sco.quant: Graph to Analyse the Relation between a Score and...

sco.quantR 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)

ade4 documentation built on Nov. 2, 2022, 1:07 a.m.

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