search for: stat_binhex

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I'm having a bit of trouble finding and understanding the correct function to make numeric vectors to feed the sunflowerplot function. I have 33k points to show and I want to do better than the standard scatter plot. I gather that I need two vectors (x and y) of the same count containing the "center" value of each bin. FYI - I have two pieces of data: 1 - x axis - time in days of

...t-density binning uses variable-width bins. A new grob, `grob_dotstack` is used to render the dots. (Thanks to Winston Chang) * New fortify methods have been added for objects produced by the `multcomp` package. * `stat_summary2d` and `stat_summary_hex`. These are work like `stat_bin2d` and stat_binhex but allow any summarisation function (instead of just count). They are 2d analogs of `stat_summary` * `facet_grid`: The space argument now supports `free_x` and `free_y` next to `free` and `fixed, this allows the user to adjust the spatial scaling of the facets in either the x or y direction...

...t-density binning uses variable-width bins. A new grob, `grob_dotstack` is used to render the dots. (Thanks to Winston Chang) * New fortify methods have been added for objects produced by the `multcomp` package. * `stat_summary2d` and `stat_summary_hex`. These are work like `stat_bin2d` and stat_binhex but allow any summarisation function (instead of just count). They are 2d analogs of `stat_summary` * `facet_grid`: The space argument now supports `free_x` and `free_y` next to `free` and `fixed, this allows the user to adjust the spatial scaling of the facets in either the x or y direction...

...'Olio) * stat: statistics now also respect layer parameter inherit.aes (thanks to bug report by Lorenzo Isella and investigation by Brian Diggs) * stat_bin no longer drops 0-count bins by default * stat_bin: fix small bug when dealing with single bin with NA position (reported by John Rauser) * stat_binhex: uses range of data from scales when computing binwidth so hexes are the same size in all facets (thanks to Nicholas Lewin-Koh for the bug report) * stat_qq has new dparam parameter for specifying distribution parameters (thanks to Yunfeng Zhang for the bug report) * stat_smooth now uses built-in c...

...'Olio) * stat: statistics now also respect layer parameter inherit.aes (thanks to bug report by Lorenzo Isella and investigation by Brian Diggs) * stat_bin no longer drops 0-count bins by default * stat_bin: fix small bug when dealing with single bin with NA position (reported by John Rauser) * stat_binhex: uses range of data from scales when computing binwidth so hexes are the same size in all facets (thanks to Nicholas Lewin-Koh for the bug report) * stat_qq has new dparam parameter for specifying distribution parameters (thanks to Yunfeng Zhang for the bug report) * stat_smooth now uses built-in c...

...See http://had.co.nz/ggplot2/book. I love to hear your feedback about the book, but at this point please don't bother reporting minor typos, I would much rather hear about what you want to do, but can't figure out from the book. Other new features: * geom_bin2d/stat_bin2d & geom_hex/stat_binhex: for 2d square and hexagon binning, particularly useful for alleviating overplotting in scatterplots * geom_freqpoly: draws frequency polygons (= stat_bin + geom_line) * scale_position: both discrete and continuous gain a new formatter argument to control the default formatting of the axis labels....

...See http://had.co.nz/ggplot2/book. I love to hear your feedback about the book, but at this point please don't bother reporting minor typos, I would much rather hear about what you want to do, but can't figure out from the book. Other new features: * geom_bin2d/stat_bin2d & geom_hex/stat_binhex: for 2d square and hexagon binning, particularly useful for alleviating overplotting in scatterplots * geom_freqpoly: draws frequency polygons (= stat_bin + geom_line) * scale_position: both discrete and continuous gain a new formatter argument to control the default formatting of the axis labels....

Let me start by introducing myself as a biologist with only a little knowledge about programming in matlab and R. In the past I have succesfully created my figures in matlab using the hist3d command, but I have not access to matlab right now and would like to switch to R. I have used the plot command to create a figure of my data and it does almost what I want it to do. My data matrix looks like