CFAcoop (version 1.0.0)

analyze_survival: analyze_survival

Description

wrapper function for robust analysis of clonogenic survival data from the colony formation assay according to Brix et al. (2020), Radiation Oncology. Mean values are calculated and used for power regression. Resulting coefficients are used for calculation of survival fractions and corresponding uncertainty analysis.

Usage

analyze_survival(RD, name = "no name", xtreat = NULL, C = 20)

Arguments

RD

data.frame or matrix containing a table of experiment data

name

optional: experiment name (e.g. name of cell line)

xtreat

optional: treatment dose of the colonies counted in the corresponding columns of RD

C

number of colonies counted for which the survival fraction is to be calculated (default = 20))

Value

list object containing several experiments and treatments organized for convenient plotting with plot_sf

Examples

# NOT RUN {
seeded <- rep(10^(seq(1,5,0.5)),each = 3)
df.1 <- data.frame(
  "seeded" = seeded,
  "counted1" = 0.4 * seeded^1.1 * rnorm(n = length(seeded),1,0.05),
  "counted2" = 0.2 * seeded^1.125 * rnorm(n = length(seeded),1,0.05),
  "counted3" = 0.05 * seeded^1.25 * rnorm(n = length(seeded),1,0.05))
df.2 <- data.frame("seeded" = seeded,
  "counted1" = 0.5 * seeded^1.01 * rnorm(n = length(seeded),1,0.05),
  "counted2" = 0.4 * seeded^1.0125 * rnorm(n = length(seeded),1,0.05),
  "counted3" = 0.2 * seeded^1.025 * rnorm(n = length(seeded),1,0.05))
SF <- vector("list",2)
SF[[1]] <- analyze_survival(RD = df.1,
                            name = "cell line a",
                            xtreat = c(0,1,4),
                            C = 20)
SF[[2]] <- analyze_survival(RD = df.2,
                            name = "cell line b",
                            xtreat = c(0,1,4))
# }