I have dataframe with 2 categorical variables and built bar chart via ggplot. The only problem is that Category: "Canada" and Category: "USA" have different categorical variables, that's why on the y-axis, as you see J,G in Canada and F,B in the USA are empty spaces.
Could you tell me how to avoid this issue? Also, I want to order bars in Canada and in USA descending by positive values
library(tidyverse)
df <- data.frame (Origin = c("Canada", "Canada","Canada", "Canada","Canada", "Canada","USA","USA","USA","USA","USA","USA"),
Model = c("A","B","C","D","E","F","A","G","C","D","E","J"),
poschange = c(60, 45,34,56, 65, 44,40, 55, 35, 24,34,12),
negchange = c(-5,-2,-0.5,-2,-1,-0.05,-1,-3,-0.1,-3,-1.5,-0.9))
df2 <- df %>% pivot_longer(., cols=c('poschange','negchange'),
names_to = 'value_category') %>%
mutate(Groups = paste(Origin, Model),
value_category = factor(value_category, levels = c("negchange", "poschange")))
my_color = c("A" = '#7fc97f', "B" = '#beaed4', "C" = '#fdc086',
"D" = '#ffff99', "E" = '#386cb0', "F" = '#f0027f', "white" = "white","G"="black","J"="blue")
ggplot(df2, aes(value, Model,
fill = ifelse(value_category == "negchange", "white", Model),
color = Model))
geom_col(position = "dodge")
scale_fill_manual(values = my_color, breaks = df2$Model)
scale_color_manual(values = my_color, breaks = df2$Model)
labs(fill = "Model")
facet_grid(Origin ~ ., switch = "y")
theme(axis.text.x = element_text(angle = 90),
strip.background = element_rect(fill = "white"),
strip.placement = "outside",
strip.text.y.left = element_text(angle = 0),
panel.spacing = unit(0, "lines"))
CodePudding user response:
To solve the empty bar issue, @Carl has given a feasible approach. To reorder the bars of positive and negative values, you need to set levels
in factor
(in this case, in the fill
argument).
Also, remember the my_color
vector should contain ALL colors for Model
that you are going to plot.
library(tidyverse)
df <- data.frame (Origin = c("Canada", "Canada","Canada", "Canada","Canada", "Canada","USA","USA","USA","USA","USA","USA"),
Model = c("A","B","C","D","E","F","A","G","C","D","E","J"),
poschange = c(60, 45,34,56, 65, 44,40, 55, 35, 24,34,12),
negchange = c(-5,-2,-0.5,-2,-1,-0.05,-1,-3,-0.1,-3,-1.5,-0.9))
df2 <- df %>% pivot_longer(., cols=c('poschange','negchange'),
names_to = 'value_category') %>%
mutate(Groups = paste(Origin, Model))
my_color = c("A" = '#7fc97f', "B" = '#beaed4', "C" = '#fdc086',
"D" = '#ffff99', "E" = '#386cb0', "F" = '#f0027f',
"G" = "pink", "J" = "firebrick", "white" = "white")
ggplot(df2, aes(value, Model,
fill = factor(ifelse(value_category == "negchange", "white", Model),
levels = c("white", unique(Model))),
color = Model))
geom_col(position = "dodge")
scale_fill_manual(values = my_color, breaks = df2$Model)
scale_color_manual(values = my_color, breaks = df2$Model)
labs(fill = "Model")
facet_grid(Origin ~ ., switch = "y", scale = "free_y")
theme(axis.text.x = element_text(angle = 90),
strip.background = element_rect(fill = "white"),
strip.placement = "outside",
strip.text.y.left = element_text(angle = 0),
panel.spacing = unit(0, "lines"))
Created on 2022-05-03 by the reprex package (v2.0.1)
CodePudding user response:
Add scales = "free_y
and reorder_within
:
library(tidyverse)
df <- data.frame (Origin = c("Canada", "Canada","Canada", "Canada","Canada", "Canada","USA","USA","USA","USA","USA","USA"),
Model = c("A","B","C","D","E","F","A","G","C","D","E","J"),
poschange = c(60, 45,34,56, 65, 44,40, 55, 35, 24,34,12),
negchange = c(-5,-2,-0.5,-2,-1,-0.05,-1,-3,-0.1,-3,-1.5,-0.9))
df2 <- df %>% pivot_longer(., cols=c('poschange','negchange'),
names_to = 'value_category') %>%
mutate(Groups = paste(Origin, Model),
value_category = factor(value_category, levels = c("negchange", "poschange")),
)
my_color = c("A" = '#7fc97f', "B" = '#beaed4', "C" = '#fdc086',
"D" = '#ffff99', "E" = '#386cb0', "F" = '#f0027f', "white" = "white","G"="black","J"="blue")
ggplot(df2, aes(value, tidytext::reorder_within(Model, value, Origin),
fill = ifelse(value_category == "negchange", "white", Model),
color = Model))
geom_col(position = "dodge")
scale_fill_manual(values = my_color, breaks = df2$Model)
scale_color_manual(values = my_color, breaks = df2$Model)
tidytext::scale_y_reordered()
labs(fill = "Model")
facet_grid(Origin ~ ., switch = "y", scales = "free_y")
theme(axis.text.x = element_text(angle = 90),
strip.background = element_rect(fill = "white"),
strip.placement = "outside",
strip.text.y.left = element_text(angle = 0),
panel.spacing = unit(0, "lines"))
Created on 2022-05-03 by the reprex package (v2.0.1)