R

Any people here that have experience with R?

Here's mah code:

http://pastebin.com/Ve6qQ6tE

Basically, it's a bunch of points on a graph with x,y and we take the assumption that they behave linearly (Linear regression). The code for the line is

gerade <- lm(i[-16]~u[-16]) # i hängt linear von u ab, ignoriert letzten Messwert, da er zu stark abweicht
abline(gerade) # Zeichnet Ausgleichsgerade

If the equation for the linear function is y=mx+q. What do I tell R so that it calculates both m and q for me?

Thanks.


sm <- summary(gerade)
sm$coef[...]
where ... will be position of the coefficient you want in summary table.

You better come up with a better reason to exclude observation 16 than that it deviates to far from a linear model.

The probability of X is 50%, either it happens or it doesn't!