write_fwf_blaise {blaise}

Write a fixed width ascii datafile and accompanying blaise datamodel

Description

Write a datafile in the blaise format (fwf ascii without separators) will always write out a blaise datamodel describing the datafile as well

Usage

write_fwf_blaise(
  df,
  output_data,
  output_model = NULL,
  decimal.mark = ".",
  digits = getOption("digits"),
  justify = "right",
  write_model = TRUE,
  model_name = NULL
)

Arguments

df

dataframe to write

output_data

path and name to output datafile. Will add .asc if no extension

output_model

path and name to output datamodel. If NULL will use the same name as output_data with .bla extension.

decimal.mark

decimal mark to use. Default is ".".

digits

how many significant digits are to be used for numeric and complex x. The default uses getOption("digits"). This is a suggestion: enough decimal places will be used so that the smallest (in magnitude) number has this many significant digits.

justify

direction of padding for STRING type when data is smaller than the width. Defaults to right-justified (padded on the left), can be "left", "right" or "centre".

write_model

logical that can be used to disable the automatic writing of a datamodel

model_name

Custom name that can be given to the datamodel. Default is the name of the dataframe

Details

Currently supports the following dataformats:

• character => STRING,

• integer => INTEGER,

• numeric => REAL,

• Date => DATETYPE,

• factor => ENUM (will convert factor with numbers as labels to STRING)

• logical => INTEGER

Value

output as it is written to file as a character vector. Does so invisibly, will not print but can be assigned.

Examples

datafilename = tempfile('testdata', fileext = '.asc')
blafilename = tempfile('testbla', fileext = '.bla')
data = data.frame(1, 1:10, sample(LETTERS[1:3], 10, replace = TRUE), runif(10, 1, 10))
write_fwf_blaise(data, datafilename)
unlink(c(datafilename, blafilename))