Plotting multiple datasets on a 3D plot
$begingroup$
I want to make a 3D scatter plot of multiple data selections on a single plot (i.e same axes).
I know that in 2D this is possible by using par() function like so:
plot(6:25,rnorm(20),type="b",xlim=c(1,30),ylim=c(-2.5,2.5),col=2)
par(new=T)
plot(rnorm(30),type="b",axes=F,col=3)
par(new=F)
(source: http://cran.r-project.org/doc/contrib/Lemon-kickstart/kr_addat.html)
Can I do something like that on a 3D plot, preferably an interactive 3D plot, like the ones created using plot3D from 'rgl' package?
r visualization
asked Jun 4 '15 at 18:37
KMPKMP
161
$endgroup$
add a comment |
$begingroup$
I want to make a 3D scatter plot of multiple data selections on a single plot (i.e same axes).
I know that in 2D this is possible by using par() function like so:
plot(6:25,rnorm(20),type="b",xlim=c(1,30),ylim=c(-2.5,2.5),col=2)
par(new=T)
plot(rnorm(30),type="b",axes=F,col=3)
par(new=F)
(source: http://cran.r-project.org/doc/contrib/Lemon-kickstart/kr_addat.html)
Can I do something like that on a 3D plot, preferably an interactive 3D plot, like the ones created using plot3D from 'rgl' package?
r visualization
asked Jun 4 '15 at 18:37
KMPKMP
161
$endgroup$
1
$begingroup$
Welcome to the community :) As there are "r" and "data visualization" tags this question is not irrelevant but maybe stackoverflow is a better place to get a helpful answer
$endgroup$
– Kasra Manshaei
Jun 4 '15 at 19:38
$begingroup$
I found one solution to the problem here: <br/> stackoverflow.com/questions/19731187/… <br/> which requires creating a data frame before doing this. I was wondering if there is a simpler, quicker way of doing it.
$endgroup$
– KMP
Jun 4 '15 at 20:25
add a comment |
$begingroup$
I want to make a 3D scatter plot of multiple data selections on a single plot (i.e same axes).
I know that in 2D this is possible by using par() function like so:
plot(6:25,rnorm(20),type="b",xlim=c(1,30),ylim=c(-2.5,2.5),col=2)
par(new=T)
plot(rnorm(30),type="b",axes=F,col=3)
par(new=F)
(source: http://cran.r-project.org/doc/contrib/Lemon-kickstart/kr_addat.html)
Can I do something like that on a 3D plot, preferably an interactive 3D plot, like the ones created using plot3D from 'rgl' package?
r visualization
asked Jun 4 '15 at 18:37
KMPKMP
161
$endgroup$
I want to make a 3D scatter plot of multiple data selections on a single plot (i.e same axes).
I know that in 2D this is possible by using par() function like so:
plot(6:25,rnorm(20),type="b",xlim=c(1,30),ylim=c(-2.5,2.5),col=2)
par(new=T)
plot(rnorm(30),type="b",axes=F,col=3)
par(new=F)
(source: http://cran.r-project.org/doc/contrib/Lemon-kickstart/kr_addat.html)
Can I do something like that on a 3D plot, preferably an interactive 3D plot, like the ones created using plot3D from 'rgl' package?
r visualization
r visualization
asked Jun 4 '15 at 18:37
KMPKMP
161
asked Jun 4 '15 at 18:37
KMPKMP
161
asked Jun 4 '15 at 18:37
KMPKMP
161
asked Jun 4 '15 at 18:37
KMPKMP
161
asked Jun 4 '15 at 18:37
KMPKMP
161
161
1
$begingroup$
Welcome to the community :) As there are "r" and "data visualization" tags this question is not irrelevant but maybe stackoverflow is a better place to get a helpful answer
$endgroup$
– Kasra Manshaei
Jun 4 '15 at 19:38
$begingroup$
I found one solution to the problem here: <br/> stackoverflow.com/questions/19731187/… <br/> which requires creating a data frame before doing this. I was wondering if there is a simpler, quicker way of doing it.
$endgroup$
– KMP
Jun 4 '15 at 20:25
add a comment |
1
$begingroup$
Welcome to the community :) As there are "r" and "data visualization" tags this question is not irrelevant but maybe stackoverflow is a better place to get a helpful answer
$endgroup$
– Kasra Manshaei
Jun 4 '15 at 19:38
$begingroup$
I found one solution to the problem here: <br/> stackoverflow.com/questions/19731187/… <br/> which requires creating a data frame before doing this. I was wondering if there is a simpler, quicker way of doing it.
