blocks|key|1418895|text|不如：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1418896|vals+<-+c(239,+52,+9)
val_names+<-+sprintf("%25s+(%25s)",+c("Negative",+"Positive",+"Neutral"),+scales::percent(round(vals/sum(vals),+2)))
names(vals)+<-+val_names

waffle::waffle(vals)+%2B
++ggthemes::scale_fill_tableau(name=NULL)|code-block|syntax|javascript|1418897|​|1418898|📷|atomic|offset|length|1418899|1418900|而不是？|1418901|它比饼形图“更新鲜”，而且你现在在那些饼状标签上得到的精度还没有达到你想要的水平。|1418902|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://developer.qcloudimg.com/http-save/yehe-900000/a3d8b14ac88f8d5703378add8e22e270.png|imageAlt^0|0|0|0|0|1|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|11|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|12|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|13|8|@]|9|@]|A|$]]|$1|I|3|J|5|K|7|14|8|@]|9|@$L|15|M|16|1|17]]|A|$]]|$1|N|3|H|5|6|7|18|8|@]|9|@]|A|$]]|$1|O|3|P|5|6|7|19|8|@]|9|@]|A|$]]|$1|Q|3|R|5|6|7|1A|8|@]|9|@]|A|$]]|$1|S|3|-4|5|6|7|1B|8|@]|9|@]|A|$]]]|T|$U|$5|V|W|X|A|$Y|Z|10|-4]]]]

How about:

<pre><code>vals &lt;- c(239, 52, 9)
val_names &lt;- sprintf("%s (%s)", c("Negative", "Positive", "Neutral"), scales::percent(round(vals/sum(vals), 2)))
names(vals) &lt;- val_names

waffle::waffle(vals) +
 ggthemes::scale_fill_tableau(name=NULL)
</code></pre>

<a href="https://i.stack.imgur.com/zCDqE.png" rel="noreferrer"><img src="https://i.stack.imgur.com/zCDqE.png" alt="enter image description here"></a>

instead?

It's "fresher" than a pie chart and you aren't really gaining anything with the level of precision you have/want on those pie labels now.

blocks|key|371470|text|我同意@hrbrmstr，华夫饼图表会更好。但要回答最初的问题..。您的问题来自于绘制楔形的顺序，这将默认为字母顺序。当您根据数据框架中的顺序计算标签放置位置时，这是错误的。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|371471|作为可读性的一般原则，在绘制图形的实际代码之前，对标签和位置进行所有花哨的计算。|371472|library(dplyr)
library(ggplot2)
library(ggmap)+#+for+theme_nothing
df+<-+data.frame(value+=+c(52,+239,+9),
+++++++++++++++++Group+=+c("Positive",+"Negative",+"Neutral"))+%25>%25
+++#+factor+levels+need+to+be+the+opposite+order+of+the+cumulative+sum+of+the+values
+++mutate(Group+=+factor(Group,+levels+=+c("Neutral",+"Negative",+"Positive")),
++++++++++cumulative+=+cumsum(value),
++++++++++midpoint+=+cumulative+-+value+/+2,
++++++++++label+=+paste0(Group,+"+",+round(value+/+sum(value)+*+100,+1),+"%25"))

ggplot(df,+aes(x+=+1,+weight+=+value,+fill+=+Group))+%2B
+++geom_bar(width+=+1,+position+=+"stack")+%2B
+++coord_polar(theta+=+"y")+%2B
+++geom_text(aes(x+=+1.3,+y+=+midpoint,+label+=+label))+%2B
+++theme_nothing()+++++++++++++++|code-block|syntax|javascript|371473|​|371474|📷|atomic|offset|length|371475|371476|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://developer.qcloudimg.com/http-save/yehe-900000/e27a739a5a892e7a261b0676e8a3ee63.png|imageAlt^0|0|0|0|0|0|1|0|0|0^^$0|@$1|2|3|4|5|6|7|Z|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|10|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|11|8|@]|9|@]|A|$G|H]]|$1|I|3|J|5|6|7|12|8|@]|9|@]|A|$]]|$1|K|3|L|5|M|7|13|8|@]|9|@$N|14|O|15|1|16]]|A|$]]|$1|P|3|J|5|6|7|17|8|@]|9|@]|A|$]]|$1|Q|3|-4|5|6|7|18|8|@]|9|@]|A|$]]]|R|$S|$5|T|U|V|A|$W|X|Y|-4]]]]

I agree with @hrbrmstr a waffle chart would be better. But to answer the original question... your problem comes from the order in which the wedges are drawn, which will default to alphabetical. As you calculate where to place the labels based on the ordering in your data frame, this works out wrong.

