summarise_specs {specr}

Summarise specifications

Description

This function is deprecated because the new version of specr uses a new analytic framework. In this framework, you can plot a similar figure simply by using the generic plot() function. This function allows to inspect results of the specification curves by returning a comparatively simple summary of the results. This summary can be produced for various specific analytical choices and customized summary functions.

Usage

summarise_specs(
  df,
  ...,
  var = .data$estimate,
  stats = list(median = median, mad = mad, min = min, max = max, q25 = function(x)
    quantile(x, prob = 0.25), q75 = function(x) quantile(x, prob = 0.75))
)

Arguments

df

a data frame resulting from run_specs().

...

one or more grouping variables (e.g., subsets, controls,...) that denote the available analytical choices.

var

which variable should be evaluated? Defaults to estimate (the effect sizes computed by run_specs()).

stats

named vector or named list of summary functions (individually defined summary functions can included). If it is not named, placeholders (e.g., "fn1") will be used as column names.

Value

a tibble.

See Also

plot_summary() to visually investigate the affect of analytical choices.

Examples

# Run specification curve analysis
results <- run_specs(df = example_data,
                     y = c("y1", "y2"),
                     x = c("x1", "x2"),
                     model = c("lm"),
                     controls = c("c1", "c2"),
                     subsets = list(group1 = unique(example_data$group1),
                                    group2 = unique(example_data$group2)))

# overall summary
summarise_specs(results)

# Summary of specific analytical choices
summarise_specs(results,    # data frame
                x, y)       # analytical choices

# Summary of other parameters across several analytical choices
summarise_specs(results,
                subsets, controls,
                var = p.value,
                stats = list(median = median,
                             min = min,
                             max = max))

# Unnamed vector instead of named list passed to `stats`
summarise_specs(results,
                controls,
                stats = c(mean = mean,
                          median = median))