Linguistic Data: Quantitative Analysis and Visualisation: linguistic theory: различия между версиями

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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]
 
| 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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| Jan 25 || Hypothesis testing. Binomial test. R: dataframes || [https://github.com/LingData2019/LingData2020/tree/master/seminars/2020-01-25 Lab 02]
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| Feb 1
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| Estimating of population mean. Central Limit Theorem
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| Simulations. Test of central limit theorem
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| Feb 8
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| One sample t-test
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| Working with dataframes. Selection by condition.
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|-
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| Two sample t-test
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| Usage of <code>t.test</code> to perform two-sample t.test. [https://rpubs.com/ilyaschurov/ttest2-2020 notebook]
 
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Версия 21:20, 17 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 Lab 02
Feb 1 Estimating of population mean. Central Limit Theorem Simulations. Test of central limit theorem
Feb 8 One sample t-test Working with dataframes. Selection by condition.
Two sample t-test Usage of t.test to perform two-sample t.test. notebook

Homeworks

id links due date upload link
HW1 Rmd, pdf Feb. 9, 23:59:59 here
HW2 Rmd, pdf Feb. 24, 23:59:59 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).