Simulation for Factorial Designs

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Documentation for package ‘faux’ version 1.2.1

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

Help Pages

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