geoBayes (version 0.5.1)

stackdata: Combine data.frames

Description

Combine data.frames

Usage

stackdata(..., fillwith = NA, keepclass = FALSE)

Arguments

...

data.frames or objects that can be coerced to data.frames

fillwith

Which value to use for missing variables. This could be a scalar, a named vector, or a named list with one value in each component; see Details.

keepclass

Whether to preserve the class of each variable. The elements in fillwith are coerced to the corresponding variable's class.

Value

A stacked data.frame.

Details

This function combines data.frames by filling in missing variables. This is useful for combining data from sampled locations with prediction locations.

If fillwith is a named object, its names must correspond to the names of variables in the data frames. If a variable is missing, then it is filled with the corresponding value in fillwith. fillwith can contain only one unnamed component which corresponds to the default filling.

Examples

# NOT RUN {
d1 <- data.frame(w = 1:3, z = 4:6 + 0.1)
d2 <- data.frame(w = 3:7, x = 1:5, y = 6:10)
(d12a <- stackdata(d1, d2))
lapply(d12a, class)
(d12b <- stackdata(d1, d2, fillwith = c(x = NA, y = 0, z = -99)))
lapply(d12b, class)
(d12c <- stackdata(d1, d2, fillwith = c(x = NA, y = 0, z = -99),
                   keepclass = TRUE))
lapply(d12c, class)
(d12d <- stackdata(d1, d2, fillwith = c(x = NA, 0)))

data(rhizoctonia)
predgrid <- mkpredgrid2d(rhizoctonia[c("Xcoord", "Ycoord")],
                         par.x = 100, chull = TRUE, exf = 1.2)
rhizdata <- stackdata(rhizoctonia, predgrid$grid)
# }