[R] ggplot and boxplots

2018-03-12 Thread Yectli Huerta via R-help
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

Re: [R] ggplot and boxplots

2018-03-13 Thread Yectli Huerta via R-help
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) >

Re: [R] semiparametric manova

2018-11-12 Thread Yectli Huerta via R-help
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

Re: [R] semiparametric manova

2018-11-13 Thread Yectli Huerta via R-help
> > 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 signature.asc Description: OpenPGP digital signature __

[R] semiparametric manova

2018-11-12 Thread Yectli Huerta via R-help
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