Home/ Questions/Q 8287689
In Process

The Archive Base Latest Questions

Editorial Team
  • 0
Asked: 2026-06-08T12:07:07+00:00

I’ve a data like this in a text file fd50c4007b68a3737fe052d5a4f78ce8aa117f3d SOEGIYH12A6D4FC0E3 1 fd50c4007b68a3737fe052d5a4f78ce8aa117f3d SOFLJQZ12A6D4FADA6

  • 0

I’ve a data like this in a text file

fd50c4007b68a3737fe052d5a4f78ce8aa117f3d    SOEGIYH12A6D4FC0E3  1
fd50c4007b68a3737fe052d5a4f78ce8aa117f3d    SOFLJQZ12A6D4FADA6  1
fd50c4007b68a3737fe052d5a4f78ce8aa117f3d    SOHTKMO12AB01843B0  1
fd50c4007b68a3737fe052d5a4f78ce8aa117f3d    SODQZCY12A6D4F9D11  1
fd50c4007b68a3737fe052d5a4f78ce8aa117f3d    SOXLOQG12AF72A2D55  1
d7083f5e1d50c264277d624340edaaf3dc16095b    SOUVUHC12A67020E3B  1
d7083f5e1d50c264277d624340edaaf3dc16095b    SOUQERE12A58A75633  1
d7083f5e1d50c264277d624340edaaf3dc16095b    SOIPJAX12A8C141A2D  1
d7083f5e1d50c264277d624340edaaf3dc16095b    SOEFCDJ12AB0185FA0  2
d7083f5e1d50c264277d624340edaaf3dc16095b    SOATCSU12A8C13393A  2

Which I am successfully able to keep in a variable but:

  1. I need to sort this data with respect to third field.
  2. I need to sort the data with respect to first field and group it with respect to same 1st field and want to sum t he 3rd field in a group.

Is it possible to do with R language?

The output should be:

fd50c4007b68a3737fe052d5a4f78ce8aa117f3d 5
d7083f5e1d50c264277d624340edaaf3dc16095b 7
Share

Leave an answer

You must login to add an answer.

Need An Account,

1 Answer

  1. Editorial Team

    Q1: Sorting a dataframe by one column is generally done with order. You do need to name the dataframe within order, which may seem superfluous to a new useR. But the numeric indexing is highly flexible and numeric vectors of various constructions can also produce useful results, so the requirement for a specific vector object is needed.

    > dat[ order(dat$V1), ]
                                         V1                 V2 V3
6  d7083f5e1d50c264277d624340edaaf3dc16095b SOUVUHC12A67020E3B  1
7  d7083f5e1d50c264277d624340edaaf3dc16095b SOUQERE12A58A75633  1
8  d7083f5e1d50c264277d624340edaaf3dc16095b SOIPJAX12A8C141A2D  1
9  d7083f5e1d50c264277d624340edaaf3dc16095b SOEFCDJ12AB0185FA0  2
10 d7083f5e1d50c264277d624340edaaf3dc16095b SOATCSU12A8C13393A  2
1  fd50c4007b68a3737fe052d5a4f78ce8aa117f3d SOEGIYH12A6D4FC0E3  1
2  fd50c4007b68a3737fe052d5a4f78ce8aa117f3d SOFLJQZ12A6D4FADA6  1
3  fd50c4007b68a3737fe052d5a4f78ce8aa117f3d SOHTKMO12AB01843B0  1
4  fd50c4007b68a3737fe052d5a4f78ce8aa117f3d SODQZCY12A6D4F9D11  1
5  fd50c4007b68a3737fe052d5a4f78ce8aa117f3d SOXLOQG12AF72A2D55  1

    Q2: To sum a vector within categories and return a dataframe, use aggregate:

    > with(dat , aggregate(V3 ~ V1) )
                                        V1 V3
6 d7083f5e1d50c264277d624340edaaf3dc16095b  7
1 fd50c4007b68a3737fe052d5a4f78ce8aa117f3d  5

    If it needs to be ordered:

    > dat2 <- with(dat , aggregate(V3 ~ V1) )
> dat2[order(dat2$V1), ]
                                        V1 V3
6 d7083f5e1d50c264277d624340edaaf3dc16095b  7
1 fd50c4007b68a3737fe052d5a4f78ce8aa117f3d  5
    • 0