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  • Handouts and video links

  • This document describes how you can install R and R-studio in your system. It includes instructions for PC and Mac

  • Installing R and RStudio into your system.pdf

  • Steps in loading data and R scripts.pdf

  • The video link below describes how you can create n SPSS-like output using R and R-studio. It requires that you load two packages into R: markdown and knitr

    http://screencast-o-matic.com/watch/c2ntFDnDbv

  • ANOVA

  • anova CRF33.sav

    This file is an example from Kirk, R. (3rd Ed). Experimental Design: Procedures for the behavioral sciences. NY: Brooks Cole

  • R_anova.R

  • Meta analysis

  • R_EffectSizeCalculator.pdf

    Package developed by graduate student Ms. Priyalatha Govindasamy, M.A. (now, Dr. Priyalatha Govindasamy, Lecturer at the Sultan Idris Education University in Malaysia) The package estimates effect sizes for correlations, proportions and difference scores. It complements the effect size estimators that you can find in packages such as metafor

  • Effectsizecalculator_0.1.tar.gz

  • Using R-Commander

  • Installing R and R-Commander

    As a program evaluator, I am very aware of the fact that we need to use statistical software. I am also very aware of the fact that we like to use point-and-click software to conduct our statistical analysis, and that R can be initimidating with its command-based interface. And yet, it is the best software for statistical analysis

    With those ideas in mind, I conducted a workshop at AEA (Mineappolis, 2019), where I shared how you can use R-Commander, a point-and-click interface, to conduct the more common statistical analysis we use in Program Evaluation. 

    Please note that the file included here is only for the installation of R and R-commander. If you are interested in the full deck, examples and videos, please contact me

    This work was conducted with Dr. Priyalatha Govindasamy (Department of Psychology and Counseling, Sultan Idris Education University).

     

  • Files

  • Some data files that we use as examples

    Regression and Multiple Regression

  • assumptions_PowerPoint.pdf

  • Album Sales 1.dat

  • Album Sales 2.dat

  • R multiple regression.Rmd

  • R_multiple_regression.pdf

  • album 2.sav

  • Regression_SPSS output.pdf

  • supervisor.sav

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This portfolio last updated: 01-Aug-2023 9:57 AM