[R] speeding read.table
Jason Edgecombe
jason at rampaginggeek.com
Thu Oct 18 16:10:59 CEST 2012
On 10/18/2012 09:57 AM, Fisher Dennis wrote:
> R 2.15.1
> OS X
>
> Colleagues,
>
> I am reading a 1 GB file into R using read.table. The file consists of 100 tables, each of which is headed by two lines of characters.
> The first of these lines is:
> TABLE NO. 1
> The second is a list of column headers.
>
> For example:
> TABLE NO. 1
> COL1 COL2 COL3 COL4 COL5 COL6 COL7 COL8 COL9 COL10 COL11 COL12
> 1.0010E+05 0.0000E+00 1.0000E+00 1.0000E+03 -1.0000E+00 1.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00
> 1.0010E+05 1.0001E+01 1.0000E+00 1.0000E+03 -1.0000E+00 1.0000E+00 2.2737E-14 -2.2737E-14 0.0000E+00 1.9281E-08 0.0000E+00 0.0000E+00
> 1.0010E+05 2.4000E+01 1.0000E+00 2.0000E+03 -1.0000E+00 1.0000E+00 5.7541E-15 -5.7541E-15 0.0000E+00 5.1115E-13 0.0000E+00 0.0000E+00
>
> Later something similar appears:
> TABLE NO. 1
> COL1 COL2 COL3 COL4 COL5 COL6 COL7 COL8 COL9 COL10 COL11 COL12
> 1.0010E+05 0.0000E+00 1.0000E+00 1.0000E+03 -1.0000E+00 1.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00
> 1.0010E+05 1.0001E+01 1.0000E+00 1.0000E+03 -1.0000E+00 1.0000E+00 2.2737E-14 -2.2737E-14 0.0000E+00 1.9281E-08 0.0000E+00 0.0000E+00
> 1.0010E+05 2.4000E+01 1.0000E+00 2.0000E+03 -1.0000E+00 1.0000E+00 5.7541E-15 -5.7541E-15 0.0000E+00 5.1115E-13 0.0000E+00 0.0000E+00
>
> I will use the term "problematic lines" to refer to the repeated occurrences of the two non-data lines
>
> read.table is not successful in reading the table because of these problematic lines (I get around the first "TABLE NO." line using the skip option)
>
> My word-around has been to:
> 1. read the table with readLines
> 2. remove the problematic lines
> 3. write the file to disk
> 4. read the file with read.table.
> However, this process is slow.
>
> I though about using "comment.char" as a means of avoiding reading the problematic lines. However, comment.char does not accept ="[A-Z]"
>
> Are there any clever workarounds for this?
>
Create a connection to a pipe, where pipe reads from the grep command.
Grep can exlude the problematic lines. Use the pipe object as your
connection in read.table.
More information about the R-help
mailing list