similar to: Help with time series

Hi, is there a way to analyze subpopulations (e.g. women over 50, those who answered "yes" to a particular question) in a survey using Survey package? Other packages (e.g. Stata, SUDAAN) do this with a subpopulation option to identify the subpopulation for which the analysis shoud be done. I did not see this option in the Survey package. Is there another way to do this?

Dear members of the R help list, I want to do a hierarchical glm with binomial family but am unsure about how to write the syntax which involves nesting. I want to test whether the risk of being attacked by Herbivores for Meadowsweet plants is significantly dependent on the Distance to heterospecific source plants. Dependent variable = Herbivory (yes/no) Explanatory continuous variable =

Hi, i read something about MECOSA3 (G.Arminger) which is a software to : "Analysis of finite mixtures of conditional Lisrel models" I'm very interested to identify heterogeneous subpopulations and ask me are similar functions doing something in R, too ??? I know SEM and perhaps with some additions/modifications it is possible doing this general mean- and covariance structures with

Dear Helpers   I have a sample frame and i have sampled from it using three methods and now i want to calculate the statistics but i only get the population parameters.   H <- matrix(rnorm(100, mean=50000, sd=5000)) sampleframe=data.frame(type=c(rep("H",100)),value=c(H)) sampleframe   str=strata(sampleframe,c("type"),size=c(20,), method="srswor")

Hi all, I have attached the function file (revisedfunction) and the list of station IDs (StationIDs) in .pdf format. I have written a function to perform various operations on the station IDs in two groups. The first 6 station IDs require one less step than the remaining 68 station IDs. The file referenced at the beginning of the function is the file containing the StationIDs. > file =

Dear List, This is just a programming problem which i cannot seem to figure out. I am trying to get a set of power from a test (say, kolmogorov smirnov) out of a distribution (say, G-K distribution) as follows. I am trying to reduce to pain of writing the whole set of data points (p# below) using "for" loop. However, I seem to have some problem in it as the output "M" does not

Let's assume that the columns of the model matrix, apart perhaps from an initial column that corresponds to the overall mean, have been centred. Then: 1) Normal equation methods give an accurate fit to the matrix of centred sums of squares and products. 2) QR methods give an accurate fit to the predicted values. QR will give better precision than normal equation methods (e.g., Cholesky) if

Hi all, This is a statistics question, I hope someone out there will be able to help me. I have one population (oligonucleotide probes spotted on a Nimblegen array). I measured "parameter one" (intensity after hybridisation) and I have selected a subpopulation of the initial (one tenth of the initial) according to a threshold value. I now measure "parameter two" of

Package: xen-hypervisor-3.0-unstable-1-amd64 Version: 3.0-unstable+hg11561-1 Severity: important The HVM domU won't start. The following is the config (comments stripped). --------------------begin-------------------- import os, re arch = os.uname()[4] if re.search('64', arch): arch_libdir = 'lib64' else: arch_libdir = 'lib' kernel =

Hello All, I want to schedule a mail every day. I used whenever gem. I added gem ''whenever'' in my gemfile. Then in the terminal I did - "whenever ." which created a schedule.rb. In schedule.rd I added this piece of code:- set :environment, "development" every 2.minutes do runner "UserMailer.some_method" end Does it get invoked

On Tue, Jan 22, 2013 at 6:22 PM, Robinson, Paul <Paul.Robinson at am.sony.com> wrote: > David Blaikie [dblaikie at gmail.com] wrote: >> On Tue, Jan 22, 2013 at 3:23 PM, Robinson, Paul >> <Paul.Robinson at am.sony.com> wrote: >>>>>> 2. Relying of assembly directive emissions (i.e. .cfi_*), which is >>>>>> cumbersome and misses a lot of

David Blaikie [dblaikie at gmail.com] wrote: > On Tue, Jan 22, 2013 at 3:23 PM, Robinson, Paul > <Paul.Robinson at am.sony.com> wrote: >>>>> 2. Relying of assembly directive emissions (i.e. .cfi_*), which is >>>>> cumbersome and misses a lot of things like actual DWARF encoding. >>>> >>>> I'm not sure what you mean by

Package: xen-hypervisor-3.0-unstable-1-amd64 Version: 3.0-unstable+hg11292-2 Severity: important My server is a dell 2950 server. Before the dom0 rebooting bug ocurred, xen was well even for hvm domU. By now i have tried xen-hypervisor-3.0-amd64 (3.0.2+hg9697-2) and xen-hypervisor-3.0-unstable-1-amd64 (3.0-unstable+hg11292-2), but both of them are unusable for me. for

When I drag n drop spam mail to SPAM folder, I get this error: Jun 11 17:58:46 sparrow dspam[28452]: Unable to open file for reading: /var/spool/dspam/data/local/mymail/mymail.sig/466d652f315451306914567.sig: No such file or directory mymail is user that runs dovecot transport (postfix config). The .sig file exist in

I have a question about princomp(mva) that I hope isn't too newbie. I used the sample data from Table 1.1 in "Manly (1986/1994) Multivariate Statistical Methods: a primer. Chapman and Hall" on sparrow body measurements. I rescaled the data to mean 0 and SD 1, and the covariance matrix is: V1 V2 V3 V4 V5 V1 1.0000000 0.7349642 0.6618119

I understand that the two following loops should produce the exact same output. However, they do not. It appears that looping directly through the sequence of Date objects somehow makes them be coerced to numeric: > date1 = "20130301" > date2 = "20130302" > > d1 = as.Date(date1, format="%Y%m%d", tz="GMT") > d2 = as.Date(date2,

On Tue, Jan 22, 2013 at 3:23 PM, Robinson, Paul <Paul.Robinson at am.sony.com> wrote: >>>> 2. Relying of assembly directive emissions (i.e. .cfi_*), which is >>>> cumbersome and misses a lot of things like actual DWARF encoding. >>> >>> I'm not sure what you mean by "actual DWARF encoding" here. >>> (disclaimer: I've only

Hi (R 2.13.1, OSX 10.6.8) I am trying to use predict.rma with continuous and categorical variables. The argument newmods in predict.rma seems to handle coviariates, but appears to falter on factors. While I realise that the coefficients for factors provide the answers, the goal is to eventually use predict.rma with ANCOVA type model with an interaction. Here is a self contained example

I am already using the unique in both servers, but both generate different id?s, but i am unable to get the original one from the gateway box to store it in the final CDR? -- Rui Mota Sent with Sparrow (http://www.sparrowmailapp.com/?sig) On Friday 26 June 2015 at 14:52, Tech Support wrote: > Check out the ?uniqueid? parameter in cdr.conf and cdr_adaptive_odbc.conf. > John V. >

Greetings, Launching the virt-manager yeilds following error Error polling connection 'qemu:///system': internal error Cannot find suitable emulator for x86_64 Traceback (most recent call last): File "/usr/share/virt-manager/virtManager/engine.py", line 440, in _tick conn.tick() File "/usr/share/virt-manager/virtManager/connection.py", line 1414, in tick