Hello,
I noticed something odd when working with data frames and xts objects.
If I read in a CSV file, R creates a nice data.frame. This works well.
If I then convert to an XTS object, I see that all the values in the data are
now quoted. My data is a mix of numeric and character. This is usually seen
when converting a data.frame to a matrix, as R will treat all the data as the
same class. (character)
How can I ensure that R creates an XTS object that is still a data.frame so
that all the data are the correct type??
In the example below, you can see how as.xts() creates an object with the
correct date and time index. Please notice how all the values are now quoted
indicating that R considers them a string.
thee data read in "d" is a data.frame:
> str(d)
'data.frame': 248 obs. of 4 variables:
However, converting to an XTS seems to break that.
Example:
=============================================
d <- (read.csv(file.path(dataDir,thisFile), as.is=T))
myXTS <- as.xts( d, order.by=as.POSIXct(strptime(paste(d$Date, d$Time),
'%m/%d/%y %H:%M')))
head(d)
Date Obsever Val.1 Time
1 10/12/09 PL 15 12:44
2 10/12/09 PL 15 12:44
head(myXTS)
Date Obsever Val.1 Time
2009-10-12 12:44:00 "10/12/09" "PL" "15" "12:44"
2009-10-12 12:44:00 "10/12/09" "PL" "15" "12:44"
=============================================
--
Noah Silverman
UCLA Department of Statistics
8208 Math Sciences Building
Los Angeles, CA 90095
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