Only convert numeric columns to time series. This is a fundamental limitation
of ts, xts, and zoo.
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Sent from my phone. Please excuse my brevity.
Noah Silverman <noahsilver...@ucla.edu> wrote:
>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
>
>
> [[alternative HTML version deleted]]
>
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