similar to: PL/R calls fail

Hello list, I've been trying to get the PostgreSQL PL/R library to compile on windows (http://www.joeconway.com/plr/). The author of this library says the problem is likely because the distributed R.dll isn't compiled as a shared dll. Is this the case? If so, is there any way to compile it such that it is shared? If that's not the case, than maybe someone on this list has a better

Hello, I've been using R embedded in PL/R (R procedural language handler for PostgreSQL, http://www.joeconway.com/plr/) very successfully for several months now. A sincere "thank you" goes to the R development team for such a great product. I have a question I'm hoping someone here can help me with. In order to get the required functionality out of PL/R, I've had to

Dear all, i am trying to get PL / R running on Mac OS X. PostgreSQL is already running and connects just smoothly to R via DBI / RPostgreSQL . Despite finding a couple of posts of people with the same problem (i.e. error message) i could not get it done for me. I use Mac OS 10.5.7 and PostgreSQL 8.3.7 as well as R 2.9.2 I put the untared plr to my /Library/Frameworks/R.framework/Resources/

Dear all, I am currently trying to link R 2.1.0 to the GOTO BLAS 0.99.3 library on a box running Fedora Core 3 , basically following the steps indicated in the R-Admin document: 1: I downloaded the current libgoto.xxx.so from http://www.cs.utexas.edu/users/kgoto/libraries/libgoto_prescott-32-r0.99-3.so.gz, a version suitable for our XEON machine (Nocona core), unpacked it to /usr/lib and created

Folks, i thought it should be straightforward but after a few hours poking around, I decided it's best to post my question on this list. I have a data frame consisting of a (large) number of date columns, which are read in from a csv file as character string. I want to convert them to Date type. Following is an example, where the first column is of integer type, while the rest are type

Hello, I've been struggling with a problem for the past several weeks, trying to get PL/R (R procedural language handler for PostgreSQL, http://www.joeconway.com/plr/) to work on Red Hat 9. In brief, R dumps core during the embedded library initialization, while in Rf_regcomp(), working on on Rprofile. Below I've included the important parts of a backtrace: Program received signal

I am looking at a data set containing two variables (x,y), each of which represents relative frequencies (rounded): data.frame(x = c(0.1,0.6,0.2,0.1), y = c(0.5,0.2,0.2,0.1)) x y 1 0.1 0.5 2 0.6 0.2 3 0.2 0.2 4 0.1 0.1 each of the rows reflects a "relation" between x and y, for example in row 4: 10% of the observations in x account for 10% of the observations in y. I

In Venables \& Ripley 3rd edition (p. 231) the proportional odds model is described as: logit(p<=k) = zeta_k + eta but polr apparently thinks there is a minus in front of eta, as is apprent below. Is this a bug og a feature I have overlooked? Here is the naked code for reproduction, below the results. ------------------------------------------------------------------------ --- version

I'm sorry if this is too off-topic--feel free to ignore. I am interested in using pl/R, an amazing "plugin" for the postgresql database. As is typical of these types of applications, pl/R needs to link against a shared library. However, it appears that the MacOS R binary does not build a static (.so) shared library. Is there an accepted, general way (read, a way that works)

I'm sorry if this is too off-topic--feel free to ignore. I am interested in using pl/R, an amazing "plugin" for the postgresql database. As is typical of these types of applications, pl/R needs to link against a shared library. However, it appears that the MacOS R binary does not build a static (.so) shared library. Is there an accepted, general way (read, a way that works)

I am new to R, ordered logistic regression, and polr. The "Examples" section at the bottom of the help page for polr<http://stat.ethz.ch/R-manual/R-patched/library/MASS/html/polr.html>(that fits a logistic or probit regression model to an ordered factor response) shows options(contrasts = c("contr.treatment", "contr.poly")) house.plr <- polr(Sat ~ Infl +

Hi, I'm getting an error message using polr(): Error in optim(start, fmin, gmin, method = "BFGS", hessian = Hess, ...) : initial value in 'vmmin' is not finite The outcome variable is ordinal and factored, and the independant variable is continuous. I've checked the source code for both polr() and optim() and can't find any variable called

I'm not sure if this is the best subject line, and I apologize in advanced for the cross-posting, but I've been trying to get past a piece of code for two days now, and seem to have narrowed where a show stopping crash is occurring... I keep getting: psql:../sql/schedpak.sql:257: server closed the connection unexpectedly This probably means the server terminated abnormally before or

Hi - I am using polr. I can get a result from polr fit by calling result.plr <- polr(formula, data=mydata, method="probit"); However, from the 'result.plr', how can I access standard error of the estimated coefficients as well as the t statistics for each one of them? What I would like to do ultimately is to see which coefficients are not significant and try to refit the

I want to fit a multinomial model with logit link. For example let this matrix to be analyzed: male female aborted factor 10 12 1 1.2 14 14 4 1.3 15 12 3 1.4 (this is an example, not the true data which are far more complex...) I suppose the correct function to analyze these data is polr from MASS library. The data have been

Hi all, The nobs method of (MASS:::polr class) takes into account of weight, but nobs method of glm does not. I wonder what is the rationale of such design behind nobs.glm. Thanks in advance. Best Regards. > library(MASS) > house.plr <- polr(Sat ~ Infl + Type + Cont, weights = Freq, data = housing) > house.logit <- glm(I(Sat=='High') ~ Infl + Type + Cont, binomial,weights

Hi everyone, If I compute a "Ordered Logistic or Probit Regression" with the polr function from MASS package. the summary give me : coefficients, Standard error and Tvalue.. but not directly the p.value. I can compute "manualy" the Pvalue, but Is there a way to directly obtain the pa.value, and I wonder why the p.valeu is not directly calculated, is there a reason? exemple

Hi, I am trying to test the proportional-odds model using the "polr" function in the MASS library with the dataset of "housing" contained in the MASS book ("Sat" (factor: low, medium, high) is the dependent variable, "Infl" (low, medium, high), "Type" (tower, apartment, atrium, terrace) and "Cont" (low, high) are the predictor variables

How do I best migrate the data? For small databases I can text-edit the dump file from MySQL. The postgresql compatibility switch doesn''t help on mysqldump. Any ideas. Can MySQL export CSV that postgresql can import ? W Fred -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hi all, The problem is that when you try to use the function summary of a polr object in a function, it does not work. The problem is not related to the formula or the structure of data involved. It is probably related to the use of the function "vcov" in the code of summary for polr, and the iterative procedure to estimate the Hessian. Anyway, here there is an example extracted from