fitprobit: Fit a Probit Regression to Dose-Effect Data
In JVAdams/LW1949: An Automated Approach to Evaluating Dose-Effect Experiments Following Litchfield and Wilcoxon (1949)
Description
Usage
Arguments
Details
Value
Examples
Description
Fit a probit regression to dose-effect data, using the log10 of the dose as
the response.
Usage
1
fitprobit(dat)
Arguments
dat
A data frame of toxicity data, including at least three variables:
dose (the concentration of the tested chemical),
ntot (the number of individuals tested), and
nfx (the number of affected individuals).
Details
Only those rows with dose > 0, ntot > 0, and nfx >= 0
are used in fitting the model.
Value
A an object of class glm.
Examples
1
2
3
4
5
toxdat <- data.frame(
dose=c(0.05, 0.0625, 0.125, 0.25, 0.5, 1),
ntot=rep(8, 6),
nfx = c(0, 1, 4, 4, 6, 8))
fitprobit(toxdat)
JVAdams/LW1949 documentation built on May 7, 2019, 10:14 a.m.
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Description Usage Arguments Details Value Examples
Description
Fit a probit regression to dose-effect data, using the log10 of the dose as the response.
Usage
1 | fitprobit(dat)
|
Arguments
dat |
A data frame of toxicity data, including at least three variables: dose (the concentration of the tested chemical), ntot (the number of individuals tested), and nfx (the number of affected individuals). |
Details
Only those rows with dose > 0, ntot > 0, and nfx >= 0
are used in fitting the model.
Value
A an object of class glm.
Examples
1 2 3 4 5 | toxdat <- data.frame(
dose=c(0.05, 0.0625, 0.125, 0.25, 0.5, 1),
ntot=rep(8, 6),
nfx = c(0, 1, 4, 4, 6, 8))
fitprobit(toxdat)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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