$endgroup$
– KMP
Jun 4 '15 at 20:25
1
1
$begingroup$
Welcome to the community :) As there are "r" and "data visualization" tags this question is not irrelevant but maybe stackoverflow is a better place to get a helpful answer
$endgroup$
– Kasra Manshaei
Jun 4 '15 at 19:38
$begingroup$
Welcome to the community :) As there are "r" and "data visualization" tags this question is not irrelevant but maybe stackoverflow is a better place to get a helpful answer
$endgroup$
– Kasra Manshaei
Jun 4 '15 at 19:38
$begingroup$
I found one solution to the problem here: <br/> stackoverflow.com/questions/19731187/… <br/> which requires creating a data frame before doing this. I was wondering if there is a simpler, quicker way of doing it.
$endgroup$
– KMP
Jun 4 '15 at 20:25
$begingroup$
I found one solution to the problem here: <br/> stackoverflow.com/questions/19731187/… <br/> which requires creating a data frame before doing this. I was wondering if there is a simpler, quicker way of doing it.
$endgroup$
– KMP
Jun 4 '15 at 20:25
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
You can use the plot3Drgl library. E.g.
library("plot3Drgl")
x <- c(1,2,3,4,5)
y <- c(6,7,8,9,10)
z <- c(11,12,13,14,15)
colors <- c(rep("red",3), rep("blue",2))
plot3d(x=x,y=y,z=z,col=colors)
Or you can use plotly:
library("plotly")
x <- c(1,2,3,4,5)
y <- c(6,7,8,9,10)
z <- c(11,12,13,14,15)
colors <- c(rep("red",3), rep("blue",2))
df<-as.data.frame(cbind(x,y,z,colors))
colnames(df)<-c("eat", "pork", "chops", "colors")
p <- plot_ly(data=df, x=~eat, y=~pork, z=~chops, color =~colors, colors=c('#BF382A', '#0C4B8E')) %>% ## Like a pipe?
add_markers() %>%
layout(scene = list(xaxis = list(title = 'eat'),
yaxis = list(title = 'pork'),
zaxis = list(title = 'chops')))
htmlwidgets::saveWidget(as_widget(p), "index.html")
This saves the output as an html file. In order to get this to work, you'll also need to install pandoc. On CentOS/RedHat do yum install pandoc pandoc-citeproc. On Mac OSX, using homebrew, do brew install pandoc.
answered 15 hours ago
irritable_phd_syndromirritable_phd_syndrom
1111
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irritable_phd_syndrom is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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1 Answer
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$begingroup$
You can use the plot3Drgl library. E.g.
library("plot3Drgl")
x <- c(1,2,3,4,5)
y <- c(6,7,8,9,10)
z <- c(11,12,13,14,15)
colors <- c(rep("red",3), rep("blue",2))
plot3d(x=x,y=y,z=z,col=colors)
Or you can use plotly:
library("plotly")
x <- c(1,2,3,4,5)
y <- c(6,7,8,9,10)
z <- c(11,12,13,14,15)
colors <- c(rep("red",3), rep("blue",2))
df<-as.data.frame(cbind(x,y,z,colors))
colnames(df)<-c("eat", "pork", "chops", "colors")
p <- plot_ly(data=df, x=~eat, y=~pork, z=~chops, color =~colors, colors=c('#BF382A', '#0C4B8E')) %>% ## Like a pipe?
add_markers() %>%
layout(scene = list(xaxis = list(title = 'eat'),
yaxis = list(title = 'pork'),
zaxis = list(title = 'chops')))
htmlwidgets::saveWidget(as_widget(p), "index.html")
This saves the output as an html file. In order to get this to work, you'll also need to install pandoc. On CentOS/RedHat do yum install pandoc pandoc-citeproc. On Mac OSX, using homebrew, do brew install pandoc.
answered 15 hours ago
irritable_phd_syndromirritable_phd_syndrom
1111
New contributor
irritable_phd_syndrom is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
You can use the plot3Drgl library. E.g.
library("plot3Drgl")
x <- c(1,2,3,4,5)
y <- c(6,7,8,9,10)
z <- c(11,12,13,14,15)
colors <- c(rep("red",3), rep("blue",2))
plot3d(x=x,y=y,z=z,col=colors)
Or you can use plotly:
library("plotly")
x <- c(1,2,3,4,5)
y <- c(6,7,8,9,10)
z <- c(11,12,13,14,15)
colors <- c(rep("red",3), rep("blue",2))
df<-as.data.frame(cbind(x,y,z,colors))
colnames(df)<-c("eat", "pork", "chops", "colors")
p <- plot_ly(data=df, x=~eat, y=~pork, z=~chops, color =~colors, colors=c('#BF382A', '#0C4B8E')) %>% ## Like a pipe?
