Package: lessR 4.3.8

lessR: Less Code, More Results

Each function replaces multiple standard R functions. For example, two function calls, Read() and CountAll(), generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for summary statistics via pivot tables, a comprehensive regression analysis, ANOVA and t-test, visualizations including the Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, time series with aggregation and forecasting, color themes, and Trellis graphics. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, generation and rendering of regression instructions for interpretative output, and interactive visualizations.

Authors:David W. Gerbing [aut, cre]

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NEWS

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

Peer review:

Datasets:

On CRAN:

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

7.06 score 6 stars 2 packages 366 scripts 4.1k downloads 3 mentions 113 exports 54 dependencies

Last updated 1 months agofrom:3c4d447401. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-winOKNov 07 2024
R-4.5-linuxOKNov 07 2024
R-4.4-winOKNov 07 2024
R-4.4-macOKNov 07 2024
R-4.3-winOKNov 07 2024
R-4.3-macOKNov 07 2024

Exports:.ANOVAavav_briefBarChartbcBoxPlotbxcacfacorCFAcorEFAcorPropcorReadcorReflectCorrelationcorReordercorScreeCountAllcpcrcr_briefdbDensitydetailsdnefafactorsgetColorsHistogramhsinteractkurtosislabelLogitlrMergemodelModelmodel_briefmrgNestpcPieChartpivotPlotprint.outprint.out_allprob_normprob_tcutprob_znormpropProp_testrdrd_lblrd.corReadRead2recodereflectregreg_briefregPlotRegressionrenamereordrescalereshape_longreshape_widescalesScatterPlotscreeseesetshowColorsshowPalettessimCImeansimCLTsimFlipssimMeansskewSortsort_byspssss_briefSTLstyleSubsetSummaryStatstotrain_testTransformtttt_briefttestttestPowerttpvaluesVariableLabelsViolinPlotvlvpWritewrtwrt_rwrt_xxAndxNumxPxRowxUxW

Dependencies:base64encbslibcachemclicolorspacecommonmarkcrayondeldirDEoptimRdigestellipseevaluatefastmapfontawesomefsgluehighrhtmltoolshttpuvinterpjpegjquerylibjsonliteknitrlaterlatticelatticeExtraleapslifecyclemagrittrMASSmemoisemimeopenxlsxpngpromisesR6rappdirsRColorBrewerRcppRcppEigenrlangrobustbasesassshinysourcetoolsstringiwithrxfunxtablextsyamlzipzoo

Introduction to lessR

Rendered fromintro.Rmdusingknitr::rmarkdownon Nov 07 2024.

