It helps you calculate the Dose Enhancement Ratio automatically without going through any data wrangling steps or calculation.
Arguments
- data
A data frame containing at least the following five columns: "cline", "Exp", "dose", "ncells", "ncolonies".
- control
Name of the cell-line/group that will act as control (numerator in the ratio).
- treatment
Name of the cell-line/group that will act as treatment (denominator in the ratio).
- S
The survival fraction value for which you want to calculate your DER.
- 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.
Examples
datatab <- CASP8_data
calculateDER(datatab, "shCASP8-NT", "shCASP8-N", 0.25)
#> *** Dose Enhancement Ratio ***
#>
#> control = shCASP8-NT
#> treatment = shCASP8-N
#> survival fraction = 0.25
#> method = ml
#> PEmethod = fit
#> DER = 0.945622065301553
#>
#> *** Analysis by CellSurvAssay v0.99.0 ***
calculateDER(datatab, "shCASP8-NT", "shCASP8-N", 0.25, method = "ls", PEmethod = "fix")
#> *** Dose Enhancement Ratio ***
#>
#> control = shCASP8-NT
#> treatment = shCASP8-N
#> survival fraction = 0.25
#> method = ls
#> PEmethod = fix
#> DER = 0.951520220901901
#>
#> *** Analysis by CellSurvAssay v0.99.0 ***