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• What is an efficient method for partitioning and aggregating intervals from timestamped rows in a da

  - by mattrepl

  From a data frame with timestamped rows (strptime results), what is the best method for aggregating statistics for intervals? Intervals could be an hour, a day, etc. I've found the aggregate function, but that doesn't help with assigning each row to an interval. I'm planning on adding a column to the data frame that denotes interval and using that with aggregate, but if there's a better solution it'd be great to hear it. Thanks for any pointers!

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• What is the simplest method to fill the area under a geom_freqpoly line?

  - by mattrepl

  The x-axis is time broken up into time intervals. There is an interval column in the data frame that specifies the time for each row. The column is a factor, where each interval is a different factor level. Plotting a histogram or line using geom_histogram and geom_freqpoly works great, but I'd like to have a line, like that provided by geom_freqpoly, with the area filled. Currently I'm using geom_freqpoly like this: ggplot(quake.data, aes(interval, fill=tweet.type)) + geom_freqpoly(aes(group = tweet.type, colour = tweet.type)) + opts(axis.text.x=theme_text(angle=-60, hjust=0, size = 6)) I would prefer to have a filled area, such as provided by geom_density, but without smoothing the line: UPDATE: The geom_area has been suggested, is there any way to use a ggplot2-generated statistic, such as ..count.., for the geom_area's y-values? Or, does the count aggregation need to occur prior to using ggplot2?

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• Is it possible to plot a single density over a discrete variable?

  - by mattrepl

  The x-axis is time broken up into time intervals. There is an interval column in the data frame that specifies the time for each row. Plotting a histogram or line using geom_histogram and geom_freqpoly works great, but I'd like to use geom_density to get a filled area. Perhaps there is a better way to achieve this. Right now, if I use geom_density, curves are created for each discrete factor level instead of smoothing over all of them.

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