R (programming language)
Retrieved 14 April Archived from the original on 16 October A statistical number that ranks the tipsters and defines their Tipster Category. However, beta causes an error.
Home Questions Tags Users Unanswered. Fitting Distribution for data in R Ask Question. May I directly said that xx variable is normally distributed N How can I compare the distributions better or not?
Is there alternative way to have these informations? Because it is going to be repeated 18 times. Why is it necessary to identify a distribution?
What are you using this to do? Why consider only those particular distributions and not others? Your data look to be distinctly discrete. Have they been binned?
What do the numbers represent? I wanted to analyze normal, uniform and gama, since obersvation is close to them. I do not know exactly how can I find a distribution of raw data. That's why I may be looked as lost. Should I follow the code of following link? You don't explain how your data come to be discrete yet somehow not integer ; this discreteness may be an issue for all of your above choices.
So, is your objective predictive capability? The info you get here is just that in the presence of "psa" the other 2 variables don't have a major influence.
I am interested in what influences the response variable actually. I suppose in this case it is only psa, right? In this case -and I mean this combination of variables- that's the main insight you get. However, each of those variables separately might influence your response variable. Is that something you want to know? Are you interested in interactions maybe?
Jobs im Devisenhandel in Dubai | Gewichtsbereiche Gewicht Beobachter | Wie finden Sie Ihren Mugshot online? | Wachstumsrate des Indexfonds | Stark verkürzte Aktien kaufen | Die Hypothekenzinsen steigen heute | Britische Pfund in australische Dollar | Wechselkurse Euro in us-Dollar |