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Create a table from the analysis_key and results object

create_analysis_key_table.Rd

Helper function to turn a analysis_key to a table. It will return a dataframe with analysis_var_x, analysis_var_value_x, group_var_x, group_var_value_x, nb_analysis_var, nb_group_var:

  • Where YY_var_x are the variable names for the dependent and independent variables.

  • Where YY_var_value_x are the values for the dependent and independent variables.

  • Where x is the number of the variable by order of grouping.

  • nb_xx is the number of variable used in the grouping.

Usage

create_analysis_key_table(results_table, analysis_key_column = "analysis_key")

Arguments

results_table

result object with an analysis key

analysis_key_column

character vector with the name of the analysis key column. Default is "analysis key"

Value

a dataframe with the analysis key and analysis_var_x, analysis_var_value_x, group_var_x, group_var_value_x, nb_analysis_var and nb_group_var

Examples

create_analysis_key_table(analysistools_MSNA_template_with_ratio_results_table$results_table)
#> # A tibble: 147 × 10
#>    analysis_key analysis_type analysis_var_1 analysis_var_value_1 analysis_var_2
#>    <chr>        <chr>         <chr>          <chr>                <chr>         
#>  1 prop_select… prop_select_… admin1         admin1a              NA            
#>  2 prop_select… prop_select_… admin1         admin1b              NA            
#>  3 prop_select… prop_select_… admin1         admin1c              NA            
#>  4 mean @/@ in… mean          income_v1_sal… NA                   NA            
#>  5 median @/@ … median        income_v1_sal… NA                   NA            
#>  6 mean @/@ ex… mean          expenditure_d… NA                   NA            
#>  7 median @/@ … median        expenditure_d… NA                   NA            
#>  8 ratio @/@ i… ratio         income_v1_sal… NA                   expenditure_d…
#>  9 prop_select… prop_select_… wash_drinking… borehole_tubewell    NA            
#> 10 prop_select… prop_select_… wash_drinking… bottled_water        NA            
#> # ℹ 137 more rows
#> # ℹ 5 more variables: analysis_var_value_2 <chr>, group_var_1 <chr>,
#> #   group_var_value_1 <chr>, nb_analysis_var <dbl>, nb_group_var <dbl>