1. R数据的保存和加载

> a <- 1:10
> save(a, file = "temp.Rdata")
> rm(a)
> load("temp.Rdata")
> a
 [1]  1  2  3  4  5  6  7  8  9 10

2. csv文件的导入和导出

> var1 <- 1:5
> var2 <- 1:5 / 10
> var3 <- c("R", "and", "Data Mining", "Examples", " Studies")
> df1 <- data.frame(var1, var2, var3)
> names(df1) <- c("Int", "Real", "Char")

> write.csv(df1, "dummmyData.csv", row.names = F)

3.从SAS中导入数据

read.ssd将调用SAS来读取SAS数据

4. 通过ODBC导入和导出数据库

> install.packages("RODBC")
trying URL 'https://mirrors.eliteu.cn/CRAN/bin/windows/contrib/3.3/RODBC_1.3-15.zip'
Content type 'application/zip' length 831310 bytes (811 KB)
downloaded 811 KB

package ‘RODBC’ successfully unpacked and MD5 sums checked

The downloaded binary packages are in
	C:\Users\pc\AppData\Local\Temp\RtmpOYNeJF\downloaded_packages

从数据库中读取数据

数据的导入和导出

数据的导入和导出

将xls文件导入到R中

(1)将xls变成csv的格式导入

(2)在Windows系统中,你也可以使用RODBC包来访问Excel文件。


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