about learning R programming
Learning R from Scratch
Claim This Podcastby Richard Treves
5 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇬🇧
Podcast Overview
about learning R programming
Language
🇺🇲
Publishing Since
11/13/2019
1 verified contact email on file for Learning R from Scratch
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
August 21, 2020
Ep5] Cleaning Data, loops and Vectorisation
2] Cleaning Data: To remove a column 'col' in a dataframe 'data' using null, the command is: data$col <- NULL How to apply hash strings (a series of unreadable text) to replace important data e.g. full names. https://cran.r-project.org/web/packages/openssl/vignettes/crypto_hashing.html 3] For Loops: The code I discussed For (i in 1:10){ commands to be written here in a series of lines } 4] Vectorisation: The explanation of apply (and related commands like 'lapply') I used is here https://www.guru99.com/r-apply-sapply-tapply.html
May 24, 2020
Ep4] New Moodle project, Acquiring data
This week I discuss a new Moodle project and how I've been using R to process and visualise students use of educational materials. Part 1] A New Problem What is Moodle? Note that my University doesn't use the latest version of Moodle. Part 2] Acquiring data How to download logs from Moodle Part 3] General Points about R from the project See 'Scripts' in this chapter Part 4] Plot_ly Examples of using Plotly with r, this free online text book teaches more about how to use Plotly
February 17, 2020
Ep3] Data Frames, If & Scripts
Shownotes R from Scratch Ep3 1] Packages HowTo install into RStudio 2] Dataframes Introduction to dataframes 3] Scripts in R Introduction to scripts in RStudio 4] If statements in R Introduction to If statements in R 5] Cleaning data in R Introduction to cleaning data in R 7] Shiny
5 total episodes available
Deep-dive analytics for Learning R from Scratch
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Learning R from Scratch?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.