How to find the percent of zeros in each row of an R data frame?

To find the percent of zeros in each row of an R data frame, we can follow the below steps −

• First of all, create a data frame.

• Then, use rowSums function along with ncol function to find the percent of zeros in each row of the data frame.

Example

Create the data frame

Let’s create a data frame as shown below −

x<-sample(0:2,25,replace=TRUE)
y<-sample(0:2,25,replace=TRUE)
z<-sample(0:2,25,replace=TRUE)
a<-sample(0:2,25,replace=TRUE)
df<-data.frame(x,y,z,a)
df

Output

On executing, the above script generates the below output(this output will vary on your system due to randomization) −

   x y z a
1  0 0 2 2
2  2 1 2 0
3  0 1 0 2
4  1 1 2 1
5  0 1 2 1
6  1 1 1 0
7  2 0 0 0
8  2 2 0 0
9  0 1 2 1
10 2 1 0 2
11 2 0 0 1
12 0 0 1 0
13 1 0 0 2
14 2 0 0 2
15 1 2 2 1
16 0 0 0 1
17 2 2 2 2
18 2 0 0 0
19 1 1 0 2
20 2 1 0 2
21 0 1 1 2
22 0 2 1 0
23 1 1 0 2
24 2 0 0 0
25 2 1 1 0

Find the percent of zeros in each row

Using rowSums function along with ncol function to find the percent of zeros in each row of the data frame df −

x<-sample(0:2,25,replace=TRUE)
y<-sample(0:2,25,replace=TRUE)
z<-sample(0:2,25,replace=TRUE)
a<-sample(0:2,25,replace=TRUE)
df<-data.frame(x,y,z,a)
df$Percent_0s<-(rowSums(df==0)/ncol(df))*100
df

Output

   x y z a Percent_0s
1  1 0 2 1 25
2  1 0 1 0 50
3  2 2 1 1  0
4  0 1 0 0 75
5  2 0 1 1 25
6  2 2 0 2 25
7  0 1 1 0 50
8  2 1 0 0 50
9  2 0 2 1 25
10 1 2 2 1  0
11 1 2 2 2  0
12 0 2 2 0 50
13 0 1 1 0 50
14 0 1 2 2 25
15 1 0 1 1 25
16 1 0 0 1 50
17 2 2 2 1  0
18 1 1 1 2  0
19 0 0 0 1 75
20 2 1 0 2 25
21 2 1 2 1  0
22 1 0 0 2 50
23 2 0 2 1 25
24 0 0 1 1 50
25 1 2 2 1  0

Nizamuddin Siddiqui

Updated on: 12-Nov-2021

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