Update a criterion

Update a criterion

update_criterion(
  study,
  id,
  result = NULL,
  operator = NULL,
  comparator = NULL,
  analysis_id = NULL,
  hypothesis_id = NULL,
  new_id = NULL
)

Arguments

study	A study list object with class scivrs_study
id	A unique name to refer to the criterion with in the evaluation
result	The name of the item in the analysis results list to compare
operator	The operator for comparison c("<", "=", ">", "!=")
comparator	The value to compare
analysis_id	The id for the relevant analysis (index or character) if NULL, assigns to the last analysis in the list
hypothesis_id	The id for the hypothesis (index or character) if NULL, assigns to the last hypothesis in the list
new_id	A new (character) ID for this criterion

Value

A study object with class scivrs_study

Examples

s <- study() %>%
  add_hypothesis("H1") %>%
  add_analysis("A1", t.test(rnorm(100))) %>%
  add_criterion("p", "p.value", ">", 0.05) %>%
  study_analyse()
#> Hypothesis H1 has no evaluation criteria for corroboration
#> Hypothesis H1 has no evaluation criteria for falsification
#> Hypothesis H1: Describe your hypothesis
#> 
#> Criterion p:
#> * p.value > 0.05 is TRUE
#> * p.value = 0.267
#> 
#> Conclusion: inconclusive
#> * Corroborate (*no criteria*): FALSE
#> * Falsify (*no criteria*): FALSE

s <- update_criterion(s, "p", operator = "<",
                      analysis_id = "A1",
                      hypothesis_id = "H1" ) %>%
     study_analyse()
#> Hypothesis H1 has no evaluation criteria for corroboration
#> Hypothesis H1 has no evaluation criteria for falsification
#> Hypothesis H1: Describe your hypothesis
#> 
#> Criterion p:
#> * p.value < 0.05 is FALSE
#> * p.value = 0.109
#> 
#> Conclusion: inconclusive
#> * Corroborate (*no criteria*): FALSE
#> * Falsify (*no criteria*): FALSE