crosstable_effect_args function

Default arguments for calculating and displaying effects in crosstable()

Default arguments for calculating and displaying effects in crosstable()

This helper function provides default parameters for defining how the effect sizes should be computed. It belongs to the effect_args argument of the crosstable() function. See effect_summary , effect_tabular , and effect_survival for more insight.

crosstable_effect_args( effect_summarize = diff_mean_auto, effect_tabular = effect_odds_ratio, effect_survival = effect_survival_coxph, effect_display = display_effect, conf_level = 0.95, digits = 2 )

Arguments

  • effect_summarize: a function of three arguments (continuous variable, grouping variable and conf_level), used to compare continuous variable. Returns a list of five components: effect (the effect value(s)), ci (the matrix of confidence interval(s)), effect.name (the interpretation(s) of the effect value(s)), effect.type (the description of the measure used) and conf_level (the confidence interval level). Users can use diff_mean_auto(), diff_mean_student(), diff_mean_boot(), or diff_median(), or their custom own function.
  • effect_tabular: a function of three arguments (two categorical variables and conf_level) used to measure the associations between two factors. Returns a list of five components: effect (the effect value(s)), ci (the matrix of confidence interval(s)), effect.name (the interpretation(s) of the effect value(s)), effect.type (the description of the measure used) and conf_level (the confidence interval level).Users can use effect_odds_ratio(), effect_relative_risk(), or effect_risk_difference(), or their custom own function.
  • effect_survival: a function of two argument (a formula and conf_level), used to measure the association between a censored and a factor. Returns the same components as created by effect_summarize.Users can use effect_survival_coxph() or their custom own function.
  • effect_display: a function to format the effect. See display_effect().
  • conf_level: the desired confidence interval level
  • digits: the decimal places

Returns

A list with effect parameters

Author(s)

Dan Chaltiel