Hello,
I've made Petr's solution a bit more general
Petr Savicky wrote
>
> On Mon, Feb 27, 2012 at 07:10:57PM +0100, Arnaud Gaboury wrote:
>> No, but I tried your way too.
>>
>> In fact, the only three unique rows are these ones:
>>
>> Product Price Nbr.Lots
>>Cocoa 24405
>>
On Mon, Feb 27, 2012 at 07:10:57PM +0100, Arnaud Gaboury wrote:
> No, but I tried your way too.
>
> In fact, the only three unique rows are these ones:
>
> Product Price Nbr.Lots
>Cocoa 24405
>Cocoa 24501
>Cocoa 24406
>
> Here is a dirty working trick I fo
Hello,
>
> In fact, the only three unique rows are these ones:
>
> Product Price Nbr.Lots
>Cocoa 24405
>Cocoa 24501
>Cocoa 24406
>
The code below doesn't give the three in one step.
(ixmat <- apply(reported, 1, function(x) apply(exportfile, 1, function(
rnaud Gaboury
Cc: r-help@r-project.org
Subject: Re: [R] compare two data frames of different dimensions and only keep
unique rows
is this what you want:
> v <- rbind(reported, exportfile)
> v[!duplicated(v), ]
ProductPrice Nbr.Lots
1Cocoa 2331.00 -61
2
is this what you want:
> v <- rbind(reported, exportfile)
> v[!duplicated(v), ]
ProductPrice Nbr.Lots
1Cocoa 2331.00 -61
2Cocoa 2356.00 -61
3Cocoa 2440.005
4Cocoa 2450.001
6 Coffee C 204.55 40
7 Coffee C 205
Dear list,
I am still struggling with something that should be easy: I compare two data
frames with a lot of common rows and want to keep only rows that are NOT in
both data frames, unique.
Here are an example of these data frame.
reported <-
structure(list(Product = structure(c(1L, 1L, 1L, 1L
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