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Trying to apply a color gradient on a histogram in ggplot

I am not indifferent to colors in ggplot. I am trying to apply a color gradient based on the ranks column below. I am sure that this is a mismatch between color and fill or discrete and continuous variables. I want colors, as shown on the scale in “c” and “d” below, but my closest attempts are “e” and “f”, where the dots are colored but not colored with a gradient. The gradient that I prefer relates to values ​​of rank 1: 100, while all other values ​​are black.

Any help would be most appreciated.

library(reshape2)
library(ggplot2)

co2 <- read.table(
  header=TRUE, text='
rank tons
1     2 1.00
2     4 1.00
3     7 0.00
4    44 0.00
5   104 0.00
6    48 0.05
7    32 0.50
8     5 0.00
9    78 1.00
10   12 0.00
11   15 0.00
12  176 1.00
13  440 0.02
14  249 0.00
15  481 0.00
16  388 0.00
17  458 0.05
18  488 0.00
19  264 0.00
20  203 0.00
            ')

I tried:

#does not add rank as a color
c<- ggplot(data=co2, aes(x = tons, color=rank)) 
c + geom_dotplot(stackgroups = TRUE, binwidth = .05, binpositions = "all")  +
    scale_colour_gradient(limits=c(1, 500))

#also does not add rank as color
d<- ggplot(data=co2, aes(x = tons, color=rank)) 
d + geom_dotplot(stackgroups = TRUE, binwidth = 0.05, method = "histodot")  + 
    scale_colour_gradient(limits=c(1, 100))

#create breaks for fill-- works correctly but no gradient
co2$brks<- cut(co2$rank, c(seq(0, 100, 20), max(co2$rank)))
e<- ggplot(data=co2, aes(x = tons, fill=brks)) 
e + geom_dotplot(stackgroups = TRUE, binwidth = 0.05, method = "histodot")  

#also works correctly but no gradient
f<- ggplot(data=co2, aes(x = tons, fill=brks)) + geom_histogram() 
f

I checked them already, but I still missed something:

+5
2

, :

##Define breaks
co2$brks<- cut(co2$rank, c(seq(0, 100, 5), max(co2$rank)))
#Create a plot object:
g = ggplot(data=co2, aes(x = tons, fill=brks)) +
   geom_dotplot(stackgroups = TRUE, binwidth = 0.05, method = "histodot")

:

 g + scale_fill_manual(values=colorRampPalette(c("white", "red"))( length(co2$brks) ))

enter image description here

+4

+ scale_fill_brewer(palette="RdYlBu")

. :

library(reshape2)
library(ggplot2)

co2 <- read.table(
  header=TRUE, text='
rank tons
1     2 1.00
2     4 1.00
3     7 0.00
4    44 0.00
5   104 0.00
6    48 0.05
7    32 0.50
8     5 0.00
9    78 1.00
10   12 0.00
11   15 0.00
12  176 1.00
13  440 0.02
14  249 0.00
15  481 0.00
16  388 0.00
17  458 0.05
18  488 0.00
19  264 0.00
20  203 0.00
            ')                                                                                                          

#create breaks for fill--
co2$brks<- cut(co2$rank, c(seq(0, 100, 20), max(co2$rank)))
e<- ggplot(data=co2, aes(x = tons, fill=brks)) 
e + geom_dotplot(stackgroups = TRUE, binwidth = 0.05, method = "histodot")  + scale_fill_brewer(palette="RdYlBu")

#also works correctly!
ggplot(data=co2, aes(x = tons, fill=brks)) + geom_histogram() + scale_fill_brewer(palette="RdYlBu")
+1

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