"count.fields" is a very nice hint for a clean solution - thank you!
Joh
On Sunday 06 March 2011 21:48:32 David Winsemius wrote:
> On Mar 6, 2011, at 12:47 PM, Johannes Graumann wrote:
> > Thank you for pointing this out. This is really inconvenient as I do
> > not
> > know a priori how many and
On Mar 6, 2011, at 12:47 PM, Johannes Graumann wrote:
Thank you for pointing this out. This is really inconvenient as I do
not
know a priori how many and where those darn cases containing an
additional
(or more) ":" might be ...
There is a count.fields function that might assist with this
Opted for a solution with 100 column names, which is unlikely to be met ...
Thanks for your guidance.
Joh
On Sunday 06 March 2011 20:57:11 Sarah Goslee wrote:
> You could pre-process your data into a more sensible format.
> Or you could use scan to read each line of the file, count the number of
You could pre-process your data into a more sensible format.
Or you could use scan to read each line of the file, count the number of colons,
then use read.table with ncolons + 1 columns.
Or you could use read.table with many more columns than are ever going to be
in the data, then delete the empty
Thank you for pointing this out. This is really inconvenient as I do not
know a priori how many and where those darn cases containing an additional
(or more) ":" might be ...
The seems to work, but will fail if there's a "1:sdfjhlfkh:2:adlkjf"
somewhere (1 & 2 both integerable).
na.exclude(as
On Mar 6, 2011, at 10:19 AM, Sarah Goslee wrote:
Not so much a mystery. read.table() only looks at the first 5 lines
when
decided how many columns your file has (as described in the Details
section of the help).
The easiest solution is to add a col.names argument to read.table()
with
the
Not so much a mystery. read.table() only looks at the first 5 lines when
decided how many columns your file has (as described in the Details
section of the help).
The easiest solution is to add a col.names argument to read.table() with
the correct number of names.
You may want to also include as.
Hello,
Please have a look at the code below, which I use to read in the attached
file. As line 18 of the file reads "1065:>sp|Q9V3T9|ADRO_DROME
NADPH:adrenodoxin oxidoreductase, mitochondrial OS=Drosophila melanogaster
GN=dare PE=2 SV=1", I expect the code below to produce a 3 column data frame
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