similar to: Reading large SAS dataset in R

I am attempting to read in a SAS 9.1 data file. After starting R I change to the directory containing the sas data file and use the "dir" command to confirm that it is there. Then I run the following R-code: library(foreign) sashome <- "/Program Files/SAS/SAS 9.1" test<-read.ssd(file.path(sashome), "pcb", sascmd = file.path(sashome,

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 all, Is it possible to generate the same sample number of times in R? In SAS, using the option "seed" it is possible to reproduce exactly the same sample. Is there any such feature in R which I can use? For further clarity, for (i in 1:2) { samp = sample(1:1000,100,replace = FALSE) print(samp) } For the above simulation, is it possible to generate the same sampled units

Hello, I'm trying to import a SAS file made using SAS on Unix. Currently I'm using SAS on Windows and I'm trying to import that .ssd04 file to R. The file name of the file is testfile.ssd04 and it is located in 'M:\sasuser'. I'm using Windows XP and R 2.91. Basically what I'm doing is ############ r code ############## > library(foreign) > sashome <-

Hello, I am trying to read the SAS file MyData.sa7bdat in R! This file is saved under D:\data! I therefore wrote > path <-"D:/SasData" > sashome <- "C/Progra, Files/SAS Institute/9_1/SAS" > sascmd <- file.path(sashome, "sas.exe") > MyData <- read.ssd(path, "MyData", sascmd=sascmd) The results what I get:

Hi , I'm having problem with the following plot. Basically I have to do 51(length of d, see below) plots. I want 6 plots (say) in a page and rests are in different pages. win.graph() starts a plot in new page. But I'm not being able to combine par(mfrow = c(3,2)) and win.graph() within a loop. > d [1] 14.108 13.883 11.022 13.426 2.341 9.010 12.868 15.603 30.810 3.931 11.825

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

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 need to import in R some SAS dataset (sas7bdat). I found two functions to do it: "read.ssd" from the package "foreign" and "sas.get" from "Hmisc". df = read.ssd(libname = path2data, sectionnames = "sasSmallDataset", tmpXport = path2data, tmpProgLoc = path2data, sascmd = path2sas) sas.get(libraryName = path2data, member =

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")

Full_Name: Jeff Hallman Version: 2.4.1 OS: Linux Submission from: (NULL) (132.200.32.34) When I filed this a few minutes ago, I left off the rewritten read.ssd(). I've included it at the end this time. read.ssd() invokes PROC COPY to create an xport file, but PROC COPY has some annoying limitations that read.ssd() should deal with. The first is that PROC COPY doesn't work with member

Hi, I am trying to integrate a function which is approximately constant over the range of the integration. The function is as follows: > my.fcn = function(mu){ + m = 1000 + z = 0 + z.mse = 0 + for(i in 1:m){ + z[i] = rnorm(1, mu, 1) + z.mse = z.mse + (z[i] - mu)^2 + } + return(z.mse/m) + } > my.fcn(-10) [1] 1.021711 > my.fcn(10) [1] 0.9995235 > my.fcn(-5) [1] 1.012727 > my.fcn(5)

Hi, I am encountering a confusing problem when I tried to use read.ssd to read SAS datasets. For one SAS dataset "a.sas7bdat", it did not work; while for another SAS dataset "b.sas7bdat" it worked: > tmp<-read.ssd("C:\\SASdata", "a",sascmd="C:/Program >Files/SAS/SASFoundation/9.2/sas.exe") SAS failed. SAS program at

I'm trying to read in a sas system file (.sas7bdat) created under SAS 8.2 using read.ssd as follows: > library(foreign) > libname <- "c:/sasuser/consult/" > sascmd <- "c:/Program\ Files/SAS\ Institute/SAS/V8/sas.exe" > subset <- read.ssd(libname, "subset", sascmd=sascmd) SAS failed. SAS program at c:\windows\TEMP\Rtmp6673\file24544.sas a

Hello Gurus, I tried my best as I can to do RTFM and Googling to find any information to solve the problem myself which I failed. I installed OpenSSL 0.9.6d 9 May 2002 with this option on a Solaris 8 box using Sun Forte6-2 $config solaris64-sparcv9-cc --prefix=/local/santanu/pkg/ssl Now I am trying to install openssh 3.2.3p1 and getting this error. configure:8285: error: *** Can't find

Hi, I am using read.ssd() from foreign package to read some SAS datasets. I have 2 types of SAS datasets, one with "sas7bdat" extension, the other with "ssd01" extension. I have no problem with the first dataset type, but got the following error message with the 2nd dataset type (with "ssd01" extension): test<-read.ssd("C:/Documents and

Hola. yo soy usuario SAS y ahora estoy intentando comenzar a trabajar en R. Estoy necesitando leer archivos de datos que tengo en formato SAS. Se que esta el package foreing que permite leer directamente datos que se encuentran en ese formato. Alguien podria indicarme como lo debo hacer. Solo quiero leer algunas variables dado que el archivo es extenso. Muchas gracias. Silvia.

Hello all, I have got some data in SAS, and I export it to one excel workbook with multiple sheets, for example, each sheet has the sales information for each state. Then I need to use R to do plotting, analysis on those sales data, where I need to load the data from excel to R. When I read the article at this link: http://yihui.name/en/2009/09/how-to-import-ms-excel-data-into-r/ I am

Hi, I have been analyzing the LLVM vectorizer by running some benchmarks. For vectorization, I have used the following flags: -O3 -ffast-math -mavx2 Am I missing any other flags which will improve vectorizer performance? Thanks, Santanu Das IIT Hyd -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hi there, Please find the required information below: username : SantanuDas subject : OS X intregration: Enabling AFPD (Netatalk) location : Networking tips ref: https://www.centos.org/modules/newbb/viewtopic.php?topic_id=27658&forum=38 Cheers, Santanu