s1d.class: 1-D plot of a numeric score partitioned in classes (levels of a factor)

Description

This function represents the link between scores values and their matching labeled classes.

Usage

s1d.class(score, fac, wt = rep(1, NROW(fac)), labels = levels(fac), at = 0.5, 
  poslabel = c("regular", "value"), col = NULL, facets = NULL, plot = TRUE, 
  storeData = TRUE, add = FALSE, pos = -1, ...)

Arguments

score

a numeric vector (or a data frame) used to produce the plot

fac

a factor (or a matrix of factors) to split score

a vector of weights for score

labels

the labels' names drawn for each class

a numeric vector used as an index

poslabel

the label position of each class (each level of fac), it can be regular or value. If regular, labels are evenly spaced. If value, labels are placed on the weighted mean of their cl

col

a color or a colors vector for points, labels and lines according to their factor level. Colors are recycled whether there are not one color by factor level.

facets

a factor splitting score so that subsets of the data are represented on different sub-graphics

plot

a logical indicating if the graphics is displayed

storeData

a logical indicating if the data are stored in the returned object. If FALSE, only the names of the data arguments are stored

add

a logical. If TRUE, the graphic is superposed to the graphics already plotted in the current device

pos

an integer indicating the position of the environment where the data are stored, relative to the environment where the function is called. Useful only if storeData is FALSE

...

additional graphical parameters (see adegpar and trellis.par.get)

Value

An object of class ADEg (subclass S1.class) or ADEgS (if add is TRUE and/or if facets or data frame for score or data frame for fac are used). The result is displayed if plot is TRUE.

Details

The weighted means of class are available in the object slot stats using object@stats$means. Graphical parameters for rugs are available in plines of adegpar. Some appropriated graphical parameters in p1d are also available.

Examples

Run this code

data(meau, package = "ade4")
envpca <- ade4::dudi.pca(meau$env, scannf = FALSE)

g1 <- s1d.class(envpca$li[, 1], meau$design$season, poslabel = "value", col = 1:4, plot = FALSE)
g2 <- s1d.class(envpca$li[, 1], meau$design$season, poslabel = "regular", col = 1:6, 
  p1d.reverse = TRUE, plot = FALSE)
ADEgS(c(g1, g2), layout = c(2, 1))