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://rpubs.com/ilyaschurov/rdataframes2020theo lab02]
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|-
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| Feb 1
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| Estimating of population mean. Central Limit Theorem
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|
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|-
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| Feb 8
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| One sample t-test. Working with dataframes. Selection by condition.
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| [https://www.r-bloggers.com/select-operations-on-r-data-frames/ selection by condition], [http://www.instantr.com/2012/12/29/performing-a-one-sample-t-test-in-r/ one sample t-test]
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|-
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| Feb 15
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| Two sample t-test. Usage of <code>t.test</code> to perform two-sample t.test.
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| [https://rpubs.com/ilyaschurov/ttest2-2020 notebook]
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|-
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| Feb 22
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| ANOVA. Confidence intervals. tidyverse library.
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| [https://rpubs.com/ilyaschurov/ling-2020-02-22-confint-tidyverse notebook]
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|-
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| Feb 29
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| Chi-squared test.
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| [https://raw.githubusercontent.com/LingData2019/LingData2020/master/seminars/2020-02-22/Lab6-chisq-Fischer-effectsize.Rmd Rmd], [https://github.com/LingData2019/LingData2020/blob/master/seminars/2020-02-22/Lab6-chisq-Fischer-effectsize.pdf pdf]
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|-
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| March 7
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| Correlations. Scatter plots.
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| [https://rpubs.com/ilyaschurov/ling-2020-03-07-corr notebook]
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|-
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| April 8
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| Bivariate regression.
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| [https://youtu.be/F-yQMC0lGYw video]
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|-
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| April 15
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| Multiple regression and causal questions.
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| [https://youtu.be/hFLDl7rGbmk video], [http://rpubs.com/AllaT/lingdat-multreg notebook]
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|-
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| April 22
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| More on linear regressions. Significance of coefficient. Dummy variables.
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| [https://youtu.be/9tQ3oOL1umU video]
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|-
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| April 29
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| Logistic regression
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| [https://www.youtube.com/watch?v=RCZLL69H6PY video]
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|-
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| May 6
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| Random effects. Mixed effects models
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| [https://youtu.be/a4hC-WCuo_I video]
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|-
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| May 13
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| Principal components anaylysis
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| [https://youtu.be/cY0FPL5bDE4 video]
 
|}
 
|}
  
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| Feb. 24, 23:59:59
 
| Feb. 24, 23:59:59
 
| [https://www.dropbox.com/request/TTMCHN0AOZ1MONaPjuav here]
 
| [https://www.dropbox.com/request/TTMCHN0AOZ1MONaPjuav here]
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|-
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| HW3
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| [https://github.com/LingData2019/LingData2020/blob/master/hw/LingData-HW3-theo.Rmd Rmd], [https://github.com/LingData2019/LingData2020/blob/master/hw/hw-pdf/LingData-HW3-theo.pdf pdf]
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| April 16, 23:59:59
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| [https://www.dropbox.com/request/woSpo5Qmmk6f64OAajeB here]
 
|}
 
|}
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== Final projects ==
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* [https://github.com/LingData2019/LingData2020/blob/master/projects-theor.pdf Final projects description]
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* Submit research proposal (pre-registration) [https://www.dropbox.com/request/XmjgFjFog3MYW7GnVWxj here].
  
 
== Software ==
 
== Software ==
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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).
 
For successful submission of assignments you should be able to create and save R code files (.R) and RMarkdown files (.Rmd).
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 +
== References ==
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* Gries, Stefan (2013). Statistics for Linguistics with R : A Practical Introduction (Vol. 2nd revised edition). Berlin: De Gruyter Mouton. [http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=604318 HSE library link]
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* Levshina, Natalia (2015). How to Do Linguistics with R : Data Exploration and Statistical Analysis. Amsterdam: John Benjamins Publishing Company. [http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=1093048 HSE library link]
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* Baayen, Harald (2008). Analyzing Linguistic Data: A practical introduction to statistics. Cambridge UP. [https://msu.edu/course/lin/875/BaayenCUPstats.pdf pdf]

Версия 15:03, 20 мая 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 lab02
Feb 1 Estimating of population mean. Central Limit Theorem
Feb 8 One sample t-test. Working with dataframes. Selection by condition. selection by condition, one sample t-test
Feb 15 Two sample t-test. Usage of t.test to perform two-sample t.test. notebook
Feb 22 ANOVA. Confidence intervals. tidyverse library. notebook
Feb 29 Chi-squared test. Rmd, pdf
March 7 Correlations. Scatter plots. notebook
April 8 Bivariate regression. video
April 15 Multiple regression and causal questions. video, notebook
April 22 More on linear regressions. Significance of coefficient. Dummy variables. video
April 29 Logistic regression video
May 6 Random effects. Mixed effects models video
May 13 Principal components anaylysis video

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
HW3 Rmd, pdf April 16, 23:59:59 here

Final projects

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).

References

  • Gries, Stefan (2013). Statistics for Linguistics with R : A Practical Introduction (Vol. 2nd revised edition). Berlin: De Gruyter Mouton. HSE library link
  • Levshina, Natalia (2015). How to Do Linguistics with R : Data Exploration and Statistical Analysis. Amsterdam: John Benjamins Publishing Company. HSE library link
  • Baayen, Harald (2008). Analyzing Linguistic Data: A practical introduction to statistics. Cambridge UP. pdf