# Less Code, More Results

## Documentation for package ‘lessR’ version 3.9.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

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

## -- A --

ANOVA | Analysis of Variance
av | Analysis of Variance
av.brief | Analysis of Variance
av_brief | Analysis of Variance

## -- B --

BarChart | Bar Chart for One or Two Variables
bc | Bar Chart for One or Two Variables
BoxPlot | Plot One or Two Continuous and/or Categorical Variables
bx | Plot One or Two Continuous and/or Categorical Variables

## -- C --

ca | CountAll Descriptive Analysis of all Variables in the Data Frame
cfa | Confirmatory Factor Analysis of a Multiple Indicator Measurement Model
corCFA | Confirmatory Factor Analysis of a Multiple Indicator Measurement Model
corEFA | Exploratory Factor Analysis and Multiple Indicator Measurement Model
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
cr | Correlation Analysis
cr.brief | Correlation Analysis
cr_brief | Correlation Analysis

## -- D --

dataBodyMeas | Data: Body Measurements
dataCars93 | Data: Cars93
dataEmployee | Data: Employees
dataEmployee_lbl | VariableLabels: Employee Data Set
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 1980 through January of 2019
db | Display Contents of a Data File and Optional Variable Labels
Density | Density Curves from Data plus Histogram
details | Display Contents of a Data File and Optional Variable Labels
dn | Density Curves from Data plus Histogram

## -- E --

efa | Exploratory Factor Analysis and Multiple Indicator Measurement Model

## -- F --

factors | Create Factor Variables Across a Sequential Range or Vector of Variables

## -- G --

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

## -- H --

Help | Help System for Statistics by Topic that Suggests Related Functions
Histogram | Histogram
hs | Histogram

## -- I --

ic | General Variable List for Selecting Columns with base R Extract
ir | General Variable List for Selecting Rows with base R Extract

## -- L --

label | Assign Variable Labels [Superseded by VariableLabels]
lc | Line Chart such as a Run Chart or Time-Series Chart
LineChart | Line Chart such as a Run Chart or Time-Series Chart
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

## -- P --

pc | Pie Chart
PieChart | Pie Chart
pivot | Create a Pivot Table
pl | Plot One or Two Continuous and/or Categorical Variables
Plot | Plot One or Two Continuous and/or Categorical Variables
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
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 | Proportionality Coefficients from Correlations

## -- R --

rd | Read Contents of a Data File with Optional Variable Labels and Feedback
rd.brief | Read Contents of a Data File with Optional Variable Labels and Feedback
rd.cor | Read Specified Correlation Matrix
rd_brief | Read Contents of a Data File with Optional Variable Labels and Feedback
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
rec | Recode the Values of an Integer or Factor Variable
Recode | Recode the Values of an Integer or Factor Variable
reflect | Reflect Specified Variables in a Correlation Matrix
reg | Regression Analysis
reg.brief | Regression Analysis
regPlot | regPlot Analysis
Regression | Regression Analysis
reg_brief | Regression Analysis
reord | Reorder Variables in a Correlation Matrix

## -- S --

scales | Confirmatory Factor Analysis of a Multiple Indicator Measurement Model
ScatterPlot | Plot One or Two Continuous and/or Categorical Variables
scree | Eigenvalue Plot of a Correlation Matrix
set | Set the Default Color Theme and Other System Settings
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
Sort | Sort the Rows of a Data Frame
sp | Plot One or Two Continuous and/or Categorical Variables
srt | Sort the Rows of a Data Frame
ss | Summary Statistics for One or Two Variables
ss.brief | Summary Statistics for One or Two Variables
ss_brief | Summary Statistics for One or Two Variables
style | Set the Default Color Theme and Other System Settings
subs | Subset the Values of One or More Variables
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
trans | Transform the Values of an Integer or Factor Variable
Transform | Transform the Values of an Integer or Factor Variable
tt | Generic Method for t-test and Standardized Mean Difference with Enhanced Graphics
tt.brief | 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 | Plot One or Two Continuous and/or Categorical Variables
vl | Create or Display Variable Labels
vp | Plot One or Two Continuous and/or Categorical Variables

## -- 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 --

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