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<h1>How to import data from SPSS / SAS / Stata</h1>
<h1 data-toc-skip>How to import data from SPSS / SAS / Stata</h1>
<h4 class="author">Matthijs S. Berends</h4>
<h4 class="date">17 March 2020</h4>
<h4 class="date">15 April 2020</h4>
<small class="dont-index">Source: <a href="https://gitlab.com/msberends/AMR/blob/master/vignettes/SPSS.Rmd"><code>vignettes/SPSS.Rmd</code></a></small>
<div class="hidden name"><code>SPSS.Rmd</code></div>
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</li>
</ul>
<p>To demonstrate the first point:</p>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1"></a><span class="co"># not all values are valid MIC values:</span></span>
<span id="cb1-2"><a href="#cb1-2"></a><span class="kw"><a href="../reference/as.mic.html">as.mic</a></span>(<span class="fl">0.125</span>)</span>
<span id="cb1-3"><a href="#cb1-3"></a><span class="co"># Class 'mic'</span></span>
<span id="cb1-4"><a href="#cb1-4"></a><span class="co"># [1] 0.125</span></span>
<span id="cb1-5"><a href="#cb1-5"></a><span class="kw"><a href="../reference/as.mic.html">as.mic</a></span>(<span class="st">"testvalue"</span>)</span>
<span id="cb1-6"><a href="#cb1-6"></a><span class="co"># Class 'mic'</span></span>
<span id="cb1-7"><a href="#cb1-7"></a><span class="co"># [1] &lt;NA&gt;</span></span>
<span id="cb1-8"><a href="#cb1-8"></a></span>
<span id="cb1-9"><a href="#cb1-9"></a><span class="co"># the Gram stain is avaiable for all bacteria:</span></span>
<span id="cb1-10"><a href="#cb1-10"></a><span class="kw"><a href="../reference/mo_property.html">mo_gramstain</a></span>(<span class="st">"E. coli"</span>)</span>
<span id="cb1-11"><a href="#cb1-11"></a><span class="co"># [1] "Gram-negative"</span></span>
<span id="cb1-12"><a href="#cb1-12"></a></span>
<span id="cb1-13"><a href="#cb1-13"></a><span class="co"># Klebsiella is intrinsic resistant to amoxicllin, according to EUCAST:</span></span>
<span id="cb1-14"><a href="#cb1-14"></a>klebsiella_test &lt;-<span class="st"> </span><span class="kw"><a href="https://rdrr.io/r/base/data.frame.html">data.frame</a></span>(<span class="dt">mo =</span> <span class="st">"klebsiella"</span>, </span>
<span id="cb1-15"><a href="#cb1-15"></a> <span class="dt">amox =</span> <span class="st">"S"</span>,</span>
<span id="cb1-16"><a href="#cb1-16"></a> <span class="dt">stringsAsFactors =</span> <span class="ot">FALSE</span>)</span>
<span id="cb1-17"><a href="#cb1-17"></a>klebsiella_test <span class="co"># (our original data)</span></span>
<span id="cb1-18"><a href="#cb1-18"></a><span class="co"># mo amox</span></span>
<span id="cb1-19"><a href="#cb1-19"></a><span class="co"># 1 klebsiella S</span></span>
<span id="cb1-20"><a href="#cb1-20"></a><span class="kw"><a href="../reference/eucast_rules.html">eucast_rules</a></span>(klebsiella_test, <span class="dt">info =</span> <span class="ot">FALSE</span>) <span class="co"># (the edited data by EUCAST rules)</span></span>
<span id="cb1-21"><a href="#cb1-21"></a><span class="co"># mo amox</span></span>
<span id="cb1-22"><a href="#cb1-22"></a><span class="co"># 1 klebsiella R</span></span>
<span id="cb1-23"><a href="#cb1-23"></a></span>
<span id="cb1-24"><a href="#cb1-24"></a><span class="co"># hundreds of trade names can be translated to a name, trade name or an ATC code:</span></span>
<span id="cb1-25"><a href="#cb1-25"></a><span class="kw"><a href="../reference/ab_property.html">ab_name</a></span>(<span class="st">"floxapen"</span>)</span>
