visualiseGroupsetweights: Visualise estimated group set weights

In ecpc: Flexible Co-Data Learning for High-Dimensional Prediction

Visualise estimated group set weights

Description

Plot group set weights from multiple cross-validation folds.

Usage

visualiseGroupsetweights(dfGrps, GroupsetNames, hist = FALSE, boxplot = TRUE, 
                          jitter = TRUE, ps = 1.5, width = 0.5)

Arguments

dfGrps	Data frame containing the following variables; 'Groupset': factor with group set names; 'Groupset.weight': group set weight of each group set; 'Fold': number indicating which fold in the cross-validation is used.
GroupsetNames	Vector with names of the group sets.
hist	Should histogram be plotted?
boxplot	Should boxplot be used or points?
jitter	Should group set weights be jittered?
ps	Point size.
width	Width of jitter.

Value

Plot in ggplot object.

See Also

visualiseGroupset to visualise group sets and visualiseGroupweights to plot estimated group weights.

Examples

dfGrps <- data.frame(Groupset=rep(c(1,2),each=10),
                     Groupset.weight=c(rnorm(10,0,0.01),rnorm(10,1,0.05)),
                     Fold=rep(1:10,2))
GroupsetNames <- c("Groupset1","Groupset2")
visualiseGroupsetweights(dfGrps, GroupsetNames, hist = FALSE, boxplot = TRUE,jitter=TRUE)

ecpc documentation built on March 7, 2023, 6:46 p.m.