BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.
This package includes easy-to-use functions for:
- Basic R programming (e.g., set working directory to the path of currently opened file; import/export data from/to files in any format; print tables to Microsoft Word);
- Multivariate computation (e.g., compute scale sums/means/... with reverse scoring);
- Reliability analyses and factor analyses (PCA, EFA, CFA);
- Descriptive statistics and correlation analyses;
- t-test, multi-factor analysis of variance (ANOVA), simple-effect analysis, and post-hoc multiple comparison;
- Tidy report of statistical models (to R Console and Microsoft Word);
- Mediation and moderation analyses (PROCESS);
- Additional toolbox for statistics and graphics.
Han-Wu-Shuang (Bruce) Bao ๅ ๅฏๅด้
๐ฌ [email protected]
๐ psychbruce.github.io
- Bao, H.-W.-S. (2021). bruceR: Broadly useful convenient and efficient R functions. https://CRAN.R-project.org/package=bruceR
- Note: This is the original citation. Please refer to the information when you
library(bruceR)
for the APA-7 format of the version you installed.
- Note: This is the original citation. Please refer to the information when you
Chinese Documentation for bruceR: I. Overview
Chinese Documentation for bruceR: II. FAQ
Please always set dep=TRUE
to install ALL package dependencies for FULL features!
## Method 1: Install from CRAN
install.packages("bruceR", dep=TRUE) # dependencies=TRUE
## Method 2: Install from GitHub
install.packages("devtools")
devtools::install_github("psychbruce/bruceR", dep=TRUE, force=TRUE)
Tips:
- Good practices:
- Restart RStudio before installation.
- Update R to the latest version (v4.0+).
- Install Rtools.exe (it is not an R package) on Windows system.
- If you see "Do you want to restart R prior to install?", choose "Yes" for the first time and then choose "No".
- If you fail to install, please carefully read the warning messages and find out the R package(s) causing the failure, manually uninstall and reinstall these R package(s), and then retry the main installation.
bruceR
depends on many important R packages.
Loading bruceR
with library(bruceR)
will also load these R packages for you:
-
[Data]:
data.table
: Advanceddata.frame
with higher efficiency.dplyr
: Data manipulation and processing.tidyr
: Data cleaning and reshaping.stringr
: Toolbox for string operation (with regular expressions).ggplot2
: Data visualization.
-
[Stat]:
emmeans
: Estimates of marginal means and multiple contrasts.lmerTest
: Linear mixed effects modeling (multilevel modeling).effectsize
: Effect sizes and standardized parameters.performance
: Performance of regression models.interactions
: Interaction and simple effect analyses.
-
Basic R Programming
cc()
(suggested)set.wd()
(alias:set_wd()
) (suggested)import()
,export()
(suggested)pkg_depend()
,pkg_install_suggested()
formatF()
,formatN()
print_table()
Print()
,Glue()
,Run()
%^%
%notin%
%allin%
,%anyin%
,%nonein%
,%partin%
-
Multivariate Computation
add()
,added()
(suggested).sum()
,.mean()
(suggested)SUM()
,MEAN()
,STD()
,MODE()
,COUNT()
,CONSEC()
RECODE()
,RESCALE()
LOOKUP()
-
Reliability and Factor Analyses
Alpha()
EFA()
/PCA()
CFA()
-
Descriptive Statistics and Correlation Analyses
Describe()
Freq()
Corr()
cor_diff()
cor_multilevel()
-
T-Test, Multi-Factor ANOVA, Simple-Effect Analysis, and Post-Hoc Multiple Comparison
TTEST()
MANOVA()
EMMEANS()
-
Tidy Report of Regression Models
model_summary()
(suggested)lavaan_summary()
GLM_summary()
HLM_summary()
HLM_ICC_rWG()
regress()
-
Mediation and Moderation Analyses
PROCESS()
(suggested)med_summary()
-
Additional Toolbox for Statistics and Graphics
grand_mean_center()
group_mean_center()
ccf_plot()
granger_test()
granger_causality()
theme_bruce()
show_colors()
For some functions, the results can be saved to Microsoft Word using the file
argument.
bruceR Function | Output: R Console | Output: MS Word |
---|---|---|
print_table() |
โ | โ (basic usage) |
Describe() |
โ | โ |
Freq() |
โ | โ |
Corr() |
โ | โ (suggested) |
Alpha() |
โ | (unnecessary) |
EFA() / PCA() |
โ | โ |
CFA() |
โ | โ |
TTEST() |
โ | โ |
MANOVA() |
โ | โ |
EMMEANS() |
โ | โ |
PROCESS() |
โ | โ (partial) |
model_summary() |
โ | โ (suggested) |
med_summary() |
โ | โ |
lavaan_summary() |
โ | โ |
GLM_summary() |
โ | |
HLM_summary() |
โ | |
HLM_ICC_rWG() |
โ | (unnecessary) |
granger_test() |
โ | โ |
granger_causality() |
โ | โ |
Examples:
## Correlation analysis (and descriptive statistics)
Corr(airquality, file="cor.doc")
## Regression analysis
lm1 = lm(Temp ~ Month + Day, data=airquality)
lm2 = lm(Temp ~ Month + Day + Wind + Solar.R, data=airquality)
model_summary(list(lm1, lm2), file="reg.doc")
model_summary(list(lm1, lm2), std=TRUE, file="reg_std.doc")
library(bruceR)
## Overview
help("bruceR")
help(bruceR)
?bruceR
## See help pages of functions
## (use `?function` or `help(function)`)
?cc
?add
?.mean
?set.wd
?import
?export
?Describe
?Freq
?Corr
?Alpha
?MEAN
?RECODE
?TTEST
?MANOVA
?EMMEANS
?PROCESS
?model_summary
?lavaan_summary
?GLM_summary
?HLM_summary
...