41,470 reputation
1394177
bio website en.wikipedia.org/wiki/…
location Kingdom of Zhao
age 94
visits member for 3 years, 1 month
seen 22 mins ago

In the golden age of ancient Chinese philosophy, Gung-sun Lung Tsu was the one of the only thinkers, and certainly the most important, to discuss topics pertaining to logic and epistemology.


41m
reviewed Approve Hayashi yoshida estimator for correlation not coming between -1 to 1
59m
reviewed Close how to generate correlated random number series? non-gaussian, empirical distributions
1h
reviewed Leave Closed Applied statistics vs Mathematical statistics
4h
reviewed No Action Needed Hayashi yoshida estimator for correlation not coming between -1 to 1
5h
answered R function equal to excel CHIINV
5h
reviewed Reviewed R function equal to excel CHIINV
6h
reviewed Approve What statistical test to use to examine attitude and which components have strong/weak influnces on attitude? 4-point Likert Scale survey
8h
reviewed Close variable reduction
8h
reviewed No Action Needed Matrix Inversion Error
11h
reviewed Reviewed How to determine significance of polynomial?
11h
reviewed Reviewed Stata 13 - Errors simulating confidence intervals when indexing on cut points
11h
reviewed Close What type of post hoc test does a LME use by default?
11h
comment What type of post hoc test does a LME use by default?
You would need to specify the package & code as well. Linear mixed effects models (I assume that's what you mean by "LME", but you should spell out the acronyms you use) can be fit in nlme & lme4, at a minimum. So far as I know, neither automatically includes post-hoc tests. You should state where you heard that. At any rate, what R does by default is a good question for the r-help listservs (there is a mixed models specific one), but is off-topic for CV.
15h
reviewed Reviewed Variance of two correlated variables
15h
comment Place balls in bins with specific distributions algorithm
Your distributions don't make much sense. If the total number of balls is fixed, then the number in a given bucket is a count out of that total & must be binomial (or some generalization), & the distribution across the buckets must be multinomial (or some generalization). At any rate, if you want to achieve those values w/ 30 balls, it is easy to do because you have 30 balls in the buckets this way.
15h
reviewed Leave Closed Place balls in bins with specific distributions algorithm
15h
reviewed No Action Needed Lack of fit and Pure error
16h
reviewed Reviewed Place balls in bins with specific distributions algorithm
16h
comment Place balls in bins with specific distributions algorithm
I don't quite understand your question. You have 30 balls, & you want the 30 balls distributed in exactly a certain way. This seems completely doable. There is nothing random here that I can see. You could fill the buckets in any order and achieve your preferred result.
17h
reviewed Close What is a good mouse cursor to point at objects in diagrams?