CIplot: Combination index plot

In snowoflondon/CIcomputeR: Chou-Talalay Combination Index Analysis using R

Description

Takes a dataframe containing effective doses and combination indices to generate a combination index plot.

Usage

CIplot(CIdata, edvec)

Arguments

CIdata	A dataframe result from running computeCI function. It has two columns: 'ED': effective doses; 'CI': combination indices at each effective dose.
edvec	A numeric vector of length two containing the range of ED values to plot. First element is assumed to be the lower limit.

Value

A ggplot2 object containing the combination index plot.

Examples

## Not run: 
mydata_combo <- data.frame('Conc1' = c(500, 400, 300, 200, 100), 'Conc2' = c(50, 40, 30, 20, 10), 'Response' = c(0.042, 0.122, 0.259, 0.532, 0.818))

mydata_mono1 <- data.frame('Conc1' = c(500, 400, 300, 200, 100), 'Conc2' = rep(0, 5), 'Response' = c(0.024, 0.256, 0.633, 0.678, 0.932))

mydata_mono2 <- data.frame('Conc1' = rep(0, 5), 'Conc2' = c(50, 40, 30, 20, 10), 'Response' = c(0.193, 0.244, 0.563, 0.750, 0.921))

mydata <- rbind(mydata_combo, mydata_mono1, mydata_mono2)

myed <- seq(from = 0.05, to = 0.95, by = 0.05)

res <- computeCI(data = mydata, edvec = myed, frac1 = 500, frac2 = 50, viability_as_pct = FALSE)

CIplot(res, c(0.05, 0.95))


## End(Not run)

snowoflondon/CIcomputeR documentation built on Jan. 21, 2022, 6:11 p.m.