[R] Achieve independent fine user control of ggplot geom settings when using groups in multiple geom's

[Jeff Newmiller]

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.
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Sent from my phone. Please excuse my brevity.

On October 29, 2015 11:27:55 AM MST, sbihorel <Sebastien.Bihorel at 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.Bihorel at 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
>>>
>>> ______________________________________________
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>>> 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 at 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.