Scatterplot Panel

Description

This function produces a bivariate scatterplot with the Pearson correlation. This is for use with the function panelplot.

Usage

panelCorr(data, ...)

Arguments

Author(s)

J.H. Maindonald

Examples

# correlation between body and brain weights for 20 mice:

weights <- litters[,-1]
names(weights) <-  c("x","y")
weights <- list(weights)
weights[[1]]$xlim <- range(litters[,2])
weights[[1]]$ylim <- range(litters[,3])
panelplot(weights, panelCorr, totrows=1, totcols=1)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(DAAG)
Loading required package: lattice
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/DAAG/panelCorr.Rd_%03d_medium.png", width=480, height=480)
> ### Name: panelCorr
> ### Title: Scatterplot Panel
> ### Aliases: panelCorr
> ### Keywords: models
> 
> ### ** Examples
> 
> 
> # correlation between body and brain weights for 20 mice:
> 
> weights <- litters[,-1]
> names(weights) <-  c("x","y")
> weights <- list(weights)
> weights[[1]]$xlim <- range(litters[,2])
> weights[[1]]$ylim <- range(litters[,3])
> panelplot(weights, panelCorr, totrows=1, totcols=1)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>