<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="https://www.r-bloggers.com/presenting-weighted-effect-coding/"></div></div><div><a data-url="https://www.r-bloggers.com/presenting-weighted-effect-coding/" data-counturl="https://www.r-bloggers.com/presenting-weighted-effect-coding/" data-count="horizontal" data-text="Presenting Weighted Effect Coding" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="http://www.rensenieuwenhuis.nl/presenting-weighted-effect-coding/"> Rense Nieuwenhuis » R-Project</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>Weighted effect coding is a variant of dummy coding to include categorical variables in regression analyses, in which the estimate for each category represents the deviation of that category from the sample mean. The ‘wec’ package for R provides tools to use weighted effect coding. </p>
<p>Manfred te Grotenhuis is currently visiting the Swedish Institute of Social Research (SOFI), where he presented our joint work on Weighted Effect Coding. The recoding of his presentation is available on <a target="_blank" rel="nofollow" href="https://www.youtube.com/channel/UCr82jaFtrWr4aKrca-erDXQ">Manfred’s YouTube channel</a>, and embedded below:</p>
<p><span><iframe height="689" width="1170" allowfullscreen="true" src="http://www.youtube.com/embed/TTLde6HVfOg?version=3&rel=1&%23038;fs=1&%23038;autohide=2&%23038;showsearch=0&%23038;showinfo=1&%23038;iv_load_policy=1&%23038;wmode=transparent" type="text/html"></iframe></span></p>
<p>The relevant papers are available here (open access):</p>
<ul>
<li><a target="_blank" rel="nofollow" href="http://link.springer.com/article/10.1007/s00038-016-0901-1">When size matters: advantages of weighted effect coding in observational studies</a></li>
<li><a target="_blank" rel="nofollow" href="http://link.springer.com/article/10.1007/s00038-016-0902-0">A novel method for modelling interaction between categorical variables</a></li>
</ul>
<p>More information, as well as software for SPSS and STATA are available from the <a target="_blank" rel="nofollow" href="http://www.ru.nl/sociology/mt/wec/downloads/">project website</a>. </p>
<p>ps. Stay updated for an exciting update to the ‘wec’ R package!</p>
<p><div><div><div><div data-width="55" data-show-faces="false" data-send="true" data-layout="box_count" data-height="62" data-href="https://www.r-bloggers.com/presenting-weighted-effect-coding/"></div></div><div><a data-url="https://www.r-bloggers.com/presenting-weighted-effect-coding/" data-counturl="https://www.r-bloggers.com/presenting-weighted-effect-coding/" data-count="vertical" data-text="Presenting Weighted Effect Coding" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
<div>
<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://www.rensenieuwenhuis.nl/presenting-weighted-effect-coding/"> Rense Nieuwenhuis » R-Project</a></strong>.</div>
<hr>
<a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers.com</a> offers <strong><a rel="nofollow" href="https://feedburner.google.com/fb/a/mailverify?uri=RBloggers">daily e-mail updates</a></strong> about <a title="The R Project for Statistical Computing" rel="nofollow" href="https://www.r-project.org/">R</a> news and <a title="R tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=tutorial">tutorials</a> on topics such as: <a title="Data science" rel="nofollow" href="https://www.r-bloggers.com/?s=data%20science">Data science</a>, <a title="Big Data" rel="nofollow" href="https://www.r-bloggers.com/?s=Big%20Data">Big Data, <a title="R jobs" rel="nofollow" href="https://www.r-users.com/">R jobs</a>, visualization (<a title="ggplot and ggplot2 tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=ggplot2">ggplot2</a>, <a title="Boxplots using lattice and ggplot2 tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=boxplot">Boxplots</a>, <a title="Maps and gis" rel="nofollow" href="https://www.r-bloggers.com/?s=map">maps</a>, <a title="Animation in R" rel="nofollow" href="https://www.r-bloggers.com/?s=animation">animation</a>), programming (<a title="RStudio IDE for R" rel="nofollow" href="https://www.r-bloggers.com/?s=RStudio">RStudio</a>, <a title="Sweave and literate programming" rel="nofollow" href="https://www.r-bloggers.com/?s=sweave">Sweave</a>, <a title="LaTeX in R" rel="nofollow" href="https://www.r-bloggers.com/?s=LaTeX">LaTeX</a>, <a title="SQL and databases" rel="nofollow" href="https://www.r-bloggers.com/?s=SQL">SQL</a>, <a title="Eclipse IDE for R" rel="nofollow" href="https://www.r-bloggers.com/?s=eclipse">Eclipse</a>, <a title="git and github, Version Control System" rel="nofollow" href="https://www.r-bloggers.com/?s=git">git</a>, <a title="Large data in R using Hadoop" rel="nofollow" href="https://www.r-bloggers.com/?s=hadoop">hadoop</a>, <a title="Web Scraping of google, facebook, yahoo, twitter and more using R" rel="nofollow" href="https://www.r-bloggers.com/?s=Web+Scraping">Web Scraping</a>) statistics (<a title="Regressions and ANOVA analysis tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=regression">regression</a>, <a title="principal component analysis tutorial" rel="nofollow" href="https://www.r-bloggers.com/?s=PCA">PCA</a>, <a title="Time series" rel="nofollow" href="https://www.r-bloggers.com/?s=time+series">time series</a>, <a title="finance trading" rel="nofollow" href="https://www.r-bloggers.com/?s=trading">trading</a>) and more...
<img height="1" alt="" width="1" src="http://feeds.feedburner.com/~r/RBloggers/~4/WZgCkDVmNik"></a></div>