class: center, middle, inverse, title-slide # Dissertation in Language Sciences ## Data summary, visualisation and modelling ### Stefano Coretta ### 2022/01/28 --- background-image: url(../img/data-sum-viz-model.png) background-size: contain --- # Summarise <br> <br> .pull-left[ **Measures of central tendency** * Mean = `mean()` * Median = `median()` * Mode = `table()` + pick the most common value ] -- .pull-right[ **Measures of dispersion** * Range (minimum, maximum) = `range()`, `min()`, `max()` * Standard deviation = `sd()` ] --- # Visualise .center[  ] --- # Visualise .center[  ] --- # Visualise .center[  ] --- # Visualise .center[  ] ??? https://www.cedricscherer.com/2019/05/17/the-evolution-of-a-ggplot-ep.-1/#code --- # Visualise .center[  ] --- # Visualise .center[  ] --- # Visualise <br> <br> ## Resources - [Data viz catalogue](https://datavizcatalogue.com/index.html) - [Top 50 ggplot2 visualisations](http://r-statistics.co/Top50-Ggplot2-Visualizations-MasterList-R-Code.html) - [Data Viz online class](https://datavizm20.classes.andrewheiss.com/) - [Raincloud plots](https://wellcomeopenresearch.org/articles/4-63) --- # Model .bg-washed-blue.b--dark-blue.ba.bw2.br3.shadow-5.ph4.mt5[ Most likely, you will be able to use some kind of **linear model**. * [Linear models: a cheat sheet](https://stefanocoretta.github.io/post/2021-08-21-regression-models-a-cheat-sheet/). ] -- .bg-washed-blue.b--dark-blue.ba.bw2.br3.shadow-5.ph4.mt5[ <!-- Carefully think about your data analysis (especially modelling) <u>**while**</u> thinking about the research question/hypothesis. --> Carefully think about your data analysis (especially modelling). * [Analysis plan checklist](https://uoeling.github.io/analysis-checklist/). * [How to simplify your study design](https://stefanocoretta.github.io/post/2021-12-01-how-to-simplify-your-study-design/). ] --- # <https://uoeling.github.io> .center[  ] --- # <https://uoeling.github.io> .center[  ] --- class: center middle inverse # .f1[Questions?]