plot_correlation: Correlation simplified creation

In Peccary-PMX/PeccAnalysis: Analyse PK/PD dataset

Correlation simplified creation

Description

Correlation simplified creation

Usage

plot_correlation(
  df,
  x,
  ...,
  ylog = T,
  xlog = F,
  add = "reg.line",
  cor.coef = T,
  cor.method = "spearman",
  conf.int = F,
  outputExpr = F,
  colwrap = NA,
  wrapscale = "free",
  caption = F
)

Arguments

df	name of the dataset to analyze
x	name of the X variable
...	names of the y variables (one per wrapped subplot)
ylog	y logarithmic scale
add	By default "reg.line", see ggpubr ("none"," "reg.line", "loess")
cor.coef	To display correlation coeficient or not
cor.method	Correlation method to use ("pearson", "spearman" or "kendall")
conf.int	Toggle or not confidence interval
outputExpr	display the R inependent code (T) or its evaluation (F)
colwrap	column to wrap, if "..." is of length one only
wrapscale	Scale for wrapping (ggplot syntax)
xlox	x logarithmic scale

Author(s)

Thibaud Derippe ([e-mail])

Peccary-PMX/PeccAnalysis documentation built on July 7, 2022, 5:27 a.m.