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]]
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
