minSigCor
is a helper function that estimates the minimum
significant correlation for a smaple size n
at a confidence level
defined by the argument alpha
.
1 |
n |
sample size or the length of a timeseries vector. |
alpha |
confidence level: the default is |
r |
a vector of values from |
minSigCor
function estimates the minimum significant correlation
for a sample size (number of observations or temporal points in a timeseries)
at a certain confidence level selected by the argument alpha
and an
optional search range r
. It is called by validClimR
function objective tree cut based on the specified confidence level.
A positive value beween 0
and 1
for the estimated the minimum
significant correlation.
Hamada Badr <badr@jhu.edu>, Ben Zaitchik <zaitchik@jhu.edu>, and Amin Dezfuli <dez@jhu.edu>.
Hamada S. Badr, Zaitchik, B. F. and Dezfuli, A. K. (2015): A Tool for Hierarchical Climate Regionalization, Earth Science Informatics, 1-10, http://dx.doi.org/10.1007/s12145-015-0221-7.
Hamada S. Badr, Zaitchik, B. F. and Dezfuli, A. K. (2014): Hierarchical Climate Regionalization, CRAN, http://cran.r-project.org/package=HiClimR.
HiClimR
, validClimR
, geogMask
,
coarseR
, fastCor
, grid2D
, and
minSigCor
.
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Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
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