Function for calculating the bias of an estimator.
bias_per(df, y, yhat, na.rm =TRUE)
Arguments
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, y can also be a numeric vector.
yhat: Quoted name of the variable representing the estimated values in the data frame. If a data frame is not provided, yhat can also be a numeric vector.
na.rm: a logical value indicating whether NA values should be stripped before the computation proceeds. default: TRUE
Returns
Numeric vector with the bias value, in percentage.
Details
Function for calculating the bias of an estimator, given the observed values, and the estimated values.
Examples
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)
See Also
other statistics to evaluate estimators: rmse_per for the Root mean square error of an estimator