Package: neatStats 1.13.3

neatStats: Neat and Painless Statistical Reporting

User-friendly, clear and simple statistics, primarily for publication in psychological science. The main functions are wrappers for other packages, but there are various additions as well. Every relevant step from data aggregation to reportable printed statistics is covered for basic experimental designs.

Authors:Gáspár Lukács [aut, cre], Bennett Kleinberg [ctb], Johnny van Doorn [ctb]

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neatStats.pdf |neatStats.html✨
neatStats/json (API)

# Install 'neatStats' in R:

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

Bug tracker:https://github.com/gasparl/neatstats/issues

On CRAN:

bayesfactor confidence-intervals pipeline statistical-analysis statistics

24 exports 3 stars 0.95 score 108 dependencies 477 downloads

Last updated 2 years agofrom:22171ed042. Checks:OK: 3 NOTE: 4. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Aug 28 2024
R-4.5-win	NOTE	Aug 28 2024
R-4.5-linux	NOTE	Aug 28 2024
R-4.4-win	NOTE	Aug 28 2024
R-4.4-mac	NOTE	Aug 28 2024
R-4.3-win	OK	Aug 28 2024
R-4.3-mac	OK	Aug 28 2024

Exports:aggr_neat anova_neat ci_from_p corr_neat dems_neat enum excl_neat mean_ci mon_conv mon_neat norm_tests path_neat peek_neat plot_neat props_neat rbind_loop read_dir ro roc_neat sd_ci se t_neat table_neat var_tests

Dependencies:abind arm backports BayesFactor bayestestR BH boot broom car carData cli coda colorspace contfrac corrplot cowplot cpp11 data.table datawizard Deriv deSolve digest doBy dplyr elliptic Exact ez fansi farver fBasics generics ggplot2 ggpubr ggrepel ggsci ggsignif glue gridExtra gss gtable hypergeo insight isoband labeling lattice lavaan lifecycle lme4 logspline magrittr MASS Matrix MatrixModels MBESS mgcv mi microbenchmark minqa mnormt modelr munsell mvtnorm nlme nloptr nnet numDeriv OpenMx pbapply pbivnorm pbkrtest pillar pkgconfig plyr polynom pROC purrr quadprog quantreg R6 RColorBrewer Rcpp RcppEigen RcppParallel reshape2 rlang rootSolve rpf rstatix scales sem semTools SparseM spatial stabledist StanHeaders stringi stringr survival tibble tidyr tidyselect timeDate timeSeries utf8 vctrs viridis viridisLite withr

neatStats example use: pipeline from raw data to reportable statistics

Rendered fromexample_pipeline.Rmdusingknitr::rmarkdownon Aug 28 2024.

Last update: 2022-07-02
Started: 2022-02-24

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Aggregation, descriptives	aggr_neat
Comparison of Multiple Means: ANOVA	anova_neat
CI from p value	ci_from_p
Correlation Statistics	corr_neat
Demographics	dems_neat
Enumerate	enum
Exclusion	excl_neat
Confidence Interval of Mean	mean_ci
Monitor Screen Unit Conversion	mon_conv
Monitor Object	mon_neat
Normality Tests and Plots	norm_tests
Script Path	path_neat
Cursory Summaries and Plots per Group	peek_neat
Plots of Means and of Dispersion	plot_neat
Difference of Two Proportions	props_neat
Merge by Columns in Loops	rbind_loop
Read and Merge Files from Directory	read_dir
Neat rounding	ro
Difference of Two Areas Under the Curves	roc_neat
Confidence Interval of Standard Deviation	sd_ci
Standard Error of Mean	se
Difference of Two Means and Area Under the Curve	t_neat
Table, descriptives	table_neat
Variance Equality Tests	var_tests