grnn.partial {yager} | R Documentation |
The function grnn.partial
derives the partial effect of a predictor used in a GRNN
by average-out values of the rest predictors.
grnn.partial(net, i, plot = TRUE)
net |
The GRNN object generated by grnn.fit() |
i |
The ith predictor in the GRNN |
plot |
TRUE or FALSE to plot the partial effect |
A plot of the partial effect or a dataframe of the partial effect
data(iris, package = "datasets")
Y <- ifelse(iris[, 5] == "setosa", 1, 0)
X <- scale(iris[, 1:4])
gnet <- grnn.fit(x = X, y = Y)
## Not run:
grnn.partial(gnet, 1, plot = FALSE)
## End(Not run)