<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[wangishero的专栏]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/wangishero</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; wangishero]]></copyright><item><title><![CDATA[R学习笔记——用which判断坐标的位置]]></title><link>https://blog.youkuaiyun.com/wangishero/article/details/52761172</link><guid>https://blog.youkuaiyun.com/wangishero/article/details/52761172</guid><author>wangishero</author><pubDate>Sat, 08 Oct 2016 22:29:57 +0800</pubDate><description><![CDATA[which(x%in%y)
--判断x是否为y中的元素，若是，返回x对应的元素的下标，而不是y中对应的下标。
例：
有趣的是，这里的坐标并不是以0为起始的。





> a <- c(5,4,3,2)
> b <-2
> which(b%in%a)
[1] 1
> ?which
> a <- c(5)
> which(b%in%a)
integer(0)
> a <- c(5,]]></description><category></category></item><item><title><![CDATA[用R做中文文本分析--用R进行文本挖掘与分析：分词、画词云]]></title><link>https://blog.youkuaiyun.com/wangishero/article/details/52570505</link><guid>https://blog.youkuaiyun.com/wangishero/article/details/52570505</guid><author>wangishero</author><pubDate>Sun, 18 Sep 2016 06:00:53 +0800</pubDate><description><![CDATA[#调入分词的库
library("rJava")
library("Rwordseg")
#调入绘制词云的库
library("RColorBrewer")
library("wordcloud")
   
   
#读入数据(特别注意，read.csv竟然可以读取txt的文本)
myfileread.csv(file.choose(),header=FALSE)
   
#]]></description><category></category></item><item><title><![CDATA[用R做中文文本分析--载入需要的数据包及载入时可能遇到的问题]]></title><link>https://blog.youkuaiyun.com/wangishero/article/details/52557762</link><guid>https://blog.youkuaiyun.com/wangishero/article/details/52557762</guid><author>wangishero</author><pubDate>Fri, 16 Sep 2016 21:20:06 +0800</pubDate><description><![CDATA[用R做中文文本分析--载入需要的数据包及载入时可能遇到的问题及解决方法]]></description><category></category></item><item><title><![CDATA[如何解决载入swirl包时出来的non-numeric argument to binary operator错误]]></title><link>https://blog.youkuaiyun.com/wangishero/article/details/51873853</link><guid>https://blog.youkuaiyun.com/wangishero/article/details/51873853</guid><author>wangishero</author><pubDate>Sun, 10 Jul 2016 22:28:46 +0800</pubDate><description><![CDATA[首先是尝试重新安装swirl中对应的包：

> install_from_swirl("Statistical Inference")
Error in curl::curl_fetch_memory(url, handle = handle) : 
  Problem with the SSL CA cert (path? access rights?)
> library(RCurl)
载]]></description><category></category></item><item><title><![CDATA[Python实战——1_1.网页制作]]></title><link>https://blog.youkuaiyun.com/wangishero/article/details/51416539</link><guid>https://blog.youkuaiyun.com/wangishero/article/details/51416539</guid><author>wangishero</author><pubDate>Sun, 15 May 2016 12:21:06 +0800</pubDate><description><![CDATA[Python实战——1_1.网页制作引言网页的组成部分：
CSS样式 - 给结构以装饰
Html - 结构部分
JavaScript- 功能实现
代码部分第一部分为网站的基本结构（在IDE中新建网页后既给出）<!DOCTYPE html>
<html lang="en">
<head><!--head部分,填入给浏览器看的内容(以下文字部分均为注释)-->
    <meta charset="UT]]></description><category></category></item><item><title><![CDATA[reproducible-research-quiz2]]></title><link>https://blog.youkuaiyun.com/wangishero/article/details/51078358</link><guid>https://blog.youkuaiyun.com/wangishero/article/details/51078358</guid><author>wangishero</author><pubDate>Wed, 06 Apr 2016 20:49:22 +0800</pubDate><description><![CDATA[Week 2 Quiz


已通过


4/5 得分（80%)

测验通过！




正确
1 / 1 分

1. 


Who created Markdown?









John Gruber




正确回答 








Yihui Xie










Hadl]]></description><category></category></item><item><title><![CDATA[R 安装包（上传数据）失败时的解决方法]]></title><link>https://blog.youkuaiyun.com/wangishero/article/details/50859670</link><guid>https://blog.youkuaiyun.com/wangishero/article/details/50859670</guid><author>wangishero</author><pubDate>Fri, 11 Mar 2016 23:26:46 +0800</pubDate><description><![CDATA[R中句柄错误：
提示代码：
Error in curl::curl_fetch_memory(url, handle = handle) :   Problem with the SSL CA cert (path? access rights?)| Leaving swirl now. Type swirl() to resume.(注：我是我在提交swirl()时的提示，可以看到网上有类似]]></description><category></category></item><item><title><![CDATA[R学习——比较好的切入点和方法]]></title><link>https://blog.youkuaiyun.com/wangishero/article/details/50813123</link><guid>https://blog.youkuaiyun.com/wangishero/article/details/50813123</guid><author>wangishero</author><pubDate>Sun, 06 Mar 2016 14:03:19 +0800</pubDate><description><![CDATA[通过在Coursera上对于R和统计、数据分析的自学，介绍几个不错的切入学习的工具和课程，并分享一些经验和建议。]]></description><category></category></item></channel></rss>