Indeed, that does it. Odd. I guess as Slip was a number, it needed to
be categorized. Interesting...
Not if only I can figure out how to get the TukeyHSD grouping table
On Oct 26, 2005, at 7:35 PM, Mark Lyman wrote:
> Looking at the errors your code produces, it looks like you need to
>
Looking at the errors your code produces, it looks like you need to make
Dock and Slip factors.
dock_2004_data$Dockf<-factor(dock_2004_data$Dock)
dock_2004_data$Slipf<-factor(dock_2004_data$Slip)
rich.aov <- aov(X.open ~ Dockf*Slipf, data=dock_2004_data)
TukeyHSD(rich.aov, c("Dockf", "Slipf"))
Indeed, the following works as well
On Oct 26, 2005, at 5:23 PM, P Ehlers wrote:
> fm1 <- aov(breaks ~ wool*tension, data = warpbreaks)
> TukeyHSD(fm1, c("wool","tension", "wool:tension"))
However, when working with my own dataset, I get the following errors.
I have some inkling this may be d
Jarrett Byrnes wrote:
> Quick question, as I attempt to learn R. For post-hoc tests
>
> 1) Is there an easy function that will take, say the results of
> tukeyHSD and create a grouping table. e.g., if I have treatments 1, 2,
> and 3, with 1 and 2 being statistically the same and 3 being diff
Quick question, as I attempt to learn R. For post-hoc tests
1) Is there an easy function that will take, say the results of
tukeyHSD and create a grouping table. e.g., if I have treatments 1, 2,
and 3, with 1 and 2 being statistically the same and 3 being different
from both
Group Treatmen
