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Constructs a gradient or taphonomic conditions from a dataframe or list. If x is a dataframe, the first two columns are used, if x is a list the first two elements are used. The first entry is used as time/stratigraphic position, and the second as gradient/recovery probability.

Usage

gradient_from_data(x)

Arguments

x

list or data frame

Value

a function for usage as gradient or taphonomic conditions, which can be passed to apply_taphonomy or apply_niche

Examples

# water depth 2 km offshore as gradient
t = scenarioA$t_myr
l = list(t, scenarioA$wd_m[,"2km"])
f = gradient_from_data(l)
plot(t, f(t), type = "l")