R2_sign: Critical value of determined correlation
In phenofit: Extract Remote Sensing Vegetation Phenology
R2_sign R Documentation
Critical value of determined correlation
Description
Critical value of determined correlation
Usage
R2_sign(n, NumberOfPredictor = 2, alpha = 0.05)
Arguments
n
length of observation.
NumberOfPredictor
Number of predictor, including constant.
alpha
significant level.
Value
F statistic and R2 at significant level.
References
Chen Yanguang (2012), Geographical Data analysis with MATLAB.
Examples
R2_critical <- R2_sign(30, NumberOfPredictor = 2, alpha = 0.05)
phenofit documentation built on Feb. 16, 2023, 6:21 p.m.
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| R2_sign | R Documentation |
Critical value of determined correlation
Description
Critical value of determined correlation
Usage
R2_sign(n, NumberOfPredictor = 2, alpha = 0.05)
Arguments
n |
length of observation. |
NumberOfPredictor |
Number of predictor, including constant. |
alpha |
significant level. |
Value
F statistic and R2 at significant level.
References
Chen Yanguang (2012), Geographical Data analysis with MATLAB.
Examples
R2_critical <- R2_sign(30, NumberOfPredictor = 2, alpha = 0.05)
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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