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POPlotting from a data frame that contains one or more time series
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10572869
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2012-05-13T15:17:56.107
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2012-05-14T14:48:57.297
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2012-05-14T14:48:57.297
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I regularly build a data frame with time values (originating from xts or zoo objects) for analysis and plotting. Here's an example: <pre><code>library(xts) x1 <- xts(rnorm(10), as.Date("2012-01-01") + 0:9) x2 <- xts(rnorm(10), as.Date("2012-01-04") + 0:9) (df <- data.frame(merge(x1=x1, x2=x2), v1=4:16, v2=rnorm(13))) x1 x2 v1 v2 2012-01-01 0.1930827 NA 4 1.05972724 2012-01-02 0.4429592 NA 5 -1.89299068 2012-01-03 1.6657630 NA 6 0.70445966 2012-01-04 -0.2765922 -0.26728223 7 0.35336959 2012-01-05 -0.1756590 -2.04888130 8 0.90129924 2012-01-06 -2.4849132 0.49400975 9 1.54486914 2012-01-07 -0.9993353 -1.09308203 10 1.16600015 2012-01-08 -0.7326309 0.55781566 11 0.37178542 2012-01-09 -0.2973543 -0.59872496 12 0.07512468 2012-01-10 -1.5061380 0.08567125 13 1.77494367 2012-01-11 NA 0.81835375 14 -0.38211167 2012-01-12 NA 1.30131894 15 -1.09220795 2012-01-13 NA -1.29505649 16 1.27148069 </code></pre> To plot the time series, I need to use <code>as.Date(row.names(df))</code> for the horizontal axis. For example: <pre><code>plot(as.Date(row.names(df)), df$x1, type="l", xlab="", ylab="Test", main="Using row.names()", col="red") lines(as.Date(row.names(df)), df$x2, col="blue") lines(as.Date(row.names(df)), df$v2, col="green") </code></pre> It's a real pain to use <code>as.Date(row.names(df))</code> over and over, so in the past, I added a column to the data frame using the following code: <pre><code>(df <- cbind(df, tim=as.Date(row.names(df)))) </code></pre> I can now plot the time series as: <pre><code>with(df, { plot(tim, x1, type="l", xlab="", ylab="Test", main="Using a new tim column", col="red") lines(tim, x2, col="blue") lines(tim, v2, col="green") }) </code></pre> This technique works, but adding that <code>tim</code> column feels sloppy. Is there a better/cleaner way to do this? Edit 1 (2012-05-13) ==================================== The reason I'm using a data frame is because this data is commonly fed to one or more packages that require a data frame, and/or because I typically need to represent non-numeric data in some of the variables.
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<r><plot><dataframe>
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Plotting from a data frame that contains one or more time series
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 POPlotting from a data frame that contains one or more time series
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