Package: UBStats 0.4.0

Sergio Venturini

UBStats: Basic Statistics

Basic statistical analyses. The package has been developed to be used in statistics courses at Bocconi University (Milan, Italy). Currently, the package includes some exploratory and inferential analyses usually presented in introductory statistics courses.

Authors:Raffaella Piccarreta [aut], Sergio Venturini [cre]

UBStats_0.4.0.tar.gz
UBStats_0.4.0.zip(r-4.7-any)UBStats_0.4.0.zip(r-4.6-any)UBStats_0.4.0.zip(r-4.5-any)
UBStats_0.4.0.tgz(r-4.6-any)UBStats_0.4.0.tgz(r-4.5-any)
UBStats_0.4.0.tar.gz(r-4.7-any)UBStats_0.4.0.tar.gz(r-4.6-any)
UBStats_0.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
UBStats/json (API)

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

Bug tracker:https://github.com/raffaellapiccarreta/ubstats/issues

Datasets:
  • Banner - Data Banner: Banner Click-Through Rate Experiment
  • BasketValue - Data BasketValue: Supermarket Spending and Basket Variety
  • CallCentre_KPI - Data CallCentre_KPI: Call Centre Key Performance Indicators
  • ESG_Returns - Data ESG_Returns: Simulated ESG Performance and Financial Returns
  • Grocery_NE - Data Grocery_NE: Grocery Chain Customer Survey
  • JobEngage - Data JobEngage: Employee Job Engagement Survey
  • Marketing_Mix - Data Marketing_Mix: Marketing Investments and Digital Performance
  • MktDATA - Data MktDATA:
  • MktDATA.Orig - Data: MktDATA.Orig
  • Spending - Data Spending: Household Income and Spending Patterns
  • Time_Social - Data Time_Social: Time Spent on a Social Media Platform
  • Transition - Data Transition: Employee Productivity After Software Transition

On CRAN:

Conda:

3.60 score 4 stars 5 scripts 320 downloads 16 exports 0 dependencies

Last updated from:823227ff7e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK228
source / vignettesOK216
linux-release-x86_64OK224
macos-release-arm64OK118
macos-oldrel-arm64OK188
windows-devel-x86_64OK71
windows-release-x86_64OK75
windows-oldrel-x86_64OK80
wasm-releaseOK120

Exports:CI.diffmeanCI.diffpropCI.meanCI.propdistr.plot.xdistr.plot.xydistr.summary.xdistr.table.xdistr.table.xyLM.outputsummaries.plot.xTEST.diffmeanTEST.diffpropTEST.diffvarTEST.meanTEST.prop

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Data Banner: Banner Click-Through Rate ExperimentBanner
Data BasketValue: Supermarket Spending and Basket VarietyBasketValue
Data CallCentre_KPI: Call Centre Key Performance IndicatorsCallCentre_KPI
Confidence intervals for the difference between meansCI.diffmean
Confidence intervals for the difference between proportionsCI.diffprop
Confidence intervals for the meanCI.mean
Confidence intervals for the proportionCI.prop
Analysis of a univariate distribution using plotsdistr.plot.x
Analysis of a bivariate distribution using plotsdistr.plot.xy
Summary statistics for a single variabledistr.summary.x
Analysis of a univariate distribution using frequency tablesdistr.table.x
Analysis of a bivariate distribution using cross-tablesdistr.table.xy
Data ESG_Returns: Simulated ESG Performance and Financial ReturnsESG_Returns
Data Grocery_NE: Grocery Chain Customer Survey (North-East Italy)Grocery_NE
Data JobEngage: Employee Job Engagement SurveyJobEngage
Extract Model Residuals and other Regression DiagnosticsLM.output
Data Marketing_Mix: Marketing Investments and Digital PerformanceMarketing_Mix
Data MktDATA:MktDATA
Data: MktDATA.OrigMktDATA.Orig
Data Spending: Household Income and Spending PatternsSpending
Plot of central and non-central conditional tendency measures for a single numeric variablesummaries.plot.x
Tests on the difference between meansTEST.diffmean
Tests on the difference between proportionsTEST.diffprop
Tests on variancesTEST.diffvar
Test on the meanTEST.mean
Test on the proportionTEST.prop
Data Time_Social: Time Spent on a Social Media PlatformTime_Social
Data Transition: Employee Productivity After Software TransitionTransition