anova

..Hello,

..I'm learning R and Business Statistics at the same time.
..I'm pretty new to R.
..I'm trying to perform ANOVA.

..I have 3 samples from 3 populations for anova.
..So, I decided to perform anova by doing the following:

        a <- (85,75,82,76,71,85)
        b <- (71,75,73,74,69,82)
        c <- (59,64,62,69,75,67)

1. You'll need c() to make this work.
2. That's not a nice solution, because "c" is already the name of a very
basic function (that one you have to use here).

What you mean is, e.g.:

   a1 <- c(85, 75, 82, 76, 71, 85)
         ^
   a2 <- c(71, 75, 73, 74, 69, 82) 
         ^
   a3 <- c(59, 64, 62, 69, 75, 67)
   ^^    ^

..Then,

        print.anova(a,b,c)

Stop! From the help:

1. "Usage: anova(object, ...)" 
2. "Arguments:  *object*  an object containing the results returned by a
model fitting function (e.g. lm or glm). "

..I got:

"Error in print.anova(a, b, c) : anova object must have colnames(.)!"

..Then,
        I tried to create colnames, but probably I didn't understand how to do it properly...And I guess my 'approach' to performing ANOVA in R was definitely wrong too.....

..Please, help me with ANOVA. I suspect, it's not that difficult...but still can't figure out how to do it.
..Thanks in advance.

So a *sample* session:

   a1 <- c(85, 75, 82, 76, 71, 85)
   a2 <- c(71, 75, 73, 74, 69, 82) 
   a3 <- c(59, 64, 62, 69, 75, 67)
   my.obj <- lm(a1 ~ a2 + a3)
   anova(my.obj)


Hope this helps.

Uwe Ligges
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