On 10/26/2011 05:48 PM, RanRL wrote:
Hi everyone,
I have some data about a market research which I want to arrange in one plot
for easy viewing,
the data looks something like:
Product Color StoreA StoreB StoreC StoreD Price
ProdA R NA 4.33 2 4.33 35
G NA 4.33 2 4.33
35
B NA 4.33 2 3.76
58
Y NA 3.72 3 5.33
23
ProdB B 5.44 NA 4.22 3.76 87
ProdC G 4.77 3.22 4.77 2.10 65
B ... ... ... ...
..
And so on...
I want to create a plot where the colors of the hits represent the Product
(A,B,C..), the characther represent the color (X for yellow, box for green,
etc..), the X axis is the price and the Y axis is the number (0-5) from the
different Stores (A,B,C,D). I've thought either to create a matrix of 4
plots ( for the 4 stores) or in some creative way combine them into one
plot?
Please help me or point me in the right direction as to which functions to
look into, I've been playing around with ggplot for a few days, but can't
seem to wrap my head around it yet...
Hi RanRL,
I swapped the colors and product names, but this rather inelegant code
might do what you want:
ranrl<-read.table("ranrl.dat",header=TRUE)
plot(ranrl$Price,ranrl$StoreC,ylim=range(ranrl[,3:5],na.rm=TRUE),
type="n",xlab="Price",ylab="Number sold")
text(ranrl$Price[1],ranrl[1,3:5],
paste("ProdA",names(ranrl)[3:5],sep="\n"),
col="red")
text(ranrl$Price[2],ranrl[2,3:5],
paste("ProdA",names(ranrl)[3:5],sep="\n"),
col="green")
text(ranrl$Price[3],ranrl[3,3:5],
paste("ProdA",names(ranrl)[3:5],sep="\n"),
col="blue")
text(ranrl$Price[4],ranrl[4,3:5],
paste("ProdA",names(ranrl)[3:5],sep="\n"),
col="yellow")
text(ranrl$Price[5],ranrl[5,3:5],
paste("ProdB",names(ranrl)[3:5],sep="\n"),
col="blue")
text(ranrl$Price[6],ranrl[6,3:5],
paste("ProdC",names(ranrl)[3:5],sep="\n"),
col="green")
Jim
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
