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| − | * | + | * Instructors: Ilya Schurov and Olga Lyashevskaya |
| − | == | + | == Materials == |
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| − | ! | + | ! Data !! Topics !! Links |
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| − | | | + | | Jan 18 || Introduction. Quantitative linguistic research and data types. R basics || [https://docs.google.com/presentation/d/1VUIUa3Db5n4dsD_HeA3e-mz55zK8uPrko3yu207pKUk/edit?usp=sharing Intro Slides] [https://github.com/LingData2019/LingData2020/tree/master/seminars/2020-01-18 Lab 01: intro to R] |
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| − | | | + | | Jan 25 || Hypothesis testing. Binomial test. R: dataframes, tydyverse || [https://github.com/LingData2019/LingData2020/tree/master/seminars/2020-01-25 Lab 02] |
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| − | == | + | == Homeworks == |
| − | * [https://www. | + | * HW1: [https://github.com/LingData2019/LingData2020/blob/master/hw/LingData-HW1-theo.Rmd Rmd], [https://github.com/LingData2019/LingData2020/blob/master/hw/LingData-HW1-theo.pdf pdf]. Deadline: Feb. 9, 23:59:59. [https://www.dropbox.com/request/hblqeftXqVpJLj0miQwd Upload works here]. |
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| + | == Software == | ||
| + | During this course we will use R as a programming language and RStudio as a GUI. | ||
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| + | How to install R and RStudio? | ||
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| + | 1. Download [https://cran.r-project.org/ R] (you can choose another mirror here if you wish) and install it on your computer. Make sure you did it before installing RStudio. | ||
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| + | 2. Download [https://rstudio.com/products/rstudio/ RStudio] (you need RStudio Desktop Open Source License) and install it on your computer. It is recommended to create a shortcut for RStudio during installation. | ||
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| + | It is possible avoid installing anything on your PC, using [https://rstudio.cloud rstudio.cloud] (an online version of RStudio). | ||
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| + | For successful submission of assignments you should be able to create and save R code files (.R) and RMarkdown files (.Rmd). | ||
Версия 19:53, 7 февраля 2020
- Instructors: Ilya Schurov and Olga Lyashevskaya
Materials
| Data | Topics | Links |
|---|---|---|
| Jan 18 | Introduction. Quantitative linguistic research and data types. R basics | Intro Slides Lab 01: intro to R |
| Jan 25 | Hypothesis testing. Binomial test. R: dataframes, tydyverse | Lab 02 |
Homeworks
- HW1: Rmd, pdf. Deadline: Feb. 9, 23:59:59. Upload works here.
Software
During this course we will use R as a programming language and RStudio as a GUI.
How to install R and RStudio?
1. Download R (you can choose another mirror here if you wish) and install it on your computer. Make sure you did it before installing RStudio.
2. Download RStudio (you need RStudio Desktop Open Source License) and install it on your computer. It is recommended to create a shortcut for RStudio during installation.
It is possible avoid installing anything on your PC, using rstudio.cloud (an online version of RStudio).
For successful submission of assignments you should be able to create and save R code files (.R) and RMarkdown files (.Rmd).
