I am looking to add a curve to my plot to show an exponential decrease over time. Ive plotted two small sets of data with the basic plot() function and just for clarity I wanted to add a smoothed line. The data points for the two datasets are
1.00000 0.37360 0.27688 0.22992 0.17512 0.13768 0.08048
1.00000000 0.44283122 0.30871143 0.23647913 0.22586207 0.09800363 0.06206897
with the x values showing the decay over time (0,1,2,3,4,5,6)
I like to use ggplot2 as it makes adding lines from fitted models so simple.
Without to much to go on the following may help you out....
#prepare the data
y <- c(1.00000, 0.37360, 0.27688, 0.22992, 0.17512, 0.13768, 0.08048,
1.00000000, 0.44283122, 0.30871143, 0.23647913, 0.22586207, 0.09800363, 0.06206897)
x <- c(0,1,2,3,4,5,6,0,1,2,3,4,5,6)
z <- c(1,1,1,1,1,1,1,0,0,0,0,0,0,0)
dat <- as.data.frame(cbind(x,y,z))
#load the library
library(ggplot2)
#plot the data
ggplot(data=dat,aes(x=x,y=y))+
#add Points with different shapes depending on factor z
geom_point(aes(shape=factor(z)))+
#Add line using non-linear regreassion
stat_smooth(method="nls",formula = y~a*exp(-x*b),method.args=list(start=c(a=2,b=2)),se=F,color="red")+
#add line using linear regression
stat_smooth(method="lm",formula = y~exp(-x),se=F,color="blue")