calcLogistic {RPPanalyzer} | R Documentation |
Calculates sample concentrations using sigmoid model fit
Description
Calculates sample concentrations of a RPPA data set, as wrapper for
curveFitSigmoid.
Usage
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 |
expression_b |
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
library(RPPanalyzer)
data(subsetdataI)
datlogistic <- calcLogistic(subsetdataI,sample.id=c("sample","sample.n")
,dilution="dilution")
[Package
RPPanalyzer version 1.0.2
Index]