[R] Importing Excel/Openoffice Dates into R
Prof Brian Ripley
ripley at stats.ox.ac.uk
Fri Jan 2 10:10:21 CET 2004
I am puzzled: `csv' means `comma-separated values' and those files have no
commas in them. You could use
A <- read.table("cboevix.csv")
B <- read.table("yenv.csv")
which looks better. You can then merge the two dfs by
> (AB <- merge(A, B, by="row.names", all=T))
Row.names VIX YENV
1 1/1/1999 24.42 19.5
2 1/11/1999 25.46 21.6
3 1/12/1999 28.10 20.9
4 1/14/1999 32.98 19.3
5 1/4/1999 26.17 22.2
6 1/5/1999 24.46 23.2
7 1/6/1999 23.34 21.0
8 1/7/1999 24.37 20.2
9 1/8/1999 23.28 NA
10 1/13/1999 NA 19.1
and then convert to R's date format by
Date <- as.POSIXct(strptime(as.character(AB$Row.names), "%m/%d/%Y"))
row.names(AB) <- Date
AB <- AB[sort.list(Date),-1]
AB
VIX YENV
1999-01-01 24.42 19.5
1999-01-04 26.17 22.2
1999-01-05 24.46 23.2
1999-01-06 23.34 21.0
1999-01-07 24.37 20.2
1999-01-08 23.28 NA
1999-01-11 25.46 21.6
1999-01-12 28.10 20.9
1999-01-13 NA 19.1
1999-01-14 32.98 19.3
Second, as ts.union is not part of tseries, and is for regular time series
I don't see how you hoped to use it. You could for example use
irts(row.names(AB), as.matrix(AB))
to create an object of class "irts", or you could use the `its' package
from CRAN (which is what I would use).
On Fri, 2 Jan 2004, Ashley Davies wrote:
> Hi,
>
> I would like to import some daily financial data from excel via csv.
> More specifically, I would like to be able to use the ts.union function
> from the tseries library as the dates are irregular and I need to line
> up the dates so that I can place all the variables into one data frame.
>
> The trouble is, how do I import the dates from excel into R? At the
> moment I'm just importing the data via read.csv, but I don't know how to
> bring the dates in as well.
>
> Example: Here are two csv files. The first file is missing Jan 13th and
> the second is missing the 8th.
>
> file 1: cboevix.csv
> VIX
> 1/1/1999 24.42
> 1/4/1999 26.17
> 1/5/1999 24.46
> 1/6/1999 23.34
> 1/7/1999 24.37
> 1/8/1999 23.28
> 1/11/1999 25.46
> 1/12/1999 28.1
> 1/14/1999 32.98
>
> file 2: yenv.csv
>
> YENV
> 1/1/1999 19.5
> 1/4/1999 22.2
> 1/5/1999 23.2
> 1/6/1999 21
> 1/7/1999 20.2
> 1/11/1999 21.6
> 1/12/1999 20.9
> 1/13/1999 19.1
> 1/14/1999 19.3
>
> # Read the files in via read.csv
> A<-read.csv("cboevix.csv",skip=1,header=FALSE)
> B<-read.csv("yenv.csv",skip=1,header=FALSE)
>
> #define variables
> VIX<-A$V2
> YENV<-B$V2
>
> # MISSING STEP!
> #apply dates from original csv files to the variables.
> #the dates are stilling sitting in A$V1 and B$V1
> #how do I apply them to VIX and YENV?
> #????
>
> #use ts.union function to line up the dates and create data frame
> #"vixyen" with lined up data
>
> vixyen<-ts.union(VIX,YENV)
>
> Can anyone help me fill in those missing steps? Thanks very much!
>
> Cheers,
>
>
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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