Nicole and I will be running an *Intro to Functional Programming in R* workshop coming up soon and if you're an R programmer looking to learn about new ways you can use functions including with the #purrr package, definitely join!
It'll be a great time and I hope to see you there 🎉 💻
Latest #fishR post demonstrates using age-length keys to efficiently assign estimated ages to unaged fish in multiple groups (e.g., multiple times, areas). Data from Schall et al. (2020) used for the real example.
https://fishr-core-team.github.io/fishR/blog/posts/2023-4-23_Multiple_ALKs/
#fishr #purrr #rstats #fishsci
Want to learn about {purrr} & the updates in the 1.0.0 release?
In this video @hadleywickham introduces {purrr} & shares some of his favorite highlights of this release (hint: progress bars, better error messages, some new map & list functions, & more).
Whether you’re a “cat”-egorical beginner or a seasoned functional programming “purr”-fessional, you can pounce on this opportunity to check out what’s new in {purrr}.
#rstats #tidyverse #purrr #functionalprogramming
Cumulative mean is a statistical measure that calculates the mean of a set of numbers up to a certain point in time or after a certain number of observations. It is also known as a running average or moving average.
Cumulative mean can be useful in a variety of contexts. For example:
Tracking progress, Analyzing trends, Smoothing data
Post: https://www.spsanderson.com/steveondata/posts/rtip-2023-03-22/
#data #innovation #technology #r #rstats #cumulative #purrr #tidy #map #opensource #opensourcesoftware #software
#Software #opensourcesoftware #OpenSource #Map #tidy #purrr #cumulative #RStats #r #Technology #innovation #Data
New Blog Post:
How to Win a Game (or More) of Super Six
#rstats #gametheory #decisionmaking #purrr
Are you a New Yorker who relies on heating oil to keep your home warm during the winter months? Keeping track of heating oil prices is essential for making informed decisions about when to buy and how much to purchase. With the help of R, accessing and visualizing the latest heating oil prices in New York is easier than ever before.
Link to the blog post: https://www.spsanderson.com/steveondata/posts/rtip-2023-03-08/
#R #heatingoil #NewYork #datavisualization #timetk #dplyr #xml2 #rvest #oil #heatingoil #nys #purrr #lubridate
#lubridate #purrr #nys #oil #rvest #xml2 #dplyr #timetk #datavisualization #NewYork #heatingoil #r
imap() is a powerful and flexible function that can be used in many different contexts. Whether you're working with lists, vectors, or other data structures, imap() can help you iterate over them while keeping track of the index or name of each element. Give it a try!
Post: https://www.spsanderson.com/steveondata/posts/rtip-2023-03-06/
#technology #innovation #lists #listobject #r #rstats #opensource #software #tidyverse #purrr #programming #coding
#Coding #Programming #purrr #tidyverse #Software #OpenSource #RStats #r #listobject #lists #innovation #Technology
pmap() is a powerful function that allows you to apply a function to a list of arguments in parallel, meaning that each call is executed concurrently. This can help speed up your computations, particularly when working with large datasets or complex functions.
Post: https://www.spsanderson.com/steveondata/posts/rtip-2023-03-03/
#Rprogramming #dataanalysis #parallelcomputing #purrr #tidyverse #lists #map #functions #innovation #technology #r #rstats #software
#Software #RStats #r #Technology #innovation #functions #Map #lists #tidyverse #purrr #ParallelComputing #dataanalysis #rprogramming
I dropped my jacket on the floor and then found Dr Sassafras making biscuits on it and purring loudly #cats #purrr #catfrendly
It's official!! My new R package {tidyAML} is out on CRAN
This is a 0.0.1 release and will serve as the basis of what the package can mature into.
#tidyAML #tidymodels #machinelearning #Rprogramming #CRAN #AutoML #r #rstats #opensource #innovation #technology #opensourcesoftware #software #softwareengineering #tidymodels #parsnip #purrr
See attached!
Post: https://www.spsanderson.com/steveondata/posts/rtip-2023-02-16/
#purrr #parsnip #softwareengineering #Software #opensourcesoftware #Technology #innovation #OpenSource #RStats #r #automl #cran #rprogramming #MachineLearning #tidymodels #tidyaml
#RStats #OpenSource #purrr or #lapply #r
A) lapply()
B) purrr
#r #lapply #purrr #OpenSource #RStats
I have been working on my #r #package 📦 {tidyAML} and most likely in a month or so the initial release will be ready. You can however if interested install the current version from #github now.
In today's post I am going to talk about a function I am thinking of introducing called at the moment argument_matcher().
Post: https://www.spsanderson.com/steveondata/posts/rtip-2023-02-03/
#rstats #innovation #automl #parsnip #opensourcesoftware #softwaredeveloper #softwareengineering #datamodeling #datascientist #parsnip #purrr
#purrr #DataScientist #datamodeling #softwareengineering #softwaredeveloper #opensourcesoftware #parsnip #automl #innovation #RStats #GitHub #package #r
I came across a problem last night where I wanted to filter list input from a user when they pass items to a parameter for a function that will come in my #tidyaml #package and wanted to share how nice and useful it is.
Post: https://www.spsanderson.com/steveondata/posts/rtip-2023-01-25/
#Rprogramming #DataFiltering #DataAnalysis #purrr #keep #dataanalytics #list #listobject #tidyverse #data #share #RStats #OpenSource
#OpenSource #RStats #share #Data #tidyverse #listobject #list #dataanalytics #keep #purrr #dataanalysis #DataFiltering #rprogramming #package #tidyaml
RT @ChBurkhart@twitter.com
#purrr is a massive package that, once mastered, will allow you to solve many of your data problems more effectively. In my first purrr tutorial, I dive deep into the map family of functions.
Writing it was a joy, so here it is: https://christianb.gumroad.com/l/tidyverse-booster
🐦🔗: https://twitter.com/ChBurkhart/status/1617558778701877248
Been struggling with an #RSpatial problem today, wondering if anyone here has any insights:
I want to find the nearest polygon to a point excluding the polygon that contains the point.
Been working with st_nearest_feature and excluding the containing poly from the dataset but wondering if there is a better way as I have a lot of points... Also struggling to work with sf and purrr together but that's another question!
#rspatial #rstats #geocomputation #sf #purrr
Yesterday I posted on An Update to {tidyAML} where I was discussing some of my thought process and how things could potentially work for the package.
Post: https://www.spsanderson.com/steveondata/posts/weekly-rtip-tidyaml-2023-01-13/
#tidyaml #tidyverse #tidymodels #purrr #parsnip #automl #regression #classification #modelspecification #datamodeling #RStats #OpenSource
#OpenSource #RStats #datamodeling #modelspecification #classification #regression #automl #parsnip #purrr #tidymodels #tidyverse #tidyaml