The report would be made more powerful if we allowed the text of the report to adapt to the findings of the data. An example of what this would like is converting this paragraph:
The gap.test output shows us that the top 3 gaps, in terms of effect size, are
for 3rd, 4th, and 5th grade math scores between gender groups. The effect sizes
are negative, and the labeling on the graph shows us the effect size was
calculated with the average score for male "M" students subtracted from the
average score for female "F" students. Thus, on average, the male students
scored higher than female students. In our dataset, these gaps were wider than
any other gap based in racial differences, socioeconomic differences,
differences in English proficiency status, or differences in special education
status.
To adapt to the actual results of the gap.testfunction by taking its outputs as arguments to generate the text. This can be done by calling variables inline in Rmd.
The `gap.test` output shows us that the top 3 gaps, in terms of effect size, are
for `r gap_test_results$outcome[1]` results in `r gap_test_results$grade` grades ...
The report would be made more powerful if we allowed the text of the report to adapt to the findings of the data. An example of what this would like is converting this paragraph:
To adapt to the actual results of the
gap.testfunction by taking its outputs as arguments to generate the text. This can be done by calling variables inline in Rmd.