bias_per | R Documentation |
Function for calculating the bias of an estimator.
bias_per(df, y, yhat, na.rm = TRUE)
df |
a data frame. |
y |
Quoted name of the variable representing the observed values in the data frame. If a data frame is not provided, |
yhat |
Quoted name of the variable representing the estimated values in the data frame. If a data frame is not provided, |
na.rm |
a logical value indicating whether NA values should be stripped before the computation proceeds. default: |
Function for calculating the bias of an estimator, given the observed values, and the estimated values.
Numeric vector with the bias value, in percentage.
Sollano Rabelo Braga sollanorb@gmail.com
other statistics to evaluate estimators:
rmse_per
for the Root mean square error of an estimator
library(forestmangr)
data("exfm11")
head(exfm11)
# Bias of an estimator, given the data frame and quoted variable names:
bias_per(exfm11, "TH", "TH_EST3")
# Bias of an estimator, given the vectors for observed and estimated values:
bias_per(y = exfm11$TH, yhat = exfm11$TH_EST3)
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