bruceR

BRoadly Useful Collections and Extensions of R functions

Citation

Bao, H.-W.-S. (2020). bruceR: Broadly useful collections and extensions of R functions [R package]. https://github.com/psychbruce/bruceR

User Guide

Install

#### 安装步骤 ####

## 第1步：安装基础R包（如果已经安装过，请忽略）
install.packages("devtools")
install.packages("tidyverse")
install.packages("ggstatsplot")

## 第2步：更新所有R包（为了避免第3步频繁出错）
update.packages(ask=F)

## 第3步：安装bruceR包
devtools::install_github("psychbruce/bruceR")

• Please DO NOT use install.packages("bruceR"), because this package HAS NOT BEEN put on the CRAN.
• Installation Bugs and Solutions (安装遇到问题时请阅读！)

Package dependency

We are all standing on the shoulders of giants.

bruceR depends on some important packages and also automatically installs many other useful packages for users. Many functions in bruceR are extensions of the functions in these packages.

Once you load bruceR to the global environment with library(), it will also load these packages:

• rio: Data input/output for almost all file formats within one function (import/export).
• dplyr: Data manipulation and preprocessing.
• stringr: Toolbox for dealing with strings and regular expressions.
• lubridate: Toolbox for dealing with dates and times.
• data.table: Advanced 'data.frame' with higher efficiency.
• performance: Assessment of regression models performance.
• ggplot2: Data visualization.
• cowplot: Useful add-on for ggplot2.

No need to load each one with its own call. Loading bruceR is enough.

Main functions in bruceR

• Basic use and analyses (e.g., correlation matrix with plot)
  • Print(), Describe(), Freq(), Corr(), ...
  • set.wd(), set.seeds(), dtime(), ...
  • %notin%, %partin%, ...
  • LOOKUP(), ...
• Multivariate computing (e.g., scale mean score with reverse scoring)
  • RECODE(), RESCALE()
  • COUNT(), MODE(), SUM(), MEAN(), STD(), CONSEC()
• Reliability and validity analyses (e.g., Cronbach's α, exploratory/confirmatory factor analysis)
  • Alpha()
  • EFA(), CFA()
• t-test, ANOVA, simple-effect analyses, and multiple comparisons
  • MANOVA(), EMMEANS()
• Advanced toolbox and output for general/generalized ordinary/multilevel linear models
  • grand_mean_center(), group_mean_center()
  • GLM_summary(), HLM_summary(), regress(), model_check()
  • med_mc(), simple_slope()
• Nice themes of ggplot2 ready for scientific publication
  • theme_bruce()

Learn more by running code

library(bruceR)

## Overview of Package
?bruceR

## See Help Pages of Functions
?MANOVA
?EMMEANS
?GLM_summary
?HLM_summary

## Check Update
check_update()

## Run Some Examples
example("Print")
example("Describe")
example("Freq")
example("Corr")

example("MEAN")
example("LOOKUP")

example("GLM_summary")
example("HLM_summary")
example("model_check")

Release Notes

Current version: 0.4.7

Major changes:

• 0.4.0 - 2019.12
  • Added citation information
  • General bug-fixes and improvements
• 0.3.0 - 2019.10
  • Added new functions for ANOVA, simple-effect analyses, and multiple comparisons
  • General bug-fixes and improvements
• 0.2.0 - 2019.08
  • Added help pages
  • General bug-fixes and improvements
• 0.1.0 - 2019.06
  • Initial commit

Author

Han-Wu-Shuang (Bruce) Bao - 包寒吴霜

E-mail: [email protected] or [email protected]