Items where Subject is "7.2.6 R"
- NCRM Typology (3426)
- 7. ICT and Software (273)
- 7.2 Quantitative Software (164)
- 7.2.6 R (27)
- 7.2 Quantitative Software (164)
- 7. ICT and Software (273)
Conference or Workshop Item
Skeggs, Richard (2018) Artificial data in social science. In: NCRM Research Methods Festival 2018, 3rd - 5th July 2018, University of Bath. (Submitted)
Harris, Richard (2018) Calculating a multilevel index of dissimilarity in R. In: NCRM Research Methods Festival 2018, 3rd - 5th July 2018, University of Bath.
Penn, Alexandra and Barbrook-Johnson, Peter (2018) Participatory Systems Mapping for Policy Analysis. In: NCRM Research Methods Festival 2018, 3rd - 5th July 2018, University of Bath. (Unpublished)
Janz, Nicole (2018) Research Reproducibility in Political Science. In: NCRM Research Methods Festival 2018, 3rd - 5th July 2018, University of Bath. (Unpublished)
Browne, William (2018) Using StatJR’s Statistical Analysis assistant to assist in automating statistical analysis. In: NCRM Research Methods Festival 2018, 3rd - 5th July 2018, University of Bath. (Unpublished)
Browne, William (2018) An introduction to StatJR. In: NCRM Research Methods Festival 2018, 3rd - 5th July 2018, University of Bath. (Unpublished)
Minton, Jonathan (2016) Fertility (and futures?) of 45 countries: Lexis surface data visualisation. In: NCRM Research Methods Festival 2016, 5th - 7th July 2016, University of Bath. (Unpublished)
Baguley, Thom (2011) R for psychologists. In: R: An Introduction for Social Scientists, 2011-02-18, University of Ulster.
Baguley, Thom (2011) Workbook: Introduction to R for psychologists. In: R: An Introduction for Social Scientists, 2011-02-18, University of Ulster.
Video
Katz, Gabriel (2021) Advanced Bayesian Methods: Gibbs Sampling. [Video]
Katz, Gabriel (2021) Advanced Bayesian Methods: Introduction. [Video]
Katz, Gabriel (2021) Advanced Bayesian Methods: Speeding up Bayesian computations. [Video]
Zhirnov, Andrei (2021) Computations in R. [Video]
Zhirnov, Andrei (2021) Bayesian Data Analysis: Introduction. [Video]
Väisänen, Heini (2021) Multinomial logistic regression, Part 2: Multiple multinomial regression. [Video]
Uhrmacher, Adeline (2021) Provenance for Simulation Studies. [Video]
Connelly, Roxanne (2021) Introduction to Complex Samples. [Video]
Brunton-Smith, Ian (2019) Multilevel Models: Random Intercept Models. [Video]
Burton-Smith, Ian (2019) Multilevel Models: Introducing multilevel modelling. [Video]
Brunton-Smith, Ian (2019) Multilevel Models: Random Coefficient Models. [Video]
Dataset
Brown, Anna and Štochl, Jan and Croudace, Tim and Böhnke, Jan (2011) Unidimensional IRT models for binary data. [Dataset]
Brown, Anna and Štochl, Jan and Croudace, Tim and Böhnke, Jan (2011) Unidimensional IRT models for ordinal data. [Dataset]
Brown, Anna and Böhnke, May and Croudace, Tim (2010) Introduction to item response theory (IRT). [Dataset]
Other
Brown, Anna and Štochl, Jan and Croudace, Tim and Böhnke, Jan (2011) Unidimensional IRT models for binary data. NCRM.
Brown, Anna and Štochl, Jan and Croudace, Tim and Böhnke, Jan (2011) Unidimensional IRT models for ordinal data. NCRM.
Brown, Anna and Böhnke, Jan and Croudace, Tim (2010) Further work with DIF, using statistical software R. NCRM.
Brown, Anna and Böhnke, Jan and Croudace, Tim (2010) The Rasch model for binary and polytomous data. NCRM.