similar to: Reading txt file in R

> I am using a random intercept model with SITEID as random and NAUSEA as > outcome. > > I tried using a dataset without missing values and changed my model > statement accordingly but still get the same error. Follwoing in an excerpt. > > anal.data <- read.table("nausea.txt", header=T, sep="\t") > > list(names(anal.data)) > [[1]] > [1]

I am using a random intercept model with SITEID as random and NAUSEA as outcome. Thanks. Anamika I tried using a dataset without missing values and changed my model statement accordingly but still get the same error. Follwoing in an excerpt. > anal.data <- read.table("nausea.txt", header=T, sep="\t") > list(names(anal.data)) [[1]] [1] "SITEID"

Hello r-devel, I have data.frame with 3 columns and I would like to group by 1 column(id), find the max of the third column (date) and return the data for that max date value along with the id and the value in the second column. Example: >dat <- data.frame(id = rep(1:3, 3), date = as.Date(rep(c("2005-08-25", "2005-08-26", "2005-08-29"), each = 3)), decod =

Hi everybody I have a large number of Excel speadsheets that I want to merge into one R dataframe to process. I can read them one by one with read.xls but I really need a function to read a whole directory at once and merge the columns with the same name into a single dataframe. here is what I have thus far (on Mac OS X 10.5.2. for R 2.8.0): # Define the directory where the data is

Dear R users - I have a list of patient identifiers and diagnoses from inpatient admissions. I would like to reorganize the list, presently in a long format to a wide format in reshape, but in the absence of a "time" element, I am uncertain how to do this - any help greatly appreciated. ID Dx A nausea A diabetes A kidney failure A heart attack A fever B fever B

R-experts: I would like to explore the partial proportional odds models of Peterson and Harrell (Applied Statistics 1990, 39(2): 205-217) for a dataset that I am analyzing. I have not been able to locate a R package that implements these models. Is anyone aware of existing R functions, packages, etc... that might be used to implement the partial proportional odds models? Brant Inman

Hi All: I had a basic question to ask. I am running R2WinBUGS so that I could automate the running of my model using 1000 simulated datasets. Below is the code I am using. The only problem I am having is the bugs output that comes out shows my parameters as nos with 1 decimal place after. I would want to have the parameters with 5 places after decimal. How would I specify that in my code for

Dear all, I am trying to use the logistic regression with MCMClogit (package: MCMCpack/Coda) and I want to put a beta prior on the parameters, but it's giving me error message (please see output below) no matter what shape 1 or 2 I use. It works perfect with the cauchy or normal priors. Do you know if there is a catch there somewhere? Thanks logpriorfun <- function(beta,shape1,shape2){

I have the model below, for which I run a logistic regression including the interaction term (NSAID*Diuretic) ------------------------ fit1=glm(resp ~ nsaid+diuretic+I(nsaid*diuretic), family= binomial,data=w) NSAID Diuretic Present Absent 0 0 185 6527 0 1 53 1444 1 0 42 1293 1 1 25 253 Coefficients Std. Error z value Pr(>|z|) (Intercept) -3.56335 0.07456 -47.794 < 2e-16 ***

Trevor, Thanks for your reply. That doesnot help Any other suggestions? Anamika On Tue, Aug 10, 2010 at 11:58 AM, Trevor Davies <tdavies@mathstat.dal.ca>wrote: > I think you need to load is R2WinBUGS again. > > require(R2WinBUGS) > > Trevor > > > Hi All: > > > > I am getting an error while trying to plot in R2Winbugs > > > > *Error in

Hi All: I am trying to generate Beta-Binomial data with regressors using R. I have used the following code to generate Beta-Binomial data. Now I want to add a covariate to the equation. I would then like to use the simulated data to run the Beta-Binomial model with covariates on it. Appreciate any help. set.seed(111) k<-20 n<-60 x<-NULL p<-rbeta(k,3,3)# so that the mean nausea rate

Hi: I have asked this question on Cross-Validated. So it might be a cross posting but havent received any responses to it. I am trying to see which distribution will best fit the data I am working on. The dataset is as following: Site Nausea headache Abdominal Distension 1 17 5 10 2 12

HI All: Does anyone know the code behind the qbeta function in R? I am using it to calculate exact confidence intervals and I am getting 'NaN' at places I shouldnt be. Heres the simple code I am using: k<-3 > x<-NULL > p<-rbeta(k,3,3)# so that the mean nausea rate is alpha/(alpha+beta) > min<-10 > max<-60 > n<-as.integer(runif(3,min,max)) > for(i in

Hi there, I am using JRClient to build logistic regression model in the following manner : Rconnection c = new Rconnection(); c.eval("KSN<-read.table(\"/Users/amine/Documents/Research/ Tools/R/D2R1.txt\",header=T,sep=\",\")"); c.eval("result <- glm(Nausea ~ Kaletra*Sustiva, family = binomial(link = logit), data =KSN)");

I've looked everywhere and tinkered for three days now, so I figure asking might be good. So here's a general rundown of what I am trying to get my code to do I am giving you the whole rundown because I need a solution that retain certain ways of doing things because they give me the information i need. I want to examine the effect of increasing my sampling interval on my data. Example:

Hi, Any problems with erejction? try VIjAGRA - http://www.porutagundes.com only from the soles of my boots. The blood rushed to my head-as well it might bringing with it a surge of nausea and a sensation of great unease.

Hello ... >From the icecast website (www.icecast.com) i found the following info > (i copy-pasted it): { Note that icecast-1 is deprecated and unsupported, and may possibly induce nausea in small children, hair loss in men, and estrogen fluctuations in women. If, for some reason, you absolutely must have ancient versions of icecast (possibly for historic preservation), download icecast

Yes, I know this is lame, but my location limits me to using a dial-up ISP. I am running asterisk with a T100P and a TDM400 card. I currently have dial-on-demand setup on the same box, using diald and an external modem. To prevent DOD from trying to dial out during an external call, I have an AGI script kill diald before initiating a call, and then restart it at the end of the call by looking

Hi, My application has a table of People that has information about them, and I want to have a subset of those people as Users - people that can login to the application. What is the best way to do this? Add columns to People that only Users would use? I''ve read the threads on single table inheritance, but it seemed a little bit wasteful: 10,000 people vs 50 users For those more

Hi to all, Here is a question which I cannot solve. Appreciate so much for any suggestions! I have a squared region which is irregularly divided into many rectangular patches. Each patch is associated with a value, and two patches possibly share a common value. I hope to fill in each patch a pattern according to its value. For instance, if a patch has value 1, then I fill in that patch