Re: [R] The elegant way to test if a number is a whole number

Hello Alex, Have you tried the modulus operator? > 2 %% 1 [1] 0 > 2.1 %% 1 [1] 0.1 ~Jason On 2011.09.08 20:27:14, Alexander Engelhardt wrote: > Hi, > > x <- 0.2*5 > is.integer(x) > > gives me FALSE because R stores it as a float number, right? > Is there an elegant way to work aroun

Re: [R] random interaction effect in lmer

Hello Federico, You should try sending this to the mixed models mailing list (link below). Also, it would probably help to know what the data looks like. With the information you provide, it's hard to say what the problem could be. r-sig-mixed-mod...@r-project.org Best, ~Jason On 2011.02.06, Fe

Re: [R] Building correlation matrix

On 2010.05.25 11:52:07, Anyi Zhu wrote: > Hi, > > I am a novice with R, so pardon me if the question is a piece of cake > to some of you. > > Say if I have a stream of data consisting of 3 columns, 1st column is > birth date, 2nd is death date and third is weight for each individual. > > My ulti

Re: [R] functions sample() and S.SI()

On 2010.05.11 18:30:57, Lourdes Molera wrote: > Hello, > I need to select a sample from a small population using simple random > sampling without replacement. I've found two possibilities in R, the > function sample() and the function S.SI() in the package > TeachingSampling, but I don't know wh

Re: [R] Sata and R users GLM methods translation

Hello Jean-Baptiste, On 2010.01.22 16:32:53, Jean-Baptiste Combes wrote: > Hello, > > I am learning R and I am fluent in Stata and I try to translate part of my > Stata code to R to check the reliability of the data under R. I have a > proportion variable as a dependent variable pQSfteHT . Indepe

Re: [R] lattice, add text to xyplot

On 2010.01.08 19:44:39, Ivan Gregoretti wrote: > Hello listers, > > Does anybody know how to add text to an xyplot without whipping out > the existing curve? > That's all. > > For instance, > > Lets say you generate a graph like this > > A <- data.frame(x = rnorm(100), y = rnorm(100)) > xyplot(

Re: [R] plotting polynomial regression line

Hello Amit, On 2009.12.20 19:35:09, Amit wrote: > Dear All, > I am trying to plot polynomial regression line to a scatterplot. I did > following so far: > > >x=c(1:9335) > >y=read.table("gp.txt",header=T,sep="\t") > > length(y$PCC) # y$PCC has values between 1 to 0 in decreasing order > [1] 9335

Re: [R] as.Date question

Hello, On 2009.12.20 18:06:17, MAL wrote: > All! > > This piece of code: > > zzz1 <- as.POSIXct("1999-03-18", tz="CET") > zzz2 <- as.POSIXlt("1999-03-18", tz="CET") > zzz1 == zzz2 > as.Date(zzz1) > as.Date(zzz2) > > yields TRUE for "zzz1==zzz2", but the two dates returned by as.Date are > diff

Re: [R] read dataset in R language.

Hello Nancy, I think you will need to provide more information if you hope to get useful advice from the list. For an idea of what should be sent, see the posting guide: http://www.R-project.org/posting-guide.html At a minimum, I suggest sending the code you are executing and a sample of the dat

Re: [R] Incorporating the results of White's HCCM into a linear regression:

On 2009.12.03 23:52:15, Yoseph Zuback wrote: > Hi Frank, > > I'm trying to repair heteroscedastic variables using the hccm. A > statistician in my department gave an incomplete solution that included: > > > OLS1$coefficients/(sqrt(hccm(OLS1))) > > Trying to solve my problem I get different resu

Re: [R] Data Manipulation Question

Please refrain from posting HTML. The results can be incomprehensible: On 2009.12.03 13:52:09, John Filben wrote: > Can R support data manipulation programming that is available in the SAS > datastep??? Specifically, can R support the following: > -?? Read multiple dataset one rec

