Given data defining a Lag-lead window, returns respective plot as a ggplot2 object.

gg_laglead(x, ...)

# S3 method for default
gg_laglead(x, tz, ll_fun, ...)

# S3 method for LL_df
gg_laglead(
  x,
  high_col = "grey20",
  low_col = "whitesmoke",
  grid_col = "lightgrey",
  ...
)

# S3 method for nested_fdf
gg_laglead(x, ...)

Arguments

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.

See also

get_laglead

Examples

## 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)