Function reference • kobocruncher

Chart

Crafted visualisation charts based on the data type

plot_correlation(): Plotting Correlation

plot_header(): Output Header

plot_integer(): Plotting numeric variable

plot_integer_cross(): Plotting numeric variable

plot_likert(): Plotting Likert

plot_select_multiple(): Plotting Select multiple variable

plot_select_multiple_cross(): Plotting Select multiple variable with cross tabulation on a second categorical variable

plot_select_one(): Plotting Select one variable

plot_select_one_cross(): Plotting Select one variable with cross tabulation on a second categorical variable

plot_text(): Plotting Open Text variables

Labeling

Functions to relabel both variables and choices

label_choiceset(): Get all the choices labels options for a specific variable if available

label_varhint(): Get Interpretation hint for a specific variable

label_varname(): Get the label for a specific variable

Crunching

Functions to automate the processing

kobo_anonymise(): Assess Statistical disclosure risk based on an intrusions scenario

kobo_cruncher(): Crunch all variables according to the analysis plan

kobo_data(): Data loading

kobo_dico(): Prepare Analysis plan

kobo_frame(): get the correct frame for one selected variable - important when having variables within a repeat

kobo_indicator(): Apply existing documented indicators and add new ones

kobo_likert(): Crunch all likert variables according to the analysis plan

kobo_prepare_form(): Prepare XLSform and review Analysis

kobo_ridl(): Archive all crunching files in RIDL

Report Template

Prebuild Report template to explore, interpret & Disseminate

template_1_exploration(): Initial Template for Automatic Data Exploration

Shiny App

Graphical User Interface with Shiny

run_app(): Run the Shiny Application