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#tidyverse — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #tidyverse, aggregated by home.social.

  1. | Comparaciones – RSF-Data Day | . Cambio en score de libertad de prensa 2024–2025 en paises de América. Creada usando R con , , , , y .

  2. #Día6 | Comparaciones – RSF-Data Day | #30DayChartChallenge. Cambio en score de libertad de prensa 2024–2025 en paises de América. Creada usando R con #tidyverse, #ggtext, #scales, #rnaturalearth, #rnaturalearthdata y #patchwork.

  3. 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: www.spsanderson.com/steveondata/... #R #RStats #tibble #dplyr #tidyverse #dataframe #baseR #blog

  4. 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: www.spsanderson.com/steveondata/... #R #RStats #tibble #dplyr #tidyverse #dataframe #baseR #blog

  5. If you are looking for data processors to get your data in line for the algo in question, then my #R #package { healthyR.ai } has you covered. These are based on using #tidymodels #parsnip from the #tidyverse www.spsanderson.com/healthyR.ai/... #RStats #Data #ModelData

  6. You can also use it with the #tidyverse as that is how it was designed and build off of. Mostly #parsnip #R #Programming

  7. Day 7 | Distributions– Outliers | . Visualization made with R using , , , , y . Data source: Sentinel-2 MSI (2019-2024)

  8. Day 7 | Distributions– Outliers | #30DayChartChallenge. Visualization made with R using #ggplot2, #tidyverse, #terra, #ggtext, #showtext y #sf. Data source: Sentinel-2 MSI (2019-2024)

  9. Day 6 | Comparisons – Florence Nightingale (theme day) | . Visualization made with R using , and . Data source: HDX - data.humdata.org/dataset/cod-p.

  10. Day 6 | Comparisons – Florence Nightingale (theme day) | #30DayChartChallenge. Visualization made with R using #tidyverse, #ggtext and #showtext. Data source: HDX - data.humdata.org/dataset/cod-p.

  11. Day 2 | Comparisons – Slope | . Analysis develop with R using , , , , , , y . Data source: Sentinel-2 MSI (2019-2024)

  12. Day 2 | Comparisons – Slope | #30DayChartChallenge. Analysis develop with R using #ggplot2, #tidyverse, #ggpmisc, , #terra, #ggtext, #showtext y #sf. Data source: Sentinel-2 MSI (2019-2024)

  13. Starting with #RMarkdown is a great way to introduce students to the world of #rstats. It's not just about teaching programming skills, but also about explaining other technologies like #LaTeX, #YAML, #Rnw, #markdown & #Rscript! 💻 And I'm convinced that we should focus on building a small solid foundation (#smallR 🙂 ). Think of base R (aggregate, subset, …), #rdatatable and graphics (#tinyplot) instead of diving straight into popular packages like #tidyverse. Let's keep it simple! Who's with me?

  14. @ERDonnachie @tgtads @datamaps

    I can't resist a #tidyverse vs. #baseR #rstats thread. 😅

    It is totally possible to work without tidyverse, and base R graphics can be incredibly flexible. If you'd like some examples, just this morning I uploaded yet another set of all-base #knitr supplemental files (osf.io/ht543), with very pretty (and highly useful) graphics, if I say so myself. (Tidyverse can be ok, but it's not at all required.)

  15. @ERDonnachie @tgtads @datamaps

    I can't resist a #tidyverse vs. #baseR #rstats thread. 😅

    It is totally possible to work without tidyverse, and base R graphics can be incredibly flexible. If you'd like some examples, just this morning I uploaded yet another set of all-base #knitr supplemental files (osf.io/ht543), with very pretty (and highly useful) graphics, if I say so myself. (Tidyverse can be ok, but it's not at all required.)

  16. Hey #rstats pals, #renv is kicking my BUTT! Really trying to create a #reproducible version of our results for a paper, but package installations keep failing. The latest one is that #readxl needs to install as part of #tidyverse, and I am getting totally incomprehensible error messages from Command Line Tools like "error: 'gid_t' has not been declared"! #help (Just to note that readxl and tidyverse work FINE in my normal workflow.)