Bias: Bias Testing of Measured vs. Expected Results
In ryanmismith/inventoryfunctions: Forestry Inventory Functions
Bias R Documentation
Bias Testing of Measured vs. Expected Results
Description
This function calculates the mean error, mean absolute error,
RMSE, mean percent standard error, and mean percent error using
observed values as denominator and not taking abs values.
Usage
Bias(estim, measu)
Arguments
estim
Estimated Values
measu
Measured Values
Details
The length of the estimated and measured values must be equal.
Value
"mean error", "mean absolute error", "RMSE", "Mean % SE", "PB"
Author(s)
Aaron Weiskittel
ryanmismith/inventoryfunctions documentation built on Aug. 5, 2022, 2:22 a.m.
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| Bias | R Documentation |
Bias Testing of Measured vs. Expected Results
Description
This function calculates the mean error, mean absolute error, RMSE, mean percent standard error, and mean percent error using observed values as denominator and not taking abs values.
Usage
Bias(estim, measu)
Arguments
estim |
Estimated Values |
measu |
Measured Values |
Details
The length of the estimated and measured values must be equal.
Value
"mean error", "mean absolute error", "RMSE", "Mean % SE", "PB"
Author(s)
Aaron Weiskittel
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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