<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[weixin_49320263的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/weixin_49320263</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; weixin_49320263]]></copyright><item><title><![CDATA[R包**ggNetView**使用---（1）]]></title><link>https://blog.youkuaiyun.com/weixin_49320263/article/details/159588302</link><guid>https://blog.youkuaiyun.com/weixin_49320263/article/details/159588302</guid><author>weixin_49320263</author><pubDate>Sat, 28 Mar 2026 23:38:45 +0800</pubDate><description><![CDATA[随后使用 类Gephi布局算法 对网络进行可视化，将同一模块的节点布局相邻，节点颜色和填充均按模块划分，节点大小在1-5范围内变化，边设置为浅灰色半透明连线，最终生成了一个展示微生物群落内物种关联模式的可视化网络图。这段代码通过gglink_heatmaps函数，将56个环境因子（分为4组）与8个物种进行皮尔逊相关性分析，并以热图的形式展示环境因子组内和组间的关系，同时将环境因子与物种通过网络图连接，直观地展示了环境因子与物种之间的关联。整个过程旨在探索环境因子与物种丰度之间的潜在关系。]]></description><category></category></item><item><title><![CDATA[R语言代码加密（1）]]></title><link>https://blog.youkuaiyun.com/weixin_49320263/article/details/150074840</link><guid>https://blog.youkuaiyun.com/weixin_49320263/article/details/150074840</guid><author>weixin_49320263</author><pubDate>Fri, 08 Aug 2025 23:28:12 +0800</pubDate><description><![CDATA[R语言代码加密（1）]]></description><category></category></item><item><title><![CDATA[zotero自由编辑参考文献格式（2）]]></title><link>https://blog.youkuaiyun.com/weixin_49320263/article/details/149309167</link><guid>https://blog.youkuaiyun.com/weixin_49320263/article/details/149309167</guid><author>weixin_49320263</author><pubDate>Sun, 13 Jul 2025 16:52:55 +0800</pubDate><description><![CDATA[Zotero的CSL样式包含citation和bibliography两部分。citation部分通过disambiguate-*属性解决文献歧义问题：同作者同年文献自动加后缀(2020a/b)，但不扩展作者名或添加全名。collapse=&quot;year&quot;可合并同作者同年文献引用。sort规则按作者和年份排序，layout使用citeKey生成引文格式。该样式还支持自定义参考文献格式名称。]]></description><category></category></item><item><title><![CDATA[Python基础知识之库]]></title><link>https://blog.youkuaiyun.com/weixin_49320263/article/details/148372230</link><guid>https://blog.youkuaiyun.com/weixin_49320263/article/details/148372230</guid><author>weixin_49320263</author><pubDate>Sun, 01 Jun 2025 23:57:52 +0800</pubDate><description><![CDATA[Python基础知识之库]]></description><category></category></item><item><title><![CDATA[R语言错误处理方法大全]]></title><link>https://blog.youkuaiyun.com/weixin_49320263/article/details/148352579</link><guid>https://blog.youkuaiyun.com/weixin_49320263/article/details/148352579</guid><author>weixin_49320263</author><pubDate>Sat, 31 May 2025 16:21:36 +0800</pubDate><description><![CDATA[在R语言的批量运行中，常需要自动跳过错误，继续向下运行。3、purrr 包中possibly实现错误跳过。4、全局实现自动提过错误。捕获错误并返回占位符。]]></description><category></category></item><item><title><![CDATA[大语言模型值ollama使用（1）]]></title><link>https://blog.youkuaiyun.com/weixin_49320263/article/details/148350664</link><guid>https://blog.youkuaiyun.com/weixin_49320263/article/details/148350664</guid><author>weixin_49320263</author><pubDate>Sat, 31 May 2025 12:15:53 +0800</pubDate><description><![CDATA[大语言模型值ollama使用（1）]]></description><category></category></item><item><title><![CDATA[Zotero自由编辑参考文献格式（1）]]></title><link>https://blog.youkuaiyun.com/weixin_49320263/article/details/147277489</link><guid>https://blog.youkuaiyun.com/weixin_49320263/article/details/147277489</guid><author>weixin_49320263</author><pubDate>Wed, 16 Apr 2025 15:44:10 +0800</pubDate><description><![CDATA[Zotero自由编辑参考文献格式（1）]]></description><category></category></item><item><title><![CDATA[R语言网状Meta分析---Meta回归（1）（基于gemtc）]]></title><link>https://blog.youkuaiyun.com/weixin_49320263/article/details/147011712</link><guid>https://blog.youkuaiyun.com/weixin_49320263/article/details/147011712</guid><author>weixin_49320263</author><pubDate>Sat, 05 Apr 2025 15:30:27 +0800</pubDate><description><![CDATA[R语言网状Meta分析---Meta回归（基于gemtc）]]></description><category></category></item><item><title><![CDATA[R语言实现模糊匹配（1）]]></title><link>https://blog.youkuaiyun.com/weixin_49320263/article/details/146503691</link><guid>https://blog.youkuaiyun.com/weixin_49320263/article/details/146503691</guid><author>weixin_49320263</author><pubDate>Tue, 25 Mar 2025 20:05:32 +0800</pubDate><description><![CDATA[（2）一个向量所有字符串的对比。使用textreuse包。（1）两个字符串的对比。]]