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")

### 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)

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