import_blockmeasures: Import blockmeasures

Description

Function to import blockmeasures from files and return widemeasures This function acts as a wrapper to call read_blocks, uninterleave, then trans_block_to_wide in one go

Usage

import_blockmeasures(
  files,
  num_plates = 1,
  plate_names = NULL,
  wellnames_sep = "",
  ...
)

Value

If num_plates = 1, a wide-shaped data.frame

containing the measures data.

if num_plates is greater than one, a list of

data.frame's, where each data.frame is wide-shaped.

Arguments

files: Vector of filenames (as strings), each of which is a block-shaped file containing measures data. File formats can be .csv, .xls, or .xlsx
num_plates: Number of plates. If multiple plates uninterleave will be used to separate blockmeasures into those plates accordingly
plate_names: (optional) Names to put onto the plates when output
wellnames_sep: String to use as separator for well names between rowname and column name
...: Other arguments to pass to read_blocks, uninterleave, or trans_block_to_wide

Details

Common arguments that you may want to provide via ... include:

startrow, endrow, startcol, endcol, sheet - specifying the location of design information inside files to read_blocks

metadata - specifying metadata to read_blocks

See read_blocks for more details

If you find yourself needing more control, you can run the steps manually, first reading with read_blocks, separating plates as needed with uninterleave, then transforming to wide with trans_block_to_wide.