qqnorm {compositions} | R Documentation |
The plots allow to check the normal distribution of multiple univaritate marginals by normal-quantile-quantile plots. For the different interpretations of amount data a different type of normality is assumed and checked. When an alpha-level is given the marginal displayed in each panel is checked for normality.
## S3 method for class 'acomp': qqnorm(y,fak=NULL,...,panel=vp.qqnorm,alpha=NULL) ## S3 method for class 'rcomp': qqnorm(y,fak=NULL,...,panel=vp.qqnorm,alpha=NULL) ## S3 method for class 'aplus': qqnorm(y,fak=NULL,...,panel=vp.qqnorm,alpha=NULL) ## S3 method for class 'rplus': qqnorm(y,fak=NULL,...,panel=vp.qqnorm,alpha=NULL) vp.qqnorm(x,y,...,alpha=NULL)
y |
a dataset |
fak |
a factor to split the dataset, not yet implemented in aplus and rplus |
panel |
the panel function to be used or a list of multiple panel functions |
alpha |
The alpha level of a test for normality to be performed for each of the displayed marginals. The levels are adjusted for multiple testing with a Bonferroni-correction (i.e. dividing each of the the alpha-level by the number of test performed) |
... |
further graphical parameters |
x |
used by pairs only |
qqnorm.rplus
and qqnorm.rcomp
displays qqnorm-plots of
individual amounts (on the diagonal), of pairwise differences of amounts
(above the diagonal) and of pairwise sums of amounts (below the
diagonal).
qqnorm.aplus
displays qqnorm-plots of
individual log-amounts (on the diagonal), of pairwise log-rations of
amounts (above the diagonal) and of pairwise sums of log amount (below the
diagonal).
qqnorm.aplus
displays qqnorm-plots of pairwise log-ratios of
amounts in all of diagonal panels. Nothing is displayed on the
diagonal.
In all cases a joint normality of the original data in the selected
framework would imply normality in all displayed marginal
distributions.
The marginal normality can be checked in each of the plots using a
shapiro.test
, by specifying an alpha level. The
alpha level are corrected for multiple testing. Plots displaying a
marginal distribution significantly deviating from a normal
distribution are marked by a red exclamation mark.
vp.qqnorm
is used as a panel function to make high dimensional
plots.
K.Gerald v.d. Boogaart http://www.stat.boogaart.de
plot.acomp
, boxplot.acomp
,
rnorm.acomp
, rnorm.rcomp
,
rnorm.aplus
, rnorm.rplus
data(SimulatedAmounts) qqnorm(acomp(sa.lognormals),alpha=0.05) qqnorm(rcomp(sa.lognormals),alpha=0.05) qqnorm(aplus(sa.lognormals),alpha=0.05) qqnorm(rplus(sa.lognormals),alpha=0.05)