WebAn R Package for Multiple Break-Point Detection via the Cross-Entropy Method: BreakPoints: Identify Breakpoints in Series of Data: breathtestcore: Core Functions to Read and Fit 13c Time Series from Breath Tests: breathteststan: Stan-Based Fit to Gastric … WebIn R >= 2.14.0, one can use a Authors@R field in ‘ DESCRIPTION ’ to provide (R code giving) a person object with a refined, machine-readable description of the package “authors” (in particular specifying their precise roles). Only those with an author role will be included in the auto-generated citation.
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Web2016; Langan et al., 2024). Accordingly, the currenct default in R package meta is the REML estimator. The following R command could be used to employ the Paule-Mandel instead of the REML estimator in all meta-analyses of the current R session: • settings.meta(method.tau = "PM") Other estimators for ˝2 could be selected in a similar way. WebFeb 28, 2024 · We will use the popular dplyr R package to manipulate data. It’s important to declare each R package we use in the DESCRIPTION file. Don’t worry: if you forget this devtools::check() will throw a note. Declare the package with: usethis::use_package(“dplyr”) Let’s add some code to the vignette to load the data and show a summary: chat tv coverage of 2021 civic election
description function - RDocumentation
WebJul 16, 2024 · Simply add a file/path argument to your function (s). Write package names, software names, and API names in single quotes in your DESCRIPTION. If you use for example LaTeX in your DESCRIPTION, put it in single quotes. This issue is apparently not discovered by goodpractice::gp () or one of the inteRgrate functions. WebDescription – describe () Function in R. When using describe in r, the describe function has the form of describe (dataset), where “dataset” is the data set being described. The … WebIt’s the job of the Description to list the packages necessary for your package to work. R has a rich set of ways of describing potential dependencies. For example, the following lines indicate that your package needs both ggvis and dplyr to work: Imports: dplyr, ggvis chatt vapor company