Simulation for Factorial Designs
Generate a cross-classified sample
Generate a mixed design from existing data
Standardized Alpha to Average R
Convert truncated normal to normal
Convert uniform to normal
Make unique pairs of level names for correlations
Convert data from wide to long format
Plot design
Limits on Missing Value for Positive Definite Matrix
Print Design List
Print Nested List
Print Codebook Object
Likert quantile function
Check readline input
Random Likert distribution
Multiple correlated distributions
Multiple correlated normal distributions
Make a normal vector correlated to existing vectors
Sample Parameters from Population Parameters
Set design
Simulate data from design (internal)
Simulate data from design
Simulate an existing dataframe
Add between factors
Add a contrast to a data frame
Add random factors to a data structure
Add random effects to a data frame
Recode a categorical column
Add within factors
Average r to Random Intercept SD
Convert beta to normal
Convert binomial to normal
Cell combos
Simulate category joint distribution
Validates the specified design
Get random intercepts for subjects and items
Create PsychDS Codebook from Data
Interactive Codebook
Anova code a factor
Difference code a factor
Helmert code a factor
Polynomial code a factor
Sum code a factor
Treatment code a factor
Convert parameter
Convert r for NORTA
Make a correlation matrix
Make Correlation Matrix from Triangle
Get distribution functions
Likert density function
faux: Simulation Functions.
Set/get global faux options
Get Fréchet-Hoefding bounds
Fix name labels
Convert gamma to normal
Get Coefficients from Data
Get design
Get design from long data
Get parameters from a data table
Get data columns
Set design interactively
Check a Matrix is Positive Definite
Convert design to JSON
Convert data from long to wide format
Make ID
Less scary green messages
Simulate missing data
Output a nested list in RMarkdown list format
Convert normal to beta
Convert normal to binomial
Convert normal to gamma
Convert normal to likert
Convert normal to normal
Convert normal to poisson
Convert normal to truncated normal
Convert normal to uniform
Piped OR
Pipe operator
Likert distribution function
Create datasets with factorial structure through simulation by specifying variable parameters. Extended documentation at <https://debruine.github.io/faux/>. Described in DeBruine (2020) <doi:10.5281/zenodo.2669586>.