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A dataset for illustrating univariate non-parametric boundary regressions and various constraints.
univariate
A data frame with 50 observations of two variables.
Input
Output
Generated with the following code:
set.seed(100)N <- 50 x <- runif(N, 10, 100) y <- sapply(x, function(x) 500 * x^0.25 - dnorm(x, mean = 70, sd = 10) * 8000) - abs(rnorm(N, sd = 20)) y <- y - min(y) + 10 df <- data.frame(x, y)
N <- 50 x <- runif(N, 10, 100) y <- sapply(x, function(x) 500 * x^0.25 - dnorm(x, mean = 70, sd = 10) * 8000) - abs(rnorm(N, sd = 20)) y <- y - min(y) + 10 df <- data.frame(x, y)