[R] [r] How to pick colums from a ragged array?
arun
smartpink111 at yahoo.com
Tue Oct 23 15:05:24 CEST 2012
HI,
I was not following the thread.
May be this is what you are looking for:
new1<-id.d[duplicated(id.d)|duplicated(id.d,fromLast=TRUE),]
tapply(new1$ID,new1$DATE,head,1)
#19870508 20040205 20040429 20050421
# 1019 167 814 841
A.K.
----- Original Message -----
From: Stuart Leask <Stuart.Leask at nottingham.ac.uk>
To: PIKAL Petr <petr.pikal at precheza.cz>; "r-help at r-project.org" <r-help at r-project.org>
Cc:
Sent: Tuesday, October 23, 2012 8:28 AM
Subject: Re: [R] [r] How to pick colums from a ragged array?
Hi there.
Not sure I follow what you are doing.
I want a list of all the IDs that have duplicate DATE entries, only when the DATE is the earliest (or last) date for that ID.
I have refined my test dataset, to include some tests (e.g. 910 has the same dup as 1019, but for 910 it's not the earliest date):
ID <- c(58,58,58,58,167,167,323,323,323,323,323,323,323
,547,794,814,814,814,814,814,814,841,841,841,841,841
,841,841,841,841,910,910,910,910,910,910,999,1019,1019
,1019)
DATE <-
c(20060821,20061207,20080102,20090904,20040205,20040205,20051111
,20060111,20071119,20080107,20080407,20080521,20080711,20041005
,20070905,20020814,20021125,20040429,20040429,20071205,20080227
,20050421,20050421,20060428,20060602,20060816,20061025,20061129
,20070112,20070514, 19870508,20040205,20040205, 20091120,20091210
,20091224,20050503,19870508,19870508,19880330)
Correct output:
"167" "841" "1019"
Stuart
-----Original Message-----
From: PIKAL Petr [mailto:petr.pikal at precheza.cz]
Sent: 23 October 2012 13:15
To: Stuart Leask; r-help at r-project.org
Subject: RE: [r] How to pick colums from a ragged array?
Hi
Rui's answer brought me to more elaborated solution which still needs data frame to be ordered by date
fff<-function(data, first=TRUE, remove=FALSE) {
testfirst <- function(x) x[1,2]==x[2,2]
testlast <- function(x) x[length(x),2]==x[length(x)-1,2]
if(first) sel <- as.numeric(names(which(sapply(split(data, data[,1]), testfirst)))) else sel <- as.numeric(names(which(sapply(split(data, data[,1]), testlast))))
if (remove) data[data[,1]!=sel,] else data[data[,1]==sel,] }
> fff(id.d)
ID DATE
31 910 20091105
32 910 20091105
33 910 20091117
34 910 20091119
35 910 20091120
36 910 20091210
37 910 20091224
38 910 20091224
> fff(id.d, remove=T)
ID DATE
1 58 20060821
2 58 20061207
3 58 20080102
4 58 20090904
5 167 20040205
6 167 20040323
7 323 20051111
8 323 20060111
9 323 20071119
10 323 20080107
11 323 20080407
12 323 20080521
13 323 20080711
14 547 20041005
15 794 20070905
16 814 20020814
17 814 20021125
18 814 20040429
19 814 20040429
20 814 20071205
21 814 20080227
22 841 20050421
23 841 20060130
24 841 20060428
25 841 20060602
26 841 20060816
27 841 20061025
28 841 20061129
29 841 20070112
30 841 20070514
39 999 20050503
40 1019 19870508
41 1019 19880223
42 1019 19880330
43 1019 19880330
>
Regards
Petr
> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of PIKAL Petr
> Sent: Tuesday, October 23, 2012 1:49 PM
> To: Stuart Leask; r-help at r-project.org
> Subject: Re: [R] [r] How to pick colums from a ragged array?
>
> Hi
>
> I did not check your code and rather followed your explanation. BTW,
> thanks for test data.
>
> small change in data frame to make DATE as Date class
>
> datum<-as.Date(as.character(DATE), format="%Y%m%d") id.d <-
> data.frame(ID,datum )
>
> ordering by date
>
> id.d<-id.d[order(id.d$datum),]
>
>
> two functions to test if first two dates are the same or last two
> dates are the same
>
> testfirst <- function(x) x[1,2]==x[2,2] testlast <- function(x)
> x[length(x),2]==x[length(x)-1,2]
>
> change one last date in the data frame to be the same as previous
>
> id.d[35,2]<-id.d[36,2]
>
> and here are results
>
> sapply(split(id.d, id.d$ID), testlast)
> 58 167 323 547 794 814 841 910 999 1019
> FALSE FALSE FALSE NA NA FALSE FALSE TRUE NA FALSE
>
> > sapply(split(id.d, id.d$ID), testfirst)
> 58 167 323 547 794 814 841 910 999 1019
> FALSE FALSE FALSE NA NA FALSE FALSE FALSE NA FALSE
>
> Now you can select ID which is true and remove it from your data
> which(sapply(split(id.d, id.d$ID), testlast))
>
> and use it for your data frame to subset/remove id.d$ID ==
> as.numeric(names(which(sapply(split(id.d, id.d$ID), testlast)))) [1]
> FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
> FALSE [13] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
> FALSE FALSE [25] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
> FALSE TRUE TRUE [37] TRUE TRUE TRUE TRUE
>
> However I am not sure if this is exactly what you want.
