Description Usage Arguments Examples
Main R function for SBpipe pipeline: parameter_scan1().
1 2 3 | sbpiper_ps1(model, inhibition_only, inputdir, outputdir, run, percent_levels,
min_level, max_level, levels_number, homogeneous_lines, xaxis_label,
yaxis_label)
|
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.)) |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 | 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.]")
|
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