The w4mclassfilter R package provides the computational back-end of a Galaxy tool to complement Workflow4Metabolomics (W4M).
This package (and the corresponding Galaxy tool) perform several steps,
either to reduce the number samples or features to be analyzed,
or to address several data issues that may impede downstream statistical analysis:
- Samples that are missing from either
sampleMetadata
ordataMatrix
are eliminated. - Samples may also be eliminated by a "sample class" column in
sampleMetadata
. - Features that are missing from either
variableMetadata
ordataMatrix
are eliminated. - Features may be eliminated by specifying minimum or maximum value (or both) allowable in columns of
variableMetadata
. - Features may be eliminated by specifying minimum or maximum intensity (or both) allowable in columns of
dataMatrix
for at least one sample for each feature ("range of row-maximum for each feature"). - Missing values in
dataMatrix
are imputed either to zero (by default) or to the result of a user-supplied imputation function. - Features and samples that have zero variance are eliminated.
- Samples and features have consistent order in
variableMetadata
,sampleMetadata
, anddataMatrix
.- The column(s) for sorting
variableMetadata
orsampleMetadata
may be specified or defaults to the first column.
- The column(s) for sorting
- By default, the names of the first columns of
variableMetadata
andsampleMetadata
are set respectively to"variableMetadata"
and"sampleMetadata"
- An advanced option enables producing a "center" for each treatment in lieu of the samples for each treatment.
Changes in version 0.98.19
SIGNIFICANT USER-VISIBLE CHANGES
- Bug fix #9 - "medoid computation aborts when trt is numeric or some trts have one replicate"
INTERNAL CHANGES
- Built with R 4.0.3 (2020-10-10) "Bunny-Wunnies Freak Out"
- Built with the command
R CMD build w4mclassfilter
to assure that vignettes are built as intended.
HASH
- sha256sum of w4mclassfilter_0.98.19.tar.gz - 64a0dca07a3daea4f193355d4a69c568a0f7bf8358445849e269ecd1b3efed48