1) Compare the text below that the mailing list sent us to what you saw when 
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2) `right_join` is not a base R function, so you should be specifying which 
contributed package it comes from.

3) If it comes from dplyr, then you should take note that right_join is not 
actually used very often in practice. Have you tried left_join?

On June 29, 2021 8:12:28 AM PDT, Esthi Erickson <ericksones...@gmail.com> wrote:
>Hi and thank you in advance,
>
>If I have a dataframe, df:
>
>Sample
>
>Plot
>
>Biomass
>
>1
>
>1
>
>1024
>
>1
>
>2
>
>32
>
>2
>
>3
>
>223
>
>2
>
>4
>
>456
>
>3
>
>1
>
>
>3
>
>2
>
>331
>
>3
>
>3
>
>22151
>
>3
>
>4
>
>1441
>
>And another one, df1:
>
>Sample
>
>Plot
>
>% cover of plant1
>
>% cover of plant2
>
>3
>
>1
>
>32
>
>63
>
>3
>
>2
>
>3
>
>
>3
>
>3
>
>
>3
>
>3
>
>4
>
>5
>
>23
>
>I want to join these tables where the columns Sample and Plot are the
>same.
>
>Currently trying:
>
>df<- right_join(df, df1, by = c(“Sample”, "Plot"))
>
>I am working with a much larger dataset, but it will cut off the data
>starting at Sample 3 instead of joining the tables while retaining the
>information from df. Any ideas how I could join them this way?
>
>
>Esthi
>
>       [[alternative HTML version deleted]]
>
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-- 
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