The document describes functions for manipulating data frames in R. It introduces the data.frame() function for creating data frames, and functions like cbind(), rbind(), rownames(), colnames(), dim(), and attributes() for changing the structure and viewing properties of data frames. It also covers using paste() to concatenate strings, useful for constructing row and column names programmatically.

1. 3
2020 1 30
1 1
2 data.frame 1
2.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
3 3
3.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
3.2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
3.3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
4 5
4.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
5 6
5.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
6 : 7
7 8
7.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
1
•
2 data.frame
row column
1
R mode Numeric
Character
1

2. 2.1 3
173.5 66 19
166.4 58 20
168 NA 18
170.3 81 20
1:
山田太郎
西南花子
市東治子
三宅信二
リスト要素
[[1]]
Character 型
ベクトル
173.5
166.4
168
170.3
リスト要素
[[2]]
Numeric 型
ベクトル
男
女
女
男
リスト要素
[[5]]
Character 型
ベクトル
福岡県
鹿児島県
千葉県
岡山県
リスト要素
[[6]]
Character 型
ベクトル
66
58
NA
20
リスト要素
[[3]]
Numeric 型
ベクトル
19
20
18
20
リスト要素
[[4]]
Numeric 型
ベクトル
1:
R data.frame 1
data.frame 1
1 2
NA Not Available
missing values R NA
logical NA
2.1
•
•
• row column
1
2 1
R
I 2

3. 3
•
• NA missing values
3
data.frame()
> name <- c(" ", " ", " ", " ") #
> height <- c(173.5, 166.4, 168, 170.3) #
> weight <- c(66, 58, NA, 81) # NA
> age <- c(19, 20, 18, 20) #
> personal <- data.frame(name, height, weight, age) #
> personal
name height weight age
1 173.5 66 19
2 166.4 58 20
3 168.0 NA 18
4 170.3 81 20
3.1
cbind() column bind cbind()
personal
personal personal cbind()
> =c(" ", " ", " ", " ") #
> personal <- cbind(personal, ) #
> personal
name height weight age
1 173.5 66 19
2 166.4 58 20
3 168.0 NA 18
4 170.3 81 20
I 3

4. 3.2 3
> personal <- cbind(personal, =c(" ", " ", " ", " "))
> personal
name height weight age
1 173.5 66 19
2 166.4 58 20
3 168.0 NA 18
4 170.3 81 20
3.2
rbind() row bind
2
> extra <- data.frame( =c(" ", " "),
+ =c(169, 159),
+ =c(61, 63),
+ =c(23, 20),
+ =c(" ", " "),
+ =c(" ", " "))
> extra
1 169 61 23
2 159 63 20
rbind()
> rbind(personal, extra) #
personal
colnames()
> colnames(personal) # column names
[1] "name" "height" "weight" "age" " " " "
> colnames(personal) <- c(" ", " ", " ", " ", " ", " ")
> personal
1 173.5 66 19
2 166.4 58 20
3 168.0 NA 18
4 170.3 81 20
extra personal
I 4

5. 3.3 3
> colnames(personal) <- colnames(extra) # extra personal
> personal
1 173.5 66 19
2 166.4 58 20
3 168.0 NA 18
4 170.3 81 20
rbind() rbind()
personal
> personal <- rbind(personal, extra)
> personal
1 173.5 66 19
2 166.4 58 20
3 168.0 NA 18
4 170.3 81 20
5 169.0 61 23
6 159.0 63 20
3.3
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•
•
•
•
4
attributes
3
attributes()
> attributes(personal)
$names
[1] " " " " " " " " " " " "
3
I 5

6. 4.1 3
$row.names
[1] 1 2 3 4 5 6
$class
[1] "data.frame"
personal names row.names class 3
names row.names class
colnames()
names row.names rownames()
> rownames(personal) #
[1] "1" "2" "3" "4" "5" "6"
> dim(personal) # dimension
[1] 6 6
> dim(personal)[1] #
[1] 6
> dim(personal)[2] #
[1] 6
4.1
•
• attributes()
• rownames()
•
5
personal 1 ID1 ID2 · · · ID
> personal
ID1 173.5 66 19
ID2 166.4 58 20
ID3 168.0 NA 18
ID4 170.3 81 20
ID5 169.0 61 23
ID6 159.0 63 20
I 6

