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William Dunlap

2018-Jan-27 21:57 UTC

[R] Newbie wants to compare 2 huge RDSs row by row.

If your two objects have class "data.frame" (look at
class(objectName)) and
they
both have the same number of columns and the same order of columns and the
column types match closely enough (use all.equal(x1, x2) for that), then
you can try
     which( rowSums( x1 != x2 ) > 0)
E.g.,> x1 <- data.frame(X=1:5, Y=rep(c("A","B"),c(3,2)))
> x2 <- data.frame(X=c(1,2,-3,-4,5),
Y=rep(c("A","B"),c(2,3)))
> x1  X Y
1 1 A
2 2 A
3 3 A
4 4 B
5 5 B> x2   X Y
1  1 A
2  2 A
3 -3 B
4 -4 B
5  5 B> which( rowSums( x1 != x2 ) > 0)[1] 3 4

If you want to allow small numeric differences but exactly character matches
you will have to get a bit fancier.  Splitting the data.frames into
character and
numeric parts and comparing each works well.

Bill Dunlap
TIBCO Software
wdunlap tibco.com

On Sat, Jan 27, 2018 at 1:18 PM, Marsh Hardy ARA/RISK <mhardy at ara.com>
wrote:
> Hi Guys, I apologize for my rank & utter newness at R.
>
> I used summary() and found about 95 variables, both character and numeric,
> all with "Length:368842" I assume is the # of records.
>
> I'd like to know the record number (row #?) of any record where the
data
> doesn't match in the 2 files of what should be the same output.
>
> Thanks in advance, M.
>
> //
> ________________________________________
> From: Ulrik Stervbo [ulrik.stervbo at gmail.com]
> Sent: Saturday, January 27, 2018 10:00 AM
> To: Eric Berger
> Cc: Marsh Hardy ARA/RISK; r-help at r-project.org
> Subject: Re: [R] Newbie wants to compare 2 huge RDSs row by row.
>
> Also, it will be easier to provide helpful information if you'd
describe
> what in your data you want to compare and what you hope to get out of the
> comparison.
>
> Best wishes,
> Ulrik
>
> Eric Berger <ericjberger at gmail.com<mailto:ericjberger at
gmail.com>> schrieb
> am Sa., 27. Jan. 2018, 08:18:
> Hi Marsh,
> An RDS is not a data structure such as a data.frame. It can be anything.
> For example if I want to save my objects a, b, c I could do:
> > saveRDS( list(a,b,c,), file="tmp.RDS")
> Then read them back later with
> > myList <- readRDS( "tmp.RDS" )
>
> Do you have additional information about your "RDSs" ?
>
> Eric
>
>
> On Sat, Jan 27, 2018 at 6:54 AM, Marsh Hardy ARA/RISK <mhardy at ara.com
> <mailto:mhardy at ara.com>>
> wrote:
>
> > Each RDS is 40 MBs. What's a slick code to compare them row by
row, IDing
> > row numbers with mismatches?
> >
> > Thanks in advance.
> >
> > //
> >
> > ______________________________________________
> > R-help at r-project.org<mailto:R-help at 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.
> >
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org<mailto:R-help at 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.
>
> ______________________________________________
> R-help at 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.
>
	[[alternative HTML version deleted]]

Marsh Hardy ARA/RISK

2018-Jan-28 03:14 UTC

head link

[R] Newbie wants to compare 2 huge RDSs row by row.

Cool, looks like that'd do it, almost as if converting an entire record to a
character string and comparing strings.

  --  M. B. Hardy, statistician
work: Applied Research Associates, S. E. Div.
      8537 Six Forks Rd., # 6000 / Raleigh, NC 27615-2963
      (919) 582-3329, fax: 582-3301
home: 1020 W. South St. / Raleigh, NC 27603-2162
      (919) 834-1245
________________________________________
From: William Dunlap [wdunlap at tibco.com]
Sent: Saturday, January 27, 2018 4:57 PM
To: Marsh Hardy ARA/RISK
Cc: Ulrik Stervbo; Eric Berger; r-help at r-project.org
Subject: Re: [R] Newbie wants to compare 2 huge RDSs row by row.

