Calculates sample concentrations using sigmoid model fit

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Description

Calculates sample concentrations of a RPPA data set, as wrapper for curveFitSigmoid.

Usage

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calcLogistic(x, sample.id = c("sample", "sample.n"), dilution = "dilution",
xVal = NULL, plot = F, detectionLimit = F)

Arguments

x

x List containing RPPA data set

sample.id

character vector refering to column names from which samples can be separated

dilution

column name from the column in feature data that describes the dilution steps of each sample

xVal

defines the dilution value for which the concentration is calulated. If null the highest dilution value is used

plot

logical. If true dilution curves are plotted

detectionLimit

logical. If true model is fitted on dilution steps above the detection limit. If false, all data points are used to fit the model

Value

expression

matrix with protein expression data

dummy

matrix with protein expression data

arraydescription

data frame with feature data

sampledescription

data frame with pheno data

Author(s)

Heiko Mannsperger <h.mannsperger@dkfz.de>, Stephan Gade <s.gade@dkfz.de>

Examples

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library(RPPanalyzer)
data(ser.dil.samples)

predicted.data <- calcLogistic(ser.dil.samples, sample.id=c("sample","sample.n"),
dilution="dilution")

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