R ggplot2: stat_count()不能与条形图中的 y 审美错误一起使用

我在绘制条形图时出现了这个错误，但我无法消除它，我已经尝试了 qplot 和 ggplot，但仍然出现了同样的错误。

以下是我的代码:

 library(dplyr)
library(ggplot2)


#Investigate data further to build a machine learning model
data_country = data %>%
group_by(country) %>%
summarise(conversion_rate = mean(converted))
#Ist method
qplot(country, conversion_rate, data = data_country,geom = "bar", stat ="identity", fill =   country)
#2nd method
ggplot(data_country)+aes(x=country,y = conversion_rate)+geom_bar()

错误:

  stat_count() must not be used with a y aesthetic

Data _ country 中的数据:

    country conversion_rate
<fctr>           <dbl>
1   China     0.001331558
2 Germany     0.062428188
3      UK     0.052612025
4      US     0.037800687

错误出现在条形图中，而不是在虚线图中。

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小开
最佳答案

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:

enter image description here

小开

I was looking for the same and this may also work 

p.Wages.all.A_MEAN <- Wages.all %>%
group_by(`Career Cluster`, Year)%>%
summarize(ANNUAL.MEAN.WAGE = mean(A_MEAN))

names(p.Wages.all.A_MEAN) [1] "Career Cluster" "Year" "ANNUAL.MEAN.WAGE"

p.Wages.all.a.mean <- ggplot(p.Wages.all.A_MEAN, aes(Year, ANNUAL.MEAN.WAGE , color= `Career Cluster`))+
geom_point(aes(col=`Career Cluster` ), pch=15, size=2.75, alpha=1.5/4)+
theme(axis.text.x = element_text(color="#993333",  size=10, angle=0)) #face="italic",
p.Wages.all.a.mean
小开

when you want to use your data existing in your data frame as y value, you must add stat = "identity" in mapping parameter. Function geom_bar have default y value. For example,

ggplot(data_country)+
geom_bar(mapping = aes(x = country, y = conversion_rate), stat = "identity")
小开

You can use geom_col() directly. See the differences between geom_bar() and geom_col() in this link https://ggplot2.tidyverse.org/reference/geom_bar.html

geom_bar() makes the height of the bar proportional to the number of cases in each group If you want the heights of the bars to represent values in the data, use geom_col() instead. 

ggplot(data_country)+aes(x=country,y = conversion_rate)+geom_col()

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