stevensanderson, to datascience
@stevensanderson@mstdn.social avatar

Got NA's in your data? Well, if you want to get rid of them then this post is for you!

#R

Post: https://www.spsanderson.com/steveondata/posts/2024-04-09/

cascadiarconf, to rstats

🚨 🚨 There's only a few hours left to purchase your Early Bird Tickets to attend . Sales end tonight at 11:59 pm PT. Don't miss out!‼

Purchase your early bird tickets today: https://lnkd.in/eJC33jks

To learn more about the conference, visit: https://cascadiarconf.com/

@rstats #R

stevensanderson, to datascience
@stevensanderson@mstdn.social avatar

Need some practice on merging data in #R well then this post is for you. It is not an exhuastive post but hopefully you learn something :)

#R

Post:https://www.spsanderson.com/steveondata/posts/2024-04-05/

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stevensanderson, to datascience
@stevensanderson@mstdn.social avatar

Merging data in R? Yes you can!

Post: https://www.spsanderson.com/steveondata/posts/2024-04-05/

#R

stevensanderson, to random
@stevensanderson@mstdn.social avatar

Need to visualize and scale multi-dimensional data? Well sometimes we do and this post is for you!

Post: https://www.spsanderson.com/steveondata/posts/2024-04-04/

#R

stevensanderson, to datascience
@stevensanderson@mstdn.social avatar

Data all over the place? Well there is always an option to #scale it :)

Post: https://www.spsanderson.com/steveondata/posts/2024-04-03/

#R #RStats #RProgramming #data #DataScience #DataScientist #Coding

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stevensanderson, to datascience
@stevensanderson@mstdn.social avatar

Ever struggle with features in your data overshadowing others due to different scales? Normalization can be your hero!

In R, there are ways to transform your data for a more even playing field. This post explores two popular methods:

  1. Z-score normalization
  2. Min-max scaling

#R #RStats #RProgramming #Coding #DataScience #DataScientist #Innovation #Technology #Data #PreProcessing #DataProcessing #scale

Post: https://www.spsanderson.com/steveondata/posts/2024-04-02/

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stevensanderson, to datascience
@stevensanderson@mstdn.social avatar

#Quantile #Normalization anyone?

Post: https://www.spsanderson.com/steveondata/posts/2024-03-28/

#R #RStats #RProgramming #Coding #Data #DataScience

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stevensanderson, to programming
@stevensanderson@mstdn.social avatar

gsub() anyone? Then this post is for you!

#R #RStats #RProgramming #Coding #Programming #Regex #RegularExpression

Post: https://www.spsanderson.com/steveondata/posts/2024-03-27/

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stevensanderson, to FunctionalProgramming
@stevensanderson@mstdn.social avatar

The map() function applies a function across vectors, lists, or data frames efficiently. Syntax: map(.x, .f, ...) where .x is data, .f is function, ... for extra args. Examples: square vector elements via ~.x^2, get means of column across list of data frames with ~mean(.x$y), apply custom functions to rows/cols like df$z <- map_dbl(df, add_cols).

#R

Post: https://www.spsanderson.com/steveondata/posts/2023-03-26/

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joncruz, to random
@joncruz@mstdn.social avatar

Anyone know of any good books to get a college sociology student up to speed on #R? For someone who is tech savvy but a non programmer.

stevensanderson, to Amazon
@stevensanderson@mstdn.social avatar

I am happy to announce that my page on is now up!

Profile: https://www.amazon.com/stores/Steven-P.-Sanderson/author/B0CZ157DHK?ref_=pe_2466670_811284380&isDramIntegrated=true&shoppingPortalEnabled=true

#R

stevensanderson, to random
@stevensanderson@mstdn.social avatar

tapply() in R is a powerful function for applying a specified function to subsets of data defined by one or more factors. It simplifies grouping and summarizing data, making it essential for data analysis tasks.

#R

Post: https://www.spsanderson.com/steveondata/posts/2024-03-25/

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stevensanderson, to programming
@stevensanderson@mstdn.social avatar

Ever heard of the sweep() function from #BaseR ? Well today it is the topic of my latest blog post!

