rmse_per: RMSE of an estimator in percentage

In forestmangr: Forest Mensuration and Management

RMSE of an estimator in percentage

Description

Function for calculating the Root-Mean-Square-Error of an estimator.

Usage

rmse_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

Details

Function for calculating the Root-Mean-Square-Error of an estimator, given the observed values, and the estimated values.

Value

Numeric vector with the RMSE value, in percentage.

Author(s)

Sollano Rabelo Braga [e-mail]

See Also

other statistics to evaluate estimators: bias_per for the bias of an estimator

Examples

library(forestmangr)
data("exfm11")
head(exfm11)

# RMSE of an estimator, given the data frame and quoted variable names:
rmse_per(exfm11, "TH", "TH_EST3")

# RMSE of an estimator, given the vectors for observed and estimated values:
rmse_per(y = exfm11$TH, yhat = exfm11$TH_EST3)

forestmangr documentation built on Nov. 24, 2023, 1:07 a.m.