Great work overall! But still need some small changes to make it better.

I don't know what this part is doing, I assume you want to returns a matrix of p-values, but I don't think you need p-values in a matrix table. Cause I can tell from your plot, If p < .05, it show the correlation, but If p > .05, it won't show anything.

If your goal is to evaluate the relationships between all variables, it may be more informative to display the full correlation matrix without masking non-significant values. In that case, you can remove the significance filter so the plot shows every correlation.

resize the number that shows on the plot

figure 14.

figure 13. explain a little what you plot shows

figure 12. explain a little what you plot shows

if you want, you can add another layer "geom_jitter()", adds a small amount of random variation to the location of each point, so we can clearly visualizes data density.

(But maybe ask Dr.Shane before you add this)

Figure 11. explain a little what you plot shows

Figure 10. And explain a little what you plot shows

Figure 9

Figure 8.

same here, and this should be Figure 7.

same here

same here

same here

same here

same here

same here, explain the meaning of this diagram and what the differences are before and after the intervention.

Please explain the meaning of this diagram and what the differences are before and after the intervention.

add one or two sentence to explain this alpha results, something like: "PREZEROSUM scale has borderline internal consistency, and the POSTZEROSUM scale has weak internal consistency, meaning the items may not be measuring the construct reliably."

What is ALIGN, add one sentence to explain a little bit

same here use #| warning: false

same here use #| warning: false

use #| warning: false to force the chunk not showing the warning message.

What is DEI, add one sentence to explain a little bit

Same here, Transform should be in the results section, so double ##Trandform

Import should be in the results section, so double ##Import

Discussion section should be at the end of the report

Also here.

Did we forget to add something here?

Adding title name for each of the plot, rename the x-axis and y-axis, so make it clearly for the readers

move this up and write this in the source mode, so the heading will appear, not as ##

That's also the IMPORT section

Great Work!

Instead of calling "Model" for this section, using the test name as your heading. Like "Linear Regression"

You already called Figure 1 for your first histogram, so for here it should be Figure 3

Same here, Add title name for each of the plot, rename the x-axis and y-axis, so make it clearly for the readers

Maybe change the figure caption, instead of saying "Two histograms....", explain each by each, and try to make them different. And figure number like" Figure 1. " before each caption

Make this part in text not comment, and make sure include discussions section at the end.

Including some headings, like "#Results", "##IMPORT", "##TRANSFORM", "##Shapiro-Wilk Normality Test", "#Discussion"

I have check the survey you did, and is already in the correct order strongly disagree(1), disagree(2), ......, strongly agree(6).

And you recode the strongly disagreee(1) to strongly disagreee(6). So the order is reverse.

So the correct code is only recode -50 and -99 to NA is fine, and keep everything else as the orginal form.

Maybe write one sentence for each of the tests, talk about which of the variable you use and explain your p-value, by saying whether is significiant or not.

the result is different from what I have in the posit cloud.