similar to: logistic regression with package 'mice'

Dear R users I want to combine multiply imputed data-sets generated from mice to do classfication. However, I have various questions regarding the use of mice library. For example suppose I want to predict the class in this data.frame: data(nhanes) mydf=nhanes mydf$class="pos" mydf$class[sample(1:nrow(mydf), size=0.5*nrow(mydf))]="neg" mydf$class=factor(mydf$class) First I

Hello I would like to pass a model formula as an argument to the with.mids function from the mice package. The with.mids functon fits models to multiply imputed data sets. Here's a simple example library(mice) #Create multiple imputations on the nhanes data contained in the mice package. imp <- mice(nahnes) #Fitting a linear model with each imputed data set the regular way works

Hi everyone, my apologies in advance if I'm overlooking something simple in this question. I am trying to use R's survey package to make a direct method age-adjustment to some complex survey data. I have played with postStratify, calibrate, rake, and simply multiplying the base weights by the correct proportions - nothing seems to hit the published numbers on the nose. I am trying to

Hi there: I'm having a weird problem with my startup procedure. R.app is reading an unknown .Rprofile file. First, I'm on a Mac Os 10.6.8 running R.app 2.15.0 On startup > getwd() [1] "/Users/simon" But: the contents of my .Rprofile file in my home directory when viewed with a text editor are: .First<-function() {

I am a physician examining an NHANES dataset available at the NCHS website: http://www.cdc.gov/nchs/about/major/nhanes/nhanes2005-2006/demo_d.xpt http://www.cdc.gov/nchs/about/major/nhanes/nhanes2005-2006/hdl_d.xpt http://www.cdc.gov/nchs/about/major/nhanes/nhanes2005-2006/tchol_d.xpt Thank you to the R authors and the foreign package authors in particular. Importing from the SAS export

I need a picture like this: http://rwiki.sciviews.org/doku.php?id=graph_gallery:graph38 http://rwiki.sciviews.org/doku.php?id=graph_gallery:graph38 but when I try compile it require("hexbin") data(NHANES)# pretty large data set! good <- !(is.na(NHANES$Albumin) | is.na(NHANES$Transferin)) NH.vars <- NHANES[good,

Il 01/12/2015 16:19, Timo Sirainen ha scritto: > On 01 Dec 2015, at 17:10, Antonello Cioffi <antonello.cioffi at uniparthenope.it> wrote: >> Hi >> >> I'm using postfix+dovecot (2.2.18). >> >> The problem is that dovecot silently discard message when user has its own mailbox full without sending rejection message to the sender. >> >> Here a

R gurus, Every so often(*) someone asks how to suppress scientific notation in printing, so I thought I'd give it a shot, but I need some help. The formatting decision is made(**) on line 286 of src/main/format.c : if (mF <= *m) { /* IFF it needs less space : "F" (Fixpoint) format */ where mF is the number of characters for "normal" printing and *m is the number

Thanks for the report. The approach you outlines below should work -- I'll look into it. Best, luke On Mon, 8 Oct 2018, Michael Sannella wrote: > While implementing R's new 'altrep' functionality in the TERR engine, > I discovered a bug in R's 'deferred_string' altrep object: it is not > using the correct value of the 'OutDec' option when it expands

While implementing R's new 'altrep' functionality in the TERR engine, I discovered a bug in R's 'deferred_string' altrep object: it is not using the correct value of the 'OutDec' option when it expands a deferred_string. See the following example: R 3.5.1: (same results in R 3.6.0 devel engine built 10/5) > options(scipen=0, OutDec=".") >

Dear R enthusiasts, I would like to announce nhanesA, a package that enables easy retrieval of the data tables that are available at the National Health and Nutritional Examination Survey (NHANES). NHANES data are used in over 10,000 peer-reviewed journal publications every year. In addition to easy table download, nhanesA features several functions that implement web scraping (using rvest) to

Dear R enthusiasts, I would like to announce nhanesA, a package that enables easy retrieval of the data tables that are available at the National Health and Nutritional Examination Survey (NHANES). NHANES data are used in over 10,000 peer-reviewed journal publications every year. In addition to easy table download, nhanesA features several functions that implement web scraping (using rvest) to

On 02/02/2010 6:20 AM, Dimitri Shvorob wrote: > Ruben Roa has kindly suggested using 'scipen' option - cf. > >> fixed notation will be preferred unless it is more than ???scipen??? digits >> wider. > > However, > > options(scipen = 50) > x = c(1e7, 2e7) > barplot(x) > > still does not produce the desired result. This is strange. I see what

murdoch at stats.uwo.ca wrote: > On 02/02/2010 6:20 AM, Dimitri Shvorob wrote: >> Ruben Roa has kindly suggested using 'scipen' option - cf. >> >>> fixed notation will be preferred unless it is more than =C3=A2=E2=82=AC= =CB=9Cscipen=C3=A2=E2=82=AC=E2=84=A2 digits >>> wider. >> However,=20 >> >> options(scipen =3D 50) >> x =3D

Dear Ladies and Gentlemen, I have a fairly large database (N=13,000) and a single main categorical discriminator between the groups. I want to look at the time course of a number of continuous biochemical variables over chronologic age. Therefore I believe I need to prepare hexbinplots in two columns with simple regression lines in them (with useOuterStrips (in library(latticeExtra) if

On 01 Dec 2015, at 17:10, Antonello Cioffi <antonello.cioffi at uniparthenope.it> wrote: > > Hi > > I'm using postfix+dovecot (2.2.18). > > The problem is that dovecot silently discard message when user has its own mailbox full without sending rejection message to the sender. > > Here a sample log: > > Dec 1 14:54:23 posta2 postfix/smtp[21478]:

Hello! If I understand this listserve correctly, I can email this address to get help when I am struggling with code. If this is inaccurate, please let me know, and I will unsubscribe. I have been struggling with the same error message for a while, and I can't seem to get past it. Here is the issue: I am using a data set that uses -1:-9 to indicate various kinds of missing data. I changed

Hello folks, I am a relatively new user of R and created multiply imputed data sets with the 'mice' library. This library provides two functions for complete-data analysis on multiply imputed data set objects (lm.mids and glm.mids). I am trying to estimate a series of Cox PH regression models and cannot figure out the best way to do this. Is it possible with the mitools library?

Hi all, How can I calculate the mean from several imputed data sets with the package mice? I know you can estimate regression parameters with, for example, lm and subsequently pool those parameters to get a point estimate using functions included in mice. But if I want to calculate the mean value of a variable over my multiple imputed data sets with fit <- with(data=imp, expr=mean(y)) and

I'm trying to use either mice or norm to perform multiple imputation to fill in some missing values in my data. The data has some missing values because of a chemical detection limit (so they are left censored). I'd like to use MI because I have several variables that are highly correlated. In SAS's proc MI, there is an option with which you can limit the imputed values that are