-
🎉🎉🎉 I am beyond excited to finally release ggraph v2, a major upgrade that has been in the works for years. If you are into #dataviz and network analysis, this is for you! #rstats https://t.co/CaiBqHLTfH
-
Looking for teaching material for intro to #rstats and the #tidyverse? I've made mine easier to reuse. Please help yourself: https://t.co/gFWZG5iAqO @rstudio @hadleywickham
-
📣 Now on CRAN. Neat pkg for importing and inspecting the messiest of spreadsheets… "tidycells: Read Tabular Data from Diverse Sources and Make Them Tidy" by @IndranilGayen https://t.co/6C6H3kPmnO #rstats https://t.co/hvZ4g97l5p
-
Excited to announce my next book project: mastering shiny, https://t.co/0mhQs57TDp. I didn’t write shiny, but I’m having fun writing about it! #rstats
-
Do you want to make beautiful plots w/ ggplot2? Check out @CedScherer's step-by-step walkthrough of how they evolved "a dreary gray boxplot to a self-explanatory, colorful visualization"! #rstats https://t.co/VGmlMa10Qv https://t.co/PScq0gdMpP
-
[on a date] her, a data scientist: and what would you name our kid if we had a girl? me: Iris her: *looking hopeful* after the flower? me: after the data set. her: *tearing up* that's right. that's the right answer. #rstats #epitwitter
-
I've been working on a total rewrite of dtplyr, which lets you take advantage of (almost all of) data.table's speed while using dplyr syntax. The package is still in development, but I'd love for you to try it out and let me know how it goes: https://t.co/MXogoZ2lvu #rstats
-
The {modelsummary} #rstats package is now available on CRAN. Create beautiful and endlessly customizable tables to display results from your statistical models. https://t.co/4JpeaqEtAi 1/n https://t.co/94BPdrGJqe
-
a <- factor(c("character", "in", "the", "streets")) b <- factor(c("integer", "in", "the", 'sheets')) c(a, b) #> [1] 1 2 4 3 2 1 4 3 #rstats
-
NEW POST: Reorder categories when facetting with ggplot2 #rstats https://t.co/Qne1sgtRhK https://t.co/gAkijh2C98