Description Usage Arguments Examples
Parameter estimation pre-processing. It renames the data set columns, and applies a log10 transformation if logspace is TRUE. If all.fits is true, it also computes the confidence levels.
1 2 3 | pe_ds_preproc(filename, param.names = c(), logspace = TRUE,
all.fits = FALSE, data_point_num = 0,
fileout_param_estim_summary = "param_estim_summary.csv")
|
filename |
the dataset filename containing the fits sequence |
param.names |
the list of estimated parameter names |
logspace |
true if the data set shoud be log10-transformed. |
all.fits |
true if filename contains all fits, false otherwise |
data_point_num |
the number of data points used for parameterise the model. Ignored if all.fits is false |
fileout_param_estim_summary |
the name of the file containing the summary for the parameter estimation. Ignored if all.fits is false |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | dir.create(file.path("pe_datasets"))
data(insulin_receptor_all_fits)
write.table(insulin_receptor_all_fits,
file=file.path("pe_datasets", "all_fits.csv"),
row.names=FALSE)
pe_ds_preproc(filename=file.path("pe_datasets", "all_fits.csv"),
param.names=c('k1', 'k2', 'k3'),
logspace=TRUE,
all.fits=TRUE,
data_point_num=33,
fileout_param_estim_summary=file.path("pe_datasets", "param_estim_summary.csv"))
data(insulin_receptor_best_fits)
write.table(insulin_receptor_best_fits,
file=file.path("pe_datasets", "best_fits.csv"),
row.names=FALSE)
pe_ds_preproc(filename=file.path("pe_datasets", "best_fits.csv"),
param.names=c('k1', 'k2', 'k3'),
logspace=TRUE,
all.fits=FALSE)
|
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