search for: stat_bin2d

...en range is 0 * geom_point legend takes more care to ensure that fill colours will be shown * legend: fixed scale merging bug when labels were set manually * scale_area: gains a legend argument like all other scales * scale_colour_brewer: gains na.colour argument to set colour of missing values * stat_bin2d: fix typo in breaks calculation * stat_bin: deals with floating point rounding issues using the same algorithm as base::hist * stat_density2d: fixed bug when contour = FALSE (Thanks to Takahashi Kohske) -- Assistant Professor / Dobelman Family Junior Chair Department of Statistics / Rice Unive...

...en range is 0 * geom_point legend takes more care to ensure that fill colours will be shown * legend: fixed scale merging bug when labels were set manually * scale_area: gains a legend argument like all other scales * scale_colour_brewer: gains na.colour argument to set colour of missing values * stat_bin2d: fix typo in breaks calculation * stat_bin: deals with floating point rounding issues using the same algorithm as base::hist * stat_density2d: fixed bug when contour = FALSE (Thanks to Takahashi Kohske) -- Assistant Professor / Dobelman Family Junior Chair Department of Statistics / Rice Unive...

I'm working with a lot of data right now, but I'm new to R, and not very good with it, hence my request for help. What type of graph could I use to straighten out things like... http://r.789695.n4.nabble.com/file/n3711389/Untitled.png ...this? I want to see general frequencies. Should I use something like a 3D histogram, or is there an easier way like, say, shading? I'm sure these

...d and easy to understand. 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 form...

...d and easy to understand. 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 form...

...tat_bin`, while dot-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 t...

...tat_bin`, while dot-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 t...