search for: devore5

I maintain the Devore5 package for R. This package provides the data sets from Jay Devore's text "Probability and Statistics for Engineering and the Sciences (5th ed)". I am having difficulty reproducing some logistic regression results from the textbook. Perhaps this is because I am not using the glm fun...

...k at ci.tuwien.ac.at> License: GPL (see file COPYING), except for ./src/muin2ser.f and ./misc which are free for non-commercial purposes. See file README for details. URL: http://www.r-project.org Index of Contents (Text) Reference Manual (PDF) Package Sources AnalyzeFMRI CoCoAn Devore5 EMV GLMMGibbs GenKern GeneSOM KernSmooth Matrix NISTnls Oarray PHYLOGR PTAk RArcInfo RMySQL RODBC RPgSQL RandomFields RmSQL Rstreams Rwave SASmixed SuppDists VR XML acepack adapt akima ash bindata blighty boot bootstrap bqtl car cclust cfa chron cluster cmprsk coda conf.design cramer date diamonds...

I have copied the R FAQ pertaining to available packages into an EXCEL file. They take the following form - Design Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. Design is a etc. Devore5 Data sets and sample analyses from "Probability and Statistics for Engineering and the Sciences (5th ed)" by Jay L. Devore, 2000, Duxbury. Presently the above format can be represented as: package name package description space I want to change the format so that file name and descr...

I maintain the Devore5 package which contains the data sets from the 5th edition of Jay Devore's text "Probability and Statistics for Engineering and the Sciences". The 6th edition has now been published and it includes several new data sets in exercises and examples. In addition, some exercises and examp...

I am not sure if my message made it through, so here it is again! Hi Rer's, R-1.1.0 I have two questions for you: 1) I am trying to complete a multiple comparison test after completing a one-way ANOVA on some data. I think this is pretty reasonable. aov(MetricSubset ~ GeneNameFactor) works pairwise.t.test(MetricSubset,GeneNameSubset,p.adjuxt.method=bonferroni,p ool.sd=FALSE)

Dear R people: I would like to superimpose a normal curve on a histogram. I've seen this example in a book, somewhere. I know that you draw the hist, get the mean and sd of the data set, but then I'm stuck. Could you help, please? Thanks! Erin hodgess at uhddx01.dt.uh.edu -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Dear List, are there post-hoc tests like Scheffe, LSD, etc. available after ANOVA test is performed with significant F-statistic? I have tried help.search("Scheffe"), but "No documentation found" (and I have most of packages installed). Probably there are such tests in R, and I am just searching badly... My second question is: Which test/method I should use for ANOVA-like

Hello ALL: I am looking for multiple comparison tests for ANOVA models. Does R have any of these? Fisher least significant difference test. Tukey henestly significant difference test. Newman - Keul test. Dunnett's test Scheffe test. Thank you, ANDREW -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hi all, I use a function update.packages to update all packages in my R instalation. But I need compare one by one packages to discovery new packages. My question is: Exist in R any function that compare all installed packages in my R and all packages available in CRAN and return a list of the new packages (ie packages that I dont have im my installation) and automatic download and install

...tacking" columns and the command to perform the operation is "stack". I have written a similar function for R. Before taking the time to make it elegant and to document it, I thought I would check if I have overlooked an existing way of doing this. Here is an example > library(Devore5) > data(ex10.09) > boxplot(ex10.09) > str(ex10.09) # show the structure `data.frame': 6 obs. of 4 variables: $ Wheat : num 5.2 4.5 6 6.1 6.7 5.8 $ Barley: num 6.5 8 6.1 7.5 5.9 5.6 $ Maize : num 5.8 4.7 6.4 4.9 6 5.2 $ Oats : num 8.3 6.1 7.8 7 5.5 7.2 > stack &...

Hi folks, I tried to retain the Weibull distribution using the `nls' function and proceeding along the lines of the example provided in the `SSweibull' help (at least I thought so): t <- (1:200)/100 v <- pweibull(t, shape=3, scale=1) df <- data.frame(Time=t, Value=v) Asym <- 1.0; Drop <- 1.0; lrc <- 0; pwr <- 1 df.estimate <- nls(Value ~ SSweibull(Time,

...","date","Davies","DBI","dblcens","DCluster","DDHFm","deal","debug","deldir","delt","denpro","DEoptim","depmix","DescribeDisplay","Design","Devore5","Devore6","dglm","diamonds","dichromat","DICOM","digest","diptest","dispmod","distr","distrEx","distrSim","distrTEst","diveMove","doBy","DPpackage&q...