<span id="cb1-26"><a href="#cb1-26"></a><span class="co"># [1] "Flucloxacillin"</span></span>
<span id="cb1-27"><a href="#cb1-27"></a><span class="kw"><a href="../reference/ab_property.html">ab_tradenames</a></span>(<span class="st">"floxapen"</span>)</span>
<span id="cb1-28"><a href="#cb1-28"></a><span class="co"># [1] "Floxacillin" "FLOXACILLIN" "Floxapen" </span></span>
<span id="cb1-29"><a href="#cb1-29"></a><span class="co"># [4] "Floxapen sodium salt" "Fluclox" "Flucloxacilina" </span></span>
<span id="cb1-30"><a href="#cb1-30"></a><span class="co"># [7] "Flucloxacillin" "Flucloxacilline" "Flucloxacillinum" </span></span>
<span id="cb1-31"><a href="#cb1-31"></a><span class="co"># [10] "Fluorochloroxacillin"</span></span>
<span id="cb1-32"><a href="#cb1-32"></a><span class="kw"><a href="../reference/ab_property.html">ab_atc</a></span>(<span class="st">"floxapen"</span>)</span>
<span id="cb1-33"><a href="#cb1-33"></a><span class="co"># [1] "J01CF05"</span></span></code></pre></div>
<div class="sourceCode" id="cb1"><html><body><pre class="r"><span class="co"># not all values are valid MIC values:</span>
<span class="fu"><a href="../reference/as.mic.html">as.mic</a></span>(<span class="fl">0.125</span>)
<span class="co"># Class 'mic'</span>
<span class="co"># [1] 0.125</span>
<span class="fu"><a href="../reference/as.mic.html">as.mic</a></span>(<span class="st">"testvalue"</span>)
<span class="co"># Class 'mic'</span>
<span class="co"># [1] &lt;NA&gt;</span>
<span class="co"># the Gram stain is avaiable for all bacteria:</span>
<span class="fu"><a href="../reference/mo_property.html">mo_gramstain</a></span>(<span class="st">"E. coli"</span>)
<span class="co"># [1] "Gram-negative"</span>
<span class="co"># Klebsiella is intrinsic resistant to amoxicllin, according to EUCAST:</span>
<span class="no">klebsiella_test</span> <span class="kw">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html">data.frame</a></span>(<span class="kw">mo</span> <span class="kw">=</span> <span class="st">"klebsiella"</span>,
<span class="kw">amox</span> <span class="kw">=</span> <span class="st">"S"</span>,
<span class="kw">stringsAsFactors</span> <span class="kw">=</span> <span class="fl">FALSE</span>)
<span class="no">klebsiella_test</span> <span class="co"># (our original data)</span>
<span class="co"># mo amox</span>
<span class="co"># 1 klebsiella S</span>
<span class="fu"><a href="../reference/eucast_rules.html">eucast_rules</a></span>(<span class="no">klebsiella_test</span>, <span class="kw">info</span> <span class="kw">=</span> <span class="fl">FALSE</span>) <span class="co"># (the edited data by EUCAST rules)</span>
<span class="co"># mo amox</span>
<span class="co"># 1 klebsiella R</span>
<span class="co"># hundreds of trade names can be translated to a name, trade name or an ATC code:</span>
<span class="fu"><a href="../reference/ab_property.html">ab_name</a></span>(<span class="st">"floxapen"</span>)
<span class="co"># [1] "Flucloxacillin"</span>
<span class="fu"><a href="../reference/ab_property.html">ab_tradenames</a></span>(<span class="st">"floxapen"</span>)
<span class="co"># [1] "floxacillin" "floxapen" "floxapen sodium salt"</span>
<span class="co"># [4] "fluclox" "flucloxacilina" "flucloxacillin" </span>
<span class="co"># [7] "flucloxacilline" "flucloxacillinum" "fluorochloroxacillin"</span>
