similar to: Little's Chi Square test for MCAR?

Is there any further development in R to identify the missing data Mechanism? Would you please help ? ======= Please find our Email Disclaimer here-->: http://www.ukzn.ac.za/disclaimer ======= [[alternative HTML version deleted]]

I'm relatively new to R, and not particularly adept yet, but I was wondering if there was a simply way to simulate missing data that are MAR, MNAR and MCAR. I've got a good work-around for the MCAR data, but it's sort of hard to work with. Josh [[alternative HTML version deleted]]

L.S., Does anyone know if there is an R library which implements Little's MCAR test for completely at random missing values? It is implemented in SPSS and SAS, and widely mentioned in the literature. Thanks in advance! Sander van Kuijk -- View this message in context: http://r.789695.n4.nabble.com/Little-s-MCAR-test-tp2331137p2331137.html Sent from the R help mailing list archive at

Dear all I want to create dataset with MCAR type from my dataset. I have my dataset with 100 records, and I want to create dataset from this dataset to missing 5 records. How I can do it. THX Jumlong -- Jumlong Vongprasert Institute of Research and Development Ubon Ratchathani Rajabhat University Ubon Ratchathani THAILAND 34000 [[alternative HTML version deleted]]

Hi there, I have subscribed to R-help but am not sure how to view or post questions? I think this is the right way. I am planning on doing a multivariate regression investigating the relationship between depression (a continuous variable) and social support variables (mostly continuous, some categorical) among older people. I have a number of demographic and health-related variables that I am

Hi, I want to impute the missing values in my data set multiple times, and then combine the results (like multiple imputation, but manually) to get a mean of the parameter(s) from the multiple imputations. Does anyone know how to do this? I have the following script: y1 <- rnorm(20,0,3) y2 <- rnorm(20,3,3) y3 <- rnorm(20,3,3) y4 <- rnorm(20,6,3) y <- c(y1,y2,y3,y4) x1 <-

Hello!   I would like to sample 30 % of cases (with at least 1 value lower than 3) and among them I want to set all values lower than 3 (within selected cases) as NA (NMAR- Not missing at random). I managed to sample cases, but I don’t know how to set values (lower than 3) as NA.   R code:   x <-

Dear all, I am trying to use the GEE methodology to fit a trend for the number of butterflies observed at several sites. In total, there are 66 sites, and 19 years for which observations might be available. However, only 326 observations are available (instead of 1254). For the time being, I ignore the large number of missing values, and the fact that GEE is only valid under MCAR. When I run the

I have a data matrix X (n x k, say) each row of which constitutes an observation of a k-dimensional random variable which I am willing, if not happy, to assume to be Gaussian, with mean ``mu'' and covariance matrix ``Sigma''. Distinct rows of X may be assumed to correspond to independent realizations of this random variable. Most rows of X (all but 240 out of 6000+ rows)

Thanks Martin for help. I will give it a shot. Regards Rohit Singh On Thu, 6 Dec 2018 at 2:55 PM, Martin Kletzander <mkletzan@redhat.com> wrote: > On Wed, Dec 05, 2018 at 09:44:17PM +0530, ROHIT SINGH wrote: > >Hi Martin, > > > >Could you please help me with below issue, I am not sure what’s wrong > here. > >Please find below code and error snippet. > >

Hi Martin, Could you please help me with below issue, I am not sure what’s wrong here. Please find below code and error snippet. Thanks for help. Code Snippet: - from __future__ import print_function import sys import libvirt SASL_USER = <username> SASL_PASS = <password> def request_cred(credentials, user_data): for credential in credentials: if credential[0] ==

On Wed, Nov 28, 2018 at 10:24:55PM +0530, ROHIT SINGH wrote: >Hi Martin, > >Could you please point me to any example codes in python present for esx? >Suppose, I have to power off and power on esx virtual machine, can i get >this code somewhere on python to develop some understanding. > https://www.mail-archive.com/libvir-list@redhat.com/msg17903.html >Actually, I am not

On Wed, Dec 12, 2018 at 03:03:41PM +0530, ROHIT SINGH wrote: >Thanks Martin, It’s working now. >Could you please help me with role of xml in libvirt api and what if I >don’t want use of xml in my code. >Please let me know. > Libvirt uses XML for most of the APIs. Depends what you need to do you can transform it with xmltodict or use some higher level API. I'm not sure I can

Thanks, I'll check it out. On Wed, 28 Nov 2018 at 9:31 PM, Martin Kletzander <mkletzan@redhat.com> wrote: > On Mon, Nov 26, 2018 at 04:11:20PM +0530, ROHIT SINGH wrote: > >Hi, > > > >I am doing poc for using libvirt api for implementation of esx in python. > > > >I tried researching through module but did not find a way how it works for > >esx.

Hi all, I have uploaded the printer drivers succesfully on RedHat Linux/ Samba 2.2.4 server. I can download and print without any problems. But when I do Windows API call GetPrinter with PRINTER_INFO_2, the devmode in printer_info is always null. My code looks like HANDLE hPrinter=NULL; PRINTER_DEFAULTS pDefaults; pDefaults.DesiredAccess = PRINTER_ACCESS_USE;

I have a dataframe say: date price_g price_s 0.34 0.56 0.36 0.76 . . . . . . and so on. say, 1000 rows. Is it possible to add two columns to this dataframe, by computing say diff(log(price_g) and diff(log(price_s)) ? The elements in the first row of these columns cannot be computed, but

*** BLURB HERE *** Bean Huo (5): fs/buffer: clean up block_commit_write fs/buffer.c: convert block_commit_write to return void ext4: No need to check return value of block_commit_write() fs/ocfs2: No need to check return value of block_commit_write() udf: No need to check return value of block_commit_write() fs/buffer.c | 24 +++++++-----------------

Hello, In a way similar to speexclient voip example, I want to have a voip application where 3 or more users can interact. This creates the following problems "1. How to playback 2 or more audio streams such that they appear overlayed (parallel)". The audio streams are speex encoded. I have few approaches in mind. 1. Create multiple decoder states and multiple ALSA audio playback

Hi, I have been using R for close to two years now and have grown quite comfortable with the language. I am presently trying to implement an optimization routine in R (Newton Rhapson). I have some R functions that calculate the gradient and hessian (pre requisite matrices) fairly efficiently. Now, I have to call this function iteratively until some convergance criterion is reached. I think the

Hi Matt, All, Thanks for looking into this and your suggestions. I compiled the program with -O3 optimization level (clang -O3) on X86_64 target. After your suggestion, i ran the program with iteration of 10000 runs and found that average runtimes are (attaching data collected as well) Forward loop traverse : 2.006 milli seconds Reverse loop traverse : 1.531 milli seconds Yes, i agree that