As a general principle of readability, do all the fancy calculations of labels and positions they go before the actual code drawing the graphic.

<pre><code>library(dplyr)
library(ggplot2)
library(ggmap) # for theme_nothing
df &lt;- data.frame(value = c(52, 239, 9),
 Group = c("Positive", "Negative", "Neutral")) %&gt;%
 # factor levels need to be the opposite order of the cumulative sum of the values
 mutate(Group = factor(Group, levels = c("Neutral", "Negative", "Positive")),
 cumulative = cumsum(value),
 midpoint = cumulative - value / 2,
 label = paste0(Group, " ", round(value / sum(value) * 100, 1), "%"))

ggplot(df, aes(x = 1, weight = value, fill = Group)) +
 geom_bar(width = 1, position = "stack") +
 coord_polar(theta = "y") +
 geom_text(aes(x = 1.3, y = midpoint, label = label)) +
 theme_nothing() 
</code></pre>

<a href="https://i.stack.imgur.com/mWUS5.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/mWUS5.png" alt="enter image description here"></a>

blocks|key|1418945|text|下面是一个与饼图中组的顺序和标签的顺序相匹配的想法。我通过value对数据进行降序排序。我还预先计算了百分比。当我画出这个图形时，我用Group指定了mydf中的顺序(即负的、正的和中性的)。当geom_label_repel()将标签添加到饼中时，标签的顺序与饼的顺序相同。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1418946|library(dplyr)
library(ggplot2)
library(ggrepel)
library(forcats)
library(scales)

mydf+%25>%25
arrange(desc(value))+%25>%25
mutate(prop+=+percent(value+/+sum(value)))+->+mydf+

pie+<-+ggplot(mydf,+aes(x+=+"",+y+=+value,+fill+=+fct_inorder(Group)))+%2B
+++++++geom_bar(width+=+1,+stat+=+"identity")+%2B
+++++++coord_polar("y",+start+=+0)+%2B
+++++++geom_label_repel(aes(label+=+prop),+size=5,+show.legend+=+F,+nudge_x+=+1)+%2B
+++++++guides(fill+=+guide_legend(title+=+"Group"))|code-block|syntax|javascript|1418947|​|1418948|📷|atomic|1418949|1418950|数据|1418951|mydf+<-+structure(list(Group+=+structure(c(3L,+1L,+2L),+.Label+=+c("Negative",+
"Neutral",+"Positive"),+class+=+"factor"),+value+=+c(52L,+239L,+
9L)),+.Names+=+c("Group",+"value"),+class+=+"data.frame",+row.names+=+c("1",+
"2",+"3"))|1418952|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://developer.qcloudimg.com/http-save/yehe-900000/04b8de10b689d54303094a1d35ab5abe.png|imageAlt^0|T|5|1V|5|23|4|2P|I|0|0|0|0|1|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|13|8|@$9|14|A|15|B|C]|$9|16|A|17|B|C]|$9|18|A|19|B|C]|$9|1A|A|1B|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|1C|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|1D|8|@]|D|@]|E|$]]|$1|M|3|N|5|O|7|1E|8|@]|D|@$9|1F|A|1G|1|1H]]|E|$]]|$1|P|3|L|5|6|7|1I|8|@]|D|@]|E|$]]|$1|Q|3|R|5|6|7|1J|8|@]|D|@]|E|$]]|$1|S|3|T|5|H|7|1K|8|@]|D|@]|E|$I|J]]|$1|U|3|-4|5|6|7|1L|8|@]|D|@]|E|$]]]|V|$W|$5|X|Y|Z|E|$10|11|12|-4]]]]

Here is an idea matching the order of groups in the pie chart and the order of labels. I sorted the data in descending order by <code>value</code>. I also calculated the percentage in advance. When I drew the ggplot figure, I specified the order of <code>Group</code> in the order in <code>mydf</code> (i.e., Negative, Positive, and Neutral) using <code>fct_inorder()</code>. When <code>geom_label_repel()</code> added labels to the pie, the order of label was identical to that of the pie.

