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| [["introduction.html", "Chapter 1 Introduction 1.1 Thanks 1.2 List of R packages used in this book 1.3 Session info", " Chapter 1 Introduction 1.1 Thanks Various people have helped in the process of putting together these materials (either knowingly, or unknowingly). Big thanks go to: Alexandra Chouldechova Allison Horst Andrew Heiss Ben Baumer Benoit Monin Bodo Winter David Lagnado Ewart Thomas Henrik Singmann Julian Jara-Ettinger Justin Gardner Kevin Smith Lisa DeBruine Maarten Speekenbrink Matthew Kay Matthew Salganik Mika Braginsky Mike Frank Mine Çetinkaya-Rundel Nick C. Huntington-Klein Patrick Mair Paul-Christian Bürkner Peter Cushner Mohanty Richard McElreath Russ Poldrack Stephen Dewitt Solomon Kurz Tom Hardwicke Tristan Mahr Special thanks go to my teaching teams: 2022: Ari Beller Sarah Wu Chengxu Zhuang 2021: Andrew Nam Catherine Thomas Jon Walters Dan Yamins 2020: Tyler Bonnen Andrew Nam Jinxiao Zhang 2019: Andrew Lampinen Mona Rosenke Shao-Fang (Pam) Wang 1.2 List of R packages used in this book # RMarkdown library("knitr") # markdown things library("kableExtra") # for nicely formatted tables # Datasets library("gapminder") # data available from Gapminder.org library("NHANES") # data set library("titanic") # titanic dataset # Data manipulation library("arrangements") # fast generators and iterators for permutations, combinations and partitions library("magrittr") # for wrangling library("tidyverse") # everything else # Visualization library("patchwork") # making figure panels library("ggpol") # for making fancy boxplots library("ggridges") # for making joyplots library("gganimate") # for making animations library("GGally") # for pairs plot library("ggrepel") # for labels in ggplots library("corrr") # for calculating correlations between many variables library("corrplot") # for plotting correlations library("DiagrammeR") # for drawing diagrams library("ggeffects") # for visualizing effects library("bayesplot") # for visualization of Bayesian model fits # Modeling library("afex") # also for running ANOVAs library("lme4") # mixed effects models library("emmeans") # comparing estimated marginal means library("broom.mixed") # getting tidy mixed model summaries library("janitor") # cleaning variable names library("car") # for running ANOVAs library("rstanarm") # for Bayesian models library("greta") # Bayesian models library("tidybayes") # tidying up results from Bayesian models library("boot") # bootstrapping library("modelr") # cross-validation and bootstrapping library("mediation") # for mediation and moderation analysis library("multilevel") # Sobel test library("extraDistr") # additional probability distributions library("effects") # for showing effects in linear, generalized linear, and other models library("brms") # Bayesian regression library("parameters") # For extracting parameters # Misc library("tictoc") # timing things library("MASS") # various useful functions (e.g. bootstrapped confidence intervals) library("lsr") # for computing effect size measures library("extrafont") # additional fonts library("pwr") # for power calculations library("arrangements") # fast generators and iterators for permutations, combinations and partitions library("stargazer") # for regression tables library("sjPlot") # for regression tables library("xtable") # for tables 1.3 Session info ## R version 4.2.1 (2022-06-23) ## Platform: x86_64-apple-darwin17.0 (64-bit) ## Running under: macOS Big Sur ... 10.16 ## ## Matrix products: default ## BLAS: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRblas.0.dylib ## LAPACK: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRlapack.dylib ## ## locale: ## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8 ## ## attached base packages: ## [1] stats graphics grDevices utils datasets methods base ## ## loaded via a namespace (and not attached): ## [1] bookdown_0.32 digest_0.6.31 R6_2.5.1 jsonlite_1.8.4 ## [5] evaluate_0.20 cachem_1.0.6 rlang_1.0.6 cli_3.6.0 ## [9] rstudioapi_0.14 jquerylib_0.1.4 bslib_0.4.2 rmarkdown_2.20 ## [13] tools_4.2.1 xfun_0.37 yaml_2.3.7 fastmap_1.1.0 ## [17] compiler_4.2.1 htmltools_0.5.4 knitr_1.42 sass_0.4.5 "],["404.html", "Page not found", " Page not found The page you requested cannot be found (perhaps it was moved or renamed). You may want to try searching to find the page's new location, or use the table of contents to find the page you are looking for. "]] | ||
| [["index.html", "Psych 252: Statistical Methods for Behavioral and Social Sciences Preface Course description Course homepage License and citation", " Psych 252: Statistical Methods for Behavioral and Social Sciences Tobias Gerstenberg 2023-02-14 Preface This book contains the course notes for Psych 252. The book is not intended to be self-explanatory and instead should be used in combination with the course lectures posted here. If you have any questions about the notes, please feel free to contact me at: [email protected] or post an issue on the book’s github repository. Course description This course offers an introduction to advanced topics in statistics with the focus of understanding data in the behavioral and social sciences. It is a practical course in which learning statistical concepts and building models in R go hand in hand. The course is organized into three parts: In the first part, we will learn how to visualize, wrangle, and simulate data in R. In the second part, we will cover topics in frequentist statistics (such as multiple regression, logistic regression, and mixed effects models) using the general linear model as an organizing framework. We will learn how to compare models using simulation methods such as bootstrapping and cross-validation. In the third part, we will focus on Bayesian data analysis as an alternative framework for answering statistical questions. Course homepage https://psych252.github.io/ License and citation This book is licensed under the Creative Commons Zero v1.0 Universal license. If you find these materials helpful for your work, I’d appreciate you citing the book: @book{gerstenberg2022methods, title = {Statistical methods for the behavioral and social sciences}, author = {Tobias Gerstenberg}, year = {2022}, url = {https://psych252.github.io/psych252book/} } "],["404.html", "Page not found", " Page not found The page you requested cannot be found (perhaps it was moved or renamed). You may want to try searching to find the page's new location, or use the table of contents to find the page you are looking for. "]] |
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