Less Code with More Comprehensive Results

Documentation for package ‘lessR’ version 4.5.1

Help Pages

A B C D E F G H I K L M N O P R S T V W X misc

-- A --

ANOVA	Analysis of Variance
av	Analysis of Variance
av_brief	Analysis of Variance

-- B --

BarChart	Charts for One or Two Categorical Variables
BoxPlot	Univariate and Grouped Displays for a Continuous Variable
bx	Univariate and Grouped Displays for a Continuous Variable

-- C --

ca	CountAll Descriptive Analysis of all Variables in the Data Frame
cfa	Confirmatory Factor Analysis of a Multiple Indicator Measurement Model
Chart	Charts for One or Two Categorical Variables
corCFA	Confirmatory Factor Analysis of a Multiple Indicator Measurement Model
corEFA	Exploratory Factor Analysis and Multiple Indicator Measurement Model
corPrint	Print a Correlation Matrix with Special Formatting
corProp	Proportionality Coefficients from Correlations
corRead	Read Specified Correlation Matrix
corReflect	Reflect Specified Variables in a Correlation Matrix
Correlation	Correlation Analysis
corReorder	Reorder Variables in a Correlation Matrix
corScree	Eigenvalue Plot of a Correlation Matrix
CountAll	CountAll Descriptive Analysis of all Variables in the Data Frame
cp	Proportionality Coefficients from Correlations
cr	Correlation Analysis
cr_brief	Correlation Analysis

-- D --

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
db	Display Contents of a Data File and Optional Variable Labels
Density	Univariate and Grouped Displays for a Continuous Variable
details	Display Contents of a Data File and Optional Variable Labels

-- E --

efa	Exploratory Factor Analysis and Multiple Indicator Measurement Model

-- F --

factors	Create Factor Variables Across a Sequential Range or Vector of Variables
Flows	Sankey Flow Diagram (2- or 3-Stage) with Plotly

-- G --

getColors

Hue, Chroma, Luminance (HCL) Color Wheel or Specified Colors

-- H --

Histogram	Univariate and Grouped Displays for a Continuous Variable
hs	Univariate and Grouped Displays for a Continuous Variable

-- I --

interact

Run Interactive Shiny Data Visualizations

-- K --

kurtosis

Kurtosis

-- L --

label	Assign Variable Labels [Superseded by VariableLabels]
Logit	Logit Regression Analysis
lr	Logit Regression Analysis

-- M --

Merge	Merge Two Data Frames Horizontally or Vertically
Model	Regression Analysis, ANOVA or t-test
model	Regression Analysis, ANOVA or t-test
model_brief	Regression Analysis, ANOVA or t-test
mrg	Merge Two Data Frames Horizontally or Vertically

-- N --

Nest	Nest the Values of an Integer or Factor Variable
nt	Nest the Values of an Integer or Factor Variable

-- O --

order_by

order_by the Rows of a Data Frame

-- P --

pc	Charts for One or Two Categorical Variables
PieChart	Charts for One or Two Categorical Variables
pivot	Create a Pivot (Summary) Table
Plot	Scatterplots including Time Series
print.out	Display a Portion of Output from a Saved List Object
print.out_all	Display All Text Output from a Saved List Object
prob_norm	Compute and Plot Normal Curve Probabilities over an Interval
prob_tcut	Plot t-distribution Curve and Specified Cutoffs with Normal Curve
prob_znorm	Plot a Normal Curve with Shaded Intervals by Standard Deviation
prop	Analysis of Prop_test
Prop_test	Analysis of Prop_test

-- R --

rd	Read Contents of a Data File with Optional Variable Labels and Feedback
rd.cor	Read Specified Correlation Matrix
rd_lbl	Read Contents of a Data File with Optional Variable Labels and Feedback
Read	Read Contents of a Data File with Optional Variable Labels and Feedback
Read2	Read Contents of a Data File with Optional Variable Labels and Feedback
recode	Recode the Values of an Integer or Factor Variable
reflect	Reflect Specified Variables in a Correlation Matrix
reg	Regression Analysis
regPlot	regPlot Analysis
Regression	Regression Analysis
reg_brief	Regression Analysis
rename	Rename One or More Variables in a Data Frame
reord	Reorder Variables in a Correlation Matrix
rescale	Rescale a Variable
reshape_long	Reshape a Wide-Form Data Frame to Long-Form
reshape_wide	Reshape a Long-Form Data Frame to Wide-Form

-- S --

savePlotly	Save the last Plotly chart to a standalone HTML file
scales	Confirmatory Factor Analysis of a Multiple Indicator Measurement Model
ScatterPlot	Scatterplots including Time Series
scree	Eigenvalue Plot of a Correlation Matrix
see	View the Upper and Left Corners of a Data Frame
showColors	Display All Named R Colors and Corresponding rgb Values
showPalettes	Display Color Palettes
simCImean	Pedagogical Simulation for the Confidence Interval of the Mean
simCLT	Pedagogical Simulation for the Central Limit Theorem
simFlips	Pedagogical Binomial Simulation, Coin flips
simMeans	Pedagogical Simulation of Sample Means over Repeated Samples
skew	Skew of a variable.
sp	Scatterplots including Time Series
ss	Summary Statistics for One or Two Variables
ss_brief	Summary Statistics for One or Two Variables
STL	Seasonal and Trend Decomposition of a Time Series via Loess
style	Set the Default Color Theme and Other System Settings
Subset	Subset the Values of One or More Variables
SummaryStats	Summary Statistics for One or Two Variables

-- T --

to	Create a Sequence of Numbered Variable Names with a Common Prefix and Width
train_test	Create Training and Testing Data
Transform	Deprecated: Transform the Values of an Integer or Factor Variable
tt	Generic Method for t-test and Standardized Mean Difference with Enhanced Graphics
ttest	Generic Method for t-test and Standardized Mean Difference with Enhanced Graphics
ttestPower	Compute a Power Curve for a One or Two Group t-test
ttp	Compute a Power Curve for a One or Two Group t-test
tt_brief	Generic Method for t-test and Standardized Mean Difference with Enhanced Graphics

-- V --

values	List the Values of a Variable
VariableLabels	Create or Display Variable Labels
ViolinPlot	Univariate and Grouped Displays for a Continuous Variable
vl	Create or Display Variable Labels
vp	Univariate and Grouped Displays for a Continuous Variable

-- W --

Write	Write the Contents of a Data Frame to an External File
wrt	Write the Contents of a Data Frame to an External File
wrt_r	Write the Contents of a Data Frame to an External File
wrt_x	Write the Contents of a Data Frame to an External File

-- X --

X	Univariate and Grouped Displays for a Continuous Variable
xAnd	Text Processing: Insert and Into a List
xNum	Text Processing: Convert a Number to a Word
xP	Text Processing: Print Formatted Numbers
xRow	Text Processing: Add the Word Row to Case Labels that Could be Numeric
xU	Text Processing: Capitalize First Letter of a Word
xW	Text Processing: Wrap Words to Create New Lines From a Specified Line
XY	Scatterplots including Time Series

-- misc --

.	Function . for Selecting Rows/Columns with base R Extract