Performs one iteration through the CM to determine the (normative) value of the nodes in the CM
evaluation_step.RdHelper-function. This function runs a single evaluation step to determine to what extent the nodes (concepts) in a CM are considered to be positive (are supported), negative (not supported) or ambiguous (has positive and negative consequences) as derived from the argumentation in the map. It determines the evaluation of a node (cause-concept) by analysing its outgoing relations (consequent paths) taking into account the initial value (positive, negative, ambiguous) of the nodes in the consequent path (effect-concepts) and the sign (positive, negative, non-existent) of the relation between the node (cause-concept) and the nodes in it's consequent paths (effect-concepts). If a node (cause-concept) is positively linked to a consequent node (effect-concept) which is valued positively (a contributes positively to b and b is seen as a positive thing); then logically the node (cause-concept) is also regarded as positive. A negative relation to a positive consequent node (effect-concept) (a diminishes b, while b is seen as a positive thing) logically leads to the conclusion that the node (cause-concept) is valued negatively. A negative relation to a negatively valued node (effect-concept) suggest that the cause-concept positive. The function takes the dyads of nodes (cause and effect-concept) and determines the value of all cause-concepts. As nodes may have multiple consequent paths, that may lead to different conclusions as to the value of the cause-concept. This function only performs this analysis once. It often needs to be iterated a multiple times in order to return the true value of the concepts in a CM, because when performing this analysis the value of the concepts may change and therefore subsequently the value of other concepts will need to change too. To conduct a more holistic and accurate analysis of the value of the concepts, use the "evaluate_concepts" function in this R-package.