R Ggplot2: Stat_Count() Must Not Be Used with a Y Aesthetic Error in Bar Graph

R ggplot2: stat_count() must not be used with a y aesthetic error in Bar graph

First off, your code is a bit off. aes() is an argument in ggplot(), you don't use ggplot(...) + aes(...) + layers

Second, from the help file ?geom_bar:

By default, geom_bar uses stat="count" which makes the height of the
bar proportion to the number of cases in each group (or if the weight
aethetic is supplied, the sum of the weights). If you want the heights
of the bars to represent values in the data, use stat="identity" and
map a variable to the y aesthetic.

You want the second case, where the height of the bar is equal to the conversion_rate So what you want is...

data_country <- data.frame(country = c("China", "Germany", "UK", "US"), 
            conversion_rate = c(0.001331558,0.062428188, 0.052612025, 0.037800687))
ggplot(data_country, aes(x=country,y = conversion_rate)) +geom_bar(stat = "identity")

Result:

Error: stat_count() can only have an x or y aesthetic

You need to include stat='identity', which is basically telling ggplot2 you will provide the y-values for the barplot, rather than counting the aggregate number of rows for each x value, which is the default stat=count

ggplot(dataset2, aes(x=Region, y= male)) +
     geom_bar(stat='identity')

Solution For Side By Side Bar Graph Error: can only have an x or y aesthetic

If you want to have a grouped bar chart then add group aesthetics like this:

  ggplot(data = mtcars, aes(ride_month, ride_duration, fill=member_casual, group = member_casual))+
    geom_col(position = position_dodge()) 

Here is an example with mtcars dataset:

  ggplot(data = mtcars, aes(cyl, mpg, fill=am, group = am))+
    geom_col(position = position_dodge())

Error preventing from producing bar chart

I guess this might be what you are after

ggplot(data = cbind(id = 1,young), aes(x = id, y = p, fill = Young)) +
  geom_bar(position = "fill", stat = "identity") +
  labs(x = "Age Bracket", y = "Proportion")

How to re-group a bar graph by specific groups and order of frequency

Update after OP request: Removed prior answer:

Here we first manipulate the data an bring in the order we want to plot. Then we use fct_inorder:

library(tidyverse)
library(ggpubr)
df1 %>% 
  mutate(Phenotype = factor(Phenotype, levels = c("Blue", "Red", "Pink", "White"))) %>% 
  add_count(Genotype) %>% 
  arrange(Phenotype, -n) %>% 
  ggplot(aes(x=fct_inorder(Genotype), y=n, fill=Phenotype)) + 
  geom_bar(stat="identity", position = "dodge", color = "black") +
  theme_pubr() +
  theme(axis.text.x = element_text(angle = 270, vjust = 1, hjust = 1, size = 7),
        axis.text.y = element_text(size = 8)) +
  xlab("Genotypes by order of phenotype and freq") +
  scale_fill_manual(values = c("blue","red", "pink", "white"))

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