Dear experts,
I’ve been on this for weeks now, and couldn’t find a solution..Sorry for the
long description. I figured I post many details, so you get the problem
entirely, although it’s not hard to grasp.
**Situation:**
Data frame consisting of 4 million entries (total size: 250 MB). Two
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Sent from my phone. Please excuse my brevity.
Simon Pickert simon.pick...@t-online.de wrote:
Hi R’lers,
I’m running into speeding issues, performing a bunch of
„gsub(patternvector, [token],dataframe$text_column)
on a data frame containing 4millionentries
/minutes/hours.
Sent from my iPad
On Nov 5, 2013, at 3:13, Simon Pickert simon.pick...@t-online.de wrote:
How’s that not reproducible?
1. Data frame, one column with text strings
2. Size of data frame= 4million observations
3. A bunch of gsubs in a row ( gsub(patternvector,
“[token
Mcapply from package 'parallel'. Also see package 'multicore'
Am 06.11.2013 um 00:01 schrieb Agony agony_...@yahoo.com:
Dear all,
I have about 50 pages of R codes and ran it in both OS X and Windows.
It takes at least haft a day to have the results. The running time is not
very
Hi R’lers,
I’m running into speeding issues, performing a bunch of
„gsub(patternvector, [token],dataframe$text_column)
on a data frame containing 4millionentries.
(The “patternvectors“ contain up to 500 elements)
Is there any better/faster way than performing like 20 gsub commands in a row?
Hi all,
what are the placeholders for string operations/modifications? Is there a
placeholder for numbers, which would allow me to easily replace all numbers in
a string? Something like
text1 - c(this is a number 23%)
text2 - c(this is not a number bla%)
newtext1 - gsub(#%, [percentagevalue],
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