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RSS订阅原创 机器学习笔记
有监督学习与无监督学习有目标变量的研究，称为有监督学习，常用于预测未来。 无目标变量的研究，称为无监督学习，常用于描述现在。根据具体问题和算法不同，常常分为以下六小类： - 分类 Classification(有监督学习) - 回归 Regression(有监督学习) - 异常检测 Deviation Detection(有监督学习) - 聚类 Clustering(无监督学习)
2017-01-16 10:46:13
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原创 selenium的安装及使用介绍
R爬虫之上市公司公告批量下载selenium的安装及使用介绍http://yphuang.github.io/blog/2016/03/01/Get-Listed-Company-Announcement/
2016-11-05 21:01:34
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原创 文章标题
PS: The data（stroopdata.csv）is provided by the course.1.**Independent variable：**The type of test,”the congruent words condition” and ” the incongruent words condition”.**Dependent variable:**The
2016-07-27 22:13:31
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原创 统计学笔记
统计量r2=t2t2+dfr^2=\frac{t^2}{t^2+df} t检验对H0H_{0}的解释度T-testT -test AssumptionsX and Y should be random samples from two independent populations.Populations are approximately normal.Sample
2016-07-25 15:02:00
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原创 R语言笔记六
去除NA值方案一ggplot(aes(x=friend_count), data=subset(pf, !is.na(gender)))+ geom_histogram()+ scale_x_continuous(limits = c(0,1000), breaks = seq(0,1000,50))+ facet_wrap(~gender
2016-07-10 22:45:45
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原创 R语言笔记五
DebuggingDiagnosing the problemSomething’s Wrong! Indications that something’s not right.message: A generic notification/diagnostic message produced by the message function; execution of the functio
2016-07-04 15:34:18
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原创 R语言笔记四
str function str: Compacktly display the internal structure of an R object - A diagnostic function and an alternative to "summary" - It is especially well suited to compactly display the (abbrevia
2016-06-15 23:18:39
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原创 Define your own binary operators
Define your own binary operators# The syntax for creating new binary operators in R is unlike anything else in# R, but it allows you to define a new syntax for your function. I would only# recom
2016-06-11 11:41:29
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转载 R语言中的数学计算（转载）
R语言中的数学计算关于作者：张丹(Conan), 程序员Java,R,PHP,Javascript weibo：@Conan_Z blog: http://blog.fens.me email: bsspirit@gmail.com 转载请注明出处： http://blog.fens.me/r-mathematics/r-math前言R是作为统计语言，生来就对数学有良好的支持，一个函数就能
2016-06-07 23:04:34
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原创 R语言笔记三（循环控制）
R语言笔记二Looping on the Command Linelapply: Loop over a list and evaluate a function on each elementsapply: Same as lapply but try to simplify the resultapply: Apply a function over the margins
2016-05-30 14:53:13
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