SQUADD (version 1.22.0)

getFittedTable: Build the table of fitted values.

Description

This method creates a table containing the interpolated/fitted value of the simulation curve at the user-defined time point. Each column represents the condition and each line, the component node. It is used as basis for the Correlation Circle and the Prediction Map.

Usage

getFittedTable(object)

Arguments

object

Object of the Class SquadSimResServiceImpl.

Value

returns a matrix of size length of component x length of conditions.

Details

This method firstly interpolate the SQUAD Simulation curve with a global (linear) or local (lowess) interpolation. A local interpolation is more sensitive to change in the curve when applying perturbation or pulse.

References

(1) Cleveland, W. S. (1979) Robust locally weighted regression and smoothing scatterplots. J. Amer. Statist. Assoc. 74, 829:836. (2) Chambers, J. M. (1992) Linear models. Chapter 4 of Statistical Models in S eds J. M. Chambers and T. J. Hastie, Wadsworth And Brooks/Cole.

See Also

More specific information in getFittedTable-methods. For more informations about the input object see SquadSimResServiceImpl-class.

Examples

fpath <- system.file("extdata", package="SQUADD")
fileModel <- file.path(fpath,"data_IAA")
nm <- c("ARF(a)", "ARF(i)", "AR_Genes", "Aux/IAA", "BES1/BZR1",
 "BIN2", "BR", "BRI1-BAK1","BRR_Genes","BRX","BR_Biosynthesis","BZR1",
  "DO", "IAA", "IAA_Biosynthesis", "NGA1", "PIN", "SCFTir1",
  "StimAux", "StimBR")
t <- 50

## call constructor
obj <- simResService(
		folder=fileModel,
		time=t,
		ncolor=5,
		legend=nm,
		indexDeno=1,
		method="lowess")

## Apply method 
tab <- getFittedTable(obj)