<span class="fu"><a href="../reference/ab_property.html">ab_atc</a></span>(<span class="st">"floxapen"</span>)
<span class="co"># [1] "J01CF05"</span></pre></body></html></div>
</div>
<div id="import-data-from-spsssasstata" class="section level2">
<h2 class="hasAnchor">
@ -287,97 +287,97 @@
<p><img src="https://gitlab.com/msberends/AMR/raw/master/docs/import2.png"></p>
<p>If you want named variables to be imported as factors so it resembles SPSS more, use <code><a href="https://haven.tidyverse.org/reference/as_factor.html">as_factor()</a></code>.</p>
<p>The difference is this:</p>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1"></a>SPSS_data</span>
<span id="cb2-2"><a href="#cb2-2"></a><span class="co"># # A tibble: 4,203 x 4</span></span>
<span id="cb2-3"><a href="#cb2-3"></a><span class="co"># v001 sex status statusage</span></span>
<span id="cb2-4"><a href="#cb2-4"></a><span class="co"># &lt;dbl&gt; &lt;dbl+lbl&gt; &lt;dbl+lbl&gt; &lt;dbl&gt;</span></span>
<span id="cb2-5"><a href="#cb2-5"></a><span class="co"># 1 10002 1 1 76.6</span></span>
<span id="cb2-6"><a href="#cb2-6"></a><span class="co"># 2 10004 0 1 59.1</span></span>
<span id="cb2-7"><a href="#cb2-7"></a><span class="co"># 3 10005 1 1 54.5</span></span>
<span id="cb2-8"><a href="#cb2-8"></a><span class="co"># 4 10006 1 1 54.1</span></span>
<span id="cb2-9"><a href="#cb2-9"></a><span class="co"># 5 10007 1 1 57.7</span></span>
<span id="cb2-10"><a href="#cb2-10"></a><span class="co"># 6 10008 1 1 62.8</span></span>
<span id="cb2-11"><a href="#cb2-11"></a><span class="co"># 7 10010 0 1 63.7</span></span>
<span id="cb2-12"><a href="#cb2-12"></a><span class="co"># 8 10011 1 1 73.1</span></span>
<span id="cb2-13"><a href="#cb2-13"></a><span class="co"># 9 10017 1 1 56.7</span></span>
<span id="cb2-14"><a href="#cb2-14"></a><span class="co"># 10 10018 0 1 66.6</span></span>
<span id="cb2-15"><a href="#cb2-15"></a><span class="co"># # … with 4,193 more rows</span></span>
<span id="cb2-16"><a href="#cb2-16"></a></span>
<span id="cb2-17"><a href="#cb2-17"></a><span class="kw">as_factor</span>(SPSS_data)</span>
<span id="cb2-18"><a href="#cb2-18"></a><span class="co"># # A tibble: 4,203 x 4</span></span>
<span id="cb2-19"><a href="#cb2-19"></a><span class="co"># v001 sex status statusage</span></span>
<span id="cb2-20"><a href="#cb2-20"></a><span class="co"># &lt;dbl&gt; &lt;fct&gt; &lt;fct&gt; &lt;dbl&gt;</span></span>
<span id="cb2-21"><a href="#cb2-21"></a><span class="co"># 1 10002 Male alive 76.6</span></span>
<span id="cb2-22"><a href="#cb2-22"></a><span class="co"># 2 10004 Female alive 59.1</span></span>
<span id="cb2-23"><a href="#cb2-23"></a><span class="co"># 3 10005 Male alive 54.5</span></span>
<span id="cb2-24"><a href="#cb2-24"></a><span class="co"># 4 10006 Male alive 54.1</span></span>
<span id="cb2-25"><a href="#cb2-25"></a><span class="co"># 5 10007 Male alive 57.7</span></span>
<span id="cb2-26"><a href="#cb2-26"></a><span class="co"># 6 10008 Male alive 62.8</span></span>
<span id="cb2-27"><a href="#cb2-27"></a><span class="co"># 7 10010 Female alive 63.7</span></span>
<span id="cb2-28"><a href="#cb2-28"></a><span class="co"># 8 10011 Male alive 73.1</span></span>
<span id="cb2-29"><a href="#cb2-29"></a><span class="co"># 9 10017 Male alive 56.7</span></span>
<span id="cb2-30"><a href="#cb2-30"></a><span class="co"># 10 10018 Female alive 66.6</span></span>
<span id="cb2-31"><a href="#cb2-31"></a><span class="co"># # … with 4,193 more rows</span></span></code></pre></div>
