similar to: using lme and 'by' function to extract the co-efficients by individuals

Hi everyone I am trying to estimate the optimal hedge variance ratio for cross hedging two commodities. the price levels are used (compared to price change and % price change) and used the OLS with dummy variable for estimating the co-efficients. the equation looks like this Y = B + B1*D1 + B2*X + B3*(X*D1) Where Y = Daily Cash market price D1 = Dummy variable taking value 1 for period Oct-Mar

Dear Sirs, I would be interested to hear your views on whether SPEEX could be made to run fast on a DSPIC33 by the following strategy: Make iir_mem16() (for example) purely 16 bit by restricting the number of bits in the signal to say 10 using SATURATE and then making the LPC co-efficients just 6 bits. At present (with standard code) the encode function is taking about 140ms which is seven

HI all, I am trying to compute the EOF of a matrix using prcomp but unable to get the expansion co-efficients. is it possible using prcomp or are there any other methods thanks nuncio -- Nuncio.M Research Scientist National Center for Antarctic and Ocean research Head land Sada Vasco da Gamma Goa-403804 [[alternative HTML version deleted]]

Dear List, With regard to the question I previously raised, here is the result I obtained right now, brglm() does help, but there are two situations: 1) Classifiers with extremely high AIC (over 200), no perfect separation, coefficients converge. in this case, using brglm() does help! It stabilize the AIC, and the classification power is better. Code and output: (need to install package:

Hi, I am getting a warning message when I am fitting a generalized mixed model (mod_2) and I don't understand why because when I add just an interaction factor the model works perfectly (mod_1). Does anyone know what it happpens ? Thanks, Aïda   > mod_1<-lmer(sur15~soeviv15_4plus+frviv15_4plus+frat_15death+dad_class_new+soeviv15_4plus:dad_class_new +frviv15_4plus:dad_class_new+

hi, ?m studying moderated effects of percieved social support and justice world belief on relationship between stress coping strategies and depression level. ? haver never run this analysis before soi ? want to check my steps whether correct or not. first ? run regression in step 1 centered independent variables and centered moderators in step2 two way interactions instep 3 three way

I have a problem, would really appreciate if anyone could help me. I am trying to use bootstrap to resample a dataframe n then use that sample of dataframe to calcuate parameter estimates using betabinomial model. I am kind of lost coz the bootstrap function requires us to give statistic (A function which when applied to data returns a vector containing the statistic(s) of

Hi, is there an easy way to get the calculated weights in a regression equation? for e.g. if my model has 2 variables 1 and 2 with coefficient .05 and .6 how can I get the computed values for a test dataset for each coefficient? data var1,var2 10,100 so I want to get .5, 60 back in a vector. This is a one row example but I would want to get a matrix of multiplied out coefficients

My google search for Plackett's Algorithm didn't return too much except that Plackett's algorithm appears to be useful in Control Theory - it is elaborated as "Plackett's algorithm for on-line recursive least squares estimation". Sounds something like what I want. I am looking at developing a user modelling type app (new data points coming in and wanting to dynamically

Hi, I have to do a four point logistics for a dataset. All I have is the absorbance value for different proteins and need to get the four Point values. I have no idea where to start. Any suggestions would be much helpful. Thanks Ramya -- View this message in context: http://r.789695.n4.nabble.com/Four-paramete-logistics-tp3265251p3265251.html Sent from the R help mailing list archive at

Dear all, i'm trying to label specific individuals (supplementary ones) after a PCA with the FactoMiner package. There is not much details (possibilities?) in the R-help of the plot.pca function. There is indeed a "label" parameter but i could only manage to label the supplementary individuals with there "row.names" (i.e. label="indiv.sup") and not with the

Hi List, I’m using the vegan function specaccum to produce a rarefaction curve. In the function’s help it says: “Function ‘specaccum’ finds species accumulation curves or the number of species for a certain number of sampled sites or individuals”. Well, I would like to finds this curve for individuals, but when I compute it the function (using the ‘rarefaction’ method) gives me Sites, Richness

Hi, We have an experiment where individuals responses were measured over 5 days. Some responses were not obtained because we only allowed individuals to respond within a limited time-frame. These individuals are given the maximum response time as they did not respond, yet we feel they may have done if given time (and by looking at the rest of their responses over time, the non-response days stand

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Dear R experts, I'm using the adehabitatHR package in order to perform a kernel analysis and estimate the home range of my input data (GPS relocations of 42 individuals). I've done the analysis for one of the individuals and it worked perfectly (see code below). But now I'm trying to use a list and call the function lapply to do the same thing through all the 42 individuals (also see

Hi! Recently I've been working with the rest of the X.Org board to try to get X.org access to VESA memberships so that contributors that don't have an employer who is able/willing to join VESA can potentially get access to the various benefits of a VESA membership, such as access to DisplayPort specifications. Since I need to gather a list of interested X.org members, I'd like to know

Hi, I'm hoping that someone will be able to help. I would like to compare how covariates associate with the risk of a binary outcome during two periods. Period 1 will be non-exposure to a treatment and period 2 will be exposure to a treatment. The same individuals will be examined in each group but I want to be able to compare the association of certain covariates between the two groups to

Can someone help with a fairly simple task? I have a data set where I would like to insert a 0 time event between individuals: what I have: VAR DATE TIME CONC COVAR 1 NOV2 0.25 10 group1 1 NOV2 0.5 20 group1 1 NOV2 1 5 group1 1 NOV2 2 1 group1 1 NOV2 3 0.1 group1 2 NOV2 0.25 10

I''m trying to implement something in my app akin to 43things'' main page, where more active topics are bigger than the less active topics. The difference in my app is that I''m building a business-oriented app and want to have a list of clients, where clients with recent activity are larger than others. My perhaps too-clever way of going about this is by feeding each job

CRAN (and crantastic) updates this week New packages ------------ * apcluster (1.0.1) Ulrich Bodenhofer http://crantastic.org/packages/apcluster The apcluster package implements Frey's and Dueck's Affinity Propagation clustering in R. The algorithms are analogous to the Matlab code published by Frey and Dueck. * BioPhysConnectoR (1.6-1) Franziska Hoffgaard