plot_contrast_results {mistyR} | R Documentation |
Plot interexperiment contrast of views.
plot_contrast_results( misty.results.from, misty.results.to, views = NULL, cutoff.from = 1, cutoff.to = 1, trim = -Inf, trim.measure = c("gain.R2", "multi.R2", "intra.R2", "gain.RMSE", "multi.RMSE", "intra.RMSE") )
misty.results.from, misty.results.to |
a results list generated by
|
views |
one or more abbreviated names of views. |
cutoff.from, cutoff.to |
importance thresholds respective to the result lists. |
trim |
display targets with performance value above (if R2 or gain) or below (otherwise) this value only. |
trim.measure |
the measure used for trimming. |
The heatmaps show the interactions that are present and have importance above
a cutoff.to
value in the views
of misty.results.to
but
not present or have importance below cutoff.from
in the views
of misty.results.from
.
The misty.results.from
list (invisibly).
collect_results()
to generate a
results list from raw results.
Other plotting functions:
plot_contrast_heatmap()
,
plot_improvement_stats()
,
plot_interaction_communities()
,
plot_interaction_heatmap()
,
plot_view_contributions()
# if for example the available samples come from different grades of tumors grade1.results <- collect_results(c("results/synthetic1", "results/synthetic2")) grade3.results <- collect_results("results/synthetic10") # highlight interactions present in grade 1 tumors but not in grade 3 tumors # in the paraview grade3.results %>% plot_contrast_results(grade1.results, views = "para.10") # see the loss of interactions in all views with lower sensitivity plot_contrast_results(grade3.results, grade1.results, cutoff.from = 0.75, cutoff.to = 0.5)