search for: monographs

Hi, I have to search in an online db for registered manufacturers of raw materials. Can I use R for the following: I have a list with monograph numbers eg: l <- c(198, 731,355) Now I want to make a dataframe, containing the monograph number and the information listed under COS: Certificate holder, certificate number, Status, Type Is this possible with R? kind regards Bart -- View this

Dear all, my question might be a bit off-topic. Is there anything like a standard textbook on statistical programming? With that I don't mean anything like MASS, S Programming, Programming with Data, ... (no offense meant, they are fantastic books and each of those three helped me a great deal). Rather in the direction of the "Numerical Recipes" Series addressing how to implement

...#39;t it be more appropriate to use "at least one pair of means does not follow the alternative hypothesis order", or to use this latter hypothesis as the alternative and A<B=C<D as the null? If R packages are not found for my purpose, can somebody please point me to some recent monographs on order-restricted inference? Thank you, Bruno

To understand some functions about spatial point patterns in "spatstat" ,I should know some background about it, and the best way is to read the monograph, and "Statistical Analysis of Spatial Point Patterns" (2nd edt.) is a better choise. But I can not find it anywhere I can. Who can help me? Thank you! ----- unangu at gmail.com -- View this message in context:

R-packages leaps and subselect implement various methods of selecting best or good subsets of predictor variables for linear regression models, but they do not seem to be applicable to logistic regression models. Does anyone know of software for finding good subsets of predictor variables for linear regression models? Thanks. -Ben p.s., The leaps package references "Subset Selection

...uld be implemented in R. Take a look at page 23 in this pdf: http://www.springer-ny.com/supplements/0387953647/Preface_Contents_and_Chapter_8.pdf Lebreton, J-D et al. (1992) Modeling Survival and Testing Biological Hypotheses Using Marked Anomals: A Unified Approach with Case Studies. Ecological Monographs, 62(1), 67-118. Burnham, K.P. & Anderson, D.R. (2002) Model Selection and Multi-Model Inference - A Practical Information-Theroretic Approach (2nd Ed). Springer Verlag. //Henric

I'm using lm to run an ANOVA, and would like to use Ryan's Q as my post-hoc (as recommended by Day and Quinn, 1989, Ecological Monographs). I can't seem to find any methods in the base stats package that implement this post-hoc. Is there a good package of post-hoc methods out there, or has someone written a method for Ryan's Q previously? Thanks! -Jarrett

Yes: I have Tufte's monograph on my desk. (along with 4 statistics texts) Yes: I am not the biggest fan of PowerPoint. Yes: I am using R to generate charts, plots, trends, etc. I have to summarize them each week. When I consider how to organize this data my first thought is to generate an HTML file with links to the R-generated plots, which HTML file organizes the plots in the required

Dear R-Devel, I have had it in my mind for some time now that a Task View related to R and education might be a good thing. There are currently 19 Task Views, covering a broad spectrum of general topics for which R may be used. The homepage lists 64 books related to R, and several of them have accompanying packages on CRAN. There is a wiki and a host of contributed documentation. We also have a

...n 2.2923 2.2925 (2) pseudo-F formula We know that PRIMER uses the following formula to calculate the pseudo-F for a sequential test of significance (equation 4.3, Anderson, Gorley, and Clarke 2008, Chapter 4. Pg. 129, and based on pseudo-F equation in Legendre and Anderson (1999), Ecological Monographs vol. 69): F= (SSFull - SSReduced)/(qFull-qReduced) (SSTotal-SSFull)/(N - qFull - 1) (3) R code ## creating Bray-Curtis of Biodiversity data H.BC <- vegdist(H.Full [,14:211], "bray") ## Distance based redundancy analysis (dbRDA) m1<-capscale(H.BC ~ GroupSize + B...

Dear R developers, recently I have written a wishlist bug report for nlme containing a patch that adds the variance function structure s2(v) = t1^2 + t2^2*v^2 where v denotes the variance covariate, s2(v) denotes the variance function evaluated at v, and t, t1 and t2 are the variance function coefficients. The covariate can also be the fitted response. The idea that the residual variance

I have posted a new version of my document on R. I have corrected a number of errors and moved much of the detailed material on data structures to follow the chapter on exploration of multivariate data. I have changed the name; it is now: Using R for Data Analysis and Graphics - An Introduction The new document lives at: wwwmaths.anu.edu.au/~johnm/r/usingR.pdf My web page has information

Hi, We have some sample data from the US census, and we know the marginal totals for the population. We need to make the population estimates add up to the correct sums. I have two questions: Is there some package in R which does this adjustment, by any means? Is there some more modern reference for this problem than Deming's 1943 monograph, ``Statistical Adjustment of Data''?

Has anyone writen R code for estimating Hurst exponent with R/S method or other methods? or any other source of R code available? Many thanks Catherine Wang

Hi, is there any method for goodness of fit testing of an (as general as possible) univariate distribution with parameters estimated, for normal, exponential, gamma distributions, say (e.g. the corrected p-values for the Kolmogorov-Smirnov or Chi-squared with corresponding ML estimation method)? It seems that neither ks.test nor chisq.test handle estimated parameters. I am aware of function

Hello everyone I appologize for my lack of experience in statistical methods. I am an R user begginer and I am running a logit model using "zelig" and "pcse" packages. I will go to the point and is that Im having problems with interpreting the results of my models.. It is really simple (I guess for the most advanced scholars) however I really dont understand how to interpret

Hi *, Firstly, thank you so much for your time to read my email. I am currently interested in how to use R to predict time series from models fitted by ARIMA. The package I used is basic stats package, and the method I used is predict.Arima. What I know is that ARIMA parameters are estimated by Kalman Filter, but I have difficulty in understanding how exactly maximum likelihood (ML) estimator

The compositional data xi=(x_i1,x_i2,...,x_in), for each fixed i , xij>0, and sum(xij)=1; I want to compare the mean( u_i) of several groups i.e. H0: u_1=u_2=...=u_N or H0: u_11=u_21=...=u_N1 Are there any ANOVA tpye tools to do this work in R? Thanks, WEN S Q [[alternative HTML version deleted]]

...11 http://b4.boards2go.com/boards/board.cgi?user=ChurchCaptain *Wisdom for Teens* 8) http://groups.google.com/group/TeenAnswers http://groups.google.com/group/suicidevaccine http://groups.yahoo.com/group/suicide_vaccine http://groups.google.com/group/answers-for-teens [~~~All groups:::5 permanent monographs & no chat~~~ like, "Who are YOU?!?" , "The useless War of the Sexes" and "LOVE is the Real Thing".] Jim Sorrell [CaptainChurch] ~~~~~~~~~~~~~~~~~~~~~~~~Be a Good Neighbor~~~~~~~~~~~~~~~~~~~~~~ "Love your neighbour as yourself."--->>>means, see t...

Dear list, I want to combine several plots in one graph. I did this: plot(a1); plot(a2, add=TRUE); ...plot(a5, add=TRUE) The problem is the more plot we put, the more complex the graph. Is there any way to label each line; or other way just to make sure I know which one which? Thank you for the help, Ilham [[alternative HTML version deleted]]