pred_resid

pred_resid

pred_resid(df, time = "time", pred = "pred", resid = "resid", by_time = 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 predicted variable

resid

Character string containing the name of residual variable

by_time

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

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$Y, 0, 0.1)
m <- mgcv::gam(density ~ 0 + as.factor(year) + s(X, Y), data = d)
d$resid <- resid(m)
# the default names match, with the exception of year -- so change it
pred_resid(d, time = "year")
#> `geom_smooth()` using method = 'loess' and formula 'y ~ x'

# }