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)