x0 function

x0/y0-values from orthogonal nonlinear least squares regression

Returns the ${\color{red} x_{0i}/y_{0i}}$ values as obtained from minimizing the Euclidean distance [REMOVE_ME]$\min\| D_i \| \equiv \min\sqrt{(x_i - {\color{red}x_{0i}})^2 + (y_i - {\color{red}y_{0i}})^2} [REMOVE_ME_2]$ latin1

Description

Returns the ${\color{red} x_{0i}/y_{0i}}$ values as obtained from minimizing the Euclidean distance

x0(object) 
y0(object)

Arguments

• object: an object returned from onls.

Returns

A vector of $\color{red}x_{0i}$ or $\color{red}y_{0i}$ values.

Author(s)

Andrej-Nikolai Spiess

Examples

DNase1 <- subset(DNase, Run == 1)
DNase1$density <- sapply(DNase1$density, function(x) rnorm(1, x, 0.1 * x))
mod <- onls(density ~ Asym/(1 + exp((xmid - log(conc))/scal)), 
             data = DNase1, start = list(Asym = 3, xmid = 0, scal = 1))
x0(mod)
y0(mod)