bru_fill_missing | R Documentation |
Computes nearest-available-value imputation for missing values in space
bru_fill_missing(
data,
where,
values,
layer = NULL,
selector = NULL,
batch_size = deprecated()
)
An infilled vector of values
## Not run:
if (bru_safe_inla()) {
points <-
sp::SpatialPointsDataFrame(
matrix(1:6, 3, 2),
data = data.frame(val = c(NA, NA, NA))
)
input_coord <- expand.grid(x = 0:7, y = 0:7)
input <-
sp::SpatialPixelsDataFrame(
input_coord,
data = data.frame(val = as.vector(input_coord$y))
)
points$val <- bru_fill_missing(input, points, points$val)
print(points)
# To fill in missing values in a grid:
print(input$val[c(3, 30)])
input$val[c(3, 30)] <- NA # Introduce missing values
input$val <- bru_fill_missing(input, input, input$val)
print(input$val[c(3, 30)])
}
## End(Not run)
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