Hi Kai,
How about setting:
germlinepatients$DisclosureStatus <- NA
then having your three conditional statements as indices:
germlinepatients$DisclosureStatus[germlinepatients$gl_resultsdisclosed
== 1] <-"DISCLOSED"
germlinepatients$DisclosureStatus[germlinepatients$
gl_resultsdisclosed == 0]
Hello List,
I wrote the script below to assign value to a new field DisclosureStatus.
my goal is if gl_resultsdisclosed=1 then DisclosureStatus=DISCLOSED
else if gl_resultsdisclosed=0 then DisclosureStatus= ATTEMPTED
else if gl_resultsdisclosed is missing and gl_discloseattempt1 is not missing
On Thu, Dec 3, 2009 at 9:52 PM, John Filben johnfil...@yahoo.com wrote:
Can R support data manipulation programming that is available in the SAS
datastep? Specifically, can R support the following:
- Read multiple dataset one record at a time and compare values from
each; then base
This is probably far more discussion than the question warranted, but...
On Thu, Dec 3, 2009 at 11:14 PM, David Winsemius dwinsem...@comcast.net wrote:
On Dec 3, 2009, at 10:52 PM, Gray Calhoun wrote:
The data import/export manual can elaborate on a lot of these; this is
all straightforward,
Can R support data manipulation programming that is available in the SAS
datastep? Specifically, can R support the following:
-Â Â Â Â Â Â Â Â Â Read multiple dataset one record at a time and compare
values from each; then base on if-then logic write to multiple output files
-Â Â Â Â Â Â Â Â
On Thu, Dec 3, 2009 at 3:52 PM, John Filben johnfil...@yahoo.com wrote:
Can R support data manipulation programming that is available in the SAS
datastep? Specifically, can R support the following:
- Read multiple dataset one record at a time and compare values from
each; then base
Please refrain from posting HTML. The results can be incomprehensible:
On 2009.12.03 13:52:09, John Filben wrote:
Can R support data manipulation programming that is available in the SAS
datastep??? Specifically, can R support the following:
-?? Read multiple dataset one
The data import/export manual can elaborate on a lot of these; this is
all straightforward, although many people would prefer to use a
relational database for some of the things you mentioned. I'm not
aware of a goto command in R, though (although I could be wrong).
--Gray
On Thu, Dec 3, 2009 at
On Dec 3, 2009, at 10:52 PM, Gray Calhoun wrote:
The data import/export manual can elaborate on a lot of these; this is
all straightforward, although many people would prefer to use a
relational database for some of the things you mentioned.
See Wickham's pithy response to this.
I'm not
Dear R-listers,
I am a relatively inexperienced R-user currently migrating from Stata. I
am deeply frustrated by this data manipulation question: I know how I
could do it in Stata, but I cannot make it work in R.
I have a data frame of hospitalization data where each row represents an
admission.
How about:
id - c(rep(a,4),rep(b,2), rep(c,5), rep(d,1))
start - c(c(0,6,17,20),c(0,1),c(0,5,10,11,50),c(0))
stop - c(c(6,12,20,30),c(1,10),c(3,10,11,30,55),c(6))
data - data.frame(id,start,stop)
f - function(data){
m - match(data$start,data$stop) + 1
if (length(m)==1
On Thu, Nov 6, 2008 at 4:23 PM, Peter Jepsen [EMAIL PROTECTED] wrote:
Here is an example:
id - c(rep(a,4),rep(b,2), rep(c,5), rep(d,1))
start - c(c(0,6,17,20),c(0,1),c(0,5,10,11,50),c(0))
stop - c(c(6,12,20,30),c(1,10),c(3,10,11,30,55),c(6))
data - as.data.frame(cbind(id,start,stop))
data
special cases outside my small example dataset.
Thank you again!
Peter.
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On Behalf Of bartjoosen
Sent: 6. november 2008 11:31
To: r-help@r-project.org
Subject: Re: [R] Data manipulation question
How about:
id - c(rep(a,4
Dear R users,
I am a new user (probably obvious by my question) and
have really learned a lot from reading this list.
Thank you all very much. My main struggles with R are
with data manipulation.
So here is my question...
I have data that is organized as below, this is a
short example.
value
Michael Denslow [EMAIL PROTECTED] wrote in
news:[EMAIL PROTECTED]:
Dear R users,
I am a new user (probably obvious by my question) and
have really learned a lot from reading this list.
Thank you all very much. My main struggles with R are
with data manipulation.
So here is my
Hi all,
Suppose I have the following data.frame, with an id column and two
variables columns :
idX Y
0001 NA 21
0002 NA 13
0003 000145
0004 NA 71
0005 000320
What I would like to do is to create a new variable Z whose values are
the
Try this:
transform(d, z = y[match(x, id)])
On 10/10/07, Julien Barnier [EMAIL PROTECTED] wrote:
Hi all,
Suppose I have the following data.frame, with an id column and two
variables columns :
idX Y
0001 NA 21
0002 NA 13
0003 000145
0004
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