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

Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/S1.label.R

Description

This function represents a numeric labeled score

Usage

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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 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 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 [email protected] and Stephane Dray

See Also

S1.label ADEg.S1

Examples

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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 April 5, 2018, 5:07 p.m.