| summary.prabtest {prabclus} | R Documentation |
Useful compression of the results of prabtest.
## S3 method for class 'prabtest':
summary(object, above.p=object$teststat %in%
c("groups","inclusions","mean"),
group.outmean=FALSE,...)
## S3 method for class 'summary.prabtest':
print(x, ...)
object |
object of class prabtest. |
above.p |
logical. TRUE means that for output from
abundtest the p-value is
p.above, otherwise p.below. |
group.outmean |
logical. If TRUE and
object$teststat="groups", statistics concerning the mean of
all dissimilarities are given out by print.summary.prabtest. |
x |
object of class summary.prabtest. |
... |
no meaning, necessary for print and summary methods. |
summary.prabtest produces an object of class
summary.prabtest, which is a list with components
rrange |
range of the simulation results (test statistic values)
of object. |
rmean |
mean of the simulation results (test statistic values)
of object. |
datac, p.value, pd, tuning, teststat, distance, times, pdfnb,
abund, sarlambda |
directly
taken from object, see prabtest and abundtest. |
groupinfo |
if object$teststat="groups", components
rrangeg (matrix of group-wise ranges of test statistic
value), rmeang (vector of group-wise means of test statistic
value), rrangem (range over simulations of overall mean of
within-group dissimilarities), rmeanm (mean over simulations
of overall mean of within-group dissimilarities) are added to the
list object$groupinfo, and this is given out. |
Christian Hennig chrish@stats.ucl.ac.uk http://www.homepages.ucl.ac.uk/~ucakche
data(kykladspecreg) data(nb) set.seed(5678) kprab <- prabinit(prabmatrix=kykladspecreg, neighborhood=nb) kpt <- prabtest(kprab, times=5, pd=0.35, teststat="lcomponent") # The parameters times and # pd are only given to fasten the example execution. summary(kpt)