Evaluate Polynomials
Evaluate a univariate polynomial at x (typically a vector), that is,
compute, for a given vector of coefficients coef, the polynomial
coef[1] + coef[2]*x + ... + coef[p+1]*x^p.
polynEval(coef, x)
coef |
numeric vector. If a vector, |
x |
numeric vector or array. |
The stable Horner rule is used for evaluation.
Using the C code speeds up the already fast R code available in
polyn.eval() in package sfsmisc.
numeric vector or array, with the same dimensions as x,
containing the polynomial values p(x).
For a much more sophisticated treatment of polynomials, use the
polynom package (for example, evaluation can be done via
predict.polynomial).
polynEval(c(1,-2,1), x = -2:7) # (x - 1)^2
polynEval(c(0, 24, -50, 35, -10, 1),
x = matrix(0:5, 2,3)) # 5 zeros!Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.