Timeline for ANOVA Best test for correlation with large data set and many independent variables?
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| May 28, 2014 at 3:32 | comment | added | serakfalcon | It's a card game, Dominion. Players start with a generic deck, and have the choice to purchase cards to make their deck more powerful, and eventually buy cards that give points. There are over 200 cards with different abilities/synergies/antisynergies, however in any one game 10 cards are chosen at random to be available for purchase. Obviously, some cards are better than others and contribute more to winning, but I'd like to have an objective, statistical way of knowing which ones are better. | |
| May 27, 2014 at 20:03 | comment | added | Joel W. | I do not understand what you mean by "factor" and "game" so it is hard for me to comment further. Can you give some examples of factors and games? (Perhaps use hypothetical examples if you consider the information to be confidential.) | |
| May 27, 2014 at 17:53 | vote | accept | serakfalcon | ||
| May 28, 2014 at 19:58 | |||||
| May 27, 2014 at 17:53 | comment | added | serakfalcon | OK logistic regression looks like what I'll go with then. The issue with the factors is this: a limited set of them is picked randomly before the start of the game, so ideally each factor will show up more or less equally over a large enough number of games. There are about 200 factors, so with 200C10 being rather large, it makes analysis by type impractical. | |
| May 27, 2014 at 17:29 | history | answered | Joel W. | CC BY-SA 3.0 |