PY0794: Lecture 11 - Worksheet

Introduction.

This is a worksheet for use with Lecture 11.

You have a video of me narrating these slides. Note that there are potentially minor discrepancies between the current set of slides and the one in the video. The slide numbers refer to the current set. I do not cover every single slide but you can code along!

If you answer correctly the colour of the box will change! (Don't worry about bonus questions, they are very much just that: a bonus!)

Slides

Look at the pretty, pretty. (Slide 5)

True or False.

The lines represent LOESS fits.

TRUEFALSE

Try it yourself (Slide 14).

Use the same code from the previous slides.

The data are available via mlmRev::data(ScotsSec). Think about which variables mirror the one from the example.

Pick any 3 schools.

Rcmdr (Slide 26)

Bonus

Try and install 'Rcmdr'. if you feel this is a risk then don't do it

If you run into issues check these notes

Going further.

There is no exercise associated with this session but I urge you to explore the other fabulous things which R can do.

• Have a look at resources made by Alex and Sarah.
• Have a look at the resources listed at the end.

PS.:

• Do you want to have the equations for your (multilevel) model, then check this package
• fancy Bayesian models? see the brmspackage

Session Info.

Thanks to Lisa DeBruine for the webexercises package. Please see general disclaimer.

sessionInfo()

## R version 4.4.2 (2024-10-31)
## Platform: aarch64-apple-darwin20
## Running under: macOS Sequoia 15.3.1
## 
## Matrix products: default
## BLAS:   /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/lib/libRblas.0.dylib 
## LAPACK: /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/lib/libRlapack.dylib;  LAPACK version 3.12.0
## 
## locale:
## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
## 
## time zone: Europe/London
## tzcode source: internal
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
## [1] webexercises_1.1.0
## 
## loaded via a namespace (and not attached):
##  [1] digest_0.6.37     R6_2.5.1          fastmap_1.2.0     xfun_0.49        
##  [5] cachem_1.1.0      knitr_1.49        htmltools_0.5.8.1 rmarkdown_2.28   
##  [9] lifecycle_1.0.4   cli_3.6.3         sass_0.4.9        jquerylib_0.1.4  
## [13] compiler_4.4.2    rstudioapi_0.17.1 tools_4.4.2       evaluate_1.0.1   
## [17] bslib_0.8.0       yaml_2.3.10       jsonlite_1.8.9    rlang_1.1.5

The end...