| read.tfl {zipfR} | R Documentation |
read.tfl loads type frequency list from .tfl file
write.tfl saves type frequency list object in .tfl
file
read.tfl(file) write.tfl(tfl, file)
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 |
A TAB-delimited text file with column headers but no row names
(suitable for reading with read.delim), containing the
following columns:
fktype
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.
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.
read.tfl returns an object of class tfl (see the
tfl manpage for details)
See the tfl manpage for details on tfl
objects. See read.spc and read.vgc for
import/export of other data structures.
## 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)