entityMap|blocks|key|8ou2|text|也许避免使用循环会让它更安全，更不容易出错？|type|unstyled|depth|inlineStyleRanges|entityRanges|data|6mh4o|testdata$Label[COL1+>+0]+=+'Label+4'
testdata$Label[COL1+>+6]+=+'Label+3'
testdata$Label[COL1+>+15]+=+'Label+2'
testdata$Label[COL1+>+25]+=+'Label+1'
``|code-block|syntax|javascript|3evp1^0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|I|9|@]|A|@]|B|$]]|$2|C|4|D|6|E|8|J|9|@]|A|@]|B|$F|G]]|$2|H|4|-4|6|7|8|K|9|@]|A|@]|B|$]]]]

Maybe avoiding using loops would make it safer and less error-prone?
<pre><code>testdata$Label[COL1 &gt; 0] = 'Label 4'
testdata$Label[COL1 &gt; 6] = 'Label 3'
testdata$Label[COL1 &gt; 15] = 'Label 2'
testdata$Label[COL1 &gt; 25] = 'Label 1'
``
</code></pre>

entityMap|blocks|key|dbjud|text|问题是i只是反映行号(顺序)，而不是COL1的值|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|45le0|有几种方法可以做到这一点，但我尝试了一些向量化的方法，如下所示：|b0li0|ifelse(testdata$COL1++>+25,
+++++++"Label+1",
+++++++ifelse(testdata$COL1++<=+2,
++++++++++++++"Label+2",
++++++++++++++ifelse(testdata$COL1<=+15,
+++++++++++++++++++++"Label+3",
+++++++++++++++++++++ifelse(testdata$COL1+<+7,
++++++++++++++++++++++++++++"Label+4",
++++++++++++++++++++++++++++"")
+++++++++++++++++++++)
++++++++++++++)
+++++++)|code-block|syntax|javascript|acr96^0|3|1|I|4|0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|O|9|@$A|P|B|Q|C|D]|$A|R|B|S|C|D]]|E|@]|F|$]]|$2|G|4|H|6|7|8|T|9|@]|E|@]|F|$]]|$2|I|4|J|6|K|8|U|9|@]|E|@]|F|$L|M]]|$2|N|4|-4|6|7|8|V|9|@]|E|@]|F|$]]]]

The issue is that <code>i</code> is just reflecting the row number (order) not the value of <code>COL1</code>
There are a few ways of doing this, but I try something vectorized like this:
<pre><code>ifelse(testdata$COL1 &gt; 25,
 &quot;Label 1&quot;,
 ifelse(testdata$COL1 &lt;= 2,
 &quot;Label 2&quot;,
 ifelse(testdata$COL1&lt;= 15,
 &quot;Label 3&quot;,
 ifelse(testdata$COL1 &lt; 7,
 &quot;Label 4&quot;,
 &quot;&quot;)
 )
 )
 )
</code></pre>

entityMap|blocks|key|e628i|text|我认为如果你使用case_when类型的函数，这一点会更清楚，它基本上是一个if+else语句链。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5dfoh|library(tidyverse)

testdata+%25>%25
+mutate(filter_col+=+case_when(
++++COL1+<=+7++~+"Label+4",
++++COL1+<=+15+~+"Label+3",
++++COL1+<=+25+~+"Label+2",
++++COL1+>+25++~+"Label+1",
++++)
++)|code-block|syntax|javascript|4ep7^0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|I|9|@]|A|@]|B|$]]|$2|C|4|D|6|E|8|J|9|@]|A|@]|B|$F|G]]|$2|H|4|-4|6|7|8|K|9|@]|A|@]|B|$]]]]