<div class="sourceCode" id="cb2"><html><body><pre class="r"><span class="no">SPSS_data</span>
<span class="co"># # A tibble: 4,203 x 4</span>
<span class="co"># v001 sex status statusage</span>
<span class="co"># &lt;dbl&gt; &lt;dbl+lbl&gt; &lt;dbl+lbl&gt; &lt;dbl&gt;</span>
<span class="co"># 1 10002 1 1 76.6</span>
<span class="co"># 2 10004 0 1 59.1</span>
<span class="co"># 3 10005 1 1 54.5</span>
<span class="co"># 4 10006 1 1 54.1</span>
<span class="co"># 5 10007 1 1 57.7</span>
<span class="co"># 6 10008 1 1 62.8</span>
<span class="co"># 7 10010 0 1 63.7</span>
<span class="co"># 8 10011 1 1 73.1</span>
<span class="co"># 9 10017 1 1 56.7</span>
<span class="co"># 10 10018 0 1 66.6</span>
<span class="co"># # … with 4,193 more rows</span>
<span class="fu">as_factor</span>(<span class="no">SPSS_data</span>)
<span class="co"># # A tibble: 4,203 x 4</span>
<span class="co"># v001 sex status statusage</span>
<span class="co"># &lt;dbl&gt; &lt;fct&gt; &lt;fct&gt; &lt;dbl&gt;</span>
<span class="co"># 1 10002 Male alive 76.6</span>
<span class="co"># 2 10004 Female alive 59.1</span>
<span class="co"># 3 10005 Male alive 54.5</span>
<span class="co"># 4 10006 Male alive 54.1</span>
<span class="co"># 5 10007 Male alive 57.7</span>
<span class="co"># 6 10008 Male alive 62.8</span>
<span class="co"># 7 10010 Female alive 63.7</span>
<span class="co"># 8 10011 Male alive 73.1</span>
<span class="co"># 9 10017 Male alive 56.7</span>
<span class="co"># 10 10018 Female alive 66.6</span>
<span class="co"># # … with 4,193 more rows</span></pre></body></html></div>
</div>
<div id="base-r" class="section level3">
<h3 class="hasAnchor">
<a href="#base-r" class="anchor"></a>Base R</h3>
<p>To import data from SPSS, SAS or Stata, you can use the <a href="https://haven.tidyverse.org/">great <code>haven</code> package</a> yourself:</p>
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1"></a><span class="co"># download and install the latest version:</span></span>
<span id="cb3-2"><a href="#cb3-2"></a><span class="kw"><a href="https://rdrr.io/r/utils/install.packages.html">install.packages</a></span>(<span class="st">"haven"</span>)</span>
<span id="cb3-3"><a href="#cb3-3"></a><span class="co"># load the package you just installed:</span></span>
<span id="cb3-4"><a href="#cb3-4"></a><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span>(haven) </span></code></pre></div>
<div class="sourceCode" id="cb3"><html><body><pre class="r"><span class="co"># download and install the latest version:</span>
<span class="fu"><a href="https://rdrr.io/r/utils/install.packages.html">install.packages</a></span>(<span class="st">"haven"</span>)
<span class="co"># load the package you just installed:</span>
<span class="fu"><a href="https://rdrr.io/r/base/library.html">library</a></span>(<span class="no">haven</span>)</pre></body></html></div>
<p>You can now import files as follows:</p>
<div id="spss" class="section level4">
<h4 class="hasAnchor">
<a href="#spss" class="anchor"></a>SPSS</h4>
<p>To read files from SPSS into R:</p>
<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1"></a><span class="co"># read any SPSS file based on file extension (best way):</span></span>
<span id="cb4-2"><a href="#cb4-2"></a><span class="kw"><a href="https://haven.tidyverse.org/reference/read_spss.html">read_spss</a></span>(<span class="dt">file =</span> <span class="st">"path/to/file"</span>)</span>
