1 首先用getwd() 获得当前目录，用setwd("C:/data")设定当前目录
2 数据保存
创建数据框d
>d <- data.frame(obs = c(1, 2, 3), treat = c("A", "B", "A"), weight = c(2.3, NA, 9))
2.1 保存为简单文本
Usagewrite.table(x, file = "", append = FALSE, quote = TRUE, sep = " ", eol = "\n", na = "NA", dec = ".", row.names = TRUE, col.names = TRUE, qmethod = c("escape", "double"), fileEncoding = "")
>write.table(d, file = "c:/data/foo.txt", row.names = F, quote = F) # 空格分隔
>write.table(d, file = "c:/data/foo.txt", row.names = F, quote = F, sep="\t") # tab 分隔的文件
2.2 保存为逗号分割文本
>write.csv(d, file = "c:/data/foo.csv", row.names = F, quote = F)
2.3 保存为R格式文件
>save(d, file = "c:/data/foo.Rdata")
2.4 保存工作空间镜像
>save.image( ) = save(list =ls(all=TRUE), file=".RData")
3 数据读取
读取函数主要有：read.table( ), scan( ) ，read.fwf( )，readLines().
3.1 用 read.table( ) 读 "c:\data” 下houses.dat
>options(stringsAsFactors=FALSE)
>setwd("C:/data"); HousePrice <- read.table(file="houses.dat")
如果明确数据第一行做表头，则使用header选项
>HousePrice <- read.table("houses.dat", header=TRUE)
read.table( ) 变形有： read.csv( ),read.csv2( ), read.delim( ), read.delim2( ).前两读取逗号分割数据，后两个读取其他分割符数据。
3.2 用scan( ) 比read.table( ) 更灵活。
但要指定 变量类型：如：C:\data\data.dat:
M 65 168
M 70 172
F 54 156
F 58 163
>mydata <- scan("data.dat", what = list("", 0, 0))
>mydata <- scan("data.dat", what = list(Sex="", Weight=0, Height=0))
3.3 用read.fwf( )读取文件中一些固定宽度数据
如：C:\data\data.txt:
A1.501.2
A1.551.3
B1.601.4
>mydata <- read.fwf("data.txt", widths=c(1, 4, 3), col.names=c("X","Y","Z"))
4 excel格式数据读取
4.1 利用剪切板
选择excel数据，再用(CTRL+C)复制。在R中键入命令：
>mydata <- read.delim("clipboard")
4.2 使用程序包 RODBC.
如： c:\data\body.xls
Sex Weight Height
M 65 168
M 70 172
F 54 156
F 58 163
> library(RODBC)
> z <- odbcConnectExcel("c:/data/body.xls")
> foo <- sqlFetch(z, "Sheet1")
> close(z)
library(xlsx) # 注意： 软件包需要安装 write.xlsx(mydata, "c:/mydata.xlsx") # 参考： https://danganothererror.wordpress.com/2012/02/12/write-data-frame-to-excel-file/
The WriteXLS function from the WriteXLS package (link: http://cran.r-project.org/web/packages/WriteXLS/index.html) can write data to Excel.
Alternatively, write.xlsx from the xlsx package (link: http://cran.r-project.org/web/packages/xlsx/) will also work.
注意：
1 writeLines 会在最后一行/或者每行末尾加一个换行符
# fileConn<-file(output_fasta)# writeLines(mystr, fileConn)# close(fileConn)
fileConn<-file("output.txt")writeLines(c("Hello","World"), fileConn)close(fileConn) txt <- "Hallo\nWorld"writeLines(txt, "outfile.txt")
or
txt <- c("Hallo", "World")writeLines(txt, "outfile.txt")
2 另外一个写文件的方法是sink，不会在行末加换行符
sink(output_fasta)cat(mystr)sink()
sink("outfile.txt")cat("hello")cat("\n")cat("world")sink() > cat("Hello",file="outfile.txt",sep="\n")> cat("World",file="outfile.txt",append=TRUE)file.show("outfile.txt") line="blah text blah blah etc etc"write(line,file="myfile",append=TRUE)
write is a wrapper for cat, which gives further details on the format used.
save for writing any R objects, write.table for data frames, and scan for reading data.
readChar(con, nchars, useBytes = FALSE)
writeChar(object, con, nchars = nchar(object, type = "chars"), eos = "", useBytes = FALSE)
# readfileName <- 'foo.txt'oldstring<-readChar(fileName, file.info(fileName)$size)
REF:
http://www.statmethods.net/input/exportingdata.html
http://hi.baidu.com/wuyu466/item/d46edcd96c2838e955347f2c
转载请注明本文地址： R语言数据文件读写