pgirmess (version 1.6.9)

pairsrp: Produces a matrix of scatterplot, regression coefficient and p(Ho)

Description

Produces a matrix with scatterplot, regression line and a loess smooth in the upper right panel; correlation coefficient (Pearson, Spearman or Kendall) and the probability of Ho in the lower left panel

Usage

pairsrp(dataframe, meth = "spearman", pansmo = FALSE, abv = FALSE, lwt.cex = NULL, ...)

Arguments

dataframe

a data.frame of numeric values

meth

a character string indicating which correlation coefficient is to be computed. One of 'pearson', 'kendall', or 'spearman'(default). Can be abbreviated.

pansmo

True if a loess smooth is to be plotted. Default to False.

abv

True if the variable names must be abbreviates. Default to False.

lwt.cex

character size expansion in the lower panel.

…

graphical parameters can be given as arguments to 'plot'.

Details

This function is a wrapper for pairs() and cor()

See Also

pairs

Examples

# NOT RUN {
data(iris)
pairsrp(iris[,1:4],meth="pears",pansmo=TRUE,abv=TRUE)
 
# }