Package: webr 0.1.6

webr: Data and Functions for Web-Based Analysis

Several analysis-related functions for the book entitled "Web-based Analysis without R in Your Computer"(written in Korean, ISBN 978-89-5566-185-9) by Keon-Woong Moon. The main function plot.htest() shows the distribution of statistic for the object of class 'htest'.

Authors:Keon-Woong Moon [aut, cre], Tommaso Martino [ctb]

webr_0.1.6.tar.gz
webr_0.1.6.zip(r-4.5)webr_0.1.6.zip(r-4.4)webr_0.1.6.zip(r-4.3)
webr_0.1.6.tgz(r-4.4-any)webr_0.1.6.tgz(r-4.3-any)
webr_0.1.6.tar.gz(r-4.5-noble)webr_0.1.6.tar.gz(r-4.4-noble)
webr_0.1.6.tgz(r-4.4-emscripten)webr_0.1.6.tgz(r-4.3-emscripten)
webr.pdf |webr.html✨
webr/json (API)
NEWS

# Install 'webr' in R:

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

Bug tracker:https://github.com/cardiomoon/webr/issues

On CRAN:

17 exports 31 stars 2.50 score 167 dependencies 137 scripts 1.0k downloads

Last updated 4 years agofrom:6e411bdc67. Checks:OK: 1 NOTE: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 15 2024
R-4.5-win	NOTE	Sep 15 2024
R-4.5-linux	NOTE	Sep 15 2024
R-4.4-win	NOTE	Sep 15 2024
R-4.4-mac	NOTE	Sep 15 2024
R-4.3-win	NOTE	Sep 15 2024
R-4.3-mac	NOTE	Sep 15 2024

Exports:BiVar ContinuousVar cox.stuart.test freqSummary freqTable gg_color_hue GroupVar langchoice1 makeSubColor numSummary numSummaryTable PieDonut replaceWithLabels runs.test transparent x2summary x2Table

Dependencies:abind anytime askpass backports base64enc BH bit bit64 boot broom bslib cachem car carData cellranger cli clipr colorspace commonmark corrplot cowplot cpp11 crayon crosstalk curl data.table datawizard Deriv devEMF digest doBy dplyr DT editData evaluate fansi farver fastmap flextable fontawesome fontBitstreamVera fontLiberation fontquiver forcats foreign fs gdtools generics ggforce ggplot2 ggpubr ggrepel ggsci ggsignif glue GPArotation gridExtra gtable haven highr hms htmltools htmlwidgets httpuv insight isoband janitor jquerylib jsonlite knitr labeling later lattice lazyeval lifecycle lme4 lmtest lubridate magrittr MASS Matrix MatrixModels memoise mgcv microbenchmark mime miniUI minqa mnormt modelr moonBook munsell nlme nloptr nnet nortest numDeriv officer openssl openxlsx pbkrtest pillar pkgconfig polyclip polynom prettyunits progress promises psych purrr quantreg R.methodsS3 R.oo R.utils R6 ragg rappdirs RColorBrewer Rcpp RcppEigen readr readxl rematch rio rlang rmarkdown rrtable rstatix rstudioapi rvg sass scales shiny shinyWidgets sjlabelled sjmisc snakecase sourcetools SparseM stringi stringr survival sys systemfonts textshaping tibble tidyr tidyselect timechange tinytex tweenr tzdb utf8 uuid vcd vctrs viridisLite vroom withr writexl xfun xml2 xtable yaml zip zoo ztable

Functions for descriptive statistics

Keon-Woong Moon

Rendered fromdescStatictics.Rmdusingknitr::rmarkdownon Sep 15 2024.

Last update: 2020-01-25
Started: 2018-07-01

Plot for distribution of common statistics and p-value

Keon-Woong Moon

Rendered fromplot-htest.Rmdusingknitr::rmarkdownon Sep 15 2024.

Last update: 2018-03-06
Started: 2017-11-11

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Extract bivariate variables	BiVar
Extract continuous variables	ContinuousVar
Cox-Stuart test for trend analysis The Cox-Stuart test is defined as a little powerful test (power equal to 0.78), but very robust for the trend analysis. It is therefore applicable to a wide variety of situations, to get an idea of the evolution of values obtained. The proposed method is based on the binomial distribution. This function was written by Tommaso Martino<[email protected]> (See 'References')	cox.stuart.test
Extract labels	extractLabels
Make table summarizing frequency	freqSummary
Make flextable summarizing frequency	freqTable
Make default palette	gg_color_hue
Extract categorical variables	GroupVar
Select word	langchoice1
Make subtitle	makeSub
Make subcolors with main colors	makeSubColor
My chisquare test	mychisq.test
Numerical Summary	numSummary numSummary1 numSummary2
Make a table showing numerical summary	numSummaryTable
Draw a PieDonut plot	PieDonut
Plotting distribution of statistic for object "htest"	plot.htest
Renew dictionary Renew dictionary	renew_dic
replace vector with labels	replaceWithLabels
Runs test for randomness	runs.test
Make transparent theme	transparent
Extract x2 statistical result	x2result
Summarize chisquare result	x2summary
Make a chisquare result table	x2Table