2,575 reputation
725
bio website biomath.ugent.be/biomath/…
location Ghent, Belgium
age 36
visits member for 2 years, 9 months
seen May 27 at 15:47
stats profile views 310

Statistician and R programmer at the faculty of Bio-Engineering, university of Ghent

Co-author of 'R for Dummies' (out in july 2012 )

contact : Joris - dot - Meys - at - Ugent - dot - be


Mar
19
comment Is normality testing 'essentially useless'?
@maximus with the function qqnormin R
Mar
12
awarded  Popular Question
Feb
26
awarded  Enlightened
Feb
26
awarded  Nice Answer
Feb
22
comment Use coefficients of thin plate regression splines in a clustering method
A very belated thank you!
Dec
12
comment Comparison of before and after ordinal data across two groups
I don't agree on the test on the median. We're talking an ordinal scale here, and all tests on "median" are actually tests on location shift, which require distributions with the same shape. In an ordinal context, this is a rather dangerous assumption.
Nov
28
awarded  Guru
Oct
8
comment Non negative lasso implementation in R
Sorry for closing your question, but it is better asked and answered at www.crossvalidated.com I flagged the question for migration, so the mods will take care of it shortly. This said, please make your question clear and explain exactly what you want. The lasso expert in our research group couldn't possibly figure out what you were aiming at...
Aug
31
awarded  Yearling
Aug
10
awarded  Nice Answer
Aug
1
awarded  Popular Question
Jul
29
comment Meta analysis on studies with 0-frequency cells
Common solutions are not always correct solutions.
Jul
11
comment Expected value of small sample
@Néstor reformulate as 'the probability that the 95% confidence interval contains the true value', which is, all assumptions taken into account and defining probability as the 'relative frequency of occurrence' or 'propensity', 0.95. Don't forget as well that probability is defined differently in frequentist and bayesian theories. BTW, I've read the whole discussion, but if I remember correctly it was you who brought the arguments given there to this discussion...
Jul
10
comment Expected value of small sample
@Néstor I've had this semantic discussion a hundred times over, mostly with bayesians. As long as you don't know the true value, you have a probability. Once you know it, the CI renders itself useless. As long as the winning numbers of the lottery aren't known, you can talk about your chance to win the lottery. Once you know the winning numbers, you either won or you didn't. So as long as you can't tell me for sure whether or not the true value is contained in my calculated CI, I can only talk about the probability that it's in that calculated CI. YMMV.
Jul
10
revised Expected value of small sample
added 170 characters in body
Jul
10
comment Expected value of small sample
@Néstor As in: Do this 10,000 times and 95% of the confidence intervals you construct, will contain the true expected value. And since you don't know which of these CI you have, you have a probability of 95% that your confidence interval contains the true value. Delete the expected, that's a typo.
Jun
14
comment How to determine the effect size of a Wilcoxon rank-sum test in R?
Welcome to SO. I flagged your question for migration to www.crossvalidated.com , as your question is more statistical than anything else. In short : Wilcoxon RANK test works with ranks, so I'm not sure about which effect size you're talking. Obviously it doesn't give you a z value, as that one is linked to parametric testing, not to non-parametric tests like Wilcoxon. Wilcoxon has to be interpreted in terms of location shift.
Jun
13
revised How do we create a confidence interval for the parameter of a permutation test?
edited body
Jun
13
comment How do we create a confidence interval for the parameter of a permutation test?
@Kevin : Code was darn right. Read the code again: the x[6:11] refers to the argument x of the anonymous function within the apply. Confusing maybe, but your edit gave very wrong results. Please comment about what you think it should be before editing the code. Saves me a rollback. To avoid further confusion, I changed that x to i
Jun
13
revised How do we create a confidence interval for the parameter of a permutation test?
rolled back to a previous revision