Prevents enkät för organisatorisk och social arbetsmiljö

16.1 Lista på programvaror

Code

library(grateful)
library(formattable)

pkgs <- cite_packages(cite.tidyverse = TRUE, 
                      output = "table",
                      bib.file = "grateful-refs.bib",
                      include.RStudio = TRUE,
                      out.dir = getwd())
formattable(pkgs, 
            table.attr = 'class=\"table table-striped\" style="font-size: 15px; font-family: Lato; width: 80%"')

Package	Version	Citation
base	4.2.3	R Core Team (2023)
car	3.1.2	Fox and Weisberg (2019)
catR	3.17	Magis and Raîche (2012); Magis and Barrada (2017)
cowplot	1.1.1	Wilke (2020)
eRm	1.0.2	Mair and Hatzinger (2007b); Mair and Hatzinger (2007a); Hatzinger and Rusch (2009); Rusch, Maier, and Hatzinger (2013); Koller, Maier, and Hatzinger (2015); Debelak and Koller (2019); Mair, Hatzinger, and Maier (2021)
foreign	0.8.84	R Core Team (2022)
formattable	0.2.1	Ren and Russell (2021)
ggdist	3.3.0	Kay (2023)
ggpp	0.5.4	Aphalo (2023)
ggrepel	0.9.3	Slowikowski (2023)
ggridges	0.5.4	Wilke (2022)
glue	1.6.2	Hester and Bryan (2022)
hexbin	1.28.3	Carr et al. (2023)
janitor	2.2.0	Firke (2023)
kableExtra	1.3.4	Zhu (2021)
knitr	1.42	Xie (2014); Xie (2015); Xie (2023)
lavaan	0.6.15	Rosseel (2012)
lavaanPlot	0.6.2	Lishinski (2021)
matrixStats	0.63.0	Bengtsson (2022)
metR	0.14.0	Campitelli (2021)
mirt	1.40	Chalmers (2012)
patchwork	1.1.2	Pedersen (2022)
psych	2.3.6	William Revelle (2023)
psychotree	0.16.0	Trepte and Verbeet (2010); Strobl, Wickelmaier, and Zeileis (2011); Strobl, Kopf, and Zeileis (2015); Komboz, Zeileis, and Strobl (2018); Wickelmaier and Zeileis (2018)
reshape	0.8.9	Wickham (2007)
RISEkbmRasch	0.1.20.1	Johansson (2023)
rmarkdown	2.22	Xie, Allaire, and Grolemund (2018); Xie, Dervieux, and Riederer (2020); Allaire et al. (2023)
scales	1.2.1	Wickham and Seidel (2022)
showtext	0.9.6	Qiu and See file AUTHORS for details. (2023)
skimr	2.1.5	Waring et al. (2022)
tidyverse	2.0.0	Wickham et al. (2019)

16.2 Referenser

Allaire, JJ, Yihui Xie, Christophe Dervieux, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, et al. 2023. rmarkdown: Dynamic Documents for r. https://github.com/rstudio/rmarkdown.

Aphalo, Pedro J. 2023. ggpp: Grammar Extensions to “ggplot2”. https://CRAN.R-project.org/package=ggpp.

Bengtsson, Henrik. 2022. matrixStats: Functions That Apply to Rows and Columns of Matrices (and to Vectors). https://CRAN.R-project.org/package=matrixStats.

Campitelli, Elio. 2021. metR: Tools for Easier Analysis of Meteorological Fields. https://doi.org/10.5281/zenodo.2593516.

Carr, Dan, ported by Nicholas Lewin-Koh, Martin Maechler, and contains copies of lattice functions written by Deepayan Sarkar. 2023. hexbin: Hexagonal Binning Routines. https://CRAN.R-project.org/package=hexbin.

Chalmers, R. Philip. 2012. “mirt: A Multidimensional Item Response Theory Package for the R Environment.” Journal of Statistical Software 48 (6): 1–29. https://doi.org/10.18637/jss.v048.i06.

Debelak, Rudolf, and Ingrid Koller. 2019. “Testing the Local Independence Assumption of the Rasch Model With Q3-Based Nonparametric Model Tests.” Applied Psychological Measurement. https://doi.org/10.1177/0146621619835501.

Firke, Sam. 2023. janitor: Simple Tools for Examining and Cleaning Dirty Data. https://CRAN.R-project.org/package=janitor.

Fox, John, and Sanford Weisberg. 2019. An R Companion to Applied Regression. Third. Thousand Oaks CA: Sage. https://socialsciences.mcmaster.ca/jfox/Books/Companion/.

Hatzinger, Reinhold, and Thomas Rusch. 2009. “IRT models with relaxed assumptions in eRm: A manual-like instruction.” Psychology Science Quarterly 51.

Hester, Jim, and Jennifer Bryan. 2022. glue: Interpreted String Literals. https://CRAN.R-project.org/package=glue.

Johansson, Magnus. 2023. RISEkbmRasch: Psychometric Analysis in r with Rasch Measurement Theory. https://github.com/pgmj/RISEkbmRasch.

Kay, Matthew. 2023. ggdist: Visualizations of Distributions and Uncertainty. https://doi.org/10.5281/zenodo.3879620.

Koller, Ingrid, Marco Johannes Maier, and Reinhold Hatzinger. 2015. “An Empirical Power Analysis of Quasi-Exact Tests for the Rasch Model: Measurement Invariance in Small Samples.” Methodology 11. https://doi.org/10.1027/1614-2241/a000090.

Komboz, Basil, Achim Zeileis, and Carolin Strobl. 2018. “Tree-Based Global Model Tests for Polytomous Rasch Models.” Educational and Psychological Measurement 78 (1): 128–66. https://doi.org/10.1177/0013164416664394.

