calcLogistic {RPPanalyzer} | R Documentation |
Calculates sample concentrations of a RPPA data set, as wrapper for curveFitSigmoid.
calcLogistic(x, sample.id = c("sample", "sample.n"), dilution = "dilution", xVal = NULL, plot = F, detectionLimit = F)
x |
|
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 |
expression |
matrix with protein expression data |
dummy |
matrix with protein expression data |
arraydescription |
data frame with feature data |
sampledescription |
data frame with pheno data |
Heiko Mannsperger <h.mannsperger@dkfz.de>, Stephan Gade <s.gade@dkfz.de>
library(RPPanalyzer) data(ser.dil.samples) predicted.data <- calcLogistic(ser.dil.samples, sample.id=c("sample","sample.n"), dilution="dilution")