Merge columns with different values

Good morning,

I would like to ask you a question regarding the ability to merge different data frames. My problem is that I have two data frames I want to merge but the system does not allow me to do so.

I would like to merge both data frames and putting NA in the fields that are missing. Is it possible?

library(readr)

Dataset1 <- read_csv("C:/Users/juanp/Desktop/CORONA/EXP1.csv")
#> Parsed with column specification:
#> cols(
#>   Name = col_character(),
#>   Sex = col_character(),
#>   ALAT = col_double(),
#>   ASAT = col_double(),
#>   Bilirrubine = col_double(),
#>   Alpha = col_double()
#> )
View(Dataset1)

Dataset2 <- read_csv("C:/Users/juanp/Desktop/CORONA/EXP2.csv", 
                     col_types = cols(Sex = col_character()))
View(Dataset2)

Created on 2020-03-19 by the reprex package (v0.3.0)

7 posts were merged into an existing topic: Merging Data Frames

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