respectively 40 and 60 codes.
I'm a big fan of the data.table package so maybe someone has an solution
using that package?
But of course any solution is welcome:-)
Thanks for any help in advance,
Regards Dark
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Hi A.K,
Thanks for your great help.
I'm now running your first suggestion on a 600.000 row sample after
verifying it works on a smaller sample.
It's now been running for 40 minutes.
Which method do you think will be faster?
Regards Derk
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Hi Arun,
The second method is indeed working much faster. It worked fast for my
600.000 row record.
Still I have 2 bigger files where processing becomes an issue even though I
have lots of memory (32 gig) for the second statement:
res2-reshape(dat2,idvar=newCol,varying=list(2:26),direction=long)
Hi experts,
I have a dataframe with 100k+ records. it has a key/id column and 25 code
columns. I would like to restructure it having a row for each code column.
I have a structure like this (used dput):
structure(list(DSYSRTKY = structure(c(1L, 2L, 3L, 3L, 4L, 4L), .Names =
c(1,
2, 3, 4, 5, 6),
Hi,
My desired output for my sample!! using dput():
structure(list(ID = c(1, 2, 3, 4, 5, 6, 7, 8,
9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,
20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30,
31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41,
42, 43, 44, 45, 46, 47, 48), DSYSRTKY = c(10005,
10005,
Hi all,
I have a dataframe of users which contain US-state codes.
Now I want to add a column named REGION based on the state code. I have
already done a mapping:
NorthEast - c(07, 20, 22, 30, 31, 33, 39, 41, 47)
MidWest - c(14, 15, 16, 17, 23, 24, 26, 28, 35, 36, 43, 52)
South - c(01, 04, 08,
Hi all,I have two datasets:*Dataset 1 - List of Users:*ID Name C1 C2 C3
C23 C24 C25*Dataset 2 - List of Codes*Code Description
CategoryThe code fields in the user-dataset do not have to contain a value
and if they have a value they dont have to correspond with the
Codes-dataset.Now I
Hi all,
I have two datasets:
Dataset 1 - List of Users, the layout looks like this:
ID Name C1 C2 C3 C23 C24 C25
Dataset 2 - List of Codes, the layout looks like this:
Code Description Category
The code fields in the user-dataset do not have to contain a value and if
they
Hi all,
I think this should be an easy question for the guru's out here.
I have this large data frame (2.500.000 rows, 15 columns) and I want to add
a column named SEGMENT to it.
The first 5% rows (first 125.000 rows) should have the value Top 5% in the
SEGMENT column
Then the rows from 5% to
Works like a charm, thanks a lot!
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Hi Arun Kirshna,
I have tested your method and it will work for me.
I only run into one problem. Before I want to do this operation I have
sorted my data frame so my rownumbers ar not subsequent.
You can see if you first order your example data frame like:
dat1 - dat1[order(-dat1$value),]
Really no one has any suggestions on this issue?
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__
Hi,
Yes maybe I should have been more clear on my problem.
I want to append the different data-frames back into one variable ( rbind )
and save it as one R Data file.
Regards Derk
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Hi all,
For a project we have to process some very large CSV files (up to 40 gig)
To reduce them in size and increase operating performance I wanted to store
them as RData files.
Since it was to big I decided to split the csv and saving those parts as
separate .RDA files.
So far so good. Now I
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