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
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.