similar to: aggregate similar to SPSS

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, Could someone please tell me how to perform a Mann-Whitney U test on a dataset with 2 groups where one group has more data values than another? I have split up my 2 groups into 2 columns in my .txt file i'm using with R. Here is the code i have so far... group1 <- c(LeafArea2) group2 <- c(LeafArea1) wilcox.test(group1, group2) This code works for datasets with the same number

Hello there, I have two groups (men and women) and I know per group how many of them smoke or don't smoke (women 40 of 200; men 100 of 300). I would like to know how I can compare in R if men and women differ significantly in their smoking. However, because there are more men in the sample than women I cannot just compare the number of smokers and non-smokers in both groups, right?! (I would

Hi, I have the file below called happyguys. It is a subset of data. How do I apply the weight variable (WTPP) to this file? Can i just multiply each column (except the first column because it is a record id) by WTPP? If the answer is yes, how do I multiply one variable name by another? Thanks, Nat PROV REGION GRADE Y_Q10A WTPP 83 48 4 7 2 342233324020 115

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

Dear UseRs, Suppose I have data regarding smoking habits of a prospective cohort and wish to determine the risk ratio of colorectal cancer in the smokers compared to the non-smokers. What do I do at the end of the study with people who die of heart disease? Can I just censor them exactly the same as people who become uncontactable or who die in a plane crash? If not, why not? I'm thinking

R Experts: I am conducting a meta-analysis where the effect measures to be pooled are simple proportions. For example, consider this data from Fleiss/Levin/Paik's Statistical methods for rates and proportions (2003, p189) on smokers: Study N Event P(Event) 1 86 83 0.965 2 93 90 0.968 3 136 129 0.949 4 82 70 0.854 Total

Hi. Excuse my English. I've installed Samba+OpenLDAP as a PDC. Everything works fine but Samba ignores completely group information. Linux is ok. Any clue? I'm going crazy here! Here's the sittuation: user: fish1 home dir: /home/reaml/swim/fish1 primary group: swimmers other groups: smokers Directory of smoker's group: /home/realm/smokers Here's an 'ls -l' on

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 there, In SPSS, small piece of data can be input as following: DATA LIST LIST /x1 x2 x3 x4 x5 . BEGIN DATA 5700 12.8 2500 270 25000 1000 10.9 600 10 10000 3400 8.8 1000 10 9000 3800 13.6 1700 140 25000 4000 12.8 1600 140 25000 8200 8.3 2600 60 12000 1200 11.4 400 10 16000 9100 11.5 3300 60 14000 9900 12.5 3400 180 18000 9600 13.7 3600 390 25000

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:

SPSS seems to have changed its default datafile format, resulting in issues for read.spss(). In Windows this results in a warning, in Debian the import completely fails: Debian (R version 2.8.0 (2008-10-20) i486-pc-linux-gnu, foreign_0.8-29) > read.spss("/home/jeroen/samples/Tomato.sav") Error in iconv(names(rval), cp, "") : unsupported conversion from 'CP65001'

Hello, does anyone have experience with reading SPSS Version 15.0 files into R (version 2.4.1, WinXP)? I have long been sucessfully reading SPSS files with read.spss from the wonderful foreign package, but somehow after upgrading from SPSS14 to SPSS15 I seem to have problems. Trying a simple example, where test.sav is a SPSS 15.0 data file consisting of x1=c(1,2,3) and

I am using spss.get to import an SPSS database "Data.sav", created with SPSS 14 : df1 <- spss.get("C:/temp/Data.sav" , lowernames=TRUE, datevars = c("dateinte")) I am getting this warning. I get the same warning with read.spss. Warning message: C:/temp/Data.sav: Unrecognized record type 7, subtype 16 encountered in system file This is a stupid

Hi, I would like to read a spss file in R. When i type read.spss("...") Comes the error: couldn't find function "read.spss" What shall i do? Margarida [[alternative HTML version deleted]]

Hallo! I read SPSS data in the following way: library(Hmisc) library(foreign) dat<-spss.get("surv_abb.sav") In R1.9.1 I got the message: "Error in all(arg == choices) : Object "typeDate" not found" In R1.8.0 the same script works fine. Does anybody know a possibilty to read a SPSS file under R1.9.1? Thanks! Karl

Full_Name: Roger Newton Version: 2.8.1 OS: windows 2000 Submission from: (NULL) (80.176.228.157) I have an elderly version of SPSS (version 11) which I still use. R Version 2.6.1 would, and still will, read SPSS *.sav files produced by SPSS version 11. R version 2.8.1 which I installed two days ago (05/02/09) reports an error and shuts down when trying to read SPSS version 11 *.sav files using

Hi all. I have an SPSS file that I'm loading into R with the Hmisc spss.get function. The trouble is that the SPSS file uses the Windows-1252 character set (which I think is the default for SPSS on Windows) instead of plain-ol' Latin-1, and since spss.get doesn't allow me to pass the "reencode" option to read.spss, any characters in Windows-1252 that are not a part of Latin-1

I am using read.spss in the foreign package to read an SPSS save file. For date variables I get huge values such as 11489990400. Does anyone know how to convert these values to R POSIXct date objects? Thanks in advance -Frank platform i686-pc-linux-gnu arch i686 os linux-gnu system i686, linux-gnu status major 1 minor

Hi everyone, I'm trying to import .sps (SPSS portable file) file. the read.spss function (library foreign) doesn't allow to import such files. should I import in spss and then save as sav file? there is not other solutions available? what I mostly like from spss file is that they have variable labels. want is really wish to keep are the variable.labels from the spss file; so, if there is a