Prepare data for summarising descriptive statistics — prepare_df_for

Calculates the number of fixed variables, the number of random variables, the sample size, the number of interactions, the number of linear models, the number of generalised models, the number of fixed effects, and the number of random effects for each analysis in the dataset. Also codes whether each analysis employs a linear model, a generalised model, or a Bayesian model.

Usage

prepare_df_for_summarising(data)

Arguments

data: A tibble containing many-analyst data to be summarised.

Value

A tibble containing the data prepared for summarising.

Examples

ManyEcoEvo::ManyEcoEvo %>%
  select(data) %>%
  unnest(everything()) %>%
  prepare_df_for_summarising()
#> # A tibble: 302 × 40
#>    response_id       submission_id analysis_id split_id TeamIdentifier id_col   
#>    <chr>                     <dbl>       <dbl>    <dbl> <chr>          <chr>    
#>  1 R_11787O3NmejXKAH             1           2        2 Ayr            Ayr-1-2-2
#>  2 R_11787O3NmejXKAH             1           2        3 Ayr            Ayr-1-2-3
#>  3 R_11787O3NmejXKAH             1           2        1 Ayr            Ayr-1-2-1
#>  4 R_126erjKKuN3IwSJ             2           2        1 Bega           Bega-2-2…
#>  5 R_126erjKKuN3IwSJ             2           2        2 Bega           Bega-2-2…
#>  6 R_126erjKKuN3IwSJ             1           1        1 Bega           Bega-1-1…
#>  7 R_126erjKKuN3IwSJ             1           1        2 Bega           Bega-1-1…
#>  8 R_12cozGev3IOOBG2             4           4        1 Bell           Bell-4-4…
#>  9 R_12cozGev3IOOBG2             3           3        1 Bell           Bell-3-3…
#> 10 R_12cozGev3IOOBG2             1           1        1 Bell           Bell-1-1…
#> # ℹ 292 more rows
#> # ℹ 34 more variables: beta_estimate <dbl>, contrast <chr>, adjusted_df <dbl>,
#> #   beta_SE <dbl>, transformation <chr>, link_function_reported <chr>,
#> #   dataset <chr>, mixed_model <dbl>,
#> #   response_transformation_description <chr>,
#> #   response_transformation_status <chr>, response_variable_type <chr>,
#> #   response_construction_description <chr>, response_variable_name <chr>, …