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