Hi,
tapply(new1[,1],new1[,2],head,1) # works.
I used:
id.d<-data.frame(ID,DATE)
#In that case,
tapply(new1$ID,new1$DATE,head,1)
#works
On closer look, I think you don't want "814" id.? Not sure about the logic behind that.
A.K.
----- Original Message -----
From: Stuart Leask <Stuart.Leask at nottingham.ac.uk>
To: arun <smartpink111 at yahoo.com>
Cc: Petr PIKAL <petr.pikal at precheza.cz>
Sent: Tuesday, October 23, 2012 9:15 AM
Subject: RE: [R] [r] How to pick colums from a ragged array?
Sorry Arun, but when I run it I get an error:
ID <- c(58,58,58,58,167,167,323,323,323,323,323,323,323
Error in new1$DATE : $ operator is invalid for atomic vectors
-----Original Message-----
From: arun [mailto:smartpink111 at yahoo.com]
Sent: 23 October 2012 14:05
To: Stuart Leask
Cc: R help; Petr PIKAL
Subject: Re: [R] [r] How to pick colums from a ragged array?
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,] }
-----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
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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