Displaying 20 results from an estimated 100 matches similar to: "selecting monotone pattern of missing data from a dataframe with mixed pattern of missingness"
2012 Nov 30
1
help on "stacking" matrices up
Dear All,
#I have the following code
Dose<-1000
Tinf <-0.5
INTERVAL <-8
TIME8 <-matrix(c((0*INTERVAL):(1*INTERVAL)))
TIME7 <-matrix(c((0*INTERVAL):(2*INTERVAL)))
TIME6 <-matrix(c((0*INTERVAL):(3*INTERVAL)))
TIME5 <-matrix(c((0*INTERVAL):(4*INTERVAL)))
TIME4 <-matrix(c((0*INTERVAL):(5*INTERVAL)))
TIME3 <-matrix(c((0*INTERVAL):(6*INTERVAL)))
TIME2
2007 Oct 18
1
programming question
hie
i'm tryimg to generate two survival data using the following code (I know its ugly ) but it seems to repeat two of the variables can any one tell me whats the porblem.
n=20
n1=n/2
n2=n/4
a11=1 ;a12=1.4 ;a21=16 ;a22=a12 * a21
t1<-array(1,c(n1))
t2<-array(2,c(n1))
treatgrp=matrix(c(t1,t2))
2007 Oct 29
3
using survfit
hie
when i use plot.survfit to plot more than one graph why I only see the last graph how do i see the other graphs.for example
n=20
n1=n/2
n2=n/4
a11=4;a12=4 ;a21=4 ;a22=4
t1<-array(1,c(n1))
t2<-array(2,c(n1))
treatgrp=matrix(c(t1,t2))
2007 Oct 19
0
calculating power of log rank test
hie
Im trying to calculate the power of the logrank test for different values of rho .I was just wandering whether the following programme would do it. any suggestions are welcome
s=50
number=1
count1=0;count2=0;count3=0;count4=0;count5=0;count6=0;count7=0;count7=0;
count8=0;count9=0
while(s!=0){
n=20
n1=n/2
2000 Nov 18
0
Problem linking libvorbisfile on Mac OS X
I'm working on getting the Darwin/Mac OS X port of Vorbis up and running again and have run into problems building libvorbisfile. I have installed the latest libtool (1.3.5) and modified it to handle Darwin/Mac OS X better (to create shared libraries, dylibs, that can be linked against other dylibs instead of creating bundles which cannot be used as input to the linker).
But, when it tries
2008 Feb 14
0
help in simplyfiying programme
my program given below can some one make it presentable. I trying to simulate survival data and calculate the power. I think i could have done better.
s=10
number=0
count1=0;count2=0;count3=0;count4=0;count5=0;count6=0;count7=0;count8=0;
count9=0;
count11=0;count22=0;count33=0;count44=0;count55=0;count66=0;count77=0;
count88=0;count99=0;
while(s!=0){
n=100
n1=n/2
n2=n/4
2002 Jul 03
1
CVS
'time0.c' has been missing from the current CVS for the past few days, so
the Vorbis Windows DLLs / Libs won't compile - here, anyway.
<p><p>J.
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2011 May 01
1
Mean/SD of Each Position in Table
I have 100+ .csv files which have the basic format:
> test
X Substance1 Substance2 Substance3 Substance4 Substance5
1 Time1 10 0 0 0 0
2 Time2 9 5 0 0 0
3 Time3 8 10 1 0 0
4 Time4 7 20 2 1 0
5 Time5
2002 Jan 03
3
Adding RC3 support to GoldWave
Here are some minor things I noticed when updating the vorbis module
for GoldWave:
Bitwise.c, line 175 and 207
Warning: Negative unsigned value
ret=-1UL;
Info.c, line 385
Warning: Unreachable code
break;
vorbisfile.c, line 1407
Warning: Call to function with no prototype
int host_endian = host_is_big_endian();
fix: add 'void' to line 1339:
static int host_is_big_endian( void )
2001 Jan 22
1
prebeta4 compile error
I can successfully compile the libogg prebeta4 tarball, but when I try
to compile libvorbis I get
make[2]: Entering directory `/home/me/dl/libvorbis-1.0prebeta4/lib'
/bin/sh ../libtool --mode=link gcc -O20 -ffast-math -mno-ieee-fp
-D_REENTRANT -fsigned-char -DUSE_MEMORY_H -o libvorbis.la -rpath
/usr/local/lib -version-info 0:1:1 mdct.lo smallft.lo block.lo
envelope.lo window.lo lsp.lo
2019 Oct 01
0
Is missingness always passed on?
