[R] making dataframes
Dear all, I have a dataframe which looks like this (dummy): date-c(jan, feb, mar, apr, may, june, july, aug,sep,oct,nov,dec) col1-c(8.2,5.4,4.3,4.1,3.1,2.5,1.1,4.5,3.2,1.9,7.8,6.5) col2-c(3.1,2.3,4.7,6.9,7.5,1.1,3.6,8.5,7.5,2.5,4.1,2.3) dum-data.frame(cbind(date,col1,col2)) dum date col1 col2 1 jan 8.2 3.1 2 feb 5.4 2.3 3 mar 4.3 4.7 4 apr 4.1 6.9 5 may 3.1 7.5 6 june 2.5 1.1 7 july 1.1 3.6 8 aug 4.5 8.5 9 sep 3.2 7.5 10 oct 1.9 2.5 11 nov 7.8 4.1 12 dec 6.5 2.3 I would like to convert this data.frame into something that looks like this: date rainfall category 1 jan 8.2 col1 2 feb 5.4 col1 3 mar 4.3 col1 4 apr 4.1 col1 5 may 3.1 col1 6 june 2.5 col1 7 july 1.1 col1 8 aug 4.5 col1 9 sep 3.2 col1 10 oct 1.9 col1 11 nov 7.8 col1 12 dec 6.5 col1 1 jan 3.1 col2 2 feb 2.3 col2 3 mar 4.7 col2 4 apr 6.9 col2 5 may 7.5 col2 6 june 1.1 col2 7 july3.6 col2 8 aug 8.5 col2 9 sep 7.5 col2 10 oct 2.5 col2 11 nov 4.1 col2 12 dec 2.3 col2 So the column-names become categories. The dataset is rather large with many columns and a lengthy date-string. Is there an easy way to do this? Thank you for your help, Kind regards, Saskia van Pelt __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] making dataframes
require(reshape2) melt(dum, id = 1) On Wednesday, March 16, 2011 at 9:28 AM, pelt wrote: Dear all, I have a dataframe which looks like this (dummy): date-c(jan, feb, mar, apr, may, june, july, aug,sep,oct,nov,dec) col1-c(8.2,5.4,4.3,4.1,3.1,2.5,1.1,4.5,3.2,1.9,7.8,6.5) col2-c(3.1,2.3,4.7,6.9,7.5,1.1,3.6,8.5,7.5,2.5,4.1,2.3) dum-data.frame(cbind(date,col1,col2)) dum date col1 col2 1 jan 8.2 3.1 2 feb 5.4 2.3 3 mar 4.3 4.7 4 apr 4.1 6.9 5 may 3.1 7.5 6 june 2.5 1.1 7 july 1.1 3.6 8 aug 4.5 8.5 9 sep 3.2 7.5 10 oct 1.9 2.5 11 nov 7.8 4.1 12 dec 6.5 2.3 I would like to convert this data.frame into something that looks like this: date rainfall category 1 jan 8.2 col1 2 feb 5.4 col1 3 mar 4.3 col1 4 apr 4.1 col1 5 may 3.1 col1 6 june 2.5 col1 7 july 1.1 col1 8 aug 4.5 col1 9 sep 3.2 col1 10 oct 1.9 col1 11 nov 7.8 col1 12 dec 6.5 col1 1 jan 3.1 col2 2 feb 2.3 col2 3 mar 4.7 col2 4 apr 6.9 col2 5 may 7.5 col2 6 june 1.1 col2 7 july 3.6 col2 8 aug 8.5 col2 9 sep 7.5 col2 10 oct 2.5 col2 11 nov 4.1 col2 12 dec 2.3 col2 So the column-names become categories. The dataset is rather large with many columns and a lengthy date-string. Is there an easy way to do this? Thank you for your help, Kind regards, Saskia van Pelt __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] making dataframes
Try this:
reshape(dum, direction = 'long', idvar = 'date', varying =
list(c('col1', 'col2')))
On Wed, Mar 16, 2011 at 11:28 AM, pelt p...@knmi.nl wrote:
Dear all,
I have a dataframe which looks like this (dummy):
date-c(jan, feb, mar, apr, may, june, july,
aug,sep,oct,nov,dec)
col1-c(8.2,5.4,4.3,4.1,3.1,2.5,1.1,4.5,3.2,1.9,7.8,6.5)
col2-c(3.1,2.3,4.7,6.9,7.5,1.1,3.6,8.5,7.5,2.5,4.1,2.3)
dum-data.frame(cbind(date,col1,col2))
dum
date col1 col2
1 jan 8.2 3.1
2 feb 5.4 2.3
3 mar 4.3 4.7
4 apr 4.1 6.9
5 may 3.1 7.5
6 june 2.5 1.1
7 july 1.1 3.6
8 aug 4.5 8.5
9 sep 3.2 7.5
10 oct 1.9 2.5
11 nov 7.8 4.1
12 dec 6.5 2.3
I would like to convert this data.frame into something that looks like this:
date rainfall category
1 jan 8.2 col1
2 feb 5.4 col1
3 mar 4.3 col1
4 apr 4.1 col1
5 may 3.1 col1
6 june 2.5 col1
7 july 1.1 col1
8 aug 4.5 col1
9 sep 3.2 col1
10 oct 1.9 col1
11 nov 7.8 col1
12 dec 6.5 col1
1 jan 3.1 col2
2 feb 2.3 col2
3 mar 4.7 col2
4 apr 6.9 col2
5 may 7.5 col2
6 june 1.1 col2
7 july 3.6 col2
8 aug 8.5 col2
9 sep 7.5 col2
10 oct 2.5 col2
11 nov 4.1 col2
12 dec 2.3 col2
So the column-names become categories. The dataset is rather large with
many columns and a lengthy date-string. Is there an easy way to do this?
