> On Jan 8, 2020, at 6:52 AM, Thomas Subia <[email protected]> wrote:
> 
> Colleagues,
> 
> I have two data frames which look like this.
> 
> Data frame 1
> 
>       Serial  Pre.Hole        Pre.flow        Pre.Date
> 1     3036        1                   0.24            19-Nov-19
> 2     3036        2                   0.212           19-Nov-19
> 3     3036        3                   1.292           19-Nov-19
> 4     3036        4                   0.262           19-Nov-19
> 5     3036        5                   1.291           19-Nov-19
> 6     3036        6                   0.26            19-Nov-19
> 
> Data frame 2
> 
>       Serial   Post.Hole      Post.flow       Post.Date
> 62323  11024        44                -0.678          11-Dec-19
> 62324  11024        45                -0.659          11-Dec-19
> 62325  11024        46                 -0.654                 11-Dec-19
> 62326  11024        47                -0.699          11-Dec-19
> 62327  11024        48                 -0.671                 11-Dec-19
> 62328  11024        49                -0.687          11-Dec-19
> 
> What I want is to create a data frame whose serials numbers are common to 
> data frames 1 and 2.
> The resulting data frame 1st row would look like this.
> 
> Serial        Post.Hole       Post.flow       Post.Date       Pre.Hole        
> Pre.flow        Pre.Date

Simply try:

new.df <- merge(df1,df2)

You should be aware that those columns with dates are actually factor or 
character values. R does have a Date class and you will likely want to look at 
using as.Date to make them more useful.


-- 
David.
> 
> Any ideas on how to do this would be appreciated.
> 
> Thomas Subia 
> Statistician / Senior Quality Engineer
> 
> IMG Companies 
> 225 Mountain Vista Parkway
> Livermore, CA 94551
> T. (925) 273-1106
> F. (925) 273-1111
> E. [email protected]
> 
> 
> Precision Manufacturing for Emerging Technologies
> imgprecision.com 
> 
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