vecv {spm} | R Documentation |
vecv is used to calculate the variance explained by predictive models based on cross-validation. The vecv is based on the differences between the predicted values for, and the observed values of, validation samples for cross-validation. It measures the proportion of variation in the validation data explained by the predicted values obtained from predictive models based on cross-validation.
vecv(obs, pred)
obs |
observation values of validation samples. |
pred |
prediction values of predictive models for validation samples. |
a numeric number.
Jin Li
Li, J., 2016. Assessing spatial predictive models in the environmental sciences: accuracy. measures, data variation and variance explained. Environmental Modelling & Software 80 1-8.
set.seed(1234)
x <- sample(1:30, 30)
e <- rnorm(30, 1)
y <- x + e
vecv(x, y)
y <- 0.8 * x + e
vecv(x, y)