search for: statistically

Hello, I have a simple class that looks like: setClass("statisticInfo", representation( max = "numeric", min = "numeric", beg = "numeric", current = "numeric", avg = "numeric", obs = "vector"

This is a very fascinating discussion topic. I find I run into some fundamental differences in interpretation of the phrase "statistical computing". I think of it as writing programs or functions, such as R or packages in R, and of understanding the numerical analysis behind these functions. I exclude USING computer programs, such as R, for data analysis from my definition of

The Statistical Computing and Graphics Award The ASA Sections of Statistical Computing and Statistical Graphics have established the Statistical Computing and Graphics Award to recognize an individual or team for innovation in computing, software, or graphics that has had a great impact on statistical practice or research. Typically, awards are granted bi-annually. The prize carries with it a

o <- (structure(list(sand.silt = structure(list(statistic = structure(185, .Names = "W"), parameter = NULL, p.value = 0.0478835773838087, null.value = structure(0, .Names = "location shift"), alternative = "two.sided", method = "Wilcoxon rank sum test with continuity correction", data.name = ".column by site"), .Names =

Hi there, Suppose mu is constant, and error is normally distributed with mean 0 and fixed variance s. I need to find a statistics that: Y_i = mu + beta1* I1_i beta2*I2_i + beta3*I1_i*I2_i + +error, where I_i is 1 Y_i is from group A, and 0 if Y_i is from group B. It is large when beta1=beta2=0 It is small when beta1 and/or beta2 is not equal to 0 How can I find it by R? Thank you very much

Hi all, I apologize for this off-topic question but I need your help -- I know there are lots of experts here. As a lover and student of statistics, I am thinking of building a tree of various branches of statistics and keeping track of the greatest historical inventions/discoveries in statistics and the latest development of each branch. The goal is to understand in what context did the great

John M. Chambers Statistical Software Award - 2011 Statistical Computing Section American Statistical Association The Statistical Computing Section of the American Statistical Association announces the competition for the John M. Chambers Statistical Software Award. In 1998 the Association for Computing Machinery presented its Software System Award to John Chambers for the design and development

Job Description. We are seeking 2 statisticians and R developers to join the Methodological innovation team of FAO Statistics Division in Rome, Italy. Statistics is a core function of FAO and represents a highly visible area of the Organization's work. FAO is recognized as having a fundamental global role in developing methods and standards for food and agriculture statistics and as hosting

Question: How can I get access to the bias value of a boot statistic? Details: Boot function: boot(data, statistic, R, sim="ordinary", stype="i", strata=rep(1,n), L=NULL, m=0, weights=NULL, ran.gen=function(d, p) d, mle=NULL, ...) When I create an object, containing the bootstrap statistic (object <- boot (....))I can call it and will get an output

Hi, Could anyone provide the formula of the statistics which the wilcox.test used for the two-sample rank-sum test? I got some statistics of 0 values, but it is impossible to have 0 "rank-sum". Does the function use the Mann-Whitney U test statistics? Thanks. Ting-Yuan Liu

Hi, there I am quite sure there is an easy answer to this, but I am unsure how to gather a bunch of t-statistics in an organized format. I am trying to generate a list of t-statistics for a randomization routine. If I try to collect a bunch of t-statistics from a run, this is what happens: > M <- 10 ; simt <- NULL > for(i in 1:M) + { + perm<-sample(site,replace=F) + +

Statistical Science and the Internet A mini-conference to explore the impact of emerging Internet technologies on the field of statistics. July 12-14, 1998 Drew University Madison, New Jersey Organizer: Mark Hansen, Bell Laboratories --------------- Call for Participants --------------- Over the past few years, the Internet has changed the way we announce our

I am looking for online courses to learn Spatial Statistics using R. Statistics.com is offering an online course in December on the same topic but that schedule doesn't suit mine. Are there any other similar modes for learning spatial statistics using R??? Can someone please advice??? Thank you. Ravi -- View this message in context:

The Journal of Statistical Software was founded by Jan de Leeuw in 1996. Currently, there are 26 volumes with 260 aricles and the journal publishes about 4 new volumes per year. The web address is www.jstatsoft.org. All articles are pdf files, since 2005 all produced from JSS LaTeX templates. JSS is edited by Jan de Leeuw, since 2005 jointly with Achim Zeileis of the Wirtschaftsuniversität Wien.

I'm also having trouble installing R 1.3.1 on Solaris and getting png and jpeg support. It looks like perhaps the png and jpeg libraries I installed weren't built with all the support R needs. If that's the case I'd appreciate confirmation. Or perhaps there's something else I can do? (with all the details I've included this message is rather long) Thanks -Don I did

I am new to using R and would appreciate some advice on which books to start with to get up to speed on using R. My Background: 1-C# programmer. 2-Programmed directly using IMSL (Now Visual Numerics). 3- Used in past SPSS and Statistica. I put together a list but would like to pick the "best of" and avoid redundancy. Any suggestions on these books would be helpful (i.e. too much

I am attempting to use package boot to summarize and compare the performance of three models. I'm using R 2.13.0 in a Win32 environment. My statistic function returns a vector of 6 values, 3 of which are error rates for different models, and 3 are pairwise differences between those error rates. It looks like: multiEst<-function(dat,i) { .... c(E1,E2,E3,E2-E1,E3-E1,E3-E2); }

Hi, In the boot package, the original statistic is simply the statistic function evaluated on the original data (called t0). However, in Harrell et al 1996 "Multivariable prognostic models..." Stats Med vol 15, pp. 361--387, it is different (p. 372): The statistic function evaluated on the original data is called "D_app" (apparent statistic), whereas "D_orig"

I'm looking for a book for someone completely ignorant of statistics who wishes to learn both statistics and R. I've found three possibilities, one by Verzani ("Using R for Introductory Statistics"), one by Crawley ("Statistics: An Introduction using R"), and one by Dalgaard ("Introductory Statistics with R"). Do these books have different emphases,

Hi I would like to start by thanking everyone that replied. Thank you for the information, and for the comments about how or why you use it and thankx for the encouragement re my talk.... Please note that I do not claim to have ellicited a reply from all users of R, this is a quick survey not a census. I have tried to break the responces down to the following categories: Where: (hopefully