Function reference • faux

Simulation functions
`rmulti()`	Multiple correlated distributions
`rnorm_multi()`	Multiple correlated normal distributions
`rnorm_pre()`	Make a normal vector correlated to existing vectors
`sim_design()`	Simulate data from design
`sim_df()`	Simulate an existing dataframe
`sim_joint_dist()`	Simulate category joint distribution
Mixed effects functions
`add_random()`	Add random factors to a data structure
`add_within()`	Add within factors
`add_between()`	Add between factors
`add_recode()`	Recode a categorical column
`add_ranef()`	Add random effects to a data frame
`sim_mixed_cc()`	Generate a cross-classified sample
`sim_mixed_df()`	Generate a mixed design from existing data
Contrasts
`add_contrast()`	Add a contrast to a data frame
`contr_code_treatment()`	Treatment code a factor
`contr_code_anova()`	Anova code a factor
`contr_code_sum()`	Sum code a factor
`contr_code_difference()`	Difference code a factor
`contr_code_helmert()`	Helmert code a factor
`contr_code_poly()`	Polynomial code a factor
Other useful functions
`codebook()`	Create PsychDS Codebook from Data
`get_params()` `check_sim_stats()`	Get parameters from a data table
`json_design()`	Convert design to JSON
`make_id()`	Make ID
`messy()`	Simulate missing data
`long2wide()`	Convert data from long to wide format
`wide2long()`	Convert data from wide to long format
`faux_options()`	Set/get global faux options
Datasets
`faceratings`	Attractiveness ratings of faces
`fr4`	Attractiveness rating subset
Helper functions
`average_r2tau_0()`	Average r to Random Intercept SD
`check_design()`	Validates the specified design
`check_mixed_design()`	Get random intercepts for subjects and items
`cormat()`	Make a correlation matrix
`cormat_from_triangle()`	Make Correlation Matrix from Triangle
`faux`	faux: Simulation Functions.
`fix_name_labels()`	Fix name labels
`get_coefs()`	Get Coefficients from Data
`get_design()`	Get design
`get_design_long()`	Get design from long data
`getcols()`	Get data columns
`interactive_design()`	Set design interactively
`is_pos_def()`	Check a Matrix is Positive Definite
`nested_list()`	Output a nested list in RMarkdown list format
`plot_design()` `plot(<design>)` `plot(<faux>)`	Plot design
`pos_def_limits()`	Limits on Missing Value for Positive Definite Matrix
`readline_check()`	Check readline input
`sample_from_pop()`	Sample Parameters from Population Parameters
`set_design()`	Set design
`unique_pairs()`	Make unique pairs of level names for correlations
Distribution functions
`std_alpha2average_r()`	Standardized Alpha to Average R
`convert_r()`	Convert r for NORTA
`distfuncs()`	Get distribution functions
`fh_bounds()`	Get Fréchet-Hoefding bounds
`rlikert()`	Random Likert distribution
`dlikert()`	Likert density function
`plikert()`	Likert distribution function
`qlikert()`	Likert quantile function
`norm2likert()`	Convert normal to likert
`norm2beta()`	Convert normal to beta
`norm2binom()`	Convert normal to binomial
`norm2gamma()`	Convert normal to gamma
`norm2norm()`	Convert normal to normal
`norm2pois()`	Convert normal to poisson
`norm2trunc()`	Convert normal to truncated normal
`trunc2norm()`	Convert truncated normal to normal
`norm2unif()`	Convert normal to uniform
`beta2norm()`	Convert beta to normal
`binom2norm()`	Convert binomial to normal
`gamma2norm()`	Convert gamma to normal
`unif2norm()`	Convert uniform to normal

Reference

Simulation functions

Mixed effects functions

Contrasts

Other useful functions

Datasets

Helper functions

Distribution functions