boxPlot: Box plots for inferred treatment effects of individuals from...

In teff-package/teff: Profiles and targets subpopulations with high Treatment EEFects

Box plots for inferred treatment effects of individuals from target

Description

Box plots for inferred treatment effects of individuals from target

Usage

boxPlot(
  x,
  labs = c("Treatment effect", "Outcome", "Treatment", "Not treated", "Treated"),
  lg = NULL,
  labeff = NULL
)

Arguments

x	object of class tarteff
labs	string of characters for the labels of the plot, it refers in order to labels to use for: Treatment effect, Outcome, Treatment, and levels of the treatment like: Treated and not Treated.
lg	position of the legend for treatment levels such as "topright"
labeff	string of characters for the labels of the treatment effect default NULL, 0: neutral and 1: positive or negative; or 0: neutral, -1: negative and 1: positive.

Value

A plot on the current graphics device#'

Examples

data(tcell)
homologous<- matrix(c("DDX3Y","DDX3X","KDM5D","KDM5C","PRKY","PRKX",
"RPS4Y1","RPS4X","TXLNGY", "TXLNG",
"USP9Y", "USP9X", "XIST", "XIST", "TSIX", "TSIX"), nrow=2)
pf <- predicteff(tcell, featuresinf=homologous, profile=TRUE)
res <- target(tcell, pf, effect="positiveandnegative",
featuresinf=homologous, nmcov="age", model="log2")
boxPlot(res, labs=c("Sexual dimorphism", "T cell count",
"Condition", "Male", "Female"),
lg="bottomleft")

teff-package/teff documentation built on March 20, 2022, 8:25 p.m.