gg_laglead {pammtools} | R Documentation |
Given data defining a Lag-lead window, returns respective plot as a
ggplot2
object.
gg_laglead(x, ...) ## Default S3 method: gg_laglead(x, tz, ll_fun, ...) ## S3 method for class 'LL_df' gg_laglead( x, high_col = "grey20", low_col = "whitesmoke", grid_col = "lightgrey", ... ) ## S3 method for class 'nested_fdf' gg_laglead(x, ...)
x |
Either a numeric vector of follow-up cut points or a suitable object. |
... |
Further arguments passed to methods. |
tz |
A vector of exposure times |
ll_fun |
Function that specifies how the lag-lead matrix should be constructed. First argument is the follow up time second argument is the time of exposure. |
high_col |
Color used to highlight exposure times within the lag-lead window. |
low_col |
Color of exposure times outside the lag-lead window. |
grid_col |
Color of grid lines. |
get_laglead
## Example 1: supply t, tz, ll_fun directly gg_laglead(1:10, tz=-5:5, ll_fun=function(t, tz) { t >= tz + 2 & t <= tz + 2 + 3}) ## Example 2: extract information on t, tz, ll_from data with respective attributes data("simdf_elra", package = "pammtools") gg_laglead(simdf_elra)