如何在 R 中将 2 列与所有非唯一值或 NA 值合并，而不丢弃案例（保留 NA，合并重复项）

Question

I created a dataframe in R. Here is a sample 4-row excerpt (actual df is 13000 rows):

   colA  colB
1  89    89
2  NA    NA
3  90    NA
4  NA    91

Where NA are empty values. Each case contains either duplicate values for each variable, 2 empty values, or 1 empty value.

I want to unite the columns into 1 column, or create new column, where:

• Each case is preserved in the output
• If values are duplicates, value in the output is that same value (NOT applying any arithmetic - I do not want to add/multiply the values; and NOT simply pasting the values next to each other)
• If each value is NA(empty), output value is NA(empty)
• If a value is NA(empty) and the other is an actual value, output should be the actual value

This is the output I want:

   colC  
1  89    
2  NA    
3  90    
4  91    

I will need to perform this on 2 columns of my 13000 row df.

Answer 1

Wew can use coalesce

library(dplyr)
df1 %>%
   transmute(ColC = coalesce(ColA, ColB))