compositions (version 1.01-1)

colorsForOutliers: Create a color/char palette or for groups of outliers

Description

Conveniance Functions to generate meaningfull color palettes for factors representing different types of outliers.

Usage

colorsForOutliers1(outfac, family=rainbow,extreme="cyan",outlier="red",ok="gray40",unknown="blue")
colorsForOutliers2(outfac,use=whichBits(gsi.orSum(levels(outfac))),
                        codes=c(2^outer(c(24,16,8),1:7,"-")),ok="yellow")
pchForOutliers1(outfac,ok='.',outlier='<004>',extreme='<003>',unknown='<004>',...,
  other=c('<001>','<002>','<026>','<027>','<010>','<011>','<012>','<013>','<014>','<015>',
    '<016>',strsplit("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ","")[[1]])
    )
outfac{a factor given by an OutlierClassifier
    (e.g. OutlierClassifier1). colorsForOutliers1
    is used for the types
    "best","type","outlier","grade". colorsForOutliers2 is used
    for type all. }
  family{a function generating a color palette from  a numer of
    colors requested.}
  extreme{The color/char for extrem but not definitivly outlying observations.}
  outlier{The color/char for detected outliers.}
  unknown{The color/char for observation with unclear
    classification.}
  other{The character codes for other outlier classes.}
  ok{The color/char for nonoutlying usual observations.}
  use{a numerical vector giving the indices of the bits of the
    output to be represented. The sequence of the bits determins how each
    bit is represented.}
  codes{The color influences to be used for each bit.}
  ...{further codings for other factorlevels}
a character vector of colors or a numeric vector of plot chars.
This functions are provided for coveniance to quickly generate a
  palette of reasonable colors or plotting chars for groups of outliers
  classified by OutlierClassifier1.
[object Object]
OutlierClassifier1
data(SimulatedAmounts)
data5 <- acomp(sa.outliers5)
olc <- OutlierClassifier1(data5)
plot(data5,col=colorsForOutliers1(olc)[olc])
olc <- OutlierClassifier1(data5,type="all")
plot(data5,col=colorsForOutliers2(olc)[olc])
multivariate