sco.quant {ade4}R Documentation

Graph to Analyse the Relation between a Score and Quantitative Variables

Description

represents the graphs to analyse the relation between a score and quantitative variables.

Usage

sco.quant (score, df, fac = NULL, clabel = 1, abline = FALSE, 
    sub = names(df), csub = 2, possub = "topleft") 

Arguments

score a numeric vector
df a data frame which rows equal to the score length
fac a factor with the same length than the score
clabel character size for the class labels (if any) used with par("cex")*clabel
abline a logical value indicating whether a regression line should be added
sub a vector of strings of characters for the labels of variables
csub a character size for the legend, used with par("cex")*csub
possub a string of characters indicating the sub-title position ("topleft", "topright", "bottomleft", "bottomright")

Author(s)

Daniel Chessel

Examples

w <- runif(100, -5, 10)
fw <- cut (w, 5)
levels(fw) <- LETTERS[1:5]
wX <- data.frame(matrix(w + rnorm(900, sd = (1:900) / 100), 100, 9))
sco.quant(w, wX, fac = fw, abline = TRUE, clab = 2, csub = 3)

Worked out examples


> library(ade4)
> ### Name: sco.quant
> ### Title: Graph to Analyse the Relation between a Score and Quantitative
> ###   Variables
> ### Aliases: sco.quant
> ### Keywords: hplot multivariate
> 
> ### ** Examples
> 
> w <- runif(100, -5, 10)
> fw <- cut (w, 5)
> levels(fw) <- LETTERS[1:5]
> wX <- data.frame(matrix(w + rnorm(900, sd = (1:900) / 100), 100, 9))
> sco.quant(w, wX, fac = fw, abline = TRUE, clab = 2, csub = 3)
> 
> 
> 
> 

[Package ade4 Index]