read.tfl {zipfR}R Documentation

Loading and Saving Type Frequency Lists (zipfR)

Description

read.tfl loads type frequency list from .tfl file

write.tfl saves type frequency list object in .tfl file

Usage


  read.tfl(file)

  write.tfl(tfl, file)

Arguments

file character string specifying the pathname of a disk file. See section "Format" for a description of the required file format
tfl a type frequency list, i.e.\ an object of class tfl

Format

A TAB-delimited text file with column headers but no row names (suitable for reading with read.delim), containing the following columns:

f
type frequencies f_k

k
optional: the corresponding type IDs k. If missing, increasing non-negative integers are automatically assigned as IDs.

type
optional: type representations (such as word forms or lemmas)

These columns may appear in any order in the text file. Only the f column is mandatory and all unrecognized columns will be silently ignored.

Details

The .tfl file format stores neither the values of N and V nor the range of type frequencies explicitly. Therefore, incomplete type frequency lists cannot be fully reconstructed from disk files (and will not even be recognized as such). An attempt to save such a list will trigger a corresponding warning.

Value

read.tfl returns an object of class tfl (see the tfl manpage for details)

See Also

See the tfl manpage for details on tfl objects. See read.spc and read.vgc for import/export of other data structures.

Examples


## Not run: 

## examples will not be run during package compilation
## since they would require accessing and writing to
## external files

## load Brown tfl and write it to external file
data(Brown.tfl)
write.tfl(Brown.tfl,"brown.tfl")
## now brown.tfl is external file with fields
## k (an id), f (frequency), type (word)

## read it back in
New.tfl <- read.tfl("brown.tfl")

## same as Brown.tfl
summary(New.tfl)
summary(Brown.tfl)
print(New.tfl)
print(Brown.tfl)
head(New.tfl)
head(Brown.tfl)

## suppose you have a text file with a
## frequency list, one f per line, e.g.:
## f
## 14
## 12
## 31
## ...

## you can import this with read.tfl
MyData.tfl <- read.tfl("mylist.txt")
summary(MyData.tfl)
print(MyData.tfl) # ids in column k added by zipfR

## from this you can generate a spectrum with tfl2spc
MyData.spc <- tfl2spc(MyData.tfl)
summary(MyData.spc)


## End(Not run)


[Package zipfR version 0.6-5 Index]