Le 30/09/2019 ? 16:17, Duncan Murdoch a ?crit?:
>
> There's a StackOverflow question
> https://stackoverflow.com/q/22024082/2554330 that references this text
> from ?missing:
>
> "Currently missing can only be used in the immediate body of the
> function that defines the argument, not in the body of a nested
> function or a local call. This may change in the
2019 Oct 01
0
Is missingness always passed on?
There is "missing with default" and "missing without default".
If an argument x is missing without a default, then missing(x) is true, if
you pass x to another function, it will pass the value of the "missing
argument". (which is different than simply being missing!)
If an argument x is missing _with_a default, then missing(x) is still true,
but if you pass x to
2009 Feb 09
0
Generating missingness on SNP data
Dear all,
I generated a dataset with 500 unrelated individuals and 10 biallelic
SNPs. From this dataset,I would like to create data with 5% missingness on
genotype information at random and also data with 5% genotyping error.
Can someone help me with how I can do it.
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2009 Jun 17
1
how to interpolate time series data with missingness
Hi all,
I have a vector, most of which is missing. The data is always
increasing, but may do so in jumps. I would like to interpolate the
NAs with 'best guesses', using something like filter(), which doesn't
work due to the NAs. Here is an example:
> x <- c(2,3,NA,NA,NA,3.2,3.5,NA,NA,6,NA)
> x
[1] 2.0 3.0 NA NA NA 3.2 3.5 NA NA 6.0 NA
I would like a function that
2010 Feb 09
1
"1 observation deleted due to missingness" from summary() on the result of aov()
I have the R code at the end. The last command gives me "1 observation
deleted due to missingness". I don't understand what this error
message. Could somebody help me understand it and how to fix the
problem?
> summary(afit)
Df Sum Sq Mean Sq F value Pr(>F)
A 2 0.328 0.16382 0.1899 0.82727
B 3 2.882 0.96057 1.1136 0.34644
C
2010 Feb 28
1
"Types" of missingness
Dear R-List,
My questions concerns missing values. Specifically, is is possible to
use different "types" of missingness in a dataset and not a
one-size-fits-all NA?
For example, data may be missing because of an outright refusal by a
respondent to answer a question, or because she didn't know an answer,
or because the item simply did not apply. In later analysis it is
sometimes
2012 Sep 17
2
Creating missingness in repeated measurement data
Dear R users,
I have the following problems. My dataset (dat) is as follows:
a <- c(1,2,3)
id <- rep(a, c(3,2,3))
stat <- c(1,1,0,1,0,1,1,1)
g <- c(0,0,0,0,0,0,1,0)
stop <- c(1,2,4,2,4,1,1.5,3)
dat <- data.frame(id,stat,g,stop)
I want to creat a new dataset (dat2) with missing values
such that when either g = =1 or stat = =0, the remaining rows for an
individual subject
2007 Sep 24
0
Need help to create a monotone missing data pattern
Hi
I've simulated multivariate longitudinal. The data is a mixture of conitnous
and categorical data. I've stored it in matrix form with the time dependent
variables as colons. Now I want to create a monote missing data pattern
starting of with MCAR-missingnes and different proportions of
missingdata and then refine the function to handle MAR and NMAR. Is there
anybody that could help or
2007 Sep 05
1
Monotone splines
Hello, i have a little problem with R and i hope you can help me.
I want to use splines to estimate a function but i want to force the interpolation to be monotone. Is this possible with R ?
Thank you,
Rémi.
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2009 Aug 24
0
Monotone Smoothing specifically I splines
Hello
I am looking for a function to create an Integrated (I) spline basis,
somehting similar to the likes of 'bs' and 'ns'. I have come across the
funcitons,
fda::eval.monfd Values of a Monotone Functional Data
Object
fda::/.fd FDA internal functions
fda::monfn Evaluates a monotone function
fda::smooth.monotone
Monotone