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All functions

add_scorerWeights_to_criteriaTree()
Add weights of a scorer to criteria tree
add_weights()
Add weights to a data frame for weighted estimates
add_weights_to_criteriaTree()
Add weights to criteria tree
aggregate_estimates_by_criterion()
Aggregate estimates by criterion
aggregate_estimates_by_criterionCluster()
Aggregate estimates by criterion clusters (parent criteria)
aggregate_estimates_by_decision()
Aggregate the (potentially weighted) estimates by decision
build_weighted_estimate_df()
Build a dataframe for weighted estimates
cat0()
Concatenate to screen without spaces
combine_weights_and_criteria()
Add weights from a data frame to criteria tree and update data frame
compute_best_alternatives() compute_worst_alternatives()
Copute the worst and best alternatives
compute_scores_per_alternative()
Compute the scores per alternative
confidence_based_sensitivity_analysis()
Conduct a sensitivity analysis based on confidence scores
create_labelDf()
Create data frame with identifiers and labels
criteriaCluster_df()
Create a data frame with scores per criteria cluster per scenario
criteriaCluster_df_perAlternative()
Create a data frame with scores per criteria cluster per alternative
get_alternativeLabel()
Get the alternative labels based on a data frame
highlighted_alternative_table()
Create a scenario overview with highlighted alternatives
insert_if_knitting_to_html()
Insert text only if knitting to HTML
insert_if_knitting_to_pdf()
Insert text only if knitting to pdf
opts
Options for the mdmcda package
performanceSubtable_from_estimates() all_performanceSubtables_from_estimates()
Produce one or more 'clean' performance subtables
performanceTable_heatmap()
Create a performance table heatmap
plot_criteria()
Produce a DiagrammeR plot and show it and/or convert to SVG
process_confidences()
Process the confidence scores and create plots
rbind_df_list()
Bind lots of dataframes together rowwise
rbind_dfs()
Simple alternative for rbind.fill or bind_rows
read_criteria_from_xl()
Read the criteria from a spreadsheet
read_estimates_from_xl()
Load estimates from an Excel file
read_labels_from_xl() read_criterionLabels_from_xl() read_decisionLabels_from_xl() read_decisionDescriptions_from_xl() read_scenarioLabels_from_xl() read_alternativeLabels_from_xl()
Read labels or descriptions from an Excel file
read_scenarioDefinitions_from_xl()
Import scenario definitions
read_scenarioDefinitions_in_columns_from_xl()
Import scenario definitions defined in columns
read_weightsMeansAndSDs_from_xl()
Read weightsMeansAndSDs data frame from an Excel file
repeatStr()
Repeat a string a number of times
scenario_alternative_table()
Create a scenario overview with the selected alternatives
scenario_overview()
Create an object with various useful data frames and plots for a scenario
scoreBarchart_criteria()
Create a bar chart with scores per criterion
scoreBarchart_criteriaCluster()
Create a bar chart with scores per criteria cluster
scoreBarchart_criteriaCluster_by_alternative()
Create a bar chart with scores per criteria cluster for every alternative in a decision
scoreBarchart_criteriaCluster_singleAlternative()
Create a bar chart with scores per criteria cluster for every alternative in a decision
scoreBarchart_criteria_for_singleDecision()
Create a bar chart with scores per criterion for one alternative
scoreBarchart_decisions()
Create a bar chart with scores per decision
scoreBarchart_scenariosByCluster()
Create a bar chart with scores per criteria cluster per scenario
scores_by_scenario()
Get the aggregated scores for each scenario
set_postsets()
Set postsets
vecTxt() vecTxtQ()
Easily parse a vector into a character value
weigh_multiEstimateDf()
Weigh estimates in a multiEstimateDf
weight_estimates_by_profile()
Weigh estimates by one or more weight profiles
wrapVector()
Wrap all elements in a vector
write_labels_to_xl() write_criterionLabels_to_xl() write_decisionLabels_to_xl() write_scenarioLabels_to_xl() write_alternativeLabels_to_xl()
Write labels to an Excel file
write_scenarioDefinitions_to_xl()
Write scenario definitions to an Excel spreadsheet
write_weightProfile_to_xl()
Write weight profiles to an Excel spreadsheet