I have a dataframe in this way
1954 <- c(a,b,c,d)#names of a person
X2 <- c(5,6,1,2)#their score
1955 <- c(e,f,g,h)
X3 <- c(2,4,6,9)
1956 <- c(j,k,l,m)
X4 <- c(1,3,6,8)
Girls <- data.frame(1954,X2,1955,X3,1956,X4)
Girls dataframe looks something like this
1954 X2 1955 X3 1956 X4 . . . . . . . n
a 5 e 2 j 1 . . . . . . . n
b 6 f 4 k 3 . . . . . . . . n
c 1 g 6 l 6 . . . . . . . . .n
d 2 h 9 m 8 . . . . . . . . . n
I would like the data frame to look like this
`Name score year(#new col)
a 5 1954
b 6 1954
c 1 1954
d 2 1954
e 2 1955
f 4 1955
g 6 1955
h 9 1955
j 1 1956
k 3 1956
l 6 1956
m 8 1956
. . .
. . .
n n n`
This is for a school project and I am struggling to transform data.Could someone help me out with this?
With no additional packages, you could do:
setNames(
cbind(
stack(Girls[, grep("\\d{4}", names(Girls))]),
stack(Girls[, grep("^X", names(Girls))])[, 1, drop = F]
),
c("Name", "Year", "Score")
)
Output:
Name Year Score
1 a 1954 5
2 b 1954 6
3 c 1954 1
4 d 1954 2
5 e 1955 2
6 f 1955 4
7 g 1955 6
8 h 1955 9
9 j 1956 1
10 k 1956 3
11 l 1956 6
12 m 1956 8
Note that this required some changes to the code which you used to create an example, as you cannot put directly numbers as column names (they need to be within ``, and also letters need to be quoted).
Correct code would be:
`1954` <- c("a","b","c","d")
X2 <- c(5,6,1,2)
`1955` <- c("e","f","g","h")
X3 <- c(2,4,6,9)
`1956` <- c("j","k","l","m")
X4 <- c(1,3,6,8)
Girls <- data.frame(`1954`,X2,`1955`,X3,`1956`,X4,
stringsAsFactors = FALSE, check.names = FALSE)