Summary table for comparative analysis between two numeric variables
stat_two_num.Rd
Create a summary table with t.test: statistic, p-value and IC(95%).
Arguments
- df
A single data.frame
- grp_var
A character variable from a data.frame
- num_vars
One or more variables from a data.frame
Examples
n <- 20
set.seed(123);df <-
data.frame(
grp_var = sample(paste("group", letters[1:2]),size = n,replace = TRUE),
num_var1 = rnorm(n),
num_var2 = abs(rnorm(n))
)
stat_two_num(df,grp_var,c(num_var1,num_var2))
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#> <th class="gt_col_heading gt_columns_bottom_border gt_center" rowspan="1" colspan="1" scope="col" id="Variables">Variables</th>
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#> <tr><td headers="name" class="gt_row gt_center">num_var1<span class="gt_footnote_marks" style="white-space:nowrap;font-style:italic;font-weight:normal;"><sup>1</sup></span></td>
#> <td headers="group a n = 11" class="gt_row gt_center">-0.04 (0.95)</td>
#> <td headers="group b n = 9" class="gt_row gt_center">-0.19 (1.14)</td>
#> <td headers="statistic" class="gt_row gt_center">0.297</td>
#> <td headers="p_value" class="gt_row gt_center">0.7705</td>
#> <td headers="IC" class="gt_row gt_center">(-0.868; 1.151)</td></tr>
#> <tr><td headers="name" class="gt_row gt_center">num_var2<span class="gt_footnote_marks" style="white-space:nowrap;font-style:italic;font-weight:normal;"><sup>2</sup></span></td>
#> <td headers="group a n = 11" class="gt_row gt_center">0.47 (0.52)</td>
#> <td headers="group b n = 9" class="gt_row gt_center">0.69 (0.48)</td>
#> <td headers="statistic" class="gt_row gt_center">48.000</td>
#> <td headers="p_value" class="gt_row gt_center">0.9408</td>
#> <td headers="IC" class="gt_row gt_center">(-0.411; 0.405)</td></tr>
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#>
#> <tfoot class="gt_footnotes">
#> <tr>
#> <td class="gt_footnote" colspan="6"><span class="gt_footnote_marks" style="white-space:nowrap;font-style:italic;font-weight:normal;"><sup>1</sup></span> Mean (SD) - Student's t-test</td>
#> </tr>
#> <tr>
#> <td class="gt_footnote" colspan="6"><span class="gt_footnote_marks" style="white-space:nowrap;font-style:italic;font-weight:normal;"><sup>2</sup></span> Median (IQR) - Wilcoxon test</td>
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