R language Combat-basic data Management (3)

8. Sorting Data

> leadership$age[1] na> newdata <-leadership[order (leadership$age),]> NewData Manager testDate       Country gender Age Item1 item2 item3 item4 item53 3 2008-10-01 UK F 25 3 5 5 5 21     1 2008-10-24 US M 5 4 5 5 4 2008-10-12 UK m 39 3 3 4     Na NA2 2 2008-10-28 US F 3 5 2 5 5 2009-05-01 UK F NA 2 2 1 2 1 Stringasfactors agecat3 false Young1 false Young4 false you Ng2 false Young5 false <NA>> > > Attach (Leadership) The following objects is masked _by_. Globalenv:age, country, gender, manager> NewData <-Leadership[order (gender, age),]> Detach (Leadership) > N     Ewdata Manager testdate Country Gender age item1 item2 item3 item4 item53 3 2008-10-01 UK F 25 3  5 5 5   2 2008-10-28 US F 3 5 2 5 5 2009-05-01 UK F NA 2      2 1 2 1 2008-10-24 US M + 5 4 5 5 the 4 2008-10-12 UK M 3 3 4 na na stringasfactors agecat3 false Young2 false Young5 FA LSE <na>1 false Young4 false young> > Attach (Leadership) The following objects is mask Ed _by_. Globalenv:age, country, gender, manager> NewData <-leadership[order (Gender,-age),]> Detach (Leadership) >     NewData Manager testdate Country Gender age item1 item2 item3 item4 item55 5 2009-05-01 UK F NA 2      2 1 2 2 2008-10-28 US F 3 5 2 5 (3 2008-10-01 UK) F 3 5 5 5 4 2008-10-12 UK M (3 3 4 NA NA1 1 2008 -10-24 US     M 5 4 5 5 5 Stringasfactors agecat5 false <na>2 false Young3  False Young4 false Young1 false young>

9. Merging data sets

9.1 Adding columns

> Patientid <-C (1, 2, 3, 4) > Age <-C (+,,) > Status <-C ("Poor", "improved", "excellent", "PO or ") > Gender <-C (" F "," M "," M "," F ") > Dataframea <-data.frame (Patientid, gender) > Dataframea Patientid g Ender1 1 F2 2 M3 3 M4 4 f> dataframeb <-data.frame (Patientid, a GE, status) > Dataframeb Patientid age status1 1 Poor2 2 improved3 3 + Excel LENT4 4 poor> Total <-merge (Dataframea, Dataframeb, by= "ID") Error in Fix.by (by.x, X): ' By ' must s Pecify a uniquely valid column> total <-merge (Dataframea, Dataframeb, by= "Patientid") > Total Patientid Gender a      GE Status1 1 F poor2 2 m improved3 3 m EXCELLENT4 4 F-poor> Total <-merge (Dataframea, Dataframeb, By=c ("Gender", "Age")) Error in Fix.by (by.x, X): ' By ' mus T specify a uniquely ValID column> Total <-merge (Dataframea, Dataframeb, By=c ("Patientid", "Age")) Error in Fix.by (by.x, X): ' By ' must spec    Ify a uniquely valid column> > Total <-cbind (Dataframea, DATAFRAMEB) > Total Patientid gender patientid  Status1 1 F 1 Poor2 2 m 2 improved3 3 M 3  EXCELLENT4 4 F 4 poor>

9.2 Adding rows

> Total <-rbind (Dataframea, Dataframeb) Error in Rbind (Deparse.level, ...): Numbers of columns of arguments do   Not match

10. Subset of data sets

10.1 optional (Reserved) variables

10.2 Reject (Discard) variable

10.3 Optional Observations

10.4 Subset () function

10.5 Random Sampling

R language Combat-basic data Management (3)