Lishinski, Alex. 2021. lavaanPlot: Path Diagrams for “Lavaan” Models via “DiagrammeR”. https://CRAN.R-project.org/package=lavaanPlot.

Magis, David, and Juan Ramon Barrada. 2017. “Computerized Adaptive Testing with R: Recent Updates of the Package catR.” Journal of Statistical Software, Code Snippets 76 (1): 1–19. https://doi.org/10.18637/jss.v076.c01.

Magis, David, and Gilles Raîche. 2012. “Random Generation of Response Patterns Under Computerized Adaptive Testing with the R Package catR.” Journal of Statistical Software 48 (8): 1–31. https://doi.org/10.18637/jss.v048.i08.

Mair, Patrick, and Reinhold Hatzinger. 2007a. “CML based estimation of extended Rasch models with the eRm package in R.” Psychology Science 49.

———. 2007b. “Extended Rasch modeling: The eRm package for the application of IRT models in R.” Journal of Statistical Software 20. https://www.jstatsoft.org/v20/i09.

Mair, Patrick, Reinhold Hatzinger, and Marco Johannes Maier. 2021. eRm: Extended Rasch Modeling. https://cran.r-project.org/package=eRm.

Pedersen, Thomas Lin. 2022. patchwork: The Composer of Plots. https://CRAN.R-project.org/package=patchwork.

Qiu, Yixuan, and authors/contributors of the included software. See file AUTHORS for details. 2023. showtext: Using Fonts More Easily in r Graphs. https://CRAN.R-project.org/package=showtext.

R Core Team. 2022. foreign: Read Data Stored by “Minitab,” “S,” “SAS,” “SPSS,” “Stata,” “Systat,” “Weka,” “dBase,” ... https://CRAN.R-project.org/package=foreign.

———. 2023. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.

Ren, Kun, and Kenton Russell. 2021. formattable: Create “Formattable” Data Structures. https://CRAN.R-project.org/package=formattable.

Rosseel, Yves. 2012. “lavaan: An R Package for Structural Equation Modeling.” Journal of Statistical Software 48 (2): 1–36. https://doi.org/10.18637/jss.v048.i02.

Rusch, Thomas, Marco Johannes Maier, and Reinhold Hatzinger. 2013. “Linear logistic models with relaxed assumptions in R.” In Algorithms from and for Nature and Life, edited by Berthold Lausen, Dirk van den Poel, and Alfred Ultsch. Studies in Classification, Data Analysis, and Knowledge Organization. New York: Springer. https://doi.org/10.1007/978-3-319-00035-0_34.

Slowikowski, Kamil. 2023. ggrepel: Automatically Position Non-Overlapping Text Labels with “ggplot2”. https://CRAN.R-project.org/package=ggrepel.

Strobl, Carolin, Julia Kopf, and Achim Zeileis. 2015. “Rasch Trees: A New Method for Detecting Differential Item Functioning in the Rasch Model.” Psychometrika 80 (2): 289–316. https://doi.org/10.1007/s11336-013-9388-3.

Strobl, Carolin, Florian Wickelmaier, and Achim Zeileis. 2011. “Accounting for Individual Differences in Bradley-Terry Models by Means of Recursive Partitioning.” Journal of Educational and Behavioral Statistics 36 (2): 135–53. https://doi.org/10.3102/1076998609359791.

Trepte, Sabine, and Markus Verbeet, eds. 2010. Allgemeinbildung in Deutschland – Erkenntnisse Aus Dem SPIEGEL Studentenpisa-Test. Wiesbaden: VS Verlag.

Waring, Elin, Michael Quinn, Amelia McNamara, Eduardo Arino de la Rubia, Hao Zhu, and Shannon Ellis. 2022. skimr: Compact and Flexible Summaries of Data. https://CRAN.R-project.org/package=skimr.

Wickelmaier, Florian, and Achim Zeileis. 2018. “Using Recursive Partitioning to Account for Parameter Heterogeneity in Multinomial Processing Tree Models.” Behavior Research Methods 50 (3): 1217–33. https://doi.org/10.3758/s13428-017-0937-z.

Wickham, Hadley. 2007. “Reshaping Data with the Reshape Package.” Journal of Statistical Software 21 (12). https://www.jstatsoft.org/v21/i12/.

Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. “Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.

Wickham, Hadley, and Dana Seidel. 2022. scales: Scale Functions for Visualization. https://CRAN.R-project.org/package=scales.

Wilke, Claus O. 2020. cowplot: Streamlined Plot Theme and Plot Annotations for “ggplot2”. https://CRAN.R-project.org/package=cowplot.

———. 2022. ggridges: Ridgeline Plots in “ggplot2”. https://CRAN.R-project.org/package=ggridges.

William Revelle. 2023. psych: Procedures for Psychological, Psychometric, and Personality Research. Evanston, Illinois: Northwestern University. https://CRAN.R-project.org/package=psych.

Xie, Yihui. 2014. “knitr: A Comprehensive Tool for Reproducible Research in R.” In Implementing Reproducible Computational Research, edited by Victoria Stodden, Friedrich Leisch, and Roger D. Peng. Chapman; Hall/CRC.

———. 2015. Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. https://yihui.org/knitr/.

———. 2023. knitr: A General-Purpose Package for Dynamic Report Generation in r. https://yihui.org/knitr/.

Xie, Yihui, J. J. Allaire, and Garrett Grolemund. 2018. R Markdown: The Definitive Guide. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown.

Xie, Yihui, Christophe Dervieux, and Emily Riederer. 2020. R Markdown Cookbook. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown-cookbook.

Zhu, Hao. 2021. kableExtra: Construct Complex Table with “kable” and Pipe Syntax. https://CRAN.R-project.org/package=kableExtra.