prova.data: Write and read CSV files in Prova

Description

Utility functions to read and write CSV files in the format required by Prova

Usage

pwrite.csv(x, file, ...)
pread.csv(file, ...)

Value

pread.csv returns a data frame containing a representation of the data in the file; see utils::read.csv(). pwrite.csv' returns NULL` invisibly.

Arguments

x: The object to be written. Preferably a matrix or data frame; if not, it is attempted to coerce x to a data frame. See utils::write.csv().
file: Either a character naming a file or a connection open for writing or reading. See utils::write.csv() and utils::read.csv().
...: Other arguments to be passed to utils::write.csv() or utils::read.csv(). Arguments 'row.names', 'quote', 'na', 'na.strings', 'tryLogical', 'sep', 'dec' are not allowed.

Details

The functions learn() and metadatatemplate() accept CSV files formatted as follows:

Decimal values should be separated by a dot; no comma should be used to separate thousands etc. Example: 86342.75.
Character and names should be quoted in single or double quotes. Example: "female".
Values should be separated by commas, not by tabs or semicolons.
Missing values should be simply empty, not denoted by "NA", "missing", "-", or similar.
Preferably there should not be factors (see base::factor); use character names instead.

The utility functions pwrite.csv() and pread.csv() are wrappers to utils::write.csv() and utils::read.csv() that set appropriate default parameters according to the formatting rules above.

Examples

Run this code

## Save the 'penguins' dataset in a (temporary) file
filename <- tempfile(fileext = '.csv')

pwrite.csv(penguins, file = filename)

## check first few lines of the raw file
writeLines(readLines(filename, n = 10))