ELISA Test Absorbance for HIV Positive Controls

This dataset contains measurements of light absorbance for positive control samples from an ELISA (Enzyme-Linked Immunosorbent Assay) test for HIV. Data are pulled from table 5-14 of the referenced source.

The dataset is an example of a two-factor experimental design with nested factors. The experiment involved five different production lots. For each lot, five individual runs of the test were performed. Within each run, absorbance readings were recorded for three positive control samples. As such the Sample factor is nested under the Run factor which is itself nested under the lot factor.

Usage

feav5_14

Format

A data.frame with 75 rows and the following columns:

Lot

A character indicating the specific production lot of the ELISA test A, B, C, D, or E.

Run

A character representing the individual test runs. Run is nested within Lot, meaning Run 1 for Lot A is distinct from Run 1 for Lot B.

Sample

A character specifying the sample. There are three replicate samples per run.

Absorption

A numeric vector representing the light absorbance readings (in arbitrary units) for the positive control samples. This is the response variable.

Source

Hoaglin, D. C., Mosteller, F., & Tukey, J. W. (1991). Fundamentals of Exploratory Analysis of Variance. Wiley.

Examples

# Partition response variable across ALL factors. Residuals should be 0.
M0 <- eda_mean_sweep(feav5_14, Absorption, Lot, Run, Sample,
                     nesting = list(c("Lot", "Run"), c("Run","Sample")))
plot(M0, rotate = TRUE)