Package: R4VN 1.6

Thai Thanh Truc

R4VN: Health Data Analysis and Publication-Ready Reporting

Provides short and consistent commands for data management, descriptive and inferential statistics, epidemiological analyses, regression models, survival and longitudinal analyses, diagnostic accuracy, scale assessment, meta-analysis, machine learning, study design, publication-ready tables, graphics, and reporting. Commands accept an explicit data frame or an active data frame selected with usedf().

Authors:Thai Thanh Truc [aut, cre]

R4VN_1.6.tar.gz
R4VN_1.6.zip(r-4.7-any)R4VN_1.6.zip(r-4.6-any)
R4VN_1.6.tar.gz(r-4.7-any)R4VN_1.6.tar.gz(r-4.6-any)
R4VN_1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
R4VN/json (API)

# Install 'R4VN' in R:

install.packages('R4VN', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

dengue_its_control - Example controlled interrupted time-series data
dengue_ts - Example monthly dengue time series
tabforest_demo - Demonstration data for tabforest

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 104 exports 10 dependencies

Last updated from:f19be3fb55. Checks:6 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	356
source / vignettes	OK	478
linux-release	OK	394
windows-devel	OK	333
windows-release	OK	369
wasm-release	OK	176

Exports:aiask aisetup anova anovai appenddata at bitest bitesti cc cci ci cii corr cox cs csi describe design dict distdata distlearn dropvar egenvar epi epii epitool esize esizei friedman gbar gbox gdensity genvar gforest ghist gline gpie groc gscatter gsurv ir iri keepvar kwallis labvar lincom logistic lrtest margins marginsplot mcc mcci mergedata nlregress normtest nptrend opendata ordervar poisson predict prop propi prtest prtesti qregress r4fun ranksum regress renvar replacevar savedata sdtest sdtesti shapevar signrank sum1 surv_tables survexport surveyset swilk tab tab1 tabdiag tabdiagi tabexport tabforest tabi tablearn tablong tabmachine tabmeta tabmulti tabscale tabscore tabsurv tabsurvey tabts ttest ttesti usedf varform vars ztest ztesti

Dependencies:DBI lattice Matrix minqa mitools numDeriv Rcpp RcppArmadillo survey survival

