resVar: Residual variance of a fitted model
In qpcR: Modelling and Analysis of Real-Time PCR Data

Description Usage Arguments Details Value Author(s) Examples

Calculates the residual variance for objects of class nls, lm, glm, drc or any other models from which coef and residuals can be extracted.

1	resVar(object)

object

a fitted model.

resVar = \frac{∑_{i=1}^n(y_i - \hat{y}_i)^2}{n - p}

where n is the number of response values and p the number of parameters in the model.

The residual variance of the fit.

Andrej-Nikolai Spiess

1 2	m1 <- pcrfit(reps, 1, 2, l5) resVar(m1)

Loading required package: MASS
Loading required package: minpack.lm
Loading required package: rgl
Loading required package: robustbase
Loading required package: Matrix
Warning messages:
1: In rgl.init(initValue, onlyNULL) : RGL: unable to open X11 display
2: 'rgl_init' failed, running with rgl.useNULL = TRUE 
3: .onUnload failed in unloadNamespace() for 'rgl', details:
  call: fun(...)
  error: object 'rgl_quit' not found 
[1] 0.006038992