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Includes table 1, grotta bars and ordinal logistic regression plot. Please just use this function for illustration purposes. To dos: modify grottaBar and include as own function.

Usage

generic_stroke(df, group, score, strata = NULL, variables = NULL)

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

Value

Returns list with three elements

Examples

generic_stroke(df = stRoke::talos, group = "rtreat", score = "mrs_6", 
variables = c("hypertension","diabetes","civil"))
#> Waiting for profiling to be done...
#> $`Table 1`
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#> </style>
#>   <table class="gt_table">
#>   
#>   <thead class="gt_col_headings">
#>     <tr>
#>       <th class="gt_col_heading gt_columns_bottom_border gt_left" rowspan="1" colspan="1" scope="col" id="&lt;strong&gt;Characteristic&lt;/strong&gt;"><strong>Characteristic</strong></th>
#>       <th class="gt_col_heading gt_columns_bottom_border gt_center" rowspan="1" colspan="1" scope="col" id="&lt;strong&gt;Overall&lt;/strong&gt;, N = 200&lt;sup class=&quot;gt_footnote_marks&quot;&gt;1&lt;/sup&gt;"><strong>Overall</strong>, N = 200<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" id="&lt;strong&gt;Active&lt;/strong&gt;, N = 79&lt;sup class=&quot;gt_footnote_marks&quot;&gt;1&lt;/sup&gt;"><strong>Active</strong>, N = 79<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" id="&lt;strong&gt;Placebo&lt;/strong&gt;, N = 121&lt;sup class=&quot;gt_footnote_marks&quot;&gt;1&lt;/sup&gt;"><strong>Placebo</strong>, N = 121<sup class="gt_footnote_marks">1</sup></th>
#>     </tr>
#>   </thead>
#>   <tbody class="gt_table_body">
#>     <tr><td headers="label" class="gt_row gt_left">hypertension</td>
#> <td headers="stat_0" class="gt_row gt_center">101 (50%)</td>
#> <td headers="stat_1" class="gt_row gt_center">38 (48%)</td>
#> <td headers="stat_2" class="gt_row gt_center">63 (52%)</td></tr>
#>     <tr><td headers="label" class="gt_row gt_left">diabetes</td>
#> <td headers="stat_0" class="gt_row gt_center">23 (12%)</td>
#> <td headers="stat_1" class="gt_row gt_center">9 (11%)</td>
#> <td headers="stat_2" class="gt_row gt_center">14 (12%)</td></tr>
#>     <tr><td headers="label" class="gt_row gt_left">civil</td>
#> <td headers="stat_0" class="gt_row gt_center"></td>
#> <td headers="stat_1" class="gt_row gt_center"></td>
#> <td headers="stat_2" class="gt_row gt_center"></td></tr>
#>     <tr><td headers="label" class="gt_row gt_left">    alone</td>
#> <td headers="stat_0" class="gt_row gt_center">59 (30%)</td>
#> <td headers="stat_1" class="gt_row gt_center">22 (28%)</td>
#> <td headers="stat_2" class="gt_row gt_center">37 (31%)</td></tr>
#>     <tr><td headers="label" class="gt_row gt_left">    partner</td>
#> <td headers="stat_0" class="gt_row gt_center">141 (70%)</td>
#> <td headers="stat_1" class="gt_row gt_center">57 (72%)</td>
#> <td headers="stat_2" class="gt_row gt_center">84 (69%)</td></tr>
#>   </tbody>
#>   
#>   <tfoot class="gt_footnotes">
#>     <tr>
#>       <td class="gt_footnote" colspan="4"><sup class="gt_footnote_marks">1</sup> n (%)</td>
#>     </tr>
#>   </tfoot>
#> </table>
#> </div>
#> 
#> $`Figure 1`

#> 
#> $`Figure 2`

#>