plot grouped data in R
I have a grouped data as follows:
group x y
group1 0 5
group4 0 5
group1 7 5
group4 0 5
group5 7 5
group1 7 5
group1 0 6
group2 0 6
group4 0 5
group2 0 5
group3 7 5
both x and y are discrete values having ranging between 0 and 7. I want to get a plot place each group data on the x-y plane according to their respective x and y values.For example, I can have multiple group1 points, all of which should share the same color. How to do that in R?
r graph plot
edited Mar 21 '13 at 12:17
Arun
93.6k11218319
asked Mar 21 '13 at 11:38
user297850user297850
2,593103450
add a comment |
I have a grouped data as follows:
group x y
group1 0 5
group4 0 5
group1 7 5
group4 0 5
group5 7 5
group1 7 5
group1 0 6
group2 0 6
group4 0 5
group2 0 5
group3 7 5
both x and y are discrete values having ranging between 0 and 7. I want to get a plot place each group data on the x-y plane according to their respective x and y values.For example, I can have multiple group1 points, all of which should share the same color. How to do that in R?
r graph plot
edited Mar 21 '13 at 12:17
Arun
93.6k11218319
asked Mar 21 '13 at 11:38
user297850user297850
2,593103450
add a comment |
I have a grouped data as follows:
group x y
group1 0 5
group4 0 5
group1 7 5
group4 0 5
group5 7 5
group1 7 5
group1 0 6
group2 0 6
group4 0 5
group2 0 5
group3 7 5
both x and y are discrete values having ranging between 0 and 7. I want to get a plot place each group data on the x-y plane according to their respective x and y values.For example, I can have multiple group1 points, all of which should share the same color. How to do that in R?
r graph plot
edited Mar 21 '13 at 12:17
Arun
93.6k11218319
asked Mar 21 '13 at 11:38
user297850user297850
2,593103450
I have a grouped data as follows:
group x y
group1 0 5
group4 0 5
group1 7 5
group4 0 5
group5 7 5
group1 7 5
group1 0 6
group2 0 6
group4 0 5
group2 0 5
group3 7 5
both x and y are discrete values having ranging between 0 and 7. I want to get a plot place each group data on the x-y plane according to their respective x and y values.For example, I can have multiple group1 points, all of which should share the same color. How to do that in R?
r graph plot
r graph plot
edited Mar 21 '13 at 12:17
Arun
93.6k11218319
asked Mar 21 '13 at 11:38
user297850user297850
2,593103450
edited Mar 21 '13 at 12:17
Arun
93.6k11218319
asked Mar 21 '13 at 11:38
user297850user297850
2,593103450
edited Mar 21 '13 at 12:17
Arun
93.6k11218319
edited Mar 21 '13 at 12:17
Arun
93.6k11218319
edited Mar 21 '13 at 12:17
Arun
93.6k11218319
93.6k11218319
asked Mar 21 '13 at 11:38
user297850user297850
2,593103450
asked Mar 21 '13 at 11:38
user297850user297850
2,593103450
asked Mar 21 '13 at 11:38
user297850user297850
2,593103450
2,593103450
add a comment |
add a comment |
3 Answers
3
active
oldest
votes
The data:
dat <- read.table(text = "group x y
group1 0 5
group4 0 5
group1 7 5
group4 0 5
group5 7 5
group1 7 5
group1 0 6
group2 0 6
group4 0 5
group2 0 5
group3 7 5", header = TRUE)
You can use the excellent ggplot2 package for easy plotting:
library(ggplot2)
ggplot(dat, aes(x = x, y = y, colour = group)) +
geom_point() +
facet_wrap( ~ group)
Here, I used facet_wrap to create facets for each group. In principle this is not necessary, since the groups' points can be distinguished by their colour. But in this case there are only three different locations at the figure. Hence, not all points would be visible if the data were plotted in a single scatterplot.
