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How to change the order of fill aesthetic in faceted ggplot?

By : user2175976
Date : October 14 2020, 02:23 PM
I wish this help you I have a faceted ggplot that is all but done. I cannot seem to get the fill aesthetic to be descending for each group in the dodged plot and across facets. The idea is to look at the plot and quickly recognise the top three categories within each group on the y-axis - and that the colors will be order different for each group. Here is some code to get a representative graph. , Something like this maybe:
code :
df %>% 
  ggplot(aes(mean, reorder(vary_x,mean), fill = cats))+
  geom_bar(stat = 'identity',
           position = 'dodge') +
  facet_grid(.~gender) +

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r/ggplot - Use position_jitterdodge without a fill aesthetic

By : digitalblake
Date : March 29 2020, 07:55 AM
Does that help Ok, here's my workaround. Specify fill along with the aesthetic you really want (color in my case), then blank out fill with scale_fill_manual
I produced a different fake dataset that's more similar to my actual use case, since the diamonds data as specified above isn't really a good candidate for box + points
code :
my_dat <- data.frame(class=factor(rep(1:2, 600)),
                     x=rep(letters[1:3], each=400))

ggplot(my_dat, aes(x=x, y=y, fill=class, color=class)) +
  geom_boxplot(outlier.shape = NA) +
  geom_point(shape = 21, alpha = 0.5, position=position_jitterdodge()) +
  scale_fill_manual(values = rep(NA, 2)) 

Change stacked bar order when aesthetic fill is based on the interaction of two factors

By : iamdishantpatel
Date : March 29 2020, 07:55 AM
hop of those help? Since the column "rainfall" is a factor column, the values are plot in order. The default is in alphabetical order. To change the plotting order, you need to specify the order of the factors.
In this problem adding levels=c('winter to spring', 'summer') to factor definition will change from alphabetical to the desired order.
code :

country     <- rep(c('SE', 'FR', 'BE'), each = 2)
rain_fall   <- rep(c('winter to spring', 'summer'), 3)
amount_rain <- c(100, 10, 95, 5, 70, 2)
order       <- c(1, 1, 2, 2, 3, 3)

DT <- data.table(country, rain_fall, amount_rain, order)
DT[, ':='(country = factor(country), rain_fall = factor(rain_fall, levels=c('winter to spring', 'summer')))]

plot_stacked <- ggplot(DT, aes(x = reorder(country, - order), 
                               y   = amount_rain, fill = interaction(country, rain_fall)) )+
                         geom_bar(stat = "identity")

ggplot2 change fill for color legend when fill also used in aesthetic

By : user3224740
Date : March 29 2020, 07:55 AM
hope this fix your issue For data-related aspects of the legend, theme() won't help you. Instead you need to use guides and override the fill for the color legend:
code :
    geom_bar(aes(id, color=var1, fill=var2))+
    scale_color_manual(values=c("A"="black", "B"="grey"))+
    guides(color = guide_legend(override.aes = list(fill = "white"))) +

How to change the order of aesthetic layers in ggplot?

By : user3653866
Date : March 29 2020, 07:55 AM
I wish this help you You could re-order the levels of your factor and add the color adjustment:
code :
dat %>% ggplot(aes(x = rt, 
                   fill = factor(acc, levels = c(1,0)))) + 
  geom_density(aes(y= ..count..*0.03), alpha = 0.6)+
scale_fill_manual(values = c("1" = "#00BFC4", "0" = "#F8766D"))

ggplot: adding color aesthetic changes stack order

By : Lukasz Somla
Date : March 29 2020, 07:55 AM
it fixes the issue Ah, well here's an answer + work-around. This happens because the aes(color = ...) call is invoked at the geom_text level, rather than in the initial ggplot call.
Unifying to a single aes call will cause geom_col and geom_text to respect the same order, but requires a little hack to get the color aesthetic to show up only for the text layer:
code :
       aes(x, y, fill=category, label=paste0(category, ': ', y),
           color = category == 'a')) +

  # if you call geom_col just like this, you'll get colored borders
  # geom_col() +

  # so you have to blank out the color aesthetic for this geom
  geom_col(color=NA) +

  geom_text(position = position_stack(vjust=.5)) +

  scale_color_manual(values = c("black", 'white'))
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