search for: assessment

Dear Sir, dear Madam, I am currently working with the European Commission on a pilot assessment of Video Codecs in eGovernment, more precisely for live video streaming of parliamentary sessions. The results of the analysis will be published for public consultation on IDABC <http://ec.europa.eu/idabc/en/home> website. The following video codecs are on the list: H.264/AVC, VC-1, Real...

Hello R help, I have a question similar to what is posted by someone before. my problem is that Instead of last assessment, I want to choose last two. I have a data set with several time assessments for each participant. I want to select the last assessment for each participant. My dataset looks like this: ID week outcome 1 2 14 1 4 28 1 6 42 4 2 14 4 6 46 4 9 64 4 9 71 4 12 85 9 2...

Hi, using polynomial contrasts for the ordered factors in an experiment leads to much nicer covariance structure than using treatment contrasts. It is easy to assess the mean effect for each of the experimental groups. However, standard errors are provided only for the components of the orthogonal contrasts. I wonder how to assess the standard errors not of the components, but of the respective

Looking to change a yml file (yaml is a database type file) *** from ?--- !ruby/object:Right attributes: name: Personnel Admin action: index id: "1" controller: assessments --- !ruby/object:Right attributes: name: Personnel Admin action: find id: "2" controller: assessments *** to ?--- !ruby/object:Right attributes_1: name: Personnel Admin action: index id: "1" controller: assessments --- !ruby/object:Right attributes_2: n...

Hi, As part of an R code assingment I have been asked to find a quantitative procedure for assessing whether or not the data are normal? I have previously used the graphical procedure using the qqnorm command. Any help/tips would be greatly appreciated as to how I should start going about this! Henry _________________________________________________________________

Dear R users, Recent changes to the MuMIn package now means that the model averaging command (model.avg) no longer returns confidence intervals, but instead returns zvalues and corresponding pvalues for fixed effects included in models. Previously I have used this package for model selection/averaging following Greuber et al (2011) where it suggests that one should use confidence intervals from

I am trying to trouble shoot one of my ISP's network and compare to my other ISPs offering. Although network 1 is reasonably fast and has low enough latency, voice quality is not good and the reason for this is not readily apparent using standard network tools. What tools can be used to assess the quality of the network in terms of it's suitability for voice? I am using ping, mtr,

Dear R-Helpers Has anyone written a script for the dose proportionality assessement using the power model and the confidence interval criteria as described in - Gough at al. Assessment of dose proportionality: report from the statisticians in the pharmaceutical industry in Drug Information Journal,1995, 29:1039-1048 and/or - Smith et al. Confidence interval criteria for assessment of dose proportionality in Pharmaceutical Research, 2000, 20:1278-1283 As an aside, and before...

I am going to be developing a Risk Assessment system for a secure environment whose database will double as an asset management system. Or at least the Risk Assessment stuff will be an outcropping of the asset management system. Has anyone had any experience with this or a similar project? This is my first attempt at a Rails project after sp...

I am in a situation where I have to fit a distrution, such as cauchy or normal, to an empirical dataset. Well and good, that is easy. But I wanted to assess just how good the fit is, using ks.test. I am concerned about the following note in the docs (about the example provided): "Note that the distribution theory is not valid here as we have estimated the parameters of the normal

...ake a working example for the list. I hope someone out there have some experience with plotting longitudinal data that they will share. My data is some patient data with three different time stamps. First the patients are identified at different times (first time stamp). Second, they go through an assessment phase and begin their treatment (time stamp 2). Finally they are admitted from the hospital at some point (time stamp 3), I would like to make a spaghetti plot with the assessment phase in one color and the treatment phase in another color. I used ggplot2, and with this example data and only two...

...rking with this important topic named as: "Life Cycle Assesment", monitoring carbon emition,  but as many of you may know, commercial softwares controlling or managing our planet could be another big mistake. To sum up briefly, it could be a good idea creating a R package doing Life Cycle Assessment (if has not being created) in order to gain a better understanding and making these important decisions about global warming and how can we as humanity control how Carbon Footprint is measured by commercial or not commercial propouses. Who knows if there's people working in Life Cycle Assesment...

I am analyzing a 1-to-2 matched case-control study using clogit in the survival package. I am interested in comparing and assessing fit of non-nested models. I don't want to program all the diagnostics described in Hosmer/Lemeshow (2000). Can someone proficient with clogit and assessing fit for non-nested models point me in the right direction. Many thanks! Tomas Tomas Aragon, MD, DrPH Tel:

Hi, I'd like to know whether R is capable to assess parameters in a model describing the kinetic of a pollutant adsorption onto activated carbon. A common relation is for instance the Adam-Bohart-Thomas' one: dx/dt = K1 * (qm-x)*C - K2x where {K1,K2} are the unknown paramters and {qm,C} are known parameters Of course I get experimental data sets of measured x as a function of time.

Hello! I am trying to model data on species abundance (count data) with a poisson error distribution. I have a fixed and a random variables and thus needs a mixed model. I strongly doubt that my model is overdispersed but I don't know how to get the overdispersion parameter in a mixed model. Maybe someone can help me on this point. Secondly, it seems that quasi models cannot be implemented

Dear List, I am (again) looking at meta-regression as a way to refine meta-analytic results. What I want to do is to assess the impact of some fixed factors on the results of a meta-analysis. Some of them may be crossed with the main factor of the meta-analysis (e. g. clinical presentation of a disease, defining subgroups in each of the studies under analysis), some of them may be a grouping

...for each study and to pool them using inverse variance as weights (that's what meta.DSL and meta.MH do, respectively for random and fixed effect model). However, in some trials, some event have a frequency of zero in one or both groups. In the first case, one can neglect the said trial for the assessment of the treatment effect, on the basis that it is not informative. In the second case, however, the data cannot be used (because the OR is either zero or infinite, with infine asymptotic variance). The treatment assessment by OR pooling dismisses these trials (see meta.DSL source, for example ; and...

Hi Folks, Hopefully this question has enough R and not too much stats to be appropriate for this list. Based on,* Hosmer et al. 2013. Logistic regression for matched case-control studies. Applied Logistic Regression *(eqtn. 7.8)*, *I am assessing GOF of conditional (or matched) logistic regression models with the *standardized Pearson residuals*. The authors define ?large? as delta chi-squared

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...our interpolation filter? I don't see why that is an issue. At the echo cancellation point it just looks like a bit more echo delay. I also don't know why you use the word jitter in relation to interpolation. The jitter you have is in the reception time of blocks of samples, which makes the assessment of sampling rates hard, but doesn't affect the actual interpolation. We are talking about two clocks, which are not synchronised, and which may drift in frequency significantly over fairly short periods of time. The issue is accurately assessing the sampling rate difference, to phase locked le...