Function reference • rrclust

All functions

capture_log1(): Capture message, warnings and errors from a R function

check_container_dir(): Check whether a directory looks like a container

clustmeth_identifier_number(): Create a single identifier number

copy_param(): Function copying the description and the input path from files to the PARAM_GLOBAL

descr_stat_fun(): Function to generate descriptive statistics

draw_flow(): Draw data flow

fun_ggplot_hist2(): Function to make histograms using clusters distribution

function_kamplot(): Draw scatterplot using clusters distribution

gen_demo_data(): Generate random demo data

invalid_utf8(): Search for invalid lines in UTF-8

mod_calc_kamila(): Splitting the initial dataset into kstar clusters

mod_catcontvar(): Splitting the continuous from the categorical data

mod_init(): Check whether all inputs are tidy tibbles

mod_inp_kamila(): Function to read the data

mod_input_ind_yearly_rr(): Read of the pension register

mod_input_kmres(): Read of the kamila results of the training set

mod_kstar(): Estimation of the best number of clusters using the Kamila algorithm

mod_log(): Write the version of the packages

mod_out_kamila(): Write the directory of the output container

mod_prepa_rr(): Prepare the pension register data

mod_return(): mod_return() for the modules

mod_tsvs(): Split the data into a Training set and a Validation set

multi_run(): Write a message and execute the function applied on one or more containers

param_all_update(): Update the PARAM_ALL

param_replace(): Write and replace parameters

param_tidylist_read(): Read all parameters files from a folder and return a tidylist

path_data(): Read the data from the path in PARAM_GLOBAL

path_out_resolve(): Resolve the path_out

path_param(): Create a the path of the parameters

prepare_input(): Read and write the inputs for the calculation in a tidylist

rangeStandardize(): Standardize continuous variables

read_description(): Read the DESCRIPTION file

read_param(): Read a single parameters csv file

read_path_data(): Read the directory given in the inp file

read_utf8(): Read files encoded in UTF-8

run_kamila(): Run the Kamila estimation

separate_at_comma(): Separate a string of several words at commas to a vector

tidylist(): Build a tidylist

tidylist_ensure(): Ensure a tidylist contains only 'tidy' data frames

tidylist_read(): Import a tidylist from a collection of tidy csv files

tidylist_write(): Write a list of CSV files

trace_flow(): Trace and visualize workflow

trace_this(): Trace the inputs (mod_init) and the outputs

wrap_computation_kamila(): Memoise a copy of wrap_computation_kamila

wrap_computation_kamila_(): Wrapper for the clusters construction

wrap_kamila(): Memoise the function wrap_kamila

wrap_kamila_(): Run Kamila algorithm

wrap_prepadata(): Memoise a copy of wrap_prepadata

wrap_prepadata_(): Prepare the data

write_param(): Write parameters