similar to: Import ASCII data using a .sas program

Good Day All, I have a negative binomial model which I have developed using the MASS library. I now would like to develop some predictions from it. Running the predict.glm (stats library) using type="response" gives me a non-integer value which was rather puzzling. I would like to confirm that this is actually the mean predicted value of the probability mass function as opposed

Hi All, Could someone help me decode what this error means ? > BIC(nb.80) Error in log(attr(object, "nobs")) : Non-numeric argument to mathematical function > BTW, nb.80 is a negative binomial glm model created using the MASS library with the call at the bottom of the message In the hopes of trying to figure this out I tried the following workaround but it did not work

Hi All, I am working on some ordinal logistic regresssions using LRM in the Design package. My response variable has three categories (1,2,3) and after using the creating my model and using a call to predict some values and I wanted to use a simple .5 cut-off to classify my probabilities into the categories. I had two questions: a) first, I am having trouble directly accessing the

Good Day All, I am working on some xyplots using the Lattice Library. My X-axis is the date and I am reproducing charts similar to those found in the R Gallery (see here: http://www.sr.bham.ac.uk/~ajrs/R/gallery/plot_midday_weather_profiles.txt) However, the key difference is that some of my data is missing (not collected at that time). For instance, I might have a whole month that I do

Good Day All, I have a negative binomial model that I created using the function glm.nb() with the MASS library and I am performing a cross-validation using the function cv.glm() from the boot library. I am really interested in determining the performance of this model so I can have confidence (or not) when it might be applied elsewhere If I understand the cv.glm() procedure correctly, the

Dear folks ? I have a large (26 gig) ASCII flat file in fixed-width format with about 10 million observations of roughly 400 variables. (It is 51 years of Current Population Survey micro data from IPUMS, roughly half the fields for each record). The file was produced by automatic process in response to a data request of mine. The file is not accompanied by a human-readable file giving the

Hi all, Looking at the IO.readlines source in io.c, it looks to me like they grab 8k chunks, split on the input record separator, and buffer accordingly. Since it looks like ReadFileScatter() does some of that work automatically (in page file sized chunks), I thought I''d give it a try. Here''s what I''ve got, but it doesn''t work. I have an incorrect parameter

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R 2.15.1 OS 10.7 Colleagues I have been an enthusiastic user of the sas7bdat package in R. However, several recent sas7bdat files sent to me from different sources cannot be read by the package. The error message is: Error in read.sas7bdat(FILENAME) : unknown host W32_7PRO please report bugs to sas7bdatRbugs at gmail.com I examined the file with a text editor and it contains

Dear R-devel, I've made some potential extensions to writeForeignSAS in 'foreign' that I wanted to pass along if anyone is interested. I've attached the diff -u output against the version found in foreign_0.8-15 and an .R file with my changes. (In this .R file, the function is named writeForeignSAS7 to simplify testing/comparisons.) I've tried to alter the current

I have written some programs in Common Lisp and I have been using SAS to pipe those programs to my lisp compiler in batch mode by using the %xlog and %xlst SAS commands. I wonder if there is in R a similar way to pipe commands to LISP so that all my work would be concentrated in R even when I have to call a LISP program? I have looked at the foreign library but this seems to adjust data types not

I am trying to reproduce some old SAS PROC MIXED code using R and nlme. The data consists of emission readings from vehicles and fuel properties. All variables are real numbers except "study" and "vehicle", which are character. Unfortunately, since the data are confidential, I'm unable to provide an example. The original SAS v6.12 code is provided below:

Dear Dennis, Your question assumes that people know both SAS PROC MIXED and R nlme. Only a limited number of people do. Add the mathematical formulation of the model. That will increase the number of people that can help you. Adding the number of levels in each categorical variable and the number of observation per group is useful too. Best regards, ir. Thierry Onkelinx Instituut voor natuur-

CRAN (and crantastic) updates this week New packages ------------ * EffectStars (1.0) Maintainer: Unknown Author(s): Gunther Schauberger License: GPL-2 http://crantastic.org/packages/EffectStars The package provides functions to visualize regression models with categorical response. The effects of the covariates are plotted with star plots in order to allow for an optical

Good day My name is Jos? Oscar, I'm from Mexico and I have some questions about foreign in your write.foreig( ) function. We know that this function generates the inputs to be able to run them or execute them in another program like SPSS, SAS or Stata. In these cases, when creating an example file, a matrix and using the function to execute the .sps file directly from SPSS, I don't care or

I write about R every weekday at the Revolutions blog: http://blog.revolutionanalytics.com and every month I post a summary of articles from the previous month of particular interest to readers of r-help. In case you missed them, here are some articles related to R from the month of July: The Environmental Performance Index website uses R to rank countries by measures like environmental health

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 ============================================================================= FreeBSD-SA-06:23.openssl Security Advisory The FreeBSD Project Topic: Multiple problems in crypto(3) Category: contrib Module: openssl Announced: