scale_loc

scale_loc

scale_loc(
  df,
  time = "time",
  pred = "pred",
  resid = "resid",
  by_time = TRUE,
  add_smooth = TRUE
)

Arguments

df

Dataframe, containing locations, time, and predictions

time

Character string containing the name of time variable

pred

Character string containing the name of prediction variable

resid

Character string containing the name of residual variable

by_time

Whether to facet by time (default = TRUE) or not

add_smooth

Whether to include a smoothed line via geom_smooth (default = TRUE)

Value

A ggplot object that can be manipulated further

Examples

# \donttest{
set.seed(2021)
d <- data.frame(
  X = runif(1000), Y = runif(1000),
  year = sample(1:10, size = 1000, replace = TRUE)
)
d$density <- rnorm(0.01 * d$X - 0.001 * d$X * d$X + d$Y * 0.02 - 0.005 * d$Y * d$Y, 0, 0.1)

m <- mgcv::gam(density ~ 0 + as.factor(year) + s(X, Y), data = d)
d$pred <- predict(m)
d$resid <- resid(m)
# the default names match, with the exception of year -- so change it
scale_loc(d, time = "year")
#> `geom_smooth()` using method = 'loess' and formula 'y ~ x'

# }