Hi,
This is my first post; I'm new to R but am a senior statistical programmer. I have done a lot of graphs using SAS Graph but now am trying to transition to using graphs in R.
I'm trying to produce a graph where the colors have three categories- ideally I would like them to be Green for good, Yellow for Questionable, and Red for bad.
So I tried to do this in GGPLOT; here is my code:
id <- c(1,2,3,4,5)
x1 <- c(5,2,3,5,1)
x2 <- c(4,1,3,5,1)
x3 <- c(5,2,3,5,1)
x4 <- c(4,3,3,5,1)
x5 <- c(3,1,3,5,1)
colorvar <- c(3,1,2,3,1)
mydata <- data.frame(id,x1,x2,x3,x4,x5,colorvar)
head(mydata)
# convert to long format
require("reshape")
mydata_long <- melt(mydata, id=c("id", "colorvar"))
head(mydata_long)
require("ggplot2")
p <- ggplot(data=mydata_long,
aes(x=variable, y=value,
group=id, colour = colorvar)) +
geom_line()
p
This works, but I get more colors on the graph than my colorvar has. I have 3 colors on my colorvar, but 5 colors show up on the graph, including 1.5 and 2.5. How do I tell ggplot only to use the 3 colors and not give me a gradient of colors? Also how would I specify the colors that I want, such as the RGB equivalents of green, yellow, and red? My real data will have many more records.
-Mary
Getting discrete colors on plot
4 messages · mary, arun, Jim Lemon +1 more
HI,
May be this helps:
mydata_long1<-within(mydata_long,{colorvar<-factor(colorvar,levels=1:3)})
require("ggplot2")
p <- ggplot(data=mydata_long1,
? ? ? aes(x=variable, y=value,
group=id, colour = colorvar)) +
? ? geom_line()
p
A.K.
----- Original Message -----
From: Mary <mlhoward at avalon.net>
To: r-help at r-project.org
Cc:
Sent: Thursday, January 17, 2013 12:02 PM
Subject: Re: [R] Getting discrete colors on plot
Hi,
This is my first post; I'm new to R but am a senior statistical programmer.? I have done a lot of graphs using SAS Graph but now am trying to transition to using graphs in R.
I'm trying to produce a graph where the colors have three categories- ideally I would like them to be Green for good, Yellow for Questionable, and Red for bad.
So I tried to do this in GGPLOT; here is my code:
id <-? ? ? c(1,2,3,4,5)
x1 <-? ? ? c(5,2,3,5,1)
x2 <-? ? ? c(4,1,3,5,1)
x3 <-? ? ? c(5,2,3,5,1)
x4 <-? ? ? c(4,3,3,5,1)
x5 <-? ? ? c(3,1,3,5,1)
colorvar <- c(3,1,2,3,1)
mydata <- data.frame(id,x1,x2,x3,x4,x5,colorvar)
head(mydata)
# convert to long format
require("reshape")
mydata_long <- melt(mydata, id=c("id", "colorvar"))
head(mydata_long)
require("ggplot2")
p <- ggplot(data=mydata_long,
? ? ? aes(x=variable, y=value,
group=id, colour = colorvar)) +
? ? geom_line()
p
?
This works, but I get more colors on the graph than my colorvar has.? I have 3 colors on my colorvar, but 5 colors show up on the graph, including 1.5 and 2.5.? How do I tell ggplot only to use the 3 colors and not give me a gradient of colors?? Also how would I specify the colors that I want, such as the RGB equivalents of green, yellow, and red?? My real data will have many more records.
-Mary
______________________________________________
R-help at 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.
On 01/18/2013 04:02 AM, Mary wrote:
Hi,
This is my first post; I'm new to R but am a senior statistical programmer. I have done a lot of graphs using SAS Graph but now am trying to transition to using graphs in R.
I'm trying to produce a graph where the colors have three categories- ideally I would like them to be Green for good, Yellow for Questionable, and Red for bad.
So I tried to do this in GGPLOT; here is my code:
id<- c(1,2,3,4,5)
x1<- c(5,2,3,5,1)
x2<- c(4,1,3,5,1)
x3<- c(5,2,3,5,1)
x4<- c(4,3,3,5,1)
x5<- c(3,1,3,5,1)
colorvar<- c(3,1,2,3,1)
mydata<- data.frame(id,x1,x2,x3,x4,x5,colorvar)
head(mydata)
# convert to long format
require("reshape")
mydata_long<- melt(mydata, id=c("id", "colorvar"))
head(mydata_long)
require("ggplot2")
p<- ggplot(data=mydata_long,
aes(x=variable, y=value,
group=id, colour = colorvar)) +
geom_line()
p
This works, but I get more colors on the graph than my colorvar has. I have 3 colors on my colorvar, but 5 colors show up on the graph, including 1.5 and 2.5. How do I tell ggplot only to use the 3 colors and not give me a gradient of colors? Also how would I specify the colors that I want, such as the RGB equivalents of green, yellow, and red? My real data will have many more records.
-Mary
Hi Mary, I'm not exactly sure what you are doing with the "melt" function, but does: matplot(mydata$id,mydata[,2:6],col=mydata$colorvar+1,type="l") give you something like what you want? Jim
Hi
-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
project.org] On Behalf Of Mary
Sent: Thursday, January 17, 2013 6:02 PM
To: r-help at r-project.org
Subject: Re: [R] Getting discrete colors on plot
Hi,
This is my first post; I'm new to R but am a senior statistical
programmer. I have done a lot of graphs using SAS Graph but now am
trying to transition to using graphs in R.
I'm trying to produce a graph where the colors have three categories-
ideally I would like them to be Green for good, Yellow for
Questionable, and Red for bad.
So I tried to do this in GGPLOT; here is my code:
id <- c(1,2,3,4,5)
x1 <- c(5,2,3,5,1)
x2 <- c(4,1,3,5,1)
x3 <- c(5,2,3,5,1)
x4 <- c(4,3,3,5,1)
x5 <- c(3,1,3,5,1)
colorvar <- c(3,1,2,3,1)
mydata <- data.frame(id,x1,x2,x3,x4,x5,colorvar)
head(mydata)
# convert to long format
require("reshape")
mydata_long <- melt(mydata, id=c("id", "colorvar"))
head(mydata_long)
require("ggplot2")
p <- ggplot(data=mydata_long,
aes(x=variable, y=value,
group=id, colour = colorvar)) +
geom_line()
p
This works, but I get more colors on the graph than my colorvar has. I
have 3 colors on my colorvar, but 5 colors show up on the graph,
including 1.5 and 2.5. How do I tell ggplot only to use the 3 colors
and not give me a gradient of colors? Also how would I specify the
colors that I want, such as the RGB equivalents of green, yellow, and
red? My real data will have many more records.
Learn to use factors. str(mydata) 'data.frame': 5 obs. of 7 variables: $ id : num 1 2 3 4 5 $ x1 : num 5 2 3 5 1 $ x2 : num 4 1 3 5 1 $ x3 : num 5 2 3 5 1 $ x4 : num 4 3 3 5 1 $ x5 : num 3 1 3 5 1 $ colorvar: num 3 1 2 3 1
Your colorvar is numeric therefore the scale. If you want to make it discrete change it to factor. mydata_long$colorvar<-factor(mydata_long$colorvar) and use your function to see the difference. Regards Petr
-Mary
______________________________________________ R-help at 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.