answered Mar 21 '13 at 11:47
Sven HohensteinSven Hohenstein
66.1k12100131
add a comment |
Using the data from Sven's answer, you can also look at the lattice package, which should already be installed with your R installation:
library(lattice)
# Each group in a separate mini plot
xyplot(y ~ x | group, data = dat)
# All groups in one plot, different colors for each group
# Not at all interesting with the example data you've provided
xyplot(y ~ x, groups=dat$group, data = dat)
Here's an example of each with a little bit more data:
set.seed(1)
mydf <- data.frame(
group = sample(letters[1:4], 50, replace = TRUE),
x = runif(50, 0, 7),
y = runif(50, 0, 7)
)
xyplot(y ~ x, groups=mydf$group, data = mydf,
auto.key = list(corner = c(0, .98)), cex = 1.5)
xyplot(y ~ x | group, data = mydf,
auto.key = list(corner = c(0, .98)), cex = 1.5)
answered Mar 21 '13 at 11:55
A5C1D2H2I1M1N2O1R2T1A5C1D2H2I1M1N2O1R2T1
154k18287381
add a comment |
dd<- read.table("put the path to the txt file containing the data here", header=TRUE)
g <- ggplot(dd, aes(as.factor(group)))
g <- g + geom_point(aes(y=x), colour="red")
g <- g + geom_point(aes(y=y), colour="green")
g
This would give you x and y as a function of the group, in a single plot, as shown below. 
answered Mar 22 '13 at 11:36
Venkatramanan P.R.Venkatramanan P.R.
843
add a comment |
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3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
The data:
dat <- read.table(text = "group x y
group1 0 5
group4 0 5
group1 7 5
group4 0 5
group5 7 5
group1 7 5
group1 0 6
group2 0 6
group4 0 5
group2 0 5
group3 7 5", header = TRUE)
You can use the excellent ggplot2 package for easy plotting:
library(ggplot2)
ggplot(dat, aes(x = x, y = y, colour = group)) +
geom_point() +
facet_wrap( ~ group)
Here, I used facet_wrap to create facets for each group. In principle this is not necessary, since the groups' points can be distinguished by their colour. But in this case there are only three different locations at the figure. Hence, not all points would be visible if the data were plotted in a single scatterplot.
answered Mar 21 '13 at 11:47
Sven HohensteinSven Hohenstein
66.1k12100131
add a comment |
The data:
dat <- read.table(text = "group x y
group1 0 5
group4 0 5
group1 7 5
group4 0 5
group5 7 5
group1 7 5
group1 0 6
group2 0 6
group4 0 5
group2 0 5
group3 7 5", header = TRUE)
You can use the excellent ggplot2 package for easy plotting:
library(ggplot2)
ggplot(dat, aes(x = x, y = y, colour = group)) +
geom_point() +
facet_wrap( ~ group)
Here, I used facet_wrap to create facets for each group. In principle this is not necessary, since the groups' points can be distinguished by their colour. But in this case there are only three different locations at the figure. Hence, not all points would be visible if the data were plotted in a single scatterplot.
answered Mar 21 '13 at 11:47
Sven HohensteinSven Hohenstein
66.1k12100131
add a comment |
The data:
dat <- read.table(text = "group x y
group1 0 5
group4 0 5
group1 7 5
group4 0 5
group5 7 5
group1 7 5
group1 0 6
group2 0 6
group4 0 5
group2 0 5
group3 7 5", header = TRUE)
You can use the excellent ggplot2 package for easy plotting:
library(ggplot2)
ggplot(dat, aes(x = x, y = y, colour = group)) +
geom_point() +
facet_wrap( ~ group)
Here, I used facet_wrap to create facets for each group. In principle this is not necessary, since the groups' points can be distinguished by their colour. But in this case there are only three different locations at the figure. Hence, not all points would be visible if the data were plotted in a single scatterplot.
