CODEWITHSUNDEEP
rplotggplot2
Chthonic Project
Chthonic Project

Reputation: 8366

How to use geom_smooth() on data that is different from the actual plotted data?

I have a line graph using ggplot2 with three lines (with variable names, say, 'A', 'B' and 'C' in my data frame). I want to add a geom_smooth using method=loess, but I want to add the regression line based on the minimum of 'B' and 'C'. Is there a way to do this?

To illustrate, here's a mock code:

names  <- c('n1', 'n2', 'n3', 'n4', 'n5')
aline  <- c(0.18, 0.21, 0.23, 0.20, 0.16)
bline  <- c(0.50, 0.40, 0.30, 0.20, 0.10)
cline  <- c(0.14, 0.20, 0.30, 0.35, 0.33)
min_bc <- c(0.14, 0.20, 0.30, 0.20, 0.10)
df <- data.frame(name, aline, bline, cline)
df.m <- melt(df)
g <- ggplot(df.m, aes(group=1, names, value, colour=variable))
g <- g + geom_line(aes(group=variable))
g <- g + geom_point(aes(colour=variable), alpha=0.4)

I want to add a regression line using aline and min_bc, without actually plotting min_bc.

Additionally, I would like to throw this in: In general, I may have some data, and I want to want to plot (in the same graph) different lines (or points, bars, etc.) using different transformations of the data. Is there any comprehensive document where I can get the broad picture of how to do such things in R/ggplot?

Upvotes: 1

Views: 6780

Answers (1)

Paul Hiemstra
Paul Hiemstra

Reputation: 60944

Normally, one sets the dataset relevant for a plot in the main call to ggplot:

ggplot(data, aes()) + geom_point()

However, you can also set the dataset individually for the geom:

ggplot(data1, aes()) + geom_point(data = data2)

Using this technique, you can precompute the dataset off which you want to plot the LOESS, and feed that to geom_smooth(). The following example confirms this hypothesis:

df1 = data.frame(x = 1:100, y = runif(100))
df2 = data.frame(x = 1:100, y = runif(100) + 1)
ggplot(df1, aes(x, y)) + geom_point() + geom_smooth(data = df2)

enter image description here

In this example, both datasets have the same column names. If this is not the case, you need to also tweak the aes setting within geom_smooth.

Do keep in mind that plotting a smoothing of another dataset than the one you plot beneath it could make things very unclear.

Upvotes: 6

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