sco.gauss  R Documentation 
Draws Gauss curves with the same mean and variance as the scores of indivivuals belonging to categories of several qualitative variables.
sco.gauss(score, df, xlim = NULL, steps = 200, ymax = NULL, sub = names(df), csub = 1.25, possub = "topleft", legen =TRUE, label = row.names(df), clabel = 1, grid = TRUE, cgrid = 1, include.origin = TRUE, origin = c(0, 0))
score 
a numeric vector 
df 
a dataframe containing only factors, number of rows equal to the length of the score vector 
xlim 
starting point and end point for drawing the Gauss curves 
steps 
number of segments for drawing the Gauss curves 
ymax 
max ordinate for all Gauss curves. If NULL, ymax is computed and different for each factor 
sub 
vector of strings of characters for the lables of qualitative variables 
csub 
character size for the legend 
possub 
a string of characters indicating the subtitle position ("topleft", "topright", "bottomleft", "bottomright") 
legen 
if TRUE, the first graphic of the series displays the score with evenly spaced labels (see 
label 
labels for the score 
clabel 
a character size for the labels, used with

grid 
a logical value indicating whether a grid in the background of the plot should be drawn 
cgrid 
a character size, parameter used with par("cex")* 
include.origin 
a logical value indicating whether the point "origin" should belong to the plot 
origin 
the fixed point in the graph space, for example c(0,0) the origin axes 
Takes one vector containing quantitative values (score) and one dataframe containing only factors that give categories to wich the quantitative values belong. Computes the mean and variance of the values in each category of each factor, and draws a Gauss curve with the same mean and variance for each category of each factor. Can optionaly set the start and end point of the curves and the number of segments. The max ordinate (ymax) can also be set arbitrarily to set a common max for all factors (else the max is different for each factor).
The matched call.
Jean Thioulouse, Stéphane Dray stephane.dray@univlyon1.fr
data(meau) envpca < dudi.pca(meau$env, scannf=FALSE) dffac < cbind.data.frame(meau$design$season, meau$design$site) sco.gauss(envpca$li[,1], dffac, clabel = 2, csub = 2)
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