PearsonCorrelation: Calculate the Pearson's Correlation Coefficient for a dataset
In AndyClifton/PowerPerformance: Package to analyze wind resource and wind turbine data (developer test version)
Description
Usage
Arguments
Value
See Also
Description
PearsonCorrelation calculates the Pearson's correlation coeffcient between two variables. Any observations or predicted values that
are NA are removed. This can be considered the sum of the underprediction
Usage
1
PearsonCorrelation(y, ymod)
Arguments
y
the actual (observed) value
ymod
the modelled (predicted) value
Value
the Pearson Correlation Coefficient,. Use $statistic to access the value from the test.
See Also
AndyClifton/PowerPerformance documentation built on May 5, 2019, 6 a.m.
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Description Usage Arguments Value See Also
Description
PearsonCorrelation calculates the Pearson's correlation coeffcient between two variables. Any observations or predicted values that
are NA are removed. This can be considered the sum of the underprediction
Usage
1 | PearsonCorrelation(y, ymod)
|
Arguments
y |
the actual (observed) value |
ymod |
the modelled (predicted) value |
Value
the Pearson Correlation Coefficient,. Use $statistic to access the value from the test.
See Also
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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