answered Mar 21 '13 at 11:47
Sven HohensteinSven Hohenstein
66.1k12100131
The data:
dat <- read.table(text = "group x y
group1 0 5
group4 0 5
group1 7 5
group4 0 5
group5 7 5
group1 7 5
group1 0 6
group2 0 6
group4 0 5
group2 0 5
group3 7 5", header = TRUE)
You can use the excellent ggplot2 package for easy plotting:
library(ggplot2)
ggplot(dat, aes(x = x, y = y, colour = group)) +
geom_point() +
facet_wrap( ~ group)
Here, I used facet_wrap to create facets for each group. In principle this is not necessary, since the groups' points can be distinguished by their colour. But in this case there are only three different locations at the figure. Hence, not all points would be visible if the data were plotted in a single scatterplot.
answered Mar 21 '13 at 11:47
Sven HohensteinSven Hohenstein
66.1k12100131
answered Mar 21 '13 at 11:47
Sven HohensteinSven Hohenstein
66.1k12100131
answered Mar 21 '13 at 11:47
Sven HohensteinSven Hohenstein
66.1k12100131
answered Mar 21 '13 at 11:47
Sven HohensteinSven Hohenstein
66.1k12100131
66.1k12100131
add a comment |
add a comment |
Using the data from Sven's answer, you can also look at the lattice package, which should already be installed with your R installation:
library(lattice)
# Each group in a separate mini plot
xyplot(y ~ x | group, data = dat)
# All groups in one plot, different colors for each group
# Not at all interesting with the example data you've provided
xyplot(y ~ x, groups=dat$group, data = dat)
Here's an example of each with a little bit more data:
set.seed(1)
mydf <- data.frame(
group = sample(letters[1:4], 50, replace = TRUE),
x = runif(50, 0, 7),
y = runif(50, 0, 7)
)
xyplot(y ~ x, groups=mydf$group, data = mydf,
auto.key = list(corner = c(0, .98)), cex = 1.5)
xyplot(y ~ x | group, data = mydf,
auto.key = list(corner = c(0, .98)), cex = 1.5)
answered Mar 21 '13 at 11:55
A5C1D2H2I1M1N2O1R2T1A5C1D2H2I1M1N2O1R2T1
154k18287381
add a comment |
Using the data from Sven's answer, you can also look at the lattice package, which should already be installed with your R installation:
library(lattice)
# Each group in a separate mini plot
xyplot(y ~ x | group, data = dat)
# All groups in one plot, different colors for each group
# Not at all interesting with the example data you've provided
xyplot(y ~ x, groups=dat$group, data = dat)
Here's an example of each with a little bit more data:
set.seed(1)
mydf <- data.frame(
group = sample(letters[1:4], 50, replace = TRUE),
x = runif(50, 0, 7),
y = runif(50, 0, 7)
)
xyplot(y ~ x, groups=mydf$group, data = mydf,
auto.key = list(corner = c(0, .98)), cex = 1.5)
xyplot(y ~ x | group, data = mydf,
auto.key = list(corner = c(0, .98)), cex = 1.5)
answered Mar 21 '13 at 11:55
A5C1D2H2I1M1N2O1R2T1A5C1D2H2I1M1N2O1R2T1
154k18287381
add a comment |
Using the data from Sven's answer, you can also look at the lattice package, which should already be installed with your R installation:
library(lattice)
# Each group in a separate mini plot
xyplot(y ~ x | group, data = dat)
# All groups in one plot, different colors for each group
# Not at all interesting with the example data you've provided
xyplot(y ~ x, groups=dat$group, data = dat)
Here's an example of each with a little bit more data:
set.seed(1)
mydf <- data.frame(
group = sample(letters[1:4], 50, replace = TRUE),
