I created a density plot with ggplot from a dataframe with 3 variables. One density line is dotted, but the legend shows a solid line for this line.
The data looks like this:
> head(df)
R1 R2 R3
1 0.085383867 0.04366546 0.055320885
2 0.059148932 0.03477045 0.040804048
3 -0.181279986 -0.10189900 -0.097218145
4 0.002307494 -0.01137235 -0.003585813
5 -0.047816198 -0.04932982 -0.009389939
6 0.030535090 0.02544292 0.017650949
The code for the plot is:
ggplot(data=df)+
stat_density(aes(x=R1, colour="rho = -0,6"), adjust=4, lwd=0.5, geom="line", position="identity")+
stat_density(aes(x=R2, colour="rho = 0,6"), adjust=4, lwd=0.5, geom="line", position="identity")+
stat_density(aes(x=R3, colour="rho = 0"), linetype=2, adjust=4, lwd=0.5, geom="line", position="identity")+
xlim(-0.5, 0.5)+
xlab("Renditen")+
ylab("Dichte")+
ggtitle("Renditeverteilung im Heston-Modell")+
theme(plot.title=element_text(face="bold", size=16, vjust=2), axis.title.x=element_text(vjust=-1, size=12),
axis.title.y=element_text(vjust=-0.25, size=12), legend.text=element_text(size=12), legend.title=element_text(size=12), legend.margin=unit(1.5, "cm"),
legend.key.height=unit(1.2, "line"), legend.key.size=unit(0.4, "cm"), legend.key=element_rect(fill=NA), legend.background=element_rect(colour="darkgrey"),
plot.margin=unit(c(1,1,1,1), "cm"))+
scale_colour_manual(values=c("rho = -0,6"="red", "rho = 0,6"="blue", "rho = 0"="black"), name="Korrelation")
And finally the plot:
How can I get the legend to show a dotted line for the third density line (variable R3)?
Thank you in advance!
You can use the following syntax to change the legend labels in ggplot2: p + scale_fill_discrete(labels=c('label1', 'label2', 'label3', ...))
You can place the legend literally anywhere. To put it around the chart, use the legend. position option and specify top , right , bottom , or left . To put it inside the plot area, specify a vector of length 2, both values going between 0 and 1 and giving the x and y coordinates.
10 mins. Data Visualization using GGPlot2. A density plot is an alternative to Histogram used for visualizing the distribution of a continuous variable. The peaks of a Density Plot help to identify where values are concentrated over the interval of the continuous variable.
Example 1: Remove All Legends in ggplot2 We simply had to specify legend. position = “none” within the theme options to get rid of both legends.
Put linetype=
inside aes()
for each stat_density()
with the same names as for colors=
and then use scale_linetype_manual()
to set types as you need. If you use the same legend name for linetypes and colors, both legend will be put together.
ggplot(data=df)+
stat_density(aes(x=R1, colour="rho = -0,6",linetype="rho = -0,6"),
adjust=4, lwd=0.5, geom="line", position="identity")+
stat_density(aes(x=R2, colour="rho = 0,6",linetype="rho = 0,6"),
adjust=4, lwd=0.5, geom="line", position="identity")+
stat_density(aes(x=R3, colour="rho = 0", linetype="rho = 0"),
adjust=4, lwd=0.5, geom="line", position="identity")+
xlim(-0.5, 0.5)+
xlab("Renditen")+
ylab("Dichte")+
ggtitle("Renditeverteilung im Heston-Modell")+
theme(plot.title=element_text(face="bold", size=16, vjust=2),
axis.title.x=element_text(vjust=-1, size=12),
axis.title.y=element_text(vjust=-0.25, size=12),
legend.text=element_text(size=12), legend.title=element_text(size=12),
legend.margin=unit(1.5, "cm"),
legend.key.height=unit(1.2, "line"),
legend.key.size=unit(0.4, "cm"),
legend.key=element_rect(fill=NA),
legend.background=element_rect(colour="darkgrey"),
plot.margin=unit(c(1,1,1,1), "cm"))+
scale_colour_manual(values=c("rho = -0,6"="red", "rho = 0,6"="blue",
"rho = 0"="black"), name="Korrelation")+
scale_linetype_manual(values=c("rho = -0,6"=1, "rho = 0,6"=1,
"rho = 0"=2), name="Korrelation")
The rule is simple:
each aes is key in the legend.
Since your linetype's are not in the aes , they are not showed in the legend.
Here an example:
library(ggplot2)
ggplot(mtcars) +
geom_line(aes(x=mpg,y=cyl,linetype='2')) +
geom_line(aes(x=mpg,y=disp,linetype='3')) +
scale_linetype_discrete(name = "Lines Types aes")
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