to assign each row to a group. NA values should be used to exclude rows from consideration

Details

These functions are designed to summarize the columns of a matrix where the rows of the matrix are assigned to groups. The summarization is by column across all rows in each group.

Value

A matrix containing column summarized data. Each row corresponds to data column summarized over a group of rows.

Author(s)

B. M. Bolstad <[email protected]>

Examples

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### Assign the first 10 rows to one group and
### the second 10 rows to the second group
###
y <- matrix(c(10+rnorm(50),20+rnorm(50)),20,5,byrow=TRUE)

subColSummarizeAvgLog(y,c(rep(1,10),rep(2,10)))
subColSummarizeLogAvg(y,c(rep(1,10),rep(2,10)))
subColSummarizeAvg(y,c(rep(1,10),rep(2,10)))

subColSummarizeBiweight(y,c(rep(1,10),rep(2,10)))
subColSummarizeBiweightLog(y,c(rep(1,10),rep(2,10)))

subColSummarizeMedianLog(y,c(rep(1,10),rep(2,10)))
subColSummarizeLogMedian(y,c(rep(1,10),rep(2,10)))
subColSummarizeMedian(y,c(rep(1,10),rep(2,10)))



subColSummarizeMedianpolishLog(y,c(rep(1,10),rep(2,10)))
subColSummarizeMedianpolish(y,c(rep(1,10),rep(2,10)))

preprocessCore documentation built on Nov. 1, 2018, 2:25 a.m.