similar to: code for index of canor analysis

Howdy! I'm a clinical psychologist desperately trying to get rid of SPSS. I just discovered R and like it quite a lot. The main reason why we're still using SPSS is the hierarchical regression where you enter bundles of variables into a linear model and get an R-sqare increase tested with an F-test. I already found add1 and drop1 but would rather need addn and dropn. Is there

I've spended days trying to get a Samba3 PDC configuration. It almost works now, but I have experimented a lot of problems and now my configuration is still FAR from perfect. I have no more time left so I'm looking for somebody to share his/her configuration files with me. That is what I'm setting: Samba 3.0.0 PDC with LDAP backend. The same LDAP users and groups as valid

Dear all R users : I am a IT student with few statistical background and new R user for only have two month exprience. I have a data named medcost, import by read.table() as follow for example (real dataset has 500 cases), the heander id means case id, member means members in a family and cost is the family pay for medical cost every 6 months. id member cost 1 4

Dear all, Has someone implemented in R (or any other language) Knol DL, ten Berge JMF. Least-squares approximation of an improper correlation matrix by a proper one. Psychometrika, 1989, 54, 53-61. or any other similar algorithm? Best regards Jens Oehlschl?gel Background: I want to factanal() matrices of polychoric correlations which have negative eigenvalue. I coded Highham 2002

I'm installing a Samba 3.0 PDC with LDAP backend in a classroom in a Spanish school. Client workstations are Windows2000 and, in the future, there will be Linux clients. I'm following the Samba Project Documentation book (also known as Samba Howto Collection). The document is wonderfull, but there is a part that I don't fully understand, maybe because, as you can read, I'm not a

> -----Original Message----- > On Mon, 29 Dec 2003, [ISO-8859-1] ?ncor Gonz?lez Sosa wrote: > > With Samba you can do only what you can do with NT4 using the > NTConfig.POL file. > > > You can copy the files Win2K creates in > c:\WINNT\SYSVOL\sysvol\domainname\profiles to a share called > "SYSVOL" under the path: >

Dear listers, I can't find the variance or se of the coefficients in a multilevel model using lme. I want to calculate a Chi square test statistics for the variability of the coefficients across levels. I have a simple 2-level problem, where I want to check weather a certain covariate varies across level 2 units. Pinheiro Bates suggest just looking at the intervals or doing a rather

Dear R Users, Here is another probelm/question. I would like to run some panel regressions with R. Therefore I have combined several time periods of data for different individuals in my database. I have already run pooled OLS but I would need to calculate a Fixed Effects Estimator (within estimator). Unfortunately I couldn't find anything like that in the RSearch and I suppose that lme

I have dowloaded the Source Code of R,and I want to know the process of chi-sqared test,but how can I found it? [[alternative HTML version deleted]]

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 On Tue, 10 Jul 2018, Anushka Bandara wrote: > * Error: User initialization failed: Namespace '': > mkdir(/home/users/"user"/Desktop/Maildir) failed: Permission denied > (euid=1000(myuser) egid=5000(<unknown>) missing +w perm: /home, we're not > in group 100(users), dir owned by 0:100 mode=0775)* Well, what is

Dear list I am using the mvr function of the package pls.pcr to compute PLS resgression using a X matrix of gene expression variables and a Y matrix of medical varaibles. I would like to obtain the R2 (sum of squares captured by the model) and Q2 (proportion of total sum of squares captured in leave-one-out cross validation) of the model. I am not sure if there are specific slots in the

Dear All, I have a problem understanding the difference between the outcome of a fisher exact test and a chi-square test (with simulated p.value). For some sample data (see below), fisher reports p=.02337. The normal chi-square test complains about "approximation may be incorrect", because there is a column with cells with very small values. I therefore tried the chi-square with

Hello. I have a lot of files that contain tables of data in a directory. I want to do the following in R but I don't know how: for i in 1 to the number of files { table[i]=read.table(file="file i") } The dimension of each table is different. All of these are tables of two dimensions. My first problem is to put all the file names in a table. Next, how I can load them using the

Hi, I have a matrix and time series "xmat". I have no problem executing any matrix functions except t(xmat) which gives the following error message. My question if "xmat" is a matrix why I can not execute this matrix function?? converting the time series and matrix into a data frame solves the problem >dim(xmat) [1] 98 7 > t(xmat) Error in "tsp<-"(*tmp*,

This is significant because it's a plugin which was from the last stable release containing undefined symbols (in the internal plugins). $ ldd -r tests/old-plugins/x86_64/Linux/v1.18.2/nbdkit-file-plugin.so linux-vdso.so.1 (0x00007ffe86cdd000) libgcc_s.so.1 => /lib64/libgcc_s.so.1 (0x00007f551b3e5000) libc.so.6 => /lib64/libc.so.6 (0x00007f551b21b000) /lib64/ld-linux-x86-64.so.2

Dear all, I have a variable that I would like also to use it as a string. The reasons is that I want to collect results from different function to one table.. So when I use the  colnames(mymatrix) <-c(function1.function2,function3) the function1, function2, function3 to be "converted" to simple strings so as  colnames(mymatrix)

Hi Folks, I'm comparing some output from R with output from SPSS. The coefficients of the independent variables (which are all factors, each at 2 levels) are identical. However, R's Intercept (using default contr.treatment) differs from SPSS's 'constant'. It seems that the contrasts were set in SPSS using /CONTRAST (varname)=Simple(1) I can get R's Intercept to match

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Dear List, I recently got the chance to interview Jon Peck of SPSS Inc, a pioneering technical statistician working since 1983 (when there were only two substantial statistical software companies as per him ;) (not anymore ;) and currently he is a Principal Software Engineer and Technical Advisor at SPSS. Jon talks of SPSS Inc's involvement with the Open Source, of scripting languages

I write about R every weekday at the Revolutions blog: http://blog.revolution-computing.com In case you missed them, here are some articles from last month of particular interest to R users. http://bit.ly/2HPlOe announced a directory of R user groups available on the Revolutions blog. http://bit.ly/12u7e7 noted that the Society of Actuaries promotes R with a regular column. http://bit.ly/Kh8eL