R: Obtain a Data Frame from a SAS Permanent Dataset, via...

read.ssd {foreign} | R Documentation

## Obtain a Data Frame from a SAS Permanent Dataset, via read.xport

### Description

Generates a SAS program to convert the ssd contents to SAS transport format and then uses `read.xport` to obtain a data frame.

### Usage

    read.ssd(libname, sectionnames,
       tmpXport=tempfile(), tmpProgLoc=tempfile(), sascmd="sas")

### Arguments

`libname` | character string defining the SAS library (usually a directory reference)
`sectionnames` | character vector giving member names. These are files in the `libname` directory. They will usually have a `.ssd0x` or `.sas7bdat` extension, which should be omitted. Use of ASCII names of at most 8 characters is strongly recommended.
`tmpXport` | character string: location where temporary xport format archive should reside – defaults to a randomly named file in the session temporary directory, which will be removed.
`tmpProgLoc` | character string: location where temporary conversion SAS program should reside – defaults to a randomly named file in session temporary directory, which will be removed on successful operation.
`sascmd` | character string giving full path to SAS executable.

### Details

Creates a SAS program and runs it.

Error handling is primitive.

### Value

A data frame if all goes well, or `NULL` with warnings and some enduring side effects (log file for auditing)

### Note

This requires SAS to be available. If you have a SAS dataset without access to SAS you will need another product to convert it to a format such as `.csv`, for example ‘Stat/Transfer’ or ‘DBMS/Copy’ or the ‘SAS System Viewer’ (Windows only).

SAS requires section names to be no more than 8 characters. This is worked by the use of symbolic links: these are barely supported on Windows.

### Author(s)

For Unix: VJ Carey stvjc@channing.harvard.edu

### See Also

`read.xport`

### Examples

    ## if there were some files on the web we could get a real
    ## runnable example
    ## Not run:
    R> list.files("trialdata")
     [1] "baseline.sas7bdat" "form11.sas7bdat"   "form12.sas7bdat"
     [4] "form13.sas7bdat"   "form22.sas7bdat"   "form23.sas7bdat"
     [7] "form3.sas7bdat"    "form4.sas7bdat"    "form48.sas7bdat"
    [10] "form50.sas7bdat"   "form51.sas7bdat"   "form71.sas7bdat"
    [13] "form72.sas7bdat"   "form8.sas7bdat"    "form9.sas7bdat"
    [16] "form90.sas7bdat"   "form91.sas7bdat"
    R> baseline <- read.ssd("trialdata","baseline")
    R> form90 <- read.ssd("trialdata","form90")

    ## Or for a Windows example
    sashome <- "/Program Files/SAS/SAS 9.1"
    read.ssd(file.path(sashome, "core", "sashelp"), "retail",
             sascmd = file.path(sashome, "sas.exe"))

    ## End(Not run)

[Package foreign version 0.8-61 Index]