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gend <- c('male','female','female','male','male','female','male','male','female')
age <- c('8-15','16-35','36-50','16-35','16-35','36-50','8-15','36-50','16-35')
pref <- c('red','green','yellow','red','red','yellow','green','yellow','green')

x <- data.frame(gend,age,pref)
x
x$gend[4]
x[['gend']][4]

#reading from file
setwd('/Users/macbook/Cloud/Dropbox/prog/R')
x1 <- read.table('data.txt')
x1

x2 <- read.table('data.txt',header=TRUE)
x2

text <- readLines("/Users/macbook/Cloud/Dropbox/Corpus/DH-All.txt",encoding="UTF-8")
text[3]

[1] "The History of Humanities Computing"

length(text)

[1] 7108

text2 <- scan(file="/Users/macbook/Cloud/Dropbox/Corpus/DH-All.txt", what="character", sep="\n")

Read 3955 items

text2[2]

[1] "The History of Humanities Computing"

length(text2)

[1] 3955

### read more tahn one files
## get all filenmaes as a list
list.filenames<-list.files(pattern=".csv$")
## lapply = list apply eith funnction defined
list.data <- lapply(list.filenames, function(x) scan(file=x,  what="character", sep="\n") )

Read 11 items
Read 313 items
Read 313 items
Read 4 items
Read 313 items
Read 1550 items
Read 313 items

list.filenames[2]

[1] "Data-score-TH.csv"

list.data[[2]][5]

[1] "4,หญิง,36-50,ปริญญาโท,39,46.66666667,C2,41.45,C1,39.16666667,C1,30.83333333,B2"