Post: https://www.spsanderson.com/steveondata/posts/2024-03-22/

#R #RProgramming #Programming #Coding #Data #DataScience

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stevensanderson, to programming
@stevensanderson@mstdn.social avatar

Want to replace some data in a vector or a data.frame? Well replace() in base #R has your back.

Post: https://www.spsanderson.com/steveondata/posts/2024-03-21/

#R

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cascadiarconf, to Seattle

🚀 Exciting News!

Early bird tickets for 2024 are now live until April 8! Join us in June 21-22 for two days filled with insightful and on all things #R. Don't miss this opportunity to be part of a vibrant community of enthusiasts and experts.

Secure your spot now: https://www.eventbrite.com/e/cascadia-r-conf-2024-tickets-851137203287. Learn more about the at www.cascadiarconf.com. See you there!

@rstats

stevensanderson, to programming
@stevensanderson@mstdn.social avatar

Need to bin data in a controlled fashion? Well this post is for you! The cut() function in Base R.

Post: https://www.spsanderson.com/steveondata/posts/2024-03-20/

#R

stevensanderson, to datascience
@stevensanderson@mstdn.social avatar

Need to repeat values in a column, vector or entire rows in a data frame? Today's post is for you!

Post: https://www.spsanderson.com/steveondata/posts/2024-03-19/

#R

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stevensanderson, to random
@stevensanderson@mstdn.social avatar

As data analysts, we know that no model is perfect. Residuals, the differences between observed and predicted values, offer valuable insights into the strengths and weaknesses of our models. Introducing the plot_regression_residuals() function from the tidyAML R package - a game-changer for visualizing regression residuals.

#R #RStats #rprogramming #datascientist #dataanalysis #datamodeling #tidymodels #parsnip

Post: https://www.spsanderson.com/steveondata/posts/2024-03-18/

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stevensanderson, to machinelearning
@stevensanderson@mstdn.social avatar

A new release of tidyAML (v0.0.5) is now available on CRAN and GitHub!

New Features

  • Fix #217 - plot_regression_residuals()
  • Fix #215 - plot_regression_predictions()

Minor Fixes and Improvements

  • Fix #214 - Drop selection message from load_deps()
  • Fix #222 - Update fast_regression() and fast_classification()

#tidyverse #RStats #MachineLearning #DataScience #R #RProgramming #tidyaml #parsnip #tidymodels

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stevensanderson, to programming
@stevensanderson@mstdn.social avatar

Want a quick tutorial on performing sampling in #R ? Well then today's post is for you!

#R

Post: https://www.spsanderson.com/steveondata/posts/2024-03-12/

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stevensanderson, to datascience
@stevensanderson@mstdn.social avatar

Struggling with weird variable names in R? make.names to the rescue! This function wrangles your names into R-approved format (letters, numbers, periods, underscores). Bonus: set unique = TRUE for no duplicates! Try it on funky characters & data frames! 🪄 Master make.names and become an R name-wrangling pro! #R

Post: https://www.spsanderson.com/steveondata/posts/2024-03-11/

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stevensanderson, to programming
@stevensanderson@mstdn.social avatar

Post: https://www.spsanderson.com/steveondata/posts/2024-03-06/

#R

Adding factors to your data? See today's post!

stevensanderson, to random
@stevensanderson@mstdn.social avatar

🚀 Exciting news for R enthusiasts! My latest blog post shares techniques to rename factor levels in R, making categorical data more meaningful. From levels() to plyr and forcats, learn step by step with easy examples. Let's spark a conversation and elevate our R skills together!

#DataAnalysis #FactorLevels 🎉

Post: https://www.spsanderson.com/steveondata/posts/2024-03-05/

#R #RStats #RProgramming #Coding

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stevensanderson, to datascience
@stevensanderson@mstdn.social avatar

🚀 Elevate your data manipulation skills in R! Learn how to rename data frame columns with ease using base R functions like names(), colnames(), and setNames(). Clarity and consistency await – dive in and code like a pro! 💻 #RProgramming #DataScience #DataAnalysis #R #RStats #Coding

Post: https://www.spsanderson.com/steveondata/posts/2024-03-04/

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