Help page	Topics
Ask an AI service to interpret summarized statistical results	aiask
Configure AI services for R4VN	aisetup
One-way ANOVA with Bartlett Test	anova anovai anova_r4vn
Append data frames by observations	appenddata
Convert a tabmachine result to a data frame	as.data.frame.r4vn_machine
Convert an R4VN meta-analysis to a data frame	as.data.frame.r4vn_meta
Specify predictor values for margins	at
Confidence Intervals from Summaries or Variables	ci cii ci_r4vn
Correlation matrix	corr
Direct Cox Proportional Hazards Model	cox
Example controlled interrupted time-series data	dengue_its_control
Example monthly dengue time series	dengue_ts
Describe variables in the active data	describe
R4VN Study Design Studio	design
Create an HTML data dictionary	dict
Explore a probability distribution and calculate probabilities	distdata
R4VN Distribution Learning Studio	distlearn
Drop variables and/or observations	dropvar
Extended variable generation	egenvar
Epidemiological 2 by 2 Analysis	cc cci cs csi epi epii
R4VN EpiTool Studio	epitool
Standardized Mean Differences	esize esizei
Friedman Test for Repeated or Matched Measurements	friedman
Bar chart	gbar
Box plot	gbox
Density plot	gdensity
Generate one or more variables	genvar
Forest plot	gforest
Histogram	ghist
Line chart	gline
Pie or donut chart	gpie
ROC curve	groc
Scatter plot	gscatter
Survival and Cumulative Incidence Curves	gsurv
Incidence-rate Comparison	ir iri
Keep variables and/or observations	keepvar
Kruskal-Wallis Test	kwallis
Label and recode existing variables	labvar
Linear combinations of fitted-model coefficients	lincom
Binary logistic regression	logistic
Likelihood-ratio test for nested regression models	lrtest
Predictive margins after an R4VN model	margins
Plot predictive margins	marginsplot
Matched Case-control Analysis	mcc mcci
Merge data frames by key variables	mergedata
Flexible nonlinear-shape regression	nlregress
Normality tests for one or more variables	normtest
Nonparametric trend across ordered groups	nptrend
Open data from files, research platforms, online forms, and databases	opendata
Reorder variables	ordervar
Plot an R4VN diagnostic analysis	plot.r4vn_diag
Plot an R4VN probability-distribution result	plot.r4vn_distdata
Plot an R4VN graph result	plot.r4vn_graph plot.r4vn_graph_set
Plot a tabmachine result	plot.r4vn_machine
Plot an R4VN meta-analysis	plot.r4vn_meta
Plot an R4VN regression forest object	plot.r4vn_tabforest
Plot an R4VN Longitudinal Analysis	plot.r4vn_tablong
Plot diagnostics from a scale analysis	plot.r4vn_tabscale
Plot an R4VN scorecard	plot.r4vn_tabscore
Plot an R4VN tabts result	plot.r4vn_tabts
Poisson regression or Poisson family	poisson
Prediction and postestimation diagnostics	predict
Predict from a tabmachine model	predict.r4vn_machine
Predict scores and risk from an R4VN scorecard	predict.r4vn_tabscore
Print an R4VN graph result	print.r4vn_graph
Return an R4VN graph collection silently	print.r4vn_graph_set
Print a tabmachine result	print.r4vn_machine
Print or reopen an R4VN meta-analysis	print.r4vn_meta
Print a quick R4VN console summary	print.r4vn_quick
Print an R4VN statistical result	print.r4vn_stat
Print or reopen a scale analysis	print.r4vn_tabscale
Proportions and Tests of Proportions	bitest bitesti prop propi proportion_tests prtest prtesti
Quantile regression	qregress
Launch R4VN Playground	r4fun
R4VN Example Cookbook	R4VN_examples
Wilcoxon Rank-sum Test	ranksum
Linear regression	regress
Rename variables	renvar
Replace values under one or more conditions	replacevar
Save data according to file extension	savedata
Tests of Standard Deviations and Variances	sdtest sdtesti
Reshape Data Between Wide and Long Formats	shapevar
Wilcoxon Signed-rank Test	signrank
Quick numeric descriptive statistics	sum1
Summarize an R4VN Survey Design	summary.r4vn_survey
Summarize a tabsurvey Result	summary.r4vn_tabsurvey
Extract Tables from an R4VN Survival Result	surv_tables
Export an R4VN Survival Analysis	survexport
Define a Complex Survey Design for R4VN	surveyset
Shapiro-Wilk normality test	swilk
Create Descriptive, Comparative, and Regression Tables	tab tabconti
Quick one-way frequency tables	tab1
Comprehensive Diagnostic Accuracy and ROC Analysis	tabdiag
Immediate diagnostic accuracy from a 2 x 2 table	tabdiagi
Export One or More R4VN Tables	tabexport
Flexible regression, multi-outcome, survival, and subgroup forest plots	tabforest
Demonstration data for tabforest()	tabforest_demo
Immediate Contingency Tables	tabi
Learning-curve analysis for sequential clinical or procedural performance	tablearn
Longitudinal and Repeated-Measures Analysis	tablong
Comprehensive machine-learning analysis with publication-ready reporting	tabmachine
Publication-Ready Meta-Analysis in One Command	tabmeta
Compare Multivariable Model-Building Strategies	tabmulti
Comprehensive Scale Analysis	tabscale
Build, simplify, validate and present a clinical/statistical scorecard	tabscore
Comprehensive Survival Analysis Table	tabsurv
Publication-Ready Analysis of Complex Survey Data	tabsurvey
Comprehensive time-series analysis with publication-ready output	tabts
Student and Welch t Tests	ttest ttesti
Set or inspect the active data frame	usedf
Explore transformations of continuous variables	varform
Specify Variables for R4VN Tables	vars
z Tests with Known Standard Deviations	ztest ztesti

Package: R4VN 1.6

R4VN: Health Data Analysis and Publication-Ready Reporting

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)