Re: [R] R on Large Data Sets (again)

On 2009.11.29 14:24:40, Prof Brian Ripley wrote: > >> Windows 64-bit can certainly handle large memory spaces, but unless > >> something has changed recently it my understanding Revolution > >> Computing's 64-bit is the only 64-bit version of R available for > >> Windows (due to the unavailability

Re: [R] R on Large Data Sets (again)

On 2009.11.28 21:50:09, Daniel Nordlund wrote: > > > - Is a Unix-like platform a better option than win-64? Again, would > > > this solve my memory limitation problems? > > > > Possibly, but Win64 should provide plenty of memory (I believe Windows 7 > > Ultimate can use up to 192 GB of memory). Yo

Re: [R] R on Large Data Sets (again)

Hello Lars, On 2009.11.28 18:53:09, Lars Bishop wrote: > Dear R users, > > I?ve search the R site for help on this topic but it is hard to find a > precise answer for my questions. > > Which are the best options to overcome the RAM memory limitation problems > when using R on ?large? data sets (

Re: [R] Multivariate problems . . . with 200 resposes variables and 1 explanatory variable

Please see the posting guide here: http://www.r-project.org/posting-guide.html In short, it would be helpful if you provided more information on your data and what the goal of your analysis is. However, to get you started, see the polr() function in the MASS package. Depending on your goal/data,

Re: [R] linear mixed model question

Hello Wen: On 2009.09.06 10:49:03, Wen Huang wrote: > Hello, > > I wanted to fit a linear mixed model to a data that is similar in > terms of design to the 'Machines' data in 'nlme' package except that > each worker (with triplicates) only operates one machine. I created a > subset of obser

Re: [R] run R codes every startup.

On 2009.08.16 15:59:15, milton ruser wrote: > Dear all, > > how can I setup R(gui) to run some commands evertime R startup? > > cheers > > milton You'll want to read: help(Startup) HTH, ~Jason -- Jason W. Morgan Graduate Student Department of Political Science *The Ohio State University* 154

Re: [R] lme funcion in R

On 2009.08.03 10:15:46, Hongwei Dong wrote: > Hi, R users, > I'm using the "lme" function in R to estimate a 2 level mixed effects > model, in which the size of the subject groups are different. It turned out > that It takes forever for R to converge. I also tried the same thing in SPSS > and SPS

Re: [R] error ellipse

On 2009.06.20 16:04:21, Alexandru T Codilean wrote: > > Dear All, > > I have a data set with the following structure: > > [A], [a], [B], [b] > > where [A] and [B] are measurements and [a] and [b] are the associated > uncertainties. I produce [B]/[A] vs. [A] plots in R and would like to > sh

Re: [R] correlation between categorical data

On 2009.06.19 14:04:59, Michael wrote: > Hi all, > > In a data-frame, I have two columns of data that are categorical. > > How do I form some sort of measure of correlation between these two columns? > > For numerical data, I just need to regress one to the other, or do > some pairs plot. > > B

Re: [R] Dummy (factor) based on a pair of variables

On 2009.04.18 15:58:30, Jason Morgan wrote: > On 2009.04.18 13:52:35, Serguei Kaniovski wrote: > > I can generate the above dummies but can this design be imputed in a > > reg. model directly? Oops, I apologize for not reading the whole question. Can you do the following: lm(y

Re: [R] Dummy (factor) based on a pair of variables

On 2009.04.18 13:52:35, Serguei Kaniovski wrote: > Bernardo: this is not quite what I am looking for, > > Let the data be: > y,i,j > 1,AUT,BEL > 2,AUT,GER > 3,BEL,GER > > then the dummies sould look like: > > y,i,j,d_AUT,d_BEL,d_GER > 1,AUT,BEL,1,1,0 > 2,AUT,GER,1,0,1 > 3,BEL,GER,0,1,1 > > I ca

Re: [R] The R Inferno

read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. -- ~ Jason Morgan __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.