compareCurves: Compares two cell survival curves using ANOVA.

In arunangshu-github/CellSurvAssay: Clonogenic Survival Analysis in R made easy!

Compares two cell survival curves using ANOVA.

Description

It helps compare two cell survival curves using the cellsurvLQdiff function of the CFAssay package, without having the user go through the data wrangling steps necessary for that. Visit https://bioconductor.org/packages/release/bioc/html/CFAssay.html for more details about the method.

Usage

compareCurves(data, cline1, cline2, method = "ml", PEmethod = "fit")

Arguments

data	A data frame containing at least the following five columns: "cline", "Exp", "dose", "ncells", "ncolonies".
cline1	Name of the cell-line/group that you want to compare.
cline2	Name of another cell-line/group that you want to compare.
method	Method used for the fit. It's "ml" (maximum likelihood) by default. Can be "ls" (least squares) or "franken" (weighted least squares as described by Franken eta al.(2006)).
PEmethod	Controls the value of the plating efficiencies. "fit" calculates fitted plating efficiencies as model parameters, "fix" uses fixed ones calculated from the observed zero dose data.

Value

An object of class cellsurvLQdiff, as returned by cellsurvLQdiff.

Examples

datatab <- CASP8_data
compareCurves(datatab, "shCASP8-N", "shCASP8-B+Z+N")
compareCurves(datatab, "shCASP8-N", "shCASP8-B+Z+N", method = "ls", PEmethod = "fix")

arunangshu-github/CellSurvAssay documentation built on June 15, 2022, 6:53 a.m.