This function orders the differences in correlations between conditions by the median strength of correlation differences for each gene and plots a heatmap of the correlations in each condition (lower = condition A, upper = condition B) using the heatmap.2 function from the gplots package.
ddplot(dcObject = NULL, corMatA = NULL, corMatB = NULL, zDiff = NULL,
flip = TRUE, color_palette = NULL, customize_heatmap = FALSE,
heatmapClassic = FALSE, corPower = 2, ...)The sorted difference in z-score matrix in both conditions, which you can use to create your own plot if you'd prefer.
A differential correlation object from which correlation and differential correlation matrices will be extracted. Optional; can also input the correlation matrices and differential correlation matrix individually.
Optional, correlation matrix from condition A. Will be plotted in the lower left triangle.
Optional, correlation matrix from condition B. Will be plotted in the upper right triangle.
Optional, difference measure of correlations between conditions A and B.
Switch the ordering of z-differences to be inverse. Default = TRUE
Colors for plotting the heatmap. If not specified, defaults to a color-blind palette where blue corresponds to a negative correlation and orange/red corresponds to a positive one.
Option to remove some default options in the heatmap plot, to allow users to add custom options.
Option to make the heatmap more granular (e.g., not showing the individual gene symbols) and more of a "classic" type of heatmap. Overrides most other heatmap options.
The power to raise the correlations to before plotting the classic heatmap. Larger correlation powers emphasize larger correlation values relatively more compared to smaller correlation values.
Additional plotting arguments to the heatmap.2 function.