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1000 results for “r_data_table”

  1. 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?

  2. 📢 News! A new version update of #biopixR is now available 🎉

    🔍 biopixR - Package for analysis of bioimage image data: Make your bioimaging workflow easier and more efficient with this tool.

    🌐 Just a few days ago, biopixR made its first public appearance on CRAN! Check it out here: <cran.r-project.org/package=bio>

    🤝 We've already received valuable feedback from the #rdatatable community with a pull request. Thanks! 🙏

    Let's keep this project growing and evolving together! 🚀 #BioImaging #rstats

  3. data challenge: rolling median

    library(data.table)
    set.seed(108)
    x = rnorm(1e8)
    n = 1000
    frollmedian(x, n) |> system.time()
    # user system elapsed
    # 8.439 0.727 3.212

  4. CW: unpopular opinion about Tidyverse

    @kernpanik Usually, I also try to stick to base or lightweight packages (, , , ...). Methinks, since most tutorial promote the tidyverse, some do not know base equivalent. However, base data frame operations may require more careful handling of row order, factor levels, and preserving the data frame structure. dplyr maintains a consistent behavior across grouped operations.

  5. CW: unpopular opinion about Tidyverse

    @kernpanik Usually, I also try to stick to base #rstats or lightweight packages (#tinyplot, #tinytable, #rdatatable, ...). Methinks, since most tutorial promote the tidyverse, some do not know base equivalent. However, base data frame operations may require more careful handling of row order, factor levels, and preserving the data frame structure. dplyr maintains a consistent behavior across grouped operations.

  6. CW: unpopular opinion about Tidyverse

    @kernpanik Usually, I also try to stick to base #rstats or lightweight packages (#tinyplot, #tinytable, #rdatatable, ...). Methinks, since most tutorial promote the tidyverse, some do not know base equivalent. However, base data frame operations may require more careful handling of row order, factor levels, and preserving the data frame structure. dplyr maintains a consistent behavior across grouped operations.

  7. CW: unpopular opinion about Tidyverse

    @kernpanik Usually, I also try to stick to base #rstats or lightweight packages (#tinyplot, #tinytable, #rdatatable, ...). Methinks, since most tutorial promote the tidyverse, some do not know base equivalent. However, base data frame operations may require more careful handling of row order, factor levels, and preserving the data frame structure. dplyr maintains a consistent behavior across grouped operations.

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

  9. 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?

  10. 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?

  11. 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?

  12. Introduction to R for Social Researchers: A Practical Course on Data Preparation, Visualisation, and Statistical Analysis by Alexandru Cernat is the featured course 🎓 on Leanpub!

    Link: leanpub.com/courses/leanpub/in

    #r #data_structures #databases #data_science

  13. Introduction to R for Social Researchers: A Practical Course on Data Preparation, Visualisation, and Statistical Analysis by Alexandru Cernat is the featured course 🎓 on Leanpub!

    Link: leanpub.com/courses/leanpub/in

    #r #data_structures #databases #data_science

  14. Introduction to R for Social Researchers: A Practical Course on Data Preparation, Visualisation, and Statistical Analysis by Alexandru Cernat is the featured course 🎓 on Leanpub!

    Link: leanpub.com/courses/leanpub/in

    #r #data_structures #databases #data_science

  15. Introduction to R for Social Researchers: A Practical Course on Data Preparation, Visualisation, and Statistical Analysis by Alexandru Cernat is the featured course 🎓 on Leanpub!

    Link: leanpub.com/courses/leanpub/in

    #r #data_structures #databases #data_science

  16. Don't Make This MISTAKE with R Data Classes !!!

    How to convert factors to the numeric data type without changing the factor level numbers in the R programming language.

    #rstats #datatypes #programming #dataframe

  17. 🌟 See nested loops in action! I've shared some quasi real-world #RStats examples showing how to handle complex data structures effectively. Explore the examples ➡️ www.spsanderson.com/steveondata/... #R #Data #Code #RProgramming #Programming #Loops #NestedLoops #Blog

  18. Major data breach: Info of Indians who took Covid vaccine made public by Telegram bot

    The News Minute used the Telegram bot and accessed details of several politicians including KTR, Kanimozhi, Annamalai and Karti Chidambaram, who confirmed that their details were authentic.

    #DataBreach #security #privacy #CoWin #aadhaar #RSSharma #telegram #DataProtection #cybersecurity #technology #india

    thenewsminute.com/article/majo

  19. Major data breach: Info of Indians who took Covid vaccine made public by Telegram bot

    The News Minute used the Telegram bot and accessed details of several politicians including KTR, Kanimozhi, Annamalai and Karti Chidambaram, who confirmed that their details were authentic.

    #DataBreach #security #privacy #CoWin #aadhaar #RSSharma #telegram #DataProtection #cybersecurity #technology #india

    thenewsminute.com/article/majo

  20. Major data breach: Info of Indians who took Covid vaccine made public by Telegram bot

    The News Minute used the Telegram bot and accessed details of several politicians including KTR, Kanimozhi, Annamalai and Karti Chidambaram, who confirmed that their details were authentic.

    #DataBreach #security #privacy #CoWin #aadhaar #RSSharma #telegram #DataProtection #cybersecurity #technology #india

    thenewsminute.com/article/majo