similar to: SAS vs. R in web application

> From: "Carlos Alzola" <calzola at cox.net> > To: <r-help at r-project.org> > Date: Tue, 8 Sep 2009 23:19:11 -0400 > Subject: [R] SAS vs. R in web application > Good evening, > > I have been asked to investigate the pros and cons of using SAS vs. R in a web application. Either SAS or R would be the engine used to make some very simple calculations and to

Dear list members, I am trying to get information on how to fit a linear regression with constrained parameters. Specifically, I have 8 predictors , their coeffiecients should all be non-negative and add up to 1. I understand it is a quadratic programming problem but I have no experience in the subject. I searched the archives but the results were inconclusive. Could someone provide suggestions

Hi: For those of you who are adept at both SAS and R, I have the following questions: a) What are some reasons / tasks for which you would use R over SAS and vice versa? b) What are some things for which R is a must have that SAS cannot fulfill the requirements? I am on the ramp up on both of them. The general feeling that I am getting by following this group is that R updates to the product are

Dear all, One of my students (whom I am trying to convince to use R) wants to get a fairly large SAS dataset into R (about 150mB). An obvious and simple thing she tried was to write the dataset as a .csv-file and then read that into R, but that takes forever (or something close to that..). The dataset is so large, that exporting it as an Excel file from SAS is not feasible (more than 65000 lines).

Hi there! I am considering to port a SAS application to R and I would like to hear your opinion if you think this is possible and worthwhile. SAS is mainly used to do data management and then to do some aggregations and simple computations on the data and to output a modified data set. The main problem I see is the size of the data file. As I have no access to SAS yet I cannot give real details

Hi Madushan Maybe I was not clear ?. After SIP negotiation and SDP set up on the VoiceMail Server ?. Is there a file to specify a MGw (the machine that deliver RTP packages to end user)? From: asterisk-users-bounces at lists.digium.com [mailto:asterisk-users-bounces at lists.digium.com] On Behalf Of Madushan Geethanga Sent: 15 July 2016 13:00 To: Asterisk Users Mailing List - Non-Commercial

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

lrm does some binning to make the calculations faster. The exact calculation is obtained by running f <- lrm(...) rcorr.cens(predict(f), DA), which results in: C Index Dxy S.D. n missing 0.96814404 0.93628809 0.03808336 32.00000000 0.00000000 uncensored Relevant Pairs Concordant Uncertain 32.00000000

Good morning, I use SAS and R/S-Plus as my primary tools so I have a lot of experience with these programs. By far and away, SAS is superior for handling the "messy" datasets, but also the very large ones. I work at times with datasets in the hundreds of thousands (and on occasion, millions) of records. SAS, and especially PROC SQL, are invaluable for this. But once I get to

I am one of only 5 or 6 people in my organization making the effort to include R/Splus as an analysis tool in everyday work - the rest of my colleagues use SAS exclusively. Today, one of them made the assertion that he believes the numerical algorithms in SAS are superior to those in Splus and R -- ie, optimization routines are faster in SAS, the SAS Institute has teams of excellent numerical

I would be incredibly grateful to anyone who'll help me translate some SAS code into R code. Say for example that I have a dataset named "dat1" that includes five variables: wshed, site, species, bda, and sla. I can calculate with the following SAS code the mean, CV, se, and number of observations of "bda" and "sla" for each combination of

Hi all, if you do not have a SAS license but want to convert native SAS data files, the solution below will work. # read SAS data without SAS # 1. Download free SAS System Viewer from either of the sites below: # http://www.sas.com/apps/demosdownloads/setupcat.jsp?cat=SAS+System+Viewer (requires registration) # http://www.umass.edu/statdata/software/downloads/SASViewer/index.html #

Hello! Disapointed about SPSS I have to choose another statistic program. And altough I sympathise with the idea of a non-commercial software-project like R and I like the spirit of the R community (and of course I am not keen on paying 150$ to SAS for a one-year students license), I will probably buy SAS, because people I will work with use SAS and I want a close cooperation with them. Besides I

There are some interesting comments re Paul Murrell's new book, R, & SAS on Andrew Gelman's blog: http://www.stat.columbia.edu/~cook/movabletype/archives/2005/04/a_new_book_on_r.html -- Tony Plate

I need to do a new CentOS net install on a new server having the Supermicro X7DVL-3 motherboard: http://www.supermicro.com/products/motherboard/xeon1333/5000V/X7DVL-3.cfm Based on that info I assume the board having a "8x SAS Ports via LSI 1068E Controller". We received the server with 3 drives + 1 spare as hw RAID-5 preinstalled. During bootup I see that the drives are initialised

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

Dear all, I am trying to import a SAS file into R (in fact I only need the value labels from the formats file), using Hmisc package, but I get this error: my.sas <- sas.get("/home/adi/3", "fis1_sgg") sh: sas: not found Error in sas.get("/home/adi/3", "fis1_sgg") : SAS job failed with status 32512 I read some past discussions and I get the impression

Hi, I'm very new to R and absolutely love it. Does anyone know how to use something in R that functions like a BY command in SAS? For example, let's say you have a variable x, and you want to see the mean. Easy... > mean(x) But what if you want to see the mean of x conditional on another discrete variable? My best attempts so far are something like... > mean(x, y_cat=1)

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 =

I'm trying to import a .sas7bdat dataset into R with sas.get. I'm using Win-7 and SAS 9.2. I have read the following post and did tweak the line (127, incidentally) of code. <http://r.789695.n4.nabble.com/R-Problem-with-sas-get-function-in-Hmisc-td81 4367.html> http://r.789695.n4.nabble.com/R-Problem-with-sas-get-function-in-Hmisc-td814 367.html However, I get the following