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LW1949 (version 1.0.0)

An Automated Approach to Evaluating Dose-Effect Experiments Following Litchfield and Wilcoxon (1949)

Description

The manual approach of Litchfield and Wilcoxon (1949) for evaluating dose-effect experiments is automated so that the computer can do the work.

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Version

Install

install.packages('LW1949')

Monthly Downloads

33

Version

1.0.0

License

GPL

Issues

1

Pull Requests

0

Stars

3

Forks

0

Maintainer

Jean V Adams

Last Published

December 2nd, 2015

Functions in LW1949 (1.0.0)

keeponly

Eliminate Consecutive Extreme Values
constrain

Constrain Data to a Specified Range
fitLWauto

Best Fit Using Litchfield and Wilcoxon Evaluation of Dose-Effect Experiments
estimable

Determine if a Dose-Effect Relation is Estimable
fill

Fill in Missing Values
LWnomo1

Recreate Litchfield and Wilcoxon's Nomograph No. 1
probit

Convert Proportions to the Probit Scale
LW1949

Automated Litchfield and Wilcoxon (1949) Evaluation of Dose-Effect Experiments
fitlinear

Determine Linear Regression Coefficients from Dose-Effect Data
LWchi2

Chi-Squared Statistic
fitprobit

Fit a Probit Regression to Dose-Effect Data
plotDELP

Plot Dose-Effect Experiments
relPotency

Relative Potency of Two Toxins
nomoCoord

Find the Coordinate from the Scale of a Nomograph
assessfit

Assess Fit of Dose-Response Curve
LWestimate

Generate Litchfield and Wilcoxon Estimates
fitHand

Best Fit Using Estimated Expected Effects
predprobit

Determine the Effective Dose from a Probit Regression Fit
LWP

User Friendly Evaluation of Dose-Effect Experiments using Litchfield-Wilcoxon and Probit Methods
plotDE

Plot Dose-Effect Experiments
prettylog

Pretty Breakpoints on Log Scale
dataprep

Prepare Data
predLinesLP

Add Litchfield and Wilcoxon Predictions to a Plot
fxcat

Define Effect Category
gamtable1

Fit a smooth GAM to Table 1 of Litchfield and Wilcoxon (1949)
predLines

Add Litchfield and Wilcoxon Predictions to a Plot
coefprobit

Calculate the Coefficients of a Probit Regression Fit
correctval

Predict the Corrected Proportional Effect
invprobit

Convert Probit Scale to Proportions
predlinear

Determine the Effective Dose from a Linear Regression Fit