eupolicy.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
This Mastodon server is a friendly and respectful discussion space for people working in areas related to EU policy. When you request to create an account, please tell us something about you.

Server stats:

226
active users

#dplyr

0 posts0 participants0 posts today
Dr Micha Campbell<p>Hey <a href="https://fediscience.org/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a> hivemind, can someone sanity check me?</p><p>for some reason filtering with a value assigned to 'x' isn't working here (I was trying to make a dummy dataset for an lapply + ggplot problem I'm having, and instrad have bumped into this weird inconcistency).</p><p>df &lt;- data.frame(name = c("delta^13*C", "delta^13*C", "delta^18*O", "delta^18*O"),<br> x = c(1,1, 2, 2),<br> y = c(1,3, 5, 4))</p><p>x &lt;- "delta^13*C"</p><p> df %&gt;% <br> filter(name == x)<br> <br> # [1] name x y <br> # &lt;0 rows&gt; (or 0-length row.names)<br> <br> df %&gt;% <br> filter(name == "delta^13*C")</p><p> # name x y<br> # delta^13*C 1 1<br> # delta^13*C 1 3</p><p><a href="https://fediscience.org/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a></p>
Steven P. Sanderson II, MPH<p>I've talked about creating data.frames and tibbles before, but it is an important topic so I have covered it again. This time specifically from the perspective of creating them from vectors. Post: <a href="https://www.spsanderson.com/steveondata/posts/2025-06-09/" rel="nofollow noopener" target="_blank">www.spsanderson.com/steveondata/...</a> <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23R" target="_blank">#R</a> <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23RStats" target="_blank">#RStats</a> <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23tibble" target="_blank">#tibble</a> <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23dplyr" target="_blank">#dplyr</a> <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23tidyverse" target="_blank">#tidyverse</a> <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23dataframe" target="_blank">#dataframe</a> <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23baseR" target="_blank">#baseR</a> <a class="hashtag" rel="nofollow noopener" href="https://bsky.app/search?q=%23blog" target="_blank">#blog</a></p>
Steven Sanderson<p>I've talked about creating data.frames and tibbles before, but it is an important topic so I have covered it again. This time specifically from the perspective of creating them from vectors.</p><p>Post: <a href="https://www.spsanderson.com/steveondata/posts/2025-06-09/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">spsanderson.com/steveondata/po</span><span class="invisible">sts/2025-06-09/</span></a></p><p><a href="https://rstats.me/tags/R" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>R</span></a> <a href="https://rstats.me/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a> <a href="https://rstats.me/tags/tibble" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tibble</span></a> <a href="https://rstats.me/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a> <a href="https://rstats.me/tags/tidyverse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidyverse</span></a> <a href="https://rstats.me/tags/dataframe" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataframe</span></a> <a href="https://rstats.me/tags/baseR" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>baseR</span></a> <a href="https://rstats.me/tags/blog" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>blog</span></a> <a href="https://rstats.me/tags/Technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Technology</span></a></p>
Steven P. Sanderson II, MPH<p>I've talked about creating data.frames and tibbles before, but it is an important topic so I have covered it again. This time specifically from the perspective of creating them from vectors.</p><p>Post: <a href="https://www.spsanderson.com/steveondata/posts/2025-06-09/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">spsanderson.com/steveondata/po</span><span class="invisible">sts/2025-06-09/</span></a></p><p><a href="https://mstdn.social/tags/R" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>R</span></a> <a href="https://mstdn.social/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a> <a href="https://mstdn.social/tags/tibble" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tibble</span></a> <a href="https://mstdn.social/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a> <a href="https://mstdn.social/tags/tidyverse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidyverse</span></a> <a href="https://mstdn.social/tags/dataframe" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataframe</span></a> <a href="https://mstdn.social/tags/baseR" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>baseR</span></a> <a href="https://mstdn.social/tags/blog" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>blog</span></a> <a href="https://mstdn.social/tags/Technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Technology</span></a></p>
Eric R. Scott<p>There are now so many "backends" for {dplyr}—duckdb with {duckplyr}, polars with {tidypolars}, various database engines with {dbplyr}, {data.table} with {dtplyr}. Is there a blog post or flow chart somewhere with pros and cons of each? Like, comparisons of memory requirements, speed, and how likely they are to "just work"?</p><p><a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> <a href="https://fosstodon.org/tags/duckdb" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>duckdb</span></a> <a href="https://fosstodon.org/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a> <a href="https://fosstodon.org/tags/tidyverse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidyverse</span></a> <a href="https://fosstodon.org/tags/polars" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>polars</span></a></p>
