R Graphical Manual

Last data update: 2014.03.03

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Results 1 - 10 of 11 found.
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colSumamrize (Package: preprocessCore) : Summarize the column of matrices

Compute column wise summary values of a matrix.

● Data Source: BioConductor
● Keywords: univar
● Alias: colSummarizeAvg, colSummarizeAvgLog, colSummarizeBiweight, colSummarizeBiweightLog, colSummarizeLogAvg, colSummarizeLogMedian, colSummarizeMedian, colSummarizeMedianLog, colSummarizeMedianpolish, colSummarizeMedianpolishLog
● 0 images

normalize.quantiles (Package: preprocessCore) : Quantile Normalization

Using a normalization based upon quantiles, this function normalizes a matrix of probe level intensities.

● Data Source: BioConductor
● Keywords: manip
● Alias: normalize.quantiles
● 0 images

normalize.quantiles.in.blocks (Package: preprocessCore) : Quantile Normalization carried out separately within blocks of rows

Using a normalization based upon quantiles this function normalizes the columns of a matrix such that different subsets of rows get normalized together.

● Data Source: BioConductor
● Keywords: manip
● Alias: normalize.quantiles.in.blocks
● 1 images

normalize.quantiles.robust (Package: preprocessCore) : Robust Quantile Normalization

Using a normalization based upon quantiles, this function normalizes a matrix of probe level intensities. Allows weighting of chips

● Data Source: BioConductor
● Keywords: manip
● Alias: normalize.AffyBatch.quantiles.robust, normalize.quantiles.robust
● 0 images

normalize.quantiles.target (Package: preprocessCore) : Quantile Normalization using a specified target distribution vector

Using a normalization based upon quantiles, these function normalizes the columns of a matrix based upon a specified normalization distribution

● Data Source: BioConductor
● Keywords: manip
● Alias: normalize.quantiles.determine.target, normalize.quantiles.use.target
● 0 images

rcModelPLMd (Package: preprocessCore) : Fit robust row-column models to a matrix

These functions fit row-column effect models to matrices using PLM-d

● Data Source: BioConductor
● Keywords: models
● Alias: rcModelPLMd
● 1 images

rcModelPLMr (Package: preprocessCore) : Fit robust row-column models to a matrix

These functions fit row-column effect models to matrices using PLM-r and variants

● Data Source: BioConductor
● Keywords: models
● Alias: rcModelPLMr, rcModelPLMrc, rcModelPLMrr, rcModelWPLMr, rcModelWPLMrc, rcModelWPLMrr
● 4 images

rcModels (Package: preprocessCore) : Fit row-column model to a matrix

These functions fit row-column effect models to matrices

● Data Source: BioConductor
● Keywords: models
● Alias: rcModelMedianPolish, rcModelPLM, rcModelWPLM
● 0 images

rma.background.correct (Package: preprocessCore) : RMA Background Correction

Background correct each column of a matrix

● Data Source: BioConductor
● Keywords: manip
● Alias: rma.background.correct
● 0 images

subColSummarize (Package: preprocessCore) : Summarize columns when divided into groups of rows

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

● Data Source: BioConductor
● Keywords: univar
● Alias: convert.group.labels, subColSummarizeAvg, subColSummarizeAvgLog, subColSummarizeBiweight, subColSummarizeBiweightLog, subColSummarizeLogAvg, subColSummarizeLogMedian, subColSummarizeMedian, subColSummarizeMedianLog, subColSummarizeMedianpolish, subColSummarizeMedianpolishLog
● 0 images