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

[Hadley Wickham]

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
 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 NewmillerThe .   .  Go
>> Live...
>> DCN:Basics: ##.#.   ##.#.  Live
>> Go...
>>Live:   OO#.. Dead: OO#..  Playing
>> Research Engineer (Solar/BatteriesO.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
>>  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
  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 

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

[sbihorel]

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
 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 NewmillerThe .   .  Go
Live...
DCN:Basics: ##.#.   ##.#.  Live
Go...
Live:   OO#.. Dead: OO#..  Playing
Research Engineer (Solar/BatteriesO.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
 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
 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 <- 

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

[sbihorel]

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
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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.

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

[Ista Zahn]

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
 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.

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

[sbihorel]

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
 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.

Re: [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.
---
Jeff NewmillerThe .   .  Go Live...
DCN:Basics: ##.#.   ##.#.  Live Go...
  Live:   OO#.. Dead: OO#..  Playing
Research Engineer (Solar/BatteriesO.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 
 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
>>  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 

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

[sbihorel]

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 
 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
 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