Stack Overflow Asked by Alejandra Dip on January 5, 2022
I got the diversity profiles of 6 altitudinal bands with DivProfile function of entropart package. Now I want to plot one of the components of the result object, $CommunityAlphaDiversities, using ggplot2
I tried this:
band.div1 <- as.data.frame(banddivs)
ggplot()+
geom_line(data=band.div1, aes(x = Order, y = X1700))+
geom_line(data=band.div1, aes(x = Order, y = X1900))+
geom_line(data=band.div1, aes(x = Order, y = X2100))+
geom_line(data=band.div1, aes(x = Order, y = X2300))+
geom_line(data=band.div1, aes(x = Order, y = X2500))+
geom_line(data=band.div1, aes(x = Order, y = X1700A))+
theme(axis.title.x = element_text(size=18), # remove x-axis labels
axis.title.y = element_text(size=18), # remove y-axis labels
panel.grid.major = element_blank(), #remove major-grid labels
panel.grid.minor = element_blank()) #remove minor-grid labels)
But I don’t know how to set different colours for each line. My ggplot2 handling is very limited
You need to reshape your data to a long format to have a variable for grouping (to avoid multiple geom_lines
) and also use that variable for colour
.
band.div1.long <- reshape(band.div1, direction='long',
varying=c('X1700', 'X1700A', 'X1900', 'X2100', 'X2300', 'X2500'),
timevar='var',
times=c('X1700', 'X1700A', 'X1900', 'X2100', 'X2300', 'X2500'),
v.names=c('X'),
idvar='Order')
library(ggplot2)
ggplot()+
geom_line(data=band.div1.long, aes(x = Order, y = X, group=var, colour=var))+
theme(axis.title.x = element_text(size=18),
axis.title.y = element_text(size=18),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank())
You can specify the colour
manually in each geom but it is not efficient. Look below:
ggplot()+
geom_line(data=x, aes(x = Order, y = X1700 , colour="X1700" ))+
geom_line(data=x, aes(x = Order, y = X1900 , colour="X1900" ))+
geom_line(data=x, aes(x = Order, y = X2100 , colour="X2100" ))+
geom_line(data=x, aes(x = Order, y = X2300 , colour="X2300" ))+
geom_line(data=x, aes(x = Order, y = X2500 , colour="X2500" ))+
geom_line(data=x, aes(x = Order, y = X1700A, colour="X1700A"))+
theme(axis.title.x = element_text(size=18),
axis.title.y = element_text(size=18),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank())
Answered by M-- on January 5, 2022
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