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How to fill missing values after merging the data frames with another value than NA in R?
To fill missing values after merging the data frames with another value than NA in R, we can follow the below steps −
First of all, create two data frames.
Then, merge the data frames by a common column between the two.
After that, replace the NAs with another value.
Example
Create the first data frame
Let’s create a data frame as shown below −
ID<-1:10 x<-sample(1:100,10) df1<-data.frame(ID,x) df1
Output
On executing, the above script generates the below output(this output will vary on your system due to randomization) −
ID x 1 1 28 2 2 50 3 3 13 4 4 43 5 5 48 6 6 49 7 7 52 8 8 54 9 9 72 10 10 32
Create the second data frame
Let’s create a data frame as shown below −
ID<-1:15 y<-sample(1:10,15,replace=TRUE) df2<-data.frame(ID,y) df2
Output
On executing, the above script generates the below output(this output will vary on your system due to randomization) −
ID y 1 1 2 2 2 9 3 3 10 4 4 8 5 5 10 6 6 7 7 7 9 8 8 4 9 9 2 10 10 9 11 11 3 12 12 5 13 13 10 14 14 7 15 15 1
Merge the data frames
Using merge function to merge df1 and df2 by ID column −
ID<-1:10 x<-sample(1:100,10) df1<-data.frame(ID,x) ID<-1:15 y<-sample(1:10,15,replace=TRUE) df2<-data.frame(ID,y) merge(df1,df2,all=TRUE,by="ID") DF<-merge(df1,df2,all=TRUE,by="ID") DF
Output
ID x y 1 1 28 2 2 2 50 9 3 3 13 10 4 4 43 8 5 5 48 10 6 6 49 7 7 7 52 9 8 8 54 4 9 9 72 2 10 10 32 9 11 11 NA 3 12 12 NA 5 13 13 NA 10 14 14 NA 7 15 15 NA 1
Replace NAs with another value
Using is.na function to replace NAs in DF with dot (.) as shown below −
ID<-1:10 x<-sample(1:100,10) df1<-data.frame(ID,x) ID<-1:15 y<-sample(1:10,15,replace=TRUE) df2<-data.frame(ID,y) merge(df1,df2,all=TRUE,by="ID") DF<-merge(df1,df2,all=TRUE,by="ID") DF[is.na(DF)]<-"." DF
Output
ID x y 1 1 28 2 2 2 50 9 3 3 13 10 4 4 43 8 5 5 48 10 6 6 49 7 7 7 52 9 8 8 54 4 9 9 72 2 10 10 32 9 11 11 . 3 12 12 . 5 13 13 . 10 14 14 . 7 15 15 . 1
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