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    <p>this brazilian census website provides a SAS importation script. the quickest way to import an ASCII data set with only a SAS importation script is to use <a href="http://cran.r-project.org/package=SAScii">the SAScii package</a>. you can find the SAS importation script inside <a href="ftp://ftp.ibge.gov.br/Trabalho_e_Rendimento/Pesquisa_Mensal_de_Emprego/Microdados/documentacao/Documentacao.zip">this zipped file</a> -- it's INPUT.txt. notice that the INPUT block of those SAS importation instructions don't start until the fourth line, so your <code>beginline</code> parameter will be 4. test out that you're reading the SAS script correctly first with <code>?parse.SAScii</code></p> <pre><code>library(SAScii) parse.SAScii( "INPUT.txt" , beginline = 4 ) </code></pre> <p>once you see that that's printed the column names and widths correctly, you can use the <code>?read.SAScii</code> function to directly read your text file into an R data frame</p> <pre><code>x &lt;- read.SAScii( "filename.txt" , "INPUT.txt" , beginline = 4 ) head( x ) </code></pre> <p>if your file is too big to read entirely into RAM, you can instead read it into a SQLite database. use the <code>read.SAScii.sqlite()</code> function found not in the SAScii package but in <a href="https://github.com/ajdamico/usgsd/blob/master/SQLite/read.SAScii.sqlite.R">my github account here</a> -- it's just a slight variation of the read.SAScii() function, but it doesn't overload RAM. you can see an example of its usage in the download script on this <a href="http://www.asdfree.com/search/label/area%20resource%20file%20%28arf%29">united states government survey data set website</a>.</p> <p>for more detail about the SAScii package, check out <a href="http://blog.revolutionanalytics.com/2012/07/importing-public-data-with-sas-instructions-into-r.html">this overview</a></p>
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    1. POHandle ASCII in R
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    1. USAnthony Damico
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    1. COexcellent. thanks for your explanation.
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      1. USJoschi
    2. COin case you can't find the SAS importation script, even if there's a layout file, you could properly construct a `read.fwf` call as Romain stated above from importing the excel layout. it has where fields begin and end, so you just have take the starting and ending positions, and use their difference as the `width` parameter :) good luck!
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    3. COall right. Until know it works just fine with the SAS importation script ;)
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