bruceR-package | R Documentation |
BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.
Package homepage: https://psychbruce.github.io/bruceR/
Install the latest development version
from GitHub:
devtools::install_github("psychbruce/bruceR")
Report bugs at GitHub Issues.
Loading bruceR
by library(bruceR)
will also load these R packages for you:
[Data]:
dplyr
: Data manipulation and processing.
tidyr
: Data cleaning and reshaping.
stringr
: Toolbox for string operation (with regular expressions).
forcats
: Toolbox for factor manipulation (for categorical variables).
data.table
: Advanced data.frame
with higher efficiency.
[Stat]:
emmeans
: Estimates of marginal means and multiple contrasts.
effectsize
: Estimates of effect sizes and standardized parameters.
performance
: Estimates of regression models performance.
lmerTest
: Tests of linear mixed effects models (LMM, also known as HLM and multilevel models).
[Plot]:
ggplot2
: Data visualization.
ggtext
: Markdown/HTML rich text format for ggplot2
(geoms and themes).
cowplot
: Advanced toolbox for ggplot2
(arrange multiple plots and add labels).
see
: Advanced toolbox for ggplot2
(geoms, scales, themes, and color palettes).
bruceR
set.wd
(alias: set_wd
)
import
,
export
cc
pkg_depend
,
pkg_install_suggested
formatF
,
formatN
print_table
Print
,
Glue
,
Run
%^%
%notin%
%allin%
,
%anyin%
,
%nonein%
,
%partin%
add
,
added
.sum
,
.mean
SUM
,
MEAN
,
STD
,
MODE
,
COUNT
,
CONSEC
RECODE
,
RESCALE
LOOKUP
Alpha
EFA
/ PCA
CFA
Describe
Freq
Corr
cor_diff
TTEST
MANOVA
EMMEANS
model_summary
lavaan_summary
GLM_summary
HLM_summary
HLM_ICC_rWG
regress
PROCESS
med_summary
grand_mean_center
group_mean_center
ccf_plot
granger_test
granger_causality
theme_bruce
show_colors
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