Last update: 2024-10-08
Started: 2024-06-25

Readme and manuals

Help Manual

Help pageTopics
Function . for Selecting Rows/Columns with base R Extract.
Analysis of VarianceANOVA av av_brief
Bar Chart for One or Two VariablesBarChart bc
Confirmatory Factor Analysis of a Multiple Indicator Measurement Modelcfa corCFA scales
Exploratory Factor Analysis and Multiple Indicator Measurement ModelcorEFA efa
Proportionality Coefficients from CorrelationscorProp cp
Read Specified Correlation MatrixcorRead rd.cor
Reflect Specified Variables in a Correlation MatrixcorReflect reflect
Correlation AnalysisCorrelation cr cr_brief
Reorder Variables in a Correlation MatrixcorReorder reord
Eigenvalue Plot of a Correlation MatrixcorScree scree
CountAll Descriptive Analysis of all Variables in the Data Frameca CountAll
Data for a One-Way ANOVAdataAnova_1way
Data for a Two-Way Balanced Factorial DesigndataAnova_2way
Data for a Randomized Block ANOVAdataAnova_rb
Data for a Randomized Block Factorial ANOVAdataAnova_rbf
Data for a Split-Plot ANOVAdataAnova_sp
Data: Body MeasurementsdataBodyMeas
Data: Cars93dataCars93
Data: EmployeesdataEmployee
VariableLabels: Employee Data SetdataEmployee_lbl
Data: Joint Frequency TabledataFreqTable99
Data: Motorcycle Type and Thickness of JacketdataJackets
Data: Distributed vs Massed PracticedataLearn
Data: MachiavellianismdataMach4
VariableLabels: Mach4 Data SetdataMach4_lbl
Data: Reading AbilitydataReading
Data: Stock price of Apple, IBM and Intel from 1985 through May of 2024dataStockPrice
Data: WeightLossdataWeightLoss
Density Curves from Data plus HistogramDensity dn
Display Contents of a Data File and Optional Variable Labelsdb details
Create Factor Variables Across a Sequential Range or Vector of Variablesfactors
Hue, Chroma, Luminance (HCL) Color Wheel or Specified ColorsgetColors
HistogramHistogram hs
Run Interactive Shiny Data Visualizationsinteract
Kurtosiskurtosis
Assign Variable Labels [Superseded by VariableLabels]label
Logit Regression AnalysisLogit lr
Merge Two Data Frames Horizontally or VerticallyMerge mrg
Regression Analysis, ANOVA or t-testModel model model_brief
Nest the Values of an Integer or Factor VariableNest nt
Pie Chartpc PieChart
Create a Pivot (Summary) Tablepivot
Scatterplots including Time Series and Violin/Box/ScatterplotBoxPlot bx Plot ScatterPlot sp ViolinPlot vp
Display a Portion of Output from a Saved List Objectprint.out
Display All Text Output from a Saved List Objectprint.out_all
Compute and Plot Normal Curve Probabilities over an Intervalprob_norm
Plot t-distribution Curve and Specified Cutoffs with Normal Curveprob_tcut
Plot a Normal Curve with Shaded Intervals by Standard Deviationprob_znorm
Analysis of Prop_testprop Prop_test
Read Contents of a Data File with Optional Variable Labels and Feedbackrd rd_lbl Read Read2
Recode the Values of an Integer or Factor Variablerecode
regPlot AnalysisregPlot
Regression Analysisreg Regression reg_brief
Rename One or More Variables in a Data Framerename
Rescale a Variablerescale
Reshape a Wide-Form Data Frame to Long-Formreshape_long
Reshape a Wide-Form Data Frame to Wide-Formreshape_wide
View the Upper and Left Corners of a Data Framesee
Display All Named R Colors and Corresponding rgb ValuesshowColors
Display Color PalettesshowPalettes
Pedagogical Simulation for the Confidence Interval of the MeansimCImean
Pedagogical Simulation for the Central Limit TheoremsimCLT
Pedagogical Binomial Simulation, Coin flipssimFlips
Pedagogical Simulation of Sample Means over Repeated SamplessimMeans
Skew of a variable.skew
sort_by the Rows of a Data FrameSort sort_by
Seasonal and Trend Decomposition of a Time series via LoessSTL
Set the Default Color Theme and Other System Settingsset style
Subset the Values of One or More VariablesSubset
Summary Statistics for One or Two Variablesss ss_brief SummaryStats
Create a Sequence of Numbered Variable Names with a Common Prefix and Widthto
Create Training and Testing Datatrain_test
Deprecated: Transform the Values of an Integer or Factor VariableTransform
Generic Method for t-test and Standardized Mean Difference with Enhanced Graphicstt ttest tt_brief
Compute a Power Curve for a One or Two Group t-testttestPower ttp
List the Values of a Variablevalues
Create or Display Variable LabelsVariableLabels vl
Write the Contents of a Data Frame to an External FileWrite wrt wrt_r wrt_x
Text Processing: Insert and Into a ListxAnd
Text Processing: Convert a Number to a WordxNum
Text Processing: Print Formatted NumbersxP
Text Processing: Add the Word Row to Case Labels that Could be NumericxRow
Text Processing: Capitalize First Letter of a WordxU
Text Processing: Wrap Words to Create New Lines From a Specified LinexW