Connecting across missing values with geom_line
ggplot2, r
Solution
Richie's answer is very thorough, but I wanted to show something simpler. Since lines are not drawn to `NA` points, another approach is drop these points when drawing lines. This implicitly makes a linear interpolation between points (as straight lines do).
Using `dfr` from Richie's answer, without needing the calculation of `z` step:
ggplot(dfr, aes(x,y)) +
geom_point() +
geom_line(data=dfr[!is.na(dfr$y),])
For that matter, in this case the subsetting could be done for the whole thing.
ggplot(dfr[!is.na(dfr$y),], aes(x,y)) +
geom_point() +
geom_line()
Problem
I'm trying to figure out if it's possible to connect across missing values using geom_line. For example, in the link below there are missing values at time 3 in facet F. I'd like a line to connect time 2 and 4 in that case. Is there a way to achieve this? https://farm8.staticflickr.com/7061/6964089563_b150e0c2a6.jpg I have a data frame of cumulative values like so: ``` head(cumulative) individual series Time Value 1 A x 1 -1.008821 2 A x 2 -2.273712 3 A x 3 -3.430610 4 A x 4 -4.618860 5 A x 5 -4.893075 6 A x 6 -5.836532 ``` Which I'm plotting with: ``` ggplot(cumulative, aes(x=Time,y=Value, shape=series)) + geom_point() + geom_line(aes(linetype=series)) + facet_wrap(~ individual, ncol=3) ```