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cran package statistics
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ACSWR, A Companion Package for the Book "A Course in Statistics with R". ACTCD, Asymptotic Classification Theory for Cognitive Diagnosis. Actigraphy, Actigraphy Data Analysis. ActiveDriver, Finding Cancer Driver Proteins with Enriched Mutations in Post-Translational Modification Sites. activity, Animal Activity Statistics. What are R and CRAN? R is 'GNU S', a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc. Please consult the R project. Query download counts directly from R with the cranlogs R package. You can install it from Github: > devtools::install_github("metacran/cranlogs") Then you can use it to query the CRAN logs server, and the results are returned in a data frame. You can also query multiple packages at once. > cran_downloads(when. Why so many packages? R has a very active developer community, who contribute new packages to CRAN on a daily basis. As a result, R is unparalleled in its capabilities for statistical computing, data science, and data visualization: almost anything you might care to do with data has likely already been. A tool providing easy access to explore and visualise daily, monthly or yearly package download stats from Rstudio cran mirror logs, by correcting for downloads from dependent packages. dhyper, The Hypergeometric Distribution. diff.ts, Methods for Time Series Objects. diffinv, Discrete Integration: Inverse of Differencing. dist, Distance Matrix Computation. distribution, Distributions in the stats package. Distributions, Distributions in the stats package. distributions, Distributions in the stats package. dlnorm, The. Almost everyone with an R package in CRAN wonders how often it's installed and used.. Much easier than downloading and processing all of the log files, however, is working with RStudio's JSON API, (which can be accessed with cranlogs) to find downloads-per-day statistics for any specific package. Hadley Wickham announced at Twitter that RStudio now provides CRAN package download logs. I was wondering about the download numbers of my package and wrote. Already out, and the R blogosphere started buzzing with action: James Cheshire created a beautiful world map which highlights the countries based on how much people there use of R. Felix Schonbrodt wrote a great post on Tracking CRAN packages downloads. In the meantime, I've started crafting some. What are the top 100 (most downloaded) R packages in 2013? Thanks to the recent release of RStudio of their "0-cloud" CRAN log files (but without including downloads from the primary CRAN mirror or any of the 88 other CRAN mirrors), we can now answer this question (at least for the months of Jan till. CRAN package download logs. These log files contain all hits to http://cran.rstudio.com/ related to packages. The raw log files have been parsed into CSV and anonymised as described at the bottom of the page. (This article was originally published at Nicebread, and syndicated at StatsBlogs.) [Update June 12: Data.tables functions have been improved (thanks to a comment by Matthew Dowle); for a similar approach see also Tal Galili's post] The guys from RStudio now provide CRAN download logs (see also this. R is a programming language and free software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Polls, surveys of data miners, and. A collection of awesome R packages, frameworks and software. One thing that I've given a lot of thought to recently is the process that I use to decide whether I trust an R package or not. Kasper Hansen took a break from trolling me on Twitter to talk about how he trusts packages on Github less than packages that are on CRAN and particularly Bioconductor. A couple of. The guys from RStudio now provide CRAN download logs (see also this blog post). Great work! I always asked myself, how many people actually download my packages. Now I finally can get an.. http://www.r-statistics.com/2013/06/answering-how-many-people-use-my-r-package/. If you're interested, I'd. http://cranlogs.r-pkg.org offers a variety of ways to access counts of the number of times a package has been downloaded (not installed) from the RStudio CRAN mirror (only), including an API for generating badges automatically and an R package. For the mltools package: Downloads. Hadley Wickham announced at Twitter that RStudio now provides CRAN package download logs. I was wondering about the download numbers of my package and wrote some code to extract that information from the logs... The first code snippet is taken from the log website itself: Then I downloaded all. Base R ships with much functionality for analysing ecological and environmental data, in particular in the standard package stats. This functionality is complemented by many packages on CRAN, which allow specific models particularly suited to analysing the sorts of multivariate data often produced within ecology and the. The installation and usage: how can you install packages from CRAN, CRAN mirrors, Bioconductor or Github?. For example, for the “stats" package, these ways will be:. For example, the oldest package published in CRAN and still online and being updated is the vioplot package, from Daniel Adler. E-statistics (energy) tests for comparing distributions: multivariate normality, multivariate k-sample test for equal distributions, hierarchical clustering by e-distances, multivariate independence test, goodness-of-fit tests. Energy-statistics concept based on a generalization of Newton's potential energy is due to Gabor J. Implements a range of statistical methodology based on the negative binomial distributions, including empirical Bayes estimation, exact tests, generalized linear models and quasi-likelihood tests. As well as RNA-seq, it be. To view documentation for the version of this