similar to: Hi

Please I am new to R. I got the following code from a friend:   gmat <- cbind(gmat,p*(1-p)*wxb) for (j in seq(1:ncol(gmat))) {   gmat[,j] <- fitted(lm(gmat[,j]~zmat)) }   It is for spatial logit.   After defining all the matrices in it such as P, wxb, gmat, and zmat, I tried to run it in R and got the following error message: Error in model.frame.default(formula = gmat[, j] ~ zmat,

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I am trying to write the following code in R. The code works in S+ and i am trying to do the program in R. x=discrim(admit~gpa+gmat,prior=c("uniform"),data=data.mm) i wrote the following in R: x=lda(admit~gpa+gmat,data=data.mm) i could not figure out how to write prior=c("uniform") in R. I would get an error every time. I think that it has something to do with

I am having a problem with the package SSPIR. The code below illustrates it. I keep getting the message: "Error in y - f : non-conformable arrays." I tried to tweak the code below in many different ways, for example, substituting rbind for cbind, and sometimes I get a different error message, but I could not find a variation of this code that would work. Any help will be greatly

Dear Amy, I have the same question as Mark. Is it possible to work from abroad - remotely? Best regards, Martins On 6 January 2015 at 19:32, Mark LoPresti <marklopresti at yahoo.com> wrote: > Hi Amy, > > one key question: can this position work remotely? > Thank you, > Mark LoPresti > From: "Heyman, Amy (ESS)" <Amy.Heyman at fao.org> > To:

Hello. Can anyone please take a second to help me out with this problem? I try to run Longman iBT 2.0 Toefl with the last version of Wine / Lubuntu / FGLRX (video driver for ATI HD 4330 ) / Java. I have the last version of all these... As you can see, the program runs but some items are not displayed or wrong displayed. Moving the pointer or moving the window can make the image better or worse.

I'm having speed problems with the SCSI card we're using to do tape backup. It seems to be functioning in 16 bit mode and the current thinking is that perhaps it's using a legacy driver instead of the correct one. The Adaptec site has a 'driver' for RHEL5 which I've downloaded and tried to install but it seems to have a problem installing on a CentOS-5 system. [root at

Hi, is there a way to analyze subpopulations (e.g. women over 50, those who answered "yes" to a particular question) in a survey using Survey package? Other packages (e.g. Stata, SUDAAN) do this with a subpopulation option to identify the subpopulation for which the analysis shoud be done. I did not see this option in the Survey package. Is there another way to do this?

I have learned a lot from this list. I would like to thank the developers and contributors who devote so much of their time to this project. Does anyone know if any methods have been developed for handling data from complex sample surveys that include sample weights, clusters, strata, and so on? I know that SUDAAN, Stata have some abilities. Does anything exist in R/S? Paul E. Green

Hey All, I downloaded winebottler so that I can run the GMAT Prep software and was successful in downloading it but i am now running into a few problems. For examples, if there is a "next" icon on the window, I will need to click on it and hit the space bar simultaneously to move on to the next page. I was able to do this on the writing assessment section of the practice test but on the

Greetings, I have a technical question about update_va_mapping_otherdomain....... I have two components: a C program linked against libxc and a kernel module which performs the following simple sequence of events from domain zero: 1. Pause guest (unprivileged) 2. Grabs the PTE associated with a random (but present) page within the guest''s kernel''s address space (using a

Running R 2.13.1 on Windows XP. I would like to get week of the year (1-52) for each date. library(chron) dts <- dates(c("02/27/92", "02/27/92", "01/14/92","02/28/92", "02/01/92")) dts dts.chron <- as.chron(dts) dts.chron class(dts.chron) # all of these component extractions work: months(dts.chron) weekdays(dts.chron) years(dts.chron)

How would I color points conditional on their value in a plot of a time series. Something like this: ## demonstration data ttt <- ts(rpois(12, lambda = 8), start = c(2000, 1), freq = 4) ttt plot(ttt, type = "p") ## doesn't work--all points the same color plot(ttt, type = "p", col = ifelse(ttt < 8, "black", "red")) ## also doesn't work--all

Hi all, Again I have searched the net and so on, without finding an answer to this surely simple problem. A short bit of code would be appreciated. I have a object named `data' with the following column headings. Date, maxitemp, minitemp, admissions, d.o.w. Where d.o.w. is day of the week, written "Sun" "Mon" etc. I just need to scale the Monday admissions by

I'm trying to fit a Cox proportional hazards model to some hospital admission data. About 25% of the patients have had at least one admission, and of these, 40% have had two admissions within the 12 month period of the study. Each patients has had one of 4 treatments, and one of the treatment groups has had no admissions for the period. I used:

Hello, I have a general help question that some of you might be able able to help. I would like to design a study (a two group comparison) based on reduction on events(say hospital admissions). In a previous study hospital admission rate of 140 admissions per 72 patients (over a 4 month period) has been observed. That is rate is about 1.9. In order to see the admission rate reduction of 50% over

Excellent! Worked like a charm. Thanks. --Chris Ryan On Tue, May 1, 2018 at 4:33 PM, William Dunlap <wdunlap at tibco.com> wrote: > The ts method for plot() is quirky. You can use the default method: > > plot(as.vector(time(ttt)), as.vector(ttt), type = "p", col=ifelse(ttt<8, > "black", "red")) > > > Bill Dunlap > TIBCO Software

Hello, As a new user of R (less than a month) I have got my hands on several books and am pouting through the net looking for help in gaining understanding of this powerful tool. I am becoming more proficient with using basic functions to conduct basic statistics. I am now looking to learn how to write code. After a few small worthless functions I decided to try to create a function that was

I am trying to age standardize using the svystandardize package in R. I have successfully managed to hit my SUDAAN based targets for estimates by sex, but not the total. The total is only a little different, but I'd like some help knowing why it isn't exact. I've included the SUDAAN code that generates the targets and my R script (and output) that I have so far. I can't supply the

Is there a way to automate fitting and assessing loglinear models for several nominal variables . . . something akin to step or drop1 or add1 for linear or logistic regression? Thanks. --Chris -- Christopher W. Ryan, MD SUNY Upstate Medical University Clinical Campus at Binghamton 40 Arch Street, Johnson City, NY 13790 cryanatbinghamtondotedu "If you want to build a ship, don't drum