Re: [R] Creating NA equivalent

2021-12-26 Thread Adrian Dușa
-Original Message- > From: R-help On Behalf Of Duncan Murdoch > Sent: Tuesday, December 21, 2021 5:26 AM > To: Marc Girondot ; r-help@r-project.org > Subject: Re: [R] Creating NA equivalent > > On 20/12/2021 11:41 p.m., Marc Girondot via R-help wrote: > > Dear members

Re: [R] Creating NA equivalent

2021-12-22 Thread John Dougherty via R-help
On Tue, 21 Dec 2021 05:41:31 +0100 Marc Girondot via R-help wrote: > Dear members, > > I work about dosage and some values are bellow the detection limit. I > would like create new "numbers" like LDL (to represent lower than > detection limit) and UDL (upper the detection limit) that behave

Re: [R] Creating NA equivalent

2021-12-21 Thread Avi Gross via R-help
: Tuesday, December 21, 2021 5:00 PM To: Avi Gross Cc: r-help mailing list ; Adrian Dușa Subject: Re: [R] Creating NA equivalent Please pardon a comment that may be off-target as well as off-topic. This appears similar to a number of things like fuzzy logic, where an instance can take incomp

Re: [R] Creating NA equivalent

2021-12-21 Thread Jim Lemon
ry of NA that sounds a bit like what you want. His > > > functions should allow the creation of such data within R, as well. I am > > > including him in this email if you want to contact him or he has > > > something to say. > > > > > > > > >

Re: [R] Creating NA equivalent

2021-12-21 Thread Bert Gunter
> > category of NA that sounds a bit like what you want. His functions should > > allow the creation of such data within R, as well. I am including him in > > this email if you want to contact him or he has something to say. > > > > > > -----Original Me

Re: [R] Creating NA equivalent

2021-12-21 Thread Jim Lemon
nctions should > allow the creation of such data within R, as well. I am including him in this > email if you want to contact him or he has something to say. > > > -Original Message- > From: R-help On Behalf Of Duncan Murdoch > Sent: Tuesday, December 21, 2021 5:

Re: [R] Creating NA equivalent

2021-12-21 Thread Avi Gross via R-help
ct: Re: [R] Creating NA equivalent On 20/12/2021 11:41 p.m., Marc Girondot via R-help wrote: > Dear members, > > I work about dosage and some values are bellow the detection limit. I > would like create new "numbers" like LDL (to represent lower than > detection limit)

Re: [R] Creating NA equivalent

2021-12-21 Thread Viechtbauer, Wolfgang (SP)
due >> to some lower detection limit) does not make a fundamental difference. In >> fact, >> the type of model you are thinking of with 2) is a Tobit model, which can be >> fitted using the survival package (or censReg). >> >> Best, >> Wolfgang >> >>

Re: [R] Creating NA equivalent

2021-12-21 Thread Chris Evans
you are thinking of with 2) is a Tobit model, which can be > fitted using the survival package (or censReg). > > Best, > Wolfgang > >>-Original Message- >>From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Chris Evans >>Sent: Tuesday, 21 December,

Re: [R] Creating NA equivalent

2021-12-21 Thread Viechtbauer, Wolfgang (SP)
gt;Subject: Re: [R] Creating NA equivalent > > I am neither a programmer nor a professional statistician but this topic > interests me because: > > 1) I remember from long, long ago that S had a way to create labels that could >denote multiple ways in which a value

Re: [R] Creating NA equivalent

2021-12-21 Thread Chris Evans
ot; , r-help@r-project.org > Sent: Tuesday, 21 December, 2021 10:26:12 > Subject: Re: [R] Creating NA equivalent > On 20/12/2021 11:41 p.m., Marc Girondot via R-help wrote: >> Dear members, >> >> I work about dosage and some values are bellow the detection limi

Re: [R] Creating NA equivalent

2021-12-21 Thread Duncan Murdoch
On 20/12/2021 11:41 p.m., Marc Girondot via R-help wrote: Dear members, I work about dosage and some values are bellow the detection limit. I would like create new "numbers" like LDL (to represent lower than detection limit) and UDL (upper the detection limit) that behave like NA, with the

Re: [R] Creating NA equivalent

2021-12-20 Thread Bert Gunter
Beyond known limits are left/right censored data. You need to use statistical methodology that handles censoring. See the survival package and the CRAN Survival task view for this -- or consult an appropriate expert. There are of course standard ways of annotating such data in these packages.