ria: Radioimmunoassay Data

In nlreg: Higher Order Inference for Nonlinear Heteroscedastic Models

Description

The ria data frame has 16 rows and 2 columns.

Run of a radioimmunoassay (RIA) to estimate the concentrations of a drug in samples of porcine serum. The experiment consists of 16 observations made at 8 different drug levels with two replications at each level.

Usage

data(ria)

Format

This data frame contains the following columns:

conc

the drug concentration (ng/ml);

count

the observed percentage of radioactive gamma counts.

Source

The data were obtained from

Belanger, B. A., Davidian, M. and Giltinan, D. M. (1996) The effect of variance function estimation on nonlinear calibration inference in immunoassay data. Biometrics, 52, 158–175. Table 1, first two columns.

References

Brazzale, A. R. (2000) Practical Small-Sample Parametric Inference. Ph.D. Thesis N. 2230, Department of Mathematics, Swiss Federal Institute of Technology Lausanne. Section 5.3, Example 6.

Examples

data(ria)
attach(ria)
plot(conc, count, xlab="drug concentration (ng/ml)", ylab="gamma counts (%)")
detach()

nlreg documentation built on May 1, 2019, 9:21 p.m.