Description Usage Arguments Details Value Author(s) See Also Examples

The function calculates mean survival fractions for curves averaged over experimental replicates. The function is employed by function `plot.cellsurvLQfit for plotting observed means`

1 |

`X` |
A data frame which contains columns |

`S0` |
If not |

In the data frame `X`

, `Exp`

identifies the experimental replicates and may be numeric or non-numeric. `S0`

may contain plating efficiencies for each replicate, resulting from function `pes`

or from `cellsurvLQfit`

(fitted). When `S0=NULL`

, X must have a column with name `pe`

, containing the plating efficiencies.

A numerical matrix with two rows, the first row containing the survival fractions for each radiation dose, second row the standard deviations.

Herbert Braselmann

`pes`

, `cellsurvLQfit`

, `plot.cellsurvLQfit`

1 2 3 4 5 6 7 8 9 10 11 12 | ```
datatab <- read.table(system.file("doc", "expl1_cellsurvcurves.txt", package="CFAssay"), header=TRUE, sep="\t")
X <- subset(datatab, cline=="okf6TERT1")
S0 <- pes(X)$pe #observed plating efficiencies
length(S0)==length(unique(X$Exp)) #length ok?
names(S0) <- pes(X)$Exp
sfpmean(X, S0)
fit <- cellsurvLQfit(X)
fit$coef #contains fitted log-pe
grep("Exp",names(fit$coef))
S01 <- exp(fit$coef[1:8]) #fitted pe
sfpmean(X, S01)
## Not run: sfpmean(X) #yields an error for this data set
``` |

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