Thank you for your help,
Kind regards,
Saskia van Pelt
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
--
Henrique Dallazuanna
Curitiba-Paraná-Brasil
25° 25' 40 S 49° 16' 22 O
__
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] making dataframes
Firstly, the way you have constructed your data frame in the example will convert everything to factors. What you need to do is actually a bit simpler: ### dum - data.frame(date, col1, col2) ### One way to turn this into the kind of data frame you want is to convert the main part of it to a table first, and then coerce into a data frame: ### tab - as.table(as.matrix(dum[, -1])) row.names(tab) - date names(dimnames(tab)) - c(date, category) Dum - as.data.frame(tab, responseName = rainfall) Dum$date - factor(Dum$date, levels = date) ### Here is a checK: head(Dum) date category rainfall 1 jan col1 8.2 2 feb col1 5.4 3 mar col1 4.3 4 apr col1 4.1 5 may col1 3.1 6 june col1 2.5 with(Dum, tapply(rainfall, date, mean)) jan feb mar apr may june july aug sep oct nov dec 5.65 3.85 4.50 5.50 5.30 1.80 2.35 6.50 5.35 2.20 5.95 4.40 Bill Venables. -Original Message- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of pelt Sent: Thursday, 17 March 2011 12:28 AM To: r-help@r-project.org Subject: [R] making dataframes Dear all, I have a dataframe which looks like this (dummy): date-c(jan, feb, mar, apr, may, june, july, aug,sep,oct,nov,dec) col1-c(8.2,5.4,4.3,4.1,3.1,2.5,1.1,4.5,3.2,1.9,7.8,6.5) col2-c(3.1,2.3,4.7,6.9,7.5,1.1,3.6,8.5,7.5,2.5,4.1,2.3) dum-data.frame(cbind(date,col1,col2)) dum date col1 col2 1 jan 8.2 3.1 2 feb 5.4 2.3 3 mar 4.3 4.7 4 apr 4.1 6.9 5 may 3.1 7.5 6 june 2.5 1.1 7 july 1.1 3.6 8 aug 4.5 8.5 9 sep 3.2 7.5 10 oct 1.9 2.5 11 nov 7.8 4.1 12 dec 6.5 2.3 I would like to convert this data.frame into something that looks like this: date rainfall category 1 jan 8.2 col1 2 feb 5.4 col1 3 mar 4.3 col1 4 apr 4.1 col1 5 may 3.1 col1 6 june 2.5 col1 7 july 1.1 col1 8 aug 4.5 col1 9 sep 3.2 col1 10 oct 1.9 col1 11 nov 7.8 col1 12 dec 6.5 col1 1 jan 3.1 col2 2 feb 2.3 col2 3 mar 4.7 col2 4 apr 6.9 col2 5 may 7.5 col2 6 june 1.1 col2 7 july3.6 col2 8 aug 8.5 col2 9 sep 7.5 col2 10 oct 2.5 col2 11 nov 4.1 col2 12 dec 2.3 col2 So the column-names become categories. The dataset is rather large with many columns and a lengthy date-string. Is there an easy way to do this? Thank you for your help, Kind regards, Saskia van Pelt __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
