15d-6wz3-cqa
1zc-xnwa-eyy
31t-t639-tfe
dr3-d98s-kzw
nns-ict4-tbm

upfrog for insta friendzone

？

classic european biased referee

fuck fernandinho though, lixo do caralho

holy shit I cringe so hard at this thread

México fanshits? SoBayed

hey guys back there in 2012 I also used to bash on weebs but what goes around comes around lol
Nowdays the only reason why people insist to hate on things that doesn't even affect their lives is either they are really
insecure about it or they are constantly getting discord invites to degenerate servers

http://i0.kym-cdn.com/entries/icons/mobile/000/023/397/C-658VsXoAo3ovC.jpg

and even if you control the experiment the way I suggested you can still come across with problems like low n numbers and excluding variables that are having an effect on the observed phenomena.

well, my honest opinion
I don't think you'll get any relevant results from this. R is not a program where you throw numbers in there and wait for magical results to appear, you probably already know this. It's just a tool where we test statistical hypotheses. First of all, we need a question to work on. We then need to thoroughly delineate how we will gather the data. An online survey is just too vague. A good approach that you could do is to pick a set number of players that considers themselves "depressed" and a control group with "mentally stable" players. You could even make it into three classes adding a group of players diagnosed with depression. You replicate it in all leagues so you don't end up with a region bias. You can even go further and rather using "the idea of how a player thinks of themselves" you can use the actual division that the player is currently playing. By doing this I think you can control your experiment much better. Regarding statistical analysis, you should first get a good grasp of the profile of your data so you can run the most appropriate tests. Finally, if you do manage to get any results I don't think the average tftv user will be able to interpret the numbers at all.
But don't let yourself get down if everything fails, a good way to actually learn data science is to get destroyed by failed experiments.

nah i'm just another R enthusiast

what are your hypotheses? How do you intend to analyze this data? Regarding tests etc

hehehehhe

ALRIGHT this is Epic.

lmaooooo

nice referees fifa