rmse.by.year: Root mean squared error (rmse) by year

In USGS-R/trainR: Example package for learning how to develop R packages.

Description

calculates the rmse between predicted and observed values for each year in a dataset.

Usage

rmse.by.year(df)

Arguments

df	data frame with columns named "year", "obs", and "pred".

Value

returns a rmse value for each year

Examples

year <- c(rep(1,25),rep(2,25),rep(3,25))
obs <- c(1:75)
e <- c(rnorm(n=25,mean=0,sd=2),rnorm(n=25,mean=0,sd=10),rnorm(n=25,mean=0,sd=50))
pred <- obs + e
df <- data.frame(year,obs,pred)
rmse.by.year(df)

USGS-R/trainR documentation built on May 6, 2019, 10:12 a.m.