x = runif(50, 0, 7),
y = runif(50, 0, 7)
)
xyplot(y ~ x, groups=mydf$group, data = mydf,
auto.key = list(corner = c(0, .98)), cex = 1.5)
xyplot(y ~ x | group, data = mydf,
auto.key = list(corner = c(0, .98)), cex = 1.5)
answered Mar 21 '13 at 11:55
A5C1D2H2I1M1N2O1R2T1A5C1D2H2I1M1N2O1R2T1
154k18287381
Using the data from Sven's answer, you can also look at the lattice package, which should already be installed with your R installation:
library(lattice)
# Each group in a separate mini plot
xyplot(y ~ x | group, data = dat)
# All groups in one plot, different colors for each group
# Not at all interesting with the example data you've provided
xyplot(y ~ x, groups=dat$group, data = dat)
Here's an example of each with a little bit more data:
set.seed(1)
mydf <- data.frame(
group = sample(letters[1:4], 50, replace = TRUE),
x = runif(50, 0, 7),
y = runif(50, 0, 7)
)
xyplot(y ~ x, groups=mydf$group, data = mydf,
auto.key = list(corner = c(0, .98)), cex = 1.5)
xyplot(y ~ x | group, data = mydf,
auto.key = list(corner = c(0, .98)), cex = 1.5)
answered Mar 21 '13 at 11:55
A5C1D2H2I1M1N2O1R2T1A5C1D2H2I1M1N2O1R2T1
154k18287381
edited Mar 21 '13 at 12:13
answered Mar 21 '13 at 11:55
A5C1D2H2I1M1N2O1R2T1A5C1D2H2I1M1N2O1R2T1
154k18287381
answered Mar 21 '13 at 11:55
A5C1D2H2I1M1N2O1R2T1A5C1D2H2I1M1N2O1R2T1
154k18287381
answered Mar 21 '13 at 11:55
A5C1D2H2I1M1N2O1R2T1A5C1D2H2I1M1N2O1R2T1
154k18287381
154k18287381
add a comment |
add a comment |
dd<- read.table("put the path to the txt file containing the data here", header=TRUE)
g <- ggplot(dd, aes(as.factor(group)))
g <- g + geom_point(aes(y=x), colour="red")
g <- g + geom_point(aes(y=y), colour="green")
g
This would give you x and y as a function of the group, in a single plot, as shown below.
answered Mar 22 '13 at 11:36
Venkatramanan P.R.Venkatramanan P.R.
843
add a comment |
dd<- read.table("put the path to the txt file containing the data here", header=TRUE)
g <- ggplot(dd, aes(as.factor(group)))
g <- g + geom_point(aes(y=x), colour="red")
g <- g + geom_point(aes(y=y), colour="green")
g
This would give you x and y as a function of the group, in a single plot, as shown below.
answered Mar 22 '13 at 11:36
Venkatramanan P.R.Venkatramanan P.R.
843
add a comment |
dd<- read.table("put the path to the txt file containing the data here", header=TRUE)
g <- ggplot(dd, aes(as.factor(group)))
g <- g + geom_point(aes(y=x), colour="red")
g <- g + geom_point(aes(y=y), colour="green")
g
This would give you x and y as a function of the group, in a single plot, as shown below.
answered Mar 22 '13 at 11:36
Venkatramanan P.R.Venkatramanan P.R.
843
dd<- read.table("put the path to the txt file containing the data here", header=TRUE)
g <- ggplot(dd, aes(as.factor(group)))
g <- g + geom_point(aes(y=x), colour="red")
g <- g + geom_point(aes(y=y), colour="green")
g
This would give you x and y as a function of the group, in a single plot, as shown below.
answered Mar 22 '13 at 11:36
Venkatramanan P.R.Venkatramanan P.R.
843
answered Mar 22 '13 at 11:36
Venkatramanan P.R.Venkatramanan P.R.
843
answered Mar 22 '13 at 11:36
Venkatramanan P.R.Venkatramanan P.R.
843
answered Mar 22 '13 at 11:36
Venkatramanan P.R.Venkatramanan P.R.
843
843
add a comment |
add a comment |
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