Timeline for How to test whether variance explained by first factor of PCA differs across repeated measures conditions?
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Feb 7, 2015 at 15:16 | history | edited | amoeba | CC BY-SA 3.0 |
clarified shuffling
|
| Feb 6, 2015 at 23:46 | comment | added | amoeba | @Jeromy, you are absolutely right about the confidence interval on the difference. In fact, I had the bootstrapping part written in my answer all this time, until I edited it out yesterday when reviewing this thread. As you mentioned it now, I have returned the bootstrapping back in right now (and also reformatted the answer a bit). Take a look. | |
| Feb 6, 2015 at 23:46 | history | edited | amoeba | CC BY-SA 3.0 |
edited the bootstrapping bit back in
|
| Feb 6, 2015 at 23:38 | comment | added | Jeromy Anglim | The permutation test seems like a reasonable way of testing the null hypothesis. My default would probably be to try a bootstrapping approach instead where you sample with replacement. I think the benefit of a bootstrapping approach would be that you'd also get a confidence interval on the size of the difference between the two variances. My sense is that you wouldn't get that with the permutation approach. | |
| Feb 5, 2015 at 16:22 | history | edited | amoeba | CC BY-SA 3.0 |
shortened the answer by removing less necessary parts
|
| Aug 7, 2014 at 9:25 | history | answered | amoeba | CC BY-SA 3.0 |