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Read a datavolley file

Source: R/read_dv.R
read_dv.Rd

The do_transliterate option may be helpful when trying to work with multiple files from the same competition, since different text encodings may be used on different files. This can lead to e.g. multiple versions of the same team name. Transliterating can help avoid this, at the cost of losing e.g. diacriticals. Transliteration is applied after converting from the specified text encoding to UTF-8. Common encodings used with DataVolley files include "windows-1252" (western Europe), "windows-1250" (central Europe), "iso-8859-1" (western Europe and Americas), "iso-8859-2" (central/eastern Europe), "iso-8859-13" (Baltic languages)

Usage

read_dv(
  filename,
  insert_technical_timeouts = TRUE,
  do_warn = FALSE,
  do_transliterate = FALSE,
  encoding = "guess",
  date_format = "guess",
  extra_validation = 2,
  validation_options = list(),
  surname_case = "asis",
  skill_evaluation_decode = "default",
  custom_code_parser,
  metadata_only = FALSE,
  verbose = FALSE,
  edited_meta
)

dv_read(
  filename,
  insert_technical_timeouts = TRUE,
  do_warn = FALSE,
  do_transliterate = FALSE,
  encoding = "guess",
  date_format = "guess",
  extra_validation = 2,
  validation_options = list(),
  surname_case = "asis",
  skill_evaluation_decode = "default",
  custom_code_parser,
  metadata_only = FALSE,
  verbose = FALSE,
  edited_meta
)

Arguments

filename

string: file name to read

insert_technical_timeouts

logical or list: should we insert technical timeouts? If TRUE, technical timeouts are inserted at points 8 and 16 of sets 1--4 (for indoor files) or when the team scores sum to 21 in sets 1--2 (beach). Otherwise a two-element list can be supplied, giving the scores at which technical timeouts will be inserted for sets 1--4, and set 5.

do_warn

logical: should we issue warnings about the contents of the file as we read it?

do_transliterate

logical: should we transliterate all text to ASCII? See details

encoding

character: text encoding to use. Text is converted from this encoding to UTF-8. A vector of multiple encodings can be provided, and this function will attempt to choose the best. If encoding is "guess", the encoding will be guessed

date_format

string: the expected date format (one of "ymd", "mdy", or "dmy") or "guess". If date_format is something other than "guess", that date format will be preferred where dates are ambiguous

extra_validation

numeric: should we run some extra validation checks on the file? 0=no extra validation, 1=check only for major errors, 2=somewhat more extensive, 3=the most extra checking

validation_options

list: additional options to pass to the validation step. See help('validate_dv') for details

surname_case

string or function: should we change the case of player surnames? If surname_case is a string, valid values are "upper","lower","title", or "asis"; otherwise surname_case may be a function that will be applied to the player surname strings

skill_evaluation_decode

function or string: if skill_evaluation_decode is a string, it can be either "default" (use the default DataVolley conventions for dvw or vsm files), "volleymetrics" (to follow the scouting conventions used by VolleyMetrics), "german" (same as "default" but with B/ and B= swapped), or "guess" (use volleymetrics if it looks like a VolleyMetrics file, otherwise default). If skill_evaluation_decode is a function, it should convert skill evaluation codes into meaningful phrases. See skill_evaluation_decoder

custom_code_parser

function: function to process any custom codes that might be present in the datavolley file. This function takes one input (the datavolley object) and should return a list with two named components: plays and messages

metadata_only

logical: don't process the plays component of the file, just the match and player metadata

verbose

logical: if TRUE, show progress

edited_meta

list: [very much experimental] if supplied, will be used in place of the metadata present in the file itself. This makes it possible to, for example, read a file, edit the metadata, and re-parse the file but using the modified metadata

Value

A named list with several elements. meta provides match metadata, plays is the main play-by-play data in the form of a data.frame. raw is the line-by-line content of the datavolley file. messages is a data.frame describing any inconsistencies found in the file.

References

http://www.dataproject.com/IT/en/Volleyball

See also

skill_evaluation_decoder validate_dv

Examples

if (FALSE) {
  ## to read the example file bundled with the package
  myfile <- dv_example_file()
  x <- dv_read(myfile, insert_technical_timeouts=FALSE)
  summary(x)

  ## or to read your own file:
  x <- dv_read("c:/some/path/myfile.dvw", insert_technical_timeouts=FALSE)

  ## Insert a technical timeout at point 12 in sets 1 to 4:
  x <- dv_read(myfile, insert_technical_timeouts=list(c(12),NULL))

  ## to read a VolleyMetrics file
  x <- dv_read(myfile, skill_evaluation_decode = "volleymetrics")
}