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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