similar to: generalized linear models

Hi All, How can I get the expected value from a discrete cdf? Is there any R function that can do this? Thanks, Annie [[alternative HTML version deleted]]

Hi, All, How can I get the indices of the minimum elements in a matrix without using a loop? For example, if the matrix is 4 5 2 2 8 9 5 2 3 Then I want to output (1,3), (2,1), (3,2). Thanks, Annie [[alternative HTML version deleted]]

Hi All, I have a 2-dim density defined on 0<x<1, 0<y<1, x<y. I know the exact formula of the density. How can I visualize it? What plot functions can I use? Thanks, Annie [[alternative HTML version deleted]]

There may be benefits to having a machine learning method that explicitly targets covariate balance. We have experimented with optimizing the weights directly to obtain the best covariate balance, but got some strange solutions for simple cases that made us wary of such methods. Machine learning methods that yield calibrated probability estimates should do well (e.g. those that optimize the

Hi All, I am making the switch to R and uncertain which of the several packages for mixed models is appropriate for my analysis. I am waiting for Pinheiro and Bates' book to arrive via inter-library loan, but it will be a week or more before it arrives. I am trying to fit a generalized linear mixed model of survival data (successes/trials) as a function of several categorical fixed and

Hi I'm trying to measure the effect of a policy intervention (Box and Tiao, 1975). This query has to do with the coding of the model rather than with the particulars of my dataset, so I'm not providing the actual dataset (or a simulated one) in this case, apart from some general description. The time series are of length n=34 (annual observations between 1977 and 2010). The policy

After experiencing these symptoms through many of the release candidates, we've been at v1.0.0 now for a few weeks, and they're still there. Perhaps a config issue with my setup (mbox locks?). It's really too disrupting to continue using this way. I've included symptoms, client info, mta info, log entries and config file. What other information can I provide? Please

Dear Sir, Very glad to send E-mali to you , Im Annie. I have encountered some problems on the way of learning opus, so I would like to consult you. I found "global_stack" was not released after malloc, and malloc memory was too large.So what I want to ask you is whether "global_stack" malloc can have less memory, since the value "GLOBAL_STACK_SIZE" can be

When counting required slots for skb, netback directly uses DIV_ROUND_UP to get slots required by header data. This is wrong when offset in the page of header data is not zero, and is also inconsistent with following calculation for required slot in netbk_gop_skb. In netbk_gop_skb, required slots are calculated based on offset and len in page of header data. It is possible that required slots

Hi, I'm having a problem accessing my samba server from Windows. The problem occurs every time I try to browse to it on either XP or 2003 Server. The error message I get is: "\\Zeus is not accessible. You might not have permission to use this network resource. Contact the administrator of this server to find out if you have access permissions. The account is not authorized to log in

Hi, R users, What may be the best function in R to do variable selection in logistic regression? I have the same number of variables as the number of samples, and I want to select the best variablesfor prediction. Is there any function doing forward selection followed by backward elimination in stepwise logistic regression? Thanks, Annie [[alternative HTML version deleted]]

Hi I am developing Window pv network driver and hit a problem now. My server use Xen 3.1.4 and have 2 physical CPUs. When I create two VM with 1 VCPU on a same server, iperf performance is OK between those two VM, but there is performance degradation between those 2 VM when i increase VCPU from 1 to 2. This problem occurs in QEMU mode too. Does Xen 3.1.4 has such problem or anything wrong

All I have been looking into the books on performing statistics in R, in particular I am interested in General Linear Mixed Models, for Randomized Complete Block Design Experiments The list I have come away with so far is: Mixed Effects Models in S and S-plus by Pinheiro (2002)

Dear R-Users, I have fitted a cross-classified generalized linear mixed model using the lmer package with the following code. Mod<-lmer(y~x+(1|a)+(1|b)+ (1|c), family=binomial) In this case, only including a covariate (x) as a fixed effect. The fitted values, using fitted(mod), correspond to the raw data nicely, and the mean of the fitted values is equal to the mean of the raw data. In

Hi, R users, Is there any package for penalized logistic regression with more than two response classes? I read the manual for stepPlr, but it seems it's only for binary case. Thank you, Annie [[alternative HTML version deleted]]

Hi, ALL, Is there any function in R that does the exact test for the matched pair proportions (one sided), which I assume is binomial(b+c, .5). Thanks, Annie [[alternative HTML version deleted]]

Hi In rtc_set_time, mktime is called to calculate seconds since 1970/01/01, input parameters of mktime are required to be in normal date format. Such as: year=1980, mon=12, day=31, hour=23, min=59, sec=59. However, the current input parameter of mktime is tm->tm_year, and it is the number of years since 1900. (For example, if current time is 2012/12/31, and tm->tm_year is 112). This is

Hello, I have compared the potentials of R and Stata about GLMM, analysing the dataset 'ohio' in the package 'faraway' (the same dataset is analysed with GEE in the book 'Extending the linear model with R' by Julian Faraway). Basically, I've tried the 2 commands 'glmmPQL' and 'glmer' of R and the command 'xtmelogit' of Stata. If I'm not

Hello, I apologize in advance if what I'm about to ask is trivial or has been answered before. In the latter case I would appreciate a pointer to the right list/location I'm trying to model the following experimental design with groupedData and lme in R: Subjects were measured on two tasks (continuous outcome variable is "Prob", tasks are coded as within-subjects factor

Hello, R friends... I am very new to R, and I need some help. I am trying to construct a simulation for my dissertation. I need to create 1000 datasets of 1000 subjects with the following variables... Treatment variable - Drawn from a binomial distribution (1 run, prob=.13) Covariate 1 - Drawn from a normal distribution (mean=100, sd=16) Covariate 2 - Drawn from a normal distribution