xMLcompare: Function to visualise cross-validation performance against...
In Pi: Leveraging Genetic Evidence to Prioritise Drug Targets at the Gene and Pathway Level

xMLcompare is supposed to visualise cross-validation performance against tuning parameters.

xMLcompare(
list_ML,
metric = c("ROC", "Sens", "Spec"),
xlab = NA,
xlimits = c(0.5, 1),
font.family = "sans"
)

`list_ML`	a list of class "train" or "train.formula" objects (resulting from caret::train)
`metric`	the performance metric to plot. It can be one of 'ROC', 'Sens' (Sensitivity) and 'Spec' (Specificity)
`xlab`	a title for the x axis
`xlimits`	the limit for the x axis
`font.family`	the font family for texts

an object of class "ggplot"

none

RData.location <- "http://galahad.well.ox.ac.uk/bigdata"
## Not run: 
gp <- xMLcompare(ls_ML, xlimits=c(0.5,1))

## End(Not run)

Pi documentation built on Nov. 26, 2020, 2:01 a.m.

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