<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>R on 桑峰</title><link>https://isangfeng.github.io/tags/r/</link><description>Recent content in R on 桑峰</description><generator>Hugo -- gohugo.io</generator><language>zh-cn</language><copyright>© 2026 桑峰</copyright><lastBuildDate>Mon, 08 Apr 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://isangfeng.github.io/tags/r/index.xml" rel="self" type="application/rss+xml"/><item><title>R语言中的异常处理：TryCatch</title><link>https://isangfeng.github.io/posts/2024/2024-04-08_trycatchinr/</link><pubDate>Mon, 08 Apr 2024 00:00:00 +0000</pubDate><guid>https://isangfeng.github.io/posts/2024/2024-04-08_trycatchinr/</guid><description>TryCatch in R</description></item><item><title>周总结-tibble中添加行</title><link>https://isangfeng.github.io/posts/2023/09/20230920_weeklynotes/</link><pubDate>Wed, 20 Sep 2023 00:00:00 +0000</pubDate><guid>https://isangfeng.github.io/posts/2023/09/20230920_weeklynotes/</guid><description>&lt;h2 class="relative group"&gt;Add a new row into a empty tibble in R
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&lt;p&gt;There is a simple example below.&lt;/p&gt;</description></item><item><title>R包安装报错</title><link>https://isangfeng.github.io/posts/2022/2022-09-09-installrpackageerror/</link><pubDate>Fri, 09 Sep 2022 00:00:00 +0000</pubDate><guid>https://isangfeng.github.io/posts/2022/2022-09-09-installrpackageerror/</guid><description>&lt;h2 class="relative group"&gt;Error: C++14 standard requested but CXX14 is not defined
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&lt;p&gt;参考：https://www.zxzyl.com/archives/1283/&lt;/p&gt;</description></item><item><title>周总结-自定义Colormap/误差棒柱状图</title><link>https://isangfeng.github.io/posts/2021/2021-11-19-weeklysummary/</link><pubDate>Fri, 19 Nov 2021 00:00:00 +0000</pubDate><guid>https://isangfeng.github.io/posts/2021/2021-11-19-weeklysummary/</guid><description>&lt;h3 class="relative group"&gt;自定义Colormap
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&lt;p&gt;在一些场景下，我们需要自己构造数字与颜色的对应关系。比如，我们在探究每个ROI随龄变化的趋势时，我们需要将回归方程中年龄的系数展示在脑图上。朴素的想法是，我构造一个关于系数与颜色的映射关系，给定某一系数，就返回相应的颜色。实现方法如下：&lt;/p&gt;</description></item><item><title>周总结-并行/annot文件/ggplot2字体</title><link>https://isangfeng.github.io/posts/2021/2021-09-03-weeklysummary/</link><pubDate>Fri, 03 Sep 2021 00:00:00 +0000</pubDate><guid>https://isangfeng.github.io/posts/2021/2021-09-03-weeklysummary/</guid><description>&lt;h2 class="relative group"&gt;Python并行处理
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&lt;p&gt;Python 中的concurrent包提供了对于并行运行的接口，包括进程级并行和线程级并行。下面是一个例子。&lt;/p&gt;</description></item><item><title>作图-R语言中的冲击图(Alluvial)</title><link>https://isangfeng.github.io/posts/2021/2021-05-08-alluvialdiagram/</link><pubDate>Sat, 08 May 2021 00:00:00 +0000</pubDate><guid>https://isangfeng.github.io/posts/2021/2021-05-08-alluvialdiagram/</guid><description>&lt;p&gt;冲击图可以非常直观地描述一组观测值的多个离散变量的情况。&lt;/p&gt;
&lt;p&gt;R语言中生成冲击图需要依赖包&lt;strong&gt;ggalluvial&lt;/strong&gt;. 使用以下代码安装依赖包。&lt;/p&gt;</description></item><item><title>R语言基本统计</title><link>https://isangfeng.github.io/posts/2021/2021-05-04-r-basic-statistic/</link><pubDate>Tue, 04 May 2021 00:00:00 +0000</pubDate><guid>https://isangfeng.github.io/posts/2021/2021-05-04-r-basic-statistic/</guid><description>&lt;p&gt;本文为笔者在学习b站up主@&lt;a href="https://space.bilibili.com/43536169?spm_id_from=333.788.b_765f7570696e666f.1" target="_blank" rel="noreferrer"&gt;学术数据分析及可视化&lt;/a&gt;相关视频的笔记。文中只是笔者个人的理解，描述也只是便于自己理解。在使用相关内容时，还需要进一步查看相关的手册或帮助文档。&lt;/p&gt;

&lt;h2 class="relative group"&gt;相关
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&lt;p&gt;cor()用于计算两个向量的相关系数。ggm::pcor()用于计算偏相关系数。这两个函数只能计算相关系数。cor.test(), psych::cor.test和psych::pcor.test()分别计算相关系数和偏相关系数及其显著性检验的结果。&lt;/p&gt;</description></item><item><title>作图-ggplot2中的直方图和条形图</title><link>https://isangfeng.github.io/posts/2021/2021-04-19-barplot/</link><pubDate>Mon, 19 Apr 2021 00:00:00 +0000</pubDate><guid>https://isangfeng.github.io/posts/2021/2021-04-19-barplot/</guid><description>&lt;p&gt;本文用于记录ggplot2作图相关的代码，会不定期更新。&lt;/p&gt;
&lt;p&gt;示例数据格式为&lt;/p&gt;</description></item><item><title>利用blogdown建立个人博客</title><link>https://isangfeng.github.io/posts/2021/2021-04-04-blogdown/</link><pubDate>Sun, 04 Apr 2021 00:00:00 +0000</pubDate><guid>https://isangfeng.github.io/posts/2021/2021-04-04-blogdown/</guid><description>&lt;h2 class="relative group"&gt;准备工作
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&lt;p&gt;安装RStudio和R包blogdown。&lt;/p&gt;</description></item></channel></rss>