package installed in your system, start R and enter: As an article distributes scientific ideas to others, a package distributes statistical methodology to others. Most users first see the packages of functions distributed with. R or from CRAN. The package system allows many more people to contribute to R while still enforcing some standards. But packages are. E-statistics (energy) tests and statistics for comparing distributions: multivariate normality, multivariate distance components and k-sample test for equal distributions, hierarchical clustering by e-distances, multivariate independence tests, distance correlation, goodness-of-fit tests. Energy- statistics concept. R is a statistical software made up of many user-written packages. The base version. To see what packages are installed, use the installed.packages() command. This will return a.. A list of the packages available through CRAN including a short package description can be found at CRAN's Contributed Packages page. To install a CRAN package in R, use the install.packages() function. This simple command downloads the package from a specified repository (by default, CRAN) and installs it on your machine: > install.packages("fortunes"). Note that the argument to install.packages() is a character string. In other words, remember the. The CRAN Package repository features 6778 active packages. Which of these. We also present the CRANtastic rating of few packages here only to represent that it is gaining popularity. However. Her areas of interests include Statistics & Data Mining for Business, Machine learning and Data-Driven Marketing. Related:. Welcome. to crantastic, a community site for R packages where you can search for, review and tag CRAN packages. Most popular packages. 1. ggplot; 2. rms; 3. dplyr; 4. fields; 5. PairwiseD.more! Recent activity. EDMeasure was upgraded to version 1.1.0 (10 minutes ago); polymapR was upgraded to version 1.0.13 (29. Abstract: The number of R extension packages available from the CRAN repository has tremendously grown over the past 10 years. We look at this phenomenon in more detail, and discuss some of its consequences. In partic- ular, we argue that the statistical computing community needs a more com- mon understanding of. Note: Binary (built) packages are required. Source packages must be built before they can be uploaded to Spotfire Statistics Services. Spotfire Statistics Services accepts .zip archives (Microsoft Windows servers only) or tar.gz archives (Linux servers only). If you plan to download an R package from CRAN to run on the. In this paper we review the current state of R packages for Item Response Theory (IRT). We group the available. Keywords: Item Response Theory, review, free software, R, CRAN, Workplace Industrial Re-. package and a programming language well-suited for statistical problems and much of its popularity is. The R community is known to be very active and is noted for continuously adding user-generated statistical packages for specific areas of study, which makes R applicable to many fields of study. The "Comprehensive R Archive Network" (CRAN) is a collection of sites (called mirrors) which carry identical. The Comprehensive R Analysis Network (CRAN) is a collection of ~5000 extension packages to the public domain R statistical software system. It has been growing exponentially since 2001. This page is an attempt to maintain an up-to-date listing of CRAN packages written specifically for astronomy, given in order of most. CRAN R-spatial packages. A (not exhaustive!) list of R packages (typically) under development on GitHub but not on CRAN are:. fuzzyMM, a package for fuzzy map matching; mss, a package with methods and classes that enable doing meaningful spatial statistics; rgdal2, a package with R proxies to spatial objects living. If you need to cite R, there is a very useful function called citation() . > citation() To cite R in publications use: R Core Team (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/. A BibTeX entry for LaTeX users. 5 Editors IDEs and notebooks with R support. 5.1 Rstudio IDE; 5.2 Rstudio server; 5.3 Emacs Speaks Statistics; 5.4 Nvim-R; 5.5 Cantor; 5.6 Jupyter notebook. 6 Tips and tricks. 6.1 Optimized packages. 6.1.1 OpenBLAS; 6.1.2 Intel MKL; 6.1.3 intel-advisor-xe. 6.2 Set CRAN mirror across R sessions. From the R console first pick a local mirror: chooseCRANmirror(). you can then see what it picked with options("repos"). To permanently save the mirror site add it to ~/.Rprofile. For example: options(repos=c(CRAN="http://cran.stat.auckland.ac.nz")). and then run install.packages() as in the. This document will list and describe several commonly used packages for statistical analysis, data. For a complete list of packages supported by CRAN (the Comprehensive R Archive Network) see:. The first time you install a package in a session, a dialog box will open, asking you to choose a CRAN. Not Supported! Note that neither the ITS Statistics and Computing Admins nor CSCAR provide support for the installation and use of personal R packages. This page provide some general advice, but if there are problems, you must turn to your colleages or the package provider for assistance. For the transfer of data between MariaDB Server and R Environment, it is recommended R's "odbc" Package: CRAN odbc. “odbc" is a new R package available on CRAN (Since 2017-02-05), and maintained by RStudio, which is designed to comply with the DBI specification. The shapes package can be downloaded from CRAN (Comprehensive R Archive Network). If you find the package useful then please let me know, including academic researchers and business/industrial users. e-mail: ian.dryden -AT- nottingham.ac.uk. For example, if you have implemented a complex statistical algorithm, you might want to describe all the details in a vignette so that users of your package