7. 5.1 3
5.1
> rownames(personal) <- c("ID1", "ID2", "ID3", "ID4", "ID5", "ID6")
> # paste()
> rownames(personal) <- paste("ID", 1:dim(personal)[1], sep="")
6 :
ID
paste()
paste()
> help(paste)
Description concatenate
Usage
Usage:
paste (..., sep = " ", collapse = NULL)
paste0(..., collapse = NULL)
pasge() ... Usage Arguments
1 R R
R
paste()
2 sep = " "
...
separate sep=" "
sep 1
> paste("A", "B", "C", "D") # sep 1
[1] "A B C D"
> paste("A", "B", "C", "D", sep="-+-") # sep -+-
[1] "A-+-B-+-C-+-D"
> paste("A", "B", "C", "D", sep="") # sep
[1] "ABCD"
4 1 R
1 "A"
"B" 1 paste() 4
paste()
I 7

8. 3
> letters <- c("A", "B", "C", "D")
> paste(letters, 1:length(letters), sep="")
[1] "A1" "B2" "C3" "D4"
1 letters 4 2 1:length(letters)
1 4 paste()
::::::::
ID
> paste("ID", 1:15, sep="")
[1] "ID1" "ID2" "ID3" "ID4" "ID5" "ID6" "ID7" "ID8" "ID9" "ID10" "ID11"
[12] "ID12" "ID13" "ID14" "ID15"
> paste("ID", 1:dim(personal)[1], sep="") #
[1] "ID1" "ID2" "ID3" "ID4" "ID5" "ID6"
2017 1 12
> paste(2017, "/", 1:12, sep="")
[1] "2017/1" "2017/2" "2017/3" "2017/4" "2017/5" "2017/6" "2017/7" "2017/8"
[9] "2017/9" "2017/10" "2017/11" "2017/12"
1 2 1 3 12
1 2
3
> paste(rep(2017, 12), rep("/", 12), 1:12, sep="") # !
[1] "2017/1" "2017/2" "2017/3" "2017/4" "2017/5" "2017/6" "2017/7" "2017/8"
[9] "2017/9" "2017/10" "2017/11" "2017/12"
7
paste()
> results
[1] "2014 1 " "2014 2 " "2014 3 " "2014 4 " "2014 5 " "2014 6 "
[7] "2014 7 " "2014 8 " "2014 9 " "2014 10 " "2014 11 " "2014 12 "
[13] "2015 1 " "2015 2 " "2015 3 " "2015 4 " "2015 5 " "2015 6 "
[19] "2015 7 " "2015 8 " "2015 9 " "2015 10 " "2015 11 " "2015 12 "
[25] "2016 1 " "2016 2 " "2016 3 " "2016 4 " "2016 5 " "2016 6 "
[31] "2016 7 " "2016 8 " "2016 9 " "2016 10 " "2016 11 " "2016 12 "
I 8

9. 7.1 3
7.1
> paste(c(rep(2014, 12), rep(2015, 12), rep(2016, 12)),
+ " ", 1:12, " ", sep="")
[1] "2014 1 " "2014 2 " "2014 3 " "2014 4 " "2014 5 " "2014 6 "
[7] "2014 7 " "2014 8 " "2014 9 " "2014 10 " "2014 11 " "2014 12 "
[13] "2015 1 " "2015 2 " "2015 3 " "2015 4 " "2015 5 " "2015 6 "
[19] "2015 7 " "2015 8 " "2015 9 " "2015 10 " "2015 11 " "2015 12 "
[25] "2016 1 " "2016 2 " "2016 3 " "2016 4 " "2016 5 " "2016 6 "
[31] "2016 7 " "2016 8 " "2016 9 " "2016 10 " "2016 11 " "2016 12 "
I 9