similar to: weight

Hi, How are you? I have a quick question.... I have code that works perfectly with R desktop, but does not work with RWeb. Could you please tell me how to modify the code below so it will work with RWeb? #Read in txt file happyguys<-read.table("c:/test8.txt", header=TRUE, row.names=1) #Subset the txt file to only include certain values test<-subset(happyguys, GRADE == 7

Hi, i am trying to read a .txt file, do a couple of select if statements on my data, and then finally use the ?table function to get frequency counts on the data. Specifically, i am looking at answering the following question: What is the frequency of Grade 7 students in the province of Alberta who are smokers? I am having some problems: 1)i cannot get the column names to show up when print

Hi, I got this working. i had to get rid of an underscore in one of my variable names to work on RWeb. Thanks for your help though!! Natalie __________________ I think you have to be either honest or careful, since the code you submitted to Rweb is different with your former code! Why the condition was changed from "test<-subset(X, GRADE == 7 & Y_Q10A < 9)" to

Hi, I've written code to extact a pumf file in R, subset it, and weight it like you would do in SPSS. My code is below & it works great. My question is: how do i then calculate the frequencies of smokers (1) versus non-smokers (2) after having weighted my file? or even the process that SPSS is going through to aggregate the data? Thanks, Nat Here is my code:

Thank-you Andy!!!!!! That works great now Nat __________________ I've run into this occasionally. My current solution is simply to read it into Excel, re-format the offending column(s) by unchecking the "thousand separator" box, and write it back out. Not exactly ideal to say the least. If anyone can provide a better solution in R, I'm all ears... Andy From: Natalie

Folks, I have a data frame with columns 200401, 200402, ..., 201207, 201208. These represent years/months. What would be the best way to sum these columns by year? What about by quarter? Thanks for your time, KW -- [[alternative HTML version deleted]]

Hi All: I came across the following problem while working with a dataset, and wondered if there could be a solution I sought here. My dataset consists of information on 402 individuals with the followng five variables (age,sex, status = a binary variable with levels "case" or "control", mma, dma). During data check, I found that in the raw data, the data entry

Hi, Can anyone tell me why I am not getting the correct intervals for fixed effect terms for the following generalized linear mixed model from HPDinterval: > sessionInfo() R version 2.4.1 (2006-12-18) i386-pc-mingw32 locale: LC_COLLATE=English_United States.1252;LC_CTYPE=English_United States.1252;LC_MONETARY=English_United States.1252;LC_NUMERIC=C;LC_TIME=English_United States.1252

Hello: Forgive me, this is surely a simple question but I can't figure it out, having consulted the help archives and "Data Manipulation With R" (Spector). I have a list of 11 data frames with one common variable in each (prov). I'd like to use lapply to go through and recode one particular level of that common variable. I can get the recode to work, but it only returns the

I believe that I have incorporated all of the feedback given (thanks!). Changes since the 2008-11-16 version include: - ksh style & coding standards compliance in test script (Roland) - "dof_init_debug == B_FALSE" vs. "!dof_init_debug" (Adam) The updated webrev is at: http://cr.opensolaris.org/~mgerdts/6750659-2008-12-03/ -- Mike Gerdts http://mgerdts.blogspot.com/

I've posted the following to R-help on May 15. It has reproducible R code for real data -- and a real (academic, i.e unpaid) consultion background. I'd be glad for some insight here, mainly not for myself. In the mean time, we've learned that it is to be expected for anova(*, "marginal") to be contrast dependent, but still are glad for advice if you have experience. Thank

Hi All, I *think* it's ddply because the function recognizes vr1, etc, in other parts of the function. Here's some code: # create dataset PROV.PM.FBCTS <- c(0.00 ,0.00, 33205.19, 25994.56, 23351.37, 26959.56 ,27632.58, 26076.24, 0.00, 0.00 , 6741.42, 18665.09 ,18129.59 ,21468.39 ,21294.60 ,22764.82, 26076.73) FBCTS.INV.TOT <- c(0 , 0, 958612, 487990, 413344, 573347,

Hi all, If the question below as been answered before I apologize for the posting. I would like to get the frequencies of occurrence of all values in a given variable in a multivariate dataset. In short for each variable (or field) a summary of values contained with in a value:frequency pair, there can be many such pairs for a given variable. I would like to do the same for several such variables.

Good Morning ??? I have a small question regarding the function subset. I am copying data from one table but I just want to collect data from a user. When do I take the view, presents the results I want. The problem arises when can I make the tab. for RES_ID, introduces me to zero results do not envision noVIEW val_user='16' x.sub <-

Hi, I am getting a warning message when I am fitting a generalized linear mixed model (m1.2 below). CHOLMOD warning: matrix not positive definite Error in objective(.par, ...) : Cholmod error `matrix not positive definite' at file:../Supernodal/t_cholmod_super_numeric.c, line 614 Any idea? Thanks for your help, Reza > sessionInfo() R version 2.4.1 (2006-12-18) i386-pc-mingw32

Hello list, Asterisk 1.6.16.1 I have the following registrations : register => 119909:passwd at sip.prov.org/52525252 register => 119909:passwd at sip.prov.org/59595959 [119909] type=friend host=sip.prov.org username=119909 defaultuser=119909 secret=passwd context=TRUNKin extensions.conf : [TRUNKin] exten => _52525252,1,NoOp(context TRUNKin - 52525252) exten =>

Dear all, I am interested in plotting maps visualizing spatial statistics in an aggregated fashion, according to administrative boundaries. More specifically, I have fitted a cross-section model on data regarding Italian "counties" (province, for Italian readers) and I would like to visualize residual behavior on a map, in order to have a first assessment of their spatial

Hi, I am trying to plot several rows out of a list of thousands. I have 40 columns, and about 16,000 rows with the following Df structure. ID X01 X02 X03..X40 AI456 45 64 23... AI943 14 3 45 .. AI278 78 12 68.. BW768 -2 -7 34.. ... My question is, I have a list of 100 IDs generated elsewhere (Df-"Ofinterest"), I would like to plot the 100 IDs from that data frame over the 40 columns

Dear list Is there a way to extract a random sample without duplicated row from a dataframe ?. a=c(1,2,3,1,1,1,2,1) b=c(1,2,3,1,2,1,2,1) c=c(1,1,1,1,1,1,1,1) d=c(1,2,3,1,1,1,2,1) prov<-data.frame(a,b,c,d) prov2<-prov[sample(1:nrow(prov),5,replace=T),] prov2 a b c d 3 3 3 1 3 6 1 1 1 1 3.1 3 3 1 3 5 1 2 1 1 8 1 1 1 1 I tryed the above code but as you can see sample function

Hi there I'm trying to fit a logistic regression model to data that looks very similar to the data in the sample below. I don't understand why I'm getting this error; none of the data are proportional and the weights are numeric values. Should I be concerned about the warning about non-integer successes in my binomial glm? If I should be, how do I go about addressing it? I'm