If your two objects have class "data.frame" (look at
class(objectName)) and they
both have the same number of columns and the same order of columns and the
column types match closely enough (use all.equal(x1, x2) for that), then you can
try
     which( rowSums( x1 != x2 ) > 0)
E.g.,> x1 <- data.frame(X=1:5, Y=rep(c("A","B"),c(3,2)))
> x2 <- data.frame(X=c(1,2,-3,-4,5),
Y=rep(c("A","B"),c(2,3)))
> x1  X Y
1 1 A
2 2 A
3 3 A
4 4 B
5 5 B> x2   X Y
1  1 A
2  2 A
3 -3 B
4 -4 B
5  5 B> which( rowSums( x1 != x2 ) > 0)[1] 3 4

If you want to allow small numeric differences but exactly character matches
you will have to get a bit fancier.  Splitting the data.frames into character
and
numeric parts and comparing each works well.

Bill Dunlap
TIBCO Software
wdunlap tibco.com<http://tibco.com>

On Sat, Jan 27, 2018 at 1:18 PM, Marsh Hardy ARA/RISK <mhardy at
ara.com<mailto:mhardy at ara.com>> wrote:
Hi Guys, I apologize for my rank & utter newness at R.

I used summary() and found about 95 variables, both character and numeric, all
with "Length:368842" I assume is the # of records.

I'd like to know the record number (row #?) of any record where the data
doesn't match in the 2 files of what should be the same output.

Thanks in advance, M.

//
________________________________________
From: Ulrik Stervbo [ulrik.stervbo at gmail.com<mailto:ulrik.stervbo at
gmail.com>]
Sent: Saturday, January 27, 2018 10:00 AM
To: Eric Berger
Cc: Marsh Hardy ARA/RISK; r-help at r-project.org<mailto:r-help at
r-project.org>
Subject: Re: [R] Newbie wants to compare 2 huge RDSs row by row.

Also, it will be easier to provide helpful information if you'd describe
what in your data you want to compare and what you hope to get out of the
comparison.

Best wishes,
Ulrik

Eric Berger <ericjberger at gmail.com<mailto:ericjberger at
gmail.com><mailto:ericjberger at gmail.com<mailto:ericjberger at
gmail.com>>> schrieb am Sa., 27. Jan. 2018, 08:18:
Hi Marsh,
An RDS is not a data structure such as a data.frame. It can be anything.
For example if I want to save my objects a, b, c I could
do:> saveRDS( list(a,b,c,), file="tmp.RDS")
Then read them back later with> myList <- readRDS( "tmp.RDS" )
Do you have additional information about your "RDSs" ?

Eric

On Sat, Jan 27, 2018 at 6:54 AM, Marsh Hardy ARA/RISK <mhardy at
ara.com<mailto:mhardy at ara.com><mailto:mhardy at
ara.com<mailto:mhardy at ara.com>>>
wrote:
> Each RDS is 40 MBs. What's a slick code to compare them row by row,
IDing
> row numbers with mismatches?
>
> Thanks in advance.
>
> //
>
> ______________________________________________
> R-help at r-project.org<mailto:R-help at
r-project.org><mailto:R-help at r-project.org<mailto:R-help at
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.
>
        [[alternative HTML version deleted]]

______________________________________________
R-help at r-project.org<mailto:R-help at r-project.org><mailto:R-help
at r-project.org<mailto:R-help at 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.

______________________________________________
R-help at r-project.org<mailto:R-help at 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.

Ulrik Stervbo

2018-Jan-28 08:17 UTC

head link

[R] Newbie wants to compare 2 huge RDSs row by row.

The anti_join from the package dplyr might also be handy.

install.package("dplyr")
library(dplyr)
anti_join (x1, x2)

You can get help on the different functions by ?function.name(), so
?anti_join() will bring you help - and examples - on the anti_join
function.

It might be worth testing your approach on a small subset of the data. That
makes it easier for you to follow what happens and evaluate the outcome.

