[R] Is it possible to get a downward pointing solid triangle plotting symbol in R?
Jan van der Laan
rhe|p @end|ng |rom eoo@@dd@@n|
Fri Oct 6 12:55:49 CEST 2023
You are right, sorry.
Another possible solution then: use geom_text instead of geom_point and
use a triangle shape as text:
ggplot(data = tmpTibPoints,
aes(x = x, y = y)) +
geom_polygon(data = tmpTibAreas,
aes(x = x, y = y, fill = a)) +
geom_text(data = tmpTibPoints,
aes(x = x, y = y, label = "▼", color = c),
size = 6) + guides(color = FALSE)
On 06-10-2023 12:11, Chris Evans via R-help wrote:
> Sadly, no. Still shows the same legend with both sets of fill
> mappings. I have found a workaround, sadly
> much longer than yours (!) that does get me what I want but it is a real
> bodge. Still interested to see
> if there is a way to create a downward pointing solid symbol but here is
> my bodge using new_scale_fill()
> and new_scale_color() from the ggnewscale package (many thanks to Elio
> Campitelli for that).
>
> library(tidyverse)
> library(ggnewscale) # allows me to change the scales used
> tibble(x = 2:9, y = 2:9,
> ### I have used A:C to ensure the changes sort in the correct
> order to avoid the messes of using shape to scale an ordinal variable
> ### have to say that seems a case where it is perfectly sensible
> to map shapes to an ordinal variable, scale_shape_manual() makes
> ### this difficult hence this bodge
> c = c(rep("A", 5), "B", rep("C", 2)),
> change = c(rep("Deteriorated", 5), "No change", rep("Improved",
> 2))) %>%
> ### this is just keeping the original coding but not used below
> mutate(change = ordered(change,
> levels = c("Deteriorated", "No change",
> "Improved"))) -> tmpTibPoints
> ### create the area mapping
> tibble(x = c(1, 5, 5, 1), y = c(1, 1, 5, 5), a = rep("a", 4)) ->
> tmpTibArea1
> tibble(x = c(5, 10, 10, 5), y = c(1, 1, 5, 5), a = rep("b", 4)) ->
> tmpTibArea2
> tibble(x = c(1, 5, 5, 1), y = c(5, 5, 10, 10), a = rep("c", 4)) ->
> tmpTibArea3
> tibble(x = c(5, 10, 10, 5), y = c(5, 5, 10, 10), a = rep("d", 4)) ->
> tmpTibArea4
> bind_rows(tmpTibArea1,
> tmpTibArea2,
> tmpTibArea3,
> tmpTibArea4) -> tmpTibAreas
> ### now plot
> ggplot(data = tmpTib,
> aes(x = x, y = y)) +
> geom_polygon(data = tmpTibAreas,
> aes(x = x, y = y, fill = a),
> alpha = .5) +
> scale_fill_manual(name = "Areas",
> values = c("orange", "purple", "yellow", "brown"),
> labels = letters[1:4]) +
> ### next two lines use ggnewscale functions to reset the scale mappings
> new_scale_fill() +
> new_scale_colour() +
> ### can now use the open triangles and fill aesthetic to map them
> geom_point(data = tmpTibPoints,
> aes(x = x, y = y, shape = c, fill = c, colour = c),
> size = 6) +
> ### use the ordered variable c to get mapping in desired order
> ### which, sadly, isn't the alphabetical order!
> scale_shape_manual(name = "Change",
> values = c("A" = 24,
> "B" = 23,
> "C" = 25),
> labels = c("Deteriorated",
> "No change",
> "Improved")) +
> scale_colour_manual(name = "Change",
> values = c("A" = "red",
> "B" = "grey",
> "C" = "green"),
> labels = c("Deteriorated",
> "No change",
> "Improved")) +
> scale_fill_manual(name = "Change",
> values = c("A" = "red",
> "B" = "grey",
> "C" = "green"),
> labels = c("Deteriorated",
> "No change",
> "Improved"))
>
> That gives the attached plot which is really what I want. Long bodge
> though!*
> *
>
> On 06/10/2023 11:50, Jan van der Laan wrote:
>>
>> Does adding
>>
>> , show.legend = c("color"=TRUE, "fill"=FALSE)
>>
>> to the geom_point do what you want?
>>
>> Best,
>> Jan
>>
>> On 06-10-2023 11:09, Chris Evans via R-help wrote:
>>> library(tidyverse)
>>> tibble(x = 2:9, y = 2:9, c = c(rep("A", 5), rep("B", 3))) ->
>>> tmpTibPoints
>>> tibble(x = c(1, 5, 5, 1), y = c(1, 1, 5, 5), a = rep("a", 4)) ->
>>> tmpTibArea1
>>> tibble(x = c(5, 10, 10, 5), y = c(1, 1, 5, 5), a = rep("b", 4)) ->
>>> tmpTibArea2
>>> tibble(x = c(1, 5, 5, 1), y = c(5, 5, 10, 10), a = rep("c", 4)) ->
>>> tmpTibArea3
>>> tibble(x = c(5, 10, 10, 5), y = c(5, 5, 10, 10), a = rep("d", 4)) ->
>>> tmpTibArea4
>>> bind_rows(tmpTibArea1,
>>> tmpTibArea2,
>>> tmpTibArea3,
>>> tmpTibArea4) -> tmpTibAreas
>>> ggplot(data = tmpTib,
>>> aes(x = x, y = y)) +
>>> geom_polygon(data = tmpTibAreas,
>>> aes(x = x, y = y, fill = a)) +
>>> geom_point(data = tmpTibPoints,
>>> aes(x = x, y = y, fill = c),
>>> pch = 24,
>>> size = 6)
>>
>>
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