Turn an ENIGH data set into a survey design. Passes the data set to survey::svydesign().
Useful fore creating analyses with gtsummary::tbl_svysummary().
Arguments
- data
A data set from the ENIGH survey. It is important that the data set includes the following variables:
est_disandfactor.est_disis the strata variable andfactoris the weight variable.
Examples
poblacion2022 |>
as_survey() |>
gtsummary::tbl_svysummary(include = c(nivelaprob))
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#> <thead>
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#> <th class="gt_col_heading gt_columns_bottom_border gt_left" rowspan="1" colspan="1" scope="col" id="<strong>Characteristic</strong>"><strong>Characteristic</strong></th>
#> <th class="gt_col_heading gt_columns_bottom_border gt_center" rowspan="1" colspan="1" scope="col" id="<strong>N = 128,999,038</strong><span class="gt_footnote_marks" style="white-space:nowrap;font-style:italic;font-weight:normal;"><sup>1</sup></span>"><strong>N = 128,999,038</strong><span class="gt_footnote_marks" style="white-space:nowrap;font-style:italic;font-weight:normal;"><sup>1</sup></span></th>
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#> <tbody class="gt_table_body">
#> <tr><td headers="label" class="gt_row gt_left">Nivel de instrucción aprobado</td>
#> <td headers="stat_0" class="gt_row gt_center"><br /></td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> Ninguno</td>
#> <td headers="stat_0" class="gt_row gt_center">6,943,541 (5.6%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> Preescolar</td>
#> <td headers="stat_0" class="gt_row gt_center">5,325,465 (4.3%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> Primaria</td>
#> <td headers="stat_0" class="gt_row gt_center">34,697,960 (28%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> Secundaria</td>
#> <td headers="stat_0" class="gt_row gt_center">31,635,156 (25%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> Preparatoria o bachillerato</td>
#> <td headers="stat_0" class="gt_row gt_center">22,316,333 (18%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> Normal</td>
#> <td headers="stat_0" class="gt_row gt_center">592,079 (0.5%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> Carrera técnica o comercial</td>
#> <td headers="stat_0" class="gt_row gt_center">3,463,463 (2.8%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> Profesional</td>
#> <td headers="stat_0" class="gt_row gt_center">17,892,977 (14%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> Maestría</td>
#> <td headers="stat_0" class="gt_row gt_center">1,362,989 (1.1%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> Doctorado</td>
#> <td headers="stat_0" class="gt_row gt_center">330,808 (0.3%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> Unknown</td>
#> <td headers="stat_0" class="gt_row gt_center">4,438,267</td></tr>
#> </tbody>
#>
#> <tfoot class="gt_footnotes">
#> <tr>
#> <td class="gt_footnote" colspan="2"><span class="gt_footnote_marks" style="white-space:nowrap;font-style:italic;font-weight:normal;"><sup>1</sup></span> n (%)</td>
#> </tr>
#> </tfoot>
#> </table>
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