This package is considered a duplicate. The official version of this package is found at:https://dgerbing.r-universe.dev/lessR

Package: lessR 4.3.9

David W. Gerbing

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]

lessR_4.3.9.tar.gz
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lessR_4.3.9.tgz(r-4.4-emscripten)lessR_4.3.9.tgz(r-4.3-emscripten)
lessR.pdf |lessR.html✨
lessR/json (API)
NEWS

# Install 'lessR' in R:

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

Datasets:

dataAnova_1way - Data for a One-Way ANOVA
dataAnova_2way - Data for a Two-Way Balanced Factorial Design
dataAnova_rb - Data for a Randomized Block ANOVA
dataAnova_rbf - Data for a Randomized Block Factorial ANOVA
dataAnova_sp - Data for a Split-Plot ANOVA
dataBodyMeas - Data: Body Measurements
dataCars93 - Data: Cars93
dataEmployee - Data: Employees
dataEmployee_lbl - VariableLabels: Employee Data Set
dataFreqTable99 - Data: Joint Frequency Table
dataJackets - Data: Motorcycle Type and Thickness of Jacket
dataLearn - Data: Distributed vs Massed Practice
dataMach4 - Data: Machiavellianism
dataMach4_lbl - VariableLabels: Mach4 Data Set
dataReading - Data: Reading Ability
dataStockPrice - Data: Stock price of Apple, IBM and Intel from 1985 through May of 2024
dataWeightLoss - Data: WeightLoss

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

5.40 score 6 stars 2 packages 408 scripts 3.3k downloads 3 mentions 113 exports 54 dependencies

Last updated 13 days agofrom:c8b55434b7. Checks:OK: 2. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Dec 09 2024
R-4.5-linux	OK	Dec 09 2024

Exports:.ANOVA av av_brief BarChart bc BoxPlot bx ca cfa corCFA corEFA corProp corRead corReflect Correlation corReorder corScree CountAll cp cr cr_brief db Density details dn efa factors getColors Histogram hs interact kurtosis label Logit lr Merge model Model model_brief mrg Nest pc PieChart pivot Plot print.out print.out_all prob_norm prob_tcut prob_znorm prop Prop_test rd rd_lbl rd.cor Read Read2 recode reflect reg reg_brief regPlot Regression rename reord rescale reshape_long reshape_wide scales ScatterPlot scree see set showColors showPalettes simCImean simCLT simFlips simMeans skew Sort sort_by sp ss ss_brief STL style Subset SummaryStats to train_test Transform tt tt_brief ttest ttestPower ttp values VariableLabels ViolinPlot vl vp Write wrt wrt_r wrt_x xAnd xNum xP xRow xU xW

Dependencies:base64enc bslib cachem cli colorspace commonmark crayon deldir DEoptimR digest ellipse evaluate fastmap fontawesome fs glue highr htmltools httpuv interp jpeg jquerylib jsonlite knitr later lattice latticeExtra leaps lifecycle magrittr MASS memoise mime openxlsx png promises R6 rappdirs RColorBrewer Rcpp RcppEigen rlang robustbase sass shiny sourcetools stringi withr xfun xtable xts yaml zip zoo

Introduction to lessR

Rendered fromintro.Rmdusingknitr::rmarkdownon Dec 09 2024.

