wrap.euclidean {Riemann} | R Documentation |
Prepare Data on Euclidean Space
Description
Euclidean space is the most common space for data analysis,
which can be considered as a Riemannian manifold with flat metric. Since
the space of matrices is isomorphic to Euclidean space after vectorization,
we consider the inputs as
-dimensional vectors.
Usage
wrap.euclidean(input)
Arguments
input |
data vectors to be wrapped as
|
Value
a named riemdata
S3 object containing
- data
a list of
matrices in
.
- size
dimension of the ambient space.
- name
name of the manifold of interests, "euclidean"
Examples
#-------------------------------------------------------------------
# Checker for Two Types of Inputs
#
# Generate 5 observations in R^3 in Matrix and List.
#-------------------------------------------------------------------
## DATA GENERATION
d1 = array(0,c(5,3))
d2 = list()
for (i in 1:5){
single = stats::rnorm(3)
d1[i,] = single
d2[[i]] = single
}
## RUN
test1 = wrap.euclidean(d1)
test2 = wrap.euclidean(d2)
[Package Riemann version 0.1.4 Index]