<pre><code>library(dplyr)
library(ggplot2)
library(ggrepel)
library(forcats)
library(scales)

mydf %&gt;%
arrange(desc(value)) %&gt;%
mutate(prop = percent(value / sum(value))) -&gt; mydf 

pie &lt;- ggplot(mydf, aes(x = "", y = value, fill = fct_inorder(Group))) +
 geom_bar(width = 1, stat = "identity") +
 coord_polar("y", start = 0) +
 geom_label_repel(aes(label = prop), size=5, show.legend = F, nudge_x = 1) +
 guides(fill = guide_legend(title = "Group"))
</code></pre>

<a href="https://i.stack.imgur.com/4h0PQ.png" rel="noreferrer"><img src="https://i.stack.imgur.com/4h0PQ.png" alt="enter image description here"></a>

DATA

<pre><code>mydf &lt;- structure(list(Group = structure(c(3L, 1L, 2L), .Label = c("Negative", 
"Neutral", "Positive"), class = "factor"), value = c(52L, 239L, 
9L)), .Names = c("Group", "value"), class = "data.frame", row.names = c("1", 
"2", "3"))
</code></pre>

blocks|key|1418982|text|例如，我用400个车辆创建了一个dataframe+e3：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1418983|e3+<-+data.frame(400)
e3+<-+rep(+c("car",+"truck",+"other",+"bike",+"suv"),+c(60,+120,+20,+50,+150))|code-block|syntax|javascript|1418984|由于饼图对于比例特别有用，让我们来看看我们的车辆比例，在这个例子中，我们将报告图表：|1418985|paste(prop.table(table(e3))*100,+"%25",+sep+=+"")
[1]+"15%25"+++"5%25"++++"30%25"+++"12.5%25"+"37.5%25"|1418986|然后你可以画你的饼图，|1418987|pie(table(e3),+labels+=+paste(round(prop.table(table(e3))*100),+"%25",+sep+=+""),+
col+=+heat.colors(5),+main+=+"Vehicles+proportions+-+n:+400")|1418988|​|1418989|📷|atomic|offset|length|1418990|1418991|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://developer.qcloudimg.com/http-save/yehe-900000/1109a8bf1fa33cff1b8af44d1a226ad9.png|imageAlt^0|0|0|0|0|0|0|0|0|1|0|0|0^^$0|@$1|2|3|4|5|6|7|15|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|16|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|17|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|18|8|@]|9|@]|A|$E|F]]|$1|K|3|L|5|6|7|19|8|@]|9|@]|A|$]]|$1|M|3|N|5|D|7|1A|8|@]|9|@]|A|$E|F]]|$1|O|3|P|5|6|7|1B|8|@]|9|@]|A|$]]|$1|Q|3|R|5|S|7|1C|8|@]|9|@$T|1D|U|1E|1|1F]]|A|$]]|$1|V|3|P|5|6|7|1G|8|@]|9|@]|A|$]]|$1|W|3|-4|5|6|7|1H|8|@]|9|@]|A|$]]]|X|$Y|$5|Z|10|11|A|$12|13|14|-4]]]]

For example, I create a dataframe e3 with 400 vehicles:

<pre><code>e3 &lt;- data.frame(400)
e3 &lt;- rep( c("car", "truck", "other", "bike", "suv"), c(60, 120, 20, 50, 150))
</code></pre>

Since pie charts are especially useful for proportions, let's have a look on the proportions of our vehicles, than we will report on the graph in this case:

<pre><code>paste(prop.table(table(e3))*100, "%", sep = "")
[1] "15%" "5%" "30%" "12.5%" "37.5%"
</code></pre>

Then you can draw your pie chart,

<pre><code>pie(table(e3), labels = paste(round(prop.table(table(e3))*100), "%", sep = ""), 
col = heat.colors(5), main = "Vehicles proportions - n: 400")
</code></pre>

<a href="https://i.stack.imgur.com/SPxQr.png" rel="noreferrer"><img src="https://i.stack.imgur.com/SPxQr.png" alt="enter image description here"></a>

