Displaying 20 results from an estimated 800 matches similar to: "Probability weights with density estimation"
2012 Aug 10
1
Direct Method Age-Adjustment to Complex Survey Data
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
2007 Nov 08
2
centile reference chart / clildren growth chart - what package/method to use
We are constructing growth charts (age/weight and age/length) for children
with diagnosis that impacts weight/length.
But we we don't know how to use R for producing growth charts.
We are collection data of Age, Weight and Length.
The data are used to produce diagnosis-specific Growth charts (like the CDC
Growth Charts:
2018 Apr 14
1
Fwd: Re: Reading xpt files into R
> On Apr 14, 2018, at 12:18 PM, WRAY NICHOLAS via R-help <r-help at r-project.org> wrote:
>
>
> -------- Original Message ----------
> From: WRAY NICHOLAS <nicholas.wray at ntlworld.com>
> To: peter dalgaard <pdalgd at gmail.com>
> Date: 14 April 2018 at 20:18
> Subject: Re: [R] Reading xpt files into R
>
>
> Well yesterday I'd downloaded
2009 Apr 09
3
Multiple Hexbinplots in 2 columns with a Single Categorical Variable
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
2009 Nov 22
2
how to read BRFSS file
hello,
I am trying to do exploratory factor analysis with BRFSS dataset (
http://www.cdc.gov/brfss/technical_infodata/surveydata/2008.htm) for a
couple of days, but I was not able to do that and got frustrated. Can
anybody help me with step by step guide? BRFSS dataset provides ASCII or SAS
format.
Thank you.
chloe
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2013 May 06
3
[LLVMdev] Do we abuse the "nsw" flag
Hi, There:
Clang fails to compile 254.gap @ CPU2000int suite. The symptom is
that executable fail to run
with reference input.
The root cause is that the compiler mistakenly optimizes expr "x * y
/ y" into x where the x*y is blindly
flagged with nsw without any analysis.
The preproceeded code is excerpted bellow:
cat -n integer.i
---------------------------------
2361
2013 May 06
0
[LLVMdev] Do we abuse the "nsw" flag
This has come up before, and we just added -fwrapv to work around the problem:
http://lists.cs.uiuc.edu/pipermail/llvm-commits/Week-of-Mon-20110131/115969.html
Are you compiling without -fwrapv?
Cameron
On May 6, 2013, at 4:55 PM, Shuxin Yang <shuxin.llvm at gmail.com> wrote:
> Hi, There:
>
> Clang fails to compile 254.gap @ CPU2000int suite. The symptom is that executable
2008 Jul 03
3
Active-HDL
Hey!
I was wondering if active-HDL (VHDL simulator) will work with WINE 1.0?
active-HDL (i regret to say) is only for windows.... :(
Thanks :)
2009 Jul 17
2
Fisher's exact test
Hi,
I'm trying to run Fisher's Exact test on the data below, but I'm not
sure how interpret the data shown. Can someone tell me what this is
saying? Looking at the numbers it should be that there's no significant
difference between the HDL and LDL, but a p-value of 1 seems high. Is
the low value in the LDL unbound making the test unstable and should I
be using an alternative?
Best
2008 Aug 20
2
Quantile regression with complex survey data
Dear there,
I am working on the NHANES survey data, and want to apply quantile
regression on these complex survey data. Does anyone know how to do
this?
Thank you in advance,
Yiling Cheng
Yiling J. Cheng MD, PhD
Epidemiologist
CoCHP, Division of Diabetes Translation
Centers for Disease Control and Prevention
4770 Buford Highway, N.E. Mailstop K-10
Atlanta, GA 30341
[[alternative HTML
2010 Sep 17
3
Combining Data Sets w/ Weights
Hello All,
I am still a beginner with R, and I only have a week or two under my belt so
far.
I'm working with NHANES anthropometric data on stature. I have two sets of
data that have different statistical weights. I'm trying to combine those
two data sets into one "mega-set" while retaining each data point's
individual weight.
If you have any idea as to how this is
2018 Apr 14
0
Fwd: Re: Reading xpt files into R
-------- Original Message ----------
From: WRAY NICHOLAS <nicholas.wray at ntlworld.com>
To: peter dalgaard <pdalgd at gmail.com>
Date: 14 April 2018 at 20:18
Subject: Re: [R] Reading xpt files into R
Well yesterday I'd downloaded the "foreign" package and tried to open the xpt file using that:
library(foreign)
read.xport("test.xpt")
I got the following
2007 Aug 28
1
HDL F10 brazilian doorbell device + TDM2400
Hi,
I'm trying to connect an HDL F10 device for a friend living in Brazil to
the TDM2400 on his Asterisk server.
That device should behave like a normal doorbell and it is if connected
to an analog PBX.
I connected to the TDM2400 and everything works fine except for one
thing: when the called party hangs up his phone, the F10 HDL device does
not hang up.
I'm not brazilian and not
2010 Dec 06
3
How to this SAS transport file in R?
Dear All,
I try to read the SAS transport file in R, but it shows error. Please help!
I am using R 2.11.1
library(foreign)
download.file("http://isites.harvard.edu/fs/docs/icb.topic35387.files/demo_c.xpt","C:/Desktop/demo_c.xpt")
sasxport <- read.xport("C:/Desktop/demo_c.xpt")
Error in lookup.xport(file) : file not in SAS transfer format
--
View this
2018 Apr 13
0
Reading xpt files into R
> On Apr 13, 2018, at 10:01 AM, WRAY NICHOLAS via R-help <r-help at r-project.org> wrote:
>
> Hello R folk
>
> I have an xpt file which I have been trying to open into R in R studio
>
> On the net I found guidance which says that I need packages Hmisc and SASxport which I have successfully loaded.
>
> I had also found some code which says that this would allow
2012 Jun 09
1
combining different types of graphics (scatterplots, boxplots) using lattice
Dear R users:
I have a continuous outcome variable and four predictors, two continuous and
two dichotomous. i would like to use the lattice plot to create scatter
plots for the continuous predictors and boxplots for the dichotomous
predictors.
with 4 continuous variables, this is what i have been doing:
trial = rbind (
cbind ( cimt$ant.mean, cimt$age, 1 ),
cbind ( cimt$ant.mean, cimt$sbp, 2 ),
2018 Apr 13
5
Reading xpt files into R
Hello R folk
I have an xpt file which I have been trying to open into R in R studio
On the net I found guidance which says that I need packages Hmisc and SASxport which I have successfully loaded.
I had also found some code which says that this would allow me to read the xpt file into R:
library(SASxport)
data(Alfalfa)
lookup.xport("test.xpt")
2010 Feb 04
5
Reading sas7bdat files directly
Hi, I have a need to process (in real-time) a large number of .sas7bdat files from within R. The problem is I don't want to convert these files to .xpt (transport) every time. So just checking if anyone has a (viable) way to read .sas7bdat files directly into R?
Thank You.
//----------------------------------
// Alex Bryant
// Software Developer
// Integrated Clinical systems
//
2013 Aug 30
0
[LLVMdev] Reflexions about a new HDL language
If you're designing a new high-level HDL, then it would be a good idea to familiarise yourself with the state of the art in this area (e.g. Bluespec System Verilog, Symbolics Processor Designer, and similar tools). Starting from comparisons to VHDL and Verilog is like designing a new high-level programming language today that is designed to be a better high-level programming language that is
2010 Sep 23
1
How to pass a model formula as argument to with.mids
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