Job Nmadu @nnjob.bsky.social<p><a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> <a href="https://mastodon.social/tags/tidyverse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidyverse</span></a> <a href="https://mastodon.social/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a> I have tried to resolve this error in few days back but looks weird. The error in 5 was thrown up when the function in 1 was called. The traceback of the error is 4 which points to an object in 3 that was created in 2. No error shows when the codes are run in sequence.</p>
Jonathan Carroll<p>Interesting to try out the DataFrame module in <a href="https://fosstodon.org/tags/haskell" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>haskell</span></a> :haskell: with some <a href="https://fosstodon.org/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a> familiarity <a href="https://github.com/mchav/dataframe" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/mchav/dataframe</span><span class="invisible"></span></a> - it's definitely not somewhere I'd start for analysing data, but I've been curious as to whether or not it was even possible with strict typing. It looks like it is!</p>
Statistics Globe<p>Efficient data manipulation is essential when working with large data sets, and dplyr in R makes row and column operations simple and intuitive by offering a consistent set of functions that abstract away complexity, enabling users to focus on data analysis rather than technical implementation.</p><p>I've created a new video tutorial on this: <a href="https://www.youtube.com/watch?v=OpNQ4zhvVZc" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=OpNQ4zhvVZ</span><span class="invisible">c</span></a></p><p>This is also a teaser for my online course: <a href="https://statisticsglobe.com/online-course-data-manipulation-r-dplyr-tidyverse" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">statisticsglobe.com/online-cou</span><span class="invisible">rse-data-manipulation-r-dplyr-tidyverse</span></a></p><p><a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> <a href="https://mastodon.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://mastodon.social/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a> <a href="https://mastodon.social/tags/tidyverse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidyverse</span></a></p>
Statistics Globe<p>Base R is great, but the tidyverse makes R programming even better!</p><p>The tidyverse is a collection of R packages designed for data science that provides a consistent, readable, and powerful set of tools for data manipulation and visualization, making complex tasks simpler and more efficient.</p><p>I've created a comprehensive online course, "Data Manipulation in R Using dplyr &amp; the tidyverse," starting on July 15. More info: <a href="https://statisticsglobe.com/online-course-data-manipulation-r-dplyr-tidyverse" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">statisticsglobe.com/online-cou</span><span class="invisible">rse-data-manipulation-r-dplyr-tidyverse</span></a></p><p><a href="https://mastodon.social/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a> <a href="https://mastodon.social/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a> <a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a></p>
Nikos Tsardakas Renhuldt<p>I'd really like <a href="https://scholar.social/tags/awk" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>awk</span></a> with <a href="https://scholar.social/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a> select semantics. Or, I guess what I really want is a good way of streaming through a file in <a href="https://scholar.social/tags/Rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Rstats</span></a> without running into memory issues when I'm doing basic filtering. It feels like this should be doable in R using <a href="https://scholar.social/tags/arrow" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>arrow</span></a> or <a href="https://scholar.social/tags/duckdb" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>duckdb</span></a> or even read_delim_chunked or something, but I haven't gotten it to work reliably yet. What are y'all's best tips to do handle this?</p>
kaateeh :heart_cyber: :pipverified: :donor:<p>on 20th day of my <a href="https://infosec.exchange/tags/100DaysOfCoding" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>100DaysOfCoding</span></a> I continued to practice data manipulation using <a href="https://infosec.exchange/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a> and <a href="https://infosec.exchange/tags/ggplot2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggplot2</span></a>. I can't wait to know more <a href="https://infosec.exchange/tags/R" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>R</span></a> and <a href="https://infosec.exchange/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a> to start a real play!</p>
Posit<p>We’re thrilled to announce dplyr powered by DuckDB: duckplyr 🎉</p><p>A collaboration between the dplyr project team at Posit, cynkra, and DuckDB, duckplyr is a powerful new option that marries the user-friendly dplyr syntax with the execution capabilities of DuckDB.</p><p>Learn more: <a href="https://posit.co/blog/duckplyr-dplyr-powered-by-duckdb/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">posit.co/blog/duckplyr-dplyr-p</span><span class="invisible">owered-by-duckdb/</span></a></p><p><a href="https://fosstodon.org/tags/tidyverse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidyverse</span></a> <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a> <a href="https://fosstodon.org/tags/duckdb" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>duckdb</span></a> <a href="https://fosstodon.org/tags/sql" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sql</span></a> <a href="https://fosstodon.org/tags/dplyr" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dplyr</span></a></p>