I am currently trying to transpose some large panel data set ie transposing multiple rows in into a single column. instead the transpose functionality transposes all rows into columns. my sample data set looks like below:
ACCT_NUM ACCOUNT_NAME TRAN_AMT DATE EMPLOYER 101913 GK 7489 30-Apr-10 PENSION 101913 GK 7489 30-May-10 PENSION 101913 GK 7489 30-Jun-10 PENSION 101913 GK 7489 31-Jul-10 PENSION 101913 GK 7489 31-Jan-10 PENSION 101913 GK 7489 28-Feb-10 PENSION 101913 GK 7489 31-Mar-10 PENSION 101913 GK 7489 30-Oct-10 PENSION 101913 GK 7489 30-Aug-10 PENSION 101913 GK 7489 23-Sep-10 PENSION 101913 GK 53772 30-Sep-10 MKU 101920 CKM 22739.7 31-Jul-10 POLICE 101920 CKM 18327.6 30-Sep-10 POLICE 101920 CKM 8840.4 31-Mar-10 POLICE 101920 CKM 8986.25 24-May-10 POLICE 101920 CKM 34252.2 30-Jun-10 POLICE 101920 CKM 8913.35 30-Apr-10  POLICE  Ideally i would like a row to have one row of ACCT_NUM and TranAmount and Date be transposed to columns. Thanks Kind regards, Tabitha Mundia , Project Management Office, Equity Bank Limited,P.O. Box 75104-00200 Head Office, Upper hill, NHIF BLDG, 14th Floor, Nairobi, Kenya Direct Extension : +254732112721  Mobile: +254722309538 Email: tabitha.mun...@equitybank.co.keskype ID: twamaeYahoo ID: tabygath...@yahoo.com An idea not coupled with action will never get any bigger than the brain cell it occupied. Arnold Glasgow ...... "Attempt something large enough that failure is guaranteedâ¦unless God steps in!" --- On Mon, 12/20/10, Kohleth Chia <kohl...@gmail.com> wrote: From: Kohleth Chia <kohl...@gmail.com> Subject: [R] package "arules" - 'transpose' of the transactions To: r-help@r-project.org Date: Monday, December 20, 2010, 8:41 AM Suppose this is my list of transactions: set.seed(200) tran=random.transactions(100,3) inspect(tran)  items  transactionID 1 {item80}    trans1 2 {item8,    item20}    trans2 3 {item28}    trans3 I want to get the 'transpose' of the data, i.e.  transactionID items 1 {trans2}    item8 2 {trans2}    item20 3 {trans3}    item28 4 {trans1}    item80 I tried converting tran into a matrix, then transpose it, then convert it back to transactions. But my dataset is actually very very large, so I wonder if there is any faster method? Thanks -- KC    [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list 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@r-project.org mailing list 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.