add_markers() %>%
layout(scene = list(xaxis = list(title = 'eat'),
yaxis = list(title = 'pork'),
zaxis = list(title = 'chops')))
htmlwidgets::saveWidget(as_widget(p), "index.html")
This saves the output as an html file. In order to get this to work, you'll also need to install pandoc. On CentOS/RedHat do yum install pandoc pandoc-citeproc. On Mac OSX, using homebrew, do brew install pandoc.
answered 15 hours ago
irritable_phd_syndromirritable_phd_syndrom
1111
New contributor
irritable_phd_syndrom is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
You can use the plot3Drgl library. E.g.
library("plot3Drgl")
x <- c(1,2,3,4,5)
y <- c(6,7,8,9,10)
z <- c(11,12,13,14,15)
colors <- c(rep("red",3), rep("blue",2))
plot3d(x=x,y=y,z=z,col=colors)
Or you can use plotly:
library("plotly")
x <- c(1,2,3,4,5)
y <- c(6,7,8,9,10)
z <- c(11,12,13,14,15)
colors <- c(rep("red",3), rep("blue",2))
df<-as.data.frame(cbind(x,y,z,colors))
colnames(df)<-c("eat", "pork", "chops", "colors")
p <- plot_ly(data=df, x=~eat, y=~pork, z=~chops, color =~colors, colors=c('#BF382A', '#0C4B8E')) %>% ## Like a pipe?
add_markers() %>%
layout(scene = list(xaxis = list(title = 'eat'),
yaxis = list(title = 'pork'),
zaxis = list(title = 'chops')))
htmlwidgets::saveWidget(as_widget(p), "index.html")
This saves the output as an html file. In order to get this to work, you'll also need to install pandoc. On CentOS/RedHat do yum install pandoc pandoc-citeproc. On Mac OSX, using homebrew, do brew install pandoc.
answered 15 hours ago
irritable_phd_syndromirritable_phd_syndrom
1111
New contributor
irritable_phd_syndrom is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
You can use the plot3Drgl library. E.g.
library("plot3Drgl")
x <- c(1,2,3,4,5)
y <- c(6,7,8,9,10)
z <- c(11,12,13,14,15)
colors <- c(rep("red",3), rep("blue",2))
plot3d(x=x,y=y,z=z,col=colors)
Or you can use plotly:
library("plotly")
x <- c(1,2,3,4,5)
y <- c(6,7,8,9,10)
z <- c(11,12,13,14,15)
colors <- c(rep("red",3), rep("blue",2))
df<-as.data.frame(cbind(x,y,z,colors))
colnames(df)<-c("eat", "pork", "chops", "colors")
p <- plot_ly(data=df, x=~eat, y=~pork, z=~chops, color =~colors, colors=c('#BF382A', '#0C4B8E')) %>% ## Like a pipe?
add_markers() %>%
layout(scene = list(xaxis = list(title = 'eat'),
yaxis = list(title = 'pork'),
zaxis = list(title = 'chops')))
htmlwidgets::saveWidget(as_widget(p), "index.html")
This saves the output as an html file. In order to get this to work, you'll also need to install pandoc. On CentOS/RedHat do yum install pandoc pandoc-citeproc. On Mac OSX, using homebrew, do brew install pandoc.
answered 15 hours ago
irritable_phd_syndromirritable_phd_syndrom
1111
New contributor
irritable_phd_syndrom is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 15 hours ago
irritable_phd_syndromirritable_phd_syndrom
1111
New contributor
irritable_phd_syndrom is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 15 hours ago
irritable_phd_syndromirritable_phd_syndrom
1111
answered 15 hours ago
irritable_phd_syndromirritable_phd_syndrom
1111
1111
New contributor
irritable_phd_syndrom is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
irritable_phd_syndrom is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
irritable_phd_syndrom is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
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$begingroup$
Welcome to the community :) As there are "r" and "data visualization" tags this question is not irrelevant but maybe stackoverflow is a better place to get a helpful answer
$endgroup$
– Kasra Manshaei
Jun 4 '15 at 19:38
$begingroup$
I found one solution to the problem here: <br/> stackoverflow.com/questions/19731187/… <br/> which requires creating a data frame before doing this. I was wondering if there is a simpler, quicker way of doing it.
$endgroup$
– KMP
Jun 4 '15 at 20:25