SfL is a package created for the “Statistics for Linguistics” workshop.
It includes some handy functions and data sets, but most importantly installs all necessary packages and contains exercise files.
Check out the references for more detailed information.
How to Install
The preferred way to install this package is through devtools:
# if devtools has not been installed yet, please install it first
# install.packages("devtools")
# then, install the SfL package
devtools::install_github("dosc91/SfL")You will be asked to update dependencies during installation; usually, updates can be skipped.
References
Please cite the package as follows:
Schmitz, D., & Esser, J. (2021). SfL: Statistics for Linguistics. R package version 0.4.2. URL: https://github.com/dosc91/SfL
The following sources are made use of in the SfL package:
Baayen, R. H, & Shafaei-Bajestan, E. (2019). languageR: Analyzing Linguistic Data: A Practical Introduction to Statistics. R package version 1.5.0. https://CRAN.R-project.org/package=languageR
Barton, K. (2020). MuMIn: Multi-Model Inference. R package version 1.43.17. https://CRAN.R-project.org/package=MuMIn
Bates, D., Maechler, M., Bolker, B., & Walker, S. (2015). Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software, 67(1), 1-48. doi:10.18637/jss.v067.i01.
Coretta, S., Casillas, J. V., & Roettger, T. (2021). learnB4SS: Learning materials for the learnB4SS workshop. R package version 1.0.0. https://github.com/learnB4SS/learnB4SS
Hothorn, T., Bretz, F., & Westfall, P. (2008). Simultaneous Inference in General Parametric Models. Biometrical Journal 50(3), 346-363.
Nakagawa, S., Johnson, P.C.D., & Schielzeth, H. (2017) The coefficient of determination R? and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded. J. R. Soc. Interface 14: 20170213.
Roettger, T. B., Winter, B., Kirby, J., Grawunder, S., & Grice, M. (2014). Assessing incomplete neutralization of final devoicing in German. Journal of Phonetics, 43: 11- 25.
Schmitz, D. (2018). Tonal Alignment and Segmental Composition in German. Master’s Thesis. Universität zu Köln, Köln, Germany.
Schmitz, D., Baer-Henney, D., & Plag, I. (2021). The duration of word-final /s/ differs across morphological categories in English: evidence from pseudowords. Phonetica 78(5–6). 571–616. doi: 10.1515/phon-2021-2013.
Schmitz, D., Cicek, D., Nguyen, A. K., & Rottleb, D. (2023). Cuteness modulates size sound symbolism at its extremes. Preprint available on PsyArXiv. doi: 10.31234/osf.io/62ne9
Schmitz, D., Hae-Eun C., & Niemann, H. (2018). Vowel shortening in German as a function of syllable structure. In Proceedings 13. Phonetik und Phonologie Tagung (P&P13), 181–184. Berlin.
Schmitz, D., Schneider, V., & Esser, J. (2023). No genericity in sight: An exploration of the semantics of masculine generics in German. Glossa Psycholinguistics, 2(1). doi: 10.5070/G6011192
Wickham, H. (2016) ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York.