Hi Erik and Jim. Both solutions did the trick. Thanks you!!
--Markus
On Tue, Sep 7, 2010 at 9:05 PM, jim holtman wrote:
> try this:
>
> > merged_data = merge(incidents, responses, by=c("INC_NO", "INC_YEAR"),
> all=TRUE)
> > # responses that don't match
> > subset(merged_data, is.na(INC_TYPE),
try this:
> merged_data = merge(incidents, responses, by=c("INC_NO", "INC_YEAR"),
> all=TRUE)
> # responses that don't match
> subset(merged_data, is.na(INC_TYPE), select=c(INC_NO, INC_YEAR, UNIT_TYPE))
INC_NO INC_YEAR UNIT_TYPE
11 8 2018E3
12 8 2018E7
13
Hello,
On 09/07/2010 07:25 PM, Markus Weisner wrote:
I am merging two dataframes using a relational key (incident number and
incident year), but not all the records match up. I want to be able to
review only the records that cannot be merged for each individual dataframe
(essentially trying to
I am merging two dataframes using a relational key (incident number and
incident year), but not all the records match up. I want to be able to
review only the records that cannot be merged for each individual dataframe
(essentially trying to select records from one dataframe using a multi-value
re
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