?s 17:43 de 18/07/2024, Rui Barradas escreveu:> ?s 16:27 de 18/07/2024, SIBYLLE ST?CKLI via R-help escreveu:
>> Hi
>>
>> I am using ggplot to visualise y for a two-factorial group (Bio: 0 and
>> 1) x
>> = 6 years. I was able to adapt the colour of the lines (green and red)
>> and
>> the linetype (solid and dashed).
>> Challenge: my code produces now two legends. One with the colors for
the
>> group and one with the linetype for the group. Does somebody have a
>> hint how
>> to adapt the code to produce one legend? Group 0 = red and dashed,
>> Group 1 >> green and solid?
>>
>>
>> MS1<- MS %>% filter(QI_A!="NA") %>% droplevels()
>> dev.new(width=4, height=2.75)
>> par(mar = c(0,6,0,0))
>> p1<-ggplot(data = MS1, aes(x= Jahr, y= QI_A,group=Bio,color=Bio,
>> linetype=Bio)) +
>> ???????? geom_smooth(aes(fill=Bio) , method = "lm" , formula
= y ~ x +
>> I(x^2),linewidth=1) +
>> ????theme(panel.background = element_blank())+
>> ????theme(axis.line = element_line(colour = "black"))+
>> ?? theme(axis.text=element_text(size=18))+
>> ?? theme(axis.title=element_text(size=20))+
>> ????ylab("Anteil BFF an LN [%]") +xlab("Jahr")+
>> ????scale_color_manual(values=c("red","dark
green"), labels=c("?LN",
>> "BIO"))+
>> ????scale_fill_manual(values=c("red","dark green"),
labels= c("?LN",
>> "BIO"))+
>> ????theme(legend.title = element_blank())+
>> ?? theme(legend.text=element_text(size=20))+
>> ?? scale_linetype_manual(values=c("dashed",
"solid"))
>> p1<-p1 + expand_limits(y=c(0, 30))
>>
>> kind regards
>> Sibylle
>>
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>> and provide commented, minimal, self-contained, reproducible code.
> Hello,
>
> To have one legend only, the labels must be the same. Try using
>
> labels=c("?LN", "BIO")
>
> in
>
> scale_linetype_manual(values=c("dashed", "solid"),
labels=c("?LN", "BIO"))
>
>
> Hope this helps,
>
> Rui Barradas
>
>
Hello,
Here is a more complete an answer with the built-in data set mtcars.
Note that the group aesthetic is not used. This is because linetype is
categorical (after mutate) and there's no need to group again by the
same variable (am).
Remove labels from scale_linetype_manual and there are two legends but
with the same labels the legends merge.
library(ggplot2)
library(dplyr)
mtcars %>%
# linetype must be categorical
mutate(am = factor(am)) %>%
ggplot(aes(hp, disp, color = am, linetype = am)) +
geom_line() +
scale_color_manual(
values = c("red","dark green"),
labels = c("?LN", "BIO")
) +
scale_linetype_manual(
values = c("dashed", "solid"),
labels = c("?LN", "BIO")
) +
theme_bw()
Hope this helps,
Rui Barradas
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