sco.boxplot {ade4}R Documentation

Representation of the link between a variable and a set of qualitative variables

Description

represents the link between a variable and a set of qualitative variables.

Usage

sco.boxplot(score, df, labels = names(df), clabel = 1, xlim = NULL, 
    grid = TRUE, cgrid = 0.75, include.origin = TRUE, origin = 0, 
    sub = NULL, csub = 1)

Arguments

score a numeric vector
df a data frame with only factors
labels a vector of strings of characters for the labels of variables
clabel if not NULL, a character size for the labels, used with par("cex")*clabel
xlim the ranges to be encompassed by the x axis, if NULL they are computed
grid a logical value indicating whether the scale vertical lines should be drawn
cgrid a character size, parameter used with par("cex")*cgrid to indicate the mesh of the scale
include.origin a logical value indicating whether the point "origin" should be belonged to the graph space
origin the fixed point in the graph space, for example 0 the origin axis
sub a string of characters to be inserted as legend
csub a character size for the legend, used with par("cex")*csub

Author(s)

Daniel Chessel

Examples

w1 <- rnorm(100,-1)
w2 <- rnorm(100)
w3 <- rnorm(100,1)
f1 <- gl(3,100)
f2 <- gl(30,10)
sco.boxplot(c(w1,w2,w3), data.frame(f1,f2))

data(banque)
banque.acm <- dudi.acm(banque, scan = FALSE, nf = 4)
par(mfrow = c(1,3))
sco.boxplot(banque.acm$l1[,1], banque[,1:7], clab = 1.8)
sco.boxplot(banque.acm$l1[,1], banque[,8:14], clab = 1.8)
sco.boxplot(banque.acm$l1[,1], banque[,15:21], clab = 1.8)
par(mfrow = c(1,1))

Worked out examples


> library(ade4)
> ### Name: sco.boxplot
> ### Title: Representation of the link between a variable and a set of
> ###   qualitative variables
> ### Aliases: sco.boxplot
> ### Keywords: multivariate hplot
> 
> ### ** Examples
> 
> w1 <- rnorm(100,-1)
> w2 <- rnorm(100)
> w3 <- rnorm(100,1)
> f1 <- gl(3,100)
> f2 <- gl(30,10)
> sco.boxplot(c(w1,w2,w3), data.frame(f1,f2))
> 
> data(banque)
> banque.acm <- dudi.acm(banque, scan = FALSE, nf = 4)
> par(mfrow = c(1,3))
> sco.boxplot(banque.acm$l1[,1], banque[,1:7], clab = 1.8)
> sco.boxplot(banque.acm$l1[,1], banque[,8:14], clab = 1.8)
> sco.boxplot(banque.acm$l1[,1], banque[,15:21], clab = 1.8)
> par(mfrow = c(1,1))
> 
> 
> 
> 

[Package ade4 Index]