xMLdensity: Function to visualise machine learning results using density...

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

Description

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

Usage

xMLdensity(
xTarget,
displayBy = c("All", "GS", "GSN", "GSP", "NEW"),
x.scale = c("sqrt", "normal"),
font.family = "sans",
signature = TRUE
)

Arguments

xTarget	an object of class "xTarget" or "dTarget" (with the component 'pPerf')
displayBy	which targets will be used for displaying. It can be one of "GS" for gold standard targets, "GSN" for gold standard negatives, "GSP" for gold standard positives, "NEW" for putative/new targets (non-GS), "All" for all targets (by default)
x.scale	how to transform the x scale. It can be "normal" for no transformation, and "sqrt" for square root transformation (by default)
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

xColormap

Examples

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

## End(Not run)

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