Description Usage Arguments Details Value Author(s) Examples
These functions summarize columns of a matrix when the rows of the matrix are classified into different groups
1 2 3 4 5 6 7 8 9 10 11 | 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)
|
y |
A numeric |
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 |
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.
subColSummarizeAvgSummarize by taking mean
subColSummarizeAvgLoglog2
transform the data and
then take means in column-wise manner
subColSummarizeBiweightUse a one-step Tukey Biweight to summarize columns
subColSummarizeBiweightLoglog2
transform the data and
then use a one-step Tukey Biweight to
summarize columns
subColSummarizeLogAvgSummarize by taking mean and then
taking log2
subColSummarizeLogMedianSummarize by taking median and then
taking log2
subColSummarizeMedianSummarize by taking median
subColSummarizeMedianLoglog2
transform the data and
then summarize by taking median
subColSummarizeMedianpolishUse the median polish to summarize each column, by also using a row effect (not returned)
subColSummarizeMedianpolishLoglog2
transform the
data and then use the median polish to summarize each column, by
also using a row effect (not returned)
A matrix
containing column summarized data. Each row
corresponds to data column summarized over a group of rows.
B. M. Bolstad <bmb@bmbolstad.com>
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | ### 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)))
|
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