similar to: Fedora 1 RPM Packages

Hello, It has been a while since my last R Devel build, and now I'm running into an issue I'm not sure how to isolate. After updating to the latest SVN sources, and using: ---<--------------------cut here---------------start------------------->--- tools/rsync-recommended R_PAPERSIZE=letter \ R_BATCHSAVE="--no-save --no-restore" \ R_BROWSER=xdg-open \ LIBnn=lib \

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

Following the beginning tutorial, I typed help.start() and was given a choice of browsers. I picked chrome but got back that chrome is not found. I cannot seem to change or get rid of it now. I looked at /etc/R/Renviron but don't see anywhere to set browser (R_BROWSER = ${R_BROWSER ...etc) - nothing about chrome. I tried starting as "R_BROWSER= R" - same thing. How do I change the

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

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 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

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

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

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, 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

I have a student that I'm encouraging to use R rather than SAS or Stata and within just 2 weeks he has come up with a question that stumps me. What does a person do about endogeneity in generalized linear models? Suppose Y1 and Y2 are 5 category ordinal dependent variables. I see that MASS has polr for estimation of models like that, as long as they are independent. But what if the

On 4 February 2016 at 22:56, Sebastian P. Luque wrote: | Hello, | | It has been a while since my last R Devel build, and now I'm running | into an issue I'm not sure how to isolate. After updating to the latest | SVN sources, and using: | | ---<--------------------cut here---------------start------------------->--- | tools/rsync-recommended | R_PAPERSIZE=letter \ |

Hello, Until last weekend, I used to build R Devel smoothly with this switch (--enable-strict-barrier) on, but now it fails on my Debian system (found the culprit after posting on r-sig-debian). Configuring and building with: ---<--------------------cut here---------------start------------------->--- tools/rsync-recommended R_PAPERSIZE=letter \ R_BATCHSAVE="--no-save

Hi all, I am currently trying to create a development environment including PostgreSQL 8.0.0rc1, R 2.0.1 and PL/R on a system running Fedora Cora 1. So far, I have suceeded in setting up PostgreSQL and R as a shared library - unfortunately I have not been able to link these two spheres by adding the PostgreSQL add-on PL/R due to some mysterious probs. I thoroughly followed the setup

Hello everybody, I am trying to install the library stepplr under windows (http://www.maths.bris.ac.uk/R/web/packages/stepPlr/index.html), in order to use the function plr, but I still have problem to find the right link for this purpose! I am very thankful for your help! Samor

Hello, I'm verry new in R. My Problem: I have a PostgreSQL-Server with installed support for the R-Language. And now I have a table with a Polygon like this: test_db=# select * from geo where id=1; id | koerper ----+--------------------------------- 1 | ((0,0),(0,2),(2,2),(3,3),(5,0)) (1 row) Now, I need to know the area of this object. Please, can you tell me, if it

While I am not a novice when it comes to statistics, this will be the first time I have used R, apart from some intial play. I have normally written my own code for statistical analysis in C++ or fortran, for a number of reasons (in part contingent on what the boss was willing to pay for), and having been programming for a long time, there is no need to spare me the programming details.

Hi, I post this message to the general r-help list hoping anyone within a wider range have suggestions: There are three ways to integration R and postgres, especially on 64bit Microsoft windows Platform, 1. via RODBC package, which has 32 bit and 64 bit version for windows 2. via RPostgres interface, which only has 32bit version currently 3. via plr for Greenplum, which only supports a