w2 {MonoPoly} | R Documentation |
Simulated data from the function
y_ij = 4 π - x_i + cos(x_i - π/2) + e_ij
for x_i = 0,1, … , 12 ; n_i = 5 for i=0 and n_i=3 otherwise; e_ij ~ N(0, 0.5^2)
A data frame with 41 observations on the following 2 variables.
y
a numeric vector
x
a numeric vector
Murray, K., Müller, S. and Turlach, B.A. (2013). Revisiting fitting monotone polynomials to data, Computational Statistics 28(5): 1989–2005, doi: 10.1007/s00180-012-0390-5.
str(w2) plot(y~x, w2) monpol(y~x, w2) monpol(y~x, w2, K=2)