similar to: problem with svyglm()

Hi As this '-R' command initially works fine I guess it must be a bug. I have to login at a computer which is hidden behind NAT. The user (joe) at the computer then connect to my server with the command: ssh -R 1234:localhost:22 test.com Then I login to test.com and connect back to joes computer: ssh -p 1234 localhost I get successfull connection every time but after a few

I am having trouble printing a table out to the GUI display when the table is created and printed within a loop. I get a "Error: syntax error message" If I comment out the print statement, the loop runs fine and I can print out the last iteration of the table. ...[multiple loops and calculations ending with.....]... +

Hi all, (if me email goes out as html, than my email client don't do as told, and I apologies already.) We need to downscale climate data and therefore first need to expand the climate from 0.5deg to the higher resolution 10min, before we can add high resolution deviations. We basically need to have the original data at each gridcell replicated into 3x3 gridcells. A simple for loop can do

You probably ought to be using the raster package. See the CRAN Spatial Task View. -- Sent from my phone. Please excuse my brevity. On July 5, 2017 12:20:28 AM PDT, "Anthoni, Peter (IMK)" <peter.anthoni at kit.edu> wrote: >Hi all, >(if me email goes out as html, than my email client don't do as told, >and I apologies already.) > >We need to downscale climate

...well, I don't think this is exactly the expected result (see my post) to be noted that the columns affected should be "A" and "B" thanks for the help max ----- Messaggio originale ----- Da: "Rui Barradas" <ruipbarradas at sapo.pt> A: "Massimo Bressan" <massimo.bressan at arpa.veneto.it>, "r-help" <r-help at

> -----Original Message----- > From: William Dunlap > Sent: Tuesday, November 25, 2008 9:16 AM > To: 'johannes_graumann at web.de' > Subject: Re: [R] Efficient passing through big data.frame and > modifying select fields > > > Johannes Graumann johannes_graumann at web.de > > Tue Nov 25 15:16:01 CET 2008 > > > > Hi all, > > > >

Hello, Try the following. icol <- which(grepl("flag", names(mydf))) mydf[icol] <- lapply(mydf[icol], function(x){ is.na(x) <- x == 0 x }) mydf # A A_flag B B_flag #1 8 10 5 12 #2 7 NA 6 9 #3 10 1 2 NA #4 1 NA 1 5 #5 5 2 0 NA Hope this helps, Rui Barradas On 11/22/2017 10:34 AM, Massimo Bressan

(sort-of xposted from linux-kernel) Hi, I am wondering how to interpret this error message, which popped up on a 2.4.26 SMP x86 box two days ago: EXT2-fs: corrupt root inode, run e2fsck init_special_inode: bogus imode (37316) EXT2-fs: corrupt root inode, run e2fsck init_special_inode: bogus imode (37316) EXT2-fs: corrupt root inode, run e2fsck The problem is, the error message doesn't

Hi Peter, apply(t(apply(mm,1,rep,each=3)),2,rep,each=3) Jim On Wed, Jul 5, 2017 at 5:20 PM, Anthoni, Peter (IMK) <peter.anthoni at kit.edu> wrote: > Hi all, > (if me email goes out as html, than my email client don't do as told, and I apologies already.) > > We need to downscale climate data and therefore first need to expand the climate from 0.5deg to the higher

Given this data frame (a simplified, essential reproducible example) A<-c(8,7,10,1,5) A_flag<-c(10,0,1,0,2) B<-c(5,6,2,1,0) B_flag<-c(12,9,0,5,0) mydf<-data.frame(A, A_flag, B, B_flag) # this is my initial df mydf I want to get to this final situation i<-which(mydf$A_flag==0) mydf$A[i]<-NA ii<-which(mydf$B_flag==0) mydf$B[ii]<-NA

I believe you need to spend time with an R tutorial or two: a data frame (presumably the "table" data structure you describe) can *not* contain "blanks" -- all columns must be the same length, which means NA's are filled in as needed. Also, 8e^5 * 7e^4 = 5.6e^10, which almost certainly will not fit into any local version of R (maybe it would in some server version --

Dear List, I have been trying to extract associations from a matrix whereby individual locations are within a certain distance threshold from one another. I have been able to extract those individuals where there is 'no interaction' (i.e. where these individuals are not within a specified distance threshold from another individual) and give these individuals a unique Group ID containing

Hello, I am trying to create multiple scatter plot graphs. I have 1 independent variable (Age - weeks post conception) and 18 dependent variables ("Gene n" Expression) in one csv file. Is there a way to set up a looped function to produce 18 individual scatterplots? At the moment, I am writing the plot() function out 18 times to make the 18 graphs. My code is below and csv file is

Hi All I have a datafram which looks like this : CustomerID DietType 1 a 1 c 1 b 2 f 2 a 3 j 4 c 4 c 4 f And I would like to reshape this so I can

Hi. I'm still facing troubles on my way. This time concerning ssl encryption. only dovecot-auth starts... imap and pop3 go down with this log dovecot: Mar 23 18:34:19 Info: Dovecot v1.0.rc27 starting up dovecot: Mar 23 18:34:20 Error: Temporary failure in creating login processes, slowing down for now dovecot: Mar 23 18:34:20 Error: imap-login: Can't load certificate file

Hi, I have a problem with the predict function of svyglm: When I try to predict with an object of svyglm I get the error message that R can't allocate a vector about 3 GB big. Has anybody a hint how I can reduce the memory used for this? I have about 25000 observation and use the weigths parameter. Where is so much data created? Thanks, Werner

summary(result) Call: svyglm(Injury ~ seat, sD, family = quasibinomial(link = "logit")) Survey design: svydesign(~1, prob = NULL, strata = Data[, 1], weights = Data[, 4], data = Data, fpc = ~fPc) Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -4.256875 0.001421 -2996.7 <2e-16 *** seatbad 0.681504 0.001689 403.4 <2e-16 *** ---

I have this problem. test <- svydesign(id=~1,weights=~peso) logit <- svyglm(bach ~ job2 + mujer + egp4 + programa + delay + mdeo + str + evprivate, family=binomial,design=test) then appear: Error in svyglm.survey.design(bach ~ job2 + mujer + egp4 + programa + : all variables must be in design= argument I don't know what this mean... Please help. Pablo. [[alternative HTML

Dear list, I am using svyglm in the survey library to fit a binomial logistic regression accounting for sample design. The documentation says the models are not fit by maximum likelihood, so my question is what is the fitting method? Pseudo likelihood? Generalized least squares? Thanks for any insight. Best, Corey Corey Sparks Assistant Professor Department of Demography and

Howdy, Referencing the below exchange: https://stat.ethz.ch/pipermail/r-help/2006-April/103862.html I am still getting the same warning ("non-integer #successes in a binomial glm!") when using svyglm:::survey. Using the API data: library(survey) data(api) #stratified sample dstrat<-svydesign(id=~1,strata=~stype, weights=~pw, data=apistrat, fpc=~fpc)