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All functions

APAStyler()
A generic function for pretty printing in (semi) APA Style
APAStyler(<SEMSummary>)
A generic function for pretty printing in (semi) APA Style
APAStyler(<list>)
APAStyler method for lists
APAStyler(<lm>)
APAStyler method for linear models
APAStyler(<mira>)
A generic function for pretty printing in (semi) APA Style
APAStyler(<modelTest.lm>)
APAStyler method for model tests from a linear model
APAStyler(<modelTest.vglm>)
APAStyler method for model tests from a vglm multinomial model
R2()
Calculate R2 Values
SEMSummary()
Summary Statistics for a SEM Analysis
SEMSummary.fit()
Summary Statistics for a SEM Analysis
TukeyHSDgg()
Tukey HSD Plot
VAConverter()
Visual Acuity Converter
`[`(<VAObject>,<ANY>,<ANY>,<ANY>) print(<VAObject>) show(<VAObject>) summary(<VAObject>)
An S4 class to hold visual acuity data
show(<VASummaryObject>) plot(<VASummaryObject>,<missing>)
An S4 class to hold visual acuity summary data
aces_daily
Multilevel Daily Data Example
as.na()
Coerces vectors to missing
cd()
Change directory
compareIVs()
Compares the effects of various independent variables on dependent variables
saveRDSfst() readRDSfst()
Save and read RDS functions for using multithreaded “ZSTD” or “LZ4” compression
cor2cov()
Convert a correlation matrix and standard deviations to a covariance matrix
corOK()
Return a non-missing correlation matrix
corplot()
Heatmap of a Correlation Matrix
cramerV()
Calculate Phi or Cramer's V effect size
diffCircular()
Calculate the Circular Difference
.fround()
Function to round and format a number
.quantilePercentiles()
Internal Function to Calculate Quantiles
egltable()
Function makes nice tables
empirical_pvalue()
Calculates an empirical p-value based on the data
findSigRegions()
Function to find significant regions from an interaction
formatHtest()
Function to format the reuslts of a hypothesis test as text
formatMedIQR()
Function to format the median and IQR of a variable
formatPval()
Function to simplify formatting p-values for easy viewing / publication
geom_tufterange()
Tufte Range
gglikert()
Creates a plot for likert scale
hashDataset()
Create a character vector or file hash of a dataset and each variable
intSigRegGraph()
Function to find significant regions from an interaction
is.naz()
Is a variable missing, non finite or zero length character?
lagk()
Create a lagged variable
lm2()
Modified lm() to use a specified design matrix
meanCircular()
Calculate a Circular Mean
modelCompare() as.modelCompare() is.modelCompare()
Compare Two Models
modelDiagnostics() as.modelDiagnostics() is.modelDiagnostics()
Model Diagnostics Functions
modelPerformance() as.modelPerformance() is.modelPerformance()
Return Indices of Model Performance
modelTest() is.modelTest() as.modelTest()
Detailed Tests on Models
moments()
Estimate the first and second moments
naz.omit()
Missing and Zero Character Omit
param_summary()
Calculates summaries for a parameter
param_summary_format()
Format a data frame of summary statistics
plot(<SEMSummary>)
Plots SEMSummary object
plot(<SEMSummary.list>)
Plots SEMSummary.list object
plot(<modelDiagnostics.lm>)
Plot Diagnostics for an lm model
plot(<residualDiagnostics>)
Plot Residual Diagnostics Default Method
plot(<testDistribution>)
Plot method for testDistribution objects
residualDiagnostics() as.residualDiagnostics() is.residualDiagnostics()
Residual Diagnostics Functions
roundedfivenum()
Calculate a rounded five number summary
smd()
Calculate Standardized Mean Difference (SMD)
star()
Function to simplify converting p-values to asterisks
testDistribution() as.testDistribution() is.testDistribution()
Test the distribution of a variable against a specific distribution
theme_tufte()
Tufte Inspired Theme
timeshift()
Shift a time variable to have a new center (zero point)
winsorizor()
Winsorize at specified percentiles