This document discusses reading and writing CSV files in R on both Windows and Mac systems. It covers using read.csv and write.csv functions, specifying file paths, headers, NA values, and encoding for different operating systems. It also introduces using other foreign packages to import and export files in formats like SPSS, Stata, SAS.

1. Osaka.R #4
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2010 12 2
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3. twitter: @phosphor m
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4. R
R
R
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5. R R
R
R OS
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7. “ ”
“C” “Users” “masahiro“
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8. C: .csv
“C” “ ” “
.csv”
Windows
¥ mac /
Windows
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9. R
C:/ / .csv
C: .csv
2
2 “C: .csv”
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12. csv
Windows Shift JIS Mac UTF-8
Shift JIS UTF-8 2
UTF-8 Shift JIS
Windows TeraPad Mac CotEditor
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13. d1 <- read.csv("C: .csv")
R
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14. d1 <- read.csv("C: .csv")
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15. d1 <- read.csv("C:/ / .csv")
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16. d1 <- read.csv("C:/ /
.csv")
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17. setwd("C:/ ")
d1 <- read.csv(" .csv")
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18. Windows
Shift
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19. csv
d1 <- read.csv("C:/ / .csv")
d1 <- read.csv("C:/ / .csv", header = FALSE)
d1 <- read.csv("C:/ / .csv", na.strings = "NA")
csv 1 header=FALSE
header=TRUE
na.strings NA
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20. d1 <- read.delim("C:/ / .txt")
read.delim
read.csv
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21. d1 <- read.delim("C:/ / .txt")
read.delim
read.csv
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22. R
csv
Excel
csv
foreign
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23. library(foreign)
d1 <- read.spss("C:/ / .sav",
to.data.frame = TRUE, use.missings = TRUE)
# SPSS
# to.data.frame data.frame
# use.missings
d1 <- read.dta("C:/ / .dta")
# stata
d1 <- read.xport("C:/ / .stx")
# SAS
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24. csV
write.csv(d1, file = "C:/ / .csv",
na = "NA", row.names=FALSE)
data.frame
na NA
row.names=FALSE
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25. library(foreign)
write.dta(d1, "C:/ / .dta")
write.foreign(d1, datafile = "C:/ / .csv",
codefile = "C:/ / .sps",
package = "SPSS")
stata write.dta
write.foreign csv +
datafile csv codefile
package ”SPSS” ”Stata” ”SAS”
write.csv
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26. Windows Shift JIS UTF-8
csv
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