search for: bootstarpping

Hello to all R users, I use R for a year now and am dealing with geometric morphometrics of deer skulls. Yes, I am a biologist and my math skills are just beginning to brush up. To cut to the chase... I have two groups in my data (males and females) and my data is in a simple vector form. Now I need a bootstrap test for this value szc1 <- ((mean(maleCent)-mean(femaCent))^

dear group members, I am looking for a function that assess the stability of cluster. The result of hclust function is an hclust object which can be plot as a dendrogram. However to have confidence in the tree topology usualy bootstap is applied. I understand that I can apply bootstarp on the original data and then run hclust(dist() ) as much as I resampled but how to comapre the topologies the I

I use Ubuntu12.04, GNU Make 3.81 and I am not sure if I use some special configure options. The commands I use after clone the repo are as follows: cd xapian ./bootstarp ./configure make cd xapian-letor aclocal -I ../xapian-core/m4 libtoolize --force autoconf autoheader automake --add-missing ./configure make Is this normal? 2014-12-07 22:37 GMT+08:00 James Aylett <james-xapian at

Hello, I want to bootstarp a sample, and I need table() for each sample taken, like if R=100, I need all 100 table(). It seems to mee that boot() works anly if you assing statistics, that gives you back one number, like mean. Although the ?boot/statistics says that it can be a vector containing statistics. table() gives an array, so it might work. Does anybody have an idea how? I konw it can be

Dear all, I've a problem with bootstarp package... I want to bootstrap correlation ratio of some data. my code is: f<-function(d) cov(d$x,d$y)/sqrt(var(x)*var(y)) boot(d,f,R) As a result I got an error: Error in statistic(data, original, ...) : unused argument(s) (.. .) d is a data.frame containing two vectors with labels x and y. Also, another thing I have problem

Hi I am on Debian verson 7.7, GCC 4.7.2 and make 3.8.1. I cloned the code : git clone https://github.com/v-hasu/xapian git checkout gsoc2014-evaluation rm xapian-letor/nobootstrap ./bootstrap ./configure --no-documentation make CXXFLAGS='-w' and I get a different set of errors --- ranker.cc: In member function 'std::string Xapian::Ranker::get_cwd()': ranker.cc:80:36: error:

Hi~ Manu I was glad to see you were interested in Xapian, especially the learning to rank project. There are two branch in my repo. The one named gsoc2014 is followed the thought of Parth's work in which we not assign the test set for each ranking and in another one gsoc2014-evaluation we assign the training set and test set explicitly so that we can get the evaluation score of each ranking

Hello, I am doing a simple linear regression analysis that includes few variables. I am using a bootstrap analysis to obtain the variation of my variables to replacement. I am trying to obtain the coefficients 95% confidence interval from the bootstrap procedure. Here is my script for the bootstrap: N = length (data_Pb[,1]) B = 10000 stor.r2 = rep(0,B) stor.r2 = rep(0,B) stor.inter =