R语言操作数据
1.把数据放到操作框中
R语言的最大用处就是处理数据，不然学它干嘛，讲了那么多了，现在才是主题。
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#把数据放到操作框中
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salary<-c(18700000,14626720,15426545,54659532,5445442101)
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position<-c("QB","DE","QB","QA","QB")
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team<-c("Colts","Patriots","Panthers","Bengals","Giants")
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name.last<-c("Manning","Brady","Pepper","Palmer","Manning")
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name.first<-c("Peyton","Tom","Julius","Carson","Eli")
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top.5.salaries<-data.frame(name.last,name.first,team,position,salary)
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top.5.salaries
输出：
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name.last name.first team position salary
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1 Manning Peyton Colts QB 18700000
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2 Brady Tom Patriots DE 14626720
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3 Pepper Julius Panthers QB 15426545
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4 Palmer Carson Bengals QA 54659532
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5 Manning Eli Giants QB 5445442101
2.图形界面操作
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top.5.salaries<-edit(top.5.salaries)
执行到这的时候，会出现图形界面
等你编辑完，关闭，你修改的信息就已经保存了。比如我修改了最后一行的position列QBC->QB
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> top.5.salaries
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name.last name.first team position salary
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1 Manning Peyton Colts QB 18700000
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2 Brady Tom Patriots DE 14626720
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3 Pepper Julius Panthers QB 15426545
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4 Palmer Carson Bengals QA 54659532
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5 Manning Eli Giants QB 5445442101
修改成功。下面的语句也一样能调出图形界面
3.保存数据包到本地
save方法保存数据包到本地
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save(top.5.salaries,file="D:/R/product/0119/top.5.salaries.RData")
执行后，会在目录下生成一个文件
用一下命令可以再读到RGui中。
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load("D:/R/product/0119/top.5.salaries.RData")
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4.读取外部文件
新建top.5.salaries.csv文件，内容如下：
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ame.last,name.firts,team,position,salary
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"Manning","Peyton","Colts","QB",18700000
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"Brady","Tom","Patriots","QB",1245624
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"Pepper","Julius","Panthers","DE",14137500
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"Palmer","Carson","Bengals","QB",13980000
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"Manning","Eli","Giants","QB",12916666
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top.5.salaries<-read.table("top.5.salaries.csv",header=TRUE,seq=",",quote="\"")
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top.5.salaries
输出：
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1 name.last,name.firts,team,position,salary
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2 Manning,Peyton,Colts,QB,18700000
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3 Brady,Tom,Patriots,QB,1245624
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4 Pepper,Julius,Panthers,DE,14137500
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5 Palmer,Carson,Bengals,QB,13980000
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6 Manning,Eli,Giants,QB,12916666
你还可以将数据写到本地文件，用write.table函数。
5.数据库中数据
最佳方案是先将数据库中的数据导出到文本文件中，然后再导入到R中。
关于R语言的学习暂时到此为止，以后有时间再提升。
