Hello Ista,
I would like to thank you for your reply!
Your code is indeed an improvement.
This is my code now and there are two things still missing.
DataToPlot<-matrix(data=runif(9),nrow=3,dimnames=list(seq(1,3),seq(4,6)))
require(reshape)
require(ggplot2)
require(raster)
cols<-colours()
cols<-cols[1:(nrow(DataToPlot)*ncol(DataToPlot))]
tdm<-melt(DataToPlot)
p<- ggplot(tdm, aes(x = Var2, y = Var1, fill = factor(value))) +
labs(x = "MHz", y = "Threshold", fill = "Duty Cycle") +
geom_raster(alpha=.5) +
scale_fill_manual(values=cols,breaks=c("1","0.9","0.8","0.7","0.6","0.5","0.4","0.3","0.2","0.1","0"))
My values go from 0 to 1 (might go slightly over the limits) and I want to
specify one color for the following ranges, 1, 0.9,0.8,.....,0 . That means
that values between the intervals will be "categorized" based on their closest
match.
What I also tried is to create a gray scale pallete as this is printer friendly
so the values from 0.9 to 0.1 get a greyish tone but I failed to do that with
colours.
Could you please help me have both
a. A fixed scale where values are categorized there
and
b. a greyish pallete for the categories?
I would like to thank you in advance for your reply
Regards
Alex
________________________________
From: Ista Zahn <istaz...@gmail.com>
Cc: R help <R-help@r-project.org>
Sent: Wednesday, February 20, 2013 4:54 PM
Subject: Re: [R] ggplot2 customizing a plot
Hi,
> Dear all,
> I want some help improve my ggplot as following:
> Make the plottable area with grid, so is easy one to see where each box
> refers to x and y values.
I don't think you can easily move the grid to the front, but you can
make the tiles transparent so the grid can be seen through them by
setting the alpha < 1.
> Add a color bar but with fixed values, that I want to specify.
use scale_fill_manual
> How I can do those two?
p<- ggplot(tdm, aes(x = Var2, y = Var1, fill = factor(value))) +
labs(x = "MHz", y = "Threshold", fill = "Duty Cycle") +
geom_raster(alpha=.5) +
scale_fill_manual(values=c("red", "blue", "green", "purple",
"orange", "pink", "tan", "violet", "yellow"))
Best,
Ista
>
> Before is some code what I have tried so far.
>
> Regards
> Alex
>
>
> DataToPlot<-matrix(data=seq(1:9),nrow=3,dimnames=list(seq(1,3),seq(4,6)))
>
>
> require(reshape)
> require(ggplot2)
> require(raster)
>
> tdm <- melt(DataToPlot)
>
>
>
> p<- ggplot(tdm, aes(x = Var2, y = Var1, fill = factor(value))) +
> labs(x = "MHz", y = "Threshold", fill = "Duty Cycle") +
> geom_raster() +
> scale_fill_discrete()
>
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>
>
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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>
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