search for: mnds

...rates four different 'means' using + #difference scores from x2, an n x 2 matrix + #for use w/ bootstrap comparisons + diffs = apply(x2,1,diff) + mn1=mean(diffs) + mn2=mean(diffs,tr=.2) + mn3=mean(diffs,tr=.3) + mn4=median(diffs) + mns=c(mn1,mn2,mn3,mn4) + list(mnds=round(mns,3)) } > dif.mns(shoes) Error in apply(x2, 1, diff) : dim(X) must have a positive length -- View this message in context: http://r.789695.n4.nabble.com/Error-in-apply-x2-1-diff-dim-X-must-have-a-positive-length-tp4382435p4382435.html Sent from the R help mailing list archive at Nabbl...

...of cluster membership for each point. I've calculated (thanks to nice people help) the multivariate normal densities (mnd) using dmvnorm function: pd11=mvtnorm::dmvnorm(dataset1,mean=dataset1MC$parameters$mean[,1],sigma=dataset1MC$parameters$variance$sigma[,,1]) I've obtained a vector of mnds for each cluster: NA12043 NA12249 NA12264 NA12707 NA12716 NA12717 NA12751 NA12762 NA12864 NA12873 NA07034 NA07048 NA07055 NA07345 NA07348 NA07357 NA10830 NA10835 8.627681e+00 8.465797e+00 1.522724e+01 2.047262e+01 1.780...