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 column
Mcapply from package 'parallel'. Also see package 'multicore'
> Am 06.11.2013 um 00:01 schrieb Agony :
>
> 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 different in both Sy
xpressions are used, not just in R. also
>> some idea of what the timing is; are you talking about 1-10-100
>> seconds/minutes/hours.
>>
>> Sent from my iPad
>>
>> On Nov 5, 2013, at 3:13, Simon Pickert wrote:
>>
>>> How’s that not reproducib
---
> Sent from my phone. Please excuse my brevity.
>
> Simon Pickert wrote:
>> Hi R’lers,
>>
>> I’m running into speeding issues, performing a bunch of
>>
>> „gsub(patternvector, [token],dataframe$text_column)"
>>
>> on a data frame
Hi R’lers,
I’m running into speeding issues, performing a bunch of
„gsub(patternvector, [token],dataframe$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(#%, [percentagev
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