Reputation: 89
Say I have a data that included two longitudinal variables (x1, x2)
, t
is time (years), and type
is class:
set.seed(20)
x1 = rnorm(20,5,1)
x2 = (x1 + rnorm(20))
t = rep(c(0,1,2,3), 5)
id = rep(1:5,each = 4)
type = as.factor(c(rep(0,8), rep(1,12)))
df = data.frame(id, t, x1, x2, type)
Is it possible to plot x1
and x2
agnist t
in one plot? Actually, I am trying to see the relationship between x1
and x1
(but here use rnorm to make it easy) by modified the correlation matrix.
Upvotes: 0
Views: 782
Reputation: 91
Not sure how you want to treat the ID variable, but maybe try this?
require(reshape)
df <- reshape::melt(df, id.vars = c('id', 't', 'type'))
ggplot(df, aes(x = t, y = value, color = variable)) +
geom_line() +
facet_wrap(~id)
Upvotes: 1