I'd recommend reading the ggplot2 book - learning more about how scales work in ggplot2 will help you understand why this isn't possible. Hadley
On Thu, Oct 29, 2015 at 6:31 PM, sbihorel <sebastien.biho...@cognigencorp.com> wrote: > Thank for your reply, > > I may accept your point about the mapping consistency when the different > geom's use the same data source. However, as pointed out in my example code, > this does not have to be the case. Hence my question about the geom-specific > control of group-dependent graphical settings. > > Sebastien > > > On 10/29/2015 4:49 PM, Jeff Newmiller wrote: >> >> I think a fundamental design principle of ggplot is that mapping of values >> to visual representation are consistent within a single plot, so reassigning >> color mapping for different elements would not be supported. >> >> That being said, it is possible to explicitly control specific attributes >> within a single geom outside of the mapping, though this usually does break >> mappings in the legend. >> >> --------------------------------------------------------------------------- >> Jeff Newmiller The ..... ..... Go >> Live... >> DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live >> Go... >> Live: OO#.. Dead: OO#.. Playing >> Research Engineer (Solar/Batteries O.O#. #.O#. with >> /Software/Embedded Controllers) .OO#. .OO#. >> rocks...1k >> >> --------------------------------------------------------------------------- >> Sent from my phone. Please excuse my brevity. >> >> On October 29, 2015 11:27:55 AM MST, sbihorel >> <sebastien.biho...@cognigencorp.com> wrote: >>> >>> Thank you for your reply. >>> >>> I do not have anything specific data/geom/grouping in mind, rather a >>> framework in which users would just pile of each other layer after >>> layer >>> of geom each defined with specific settings. A minimum realistic >>> scenario would a geom_point followed by a geom_smooth or a geom_path >>> using different colors... >>> >>> Sebastien >>> >>> On 10/29/2015 1:34 PM, Ista Zahn wrote: >>>> >>>> I would say in a word, 'no'. What you seem to be implying is that you >>>> want multiple color scales, multiple shape scales, etc. As far as I >>>> know there is no support for that in ggplot2. >>>> >>>> Perhaps if you show us what you're actually trying to accomplish >>>> someone can suggest a solution or at least a work-around. >>>> >>>> Best, >>>> Ista >>>> >>>> On Thu, Oct 29, 2015 at 12:26 PM, sbihorel >>>> <sebastien.biho...@cognigencorp.com> wrote: >>>>> >>>>> Hello, >>>>> >>>>> Before I get to my question, I want to make clear that the topic of >>> >>> my >>>>> >>>>> present post is similar to posts I recently submitted to the list. >>> >>> Although >>>>> >>>>> I appreciate the replies I got, I believe that I did not correctly >>> >>> frame >>>>> >>>>> these previous posts to get to the bottom of things. >>>>> I also want to make clear that the code example that I have inserted >>> >>> in this >>>>> >>>>> post is meant to illustrate my points/questions and does not reflect >>> >>> a >>>>> >>>>> particular interest in the data or the sequence of ggplot geom's >>> >>> used >>>>> >>>>> (except otherwise mentioned). Actually, I purposefully used junk >>> >>> meaningless >>>>> >>>>> data, geom's sequence, and settings, so that we agree the plot is >>> >>> ugly and >>>>> >>>>> that we, hopefully, don't get hang on specifics and start discussing >>> >>> about >>>>> >>>>> the merit of one approach vs another. >>>>> >>>>> So here are my questions: >>>>> >>>>> 1- Can a user independently control the settings of each geom's used >>> >>> in a >>>>> >>>>> ggplot call sequence when grouping is required? >>>>> >>>>> By control, I mean: user defines the graphical settings (groups, >>> >>> symbol >>>>> >>>>> shapes, colors, fill colors, line types, size scales, and alpha) and >>> >>> does >>>>> >>>>> not let ggplot choose these settings from some theme default. >>>>> By independently, I mean: the set of graphical settings can be >>> >>> totally >>>>> >>>>> different from one group to the next and from one geom to the next. >>>>> >>>>> If this fine control can be achieved, how would you go about it >>> >>> (please, be >>>>> >>>>> assured that I already spent hours miserably failing to get to >>> >>> anything >>>>> >>>>> remotely productive, so your help would be really appreciated)? >>>>> >>>>> library(dplyr) >>>>> library(tidyr) >>>>> library(ggplot2) >>>>> set.seed(1234) >>>>> dummy <- data.frame(dummy = numeric()) >>>>> data <- data.frame(x1 = rep(-2:2, each = 80) + rnorm(4000, sd = >>> >>> 0.1), >>>>> >>>>> g1 = rep(1:4, each = 1000)) >>>>> data <- data %>% mutate(y1 = -x1^2 + 2*x1 - 2 + g1 + rnorm(4000, sd >>> >>> = 0.25)) >>>>> >>>>> data2 <- data %>% select(x2=x1, y2=y1, g2=g1) %>% mutate(x2=-x2) >>>>> data3 <- data.frame(x3 = sample(seq(-2, 2, by = 0.1), 20, replace = >>> >>> TRUE), >>>>> >>>>> y3 = runif(20, min=-8, max=4), >>>>> g3 = rep(1:4, each = 5)) %>% group_by(g3) %>% >>>>> arrange(x3) >>>>> >>>>> gplot <- ggplot(dummy) ### I know this line is not necessary in this >>>>> particular example, please assume this is relevantin the actual >>> >>> framework I >>>>> >>>>> am trying to build >>>>> gplot <- gplot + >>>>> geom_smooth(data = data2, >>>>> aes(x2, y2, group = g2, color = factor(g2), linetype >>> >>> = >>>>> >>>>> factor(g2), size = 0.5*g2), >>>>> method = 'loess') + >>>>> geom_path(data = data3, >>>>> aes(x3, y3, group = g3, color = factor(g3), linetype = >>>>> factor(g3), shape = factor(g3), size = 0.5*g3)) + >>>>> geom_point(data = data, >>>>> aes(x1, y1, group = g1, color = factor(g1), fill = >>> >>> factor(g1), >>>>> >>>>> shape = factor(g1), size = g1)) >>>>> gplot >>>>> >>>>> 2- Is the situation easier or more complex (ie, does ggplot make >>> >>> some >>>>> >>>>> decisions/assumptions for the user?) if the same x, y, and group >>> >>> variables >>>>> >>>>> are used in different geom's but the user still wants to provide >>>>> independently graphical settings for each geom? >>>>> >>>>> Thank you >>>>> >>>>> Sebastien >>>>> >>>>> ______________________________________________ >>>>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >>>>> https://stat.ethz.ch/mailman/listinfo/r-help >>>>> PLEASE do read the posting guide >>> >>> http://www.R-project.org/posting-guide.html >>>>> >>>>> and provide commented, minimal, self-contained, reproducible code. >>> >>> ______________________________________________ >>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >>> https://stat.ethz.ch/mailman/listinfo/r-help >>> PLEASE do read the posting guide >>> http://www.R-project.org/posting-guide.html >>> and provide commented, minimal, self-contained, reproducible code. > > > -- > Sebastien Bihorel > Cognigen Corporation > (t) +1 716 633 3463 ext 323 > Cognigen Corporation, a wholly owned subsidiary of Simulations Plus, Inc. > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. -- http://had.co.nz/ ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
