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
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。