search for: cooccurence

Hi all, First off, thank you for the overwhelming response last time. I'm still trying to figure out the syntax of R to plot some distributions of some frequencies. I've managed to plot histograms from the data, but I would like to clean it up using xyplot from library(lattice). Unfortunately I cannot find a solution to my problem. Given a dataframe "all2", with numerical

Hey all, I feel like the solution to this problem should be relatively simple, but for some reason I can't find answers or come up with my own solution. Given the dataframe: (SpA and SpB not important, want to look at distribution of cooccurance for each year) Year SpA SpB Coocc 2000 0 2000 2 2000 1 2001 8 2001 2 2001 0 2001 0 2002 1 2002 2 How can I apply different functions to

...each variable. Read some papers concerning smallest space analysis, but it does not seems implemented in any R package (and my protamming skills are =0). Non metric MDS gives error messages, probably because of the dichotomous character of my variables. My aim is basically to obtain a 2D plot with cooccurence expressed as distance between plots (variables). Any advice to such issue? Thanks in advance and sorry for this long post marco -- View this message in context: http://r.789695.n4.nabble.com/Dichotomous-variables-tp3721550p3721550.html Sent from the R help mailing list archive at Nabble.com.

Hi, I'm trying to build a thesaurus that will sensible values for rare words. I suspect the best algorithm to use is k-means although I'm not sure about that -- I would have preferred a k dimensional space with a binary cluster in each dimension so a word can belong to 0..k clusters, but I digress... I can measure the strength of correlation between words fairly easily by counting

Hello All! I am trying to plot the frequency of species coocurrance. If given a data set similar like this...(V1="species A", V2="species B", V3="frequency of cooccurance") > data V1 V2 V3 1 A B 0 2 A C 2 3 A D 5 4 B C 0 5 B D 1 6 C D 0 > data1<-as.data.frame(lapply(data,function(x)(rep(x,data$V3)))) > as.data.frame(data1[-1]) >

###Dear R users ###I have been using SensoMineR package from CRAN for most of my work in sensory data analysis and from my usage experience, I encountered some areas for improvement and considered ###modifying the function in SensoMineR package for my personal use. I felt that it could be useful to share this to the community for enabling adoption by other users where they might require a