View source: R/correlogram.ade.R
correlogram.ade | R Documentation |
Draw a correlogram (A Correlation matrix)
correlogram.ade(vars1, vnames1="noname", vars2, vnames2="noname", prediktors=0, data=NULL, xlab=NULL, ylab=NULL, main=NULL, method="p", digits=2, pdigs=4, pvals=TRUE, bars=TRUE, col=NULL, tcol=NULL, bgcol=NULL, wall=0)
vars1 |
a vector of character strings with the names of variables in data.frame (rows) |
vnames1 |
a vector of character strings with the labels for vars1 |
vars2 |
a vector of character strings with the names of variables in data.frame (cols) |
vnames2 |
a vector of character strings with the labels for vars2 |
prediktors |
a vector of character strings with the names of variables for adjustment (partial correlation) |
data |
a data.frame |
xlab |
a title for the x axis |
ylab |
a title for the y axis |
main |
a main title of the plot, it will be drawn below the plot |
method |
a single keyword from:
indicating which correlation coefficient is to be used. |
digits |
how many significant digits are to be used |
pdigs |
a number indicate how to round p-values.: see ?format.pval.ade |
pvals |
logical asking whether to draw p-values |
bars |
logical asking whether to draw bars |
col |
not used |
tcol |
color of the text in whole plot |
bgcol |
the background color for plot dekoration |
wall |
a number between 0 and 6 for selection the dekoration style of the plot. |
data<-rnorm(1000) data<-as.data.frame(data) for(i in 1:9){ eval(parse(text=paste("data$var_", i, "<- rnorm(1000)", sep=''))) eval(parse(text=paste("data$var_", i, "[round(runif(round(runif(1, 1, 100)), 1, 1000))]<-NA", sep=''))) } correlogram.ade(vars1=c('var_1', 'var_2', 'var_3', 'var_4', 'var_5'), vars2=c('var_6', 'var_7', 'var_8', 'var_9', 'var_3'), data=data)
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