Pivot-like transformation of a tibble?












0















I have a...



# A tibble: 6 x 10
CCG18CD CCG18CDH CCG18NM STP18CD STP18NM LAD18CD LAD18NM PCON16CD PCON16NM Dummy
<chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <dbl>
1 E38000035 07T NHS City and Hackney CCG E54000029 North East London E09000001 City of Lon~ E140006~ Cities of Lond~ 1
2 E38000035 07T NHS City and Hackney CCG E54000029 North East London E09000001 City of Lon~ E140006~ Cities of Lond~ 1
3 E38000035 07T NHS City and Hackney CCG E54000029 North East London E09000001 City of Lon~ E140006~ Cities of Lond~ 1
4 E38000035 07T NHS City and Hackney CCG E54000029 North East London E09000001 City of Lon~ E140006~ Cities of Lond~ 1
5 E38000004 07L NHS Barking and Dagenham CCG E54000029 North East London E09000002 Barking and~ E140005~ Barking 1
6 E38000004 07L NHS Barking and Dagenham CCG E54000029 North East London E09000002 Barking and~ E140005~ Barking 1


I want to do a pivot-like transformation of the PCON16CD column, with:



* each distinct variable in this column/field taking a row of a new tibble

* columns generated from the variables in the current column CCG18CD

* Values being populated with a count of the column Dummy, with results shown as a percent of row total.


...that is, all bread and butter stuff in Excel, but a task I'm struggling to get my head round for R










share|improve this question























  • habe a look at the tidyr package (Functions spread and gather).

    – floe
    Nov 21 '18 at 16:37











  • if speed is an issue (of when dealing woith large datasets), take a look at data.table's dcast-function

    – Wimpel
    Nov 21 '18 at 17:33
















0















I have a...



# A tibble: 6 x 10
CCG18CD CCG18CDH CCG18NM STP18CD STP18NM LAD18CD LAD18NM PCON16CD PCON16NM Dummy
<chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <dbl>
1 E38000035 07T NHS City and Hackney CCG E54000029 North East London E09000001 City of Lon~ E140006~ Cities of Lond~ 1
2 E38000035 07T NHS City and Hackney CCG E54000029 North East London E09000001 City of Lon~ E140006~ Cities of Lond~ 1
3 E38000035 07T NHS City and Hackney CCG E54000029 North East London E09000001 City of Lon~ E140006~ Cities of Lond~ 1
4 E38000035 07T NHS City and Hackney CCG E54000029 North East London E09000001 City of Lon~ E140006~ Cities of Lond~ 1
5 E38000004 07L NHS Barking and Dagenham CCG E54000029 North East London E09000002 Barking and~ E140005~ Barking 1
6 E38000004 07L NHS Barking and Dagenham CCG E54000029 North East London E09000002 Barking and~ E140005~ Barking 1


I want to do a pivot-like transformation of the PCON16CD column, with:



* each distinct variable in this column/field taking a row of a new tibble

* columns generated from the variables in the current column CCG18CD

* Values being populated with a count of the column Dummy, with results shown as a percent of row total.


...that is, all bread and butter stuff in Excel, but a task I'm struggling to get my head round for R










share|improve this question























  • habe a look at the tidyr package (Functions spread and gather).

    – floe
    Nov 21 '18 at 16:37











  • if speed is an issue (of when dealing woith large datasets), take a look at data.table's dcast-function

    – Wimpel
    Nov 21 '18 at 17:33














0












0








0








I have a...



# A tibble: 6 x 10
CCG18CD CCG18CDH CCG18NM STP18CD STP18NM LAD18CD LAD18NM PCON16CD PCON16NM Dummy
<chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <dbl>
1 E38000035 07T NHS City and Hackney CCG E54000029 North East London E09000001 City of Lon~ E140006~ Cities of Lond~ 1
2 E38000035 07T NHS City and Hackney CCG E54000029 North East London E09000001 City of Lon~ E140006~ Cities of Lond~ 1
3 E38000035 07T NHS City and Hackney CCG E54000029 North East London E09000001 City of Lon~ E140006~ Cities of Lond~ 1
4 E38000035 07T NHS City and Hackney CCG E54000029 North East London E09000001 City of Lon~ E140006~ Cities of Lond~ 1
5 E38000004 07L NHS Barking and Dagenham CCG E54000029 North East London E09000002 Barking and~ E140005~ Barking 1
6 E38000004 07L NHS Barking and Dagenham CCG E54000029 North East London E09000002 Barking and~ E140005~ Barking 1


I want to do a pivot-like transformation of the PCON16CD column, with:



* each distinct variable in this column/field taking a row of a new tibble

* columns generated from the variables in the current column CCG18CD

* Values being populated with a count of the column Dummy, with results shown as a percent of row total.


...that is, all bread and butter stuff in Excel, but a task I'm struggling to get my head round for R










share|improve this question














I have a...



# A tibble: 6 x 10
CCG18CD CCG18CDH CCG18NM STP18CD STP18NM LAD18CD LAD18NM PCON16CD PCON16NM Dummy
<chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <dbl>
1 E38000035 07T NHS City and Hackney CCG E54000029 North East London E09000001 City of Lon~ E140006~ Cities of Lond~ 1
2 E38000035 07T NHS City and Hackney CCG E54000029 North East London E09000001 City of Lon~ E140006~ Cities of Lond~ 1
3 E38000035 07T NHS City and Hackney CCG E54000029 North East London E09000001 City of Lon~ E140006~ Cities of Lond~ 1
4 E38000035 07T NHS City and Hackney CCG E54000029 North East London E09000001 City of Lon~ E140006~ Cities of Lond~ 1
5 E38000004 07L NHS Barking and Dagenham CCG E54000029 North East London E09000002 Barking and~ E140005~ Barking 1
6 E38000004 07L NHS Barking and Dagenham CCG E54000029 North East London E09000002 Barking and~ E140005~ Barking 1


I want to do a pivot-like transformation of the PCON16CD column, with:



* each distinct variable in this column/field taking a row of a new tibble

* columns generated from the variables in the current column CCG18CD

* Values being populated with a count of the column Dummy, with results shown as a percent of row total.


...that is, all bread and butter stuff in Excel, but a task I'm struggling to get my head round for R







r pivot tibble






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asked Nov 21 '18 at 16:22









RHinksRHinks

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  • habe a look at the tidyr package (Functions spread and gather).

    – floe
    Nov 21 '18 at 16:37











  • if speed is an issue (of when dealing woith large datasets), take a look at data.table's dcast-function

    – Wimpel
    Nov 21 '18 at 17:33



















  • habe a look at the tidyr package (Functions spread and gather).

    – floe
    Nov 21 '18 at 16:37











  • if speed is an issue (of when dealing woith large datasets), take a look at data.table's dcast-function

    – Wimpel
    Nov 21 '18 at 17:33

















habe a look at the tidyr package (Functions spread and gather).

– floe
Nov 21 '18 at 16:37





habe a look at the tidyr package (Functions spread and gather).

– floe
Nov 21 '18 at 16:37













if speed is an issue (of when dealing woith large datasets), take a look at data.table's dcast-function

– Wimpel
Nov 21 '18 at 17:33





if speed is an issue (of when dealing woith large datasets), take a look at data.table's dcast-function

– Wimpel
Nov 21 '18 at 17:33












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