calculateEuclideanDistance: Given a 2D data structure, it calculates the euclidean...
In Irescale: Calculate and Rectify Moran's I
Description
Usage
Arguments
Details
Value
Examples
Description
calculateEuclideanDistance Computes the euclidean distance betwen all pairs of nodes provided in the input vector.
Usage
1
Arguments
data
2D data structure for latitute and longitute respectively.
Details
Computes the euclidean distance, √{(x_1-x_2)^2 + (y_1-y_2)^2}, matrix between each pair of points.
Value
Matrix, of size nrow(data) \times nrow(data), with the distance between all the pair of points.
Examples
1
2
3
fileInput <- system.file("testdata", "chen.csv", package="Irescale")
data<-loadFile(fileInput)
distM<-calculateEuclideanDistance(data$data)
Irescale documentation built on Nov. 22, 2019, 1:07 a.m.
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Description Usage Arguments Details Value Examples
Description
calculateEuclideanDistance Computes the euclidean distance betwen all pairs of nodes provided in the input vector.
Usage
1 |
Arguments
data |
2D data structure for latitute and longitute respectively. |
Details
Computes the euclidean distance, √{(x_1-x_2)^2 + (y_1-y_2)^2}, matrix between each pair of points.
Value
Matrix, of size nrow(data) \times nrow(data), with the distance between all the pair of points.
Examples
1 2 3 | fileInput <- system.file("testdata", "chen.csv", package="Irescale")
data<-loadFile(fileInput)
distM<-calculateEuclideanDistance(data$data)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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