similar to: JMP <-> R ?

Dear R Help team, I'm having some problems running a discriminant analysis (MASS:lda) over my data, i have a grouping variable coming from a previous cluster analysis and several discriminators (78 actually). I'm trying to run lda using column index as independent variable in the formula like it's done in the help page for ?formula:

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Hi, I configured a share for home-directories on my Debian Samba PDC (4.1.9) and connected the share on another linux machine (terminal server) via /etc/fstab: //192.168.10.51/home /home/DOMAIN/ cifs credentials=/root/.smbcredentials,iocharset=utf8 0 0 The .smbcredentials file contains the Domain Administrators username/password. The share is mounted successfully,

Hello My name is Lara Thynne and I am a PhD candidate at Deakin University Australia. I am currently researching the boundary between work and leisure activities directly related to the open source community and open source program development. As part of this I am running a survey at the following address. https://dcarf.deakin.edu.au/surveys/oss/ The survey is completely confidential and

Hello My name is Lara Thynne and I am a PhD candidate at Deakin University Australia. I am currently researching the boundary between work and leisure activities directly related to the open source community and open source program development. As part of this I am running a survey at the following address. https://dcarf.deakin.edu.au/surveys/oss/ The survey is completely confidential and

something like ... > x<-c(1,2,3,0,5,6,0) > is.na(x[x==0])<-T > x [1] 1 2 3 NA 5 6 NA ~~~~~~~~~~~~~~~~ Robert Kinley ~~~~~~~~~~~~~~~~ [[alternative HTML version deleted]]

Hi all, I am attempting to apply a nonlinear model developed using nls to a new dataset and assess the fit of that model. At the moment, I am using the fitted model from my fit dataset as the starting point for an nls fit for my test dataset (see below). I would like to be able to view the t-statistic and p-values for each of the iterations using the trace function, but have not yet worked out

Hello, I am working with a dataset with three variables and one binomial parameter. The glm function provides coefficients for these three variables, e.g. -1.5 | 27.2 | -2.9 If I'm not mistaken, $fitted.values gives me an estimate of how likely my parameter is to be true/1 . I would like to apply these coefficients on other variables to predict the binomial parameter but I'm not sure how

It's often useful to view objects in time order. In Splus I can do this with > objects.summary(order = "dataset.date") which delivers this sort of thing ... data.class storage.mode extent object.size dataset.date reference data.frame list 25 x 4 1700 2004.09.13 15:43 x data.frame list 15 x 4 1175

Hi everyone, We are a longtime samba/win desktop shop but are getting more Macs. Samba sernet rpms 3.3.9 on CentOS 5.4 test box (started to test 3.43 but will wait) and I confirmed a problem I have been having in production. Server is ADS member with ldap stored idmap. All AD auth and idmap are identical to production servers and have been working fine for years. Filesystem is XFS and there are

I really like RStudio ... ... but I wish it wouldn't automatically reload the last .RData it had. Anyone know how to fix this ... ? Also - does anyone know is there an Rstudio-user email-list forum thingy out there ? ta. Robert Kinley [[alternative HTML version deleted]]

platform: R 2.14.2 - Windows XP - Rstudio When I use cat() or print() in a script, the output text is of course mixed up with the lines of the script. I can sink() the output to a textfile and then play the file back at the end of the script, but that's not really what I'm after. It would be nice if the lines of text output could appear in a separate window, in the same

Hi I'm having difficulty working out how to get what I think is the appropriate partitioning of variability in a repeated measures setup. I have G=5 treatment-groups, each containing n=6 subjects, and a response is measured on each subject on t=4 occasions. I think the anova degrees of freedom should partition as follows - Between-subjects: G*n-1=29 [ between-groups: g-1 = 4 ,

hi I've used R for many years on windows machines, but have now acquired an Asus eee 1000 linux machine. In order to get the best out of the machine, I used the 'pimpmyeee.sh' script, to get the full KDE desktop. The version of Linux is Xandros, which I believe is a close relative of Debian, but sadly I have only a nodding acquaintance with Linux at present. Naturally I want to

Hi does anyone know of any R functions or packages for the following :- . generating cube plots for displaying the results from a response surface experiment design . generating ternary plots from a mixture design . tetrahedral plot or quaternary plot for displaying results from a four factor mixture experiment thanks Bob Kinley [[alternative HTML version deleted]]

Hi folks I have inherited a package which was created before release 2.10 and I need to have it working in release 2.12 There is a folder containing the Man, Data and R subfolders, and the description file, and there is also the corresponding zip file. I can install the package from the zip file, but when I try to load it I get the message :- Error: package was built before R

{ I think this message got rejected at the 1st attempt - trying again} R 2.15.1 , windows XP I have a very non-stationary bivariate time-series - say {xt,yt} t=1 ... lots. I want to do a bivariate density contour-plot of the whole series and then step through the series 1 second at a time plotting that second's {x,y} subset on top of the contour plot and losing the previous

Hi For bureaucratic reasons beyond my control I need to rewrite an R function (for producing operating characteristic curves) as an Splus function ( version 6 , windows XP ). The R function makes extensive use of the fact that the student's t distribution function pt() has a non-centrality parameter built in ... sadly that parameter is not present in the Splus pt() function .

My small brain is having trouble getting to grips with lme() I wonder if anyone can help me correctly set the random = argument to lme() for this kind of setup with (I think) 9 variance/covariance components ... Study.1 Study.2 ... Study.10 Treatment.A: subject: 1 2 3 4 5 6 etc. 28 29 30 Treatment.B: subject: 31

> Ok...So I actually *typed* the table with WordPad, using the Tab button >in order to separate the columns, and saved it in rich text format. As you >might have guessed, it didn´t work. I got a: > Error in count.fields(file, sep, quote, skip, blank.lines.skip) : > string terminated by newline or EOF RTF is not what is meant by text. What I am writing is text. Your