Package: radiant.basics 1.6.6

Vincent Nijs

radiant.basics: Basics Menu for Radiant: Business Analytics using R and Shiny

The Radiant Basics menu includes interfaces for probability calculation, central limit theorem simulation, comparing means and proportions, goodness-of-fit testing, cross-tabs, and correlation. The application extends the functionality in 'radiant.data'.

Authors:Vincent Nijs [aut, cre]

radiant.basics_1.6.6.tar.gz
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radiant.basics.pdf |radiant.basics.html
radiant.basics/json (API)
NEWS

# Install 'radiant.basics' in R:
install.packages('radiant.basics', repos = c('https://radiant-rstats.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/radiant-rstats/radiant.basics/issues

Datasets:

On CRAN:

22 exports 8 stars 2.24 score 131 dependencies 3 dependents 1 mentions 78 scripts 1.4k downloads

Last updated 4 months agofrom:aa8ac2453a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-winOKSep 12 2024
R-4.5-linuxOKSep 12 2024
R-4.4-winOKSep 12 2024
R-4.4-macOKSep 12 2024
R-4.3-winOKSep 12 2024
R-4.3-macOKSep 12 2024

Exports:cltcompare_meanscompare_propscor2dfcorrelationcross_tabsgoodnessprob_binomprob_chisqprob_discprob_expoprob_fdistprob_lnormprob_normprob_poisprob_tdistprob_unifradiant.basicsradiant.basics_viewerradiant.basics_windowsingle_meansingle_prop

Dependencies:abindadmiscarrowaskpassassertthatbackportsbase64encbitbit64bootbroombslibcachemcarcarDatacellrangerclicliprcolorspacecommonmarkcowplotcpp11crayoncrosstalkcurldata.tableDerivdigestdoBydplyrDTevaluatefansifarverfastmapfontawesomefsgenericsggplot2glueGPArotationgtablehighrhmshtmltoolshtmlwidgetshttpuvhttrimportisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelme4lubridatemagrittrmarkdownMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamnormtmodelrmunsellmvtnormnlmenloptrnnetnumDerivopensslpatchworkpbkrtestpillarpkgconfigplotlypngpolycorprettyunitsprogresspromisespsychpurrrquantregR6radiant.datarandomizrrappdirsRColorBrewerRcppRcppEigenreadrreadxlrematchrlangrmarkdownrstudioapisassscalesshinyshinyAceshinyFilessourcetoolsSparseMstringistringrsurvivalsystibbletidyrtidyselecttimechangetinytextzdbutf8vctrsviridisLitevroomwithrwritexlxfunxtableyaml

Readme and manuals

Help Manual

Help pageTopics
Central Limit Theorem simulationclt
Compare sample meanscompare_means
Compare sample proportions across groupscompare_props
Car brand considerationconsider
Store a correlation matrix as a (long) data.framecor2df
Calculate correlations for two or more variablescorrelation
Evaluate associations between categorical variablescross_tabs
Demand in the UKdemand_uk
Evaluate if sample data for a categorical variable is consistent with a hypothesized distributiongoodness
Newspaper readershipnewspaper
Plot method for the Central Limit Theorem simulationplot.clt
Plot method for the compare_means functionplot.compare_means
Plot method for the compare_props functionplot.compare_props
Plot method for the correlation functionplot.correlation
Plot method for the cross_tabs functionplot.cross_tabs
Plot method for the goodness functionplot.goodness
Plot method for the probability calculator (binomial)plot.prob_binom
Plot method for the probability calculator (Chi-squared distribution)plot.prob_chisq
Plot method for the probability calculator (discrete)plot.prob_disc
Plot method for the probability calculator (Exponential distribution)plot.prob_expo
Plot method for the probability calculator (F-distribution)plot.prob_fdist
Plot method for the probability calculator (log normal)plot.prob_lnorm
Plot method for the probability calculator (normal)plot.prob_norm
Plot method for the probability calculator (poisson)plot.prob_pois
Plot method for the probability calculator (t-distribution)plot.prob_tdist
Plot method for the probability calculator (uniform)plot.prob_unif
Plot method for the single_mean functionplot.single_mean
Plot method for the single_prop functionplot.single_prop
Print method for the correlation functionprint.rcorr
Probability calculator for the binomial distributionprob_binom
Probability calculator for the chi-squared distributionprob_chisq
Probability calculator for a discrete distributionprob_disc
Probability calculator for the exponential distributionprob_expo
Probability calculator for the F-distributionprob_fdist
Probability calculator for the log normal distributionprob_lnorm
Probability calculator for the normal distributionprob_norm
Probability calculator for the poisson distributionprob_pois
Probability calculator for the t-distributionprob_tdist
Probability calculator for the uniform distributionprob_unif
radiant.basicsradiant.basics
Launch radiant.basics in the Rstudio viewerradiant.basics_viewer
Launch radiant.basics in an Rstudio windowradiant.basics_window
Salaries for Professorssalary
Compare a sample mean to a population meansingle_mean
Compare a sample proportion to a population proportionsingle_prop
Summary method for the compare_means functionsummary.compare_means
Summary method for the compare_props functionsummary.compare_props
Summary method for the correlation functionsummary.correlation
Summary method for the cross_tabs functionsummary.cross_tabs
Summary method for the goodness functionsummary.goodness
Summary method for the probability calculator (binomial)summary.prob_binom
Summary method for the probability calculator (Chi-squared distribution)summary.prob_chisq
Summary method for the probability calculator (discrete)summary.prob_disc
Summary method for the probability calculator (exponential)summary.prob_expo
Summary method for the probability calculator (F-distribution)summary.prob_fdist
Summary method for the probability calculator (log normal)summary.prob_lnorm
Summary method for the probability calculator (normal)summary.prob_norm
Summary method for the probability calculator (poisson)summary.prob_pois
Summary method for the probability calculator (t-distribution)summary.prob_tdist
Summary method for the probability calculator (uniform)summary.prob_unif
Summary method for the single_mean functionsummary.single_mean
Summary method for the single_prop functionsummary.single_prop