sim_curve: Generate data from quadratic curve

In kmaurer/teaTasteR:

Description

Function to simulate from quadratic curve

Usage

sim_curve(n, b0, b1, b2, sd = 1, range = c(-3, 3))

Arguments

n	sample size
b0	intercept of curve
b1	first order poly term
b2	second order poly term
sd	standard deviation for random noise around curve
range	range of x values over which to generate data

Value

dataframe of simulated x,y pairs

Examples

curve_dat <- sim_curve(n=100, b0=0, b1=0, b2=.3, sd=2.6, range=c(-3,3))
plot(curve_dat)
summary(lm(y ~ I(x^2), data=curve_dat))

kmaurer/teaTasteR documentation built on Jan. 22, 2020, 5:18 a.m.