confint.cal: Confidence intervals for calibration curve parameters

In quantchem: Quantitative chemical analysis: calibration and evaluation of results

Description

Computes confidence intervals for parameters in a calibration fitted model.

Usage

## S3 method for class 'cal'
confint(object, parm, level = 0.95, sort.models = FALSE, ...)

Arguments

object	an object of class 'lmcal' or 'nlscal' (inheriting from 'cal')
parm	ignored in this case
level	confidence level of intervals
sort.models	should the intervals be sorted by models, or variable names
...	additional arguments (ignored)

Value

A matrix containing upper and lower bounds for confidence interval is returned.

Author(s)

Lukasz Komsta

See Also

lmcal, nlscal

Examples

data(nitrate)
attach(nitrate)
fit = lmcal(conc,area)
confint(fit)

Example output

Loading required package: MASS
Loading required package: outliers
------------------------------------------
If you use this package, please cite the recent paper containing description of this software:
Komsta, L. Chemometric and statistical evaluation of calibration curves in pharmaceutical analysis 
           - a short review on trends and recommendations. J. AOAC Int. 2012, 95, 3, 669-672.
------------------------------------------
There were 21 warnings (use warnings() to see them)
              2.5 %        97.5 %
x0 P1 -1.205456e+03 -5.851624e+02
x0 P2 -1.460545e+03 -5.125052e+02
x0 P3 -1.937655e+03 -6.551198e+02
x0 P4 -2.752575e+03 -9.627980e+02
x0 R1 -7.683527e+02 -6.234779e+02
x0 R2 -8.049966e+02 -6.040567e+02
x0 R3  1.942194e+03  2.246739e+03
x0 R4 -1.792286e+03 -1.226283e+03
x0 bx  6.998777e+03  9.319375e+03
x0 by -8.049881e+02  8.896740e+02
x0 l1  3.906954e+00  3.929270e+00
x0 l2  3.903190e+00  3.931771e+00
x0 p1 -3.714761e+03 -7.102601e+02
x0 p2 -2.909084e+03  9.876081e+02
x0 p3 -2.670575e+03  2.655024e+03
x0 p4 -3.546370e+03  5.523533e+03
x0 r1 -2.021651e+03 -1.130172e+03
x0 r2 -1.179001e+03 -1.441828e+02
x0 r3 -7.961542e+02  9.160162e+02
x0 r4 -7.580834e+02  2.673233e+03
x1 P1  8.794829e+03  9.321414e+03
x1 P2  8.686455e+03  9.632240e+03
x1 P3  8.820297e+03  1.028914e+04
x1 P4  9.178676e+03  1.161590e+04
x1 R1  8.880849e+03  9.003837e+03
x1 R2  8.641039e+03  8.841501e+03
x1 R3  7.218883e+03  7.567667e+03
x1 R4  9.683223e+03  1.045398e+04
x1 bx  8.490886e+03  8.680214e+03
x1 by  6.268998e+03  6.407393e+03
x1 l1  1.019376e+00  1.044080e+00
x1 l2  9.899732e-01  1.080201e+00
x1 p1  9.105266e+03  9.350629e+03
x1 p2  8.479186e+03  9.282959e+03
x1 p3  7.205364e+03  9.456723e+03
x1 p4  3.963179e+03  1.088555e+04
x1 r1  9.089933e+03  9.162736e+03
x1 r2  8.648024e+03  8.861476e+03
x1 r3  7.914577e+03  8.638385e+03
x1 r4  6.136473e+03  8.755337e+03
x2 P2 -7.009948e+01  4.095085e+01
x2 P3 -2.681762e+02  4.077309e+01
x2 P4 -8.479234e+02 -2.161011e+01
x2 R2  7.797658e+00  3.133513e+01
x2 R3  1.358928e+02  2.092544e+02
x2 R4 -4.822863e+02 -2.209713e+02
x2 l2 -3.383747e-02  2.895467e-02
x2 p2 -1.523292e+00  2.839694e+01
x2 p3 -4.188318e+01  1.878463e+02
x2 p4 -4.100666e+02  9.206915e+02
x2 r2  1.807989e+01  2.602561e+01
x2 r3  4.539682e+01  1.192544e+02
x2 r4  1.993906e-01  5.036504e+02
x3 P3 -2.049163e+00  1.089466e+01
x3 P4 -3.077801e+00  7.922608e+01
x3 R3 -5.779823e+00 -2.706244e+00
x3 R4  1.837434e+01  4.440229e+01
x3 p3 -4.574756e+00  1.433552e+00
x3 p4 -5.821612e+01  3.043694e+01
x3 r3 -2.939689e+00 -1.008029e+00
x3 r4 -3.045814e+01  3.080990e+00
x4 P4 -1.993392e+00  1.897013e-01
x4 R4 -1.092215e+00 -4.018289e-01
x4 p4 -6.630623e-01  1.175247e+00
x4 r4 -9.563711e-02  5.998301e-01

quantchem documentation built on May 30, 2017, 5:28 a.m.