diptest.multi {fpc} | R Documentation |
Diptest (Hartigan and Hartigan, 1985, see dip
)
for data projected in discriminant coordinate separating optimally two
class means (see discrcoord
) as suggested by Tantrum, Murua and
Stuetzle (2003).
diptest.multi(xdata,class,pvalue="uniform",M=100)
xdata |
matrix. Potentially multidimensional dataset. |
class |
vector of integers giving class numbers for observations. |
pvalue |
|
M |
integer. Number of artificial datasets generated in order to
estimate the p-value if |
The resulting p-value.
Christian Hennig chrish@stats.ucl.ac.uk http://www.homepages.ucl.ac.uk/~ucakche/
J. A. Hartigan and P. M. Hartigan (1985) The Dip Test of Unimodality, Annals of Statistics, 13, 70-84.
Tantrum, J., Murua, A. and Stuetzle, W. (2003) Assessment and Pruning of Hierarchical Model Based Clustering, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, Washington, D.C., 197-205.
# not run, requires package diptest # x <- cbind(runif(100),runif(100)) # partition <- 1+(x[,1]<0.5) # d1 <- diptest.multi(x,partition) # d2 <- diptest.multi(x,partition,pvalue="tantrum",M=10)