>
> Regards
> Petr
>
> > -----Original Message-----
> > From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> > project.org] On Behalf Of Stuart Leask
> > Sent: Tuesday, October 23, 2012 11:38 AM
> > To: r-help at r-project.org
> > Subject: [R] [r] How to pick colums from a ragged array?
> >
> > I have a large dataset (~1 million rows) of three variables: ID
> > (patient's name), DATE (of appointment) and DIAGNOSIS (given on that
> > date).
> > Patients may have been assigned more than one diagnosis at any one
> > appointment - leading to two rows, same ID and DATE but different
> > DIAGNOSIS.
> > The diagnoses may change between appointments.
> >
> > I want to subset the data in two ways:
> >
> > - define groups of patients by the first diagnosis given
> >
> > - define groups of patients by the last diagnosis given.
> >
> > The problem:
> > Unfortunately, a small number of patients have been given more than
> > one diagnosis at their first (or last) appointment. These
> > individuals I need to identify and remove, as it's not possible to
> > say uniquely what their first (or last) diagnosis was. So I need to
> > identify and remove these individuals which have pairs of rows with
> > the same ID
> and
> > (lowest or highest) DATE. The size of the dataset precludes the
> option
> > of doing this by eye.
> >
> > I suspect there is a very elegant way of doing this in R.
> >
> > This is what I've come up with:
> >
> >
> > - Sort by DATE then ID
> >
> > - Make a ragged array of DATE by ID
> >
> > - Remove IDs that only occur once.
> >
> > - Subtract the first and second DATEs. Remove IDs for which
> > this = zero, as this will only be true for IDs for which the
> > appointment is recorded twice (because there were two diagnoses
> > recorded on this date).
> >
> > - (Then do the same to get the 'last appointment'
> duplicates,
> > by reversing the initial sort by DATE.)
> >
> > I am stuck at the 'Subtract dates' step: I would like to get the
> > data out of the ragged array by columns (so e.g. I end up with a
> > matrix of ID, 1st DATE, 2nd DATE). But I can't get the dates out by
> > column from the ragged array.
> >
> > I hope someone can help. My ugly code is below, with some data for
> > testing.
> >
> >
> > Stuart
> >
> >
> > Dr Stuart John Leask DM FRCPsych MB BChir MA Clinical Senior
> > Lecturer and Honorary Consultant Pychiatrist Institute of Mental
> > Health, Innovation Park Triumph Road, Nottingham, Notts. NG7 2TU. UK
> > Tel. +44
> > 115 82 30419
> > stuart.leask at nottingham.ac.uk<mailto:stuart.leask at nottingham.ac.uk>
> > Google 'Dr Stuart Leask'
> >
> >
> > ID <- c(58,58,58,58,167,167,323,323,323,323,323,323,323
> > ,547,794,814,814,814,814,814,814,841,841,841,841,841
> > ,841,841,841,841,910,910,910,910,910,910,999,1019,1019
> > ,1019)
> >
> > DATE <-
> > c(20060821,20061207,20080102,20090904,20040205,20040323,20051111
> > ,20060111,20071119,20080107,20080407,20080521,20080711,20041005
> > ,20070905,20020814,20021125,20040429,20040429,20071205,20080227
> > ,20050421,20060130,20060428,20060602,20060816,20061025,20061129
> > ,20070112,20070514,20091105,20091117,20091119,20091120,20091210
> > ,20091224,20050503,19870508,19880223,19880330)
> >
> > id.d <- cbind (ID,DATE )
> > rag.a <- split ( id.d [ ,2 ], id.d [ ,1]) # create
> > ragged array, 1-n DATES for every NAME
> >
> > # Inelegant attempt to remove IDs that only have one entry:
> >
> > rag.s <-tapply (id.d [ ,2], id.d [ ,1], sum) #add up the
> > dates per row
> > # Since DATE is in 'year mo da', if there's only one date, sum will
> be
> > less than 2100000:
> > rag.t <- rag.s [ rag.s > 21000000 ]
> > multi.dates <- rownames ( rag.t ) # all the
> IDs
> > with >1 date
> > rag.am <- rag.a [ multi.dates ] # rag.am
> only
> > has IDs with > 1 Date
> >
> >
> > # But now I'm stuck.
> > # Each row of the array is rag.am$ID.
> > # So I can't pick columns of DATEs from the ragged array.
> >
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