search for: scale_continu

I took some data from an online poll about which R GUI people used most and I am messing around with it to learn how to use qplot. Specifically I am making a horizontal bar graph and I have two questions. 1. The categories are ordered in rather strange way at least to me. It is not alphabetical or ascending/descending order of votes cast so i had to manually state the order I wanted which is

Aloha all, I love using ggplot. It took a while to get used to the grammar of graphics, but it is starting to get easy now that I am thinking in a more structured way. A question. I'm making a wind rose that I'd like to be oriented with due north straight up. I've discovered that the orientation is sensitive to how north is represented. When north is represented as 0,

Hello everyone, I am (happily) using ggplot2 for all my plotting now and I wondered is there is an easy way to specify xlim and ylim somewhere when using the ggplot syntax, as opposed to the qplot syntax. Eg. qplot(data=mtcars,y=wt, x=qsec,xlim=c(0,30)) <-> ggplot(mtcars, aes(y=wt, x=qsec)) + geom_point() + ??? Indeed the ggplot syntax is in general more flexible and powerful and

...umb ggplot2 question: a facet plot with free x scale, lots of different ranges, want to specify that the x axis ticks be sparse -- only 2 or 3. I was about to say that I could figure out how to manually set the ticks for each facet if necessary, but now that I've looked around some more (at scale_continuous, facet_grid, facet_wrap, the Book ...) I think I can't even do that. Looking at http://had.co.nz/ggplot2/facet_grid.html and searching for "free" will show the problem I'm trying to solve -- in the first few plots you come to that way, the middle plots (corresponding to 6-cyli...

Hello, I am a beginner with ggplot and after doing simple graphs (histogram, segments etc.) some questions came up: 1) I tried to do a histogram, but nothing is displayed although it works with another vector. I think it is because of the very small values (n=1000, min=1.222e-24 max, 1.890e-20). I used qplot(variable,geom="histogram")... If do it with the standard plot function it

...are, and that breaks and labels are the same length (implements #40) * scales: if breaks are a named vector, the names will be used as labels (thanks to suggestion by David Kahle) * scale_colour_gradient, scale_colour_gradient2 & scale_colour_gradientn now have formatter argument to match scale_continuous * updated citation to refer to the ggplot2 book Bug fixes * coord_cartesian now correctly sets limits when one or both of the position scales are non-linear. (fixes #17) * coord_equal: now works with non-linear scales (fixes #13) * coord_map sets aspect ratio correctly (fixes #4) * coord_po...

...are, and that breaks and labels are the same length (implements #40) * scales: if breaks are a named vector, the names will be used as labels (thanks to suggestion by David Kahle) * scale_colour_gradient, scale_colour_gradient2 & scale_colour_gradientn now have formatter argument to match scale_continuous * updated citation to refer to the ggplot2 book Bug fixes * coord_cartesian now correctly sets limits when one or both of the position scales are non-linear. (fixes #17) * coord_equal: now works with non-linear scales (fixes #13) * coord_map sets aspect ratio correctly (fixes #4) * coord_po...

...nment in which it was run, which should make it much more robust at finding the variables you expect it to find * qplot: now treats any arguments wrapped in I() as parameters, not aesthetics, e.g. qplot(mpg, wt, data=mtcars, colour = I("red")) or qplot(mpg, wt, data=mtcars, size = I(5)) * scale_continuous: new minor_breaks argument to controls position of minor breaks * scale_discrete: new discrete position scales which make it possible to manually position elements * scale_gradientn: new colour scale which creates gradient between any list of colours More consistent interfaces * can use color...

...nment in which it was run, which should make it much more robust at finding the variables you expect it to find * qplot: now treats any arguments wrapped in I() as parameters, not aesthetics, e.g. qplot(mpg, wt, data=mtcars, colour = I("red")) or qplot(mpg, wt, data=mtcars, size = I(5)) * scale_continuous: new minor_breaks argument to controls position of minor breaks * scale_discrete: new discrete position scales which make it possible to manually position elements * scale_gradientn: new colour scale which creates gradient between any list of colours More consistent interfaces * can use color...

...se=FALSE x axis always includes 0 * geom_vline, geom_hline: yet another rewrite which should make them more powerful and less error prone. * ggsave reports width and height of saved image * position_stack: fixed bug when data was empty * qplot: allow qplot to use computed aesthetics too * scale_continuous: tweaks to minor breaks to make appearance better on wider range of coordinate systems * scale_discrete: all discrete scales now have labels argument which you can use to override the factor levels * scale_discrete: now works correctly with character vectors * scale_size: changed default r...

...se=FALSE x axis always includes 0 * geom_vline, geom_hline: yet another rewrite which should make them more powerful and less error prone. * ggsave reports width and height of saved image * position_stack: fixed bug when data was empty * qplot: allow qplot to use computed aesthetics too * scale_continuous: tweaks to minor breaks to make appearance better on wider range of coordinate systems * scale_discrete: all discrete scales now have labels argument which you can use to override the factor levels * scale_discrete: now works correctly with character vectors * scale_size: changed default r...

Hello, I am trying to generate a set of boxplots using ggplot with the following data with 4 columns (Day, Site, VO2, Cruise) AllCorbulaMR Day Site VO2 Cruise 1 1 1 148.43632670 1 2 1 1 61.73864969 1 3 1 1 92.64536096 1 4 1 1 73.35434957 1 5 1 1 69.85568810 1 6 1 1 98.71116866 1 7 1 1 67.57880107