Generic stroke study outcome
generic_stroke.RdIncludes table 1, grotta bars and ordinal logistic regression plot. Please just use this function for illustration purposes. To dos:
Arguments
- df
Data set as data frame
- group
Variable to group by
- score
Outcome measure variable
- strata
Optional variable to stratify by
- variables
String of variable names to include in adjusted OLR-analysis
Examples
iris$ord<-factor(sample(1:3,size=nrow(iris),replace=TRUE),ordered=TRUE)
generic_stroke(df=iris, group = "Species", score = "ord", variables = colnames(iris)[1:3])
#> Waiting for profiling to be done...
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#> <thead class="gt_col_headings">
#> <tr>
#> <th class="gt_col_heading gt_columns_bottom_border gt_left" rowspan="1" colspan="1" scope="col"><strong>Characteristic</strong></th>
#> <th class="gt_col_heading gt_columns_bottom_border gt_center" rowspan="1" colspan="1" scope="col"><strong>Overall</strong>, N = 150<sup class="gt_footnote_marks">1</sup></th>
#> <th class="gt_col_heading gt_columns_bottom_border gt_center" rowspan="1" colspan="1" scope="col"><strong>setosa</strong>, N = 50<sup class="gt_footnote_marks">1</sup></th>
#> <th class="gt_col_heading gt_columns_bottom_border gt_center" rowspan="1" colspan="1" scope="col"><strong>versicolor</strong>, N = 50<sup class="gt_footnote_marks">1</sup></th>
#> <th class="gt_col_heading gt_columns_bottom_border gt_center" rowspan="1" colspan="1" scope="col"><strong>virginica</strong>, N = 50<sup class="gt_footnote_marks">1</sup></th>
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#> <tbody class="gt_table_body">
#> <tr><td class="gt_row gt_left">Sepal.Length</td>
#> <td class="gt_row gt_center">5.80 (5.10, 6.40)</td>
#> <td class="gt_row gt_center">5.00 (4.80, 5.20)</td>
#> <td class="gt_row gt_center">5.90 (5.60, 6.30)</td>
#> <td class="gt_row gt_center">6.50 (6.23, 6.90)</td></tr>
#> <tr><td class="gt_row gt_left">Sepal.Width</td>
#> <td class="gt_row gt_center">3.00 (2.80, 3.30)</td>
#> <td class="gt_row gt_center">3.40 (3.20, 3.68)</td>
#> <td class="gt_row gt_center">2.80 (2.53, 3.00)</td>
#> <td class="gt_row gt_center">3.00 (2.80, 3.18)</td></tr>
#> <tr><td class="gt_row gt_left">Petal.Length</td>
#> <td class="gt_row gt_center">4.35 (1.60, 5.10)</td>
#> <td class="gt_row gt_center">1.50 (1.40, 1.58)</td>
#> <td class="gt_row gt_center">4.35 (4.00, 4.60)</td>
#> <td class="gt_row gt_center">5.55 (5.10, 5.88)</td></tr>
#> </tbody>
#>
#> <tfoot class="gt_footnotes">
#> <tr>
#> <td class="gt_footnote" colspan="5"><sup class="gt_footnote_marks">1</sup> Median (IQR)</td>
#> </tr>
#> </tfoot>
#> </table>
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#>
#> $`Figure 1`
#>
#> $`Figure 2`
#>