Description Usage Arguments Value Author(s) Examples
Compute all local correlation coefficients in O(n^2 log n)
1 2 3 4 5 6 7 8 9 10 11 12 13 | mgc.localcorr(
X,
Y,
is.dist.X = FALSE,
dist.xfm.X = mgc.distance,
dist.params.X = list(method = "euclidean"),
dist.return.X = NULL,
is.dist.Y = FALSE,
dist.xfm.Y = mgc.distance,
dist.params.Y = list(method = "euclidean"),
dist.return.Y = NULL,
option = "mgc"
)
|
X |
is interpreted as:
|
Y |
is interpreted as:
|
is.dist.X |
a boolean indicating whether your |
dist.xfm.X |
if |
dist.params.X |
a list of trailing arguments to pass to the distance function specified in |
dist.return.X |
the return argument for the specified
|
is.dist.Y |
a boolean indicating whether your |
dist.xfm.Y |
if |
dist.params.Y |
a list of trailing arguments to pass to the distance function specified in |
dist.return.Y |
the return argument for the specified
|
option |
is a string that specifies which global correlation to build up-on. Defaults to
|
A list contains the following:
|
consists of all local correlations within [-1,1] by double matrix index |
|
contains all local variances for X. |
|
contains all local variances for X. |
C. Shen
1 2 3 4 5 | library(mgc)
n=200; d=2
data <- mgc.sims.linear(n, d)
lcor <- mgc.localcorr(data$X, data$Y)
|
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