I have two dataframes that I want to combine into one. Rows in one dataframe are not always in the other and vice versa. I want to keep all rows and columns from both datasets. Additionally, there is one column ("Tag") that sometimes has different values for the same row of interest ("ID"). My dataset is too big to find them manually. I am having difficulty creating a separate column for when the values in "Tag" are not identical. I've tried test.output1 <-union(test.df1, test.df2,suffix=c(".1",".2")) but get an error due to some of the identical columns having different factor levels. I've also tried variations of: test.output2<-rbind.fill(test.df1, test.df2) but end up with duplicate rows.
Any help is greatly appreciated. Thanks!
Example:
#dataframe 1
test.df1
ID Year Location Tag Length
H1 2013 Site1 272 46
H2 2013 Site2 236 984
H3 2014 Site3 150 68
H4 2014 Site4 698 12
H34 2015 Site1 594 65
#dataframe 3
test.df2
ID Year Species Tag
H1 2013 1 631
H2 2013 2 236
H3 2014 3 755
H4 2014 4 698
H12 2017 3 135
#What I would like the output to be
test.df.3
ID Year Location Species Tag.1 Tag.2 Length
H1 2013 Site1 1 272 631 46
H2 2013 Site2 2 236 NA 984
H3 2014 Site3 3 150 755 68
H4 2014 Site4 4 698 NA 12
H12 2017 NA 3 135 NA 20
H34 2015 Site1 NA 594 NA 65