calibPlane: Calculates regression plane for external standard...

In transmem: Treatment of Membrane-Transport Data

Description

A bivariated regression plane for external standard calibration is calculated to later convert signals into concentration values. It differs from calibCurve in the number of explanatory variables, 2 in this case. This function is useful when some interference effect is being considered such as the magnification of the interest species signal due to the presence of another (known) species in the same sample.

Usage

calibPlane(plane, badpoint = NULL, plot = TRUE, lines = 13, theta = -30,
  phi = 40, xlab = "Species 1", ylab = "Species 2", zlab = "Signal",
  pch = 18, cex = 2)

Arguments

plane	Data frame of numeric vectors named 'Conc', 'Conc.S' and 'Signal'. The vectors must contain the concentrations of the main species (the one whose concentration in the samples is to be known) and the secondary species (the interferent), and the standard's signals, respectively.
badpoint	Numeric vector with the points to be ignored in the regresion. This allows the easy elimination of outliers without losing the stored measurement information.
plot	Logical. If TRUE, the default, the calibration data is plotted.
lines	Number of lines to use in the mesh of the plane in the plot.
theta	Azimuthal angle at which the plane is visualized.
phi	Altitude angle at which the plane is visualized.
xlab	Label for X axis (main species concentration).
ylab	Label for Y axis (secondary species concentration).
zlab	Label for Z axis (response).
pch	Plotting symbols available in R.
cex	The size of pch symbols.

Details

A linear method (i.e lm()) is applied to obtain the regression equation. The user must verify model assumptions such as normal distribution of residuals.

Value

Model of the calibration plane

Author(s)

Cristhian Paredes, [e-mail]

Eduardo Rodriguez de San Miguel, [e-mail]

Examples

  data(planelithium)
  planeModel <- calibPlane(plane = planelithium)
  summary(planeModel$model)

transmem documentation built on July 1, 2020, 10:38 p.m.