column.summary: Columns statistics.
In imminfo/tcr: Advanced Data Analysis of Immune Receptor Repertoires

Description Usage Arguments Value See Also Examples

column.summary - general function for computing summary statistics (using the summary function) for columns of the given mitcr data.frame: divide .factor.column by factors from .alphabet and compute statistics of correspondingly divided .target.column.

insertion.stats - compute statistics of insertions for the given mitcr data.frame.

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column.summary(.data, .factor.col, .target.col, .alphabet = NA, .remove.neg = T)

insertion.stats(.data)

`.data`	Data frame with columns `.factor.col` and `target.col`
`.factor.col`	Columns with factors by which the data will be divided to subsets.
`.target.col`	Column with numeric values for computing summaries after dividing the data to subsets.
`.alphabet`	Character vector of factor levels. If NA than use all possible elements frim the `.factor.col` column.
`.remove.neg`	Remove all elements which >-1 from the `.target.col` column.

Data.frame with first column with levels of factors and 5 columns with output from the summary function.

summary

## Not run: 
# Compute summary statistics of VD insertions
# for each V-segment using all V-segments in the given data frame.
column.summary(immdata[[1]], 'V.gene', 'Total.insertions')
# Compute summary statistics of VD insertions for each V-segment using only V-segments
# from the HUMAN_TRBV_MITCR
column.summary(immdata[[1]], 'V.gene', 'Total.insertions', HUMAN_TRBV_MITCR)

## End(Not run)