Target factory for csv datasets import — import_dataset_csv

Creates a list of targets that track each file and import the dataset from each csv file.

Usage

import_dataset_csv_factory(
  files,
  col_ids,
  features_as_rowss,
  target_name_suffixes
)

Arguments

files: Character vector, vector of paths to the dataset csv files.
col_ids: Character vector, the name of the column in each file that contains the ID of the rows (i.e. feature IDs if value in features_as_rowss is TRUE for the corresponding dataset, or sample IDs if value in features_as_rowss is FALSE).
features_as_rowss: Logical vector, do the rows in each file correspond to features?
target_name_suffixes: Character vector, a suffix to add to the name of the targets created by this target factory for each dataset.

Value

A list of target objects. For example, with two files to import and target_name_suffixes = c("geno", "transcripto"), the factory returns the following targets:

dataset_file_geno and dataset_file_transcripto: targets tracking the genomics dataset file and the transcriptomics dataset file, respectively.
data_geno and data_transcripto: targets that import the genomics and transcriptomics dataset, respectively.

Examples

if (FALSE) { # \dontrun{
## in the _targets.R
library(moiraine)

list(
  import_dataset_csv_factory(
    c(
      "data/genotype_data.csv",
      "data/rnaseq_data.csv"
    ),
    col_ids = c("Marker", "Sample"),
    features_as_rows = c(TRUE, FALSE),
    target_name_suffixes = c("geno", "transcripto")
  )
)
} # }