Package index • vizsurvey

All functions

build_df_timer_intvwr(): Build the df_timer of interviewer
classify_df(): Classify all variable of a data.frame
combine_vars(): Combine several variables in one key (multi-level wave or filter)
correct_list_df(): corrections of each df of a list
create_config(): Create a template of configuration file
create_df_stats(): Create statistics from database
create_eusilc_sim(): Simulate EU-SILC dataset with injected errors
create_fake_silc(): Use PUF files for SILC example
cut_safe(): Cut a continuous variable in n categories.
describe_variable(): Description d'une variable, globale ou par groupe
describe_variable_dt(): Description d'une variable rendue en DT
empty_as_na(): Replace empty by na
extract_config(): extract a config from key (config from load_config)
find_timer_rds(): Extract timer rds files from folder
folder_to_df(): tranform data from folder to config and df
group_vs_others(): Vecteur de groupe "VAR = valeur" / "VAR != valeur" pour les comparaisons
heatmap_group(): Create a heatmap
index_homogeneity(): index_homogeneity
is.integer64(): Check if value is integer64
key_level1(): First level of a multi-level key
key_level2(): Other levels of a multi-level key (used as label in the interface)
keys_vars(): Keys (modalities) of a wave or filter variable
list_dist(): List distribution of discrete variables
list_dist_dt(): List of proportions for categorical variables
load_config(): load a config file for prepare data
loop_stats(): Loop of stats creation by filter
match_keys(): Rows of a data.frame matching one or several keys
my_chisq_test(): Specific chisq test to NA and Other modality
prepa_stats(): Create a summarise of all the difference
prepa_stats_dt(): prepa_stats_dt
prepa_survey(): Preparation of a survey
prepa_surveys(): Preparation of all surveys from a folder
runVizsurvey(): Shiny vizsurvey
runVizsurvey_from_folder(): Shiny vizsurvey with already prepared data
runVizsurvey_from_r(): Shiny vizsurvey from a R data.frame
scale_IQR(): Robust Scale of a varible with IQR
score_isoforest(): calculate isoforest score from df
vars_levels(): Variables of each level of the wave or of the filter