Displaying 3 results from an estimated 3 matches for "diffprint".
2018 Jan 28
0
Newbie wants to compare 2 huge RDSs row by row.
The diffobj package (https://cran.r-project.org/package=diffobj) is
really helpful here. It provides "diff" functions diffPrint(),
diffStr(), and diffChr() to compare two object 'x' and 'y' and provide
neat colorized summary output.
Example:
> iris2 <- iris
> iris2[122:125,4] <- iris2[122:125,4] + 0.1
> diffobj::diffPrint(iris2, iris)
< iris2
> iris
@@ 121,8 / 121,8 @@
~ Sepal.Len...
2018 Jan 28
1
Newbie wants to compare 2 huge RDSs row by row.
...t: Sunday, January 28, 2018 11:12 AM
To: Ulrik Stervbo
Cc: Marsh Hardy ARA/RISK; r-help at r-project.org
Subject: Re: [R] Newbie wants to compare 2 huge RDSs row by row.
The diffobj package (https://cran.r-project.org/package=diffobj) is
really helpful here. It provides "diff" functions diffPrint(),
diffStr(), and diffChr() to compare two object 'x' and 'y' and provide
neat colorized summary output.
Example:
> iris2 <- iris
> iris2[122:125,4] <- iris2[122:125,4] + 0.1
> diffobj::diffPrint(iris2, iris)
< iris2
> iris
@@ 121,8 / 121,8 @@
~ Sepal.Len...
2018 Jan 28
2
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