View source: R/sperrorest_misc.R
dataset_distance | R Documentation |
dataset_distance
calculates Euclidean nearest-neighbour
distances between two point datasets and summarizes these distances using
some function, by default the mean.
dataset_distance(
d1,
d2,
x_name = "x",
y_name = "y",
fun = mean,
method = "euclidean",
...
)
d1 |
a |
d2 |
see |
x_name |
name of column in |
y_name |
same for y coordinates |
fun |
function to be applied to the vector of nearest-neighbor
distances of |
method |
type of distance metric to be used; only |
... |
additional arguments to |
Nearest-neighbour distances are calculated for each point in d1
,
resulting in a vector of length nrow(d1)
, and fun
is applied to this
vector.
depends on fun
; typically (e.g., mean
) a numeric vector
of length 1
add.distance
df <- data.frame(x = rnorm(100), y = rnorm(100))
dataset_distance(df, df) # == 0
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