similar to: R: weighting observations

Dear R users, I wonder how to weight observationswhen computing statistics and creating tables (e.g. of counts) I'm used to the SPSS paradigm (WEIGHT by foo.) where any subsequent command will weight any variable ... Suppose that I want to compute a table of weighted counts: is the right R-approach to write a little custom function or it could be better to write a new class

Well, I think the better solution would be to put them on the web: I tried to open two web pages but I forget the possword every time :-(. I see 2 quick solutions: - send the files via e-mail - put the files on CRAN (where?); However I can do these in 2-3 days only (I have sources home). Regards, Federico Spinazzi spinazzi@databankgroup.it Databank S.P.A Via Spartaco, 19, ITALY Tel. + 39 02

It seems to work smoothly now. Thank you very much. Federico Spinazzi spinazzi@databankgroup.it Databank S.P.A Via Spartaco, 19, ITALY Tel. + 39 02 55002251 -----Messaggio originale----- Da: Prof Brian Ripley <ripley@stats.ox.ac.uk> A: Federico Spinazzi <spinazzi@databankgroup.it> Cc: R-devel@r-project.org <R-devel@r-project.org> Data: lunedì 27 novembre 2000 11.03 Oggetto:

I've just uploaded the files Thanks for your attention, Federico Spinazzi spinazzi@databankgroup.it Databank S.P.A Via Spartaco, 19, ITALY Tel. + 39 02 55002251 -----Messaggio originale----- Da: Kurt Hornik <Kurt.Hornik@ci.tuwien.ac.at> A: Federico Spinazzi <spinazzi@databankgroup.it> Cc: r-devel@stat.math.ethz.ch <r-devel@stat.math.ethz.ch> Data: lunedì 18 dicembre 2000

Under which version of R is it supposed to run ? With 1.1.0 under windows NT 4.0 against Access databases it doesn't work, I cannot get the name of the tables, every query I execute returns with "No Data". I'm surely doing something wrong ... Federico Spinazzi spinazzi@databankgroup.it Databank S.P.A Via Spartaco, 19, ITALY Tel. + 39 02 55002251 >Several of you have kindly

Hy you all, Short version: I think I have some code that could be interesting to make the R architecture evolve towards better thread support, easier memory management, better user interface programming (progress bar, logs), powerful debugging without recompiling (hach!) some years ago I start learning C with an ambitious project: write a C library for multivariate data analysis. On the route I

A trick I use is to give tab-delimited text files created by excel or R the .xls extension: this may apply, and it may be better, to CSV: R couldn't see any difference whichever the extension will be, and windows will be foolished by the .xls extension an will open the file with Excel that will handel it CORRECTLY. If you need to have the data always alligned in Excel and R this trick will

I recently set up a samba PDC 2.2.8 for testing purposes only. Everything runs well enough now. There is one thing I can't seem to get to work. I made a logon.bat logon script for sharing a share called 'databank' on T: and it works correctly, but trying to get the windows mount the home folder too results in no mounting. That is: no databank and no home folder (on T: and Y:). My

Gladly and with the help of this list, I have solved my previous problem with Samba as a PDC. My new and improved problem is with the ntusers.ini file. Which seems to be overwritten at each and every login. This creates a problem in that that file lists directories to be excluded and THAT list includes the Local Settings directory. In someone's infinite wisdom, they decided to also keep

-----Messaggio originale----- Da: Michael Camann <camann at babylon.cnrs.humboldt.edu> A: r-help at stat.math.ethz.ch <r-help at stat.math.ethz.ch> Data: marted? 22 agosto 2000 21.02 Oggetto: [R] various ordinations >Colleagues, > >I'm developing a library of functions for community ecology analyses and >have a couple of questions that I've not been able to answer

I'm looking for data to use with nonparametrics exploration technics. I'm a undergraduate student in statistics at the Unicamp (Brazil), and i've to make a project (with orientation of a professor). I choose nonparametrics statistics to make the project. But in this project i must have to use a databank and present analisys. So, if somebody give me indications where i can find

I posted this a week ago on r-devel but to no avail and hope this not considered cross-posting: ===============================cut=============================== hi everybody, which each release I hope that the section "weights: an optional numeric vector of (fixed) weights. When present, the objective function is weighted least squares. _not yet

Hi All, I have a problem with weighted logistic regression. I have a number of SNPs and a case/control scenario, but not all genotypes are as "guaranteed" as others, so I am using weights to downsample the importance of individuals whose genotype has been heavily "inferred". My data is quite big, but with a dummy example: > status <- c(1,1,1,0,0) > SNPs <-

Dear R-nlme expert We need two pieces of information about the fitting of a nlme model which we cannot extract from the R help files and would be most grateful if you could help us. We fit an energy allocation growth model with 4 parameters to individual growth curves using the nlme routine. We thus have repeated age and size measurements of individuals and therefore allow for random

Dear R-Help, I'm new to R and struggling with weighting data when I run regression. I've tried to use search to solve my problem but haven't found anything helpful so far. I (successfully) import data from SPSS (15) and try to run a linear regression on a subset of my data file where WEIGHT is the name of my weighting variable (numeric), e.g.: library(foreign)

The Toolkit for Weighting and Analysis of Nonequivalent Groups (twang 1.0) has been released to CRAN. The package collects functions useful for computing propensity score weights for treatment effect estimation, developing nonresponse weights, and diagnosing the quality of those weights. The package includes a vignette containing some basic theory and walks through two examples. It is available by

I am trying to run a mixed model logistic regression with participants nested within state with a certain amount of covariates. Here is what my model looks like: m1 <- lmer(Overweight ~ age + factor(A_RACE_G) + Prevalance + HH_Income_Dicot + Unemployment_Rate + Intensity_effect + (1 | state2) + GSD_EFFECT + FMA_EFFECT + BMI_EFFECT + DBS_EFFECT + NSM_EFFECT + NCF_EFFECT + ACF_EFFECT +

Hello all, I am very sorry I did not include xapian-devel mailing list in my previous mail. Thanks for responding my mail. Mohd Azeem NIT UK ________________________________ From: Olly Betts <olly at survex.com> To: Mohd Azeem <azeem201001 at yahoo.in> Cc: Parth Gupta <parthg.88 at gmail.com> Sent: Saturday, 31 March 2012 11:40 AM Subject: Re: GSoC, Xapian Project Weighting

I just uploaded two packages to CRAN. shapefiles_0.1.tar.gz - functions to read and write ESRI shapefiles (including dbfs) emme2_0.1.tar.gz - functions to read binary data from an EMME/2 databank data (EMME/2 is a transportation modeling program) Please let me know if you find any bugs or have some suggestions. Thanks. Regards, Benjamin Stabler Transportation Planning Analysis Unit Oregon

I'm about to add weights to a bus on-board survey dataset with ~150 variables and ~28,000 records. My intention is to weight (for each bus "run") by boarding stop and alighting stop. I've seen the Rake function of the Survey package, but it seems that converting to a "svydesign" might be excessive for my purpose. My dataset has a huge number of unique