How to convert names(df) to a dataframe?-CodePudding

I have a dataframe with many column names. I want to convert these column names to a new data dataframe.

names(df)

'SampleID' 'EMTSCORE' 'ESR1' 'PGR' 'ADCY1' 'TFF1' 'TUBA3D' 'SUSD3' 'CLIC6' 'FGD3' 'SCUBE2' 'PDZK1' 'SERPINA3' 'Mean' 'GrpMedian' 'Quartile'

I want to convert them as a new dataframe with SampleID as the header and other as row values?

SampleID
EMTSCORE
ESR1
PGR
...
...
Quartile

CodePudding user response：

A mock data frame to show how it works

df1 <- data.frame(SampleID = letters[1:5],
                  EMTSCORE = LETTERS[1:5],
                  ESR1 = 1:5)

create a data frame from the names except the first one (that is what the index -1 is for).

df2 <- data.frame(Dummy =  names(df1)[-1])

Use the name of the first column of the old data frame for the new one.

names(df2)[1] <- names(df1)[1]

df2
#>   SampleID
#> 1 EMTSCORE
#> 2     ESR1

^{Created on 2021-09-30 by the reprex package (v2.0.1)}

CodePudding user response：

Here is an example with the mtcars dataset: We could use names() function:

df2 <- data.frame(Col1 = names(mtcars))

   Col1
1   mpg
2   cyl
3  disp
4    hp
5  drat
6    wt
7  qsec
8    vs
9    am
10 gear
11 carb