CODEWITHSUNDEEP
rggplot2
user3392114
user3392114

Reputation: 1

ggplot2: how to overlay 2 plots when using stat_summary

i am totally new in R so maybe the answer to the question is trivial but I couldn't find any solution after searching in the net for days.

I am using ggplot2 to create graphs containing the mean of my samples with the confidence interval in a ribbon (I can't post the pic but something like this: S1

I have a data frame (df) with time in the first column and the values of the variable measured in the other columns (each column is a replicate of the measurement). I do the following:

mdf<-melt(df, id='time', variable_name="samples")
p <- ggplot(data=mdf, aes(x=time, y=value)) +
  geom_point(size=1,colour="red")


stat_sum_df <- function(fun, geom="crosbar",  ...) { 
  stat_summary(fun.data=fun, geom=geom, colour="red") 
} 

p + stat_sum_df("mean_cl_normal", geom = "smooth")

and I get the graph I have shown at the beginning.

My question is: if I have two different data frames, each one with a different variable, measured in the same sample at the same time, how I can plot the 2 graphs in the same plot? Everything I have tried ends in doing the statistics in the both sets of data or just in one of them but not in both. Is it possible just to overlay the plots?

And a second small question: is it possible to change the colour of the ribbon?

Thanks!

Upvotes: 0

Views: 2187

Answers (1)

Paulo E. Cardoso
Paulo E. Cardoso

Reputation: 5856

something like this:

library(ggplot2)
a <- data.frame(x=rep(c(1,2,3,5,7,10,15,20), 5),
                y=rnorm(40, sd=2) + rep(c(4,3.5,3,2.5,2,1.5,1,0.5), 5),
                g = rep(c('a', 'b'), each = 20))

ggplot(a, aes(x=x,y=y, group = g, colour = g)) + 
 geom_point(aes(colour = g)) +
 geom_smooth(aes(fill = g))

enter image description here

I'd suggest you reading the basics of ggplot. Check ?ggplot2 for help on ggplot but also available help topics here and particularly how group aesthetic may be manipulated. You'll find useful the discussion group at Google groups and maybe join it. Also, QuickR have a lot of examples on ggplot graphs and, obviously, here at Stackoverflow.

Upvotes: 2

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