使用 R 解压 gz 文件

Question

I have used ?unzip in the past to get at contents of a zipped file using R. This time around, I am having a hard time extracting the files from a .gz file which can be found here .

I have tried ?gzfile and ?gzcon but have not been able to get it to work. Any help you can provide will be greatly appreciated.

Answer 1

Here is a worked example that may help illustrate what gzfile() and gzcon() are for

foo <- data.frame(a=LETTERS[1:3], b=rnorm(3))
foo
#  a        b
#1 A 0.586882
#2 B 0.218608
#3 C 1.290776
write.table(foo, file="/tmp/foo.csv")
system("gzip /tmp/foo.csv")             # being very explicit

Now that the file is written, instead of implicit use of file() , use gzfile() :

read.table(gzfile("/tmp/foo.csv.gz"))   
#  a        b
#1 A 0.586882
#2 B 0.218608
#3 C 1.290776

The file you point is a compressed tar archive, and as far as I know, R itself has no interface to tar archives. These are commonly used to distribute source code--as for example for R packages and R sources.

Answer 2

To un-gz a file in R you can do

library(R.utils)
gunzip("file.gz", remove=FALSE)

or

gunzip("file.gz")

But then you get the default (remove=TRUE) behavior in which the input file is removed after that the output file is fully created and closed.

Answer 3

If you really want to uncompress the file, just use the untar function which does support gzip . Eg:

untar('chadwick-0.5.3.tar.gz')

Answer 4

http://blog.revolutionanalytics.com/2009/12/r-tip-save-time-and-space-by-compressing-data-files.html

R added transparent decompression for certain kinds of compressed files in the latest version (2.10). If you have your files compressed with bzip2, xvz, or gzip they can be read into R as if they are plain text files. You should have the proper filename extensions.

The command...

myData <- read.table('myFile.gz')  

#gzip compressed files have a "gz" extension

Will work just as if 'myFile.gz' were the raw text file.

Answer 5

library(vroom)
columns3 = c('A', 'B',...) ## define column names
Data1<- vroom(".../XXX.tsv",col_names = columns3)

works fine with tsv.gz