byColNames.Subset: Extract subset of columns from a data frame or a list of data...
In IdMappingAnalysis: ID Mapping Analysis

Description Usage Arguments Value Author(s) See Also Examples

Extract subset of columns from a data frame or a list of data frames. This function outputs a data frame which set of columns is a product of merging according to mergeOp of the imput data frame column set with a given set of names (subset) ordred either by the original column set or by a a subset parameter according to orderBySubset flag. In case the merging operation produces the columns which are not in an original data frame, the new columns are filled with value from na.value parameter.

## Static method (use this):
## Subset$byColNames(frameData, subset, orderBySubset=TRUE, mergeOp=intersect, na.value="", verbose=FALSE, ...)

## Don't use the below:
## S3 method for class 'Subset'
byColNames(static, frameData, subset, orderBySubset=TRUE, mergeOp=intersect, na.value="", verbose=FALSE, ...)

`frameData`	Input `data.frame` or a list of data frames.
`subset`	`character` `vector` of names partially intersecting with given `data.frame` column names and defining the set on which merging is to be performed.
`orderBySubset`	Determines if the resulting data frame(s) columns will be ordered by subset (`TRUE`) or by the original column set (`FALSE`). Default is `TRUE`.
`mergeOp`	The merging operation to be performed on column names. Default in 'intersect'.
`na.value`	The value which should be used to field the empty columns in the output `data.frame` (s). Default is "".
`verbose`	If `TRUE` enables diagnostic messages. Default is `FALSE`.
`...`	Not used

A data.frame or list of data frames which column set is a product of column merging on a subset according to the mergeOp.

Alex Lisovich, Roger Day

For more information see Subset.

 commonSamples<-intersect(colnames(examples$msmsExperimentSet),
		colnames(examples$msmsExperimentSet));
 mrna.subset<-Subset$byColNames(examples$mrnaExperimentSet,
		commonSamples,orderBySubset=TRUE);
 mrna.subset[1:10,1:5];