search for: paucity

...source; my web programming skills are basic (some hand edited static HTML pages), my C is very rusty (no C++), I have Ruby (not Ruby on Rails), I like the look of Python and have never liked perl. For long-term support we have several PHP people in the organisation (not on this project). Given the paucity of skills available for development, the Omega template option is attractive but I am concerned that it may not be a good choice long term. Extensive browsing of the mailing lists suggest that it is not a popular choice. This is further suggested by the lack of examples of Omega templates both in...

Hi R-Experts, Currently I'm using an univariate time series in which I'm going to apply KalmanLike(),KalmanForecast (),KalmanSmooth(), KalmanRun(). For I use it before makeARIMA () but I don't understand and i don't know to include the seasonal coefficients. Can anyone help me citing a suitable example? Thanks in advance. ------------------------------------------

...o give results. In R the flexibility of functions, and the sheer diversity of it can confuse and confound the SAS and SPSS programmer wanting to learn it. Note that most SAS and SPSS programmers are corporate users, thus they pay for licenses only by just signing the approved email, and they have a paucity of time. [image: R Book]<http://www.amazon.com/SAS-SPSS-Users-Statistics-Computing/dp/0387094172/ref=pd_bbs_sr_1?ie=UTF8&s=books&qid=1217456813&sr=8-1> R Book The technical review- The book is lucid, exhaustive and lists down all reasons for and against R in an objectiv...

...Operational risk. For a given loss data, we try to fit some statistical distributions using Kolmogorov-Smirnov (KS) test and A-D test and then for fitted distribution using the estimated parameters, the losses are simulated and the VaR is arrived at. The typical problem faced by the banks is the paucity of Internal loss data and thus banks depend on the external loss data obtained from external sources. This external data is normally of higher magnitude than the internal loss data of the bank. Thus using regression technique, this external data is scaled and then the internal data and the scaled e...

...onality) have been established in other clinical populations: I'm studying a new disease group. I strongly suspect the problem relates to undesirable properties of the dataset: a significant missing data rate (about 20%) and a rather uneven distribution amongst the possible scores with relative paucity of 1 and 2 responses. I have in fact already deleted one item because of an "The following items do not have responses on each category" warning. I was trying to generate some diagnostics to get a better idea of what the problem(s) are, and/or adjust default parameters used in the nlm ca...

Hello. I have come across a curious result that I cannot explain. Hopefully, someone can explain this. I am doing a 1-way ANOVA with 6 groups (example: summary(aov(y~A)) with A having 6 levels). I get an F of 0.899 with 5 and 15 df (p=0.51). I then do the same analysis but using data only corresponding to groups 5 and 6. This is, of course, equivalent to a t-test. I now get an F of 142.3

For reasons which I'll spare you, I'm writing a program to analyse R source code. This has led me to probe some of the darker corners of R syntax to find out what is supposed to happen. Now, from reading the R documentation (and the New S book &c) I know perfectly well that f(a, b, etc) <- x is supposed to turn into a <- "f<-"(a, b, etc, value=x) Except,

I would like to get some idea of which R-packages are popular, and what R is used for in general. Are there any statistics available on which R packages are downloaded often, or is there something like a package-survey? Something similar to http://popcon.debian.org/ maybe? Any tips are welcome! ----- Jeroen Ooms * Dept. of Methodology and Statistics * Utrecht University Visit