Thanks Hadley,
I will certainly read your book. Unfortunately, what you just confirmed
as the developer of ggplot means that ggplot is non-starter for what I
want to build. Too bad, I was starting to appreciate some of its
advantages over lattice.
About your book, in case I do not find a proper box on which to build it
from source, I was wondering when it would become available in hard copy.
Sebastien
On 10/30/2015 07:34, Hadley Wickham wrote:
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.
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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
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PLEASE do read the posting guide
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______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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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.
--
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.