[Solved] r simple way to merge 2 columns with not NA values [duplicate]

Introduction

Merging two columns with non-NA values can be a tricky task, especially when the data is large and complex. Fortunately, there are a few simple methods that can be used to quickly and easily merge two columns with non-NA values. In this article, we will discuss some of the most common methods for merging two columns with non-NA values, including using the CONCATENATE function in Excel, using the MERGE command in SQL, and using the JOIN command in Python. We will also discuss some of the advantages and disadvantages of each method. By the end of this article, you should have a better understanding of how to merge two columns with non-NA values.

Solution

Assuming the two columns are named “column1” and “column2”, you can use the following code to merge the two columns:

df[‘merged_column’] = df[‘column1’].combine_first(df[‘column2’])

df$a <- do.call(pmax, c(df, na.rm = TRUE))

library(dplyr)
df %>%
   mutate(a = coalesce(a,b))
#  a    b
#1 1 <NA>
#2 2 <NA>
#3 3    3
#4 4    4

Merging two columns with non-NA values can be done in a simple way using the merge() function in R. This function allows you to combine two data frames by one or more common columns or row names. The syntax for the merge() function is as follows:

merge(x, y, by = "common_column_name")

The x and y arguments are the two data frames that you want to merge. The by argument is the name of the common column or row name that you want to use to merge the two data frames. For example, if you have two data frames, df1 and df2, and you want to merge them by the ID column, you can use the following code:

merge(df1, df2, by = "ID")

This will return a new data frame that contains all the rows from both df1 and df2, merged by the ID column. The merge() function also allows you to specify additional arguments, such as all, all.x, and all.y, which can be used to control how the data frames are merged. For more information on the merge() function, please refer to the R documentation.