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Multiple Comparisons Using R Frank Bretz, Torsten Hothorn, Peter Westfall
Publisher: Chapman and Hall CRC

Serafini B, Rosicarelli B, Magliozzi R, Stigliano E, Aloisi F. For example, this will return all elements of B that are both prime (Experienced R users would, however, warn you against using this in more complex cases where you had multiple datasets, or a large number of columns, since you can quickly and confusingly clutter up your scope). Global statistical tests have also been proposed for comparisons of multiple correlated outcomes, typically used within the clinical trials setting; however, their use in composite quality indices has been minimal [11-14]. I haven't read everything, but the initial chapters are very good at introducing the idea, and the examples given on his own computed program can be easily adapted to R. It provides the The key feature of the app is that the barplots are condititional barplots, such that a set of multiple time series barplots are displayed vertically for visual comparison, conditional on levels or classes of a given categorical variable. In this field, the interest is often in comparing a clinical and a control group, and so some results are more interesting than others: the main effect of group, and the seven interactions with group are the principal focus of attention. Detection of ectopic B-cell follicles with germinal centers in the meninges of patients with secondary progressive multiple sclerosis. Finally, you can set some universal parameters so that you don't have to specify them in every function. Multiple box plots for comparison boxplot(education[,2:4]). They increased their examination scores by almost 17 points each successive time that they took the exam, with scores reaching their highest point 28 to 31 years after initial certification. To date, nothing is known about the .. I've made a new app using Shiny, an R package for publishing interactive web applications. Because logical and comparison operators also work on matrices, you can use this almost like a little query language. The simulation study was completed using the R software (GNU Project) statistical package (provided in the public domain by the R Foundation for Statistical Computing, Vienna, Austria, available at http://www.r-project.org/).30. We have been taught that we do ANOVA rather than numerous t-tests because ANOVA adjusts for multiple comparisons. Only a one in twenty chance of it being a spurious chance effect. Remarkably, comparison of B cell receptor sequences in MS brain parenchyma, meningeal lymphoid follicles, and CSF indicates that the B cell repertoire overlaps across these compartments (20, 21). This study discusses recent guidelines involving multiple comparison corrections, calculates the prevalence of corrections in ophthalmic research, and estimates the corresponding number of false-positive results reported at a recent . Incorrect, incomplete, and confusing coverage of other matters, from when it's appropriate to use a one-tailed test, to whether to correct for multiple comparisons (Hurlbert apparently believes you should never do so, and so slams Sokal & Rohlf for insisting on this), and many more. This app was produced for the Marine Downscaling project.