Last update: 2024-12-08
Started: 2024-06-25

Help page	Topics
Function . for Selecting Rows/Columns with base R Extract	.
Analysis of Variance	ANOVA av av_brief
Bar Chart for One or Two Variables	BarChart bc
Confirmatory Factor Analysis of a Multiple Indicator Measurement Model	cfa corCFA scales
Exploratory Factor Analysis and Multiple Indicator Measurement Model	corEFA efa
Proportionality Coefficients from Correlations	corProp cp
Read Specified Correlation Matrix	corRead rd.cor
Reflect Specified Variables in a Correlation Matrix	corReflect reflect
Correlation Analysis	Correlation cr cr_brief
Reorder Variables in a Correlation Matrix	corReorder reord
Eigenvalue Plot of a Correlation Matrix	corScree scree
CountAll Descriptive Analysis of all Variables in the Data Frame	ca CountAll
Data for a One-Way ANOVA	dataAnova_1way
Data for a Two-Way Balanced Factorial Design	dataAnova_2way
Data for a Randomized Block ANOVA	dataAnova_rb
Data for a Randomized Block Factorial ANOVA	dataAnova_rbf
Data for a Split-Plot ANOVA	dataAnova_sp
Data: Body Measurements	dataBodyMeas
Data: Cars93	dataCars93
Data: Employees	dataEmployee
VariableLabels: Employee Data Set	dataEmployee_lbl
Data: Joint Frequency Table	dataFreqTable99
Data: Motorcycle Type and Thickness of Jacket	dataJackets
Data: Distributed vs Massed Practice	dataLearn
Data: Machiavellianism	dataMach4
VariableLabels: Mach4 Data Set	dataMach4_lbl
Data: Reading Ability	dataReading
Data: Stock price of Apple, IBM and Intel from 1985 through May of 2024	dataStockPrice
Data: WeightLoss	dataWeightLoss
Density Curves from Data plus Histogram	Density dn
Display Contents of a Data File and Optional Variable Labels	db details
Create Factor Variables Across a Sequential Range or Vector of Variables	factors
Hue, Chroma, Luminance (HCL) Color Wheel or Specified Colors	getColors
Histogram	Histogram hs
Run Interactive Shiny Data Visualizations	interact
Kurtosis	kurtosis
Assign Variable Labels [Superseded by VariableLabels]	label
Logit Regression Analysis	Logit lr
Merge Two Data Frames Horizontally or Vertically	Merge mrg
Regression Analysis, ANOVA or t-test	Model model model_brief
Nest the Values of an Integer or Factor Variable	Nest nt
Pie Chart	pc PieChart
Create a Pivot (Summary) Table	pivot
Scatterplots including Time Series and Violin/Box/Scatterplot	BoxPlot bx Plot ScatterPlot sp ViolinPlot vp
Display a Portion of Output from a Saved List Object	print.out
Display All Text Output from a Saved List Object	print.out_all
Compute and Plot Normal Curve Probabilities over an Interval	prob_norm
Plot t-distribution Curve and Specified Cutoffs with Normal Curve	prob_tcut
Plot a Normal Curve with Shaded Intervals by Standard Deviation	prob_znorm
Analysis of Prop_test	prop Prop_test
Read Contents of a Data File with Optional Variable Labels and Feedback	rd rd_lbl Read Read2
Recode the Values of an Integer or Factor Variable	recode
regPlot Analysis	regPlot
Regression Analysis	reg Regression reg_brief
Rename One or More Variables in a Data Frame	rename
Rescale a Variable	rescale
Reshape a Wide-Form Data Frame to Long-Form	reshape_long
Reshape a Long-Form Data Frame to Wide-Form	reshape_wide
View the Upper and Left Corners of a Data Frame	see
Display All Named R Colors and Corresponding rgb Values	showColors
Display Color Palettes	showPalettes
Pedagogical Simulation for the Confidence Interval of the Mean	simCImean
Pedagogical Simulation for the Central Limit Theorem	simCLT
Pedagogical Binomial Simulation, Coin flips	simFlips
Pedagogical Simulation of Sample Means over Repeated Samples	simMeans
Skew of a variable.	skew
sort_by the Rows of a Data Frame	Sort sort_by
Seasonal and Trend Decomposition of a Time series via Loess	STL
Set the Default Color Theme and Other System Settings	set style
Subset the Values of One or More Variables	Subset
Summary Statistics for One or Two Variables	ss ss_brief SummaryStats
Create a Sequence of Numbered Variable Names with a Common Prefix and Width	to
Create Training and Testing Data	train_test
Deprecated: Transform the Values of an Integer or Factor Variable	Transform
Generic Method for t-test and Standardized Mean Difference with Enhanced Graphics	tt ttest tt_brief
Compute a Power Curve for a One or Two Group t-test	ttestPower ttp
List the Values of a Variable	values
Create or Display Variable Labels	VariableLabels vl
Write the Contents of a Data Frame to an External File	Write wrt wrt_r wrt_x
Text Processing: Insert and Into a List	xAnd
Text Processing: Convert a Number to a Word	xNum
Text Processing: Print Formatted Numbers	xP
Text Processing: Add the Word Row to Case Labels that Could be Numeric	xRow
Text Processing: Capitalize First Letter of a Word	xU
Text Processing: Wrap Words to Create New Lines From a Specified Line	xW

Package: lessR 4.3.9

lessR: Less Code, More Results

Introduction to lessR

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)