LW1949: An Automated Approach to Evaluating Dose-Effect Experiments Following Litchfield and Wilcoxon (1949)
Version 1.1.0

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

AuthorJean V. Adams [aut, cre]
Date of publication2017-03-20 17:34:16 UTC
MaintainerJean V. Adams <jvadams@usgs.gov>
LicenseGPL
Version1.1.0
URL https://github.com/JVAdams/LW1949
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("LW1949")

Getting started

Introduction to LW1949"

Popular man pages

fxcat: Define Effect Category
invprobit: Convert Probit Scale to Proportions
keeponly: Eliminate Consecutive Extreme Values
LW1949: Automated Litchfield and Wilcoxon (1949) Evaluation of...
LWestimate: Generate Litchfield and Wilcoxon Estimates
plotDELP: Plot Dose-Effect Experiments
predLinesLP: Add Litchfield and Wilcoxon Predictions to a Plot
See all...

All man pages Function index File listing

Man pages

assessfit: Assess Fit of Dose-Response Curve
coefprobit: Calculate the Coefficients of a Probit Regression Fit
constrain: Constrain Data to a Specified Range
correctval: Predict the Corrected Proportional Effect
dataprep: Prepare Data
estimable: Determine if a Dose-Effect Relation is Estimable
fill: Fill in Missing Values
fitHand: Best Fit Using Estimated Expected Effects
fitlinear: Determine Linear Regression Coefficients from Dose-Effect...
fitLWauto: Best Fit Using Litchfield and Wilcoxon Evaluation of...
fitprobit: Fit a Probit Regression to Dose-Effect Data
fxcat: Define Effect Category
gamtable1: Fit a smooth GAM to Table 1 of Litchfield and Wilcoxon (1949)
invprobit: Convert Probit Scale to Proportions
keeponly: Eliminate Consecutive Extreme Values
LW1949: Automated Litchfield and Wilcoxon (1949) Evaluation of...
LWchi2: Chi-Squared Statistic
LWestimate: Generate Litchfield and Wilcoxon Estimates
LWnomo1: Recreate Litchfield and Wilcoxon's Nomograph No. 1
LWP: User Friendly Evaluation of Dose-Effect Experiments using...
nomoCoord: Find the Coordinate from the Scale of a Nomograph
plotDE: Plot Dose-Effect Experiments
plotDELP: Plot Dose-Effect Experiments
predlinear: Determine the Effective Dose from a Linear Regression Fit
predLines: Add Litchfield and Wilcoxon Predictions to a Plot
predLinesLP: Add Litchfield and Wilcoxon Predictions to a Plot
predprobit: Determine the Effective Dose from a Probit Regression Fit
prettylog: Pretty Breakpoints on Log Scale
probit: Convert Proportions to the Probit Scale
relPotency: Relative Potency of Two Toxins

Functions

Files

inst
inst/CITATION
inst/DemoApp
inst/DemoApp/LW1949Interactive.Rmd
inst/doc
inst/doc/Intro.R
inst/doc/Intro.Rmd
inst/doc/Intro.html
tests
tests/testthat.R
tests/testthat
tests/testthat/test-dataprep.R
tests/testthat/test-predprobit.R
tests/testthat/test-fitLW.R
tests/testthat/test-fxcat.R
tests/testthat/test-keeponly.R
tests/testthat/test-fitprobit.R
tests/testthat/test-correctval.R
tests/testthat/test-estimable.R
tests/testthat/test-chi2.R
tests/test-all.R
NAMESPACE
NEWS.md
R
R/LWestimate.R
R/LWnomo1.R
R/fitHand.R
R/nomoCoord.R
R/fill.R
R/fitLWauto.R
R/prettylog.R
R/fitlinear.R
R/gamtable1.R
R/assessfit.R
R/invprobit.R
R/keeponly.R
R/estimable.R
R/LW1949-package.R
R/fxcat.R
R/coefprobit.R
R/plotDE.R
R/predlinear.R
R/dataprep.R
R/predLinesLP.R
R/predLines.R
R/constrain.R
R/predprobit.R
R/relPotency.R
R/probit.R
R/plotDELP.R
R/correctval.R
R/fitprobit.R
R/LWP.R
R/LWchi2.R
vignettes
vignettes/Intro.Rmd
MD5
build
build/vignette.rds
DESCRIPTION
man
man/LWchi2.Rd
man/fitlinear.Rd
man/dataprep.Rd
man/probit.Rd
man/coefprobit.Rd
man/estimable.Rd
man/nomoCoord.Rd
man/fitprobit.Rd
man/constrain.Rd
man/relPotency.Rd
man/predprobit.Rd
man/predLinesLP.Rd
man/fitLWauto.Rd
man/correctval.Rd
man/keeponly.Rd
man/LWnomo1.Rd
man/prettylog.Rd
man/LWP.Rd
man/assessfit.Rd
man/fxcat.Rd
man/invprobit.Rd
man/LWestimate.Rd
man/predlinear.Rd
man/gamtable1.Rd
man/fill.Rd
man/plotDE.Rd
man/LW1949.Rd
man/fitHand.Rd
man/predLines.Rd
man/plotDELP.Rd
LW1949 documentation built on May 19, 2017, 6 p.m.

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