## Not run:
# #generate Friedman data
# set.seed(11)
# n = 300
# p = 5
# X = data.frame(matrix(runif(n * p), ncol = p))
# y = 10 * sin(pi* X[ ,1] * X[,2]) +20 * (X[,3] -.5)^2 + 10 * X[ ,4] + 5 * X[,5] + rnorm(n)
#
# ##build BART regression model
# bart_machine = bartMachine(X, y)
#
# #check error diagnostics
# check_bart_error_assumptions(bart_machine)
# ## End(Not run)
Run the code above in your browser using DataCamp Workspace