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How to add name to data frame columns in R?
A data frame can be created by using data.frame function but in this case R generates the column names using the values we pass for the data. For example, if we pass a probability distribution as shown in the below examples then its name will be there. If we want to change those names then setNames function can be used along with the data frame name.
Example
df1<-data.frame(rnorm(20),rnorm(20)) df1
Output
rnorm.20. rnorm.20..1 1 -0.24431409 1.48414429 2 -0.04429157 -1.07317747 3 1.03638861 1.23016674 4 -1.51950536 1.01723593 5 -1.29030669 1.59741022 6 -0.02540577 0.16847649 7 0.89598486 1.37993236 8 -1.61080153 -0.89799825 9 -0.54181883 -0.53642593 10 -0.21685719 -0.34991237 11 -0.48691372 0.03656945 12 0.61789184 -0.68130916 13 1.11895194 -1.03310011 14 0.46876609 -0.47855369 15 0.94841120 -0.25945237 16 -0.33669202 0.38229316 17 -0.84262751 -0.62787283 18 1.54774271 -1.97730922 19 -0.23887277 0.02692167 20 -0.33640096 0.35218858
Setting names of columns in df1 −
Example
setNames(df1,c("x1","x2"))Output
x1 x2 1 -0.24431409 1.48414429 2 -0.04429157 -1.07317747 3 1.03638861 1.23016674 4 -1.51950536 1.01723593 5 -1.29030669 1.59741022 6 -0.02540577 0.16847649 7 0.89598486 1.37993236 8 -1.61080153 -0.89799825 9 -0.54181883 -0.53642593 10 -0.21685719 -0.34991237 11 -0.48691372 0.03656945 12 0.61789184 -0.68130916 13 1.11895194 -1.03310011 14 0.46876609 -0.47855369 15 0.94841120 -0.25945237 16 -0.33669202 0.38229316 17 -0.84262751 -0.62787283 18 1.54774271 -1.97730922 19 -0.23887277 0.02692167 20 -0.33640096 0.35218858
Example
df2<-data.frame(rpois(20,8),rpois(20,5)) df2
Output
rpois.20..8. rpois.20..5. 1 7 4 2 12 4 3 6 4 4 7 9 5 11 6 6 8 4 7 8 3 8 7 4 9 4 3 10 10 3 11 7 3 12 12 6 13 8 5 14 11 3 15 6 4 16 8 8 17 6 8 18 10 7 19 11 1 20 5 6
Setting names of columns in df2 −
Example
setNames(df2,c("y1","y2"))Output
y1 y2 1 7 4 2 12 4 3 6 4 4 7 9 5 11 6 6 8 4 7 8 3 8 7 4 9 4 3 10 10 3 11 7 3 12 12 6 13 8 5 14 11 3 15 6 4 16 8 8 17 6 8 18 10 7 19 11 1 20 5 6
Updated on 17-Mar-2021 06:18:47
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