ldh: ldh

In glmtoolbox: Set of Tools to Data Analysis using Generalized Linear Models

ldh

Description

The data consists of the proportion of lactic dehydrogenase enzyme leakage obtained as a response of hepatocyte cell toxicity to the effects of different combinations of carbon tetrachloride (CCl4) and chloroform (CHCl3). Thus, the main objective of the data analysis is to evaluate the effects of CCl4, CHCl3 and their interactions on the response.

Usage

data(ldh)

Format

A data frame with 448 rows and 5 variables:

LDH

a numeric vector indicating the proportion of lactic dehydrogenase enzyme leakage, a surrogate for cell toxicity.

CCl4

a numeric vector indicating the carbon tetrachloride at 0, 1, 2.5 and 5 mM.

CHCl3

a numeric vector indicating the chloroform at 0, 5, 10 and 25 mM.

Flask

a numeric vector indicating the flask of isolated hepatocyte suspensions.

Time

a numeric vector indicating the time at 0, 0.01, 0.25, 0.50, 1, 2 and 3 hours.

Source

Gennings, C., Chinchilli, V.M., Carter, W.H. (1989). Response Surface Analysis with Correlated Data: A Nonlinear Model Approach. Journal of the American Statistical Association, 84, 805–809.

References

Vonesh E.F. (2012) Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS. Cary, NC: SAS Institute Inc.

Examples

data(ldh)
opt <- unique(ldh$CCl4)
dev.new()
par(mfrow=c(1,length(opt)))
for(i in 1:length(opt))
boxplot(LDH ~ Time, data=subset(ldh,CCl4==opt[i]), ylim=c(0,0.8), main=paste("CCl4=",opt[i]))

dev.new()
opt <- unique(ldh$CHCl3)
par(mfrow=c(1,length(opt)))
for(i in 1:length(opt))
boxplot(LDH ~ Time, data=subset(ldh,CHCl3==opt[i]), ylim=c(0,0.8), main=paste("CHCl3=",opt[i]))

glmtoolbox documentation built on Oct. 10, 2023, 9:06 a.m.