search for: svy

I am trying to use the reshape package for the first time. I have two waves of a survey, so the id variables include a subject identification number and a variable denoting the wave of the survey. I used the following arguments: library(reshape) svy.melt <- melt(svy, id=c("id", "WAVE")) svy.wide <- cast(svy.melt, id ~ WAVE + ...) and got the following error: "Error in check_formula(formula, varnames) : Formula contains variables not in list of known variables" I check to make sure variable name is righ...

I have two waves of a survey given to students at various middle schools and high schools, with student id numbers for each student. I am having difficulty reshaping the file from long to wide. My code is below: library(foreign) svy <- read.spss("studsur4.SAV") svy.wide <- reshape(svy, timevar="WAVE", idvar="id", direction="wide") "id" is the student identification number, and "WAVE" takes values 1 and 2. I get the following error: Error in data[, timevar]...

¡Muchas gracias Olivier! Un saludo. El 16 de abril de 2015, 10:44, Olivier Nuñez <onunez en unex.es> escribió: > Mira el paquete survey. > Un saludo. Olivier > > ----- Mensaje original ----- > De: "Víctor Nalda Castellet" <victor.nalda.castellet en gmail.com> > Para: "r-help-es" <r-help-es en r-project.org> > Enviados: Miércoles, 15 de

...d,yrs_at_risk=listt) # running a frequency weighted regression to get the correct point estimates for comparison glm <- glm(deaths ~ country + offset(log(yrs_at_risk)), weights=weight, data=country, family=poisson()) summary(glm) regTermTest(glm, ~ country) # running survey weighted regression svy <- svydesign(~0,,data=country, weight=~weight) svyglm <- svyglm(deaths ~ country + offset(log(yrs_at_risk)), design=svy, data=country, family=poisson()) summary(svyglm) # point estimates are correct, but standard error is way too large regTermTest(svyglm, ~ country) # test indicates no countr...

...t;45 +")), satisfy) pop.gender <- data.frame(Gender = c("M", "F"), Freq = c(3800, 6200)) pop.age <- data.frame(Age = c("<30", "30-44", "45+"), Freq = c(2000, 5000, 3000)) library(survey) emp.svy <- svydesign(ids = ~0, strata = NULL, weights = ~rep(50, 200), data = emp.dat) rake.svy <- rake(emp.svy, list(~Gender, ~Age), list(pop.gender, pop.age)) cal.svy <- calibrate(emp.svy, formula = list(~Gender, ~Age), population =...

[url]http://svy.mk/g7RhjY Please take 10 minutes to complete this wine survey. Your feedback will inform a Columbia University graduate student's thesis project for boxed wine. Your answers will be completely anonymous.If you would like to be entered into a prize draw for a $50 Amazon gift card, please pr...

Hi Quentin, I have tried to find a test case for an official target, but failed. It seems to be a rare case. To do it, I added the 'else' clause in the following: ... if (VNI->def == OrigVNI->def) { DEBUG(dbgs() << "orig phi value\n"); SVI->second.DefByOrigPHI = true; SVI->second.AllDefsAreReloads = false; propagateSiblingValue(SVI); continue;

...n the original request. Not to mention I couldn't cut and paste yesterday because I was working R off a non-network computer while asking for help on a network computer. Essentially, I have this user-defined function: test <- function(X){ chisq <- svychisq(~X + SEX, design=audit, statisic="adjWald", round=4) } test(con) "con" is a data variable in my design object audit. When I just run: chisq <- svychisq(~X + SEX, design=audit, statisic="adjWald", round=4) It works just fine. It's only when it...

Hello forum, I want to find in survey how to test V-cramer and coefficient Goodman-Kruskal gamma, to test the collinearity between varibles to enter a model. For the V-Cramer function is used with the package vcd assocstats but without considering the survey package. I appreciate the cooperation. Att. Diana Martinez [[alternative HTML version deleted]]

...eking a way to get the variance inflation factor VIF for a model of regression in complex survey, I have understood that without this package (SURVEY) RGui VIF obtained as follows: fit <- lm(mpg~disp+hp+wt+drat, data=mtcars) vif(fit) But I want to know if survey, Vif is obtained so vif( svyglm(api00~ell+meals+mobility, design=dstrat)) Thank you, happy day [[alternative HTML version deleted]]

Dear all, I am looking for an equivalent of the pairwise.t.test() function using a complex survey design. Any suggestions on this or how to account for weights using the pairwise.t.test itself? Thanks, V [[alternative HTML version deleted]]

Hello, excuse me if this is trivial. I have some survey data with the following design MyDesign<-(id=ident, weights=~fwgt, fcp=~nval1+nval2, data=hh_data1) I would like to run simple frequency tables such as those provided by the freq() function of rgrs to check the impact of the sampling design on my Ns. Anyway I can do this? thanks, V [[alternative HTML version deleted]]

>> -----Original Message----- >> From: CentOS [mailto:centos-bounces at centos.org] On Behalf Of Rich Greenwood >> Sent: Monday, 18 May, 2020 08:34 >> To: centos at centos.org >> Subject: Re: [CentOS] ether-wake >> >> Some switch hardware can generate the packets directly, negating the need >> for a box on every VLAN. Meraki hardware can do it, but

Hi Jonas, Thanks for your patience. After spending some time looking at the additional output you gave me, I agree that your fix is the right one. I was worried that this problem may arise because we were spilling not real user, but in fact what I thought was the problem is an optimization we could do :). See my comments inlined for a few nitpicks before you commit. Thanks again, -Quentin On

Hi Quentin, I have rerun the test case on a recent commit, so the numbers have changed. There are also now a few more basic blocks very small basic blocks in the function, and therefore there are some slight differences. I tried to go back to earlier commits, without success for some reason... This is however very similar, except that there becomes two COPYs back to sibling value after the loop.

...implement this in R? I tried the weights option in glm(), but I think that is meant for when you have one row in your data for multiple observations, not for this kind of weight. Although I have the McCullagh and Nelder book explaining in detail how glm() operates, I cannot find a similar book for svyglm(). Is svyglm() better for this type of weighting? 3) Where would I find a good source describing the estimation procedure, including weighting, applied in svyglm()? Thanks in advance for any help! Jos -- Johan A. Elkink Lecturer in Social Science Research Methods School of Politics and Inte...

Some switch hardware can generate the packets directly, negating the need for a box on every VLAN. Meraki hardware can do it, but you have to go through the dashboard so automating it isn't currently possible. Here is some documentation on forwarding WoL on catalyst 3750 switches from Cisco:

From: Yang Zhang <yang.z.zhang@Intel.com> The following patches fix the issue that fail to boot L2 guest on APIC-v available machine. The main problem is that with APIC-v, virtual interrupt inject L1 is totally through APIC-v. But if virtual interrupt is arrived when L2 is running, L1 will detect interrupt through vmexit with reason external interrupt. If this happens, we should update

Hello. I read on page 4 of http://www.cs.fsu.edu/~whalley/cda5155/chap4.pdf that gather and scatter operations exist for Mips, named LVI and SVI, respectively. Did anyone think of implementing in the LLVM Mips back end (part of the MSA vector instructions) gather and scatter operations? If so, can you share with me the TableGen spec? (I tried to start from LD_DESC_BASE, but it

Hi, I have encountered a test case where InlineSpiller generates bad code. A register is reloaded but never spilled, and I suspect a bug in InlineSpiller. A register is live over a loop that also have two inner loops. It is not used or defined over the inner loops. It is split into two sibling registers, where one covers just the inner loops interval, which is then spilled. In spill(),