# Search results

1. ### Multiple regression case?

Like instead of a column that has Feat1 that displays a1, a1, a3, a2, etc... you have columns for a1 which takes a value of 1 if feat1 was a1 in that row and 0 otherwise, a column for a2 which takes a value of 1 if feat1 was a2 in that row and 0 otherwise. So the columns a1, a2, a3, a4, a5 will...
2. ### Multiple regression case?

You could just set up indicators essentially. So your "model" (really you don't need a statistical model if everything is exact but it doesn't hurt to think of it this way). \beta_{a1}a1 + \beta_{a2}a2 + \ldots + \beta_{b1}b1 + \ldots + \beta_{f4}f4 = FINAL - INITIAL If things really are...
3. ### Multiple regression case?

So are you saying FINAL = INITIAL + Feat1 + Feat2 + Feat3 + Feat4 + Feat6 (is there any error involved in this at all or will the equality always hold?) and also Feat1 = a1 + a2 + a3 + a4 + a5 Feat2 = b1 + b2 + b3 + b4 + b5 (maybe + b6 or something - you don't specify if there are the same #...
4. ### testing the association between points and any of the points belonging to another set of point: am I approaching it correctly?

I'm not exactly sure how you're using the results from the binomial distribution here. But you're able to calculate observed number of points and expected number of points based on the area percentages. If your question basically is if the observed points have the same distribution into...
5. ### Drawing balls without replacement

Perfect. And that will give the same answer as the "correct" answer after reducing.

7. ### Drawing balls without replacement

Hint: should you be really be *adding* here
8. ### Drawing balls without replacement

Can you explain your logic. Because I think you have one misunderstanding that when corrected would let you use your logic to get the right answer.
9. ### function trows an error at first, but runs smoothly after being copy/pasted

Is it not already on github? https://github.com/gianmarcoalberti/GmAMisc But really it's hard to diagnose anything without *any* code (especially without the code that is producing the error). So providing some example of what you're running into can only make it easier to diagnose.

11. ### making R computing large factorials

Yeah you want pbinom.

Yes
13. ### making R computing large factorials

And q is just 1-p? Why not just use dbinom?
14. ### Software for Simple Linear Regression

Fixed that for you
15. ### What podcasts do you enjoy or listen to?

I like Bill's stuff in general but I never have been able to get into his podcast.
16. ### Minimise chance of making type 1 error, without reducing alpha?

In general - no.
17. ### Comparing correlated data

Technically the model doesn't even have an assumption of no prefect collinearity. It's perfectly possible to fit models like that. The estimates won't be unique but the model itself doesn't make an assumption about that.
18. ### Comparing correlated data

It isn't an assumption though. And although it impacts tests for individual coefficients it doesn't change predictions. They aren't saying that there aren't reasons one may care about it but it being an actual assumption in the model is incorrect. I think you missed the point? 'beta' a lot of...
19. ### Which statistical test to use for binary data?

I'm still not clear what your question actually is. "What test can I do" isn't really a question. What is a question about your data that you want answered? Is it what threshold should be used? If so it kind of seems like you're just looking for a simple heuristic. Are you looking to test if...
20. ### Guide Tutorial DEAP 2.1 In Windows 7

I want to burn the desktop in the video preview thumbnail.