xMLdotplot: Function to visualise machine learning results using dot plot

In Pi: Leveraging Genetic Evidence to Prioritise Drug Targets at the Gene and Pathway Level

Description

xMLdotplot is supposed to visualise machine learning results using dot plot. It returns an object of class "ggplot".

Usage

xMLdotplot(
sTarget,
displayBy = c("importance2fold", "roc2fold", "fmax2fold",
"importance_accurancy",
"importance_gini", "ROC", "Fmax"),
ML.included = TRUE,
font.family = "sans",
signature = TRUE
)

Arguments

sTarget	an object of class "sTarget"
displayBy	which statistics will be used for displaying. It can be either statistics across folds ("importance2fold" for predictor importance, "roc2fold" for AUC in ROC, "fmax2fold" for F-max in Precision-Recall curve) or overall statistics ("importance_accurancy" for predictor importance measured by accuracy decrease, "importance_gini" for predictor importance measured by Gini decrease, "ROC" for AUC in ROC, "Fmax" for F-max in Precision-Recall curve)
ML.included	logical to indicate whether to use ML results
font.family	the font family for texts
signature	logical to indicate whether the signature is assigned to the plot caption. By default, it sets TRUE showing which function is used to draw this graph

Value

an object of class "ggplot"

Note

none

See Also

xMLdotplot

Examples

RData.location <- "http://galahad.well.ox.ac.uk/bigdata"
## Not run: 
gp <- xMLdotplot(sTarget, displayBy="importance_accurancy")
gp

## End(Not run)

Pi documentation built on Nov. 29, 2021, 3 p.m.