similar to: Reading SAS version 8 data into R

Dear all, I was trying to see how the function 'confint' is defined. Doing > confint function (object, parm, level = 0.95, ...) UseMethod("confint") <environment: namespace:stats> does not really enlighten me. How can I get to see the implementation (I guess it should be possible according to the general philosophy of the R project)? Thanks in advance S??ren

Dear all, In S+, there are functions like create.ole.object call.ole.method release.ole.object for communicating with other programs which work as a COM server (on Windows). Is it possible to do something similar in R (I've studied the 'connections' facilities, but they do not seem to work). ========================================== S?ren H?jsgaard, PhD, Senior Scientist

The Details. In the following version. > version _ platform i386-pc-linux-gnu arch i386 os linux-gnu system i386, linux-gnu status major 1 minor 8.1 year 2003 month 11 day 21 language R > lookup.xport ignores some datasets in sas export file. File "emptySasData3.xpt" (available at http://biostat.mc.vanderbilt.edu/tmp/emptySasData3.xpt) is a

Under platform i686-pc-linux-gnu arch i686 os linux-gnu system i686, linux-gnu status major 1 minor 6.1 year 2002 month 11 day 01 language R and using foreign 0.5-8 I am encountering errors when using read.xport. Here's

Even though the FDA has no policies at all that limit our choices of statistical software, there is one defacto standard in place: reliance of the SAS transport file format for data submission (even though this format is deficient for this purpose, e.g., it does not even document value labels or units of measurement in a self-contained way). Because of the widespread use of SAS transport files in

Hi All, Sorry that I didn't provide enough information. I've been trying to import SAS xport files that contain multiple files using package foreign's read.xport. I first attempted this back in 2005 and had problems. Some of files that were present in the SAS xport file weren't being created in R. I submitted my problem to the community:

I am trying to import data from a SAS XPORT file that contains 24 SAS files. When I use the "read.xport" procedure only about 16 data frames (components) are created. Any suggestions? ************************************************************************* Gary A. Nelson, Ph.D Massachusetts Division of Marine Fisheries 30 Emerson Avenue Gloucester, MA 01930 Phone: (978)

Hello, I have a data manipulation problem that I can easily resolve by using perl or python to pre-process the data, but I would prefer to do it directly in R. Given, for example: month length ratio monthly1 monthly2 1 Jan 23 0.1 9 6 2 Jan 45 0.2 9 6 3 Jan 16 0.3 9 6 4 Feb 14 0.2 1 9 5 Mar 98 0.4 2 2 6 Mar 02 0.6

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

Dear R-users Coming from a proc mixed (SAS) background I am trying to get into the use of (n)lme. In this connection, I have some (presumably stupid) questions which I am sure someone out there can answer: 1) With proc mixed it is easy to get a hold on the estimated variance parameters as they can be put out into a SAS data set. How do I do the same with lme-objects? For example, I can see the

Dear all, In the SASmixed package there is an example of an analysis of a split-plot experiment. The model is fm1Semi <- lme( resistance ~ ET * position, data = Semiconductor, random = ~ 1 | Grp) where Grp in the Semiconductor dataset is defined as ET*Wafer. Is it possible to specify the grouping directly some way, e.g. like fm1Semi <- lme( resistance ~ ET * position, data =

Hello, a colleague of mine uses R on his Mac and he has quite a nice feature: When he starts writing a part of the function like "plot(" the programming is showing him at the bottom the kind of arguments you can input to the function. He told me that he has not installed any further stuff than the base R program. Is this a feature you only have in the MAC version? I really like it. I

>From time to time people request symbolic computations beyond what D() and deriv() etc can provide. A brief look at the internet shows that there are many more or less developed computer algebra packages freely available. Therefore, I wondered if it would be an idea to try to 'integrate' one of these packages in R, which I guess can be done in more or less elegant ways... I do not know

Dear all I imported a Stata .dta file with the read.dta-function from the foreign-package. The dataframe's dimensions are > dim(d.apc) [1] 15806 1300 Importing needs up to 15 min and calculations with these data are rather slow (although I subset the data before starting analyses). My questions are: 1. Has someone experiences importing Stata files (alternatives to read.dta) ? 2.

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 (especially MCLUS users). I'm trying to make use of the MCLUST package by C. Fraley and A. Raftery. My problem is trying to figure out how the (model) identifier (e.g, EII, VII, VVI, etc.) relates to the covariance matrix. The parameterization of the covariance matrix makes use of the method of decomposition in Banfield and Rraftery (1993) and Fraley and Raftery (2002) where

Hi, I have written an R translation of C.T. Kelley's Matlab version of the Nelder-Mead algorithm. This algorithm is discussed in detail in his book "Iterative methods for optimization" (SIAM 1999, Chapter 8). I have tested this relatively extensively on a number of smooth and non-smooth problems. It performs well, in general, and it almost always outperforms optim's

Colleagues During the transition to R3.0.0 (OS X), one of the packages that I used -- SASxport -- did not work until I used the "type=source" option in install.packages. This led to an adventure: 1. I downloaded the package source: SASxport_1.2.4.tar.gz 2. in the SASxport/R folder, I found all the functions that are part of the package. I became interested in whether I could

-------- Original Message ---------- From: WRAY NICHOLAS <nicholas.wray at ntlworld.com> To: peter dalgaard <pdalgd at gmail.com> Date: 14 April 2018 at 20:18 Subject: Re: [R] Reading xpt files into R Well yesterday I'd downloaded the "foreign" package and tried to open the xpt file using that: library(foreign) read.xport("test.xpt") I got the following

Hi and thanks for the prompt reply. I cannot say I understood or know what to do. Can you please tell me which is this mailing list? ???? 2:15 ?.?. ???????, 5 ??????? 2018, ?/? Michael Dewey <lists at dewey.myzen.co.uk> ??????: The error is that one of your documentation files is failing. Try compiling each one separately with R CMD Rd2pdf yourfilenamehere.Rd and see what