search for: ordinations

I'm trying to install the ordinal package (http://popgen.unimaas.nl/~plindsey/rlibs.html). I downloaded ordinal03.tgz and untarred it. rmutil was previously installed (and appears to work ok.) Then I installed ordinal: [root at localhost ~]# R CMD INSTALL /home/chippy/Download/ordinal * Installing to library '/usr/lib/R/library' * Installing *source* package 'ordinal' ... **

Hi I would like to analyse an ordinal categorical variable. I know how I can analyse a nominal categorical variable (with multinom or if there are only two levels with glm). Does somebody know which command I need in R to analyse an ordinal categorical variable? I want to describe the variable y with the variables x1,x2,x3 and x4. So my model looks like: y ~ x1+x2+x3+x4. y: ordinal factor

Ping ? Do you think that we need to have an API in LinkingContext to return the next ordinal available, so that files created by passes can be assigned ordinals ? Thanks Shankar Easwaran On 10/6/2013 11:07 PM, Shankar Easwaran wrote: > In addition I think the LayoutPass std::stable_sort be replaced with > std::sort as total ordering is guaranteed as each File would get an >

I''m trying to use the ordinalize() method to ordinalize a day. Here''s how far I''ve gotten: @reportday = Time.now.at_beginning_of_week.strftime("%d").to_i @ordinalized_reportday = "#{@reportday}".ordinalize I was thinking it wasn''t working because the date is being returned as a string, however I added the .to_i and still it returns an

Hi. I need a very short piece of help regarding colouring segments plotted on a graph. When I am plotting segments for the graph, I am using "red" and "darkgreen for the values "1" and "2" respectively. Heres the relevant line of code in R: + col = c("red", "darkgreen")[line.colour.value]) I just need to extend this to refer to a larger

Hello I've been asked to help evaluate a vegetation data set, specifically to examine it for community similarity. The initial problem I see is that the data is ordinal. At best this only captures a relative ranking of abundance and ordinal ranks are assigned after data collection. I've been trying to find a procedure in R that can handle ordinal based classification and so far have

Hi, I am working on a regression tree in Rpart that uses a continuous response variable that is ordered. I read a previous response by Pfr. Ripley to a inquiry regarding the ability of rpart to handle ordinal responses in 2003. At that time rpart was unable to implement an algorithm to handle ordinal responses. Has there been any effort to rectify this in recent years? Thanks! Stacey On

Hi. First of all, excuse me if I do any mistakes, but English is not a language I use very often. I have a data frame with numbers. A small part of the data frame is this: nominal ordinal 2 2 2 1 2 1 2 2 So, I want to use the gower distance function on these numbers. Here (

I'm finally cleaning up old things / todo's; We had about half a dozen e-mails on R-devel back in mid March...... Here is my proposal, a sometimes useful utility for constructing strings in cat() or text(), legend(), etc.: ordinal <- function(i, language =3D "english", gender =3D c("female","male"), sep=3D""= ) { ii <- i

After working on some more plugins I realized that the naming for flac's ordinal types were not going to cut it. There is too much chance for conflicts with other libraries/programs with names like 'bool' and 'uint32' so I went back and prefixed all flac ordinal types with 'FLAC__'. It makes the code a little harder to read until you get used to it but should make the

On Mon, Oct 7, 2013 at 11:51 AM, Shankar Easwaran <shankare at codeaurora.org>wrote: > Ping ? > > Do you think that we need to have an API in LinkingContext to return the > next ordinal available, so that files created by passes can be assigned > ordinals ? > That API may work, but I don't think you always want to assign the largest file ordinal for a file created in

I have been asked to analyse some questionnaire data- which is not data I'm that used to dealing with. I'm hoping that I can make use of the nabble expertise (again). The questionnaire has a section which contains a particular issue and then questions which are related to this issue (and potentially to each other): 1) importance of the issue (7 ordinal categories from -3 to +3) 2) impact

Dear R specialists, I have a multivariate statistics question that I want to submit to the R community (which conveys a very good statistical knowledge). I need to perform an optimal scaling based on a discrete variable and an ordinal variable. The discrete variable, Area, defines a geographical area. The ordinal variable, EducationLevel, describes the education level of individuals (the

Hi, I've been using R for a while now but I've got a problem with metaMDS (in the vegan package) that I can't quite figure out. I have a set of proportion data (from 0-1, rows sum to 1) that I apply metaMDS to using the command: nMDS.set=metaMDS(sqrt(test.set),distance="euclidean",k=3,zerodist="add",autotransform=FALSE) I am using a squared-chord distance

Hi, It looks like the the ELFPassFile doesnot get an ordinal value assigned, as its added in a pass. Is there a way to assign a file ordinal for the files added by Passes ? Till that time, I am going to XFAIL the ifunc test. More tests should fail, and am not sure why they are not failing. Thanks Shankar Easwaran -- Qualcomm Innovation Center, Inc. is a member of Code Aurora Forum, hosted

Dear All, I am using a Procrustes analysis to compare two NMDS ordinations for the same set of sites. One ordination is based on fish data, the other is based on invertebrate data. Ordinations were derived using metaMDS() from the {vegan} library as follows: fish.mds<-metaMDS(fish.data, distance="bray", k=3, trymax=100, wascores=TRUE, trace=TRUE, zero="...

Dear Peter. I guess you know that Jim Lindseys code include nordr and ordglm in library gnlm - I attach the htmls which do various linear and nonlinear ordinal regressions - exemplified with just the data mentioned, McCullagh (1980) JRSS B42, 109-142. I had it work very fine. -----Oprindelig meddelelse----- Fra: Peter Malewski <p.malewski at tu-bs.de> Til: Troels Ring <tring at

Hi there, during my work I have to use kernel smoothing methods for multivariate ordinal data. The R-package "KernSmooth" unfortunately includes only a version for continous scaled variables. Does anybody know whether there exists also a version for ordinal data? Thanks for help! --

Dear colleagues, i am carrying out an ordinal regression model. I try it on SPSS but I "flirt" with R as well. I have a few questions. 1. What is the most reliable/tested/trusted package for ordinal regression in the R world? 2. Also, I have a statistical question. What is the danger of having to many 'empty cells' in ordinal regression? How many empty cells are too many? Do

...2 5 8 1 3 2 1c 0 2 4 7 2 1 2c 0 1 4 6 9 10 3c 13 15 19 10 8 9 Where: 1i-3i are "infested" sites, and 1c-3c are "control sites". A-F are species found at each site. I have several of these ordinations to perform on different variables (BA, density, RIV, cover, etc..., all in different matrices). I'm running NMDS (metaMDS) ordinations on each matrices, and producing ordination graphs for each cloud of points. The problem I have is that I cannot devise a way to split the cloud of points into...