<span id="cb4-3"><a href="#cb4-3"></a></span>
<span id="cb4-4"><a href="#cb4-4"></a><span class="co"># read .sav or .zsav file:</span></span>
<span id="cb4-5"><a href="#cb4-5"></a><span class="kw"><a href="https://haven.tidyverse.org/reference/read_spss.html">read_sav</a></span>(<span class="dt">file =</span> <span class="st">"path/to/file"</span>)</span>
<span id="cb4-6"><a href="#cb4-6"></a></span>
<span id="cb4-7"><a href="#cb4-7"></a><span class="co"># read .por file:</span></span>
<span id="cb4-8"><a href="#cb4-8"></a><span class="kw"><a href="https://haven.tidyverse.org/reference/read_spss.html">read_por</a></span>(<span class="dt">file =</span> <span class="st">"path/to/file"</span>)</span></code></pre></div>
<div class="sourceCode" id="cb4"><html><body><pre class="r"><span class="co"># read any SPSS file based on file extension (best way):</span>
<span class="fu"><a href="https://haven.tidyverse.org/reference/read_spss.html">read_spss</a></span>(<span class="kw">file</span> <span class="kw">=</span> <span class="st">"path/to/file"</span>)
<span class="co"># read .sav or .zsav file:</span>
<span class="fu"><a href="https://haven.tidyverse.org/reference/read_spss.html">read_sav</a></span>(<span class="kw">file</span> <span class="kw">=</span> <span class="st">"path/to/file"</span>)
<span class="co"># read .por file:</span>
<span class="fu"><a href="https://haven.tidyverse.org/reference/read_spss.html">read_por</a></span>(<span class="kw">file</span> <span class="kw">=</span> <span class="st">"path/to/file"</span>)</pre></body></html></div>
<p>Do not forget about <code><a href="https://haven.tidyverse.org/reference/as_factor.html">as_factor()</a></code>, as mentioned above.</p>
<p>To export your R objects to the SPSS file format:</p>
<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1"></a><span class="co"># save as .sav file:</span></span>
<span id="cb5-2"><a href="#cb5-2"></a><span class="kw"><a href="https://haven.tidyverse.org/reference/read_spss.html">write_sav</a></span>(<span class="dt">data =</span> yourdata, <span class="dt">path =</span> <span class="st">"path/to/file"</span>)</span>
<span id="cb5-3"><a href="#cb5-3"></a></span>
<span id="cb5-4"><a href="#cb5-4"></a><span class="co"># save as compressed .zsav file:</span></span>
<span id="cb5-5"><a href="#cb5-5"></a><span class="kw"><a href="https://haven.tidyverse.org/reference/read_spss.html">write_sav</a></span>(<span class="dt">data =</span> yourdata, <span class="dt">path =</span> <span class="st">"path/to/file"</span>, <span class="dt">compress =</span> <span class="ot">TRUE</span>)</span></code></pre></div>
<div class="sourceCode" id="cb5"><html><body><pre class="r"><span class="co"># save as .sav file:</span>
<span class="fu"><a href="https://haven.tidyverse.org/reference/read_spss.html">write_sav</a></span>(<span class="kw">data</span> <span class="kw">=</span> <span class="no">yourdata</span>, <span class="kw">path</span> <span class="kw">=</span> <span class="st">"path/to/file"</span>)
<span class="co"># save as compressed .zsav file:</span>
<span class="fu"><a href="https://haven.tidyverse.org/reference/read_spss.html">write_sav</a></span>(<span class="kw">data</span> <span class="kw">=</span> <span class="no">yourdata</span>, <span class="kw">path</span> <span class="kw">=</span> <span class="st">"path/to/file"</span>, <span class="kw">compress</span> <span class="kw">=</span> <span class="fl">TRUE</span>)</pre></body></html></div>
