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Clone a Data Frame in R Without Data Values
To create a clone of a data frame in R without data values, we can follow the below steps −
First of all, create a data frame.
Then, create the clone of the data frame by subsetting zero rows.
Example 1
Create the data frame
Let's create a data frame as shown below −
x1<-rnorm(25) x2<-rnorm(25) x3<-rnorm(25) df1<-data.frame(x1,x2,x3) df1
On executing, the above script generates the below output(this output will vary on your system due to randomization) −
x1 x2 x3 1 -0.88372447 2.17866787 0.844763742 2 -0.90009212 -2.95877962 0.347696732 3 1.72333313 0.08088824 0.913762586 4 1.90904216 0.11013780 0.608274553 5 -0.77714120 0.21344833 -0.607547988 6 -1.30230526 -1.55781961 0.179658071 7 2.62349517 0.21621155 -1.908409419 8 0.22962891 0.18766382 0.502946258 9 0.18674989 1.25862213 0.968899153 10 0.07613663 0.52351778 -0.875737126 11 1.40486019 1.11545428 -2.136024539 12 -0.19172224 -0.95750224 -1.522827582 13 1.45939216 -0.12440558 -1.113118208 14 -0.22065545 0.19173783 1.240983896 15 0.50514589 0.27221725 0.003481935 16 -1.03349701 -0.69381446 -1.237794586 17 0.17047347 1.47917192 0.555699119 18 1.20066816 -0.61176702 -2.183149349 19 -0.16340591 -1.61430997 -0.247024457 20 1.28247586 0.40249011 1.112856928 21 2.72719639 0.66455545 -0.341673237 22 0.94192422 0.94412707 1.305438342 23 -0.24861404 -0.94626080 1.795323871 24 0.09647886 -0.24828845 -1.167835227 25 -0.43393094 -1.32843647 -1.152287625
Create clone of the data frame
Use single square brackets for subsetting to create the clone of df1 without data −
x1<-rnorm(25) x2<-rnorm(25) x3<-rnorm(25) df1<-data.frame(x1,x2,x3) df1_new<-df1[0,] df1_new
Output
[1] x1 x2 x3 <0 rows> (or 0-length row.names)
Example 2
Create the data frame
Let's create a data frame as shown below −
y1<-rpois(25,2) y2<-rpois(25,5) y3<-rpois(25,1) y4<-rpois(25,2) df2<-data.frame(y1,y2,y3,y4) df2
Output
y1 y2 y3 y4 1 1 6 0 1 2 6 1 0 1 3 3 4 2 1 4 1 3 0 3 5 3 6 0 3 6 1 8 1 3 7 4 5 2 3 8 1 3 0 3 9 4 4 0 5 10 4 2 1 1 11 4 2 0 3 12 2 6 0 5 13 3 3 2 1 14 4 9 0 0 15 2 2 1 1 16 1 10 0 1 17 1 5 6 5 18 4 6 1 6 19 1 6 2 2 20 4 7 1 3 21 2 8 2 4 22 1 6 1 3 23 5 3 2 3 24 1 5 0 2 25 5 6 0 3
Create clone of the data frame
Use single square brackets for subsetting to create the clone of df2 without data −
y1<-rpois(25,2) y2<-rpois(25,5) y3<-rpois(25,1) y4<-rpois(25,2) df2<-data.frame(y1,y2,y3,y4) df2_new<-df2[0,] df2_new
Output
[1] y1 y2 y3 y4 <0 rows> (or 0-length row.names)
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