Corticotrophin: An assay of corticotrophin by subcutaneous injection in rats

In pla: Parallel Line Assays

Description

5.1.1. TWO-DOSE MULTIPLE ASSAY WITH COMPLETELY RANDOMIZED DESIGN

Usage

data("Corticotrophin")

Details

From Ph.Eur.:

The standard preparation is administered at 0.25 and 1.0 unit per 100 g of body mass. 2 preparations to be examined are both assumed to have a potency of 1 unit per milligram and they are administered in the same quantities as the standard. The individual responses and means per treatment are given in Table 5.1.1.-I. A graphical presentation (Figure 5.1.1.I) gives no rise to doubt the homogeneity of variance and normality of the data, but suggests problems with parallelism for preparation U.

Source

The example can also be found at CombiStats - EDQM, Council of Europe (http://combistats.edqm.eu): http://combistats.edqm.eu/content/view/186/199/

References

Chapter 5.3. Statistical analysis. In EUROPEAN PHARMACOPOEIA version 8.0, 2014; 607-635.

Examples

data(Corticotrophin); Data <- Corticotrophin

Data <- readAssayTable(paste(system.file(package = "pla"),
                             "vignettes/PhEur/data/Corticotrophin.txt",
                             sep = "/"))
plaModel <- plaCRD(Data,
                   assayTitle =
                "PhEur: Corticotrophin; Subcutaneous Injection In Rats")
plaModel
plots    <- plot(plaModel, plots = "all", mfrow = c(3, 4))

# A few plots you cannot ask for in 'pla.plots' and 'plot':

cbbPalette <- c("#000000", "#009E73", "#e79f00", "#9ad0f3",
                "#0072B2", "#D55E00", "#CC79A7", "#F0E442")

pchs <- 14 + as.numeric(plots$data[,"Replicate"])
colors <- c("grey", "blue", "red")[as.numeric(plots$data[, "Sample"])]
colors <- colors <- c("grey", cbbPalette[2:3])[as.numeric(plots$data[, "Sample"])]

# Boxplot af residuals by replicate:
plot(Residual ~ factor(plots$data[,"Replicate"]), pch = pchs, col = colors,
     xlab = "Replicate", ylab = "Residuals, Restricted model", 
     cex.lab = 0.75, sub = "Restricted Model", data = plots$data)

# Boxplot of residuals by dose:
plot(Residual ~ factor(Z), pch = pchs, col = colors,
     xlab = "Dose", ylab = "Residuals, Restricted model", 
     cex.lab = 0.75, sub = "Restricted Model", data = plots$data)

pla documentation built on May 2, 2019, 11:12 a.m.