Search for tag: "packages"
IAWEL RMDA: R Cheats ggstatsplotAnother of my all time favourite packages for making R easier and more useful is 'ggstatsplot'. Whether you use it for data exploration or publication ready plots, this package is so useful
From Jill MacKay
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IAWEL RMDA: R Cheats easystatsThe 'easystats' packages are one of my favourite package collections, 'R cheats', something that will make your life so much easier.
From Jill MacKay
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IAWEL RMDA: Introduction to R MarkdownIn this video, we explore what an R Markdown file, how to render files into word and html formats, and how to execute code chunks in R Markdown files.
From Jill MacKay
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IAWEL RMDA: Tips and Troubleshooting in RIn this video we cover some tips about loading packages, specifying functions from packages, specifying variables in datasets, and how to interpret warnings and errors in R
From Jill MacKay
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IAWEL RMDA: Introduction to R StudioThis video is for the RMDA course on the IAWEL programme. It provides a basic overview of R Studio
From Jill MacKay
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Introduction to R: Part 1This video is Part 1/3. This event aligns with the Digital creation, problem solving and innovation competency on the University's Digital Skills Framework. This course is aimed for those who…
From Catherine Koppe
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FDM Apache Spark SetupPlease view this video for a run through of the instructions supplied in the repository readme at https://git.ecdf.ed.ac.uk/epcc-msc-resources/apache-spark-on-cirrus. Creating the environment…
From Chris Wood
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tidyqpcr - Sam HaynesSoftware is intended to be a tool used to complete tasks efficiently. However, the intent is not always matched by the execution as users may become frustrated with design idiosyncrasies or…
From Kerry Miller
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Q&A - where should we be at now and how do we separate the parts?Mechanical Engineering Discipline Course: Sustainable Energy Design Project 3 Lecture: Q&A video response
From Parvez Alam
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FDS-S2-05-1-3 Data and code managementWe discuss the differing management requirements of data and code.
From David Sterratt
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FDS-S2-05-1-1 Reproducible researchWe discuss reproducible research, the motivation for aspects of software engineering practices in data science.
From David Sterratt
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IDS - Week 08 - 03 - Fitting and interpreting modelsFitting and interpreting models with numerical and categorical predictors.
From Mine Cetinkaya-Rundel
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IDS - Week 03 - 03 - Grammar of data wranglingA grammar of data wrangling with dplyr and an official welcome to the pipe operator
From Mine Cetinkaya-Rundel
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IDS - Week 01 - 05 - Meet the toolkit: ProgrammingIntroduction to the programming toolkit of the course: R RStudio tidyverse R Markdown
From Mine Cetinkaya-Rundel
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Teaching R online with RStudio CloudThe first workshop in our 'Teaching Statistics and Data Science Online' series, presented by Dr. Mine Çetinkaya-Rundel and Dr. Colin Rundel. RStudio Cloud is a lightweight and easy…
From Belle Taylor
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