sbpiper_ps1: Main R function for SBpipe pipeline: parameter_scan1().

In pdp10/sbpiper: Data Analysis Functions for 'SBpipe' Package

Description

Main R function for SBpipe pipeline: parameter_scan1().

Usage

sbpiper_ps1(model, inhibition_only, inputdir, outputdir, run, percent_levels,
  min_level, max_level, levels_number, homogeneous_lines, xaxis_label,
  yaxis_label)

Arguments

model	the model name
inhibition_only	true if the the variable amount can only decrease
inputdir	the input directory containing the simulated data
outputdir	the output directory that will contain the simulated plots
run	the simulation number
percent_levels	true if scanning levels are in percent
min_level	the minimum level
max_level	the maximum level
levels_number	the number of levels
homogeneous_lines	true if lines should be plotted homogeneously
xaxis_label	the label for the x axis (e.g. Time (min))
yaxis_label	the label for the y axis (e.g. Level (a.u.))

Examples

data(insulin_receptor_ps1_l0)
data(insulin_receptor_ps1_l1)
data(insulin_receptor_ps1_l3)
data(insulin_receptor_ps1_l4)
data(insulin_receptor_ps1_l6)
data(insulin_receptor_ps1_l8)
data(insulin_receptor_ps1_l9)
data(insulin_receptor_ps1_l11)
data(insulin_receptor_ps1_l13)
data(insulin_receptor_ps1_l14)
data(insulin_receptor_ps1_l16)
dir.create(file.path("ps1_datasets"))
write.table(insulin_receptor_ps1_l0, 
            file=file.path("ps1_datasets",
                           "insulin_receptor_scan_IR_beta__rep_1__level_0.csv"), 
            row.names=FALSE)
write.table(insulin_receptor_ps1_l1, 
            file=file.path("ps1_datasets",
                           "insulin_receptor_scan_IR_beta__rep_1__level_1.csv"), 
            row.names=FALSE)
write.table(insulin_receptor_ps1_l3, 
            file=file.path("ps1_datasets",
                           "insulin_receptor_scan_IR_beta__rep_1__level_3.csv"), 
            row.names=FALSE)
write.table(insulin_receptor_ps1_l4, 
            file=file.path("ps1_datasets",
                           "insulin_receptor_scan_IR_beta__rep_1__level_4.csv"), 
            row.names=FALSE)
write.table(insulin_receptor_ps1_l6, 
            file=file.path("ps1_datasets",
                           "insulin_receptor_scan_IR_beta__rep_1__level_6.csv"), 
            row.names=FALSE)
write.table(insulin_receptor_ps1_l8, 
            file=file.path("ps1_datasets",
                           "insulin_receptor_scan_IR_beta__rep_1__level_8.csv"), 
            row.names=FALSE)
write.table(insulin_receptor_ps1_l9, 
            file=file.path("ps1_datasets",
                           "insulin_receptor_scan_IR_beta__rep_1__level_9.csv"), 
            row.names=FALSE)
write.table(insulin_receptor_ps1_l11, 
            file=file.path("ps1_datasets",
                           "insulin_receptor_scan_IR_beta__rep_1__level_11.csv"), 
            row.names=FALSE)
write.table(insulin_receptor_ps1_l13, 
            file=file.path("ps1_datasets",
                           "insulin_receptor_scan_IR_beta__rep_1__level_13.csv"), 
            row.names=FALSE)
write.table(insulin_receptor_ps1_l14, 
            file=file.path("ps1_datasets",
                           "insulin_receptor_scan_IR_beta__rep_1__level_14.csv"), 
            row.names=FALSE)
write.table(insulin_receptor_ps1_l16, 
            file=file.path("ps1_datasets",
                           "insulin_receptor_scan_IR_beta__rep_1__level_16.csv"), 
            row.names=FALSE)
sbpiper_ps1(
       model="insulin_receptor_scan_IR_beta", 
       inhibition_only=FALSE,
       inputdir="ps1_datasets", 
       outputdir="ps1_plots",
       run=1,
       percent_levels=TRUE, 
       min_level=0, 
       max_level=250, 
       levels_number=10,
       homogeneous_lines=FALSE,
       xaxis_label="Time [m]", 
       yaxis_label="Level [a.u.]")

pdp10/sbpiper documentation built on May 17, 2019, 11:17 p.m.