plot.xy.ab.p: An x/y scatterplot with a linear regression line and p-value

In caroline: A Collection of Database, Data Structure, Visualization, and Utility Functions for R

An x/y scatterplot with a linear regression line and p-value

Description

This function performs a simple scatter plot but also superimposses a linear regression trend (abline) and optionally also the p-value of this line

Usage

## S3 method for class 'xy.ab.p'
plot(x, x.var, y.var, 
fit.line=TRUE, p.value=TRUE, slope=TRUE, p.col=c('red','gray','green'), 
               plot.labels=TRUE, verbose=TRUE, xlab=x.var, ylab=y.var, ...)

Arguments

x	a data frame
x.var	the name of the x variable in df
y.var	the name of the y variable in df
fit.line	should a fit (ab) line be drawn?
p.value	should the p-value be printed on the plot?
slope	should the slope be printed on the plot?
p.col	should the plot be labeled?
plot.labels	should all of thie model fit information be printed out?
verbose	should all other information be printed out too?
xlab	label for x-axis
ylab	label for y-axis
...	other parameters passed to 'plot'

Value

An x/y scatterplot with regression line

Examples

par(mfrow=c(6,5), mar=c(2,2,0,0), mgp=c(-1,.5,0))

eg.df <- expand.grid(names(swiss), names(swiss))
for(i in 1:nrow(eg.df)){
  print(i)
  xv <- as.character(eg.df[i,1]); print(xv)
  yv <- as.character(eg.df[i,2]); print(yv)
  if(yv != xv)
    plot.xy.ab.p(x=swiss, x.var=xv, y.var=yv, p.value=FALSE, slope=FALSE) 
}

caroline documentation built on Oct. 21, 2024, 9:06 a.m.