can understand what's going on under. To see vignettes for a package you haven't installed, look at its CRAN page, e.g., http://cran.r-project.org/web/packages/dplyr. R-project.org/ package="FKF" (accessed 03.02.12). Lupi, C., 2011. CADFtest: Hansen's Covariate-Augmented Dickey-Fuller Test. R package version 0.3-1. http://CRAN.R-project.org/package=CADFtest (accessed 03.02.12). L ̈utkepohl, H., 2005. New Introduction to Multiple Time Series Analysis. Springer-Verlag, New York. The r-cran-afex package is a GNU R package providing convenience functions for analyzing factorial experiments using ANOVA or mixed models. aov_ez(), aov_car(), and aov_4() allow specification of between, within (i.e., repeated- measures), or mixed between-within (i.e., split- plot) ANOVAs for data in long format (i.e.,. Keywords-software repository mining; software ecosystem; package dependency management; software evolution; software distribution; GitHub; CRAN. I. INTRODUCTION. There are many popular languages, tools and environ- ments for statistical computing. On the commercial side, among the most popular ones are SAS,. CRAN Task Views are guides to the packages and functions useful for certain disciplines and methodologies. Many long-term R users I know have no idea they exist. As an effort to make them more widely known I thought I'd jazz up the index page. Images are free to use, and got from SXC stock photo site. Visual puns are. The package serves as a building block for other packages in the domain of robust statistics. This CRAN package is contained in the “Multivariate," “Robust," and “SocialSciences" Task Views. It employs S4 methods and classes, but also imports S3 methods. The burdensome computations for some robust methods,. R comes equipped with pre-installed packages. Packages are external community-developed extensions in the form of libraries. They add functionalities not included in the base installation such as extra statistical techniques, extended graphical possibilities, data sets, etc. As of November 2016, the CRAN package. importFrom("stats", "na.omit", "quantile", "rgamma", "symnum") importFrom("utils", "available.packages", "flush.console", "head", "help.search", "installed.packages", "packageVersion") to your NAMESPACE file (and ensure that your DESCRIPTION Imports field contains 'methods'). Flavors: r-devel-linux-x86_64-debian-clang,. There are also numerous R functions designed to provide a range of descriptive statistics at once. For example. # mean,median,25th and 75th quartiles,min,max summary(mydata) # Tukey min,lower-hinge, median,upper-hinge,max fivenum(x). Using the Hmisc package. library(Hmisc) describe(mydata) # n, nmiss, unique. More information about elementR at CRAN · Permanent link. New package EDMeasure with initial version 1.0.0. Package: EDMeasure. Title: Dependence Measures via Energy Statistics Version: 1.0.0. Date: 2018-01-30. Authors@R: c( person("Ze", "Jin", email = "zj58@cornell.edu", role = c("aut", "cre")), person("Shun",. reinstallr, misc, Seeks to find packages that had previously been installed on your system and need to be re-installed after upgrading R. CRAN. reinstallr().. for modeling data here, but the one I use, CrossTable, simply creates cross-tabs with loads of options -- totals, proprotions and several statistical tests. R offers multiple packages for performing data analysis. Apart from providing an awesome interface for statistical analysis, the next best thing about R is the endless support it gets from developers and data science maestros from all over the world. Current count of downloadable packages from CRAN. summary.statistics.formula summary.statistics.matrix summary.statistics.matrix summary.statistics.network summary.statistics.network summary.statistics.network.list summary.statistics.network.list summary.statsmatrix.ergm vcov.ergm. See section 'Registering S3 methods' in the 'Writing R Extensions' Apart from the packages which automatically come with R; there are more than 2000 packages available at CRAN. So depending on the type of statistical analytical techniques, one can download the package required. CRAN does not have Windows systems and therefore cannot check for viruses. It is important to use the. Write statistical models in the BUGS language from R. NIMBLE adopts and extends BUGS as a modeling language and lets you program with the models you create. Other packages that use the BUGS language are only for Markov chain Monte Carlo (MCMC). With NIMBLE, you can turn BUGS code into model objects and. Longhai Li, Department of Mathematics and Statistics, University of Saskatchewan. I occacionally publish R add-on packages for others to implement and test the statistical methodoglogies I discuss in my papers. R is a free. Type the following command in R console to install it to /my/own/R-packages/ directly from CRAN:. How to install. install.packages("InformationValue") # For stable CRAN version devtools::install_github("InformationValue") # For latest dev version.. KS Statistic or Kolmogorov-Smirnov statistic is the maximum difference between the cumulative true positive and cumulative false positive rate. It is often used as the deciding. To install an R package, do Packages → Install Packages from CRAN For the first time, the user is prompted to choose a mirror site for download, so choose one. GlobalEnv" "package:stats" "package:graphics" [4] "package:grDevices" "package:utils" "package:datasets" [7] "package:methods" "Autoloads" "package:base". R for Windows Subdirectories: Base Binaries for base distribution (managed by Duncan Murdoch). This is what you want to install R for the first time. contrib Binaries of contributed packages (managed by Uwe Ligges). There is also information on third party software available for CRAN Windows services and corresponding.
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