Graph to Analyse the Relation between a Score and Quantitative Variables

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

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)