Extract results from multiple pickle files
Source:R/extract_results_from_pickle.R
extract_results_from_pickles.Rd
Extract results from multiple pickle files
Usage
extract_results_from_pickles(
n_s = 1,
dataset_name = "sample_data",
output_folder = "output",
rda_filename = "data.RData",
basename = paste0(dataset_name, "_subtype", n_s - 1),
picklename = paste0(basename, ".pickle"),
format_results = TRUE,
subtype_order = seq_len(n_s),
use_rds = TRUE,
save_rds = format_results & identical(subtype_order, seq_len(n_s)),
verbose = FALSE,
...
)
Arguments
- n_s
number of latent subgroups; helps construct
picklename
- dataset_name
root name of dataset
- output_folder
where to find the dataset
- rda_filename
name of rda file containing environment used to run analyses
- basename
base of pickle file name (without
.pickle
suffix)- picklename
the name of the pickle file to open
- format_results
whether to apply
format_results_list()
to results before returning- subtype_order
an integer vector of length
n_s
, indicating how to order the subtypes- use_rds
logical whether to use previously cached results
- save_rds
a logical indicating whether to save new cached results
- verbose
whether to print messages
- ...
Arguments passed on to
format_results_list
format_sst
should the subtype and stage table be formatted? (doesn't work for cross-validation fold pickle-files)