blocks|key|373300|text|这是我的例子，只使用基本的R代码。希望能帮上忙。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|373301|以虹膜为例|373302|attach(iris)|code-block|syntax|javascript|373303|检查虹膜的价格比|373304|a<-+table(iris$Species)
class(a)++|373305|然后将表格格式转换为矩阵，以便使用行名代码。|373306|a_mat<-+as.matrix(a)
a_mat|373307|计算每种的比例|373308|a_ratio<-+a_mat[,1]/sum(a_mat[,1])*100
a_ratio|373309|由于每个物种占0.33333+(即33.33333%25)，我只想使用signif()小数点2位。|373310|a_ratio<-+signif(a_ratio,3)
a_ratio|373311|R基基本饼图代码|373312|pie(a_ratio,labels=rownames(a_mat))|373313|进一步添加比率值给标签使用粘贴()|373314|pie(a_ratio,labels=paste(rownames(a_mat),c("33%25","33%25","34%25")))|373315|最后的饼图，请单击此链接|offset|length|373316|entityMap|0|LINK|mutability|MUTABLE|url|https://i.stack.imgur.com/VITAc.jpg^0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|C|0|0^^$0|@$1|2|3|4|5|6|7|1I|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|1J|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|1K|8|@]|9|@]|A|$G|H]]|$1|I|3|J|5|6|7|1L|8|@]|9|@]|A|$]]|$1|K|3|L|5|F|7|1M|8|@]|9|@]|A|$G|H]]|$1|M|3|N|5|6|7|1N|8|@]|9|@]|A|$]]|$1|O|3|P|5|F|7|1O|8|@]|9|@]|A|$G|H]]|$1|Q|3|R|5|6|7|1P|8|@]|9|@]|A|$]]|$1|S|3|T|5|F|7|1Q|8|@]|9|@]|A|$G|H]]|$1|U|3|V|5|6|7|1R|8|@]|9|@]|A|$]]|$1|W|3|X|5|F|7|1S|8|@]|9|@]|A|$G|H]]|$1|Y|3|Z|5|6|7|1T|8|@]|9|@]|A|$]]|$1|10|3|11|5|F|7|1U|8|@]|9|@]|A|$G|H]]|$1|12|3|13|5|6|7|1V|8|@]|9|@]|A|$]]|$1|14|3|15|5|F|7|1W|8|@]|9|@]|A|$G|H]]|$1|16|3|17|5|6|7|1X|8|@]|9|@$18|1Y|19|1Z|1|20]]|A|$]]|$1|1A|3|-4|5|6|7|21|8|@]|9|@]|A|$]]]|1B|$1C|$5|1D|1E|1F|A|$1G|1H]]]]

This is my example, using only the basic R code. Hope it help.

Take iris for example

<pre><code>attach(iris)
</code></pre>

check the the ratio of iris$Species

<pre><code>a&lt;- table(iris$Species)
class(a) 
</code></pre>

then convert table format into matrix in order to use rowname code

<pre><code>a_mat&lt;- as.matrix(a)
a_mat
</code></pre>

calculate the ratio of each Species

<pre><code>a_ratio&lt;- a_mat[,1]/sum(a_mat[,1])*100
a_ratio
</code></pre>

since each Species accounts for 0.33333 (i.e. 33.33333%), I just want 2 decimal places by using signif()

<pre><code>a_ratio&lt;- signif(a_ratio,3)
a_ratio
</code></pre>

basic pie chart code of R base

<pre><code>pie(a_ratio,labels=rownames(a_mat))
</code></pre>

further add ratio values to labels by using paste()

<pre><code>pie(a_ratio,labels=paste(rownames(a_mat),c("33%","33%","34%")))
</code></pre>

<a href="https://i.stack.imgur.com/VITAc.jpg" rel="nofollow noreferrer">final pie chart, please click this link</a>

My data frame looks like 

<pre><code>df
 Group value
1 Positive 52
2 Negative 239
3 Neutral 9
</code></pre>

I would like to make a pie chart of the data frame using ggplot.

<pre><code>pie &lt;- ggplot(df, aes(x="", y=value, fill=Group)) +
 geom_bar(width = 1, stat = "identity") +
 coord_polar("y", start=0) 
</code></pre>

This is my pie chart.

<a href="https://i.stack.imgur.com/QtRU8.png" rel="noreferrer"><img src="https://i.stack.imgur.com/QtRU8.png" alt="enter image description here"></a>

But when I try to add percentage labels on the chart

<pre><code>pie &lt;- ggplot(df, aes(x="", y=value, fill=Group)) +
 geom_bar(width = 1, stat = "identity") +
 coord_polar("y", start=0) +
 geom_text(aes(y = value/2 + c(0, cumsum(value)[-length(value)]),
 label = percent(value/300 )), size=5)
</code></pre>

This is my result.

<a href="https://i.stack.imgur.com/mJZn7.png" rel="noreferrer"><img src="https://i.stack.imgur.com/mJZn7.png" alt="enter image description here"></a>

I have already seen many same question as mine,i.e <a href="https://stackoverflow.com/questions/24803460/r-ggplot2-add-labels-on-facet-pie-chart">R + ggplot2 => add labels on facet pie chart </a> and the solutions are not helping.

Adding percentage labels on pie chart in R

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我的数据框架看起来df Group value1 Positive 522 Negative 2393 Neutral 9我想要制作一个饼图的数据帧使用ggplot。pie <- ggplot(df, aes(x="", y=value, fill=Group)) + geom_b...

问在R中的饼图上添加百分比标签
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问在R中的饼图上添加百分比标签EN