View source: R/import_model_data_et_al.R
| import_model_data | R Documentation | 
All models will start with a matrix of ranked features, and the feature values of the features. This fxn orders the features, pulls out the top x and outputs disc and validation dataset matrices with the correct indep and dep variables. This function has the option to specify certain features or to pull the top x feature from a columns ranks file.
import_model_data(
  import_paths,
  df_filters = c(),
  ranks_feature_path = NULL,
  ranks_clm = NULL,
  ranks_count = NULL,
  set_clm = "Set",
  sample_key = binfotron::get_default_sample_key(),
  indep_vars = NULL,
  clinical_vars = NULL,
  dep_vars = NULL
)
| import_paths | Vector of paths to import and merge | 
| df_filters | Character vector to be parsed in a loop using  | 
| ranks_feature_path | Path to data matrix with feature names in one column and ranks in another. | 
| ranks_clm | String to indicate which column contains the column ranks | 
| ranks_count | Integer to indicate how many features to take from the column ranks | 
| set_clm | Column name to indicate which samples are in "Validation" vs "Discovery" sets | 
| sample_key | Column name to use as the sample key to merge all matrices | 
| indep_vars | Character string of column names for the independent variables | 
| clinical_vars | Character string of column names for the clinical variables. These will be added on in addition to the indep_vars. | 
| dep_vars | Character string of column names for the dependent variables | 
| merge_file_patterns | Character vector of file patterns to look for and merge to make the final output matrices | 
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ import_model_data ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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