http://math-info.hse.ru/wiki2018-19/index.php?title=Linguistic_Data:_Quantitative_Analysis_and_Visualisation_for_theoretical_linguists&feed=atom&action=historyLinguistic Data: Quantitative Analysis and Visualisation for theoretical linguists - История изменений2024-03-29T10:14:28ZИстория изменений этой страницы в викиMediaWiki 1.34.0http://math-info.hse.ru/wiki2018-19/index.php?title=Linguistic_Data:_Quantitative_Analysis_and_Visualisation_for_theoretical_linguists&diff=95&oldid=prevAlena Manuzina в 01:11, 7 февраля 20202020-02-07T01:11:11Z<p></p>
<a href="http://math-info.hse.ru/wiki2018-19/index.php?title=Linguistic_Data:_Quantitative_Analysis_and_Visualisation_for_theoretical_linguists&diff=95&oldid=53">Внесённые изменения</a>Alena Manuzinahttp://math-info.hse.ru/wiki2018-19/index.php?title=Linguistic_Data:_Quantitative_Analysis_and_Visualisation_for_theoretical_linguists&diff=53&oldid=prevAlena Manuzina: Новая страница: «==Course info== Dear students, Here will be published the materials of the course '''"Linguistic Data: Quantitative Analysis and Visualisation"''', taught at t...»2020-02-05T20:08:49Z<p>Новая страница: «==Course info== Dear students, Here will be published the materials of the course '''"Linguistic Data: Quantitative Analysis and Visualisation"''', taught at t...»</p>
<p><b>Новая страница</b></p><div>==Course info==<br />
<br />
Dear students, <br />
<br />
Here will be published the materials of the course '''"Linguistic Data: Quantitative Analysis and Visualisation"''', taught at the Master programme '''"Linguistic Theory and Language Description"''' in 2018-2019 academic year. <br />
<br />
* Instructors: Olga Lyashevskaya, George Moroz, Alla Tambovtseva and Ilya Schurov. <br />
<br />
* Modules: 3-4 <br />
<br />
==Software==<br />
<br />
During this course we will use R as a programming language and RStudio as a GUI. <br />
<br />
'''How to install R and RStudio?''' <br />
<br />
1. Download [https://ftp.acc.umu.se/mirror/CRAN/ R] (you can choose another mirror here if you wish) and install it on your computer. Make sure you did it before installing RStudio. <br />
<br />
2. Download [https://www.rstudio.com/products/rstudio/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. <br />
<br />
It is possible avoid installing anything on your PC, using online version of [https://rstudio.cloud/ RStudio]. <br />
<br />
'''How to use RStudio?''' <br />
<br />
Read the instruction [http://math-info.hse.ru/f/2018-19/pep/rstudio-instruction-en.pdf here]. <br />
<br />
For successful submission of assignments you should be able to create and save R code files (.R). However, it would be helpful for your own research projects to learn how to create RMarkdown files (.Rmd). <br />
<br />
==Materials==<br />
{| class="wikitable"<br />
! Date<br />
! Topic of the lecture<br />
! Seminar<br />
! Optional<br />
<br />
|-<br />
| 12.01<br />
| Something about data: population vs sample, descriptive statistics<br />
| [http://math-info.hse.ru/f/2018-19/ling-data/seminar1.pdf problems1] [http://rpubs.com/AllaT/ldat-rbasics r-basics]<br />
| RMarkdown: official [https://rmarkdown.rstudio.com/ page], [https://www.rstudio.com/wp-content/uploads/2015/02/rmarkdown-cheatsheet.pdf cheatsheet]<br />
<br />
|-<br />
| 19.01<br />
| Population and samples. Working with data in R<br />
| [http://math-info.hse.ru/f/2018-19/ling-data/seminar2.pdf problems2] [http://rpubs.com/AllaT/ldat-samples samples] [http://math-info.hse.ru/f/2018-19/ling-data/artists-sizes.txt artisits]<br />
[http://rpubs.com/AllaT/ldat-rvectors r-vectors] [http://rpubs.com/AllaT/ldat-dataframes r-dataframes] [http://math-info.hse.ru/f/2018-19/ling-data/Chi.kuk.2007.csv Chi.kuk] <br />
<br />
<br />
| [more] on graphs<br />
<br />
|-<br />
| 26.01<br />
| Statistical hypotheses testing<br />
| [https://raw.githubusercontent.com/LingData2019/LingData/master/seminars/26-01/poetry_last_in_lines.csv poetry]<br />
<br />
| <br />
<br />
|}<br />
==R seminars in pdf==<br />
<br />
12 January: [http://math-info.hse.ru/f/2018-19/ling-data/Rbasics_TEO-pdf.pdf r-basics], 19 January: [http://math-info.hse.ru/f/2018-19/ling-data/r-more-vectors-pdf.pdf r-vectors], [http://math-info.hse.ru/f/2018-19/ling-data/r-dataframes-pdf.pdf r-dataframes], [http://math-info.hse.ru/f/2018-19/ling-data/r-samples-pdf.pdf r-samples] <br />
<br />
==R seminars in .R and .Rmd==<br />
<br />
12 January: [https://raw.githubusercontent.com/LingData2019/LingData/master/seminars/12-01/r-basics.R r-basics.R], [https://raw.githubusercontent.com/LingData2019/LingData/master/seminars/12-01/Rbasics-TEO.Rmd r-basics.Rmd], 19 January: [https://raw.githubusercontent.com/LingData2019/LingData/master/seminars/19-01/teo/r-more-vectors.R r-vectors.R], <br />
[https://raw.githubusercontent.com/LingData2019/LingData/master/seminars/19-01/teo/r-more-vectors.Rmd r-vectors.Rmd] <br />
[https://raw.githubusercontent.com/LingData2019/LingData/master/seminars/19-01/teo/r-dataframes.R r-dataframes.R], [https://raw.githubusercontent.com/LingData2019/LingData/master/seminars/19-01/teo/r-dataframes.Rmd r-dataframes.Rmd], <br />
[https://raw.githubusercontent.com/LingData2019/LingData/master/seminars/19-01/teo/r-samples.Rmd r-samples.Rmd] <br />
<br />
==Homeworks==<br />
* [http://math-info.hse.ru/f/2018-19/ling-data/LingData-HW1.pdf Homework 1] (deadline: 27 January, 23:59) <br />
<br />
* [http://math-info.hse.ru/f/2018-19/ling-data/LingData-HW2.pdf Homework 2] (deadline: 03 February, 23:59)</div>Alena Manuzina