Given a single baseline column compare each other row or column against this baseline. Internally this function uses compareDims() iteratively.

compareColsPairwise(cube, ...)

compareRowsPairwise(cube, ...)

compareDimsPairwise(cube, dim = c("cols", "rows"), baseline)

## Arguments

cube a cube to calculate the comparison on arguments passed from compareRowsPairwise() or compareColsPairwise() to compareDimsPairwise() (i.e. baseline) which dimension is being compared (rows or cols, only valid for compareDims()) a character, the column to use as a baseline to compare against all other columns

## Value

an array of z-score for the all the columns or rows compared to baseline. The baseline column is all 0s

## Details

Warning since there is more than one comparison being made against each baseline the z-scores, and especially the p-values derived from these z-scores should be interpreted with caution. Using standard p-value cutoffs will result in anti-conservative interpretations because of the multiple comparisons problem. Adjustments to p-value cut offs (e.g. Bonferonni correction) should be used when interpreting z-scores from the compare[Rows|Cols|Dims]Pairwise() family of functions.