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<rss version="2.0"><channel><description>3rd year PhD Student in Statistical Graphics. Dog aficionado. Candy connoisseur.</description><link>https://bsky.app/profile/harriet-mason.bsky.social</link><title>@harriet-mason.bsky.social - Harriet Mason</title><item><link>https://bsky.app/profile/harriet-mason.bsky.social/post/3m7dc7rd4bs2t</link><description>HEY! YOU! ggdibbler 0.6.1 is finally up on CRAN! &#xA;&#xA;https://harriet-mason.github.io/ggdibbler/index.html&#xA;&#xA;You can now pass random variables to any aesthetic in any ggplot geom/stat. If you can express it as a distribution, ggdibbler can plot it. It also works with ggplot extensions, like gganimate. #rstats</description><pubDate>06 Dec 2025 15:16 +0000</pubDate><guid isPermaLink="false">at://did:plc:f3mqmlihkuwypjgueohock5a/app.bsky.feed.post/3m7dc7rd4bs2t</guid></item><item><link>https://bsky.app/profile/harriet-mason.bsky.social/post/3lw32qan6jc2g</link><description>Just finished at #useR2025 and had a great time! Especially because I had an opportunity to present ggdibbler.&#xA;&#xA;The slides from my talk are available here: https://harriet-mason.github.io/talk_useR-2025/#/title-slide  (Although they are a bit confusing out of context)</description><pubDate>10 Aug 2025 19:54 +0000</pubDate><guid isPermaLink="false">at://did:plc:f3mqmlihkuwypjgueohock5a/app.bsky.feed.post/3lw32qan6jc2g</guid></item></channel></rss>