Hi again,
Petr, your solution worked!
Thanks everyone for your input. I'll look more into "setdiff."
Cheers!
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Hi
If you used shorter names for your objects you will get probably more
readable advice
Is this what you wanted?
truncated_dataframe[truncated_dataframe$CLAIM_NO %in%
setdiff(truncated_dataframe$CLAIM_NO, truncated_list$CLAIM_NO),]
Regards
Petr
> Hi there,
> I've tried the noted solutions
Hi there,
I've tried the noted solutions:
"If you do `no <- unlist(hrc_78_clm_no`, do you get a character vector
of claim numbers you want to exclude? If so, then `subset(whatever,
!CLAIM_NO %in% no)` should work."
I converted the CLAIM_NO list to a character, with
> hrc78_clmno_char <- format
# dput() example
# lets say you have data called y, like this:
> y
sp1 sp2 sp3 sp4
d 0 0 0 0
e 0 0 0 0
f 0 0 0 0
# ok, so do this:
> dput(y)
structure(list(sp1 = c(0, 0, 0), sp2 = c(0, 0, 0), sp3 = c(0,
0, 0), sp4 = c(0, 0, 0)), .Names = c("sp1", "sp2", "sp3", "sp4"
)
Assuming everything else is good, the "all" or "all.x" or "all.y"
arguments to merge() should do what I think you're asking for. You did
read the help page for merge, right?
-Don
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
O
Hi there,
Thanks for your responses. I haven't used/heard of dput() before. I'm
looking it up & understanding how it works.
Thanks!
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Hi,
As Sarah reiterated -- it'd *really* be helpful if you give us data we
can actually work with.
That having been said:
On Thu, Apr 26, 2012 at 4:12 PM, RHelpPlease wrote:
> Hi again,
> I tried the sample code like this:
>
>> merged_clmno <- subset(bestPartAreadmin, !CLAIM_NO %in% hrc78_clm_n
You'd get better help if you actually did as Steve requested and
provided sample data (a reproducible example!) using dput().
But since you didn't:
> fakedata <- data.frame(a = 1:5, b=11:15, c=c(1,1,1,2,2))
> fakedata
a b c
1 1 11 1
2 2 12 1
3 3 13 1
4 4 14 2
5 5 15 2
> notb <- c(12, 14, 15)
>
Hi again,
I tried the sample code like this:
> merged_clmno <- subset(bestPartAreadmin, !CLAIM_NO %in% hrc78_clm_no)
> dim(merged_clmno)
[1] 1306893
Note that:
> dim(bestPartAreadmin)
[1] 1306893
So, no change between the original data.frame (bestPartAreadmin) & the
(should be) less-row
Hi Steve,
Thanks for replying. Here's a small piece of the data.frame:
> bestPartAreadmin[1:5,1:6]
DESY_SORT_KEY PRVDR_NUM CLM_THRU_DT CLAIM_NO
NCH_NEAR_LINE_REC_IDEN_CD NCH_CLM_TYPE_CD
1 10193 290003 20090323 20
Hi,
To increase the chances of you getting help on this one, please give
example data (a small data.frame, a small list) that you are trying to
do this on, and also show the desired output. Whip these variables up
in your R workspace and paste the output of `dput` for each into your
follow up emai
Hi there,
I wish to merge a common variable between a list and a data.frame & return
rows via the data.frame where there is NO match. Here are some details:
The list, where the variable/col.name = CLAIM_NO
CLAIM_NO
20
83
1440
4439
7002
...
> dim(hrc78_clm_no)
[1] 66781
The data.frame, where
12 matches
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