I want to plot a bar and line chart from a dataframe. Code below,
library(\"ggplot2\")
numb <- c(1,2,3,4,5,6,7,8,9)
mydist <- c(53.846154,15.384615,15.384
Without changing much of the original code, you only need to put your fill
into aes
mapping, then add the scale
to set the colour values
and labels
:
ggplot(data=df,aes(x=numb)) +
geom_bar(stat="identity", aes(y=mydist, fill="green"), colour="green") +
geom_line(aes(y=basedist,group=1, colour="base distribution")) +
geom_point(aes(y=basedist), colour="red") +
ggtitle("My Chart") +
labs(x="numb", y="percentage") +
scale_x_discrete(limits=c("1","2","3","4","5","6","7","8","9")) +
scale_y_continuous(breaks=seq(0,100,10)) +
scale_fill_manual(values = "green", labels = "my distribution") +
theme(axis.title.x = element_text(size=10, colour ="#666666")) +
theme(axis.title.y = element_text(size=10, color="#666666")) +
theme(plot.title = element_text(size=16, face="bold", hjust=0, color="#666666")) +
theme(axis.text = element_text(size=12)) +
theme(legend.title = element_text(colour="white", size = 16, face='bold'))