similar to: Problems with Shapiro Wilk's test of normality.

Dear list, I cannot make the latex command to output a ftable objet the way I want it. Is it posible? I found a post in the archives saying that one should use the rgroup and n.rgroup arguments to supply the row names, but so far I have been unsuccessful. This is what I have: >

Dear list, I have a table that I would like to convert to latex for inclusion into a Sweave file. > round(ftable(prop.table(xtabs(~agemF + votcat + Type , data=work),margin=2))*100,1) Type Voiced Voiceless unaspirated Voiceless aspirated agemF votcat 18 - 24 Prevoiced 2.6 8.7

I appologize if this post is a duplicate, but I did not get my first post myself.. Here is my original post: --------------------------------- Hi all, I've got some troubles with a Lattice plot. The error I get is Error in Ops.factor(groups[subscripts], vals[i]) : Level sets of factors are different which sort of doesn't make sense to me. Can you please help me figure out what

I have service with both VoIPtalk.org and Andrews & Arnold (aa.net.uk). VoIPtalk calls are unauthenticated and reach me fine, but Andrews & Arnold calls are authenticated. The last call I successfully received was on Tuesday afternoon. Initially, A&A were for some odd reason not sending calls to my server, but that has been resolved. The problem now is that the calls fail to

Dear list, I used to have this code in a Sweave document: sel <- placeDF$Place == "Velar" & placeDF$manner == "Plosive" table(placeDF$agem[sel], placeDF$place[sel]) -> pd print( dotplot( prop.table(pd,margin=1), auto.key=list( space="right" ), xlab="Relative Frequency",

In increasing the computation time and bit rate with VBR: Has anyone considered implementing the standard audiological recognition technique of using the duration of zero energy (voice onset timing) to identify the presence of voiceless sounds? I would like a means of determining whether or not a given window will be full of voiced speech or not. Matt -- The swallow may fly south with the sun

Hello, I've been using Samba on a Sun server but we recently discontinued using the Sun and switched to using Samba on a RH linux server. I can't get file sharing to work on the new server. When I test the connection to the samba server (velar) by running smbclient //velar/homes -U eric I get an error message referring to NT_STATUS_BAD_NETWORK_NAME. I can't find any reason for this

Dear helpeRs, the following data set comes from Johnson/Wichern: Applied Multivariate Statistical Analysis, 6th ed, pp. 304-306. /X <- structure(c(9, 6, 9, 3, 2, 7), .Dim = as.integer(c(3, 2))) Y <- structure(c(0, 2, 4, 0), .Dim = as.integer(c(2, 2))) Z <- structure(c(3, 1, 2, 8, 9, 7), .Dim = as.integer(c(3, 2)))/ I would like to compute Wilk's Lambda in R, which I know is 0.0385.

Hello, What should the following input produce? Dutch has shifted Germanic g to the velar fricatives [?] and [x], but retained the spelling with <g> and thus at least a visual similarity to German; English and Frisian have shifted g to [j] before palatal vowels The Dingus says: <p>Dutch has shifted Germanic g to the velar fricatives [?] and [x], but retained the spelling

Hello, I am switching from SPSS-Windows to R-Linux. My university is very SPSS-oriented so maybe that's the cause of my problems. I am a beginner in R and my assignments are SPSS-oriented, so I hope I don't annoy anyone with my questions... Right now I've got 2 problems: -I have to evaluate discriminant functions I have calculated with lda(MASS). I can't find a measure that

Thank you very much for your help, your fuction runs on R without any change, and the results are the same that your obtain with Splus, but there still a small difference. In SAS W=0.960439 With your shapiro.wilk.test W=0.9606107 But the p-values are almost the same. Thank you very much for your help. > Here is a function for the Shapiro-wilk test that I obtained from StatLib. > Using

Can R do a repeated measures MANOVA and tell what dimensionality the statistical variance occupies? I have been using MATLAB and SPSS to do my statistics. MATLAB can do ANOVAs and MANOVAs. When it performs a MANOVA, it returns a parameter d that estimates the dimensionality in which the means lie. It also returns a vector of p-values, where each p_n tests the null hypothesis that the mean

Hello, using the lda-method from MASS-package I was wondering whether there is a built-in method for figuring out Wilks' Lambda? Searching the Web I found in the r-help archive a thread form june 2002, but it didn't help me. I understand I can use manova and its summary-method to get Wilks' Lambda on the screen, but I don't see the connection to lda from MASS. Or does

Dera Graham I would highly be thankful if u help me how to do 1. Wilk's Lambda test 2. Box plots and 3. pooled within group standardization in discriminant analysis with 6 variables in R. Actually I am new to R but I have an assignment to analyse some questions only in R and there is drawback for me, no one in our dept. knows about R. Really I am very much depressed and afraid that I will

Maybe this is dumb, but I seem to be having problems reading a file saved in R v. 0.99 into R 0.90.1 (in a different machine). I did >save(test1, file="test1.RData") then I tried to read that data file in R 0.90.1: >load("test1.RData") Error in load("test1.RData") : restore file corrupted -- no data loaded More info: - both machines are running Linux;

Fellow R Users: I'm not extremely familiar with lda or R programming, but a recent editorial review of a manuscript submission has prompted a crash cousre. I am on this forum hoping I could solicit some much needed advice for deriving a classification equation. I have used three basic measurements in lda to predict two groups: male and female. I have a working model, low Wilk's lambda,

If we need to name the llvm mascot, how about lleweelyn.... or perhaps even better, LLeVeelyM Nick On Thu, Jul 30, 2009 at 3:06 PM, Albert Graef<Dr.Graef at t-online.de> wrote: > m awful at this kind of stuff, but maybe someone could do a small > version of this with "LLVM Inside" or some such phrase on it, to be used > on websites of compilers using LLVM as their

Hello, I have run a discriminant analysis (with lda() from the MASS package) but I can't find a way to examine the p-values for the discriminant functions. I would like to calculate a Wilk's lambda and then the Bartlett's V statistic which is distributed as a chi squared and test its significance, but I haven't found out how to do so. Can anyone help? Thank you, Janke ten

Dear List, Is there any function in R to generate multivariate F distribution with given correlation/covariance matrix? Actually, I just want to generate some 2-dimentional non-normal data sets (skewed) for low (may be around 0.3 cor coeff.) negatively and also positively correlated variables ? Thanks in advance. Anna

Hi everybody ... I have to perform Hotteling's T^2 Test - more generally a MANOVA - on a set of data. Is there a (simple?) possibility to do it in R? The somewhat obvious way to do it would be > summary(aov(Y ~ x1 + x2 ... + xn)) where Y would be a two-column matrix. But this does not work in any possible combination of matrix or factor dimensions! Is it principally not possible