s1d.label: 1-D plot of a numeric score with labels

In adegraphics: An S4 Lattice-Based Package for the Representation of Multivariate Data

1-D plot of a numeric score with labels

Description

This function represents a numeric labeled score

Usage

s1d.label(score, labels = 1:NROW(score), at = 0.5, poslabel = c("regular",
  "value"), facets = NULL, plot = TRUE, storeData =
  TRUE, add = FALSE, pos = -1, ...)

Arguments

score	a numeric vector (or a data frame) used to produce the plot
labels	the labels' names drawn for each score value
at	a numeric vector used as an index
poslabel	the label position, it can be regular or value. If regular, labels are evenly spaced. If value, labels are placed on the weighted mean of their class.
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. Some appropriated graphical parameters in p1d are also available.

Value

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

Author(s)

Alice Julien-Laferriere, Aurelie Siberchicot [e-mail] and Stephane Dray

See Also

S1.label ADEg.S1

Examples

data(meau, package = "ade4")
envpca <- ade4::dudi.pca(meau$env, scannf = FALSE)
g1 <- s1d.label(envpca$l1[, 1], row.names(envpca$l1), plot = FALSE)
g2 <- s1d.label(envpca$co[, 1], row.names(envpca$co), p1d.reverse = TRUE, plot = FALSE)
G <- ADEgS(c(g1, g2), layout = c(2, 1))      

adegraphics documentation built on Oct. 13, 2023, 5:11 p.m.