1-D box plot of a numeric score partitioned in classes (levels of a factor)

This function represents the link between a variable and a set of qualitative variables using box-and-whisker plots.

Usage

s1d.boxplot(score, fac = gl(1, NROW(score)), at = 1:nlevels(fac), 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
at: a numeric vector used as an index
col: a color or a colors vector for points, labels, lines and polygons 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)

Details

Graphical parameters for rugs are available in plines of adegpar and the ones for boxes in ppolygons. Some appropriated graphical parameters in p1d are also available.

Value

An object of class ADEg (subclass S1.boxplot) 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.

Author

Alice Julien-Laferriere, Aurelie Siberchicot aurelie.siberchicot@univ-lyon1.fr and Stephane Dray

Examples

data(banque, package = "ade4")
banque.acm <- ade4::dudi.acm(banque, scan = FALSE, nf = 4)
s1d.boxplot(banque.acm$l1[, 1], banque[, 2], psub.text = names(banque)[2], 
  psub.position = "topleft", col = c("red", "blue", "green", "purple", "orange"))

s1d.boxplot(banque.acm$l1[,1], banque[, 1:6], psub.position = "topleft")