</div>
<div id="sas" class="section level4">
<h4 class="hasAnchor">
<a href="#sas" class="anchor"></a>SAS</h4>
<p>To read files from SAS into R:</p>
<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1"></a><span class="co"># read .sas7bdat + .sas7bcat files:</span></span>
<span id="cb6-2"><a href="#cb6-2"></a><span class="kw"><a href="https://haven.tidyverse.org/reference/read_sas.html">read_sas</a></span>(<span class="dt">data_file =</span> <span class="st">"path/to/file"</span>, <span class="dt">catalog_file =</span> <span class="ot">NULL</span>)</span>
<span id="cb6-3"><a href="#cb6-3"></a></span>
<span id="cb6-4"><a href="#cb6-4"></a><span class="co"># read SAS transport files (version 5 and version 8):</span></span>
<span id="cb6-5"><a href="#cb6-5"></a><span class="kw"><a href="https://haven.tidyverse.org/reference/read_xpt.html">read_xpt</a></span>(<span class="dt">file =</span> <span class="st">"path/to/file"</span>)</span></code></pre></div>
<div class="sourceCode" id="cb6"><html><body><pre class="r"><span class="co"># read .sas7bdat + .sas7bcat files:</span>
<span class="fu"><a href="https://haven.tidyverse.org/reference/read_sas.html">read_sas</a></span>(<span class="kw">data_file</span> <span class="kw">=</span> <span class="st">"path/to/file"</span>, <span class="kw">catalog_file</span> <span class="kw">=</span> <span class="kw">NULL</span>)
<span class="co"># read SAS transport files (version 5 and version 8):</span>
<span class="fu"><a href="https://haven.tidyverse.org/reference/read_xpt.html">read_xpt</a></span>(<span class="kw">file</span> <span class="kw">=</span> <span class="st">"path/to/file"</span>)</pre></body></html></div>
<p>To export your R objects to the SAS file format:</p>
<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1"></a><span class="co"># save as regular SAS file:</span></span>
<span id="cb7-2"><a href="#cb7-2"></a><span class="kw"><a href="https://haven.tidyverse.org/reference/read_sas.html">write_sas</a></span>(<span class="dt">data =</span> yourdata, <span class="dt">path =</span> <span class="st">"path/to/file"</span>)</span>
<span id="cb7-3"><a href="#cb7-3"></a></span>
<span id="cb7-4"><a href="#cb7-4"></a><span class="co"># the SAS transport format is an open format </span></span>
<span id="cb7-5"><a href="#cb7-5"></a><span class="co"># (required for submission of the data to the FDA)</span></span>
<span id="cb7-6"><a href="#cb7-6"></a><span class="kw"><a href="https://haven.tidyverse.org/reference/read_xpt.html">write_xpt</a></span>(<span class="dt">data =</span> yourdata, <span class="dt">path =</span> <span class="st">"path/to/file"</span>, <span class="dt">version =</span> <span class="dv">8</span>)</span></code></pre></div>
<div class="sourceCode" id="cb7"><html><body><pre class="r"><span class="co"># save as regular SAS file:</span>
<span class="fu"><a href="https://haven.tidyverse.org/reference/read_sas.html">write_sas</a></span>(<span class="kw">data</span> <span class="kw">=</span> <span class="no">yourdata</span>, <span class="kw">path</span> <span class="kw">=</span> <span class="st">"path/to/file"</span>)
<span class="co"># the SAS transport format is an open format </span>
<span class="co"># (required for submission of the data to the FDA)</span>
