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Gimelist I have the following code in R: library(ggplot2)
theme_set(theme_bw())
p <- ggplot(mtcars, aes(wt, mpg))
p <- p + geom_point(aes(colour = factor(cyl)))
p
turn out: Each legend entry has a gray border around it. How to delete? Tonitonov just add + the
Gimelist I have the following code in R: library(ggplot2)
theme_set(theme_bw())
p <- ggplot(mtcars, aes(wt, mpg))
p <- p + geom_point(aes(colour = factor(cyl)))
p
turn out: Each legend entry has a gray border around it. How to delete? Tonitonov just add + the
Gimelist I have the following code in R: library(ggplot2)
theme_set(theme_bw())
p <- ggplot(mtcars, aes(wt, mpg))
p <- p + geom_point(aes(colour = factor(cyl)))
p
The result is: Each legend entry has a gray border around it. How to delete? Tonitonov just add
Gimelist I have the following code in R: library(ggplot2)
theme_set(theme_bw())
p <- ggplot(mtcars, aes(wt, mpg))
p <- p + geom_point(aes(colour = factor(cyl)))
p
The result is: Each legend entry has a gray border around it. How to delete? Tonitonov just add
Rectangle Rectangle: I've been messing around with Tkinter Canvaswidgets to see if I can make some nice looking widgets, and I have a few questions. First of all, why is there a light grey border around my Canvas widget and how do I get rid of it? Second, why
Rectangle Rectangle: I've been messing around with Tkinter Canvaswidgets to see if I can make some nice looking widgets, and I have a few questions. First of all, why is there a light grey border around my Canvas widget and how do I get rid of it? Second, why
Xu Wang I want to remove the grey color from the legend box (this is because of SE in geom_smooth). I want to keep SE in the actual plot. So, in the legend box, I only want the color of the line, not the shadow. Here is an example: library(ggplot2)
x <- rnorm
Xu Wang I want to remove the grey color from the legend box (this is because of SE in geom_smooth). I want to keep SE in the actual plot. So, in the legend box, I only want the color of the line, not the shadow. Here is an example: library(ggplot2)
x <- rnorm
Xu Wang I want to remove the grey color from the legend box (this is because of SE in geom_smooth). I want to keep SE in the actual plot. So, in the legend box, I only want the color of the line, not the shadow. Here is an example: library(ggplot2)
x <- rnorm
Hennessy By default, titles are left-aligned starting with ggplot 2.2.0. How to center them again has been explained in this post: Center plot title in ggplot2 This also works fine in my case, but not if I use theme_bw. dat <- data.frame(
time = factor(c("Lu
Hennessy By default, titles are left-aligned starting with ggplot 2.2.0. How to center them again has been explained in this post: Center plot title in ggplot2 This also works fine in my case, but not if I use theme_bw. dat <- data.frame(
time = factor(c("Lu
Hennessy By default, titles are left-aligned starting with ggplot 2.2.0. How to center them again has been explained in this post: Center plot title in ggplot2 This also works fine in my case, but not if I use theme_bw. dat <- data.frame(
time = factor(c("Lu
Hennessy By default, titles are left-aligned starting with ggplot 2.2.0. How to center them again has been explained in this post: Center plot title in ggplot2 This also works fine in my case, but not if I use theme_bw. dat <- data.frame(
time = factor(c("Lu
grouse How to get darker gridlines theme_bw()in ggplot2 ? I've seen some answers, but most of them are too complicated to use theme(). Is there an easier way? corr.plot.contour(data=foo1,x='log(area)',y='log(fd)',xl='Basa(log)',yl='Flo'+stat_smooth(method="lm"
grouse How to get darker gridlines theme_bw()in ggplot2 ? I've seen some answers, but most of them are too complicated to use theme(). Is there an easier way? corr.plot.contour(data=foo1,x='log(area)',y='log(fd)',xl='Basa(log)',yl='Flo'+stat_smooth(method="lm"
grouse How to get darker gridlines theme_bw()in ggplot2 ? I've seen some answers, but most of them are too complicated to use theme(). Is there an easier way? corr.plot.contour(data=foo1,x='log(area)',y='log(fd)',xl='Basa(log)',yl='Flo'+stat_smooth(method="lm"
grouse How to get darker gridlines theme_bw()in ggplot2 ? I've seen some answers, but most of them are too complicated to use theme(). Is there an easier way? corr.plot.contour(data=foo1,x='log(area)',y='log(fd)',xl='Basa(log)',yl='Flo'+stat_smooth(method="lm"
like you I'm trying to generate some fractals and have a question about margins with ggplot in R. I am using the following code to generate fractals. library(ggplot2)
library(grid)
max_iter=25
cl=colours()
step=seq(-2,0.8,by=0.005)
points=array(0,dim=c(length
like you I'm trying to generate some fractals and have a question about margins with ggplot in R. I am using the following code to generate fractals. library(ggplot2)
library(grid)
max_iter=25
cl=colours()
step=seq(-2,0.8,by=0.005)
points=array(0,dim=c(length
like you I'm trying to generate some fractals and have a question about margins with ggplot in R. I am using the following code to generate fractals. library(ggplot2)
library(grid)
max_iter=25
cl=colours()
step=seq(-2,0.8,by=0.005)
points=array(0,dim=c(length
bridge I am using ggplot2 with GAM smoothing to see the relationship between two variables. When plotting, I want to remove the grey area after the symbols for both types of variables. For this I would use theme(legend.key = element_blank()), but it doesn't se
bridge I am using ggplot2 with GAM smoothing to see the relationship between two variables. When plotting, I want to remove the grey area after the symbols for both types of variables. For this I would use theme(legend.key = element_blank()), but it doesn't se
Casey I am using ggplot2 ro to plot error bars. For the legend, I want it like this: in the plot. I know the function theme(legend.position) can do this. Use latex notation in legend labels with functional expressions. I've read some references on building leg
Casey I am using ggplot2 ro to plot error bars. For the legend, I want it like this: in the plot. I know the function theme(legend.position) can do this. Use latex notation in legend labels with functional expressions. I've read some references on building leg
Casey I am using ggplot2 ro to plot error bars. For the legend, I want it like this: in the plot. I know the function theme(legend.position) can do this. Use latex notation in legend labels with functional expressions. I've read some references on building leg
Pingtang Here is my code: a<-c(1,2,3) b<-c(10, 20,30) data<-data.frame(a=a, b=b) p<-ggplot(data, aes(x=a, y=b))+geom_point()+ geom_hline(yintercept = 7.69, linetype=2, size=1) As you can see the line is both a dashed and an opportunity line, but there is no le
Italian Marmite I have a scatterplot with two sets of distinct points based on different datasets. I wanted one of the points to have a border, so I used , pch = 21, which changed the points to a circle with a border and inside. I want the other set of points
username I would like to somehow indicate that certain rows in a multi-panel plot should be compared. For example, I want to draw this graph: A plot that looks like this (with boxes around the panels made in PowerPoint): Here is the code I wrote using the firs
username I would like to somehow indicate that certain rows in a multi-panel plot should be compared. For example, I want to draw this graph: A plot that looks like this (with boxes around the panels made in PowerPoint): Here is the code I wrote using the firs
