stevensanderson, to random
@stevensanderson@mstdn.social avatar

👍 In R, you can easily extract specific columns from a data frame by their numerical positions. For instance, to grab the second column from a data frame df, you can use df[, 2].

🙅‍♂️ You can also exclude columns by using negative indexing, such as df[, -2] to exclude the second column.

Keep exploring and happy coding!

#R

Post: https://www.spsanderson.com/steveondata/posts/2024-05-08/

image/png

StatisticsGlobe, to random
@StatisticsGlobe@mastodon.social avatar

How to Confuse an R Programmer!

How to confuse a programmer in the R programming language. Why does this happen when you extract only one column from your data frame?

video/mp4

stevensanderson, to datascience
@stevensanderson@mstdn.social avatar

if you're ready to level up your data manipulation skills, give intersect() a spin and let your insights shine! 🌈 Embrace the world of R and keep growing as a data wizard! 🧙‍♂️ Happy coding! 🎉

#RProgramming #DataAnalysis #DataScience #DataManipulation #DataWizardry

Post: https://www.spsanderson.com/steveondata/posts/2023-07-28/

stevensanderson, to random
@stevensanderson@mstdn.social avatar

🚀 Supercharge Your Text Manipulation in R with paste() and cat()!

Ready to amaze yourself? 🤩 Mix and match with other R functions and explore diverse text manipulations. Whether you're dealing with data or crafting beautiful displays, paste() and cat() have got your back!

So why wait? Dive into the R text magic, unleash your creativity, and make your coding sparkle! ✨💻 #RProgramming #DataManipulation #CodingMagic #LinkedInLearning

See attached!

Post: https://www.spsanderson.com/steveondata/posts/2023-07-21/

stevensanderson, to random
@stevensanderson@mstdn.social avatar

I encourage you to roll up your sleeves and give it a try yourself. 💪🔍

Read the full blog post and start your exploration. Let's dive in and level up your data analysis game! 🚀📊

https://www.spsanderson.com/steveondata/posts/2023-07-17/

#Rprogramming #DataAnalysis #DuplicatesDetection #dplyr #BaseR #DataManipulation

stevensanderson, to random
@stevensanderson@mstdn.social avatar

The rep() function allows you to efficiently repeat elements of a vector or a specified value. Its syntax is straightforward: rep(x, times, each). The x parameter represents the element to be repeated, times determines the number of repetitions, and each (optional) specifies how many times each element should be repeated before moving to the next.

#RProgramming #Repetition #CodingTips #DataManipulation

  • All
  • Subscribed
  • Moderated
  • Favorites
  • JUstTest
  • everett
  • rosin
  • Youngstown
  • ngwrru68w68
  • khanakhh
  • slotface
  • InstantRegret
  • mdbf
  • GTA5RPClips
  • kavyap
  • thenastyranch
  • DreamBathrooms
  • magazineikmin
  • anitta
  • tacticalgear
  • tester
  • Durango
  • cubers
  • ethstaker
  • cisconetworking
  • modclub
  • osvaldo12
  • Leos
  • normalnudes
  • megavids
  • provamag3
  • lostlight
  • All magazines