[R] Isolating Distinct Dates between two data frames

[Sarah Goslee]

Look at the all arguments to merge() - you can keep the non-matching
dates, and look for NA values in the data.

Sarah

On Sun, Mar 1, 2020 at 4:12 PM Ogbos Okike <giftedlife2014 using gmail.com> wrote:
>
> Dear Friends,
> I have two data frame of the form:
> 1997-11-2219 -2.54910135429339
> 1997-11-2222 -2.66865640466636
> 1997-11-2305 -2.60761691358946
> 1997-12-1104 -2.5323738405159
> 1997-12-1106 -2.6020470080341
> 1998-05-0204 -4.49745020062937
> 1998-05-0209 -4.9462725263541
> 1998-05-0213 -4.60533021405541
> 1998-05-0218 -4.24415210827579
> 1998-05-0220 -4.04368079911755
> 1998-05-0222 -4.05320945184028
> 1998-05-0302 -4.97226664313875
> 1998-05-0307 -3.59108791877756
> 1998-05-0310 -4.06038057061717
> 1998-05-0313 -4.25967313751507
> 1998-05-0316 -3.51896561964782
> 1998-05-0318 -3.43849389406503
> 1998-05-0321 -2.85778623531446
> 1998-05-0323 -2.75731441597261
> 1998-05-0401 -2.85684255921844
> 1998-05-0403 -2.69637066510405
> 1998-05-0408 -4.47519076670884
> 1998-05-0411 -4.2644827160855
> 1998-05-0414 -4.20377458198688
> 1998-05-0417 -4.27306636458818
> 1998-05-0420 -4.05235806406442
> 1998-05-0500 -4.19141353436269
> 1998-05-0506 -4.23999646421515
> 1998-05-0510 -3.95905156765632
> 1998-05-0512 -3.63857906459363
>
> and
> 1997-11-2221 -2.04916867404692
> 1997-11-2303 -1.7285761175751
> 1998-04-3010 -1.51968127380408
> 1998-04-3016 -1.51845077174125
> 1998-05-0101 -1.91660416876407
> 1998-05-0104 -2.11598840871961
> 1998-05-0107 -1.99537253619755
> 1998-05-0109 -1.81496189214167
> 1998-05-0112 -1.7343458326657
> 1998-05-0114 -1.77393506418581
> 1998-05-0121 -1.57249698394961
> 1998-05-0204 -3.64105829839415
> 1998-05-0207 -3.5504415342881
> 1998-05-0209 -3.71003029685917
> 1998-05-0213 -3.31920767504605
> 1998-05-0219 -3.98797337595274
> 1998-05-0300 -3.17694445869443
> 1998-05-0304 -3.09612110658432
> 1998-05-0306 -3.29570935794719
> 1998-05-0308 -3.24529756101203
> 1998-05-0310 -3.20488571584633
> 1998-05-0312 -3.16447382251761
> 1998-05-0314 -2.86406188109331
> 1998-05-0319 -2.5430318175571
> 1998-05-0321 -2.87261970832946
> 1998-05-0400 -2.55200145489882
> 1998-05-0407 -3.27055844665711
> 1998-05-0409 -3.24014605168738
> 1998-05-0412 -3.29952737040137
> 1998-05-0414 -3.44911485708791
>
> Some dates are common among the two.
>
> I use few  lines of code to select the common dates:
> setwd("./")
>  list1<-read.table("THUL1",col.names=c("V1","V2"))
>  list2<-read.table("INVK1",col.names=c("V1","V2"))
>  B<-merge(list1,list2, by ="V1")
>
> Now, I wish to do something differently. I want to identify the dates that
> are in THUL1 but are not in INVK1 or vise versa, that is to identify
> uncommon dates among the two lists.
>
> Could you please assist me to achieve it.
>
> Thank you.
> Best regards
> Ogbos
>
>         [[alternative HTML version deleted]]
>
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-- 
Sarah Goslee (she/her)
http://www.sarahgoslee.com