HTH
Ulrik

Marsh Hardy ARA/RISK <mhardy at ara.com> schrieb am So., 28. Jan. 2018,
04:14:
> Cool, looks like that'd do it, almost as if converting an entire record
to
> a character string and comparing strings.
>
>   --  M. B. Hardy, statistician
> work: Applied Research Associates, S. E. Div.
>       8537 Six Forks Rd., # 6000 / Raleigh, NC 27615
>
<https://maps.google.com/?q=8537+Six+Forks+Rd.,+%23+6000+/+Raleigh,+NC+27615&entry=gmail&source=g>
> -2963
>       (919) 582-3329, fax: 582-3301
> home: 1020 W. South St. / Raleigh, NC 27603
>
<https://maps.google.com/?q=1020+W.+South+St.+/+Raleigh,+NC+27603&entry=gmail&source=g>
> -2162
>       (919) 834-1245
> ________________________________________
> From: William Dunlap [wdunlap at tibco.com]
> Sent: Saturday, January 27, 2018 4:57 PM
> To: Marsh Hardy ARA/RISK
> Cc: Ulrik Stervbo; Eric Berger; r-help at r-project.org
> Subject: Re: [R] Newbie wants to compare 2 huge RDSs row by row.
>
> If your two objects have class "data.frame" (look at
class(objectName))
> and they
> both have the same number of columns and the same order of columns and the
> column types match closely enough (use all.equal(x1, x2) for that), then
> you can try
>      which( rowSums( x1 != x2 ) > 0)
> E.g.,
> > x1 <- data.frame(X=1:5,
Y=rep(c("A","B"),c(3,2)))
> > x2 <- data.frame(X=c(1,2,-3,-4,5),
Y=rep(c("A","B"),c(2,3)))
> > x1
>   X Y
> 1 1 A
> 2 2 A
> 3 3 A
> 4 4 B
> 5 5 B
> > x2
>    X Y
> 1  1 A
> 2  2 A
> 3 -3 B
> 4 -4 B
> 5  5 B
> > which( rowSums( x1 != x2 ) > 0)
> [1] 3 4
>
> If you want to allow small numeric differences but exactly character
> matches
> you will have to get a bit fancier.  Splitting the data.frames into
> character and
> numeric parts and comparing each works well.
>
> Bill Dunlap
> TIBCO Software
> wdunlap tibco.com<http://tibco.com>
>
> On Sat, Jan 27, 2018 at 1:18 PM, Marsh Hardy ARA/RISK <mhardy at ara.com
> <mailto:mhardy at ara.com>> wrote:
> Hi Guys, I apologize for my rank & utter newness at R.
>
> I used summary() and found about 95 variables, both character and numeric,
> all with "Length:368842" I assume is the # of records.
>
> I'd like to know the record number (row #?) of any record where the
data
> doesn't match in the 2 files of what should be the same output.
>
> Thanks in advance, M.
>
> //
> ________________________________________
> From: Ulrik Stervbo [ulrik.stervbo at gmail.com<mailto:
> ulrik.stervbo at gmail.com>]
> Sent: Saturday, January 27, 2018 10:00 AM
> To: Eric Berger
> Cc: Marsh Hardy ARA/RISK; r-help at r-project.org<mailto:r-help at
r-project.org
> >
> Subject: Re: [R] Newbie wants to compare 2 huge RDSs row by row.
>
> Also, it will be easier to provide helpful information if you'd
describe
> what in your data you want to compare and what you hope to get out of the
> comparison.
>
> Best wishes,
> Ulrik
>
> Eric Berger <ericjberger at gmail.com<mailto:ericjberger at
gmail.com><mailto:
> ericjberger at gmail.com<mailto:ericjberger at gmail.com>>>
schrieb am Sa., 27.
> Jan. 2018, 08:18:
> Hi Marsh,
> An RDS is not a data structure such as a data.frame. It can be anything.
> For example if I want to save my objects a, b, c I could do:
> > saveRDS( list(a,b,c,), file="tmp.RDS")
> Then read them back later with
> > myList <- readRDS( "tmp.RDS" )
>
> Do you have additional information about your "RDSs" ?
>
> Eric
>
>
> On Sat, Jan 27, 2018 at 6:54 AM, Marsh Hardy ARA/RISK <mhardy at ara.com
> <mailto:mhardy at ara.com><mailto:mhardy at
ara.com<mailto:mhardy at ara.com>>>
> wrote:
>
> > Each RDS is 40 MBs. What's a slick code to compare them row by
row, IDing
> > row numbers with mismatches?
> >
> > Thanks in advance.
> >
> > //
> >
> > ______________________________________________
> > R-help at r-project.org<mailto:R-help at
r-project.org><mailto:
> R-help at r-project.org<mailto:R-help at 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.
> >
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org<mailto:R-help at r-project.org><mailto:
> R-help at r-project.org<mailto:R-help at 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.
>
> ______________________________________________
> R-help at r-project.org<mailto:R-help at 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.
>
>
	[[alternative HTML version deleted]]

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