It has been already asked but I couldn't find the exact answer for this. I am wondering if the following is doable.
I have a bunch of scatter plot data in ggplot2 library and each has different mean and standard deviation, and the number of observations. I would like to print these information on top of each different plot. Therefore, I am calculating and wanting to print those with annotate. What I am doing is as follows:
m_axl5 <- as.character(round(mean(newdata$axl5), 5))
sd_axl5 <- as.character(round(sd(newdata$axl5), 5))
txt_m <- paste ("mean:", m_axl5)
txt_sd <- paste ("stdev:", m_axl5)
txt <-paste (txt_m, txt_sd, sep = '\n')
axl5 <- ggplot (newdata, aes(y=axl5, x= row.names(newdata))) + geom_point(position = position_jitter(w=0.1, h=0), colour= "red")+
ggtitle("Axle 5 Weight - Match Error Difference") + xlab("") + ylab("Axle 5 Weight Match Error")
axl5 + theme(axis.ticks = element_blank(), axis.text.x = element_blank()) +annotate("text", x = 1, y = 10, label = txt)
Whenever I do this, it gives me the following error:
Error: Incompatible lengths for set aesthetics: label
I couldn't find a way of customizing label that way or annotating a text on ggplot as a result of my research. If someone can help me, or at least guide me if this was done earlier, I'd be more than glad.
Thanks.