Package index • 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-package faux: faux: Simulation Functions.

fix_name_labels(): Fix name labels

get_coefs(): Get Coefficients from Data

get_contrast_vals(): Get contrast values

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

norm2nbinom(): Convert normal to negative binomial

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

nbinom2norm(): Convert negative binomial to normal

unif2norm(): Convert uniform to normal