></description><category></category></item><item><title><![CDATA[R语言实现GWAS meta分析（1）]]></title><link>https://blog.youkuaiyun.com/weixin_49320263/article/details/143195767</link><guid>https://blog.youkuaiyun.com/weixin_49320263/article/details/143195767</guid><author>weixin_49320263</author><pubDate>Sat, 26 Oct 2024 20:00:04 +0800</pubDate><description><![CDATA[R语言实现GWAS meta分析（1）]]></description><category></category></item><item><title><![CDATA[R语言复杂抽样调查数据统计描述和分析]]></title><link>https://blog.youkuaiyun.com/weixin_49320263/article/details/143083919</link><guid>https://blog.youkuaiyun.com/weixin_49320263/article/details/143083919</guid><author>weixin_49320263</author><pubDate>Sat, 19 Oct 2024 21:27:34 +0800</pubDate><description><![CDATA[R语言复杂抽样调查数据统计描述和分析]]></description><category></category></item><item><title><![CDATA[R语言详解predict函数]]></title><link>https://blog.youkuaiyun.com/weixin_49320263/article/details/142926683</link><guid>https://blog.youkuaiyun.com/weixin_49320263/article/details/142926683</guid><author>weixin_49320263</author><pubDate>Mon, 14 Oct 2024 20:05:51 +0800</pubDate><description><![CDATA[R语言详解predict函数]]></description><category></category></item><item><title><![CDATA[glm、svyglm、lrm对比----计算加权数据]]></title><link>https://blog.youkuaiyun.com/weixin_49320263/article/details/142899617</link><guid>https://blog.youkuaiyun.com/weixin_49320263/article/details/142899617</guid><author>weixin_49320263</author><pubDate>Sun, 13 Oct 2024 16:33:02 +0800</pubDate><description><![CDATA[glm、svyglm、lrm对比----计算加权数据]]></description><category></category></item><item><title><![CDATA[R语言NHANES数据分析(1)]]></title><link>https://blog.youkuaiyun.com/weixin_49320263/article/details/142289541</link><guid>https://blog.youkuaiyun.com/weixin_49320263/article/details/142289541</guid><author>weixin_49320263</author><pubDate>Tue, 17 Sep 2024 19:55:42 +0800</pubDate><description><![CDATA[R语言NHANES数据分析(1)]]></description><category></category></item><item><title><![CDATA[R语言NHANES数据分析（2）]]></title><link>https://blog.youkuaiyun.com/weixin_49320263/article/details/142317371</link><guid>https://blog.youkuaiyun.com/weixin_49320263/article/details/142317371</guid><author>weixin_49320263</author><pubDate>Tue, 17 Sep 2024 19:55:17 +0800</pubDate><description><![CDATA[R语言NHANES数据分析（2）]]></description><category></category></item><item><title><![CDATA[跟着顶刊思路，学R语言数据分析（1）]]></title><link>https://blog.youkuaiyun.com/weixin_49320263/article/details/142149306</link><guid>https://blog.youkuaiyun.com/weixin_49320263/article/details/142149306</guid><author>weixin_49320263</author><pubDate>Wed, 11 Sep 2024 21:08:55 +0800</pubDate><description><![CDATA[R语言数据整理和分析（1）]]></description><category></category></item><item><title><![CDATA[孟德尔随机化——混杂SNP剔除之LDlink（1）]]></title><link>https://blog.youkuaiyun.com/weixin_49320263/article/details/140478963</link><guid>https://blog.youkuaiyun.com/weixin_49320263/article/details/140478963</guid><author>weixin_49320263</author><pubDate>Wed, 17 Jul 2024 22:38:19 +0800</pubDate><description><![CDATA[孟德尔随机化——混杂SNP剔除之LDlink（1）]]></description><category></category></item><item><title><![CDATA[R语言实现限制性立方样条拟合（1）]]></title><link>https://blog.youkuaiyun.com/weixin_49320263/article/details/139573761</link><guid>https://blog.youkuaiyun.com/weixin_49320263/article/details/139573761</guid><author>weixin_49320263</author><pubDate>Mon, 10 Jun 2024 10:08:11 +0800</pubDate><description><![CDATA[R语言实现限制性立方样条拟合（1）]]></description><category></category></item><item><title><![CDATA[走进NHANES（1）]]></title><link>https://blog.youkuaiyun.com/weixin_49320263/article/details/136923322</link><guid>https://blog.youkuaiyun.com/weixin_49320263/article/details/136923322</guid><author>weixin_49320263</author><pubDate>Fri, 22 Mar 2024 14:37:44 +0800</pubDate><description><![CDATA[走进NHANES（1）]]></description><category></category></item><item><title><![CDATA[R语言实现中介分析（1）-非生存资料]]></title><link>https://blog.youkuaiyun.com/weixin_49320263/article/details/136772105</link><guid>https://blog.youkuaiyun.com/weixin_49320263/article/details/136772105</guid><author>weixin_49320263</author><pubDate>Sat, 16 Mar 2024 23:06:23 +0800</pubDate><description><![CDATA[R语言实现中介分析（1）]]></description><category></category></item></channel></rss>