I am new to R. Forgive me if this if this question has an obvious answer but I\'ve not been able to find a solution. I have experience with SAS and may just be thinking of t
A few years ago, I wanted to do something similar - plot individual trajectories for ~2500 participants with 1-7 measurements each. I did it like this, using plyr and ggplot2:
library(plyr)
library(ggplot2)
d_ply(dat, .var = "participant_id", .fun = function(x) {
# Generate the desired plot
ggplot(x, aes(x = phase, y = result)) +
geom_point() +
geom_line()
# Save it to a file named after the participant
# Putting it in a subdirectory is prudent
ggsave(file.path("plots", paste0(x$participant_id, ".png")))
})
A little slow, but it worked. If you want to get a sense of all participants' trajectories in one plot (like your second example - aka the spaghetti plot), you can tweak the transparency of the lines (forget coloring them, though):
ggplot(data = dat, aes(x = phase, y = result, group = participant_id)) +
geom_line(alpha = 0.3)