similar to: Read SAS .sd2 file into R?

I am trying to read a SAS dataset into R that is in a .SD2 format, which is the Version 6 standard format from SAS. I see the routines that read the SAS XPORT format (foreign, Hmisc), but is there any way to read this one? Any help would be greatly appreciated. Corey Sparks Corey Sparks Assistant Professor Department of Demography and Organization Studies University of Texas-San Antonio One UTSA

Hello I am sure this is elementary, but I can't figure it out..... I am using SAS v8.2 and R 1.4.1 on a Windows platform. I have a large (6 megabyte) file in .sd2 format. I want to import it into R. If necessary, I can create a smaller file, as I don't need all the variables that are in this file I downloaded the package foreign. I then tried to use PROC CPORT in SAS to create a

Is there such a function (like sas.get for S ...) to be able to convert a SAS dataset (PC one .sd2) to a dataframe or matrix in R? thanks -- Didier G. Leibovici didier at fmrib.ox.ac.uk +44 (0)1865 222 739 Image Analysis Group fax:+44 (0)1865 222 717 Oxford University, Centre For Functional Magnetic Resonance Imaging of the Brain (FMRIB), John Radcliffe Hospital,

I'm trying to read SAS datasets on Windows: sashome <- "C:/Program Files/SAS/SAS 9.1" fold <- "C:/temp" g <- read.ssd(fold, "sasfile", sascmd = file.path(sashome, "sas.exe")) How to get only e.g first ten rows into R? -J

Hi I am having trouble using read.ssd. Can someone help? The code that I have written is *sashome<-"C:/Mary/Datasets"* *read.ssd(read.ssd(file.path(sashome, "core", "sashelp"), "surv_1v",* *sascmd = file.path(sashome, "sas.exe"))* Here the path that I have given is correct, where the dataset surv_1v.sas7bdat is kept. The message that R gives

Hi, I am trying to read a SAS version 9.1.3 SAS dataset into R (to preserve the SAS labels), but am unable to do so (I have read in a CSV version). I first created a transport file using the SAS code: libname ces2 'D:\CES Analysis\Data'; filename transp 'D:\CES Analysis\Data\fadata.xpt'; /* create a transport file - R cannot read file created by proc cport */ proc

Hi R, Suppose that SAS dataset 'tsubset1' is stored in the path, "Z:/data". Then I give the below read.ssd() command to read SAS dataset, 'tsubset1.sas7bat' into R. > library(foreign) > s=read.ssd("Z:/data","tsubset1",sascmd = "C:/Program Files/SAS/SAS 9.1/sas.exe") > s A B C 1 3 4 5 2 6 7 8 3 3 4 5 It reads

HI Guys, I know that this forum is not for homework but I am trying to interpret R output code. I was just wondering if someone might be able to help. I have been given the following. For (X1,X2) distributed bivariate normal with parameters mu1 = 5.8 mu2 = 5.3 sd1 = sd2 = 0.2 and p = 0.6 The r-code and inpit/output are as follows input m <- 5.3 + 0.6*(6.3 - 5.8) s <-

Does anyone know if there is a file size limit for inputting a SAS data set? The file size I am trying to import is 184 MB. The code is: >library("foreign") > > sashome<-"C:/Program Files/SAS Institute/SAS/V8" > input.data<-read.ssd( file.path("G:/DATA/Cam/ECPATH/FIM"),"tbm_c", + sascmd=file.path(sashome,"sas.exe")

Hello everybody, I would like to read a SAS Data data1.sas7bdat in R! Is this possible? Thank you a lot in advance ;), Stefo

Hello, I have to run a general linear mixed model which looks at 2 dependent variables at the same time (var1 divided by var2). I have tryed to search for such a kind of model structure but since I just started using R my search was not successful. Especielly since I only have an old SAS GENMOD code structure from my project supervisor as an indication. My question is no, does there exist a code

Dear R-helpers, I am helping a SAS user run some analyses in R that she cannot do in SAS and she is complaining about R's peculiar (to her!) way of recoding variables. In particular, she is wondering if there is an R package that allows this kind of SAS recoding: IF TYPE='TRUCK' and count=12 THEN VEHICLES=TRUCK+((CAR+BIKE)/2.2); Thanks for any help or suggestions you might be able

I am needing to create a new identifier variable for a data set which has no ID variable in the original file. I am basically wanting to take the count of each row and add "sd" in front of it - so it would look like so sd1 sd2 sd3 sd4 sd5 etc....... I have no idea how to do this. I am a SAS user trying to learn R. This question may have been answered previously, but I could be

Hi all, I'm getting confused by date handling. I wish to read a date from a file wich is a number of seconds since 1970 (POSIXct). Then i wish to convert this date to a human readable form (POSIXlt) By example : ctDate<-1132963200 #"Wed Aug 30 14:24:37 2006" is(ctDate) [1] "numeric" "vector" ctDate isn't a numeric vector, it is a

Dear R users, Inspired by previous list discussion of the glob2rxc function, I am attempting to create a new vector called TOTAL by summing all vectors whose names begin with ABC: TOTAL = sum(list = ls(pattern = glob2rx("ABC*"))) I'm running R 2.2.1 on Windows XP. Can anyone say what I'm missing? Thank you, Mark

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Dear all: Assume I have 3 distributions, x1, x2, and x3. x1 ~ normal(mu1, sd1) x2 ~ normal(mu2, sd2) x3 ~ normal(mu3, sd3) y1 = x1 + x2 y2 = x1 + x3 Now that the data I can observed is only y1 and y2. It is easy to estimate (mu1+m2), (mu1+mu3), (sd1^2+sd2^2) and (sd1^2+sd3^2) by EM algorithm since y1 ~ normal(mu1+mu2, sqrt(sd1^2+sd2^2)) and y2 ~ normal(mu1+mu3, sqrt(sd1^2+sd3^2)) However, I want

Windows 7, R 2.12.1 Colleagues, I am trying to understand the n.for.2means function. The code below is a copy of the function (renamed to n.for.2means.js). I have inserted a single line of code towards the bottom of the function which uses the cat function to print the value of n1. You will note the value (preceded by stars) is printed as 1. The function (1) prints a lot of output without any

Dear Rusers, I have met a difficult problem on explaining the differences of principal component analysis(PCA) between R,S-PLUS and SAS/STATA/SPSS, which wasn't met before. Althought they have got the same eigenvalues, their coeffiecients were different. First, I list my results from R,S-PLUS and SAS/STATA/SPSS, and then show the original dataset, hoping sb. to try and explain it.

A consensus seems to emerge : R would excel to exploratory work on small/middle-sized datasets, while SAS would be able to munch much larger datasets. However, I see the "size" problem as a red herring. The objects that have to stay "in core" are usually much smaller than the dataset. For example, for problems involving fixed-effects linear models, you need only some