<span class="fu"><a href="https://haven.tidyverse.org/reference/read_xpt.html">write_xpt</a></span>(<span class="kw">data</span> <span class="kw">=</span> <span class="no">yourdata</span>, <span class="kw">path</span> <span class="kw">=</span> <span class="st">"path/to/file"</span>, <span class="kw">version</span> <span class="kw">=</span> <span class="fl">8</span>)</pre></body></html></div>
</div>
<div id="stata" class="section level4">
<h4 class="hasAnchor">
<a href="#stata" class="anchor"></a>Stata</h4>
<p>To read files from Stata into R:</p>
<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1"></a><span class="co"># read .dta file:</span></span>
<span id="cb8-2"><a href="#cb8-2"></a><span class="kw"><a href="https://haven.tidyverse.org/reference/read_dta.html">read_stata</a></span>(<span class="dt">file =</span> <span class="st">"/path/to/file"</span>)</span>
<span id="cb8-3"><a href="#cb8-3"></a></span>
<span id="cb8-4"><a href="#cb8-4"></a><span class="co"># works exactly the same:</span></span>
<span id="cb8-5"><a href="#cb8-5"></a><span class="kw"><a href="https://haven.tidyverse.org/reference/read_dta.html">read_dta</a></span>(<span class="dt">file =</span> <span class="st">"/path/to/file"</span>)</span></code></pre></div>
<div class="sourceCode" id="cb8"><html><body><pre class="r"><span class="co"># read .dta file:</span>
<span class="fu"><a href="https://haven.tidyverse.org/reference/read_dta.html">read_stata</a></span>(<span class="kw">file</span> <span class="kw">=</span> <span class="st">"/path/to/file"</span>)
<span class="co"># works exactly the same:</span>
<span class="fu"><a href="https://haven.tidyverse.org/reference/read_dta.html">read_dta</a></span>(<span class="kw">file</span> <span class="kw">=</span> <span class="st">"/path/to/file"</span>)</pre></body></html></div>
<p>To export your R objects to the Stata file format:</p>
<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1"></a><span class="co"># save as .dta file, Stata version 14:</span></span>
<span id="cb9-2"><a href="#cb9-2"></a><span class="co"># (supports Stata v8 until v15 at the time of writing)</span></span>
<span id="cb9-3"><a href="#cb9-3"></a><span class="kw"><a href="https://haven.tidyverse.org/reference/read_dta.html">write_dta</a></span>(<span class="dt">data =</span> yourdata, <span class="dt">path =</span> <span class="st">"/path/to/file"</span>, <span class="dt">version =</span> <span class="dv">14</span>)</span></code></pre></div>
<div class="sourceCode" id="cb9"><html><body><pre class="r"><span class="co"># save as .dta file, Stata version 14:</span>
<span class="co"># (supports Stata v8 until v15 at the time of writing)</span>
<span class="fu"><a href="https://haven.tidyverse.org/reference/read_dta.html">write_dta</a></span>(<span class="kw">data</span> <span class="kw">=</span> <span class="no">yourdata</span>, <span class="kw">path</span> <span class="kw">=</span> <span class="st">"/path/to/file"</span>, <span class="kw">version</span> <span class="kw">=</span> <span class="fl">14</span>)</pre></body></html></div>
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@ -385,16 +385,9 @@
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<a href="#tocnav" class="anchor"></a>Contents</h2>
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<li><a href="#spss-sas-stata">SPSS / SAS / Stata</a></li>
<li><a href="#compared-to-r">Compared to R</a></li>
<li><a href="#import-data-from-spsssasstata">Import data from SPSS/SAS/Stata</a></li>
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