> > xtabs(~V1+V2+V3, df) # There are 9 cells with 0 entries. That is the
> > problem.
>
> , , V3 = 9
>
> V2
> V1 8 16 24
> 200 5 0 5
> 350 5 5 0
> 500 0 5 5
thanks for the insight
yah
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R-h
thanks for the replies.
i don't believe the data is the problem. here you see how i used 3 variables
and it fails,
but when i use any combination of 2 variables, it does work
> head(df)
V1 V2 V3 V4 V5 V6 V7
1 200 16 16 3 64 5.584092e+13 1.616745e+12
2 200 16 16 3 64 5.58
Hello,
I was wondering if there are other packages like MANOVA.RM that could be used
to analysis non normal distributions. I have to analyze data with more than 2
predictor variables and a similar number of response variables. When I try the
function MANOVA.wide with more than 2 predictor varia
On March 12, 2018 11:59 PM, Richard M. Heiberger wrote:
> It looks like your V3 is a factor.
>
> testing_ggplot <- data.frame(
>
> V1=factor(c(256, 256, 256, 272, 272, 272)),
>
> V2=c("Disabled", "Disabled", "Enabled", "Disabled", "Enabled", "Enabled"),
>
> V3=681:686)
>
thanks for the exp
Hi,
I was wondering if someone could give me a hint or two. I'm having problems
generating ggplot2 boxplots . The plot that is has dots but no boxplots. Below
is the dataset
> testing_ggplot
V1V2 V3
1 256 Disabled 688.61
2 256 Disabled 698.63
3 256 Disabled 700.02
4 256
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