read_blocks {gcplyr}

Read blocks

Description

A function that reads blocks into the R environment

Usage

read_blocks(
  files,
  filetype = NULL,
  startrow = NULL,
  endrow = NULL,
  startcol = NULL,
  endcol = NULL,
  sheet = NULL,
  metadata = NULL,
  block_names = NULL,
  block_names_header = "block_name",
  block_names_dot = FALSE,
  block_names_path = TRUE,
  block_names_ext = FALSE,
  header = NA,
  sider = NA,
  wellnames_numeric = FALSE,
  na.strings = c("NA", ""),
  extension,
  block_name_header,
  ...
)

Arguments

files

A vector of filepaths relative to the current working directory where each filepath is a single plate read

filetype

(optional) the type(s) of the files. Options include:

"csv", "xls", or "xlsx".

"tbl" or "table" to use read.table to read the file, "csv2" to use read.csv2, "delim" to use read.delim, or "delim2" to use read.delim2.

If none provided, read_blocks will infer filetype(s) from the extension(s) in files. When extension is not "csv", "xls", or "xlsx", will use "table".

startrow, endrow, startcol, endcol

(optional) the rows and columns where the measures data are located in files.

Can be a vector or list the same length as files, or a single value that applies to all files. Values can be numeric or a string that will be automatically converted to numeric by from_excel.

If not provided, data is presumed to begin on the first row and column of the file(s) and end on the last row and column of the file(s).

sheet

(optional) If data is in .xls or .xlsx files, which sheet it is located on. Defaults to the first sheet if not specified

metadata

(optional) non-spectrophotometric data that should be associated with each read blockmeasures. A named list where each item in the list is either: a vector of length 2, or a list containing two vectors.

In the former case, each vector should provide the row and column where the metadata is located in all of the blockmeasures input files.

In the latter case, the first vector should provide the rows where the metadata is located in each of the corresponding input files, and the second vector should provide the columns where the metadata is located in each of the corresponding input files. (This case is typically used when reading multiple blocks from a single file.)

block_names

(optional) vector of names corresponding to each plate in files. If not provided, block_names are inferred from the filenames

block_names_header

The name of the metadata field containing the block_names

block_names_dot

If block_names are inferred from filenames, should the leading './' (if any) be retained

block_names_path

If block_names are inferred from filenames, should the path (if any) be retained

block_names_ext

If block_names are inferred from filenames, should the file extension (if any) be retained

header

TRUE, FALSE, or NA, or a vector of such values, indicating whether the file(s) contains the column names as its first line. If header = NA will attempt to infer the presence of column names. If header = FALSE or no column names are inferred when header = NA, column names will be generated automatically according to wellnames_numeric

sider

TRUE, FALSE, or NA, or a vector of such values, indicating whether the file(s) contains the row names as its first column. If sider = NA will attempt to infer the presence of row names. If sider = FALSE or no row names are inferred when sider = NA, row names will be generated automatically according to wellnames_numeric

wellnames_numeric

If row names and column names are not provided in the input dataframe as specified by header and sider, then names will be generated automatically according to wellnames_numeric.

If wellnames_numeric is TRUE, rows and columns will be numbered with "R" and "C" prefixes, respectively.

If wellnames_numeric is FALSE, rows will be lettered A through Z, while columns will be numbered

na.strings

A character vector of strings which are to be interpreted as NA values by read.csv, read_xls, read_xlsx, or read.table

extension

Deprecated, use filetype instead

block_name_header

Deprecated, use block_names_header instead

...

Other arguments passed to read.csv, read_xls, read_xlsx, or read.table

Details

For metadata, read_blocks can handle an arbitrary number of additional pieces of information to extract from each blockcurve file as metadata. These pieces of information are specified as a named list of vectors where each vector is the c(row, column) where the information is to be pulled from in the input files.

This metadata is returned as the second list element of each blockcurve, e.g.:

[[1]] [1] "data" #1 [2] "metadata" [2][1] name #1

[2][2] date-time #1

[2][3] temp #1

[[2]] [1] "data" #2 [2] "metadata" [2][1] name #2

[2][2] date-time #2

[2][3] temp #2

...

Calling uninterleave on the output of read_blocks works on block data and the associated metadata because uninterleave operates on the highest level entries of the list (the [[1]] [[2]] level items), leaving the meta-data associated with the block data

trans_block_to_wide integrates this metadata into the wide-shaped dataframe it produces

Value

A list where each entry is a list containing the block data frame followed by the block_names (or filenames, if block_names is not provided) and any specified metadata.