Dear Sarah,
Thank you for your contribution.
I have tried to use merge function as suggested. But the function
seems to work with data frame. And the file cannot be in the form of
data frame as they have different lengths. I also tried whether I can
use the function without data frame. It didn't w
Dear Jim,
Many thanks for sparing your time to assist me.
I have tried your codes. It worked very well to some extent for me. At
least it produced the indices you mentioned.
But I got stuck when I think of how to use it in further calculations
as you indicated. I tried including the indices as th
Dear Jeff,
I had initially set to plain text. I didn't know when it reverted to
HTML. It has been corrected. Thanks for informing me.
I have checked ?setdiff. The examples are well explained, so it was
not hard for me to use. However, it did not seem to tackle my problem.
I have two columns but it
Hi Ogbos,
One way to get all combinations of common and different dates is:
THULinINVK<-which(THUL1$V1 %in% INVK1$V1)
THULnotinINVK<-which(!(THUL1$V1 %in% INVK1$V1))
INVKinTHUL<-which(INVK1$V1 %in% THUL1$V1)
INVKnotinTHUL<-which(!(INVK1$V1 %in% THUL1$V1))
This produces vectors of indices that can
a) Your use of HTML is corrupting your data. Post using plain text, and use
dput output instead of trying to insert tables.
b) You should read about ?setdiff.
On March 1, 2020 1:12:04 PM PST, Ogbos Okike wrote:
>Dear Friends,
>I have two data frame of the form:
>1997-11-2219 -2.54910135429339
>
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 wrote:
>
> Dear Friends,
> I have two data frame of the form:
> 1997-11-2219 -2.54910135429339
> 1997-11- -2.66865640466636
> 1997-
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