I think this is more clear if you use a case_when type of function, it is basicly a chain of if else statements.
<pre><code>library(tidyverse)

testdata %&gt;%
 mutate(filter_col = case_when(
 COL1 &lt;= 7 ~ &quot;Label 4&quot;,
 COL1 &lt;= 15 ~ &quot;Label 3&quot;,
 COL1 &lt;= 25 ~ &quot;Label 2&quot;,
 COL1 &gt; 25 ~ &quot;Label 1&quot;,
 )
 )
</code></pre>

entityMap|blocks|key|3k8dv|text|cut是这个函数的基本R函数。变量(label_factor、label_char)之间的区别在于它们的类型。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|f2sad|set.seed(123)
df+<-+data.frame(x+=+runif(30,+0,+30))
df$label_factor+<-+cut(df$x,+breaks+=+c(-Inf,+7,+15,+25,+Inf),+labels+=+paste("Label",+1:4))
df$label_char+<-+as.character(df$label_factor)
df
#x+label_factor+label_char
#1+++8.627326++++++Label+2++++Label+2
#2++23.649154++++++Label+3++++Label+3
#3++12.269308++++++Label+2++++Label+2
#4++26.490522++++++Label+4++++Label+4|code-block|syntax|javascript|6ncot^0|0|3|I|C|V|A|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|M|9|@$A|N|B|O|C|D]|$A|P|B|Q|C|D]|$A|R|B|S|C|D]]|E|@]|F|$]]|$2|G|4|H|6|I|8|T|9|@]|E|@]|F|$J|K]]|$2|L|4|-4|6|7|8|U|9|@]|E|@]|F|$]]]]

<code>cut</code> is the base R function for this. The difference between the variables (<code>label_factor</code>, <code>label_char</code>) is their type.
<pre><code>set.seed(123)
df &lt;- data.frame(x = runif(30, 0, 30))
df$label_factor &lt;- cut(df$x, breaks = c(-Inf, 7, 15, 25, Inf), labels = paste(&quot;Label&quot;, 1:4))
df$label_char &lt;- as.character(df$label_factor)
df
#x label_factor label_char
#1 8.627326 Label 2 Label 2
#2 23.649154 Label 3 Label 3
#3 12.269308 Label 2 Label 2
#4 26.490522 Label 4 Label 4
</code></pre>

I am trying to automate a process using R so it can be done rapidly with new data. I have a data frame with an empty label column, that can have 4 labels based on the size of the value in column 1.
I currently have this
<pre><code>testdata &lt;- as.data.frame(document)
COL1 &lt;- testdata$COL1
Label &lt;- testdata$Label

for(i in 1:length(COL1)){
 if(i &gt; 25){
 Label &lt;- &quot;Label 1&quot;
 } else if(i &lt;= 25){
 Label &lt;- &quot;Label 2&quot;
 } else if(i &lt;= 15){
 Label &lt;- &quot;Label 3&quot;
 } else if (i &lt; 7){
 Label &lt;-&quot; Label 4&quot;
 }
}
</code></pre>
The issue I am having is the whole column is filling in as &quot;Label 1&quot; (the i &gt; 25 data label) no matter which order I put them in they all fill in with &quot;Label 1&quot;.
I am assuming there is an error with the i &gt; 25 statement but I can't see it.
Thank you

Filling in a data frame using else if

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。

文章

问答

视频

学习中心

腾讯云实验室

直播

竞赛

腾讯云代码分析专区

腾讯iOA零信任安全管理系统专区

腾讯云架构师技术同盟交流圈

腾讯云数据库专区

腾讯云顾问专区

腾讯云原生专区

腾讯混元专区

腾讯云TCE专区

腾讯云Lighthouse专区

腾讯云HAI专区

腾讯云Edgeone专区

腾讯云存储专区

腾讯云智能专区

腾讯轻联专区 

腾讯云开发专区

TAPD专区

腾讯轻量云游戏服专区

腾讯云最具价值专家

腾讯云架构师技术同盟

腾讯云创作之星

腾讯云开发者先锋

腾讯云代码助手

云原生构建

TAPD 敏捷项目管理

Cloud Studio

SDK中心

API中心

命令行工具

涵盖代码开发、场景应用、自动测试全流程，助你从零构建专属AI助手

一站式MCP教程库，解锁AI应用新玩法

我正在尝试使用R自动化一个过程，这样它就可以用新数据快速完成。我有一个数据框，它有一个空的标签列，它可以有4个标签，基于列1中的值的大小。 我现在有这个 testdata <- as.data.frame(document)COL1 <- testdata$COL1Label <- testdata$Labelfor...

问使用else if填充数据帧
EN

Stack Overflow用户

社区

活动

圈层

关于

腾讯云开发者

热门产品

热门推荐

更多推荐

问使用else if填充数据帧EN