The vignette offers an extended example. So, we created a comprehensive list of all packages in R. All rights reserved. if they download packages between 11pm on one day and 1am on the following day, their unique ID will change from the first day to the second one and will provide a small error in the end results. The vignette offers examples. readwritesqlite v0.0.2: Provides functions to read and write data frames to SQLite databases while preserving time zones (for POSIXct columns), projections (for sfc columns), units (for units columns), levels (for factors and ordered factors), and classes for logical, Date, and hms columns. One aspect that I did not take into account at the beginning of the testing is the constant changes made on the CRAN website that disturb the scraping and the calculation if they are not done exactly at the same and require to constantly update the entire python page. I realized soon after the runs that the server had only one node and that all the results are actually ordered in the same one than the original due to the server configuration. its in fact awesome in favor of me. (2013) for the background and the vignette for examples. Spark technology to parallelize the processes on the Linux server(s) using Linux commands. Undeniably consider that that you said. See the vignette for examples. mlr3 v0.1.2: Provides R6 object-oriented programming building blocks for machine learning tasks. MGDrivE v1.0.0: Implements a testbed for gene drive interventions for mosquito-borne diseases control. To work with this matrix and switch back and force to the package names, we just need to build a dictionary of packages name -> package index and a second dictionary of package index -> name to optimize the use of our matrix. kernelTDA v0.1.1: Provides tools for exploiting topological information in standard statistical learning algorithms, implements kernels defined on the space of persistence diagrams, and provides a solver for kernel Support Vector Machines based on the C++ LIBSVM and functions to compute Wasserstein distance using the C++ HERA library. Thanks. As of this writing, it tracks statistics on 11,768 packages (distributed across CRAN, BioConductor and Github) comprising over 1.7 million R functions in total. The following script wrote for Spark and Python was several time tested on my computer with small data sets given my configuration (6 GB of memory and 4 CPUs). odin v1.0.1: Provides functions to generate systems of ordinary differential equations (ODE) and integrate them, using a domain specific language (DSL). modelsummary v0.1.0; Leverages the gt and broom packages to create customizable, publication-ready summary tables for statistical models. An R community blog edited by RStudio. With this matrix, a preliminary network graph would look like that (work in progress!! I did a long and fastidious phase of testing on my local computer to try to access the accuracy of methodology and the accuracy of the script and came with the following final Spark script. There is a vignette on Discrete Models and another with several examples. forestRK v0.0-5: Provides functions that calculate common types of splitting criteria used in random forests for classification problems, as well as functions that make predictions based on a single tree or a Forest-R.K. The Cran website on which is based the work is constantly updating the content regarding the packages by adding, deleting or updating packages which makes the information capture and the work more difficult. RPEIF v1.0: Computes the influence functions time series of the returns for the risk and performance measures as mentioned in Zhang and Martin (2017) as well as Chen and Martin (2018). R offers multiple packages for performing data analysis. Use of the API requires a free API key. The idea for the final script is to generate a unique ID composed of the day tag and IP_ID tag and then for every unique ID, extract a set (in order to remove duplicates) of all the packages that have been downloaded by this single user. emax.glm v0.1.2: Implements Expectation Maximization (EM) regression for general linear models. On that page, you can find current rankings on the most downloaded R packages, the most prolific package … NYC Data Science Academy is licensed by New York State Education Department. See the README for an overview. The vignette provides usage information. they plainly don't realize about. (2007) for estimating ordinary differential equation models with missing or complete observations. I'm no longer positive whether or not this The design took me longer than I was expecting and the testing took me way more time than I had anticipated. According to the script written, the "CRAC" has been downloaded 1,423 times between January and May 2015 and it is ranked 1,170th according to the present methodology. (2018). Since the matrix is made of 0 and 1 with more 0 than 1, it was much easier to use the sparse matrix concept from the Numpy package in Python to manipulate such characteristics. mipred v0.0.1: Calibrates generalized linear models and Cox regression models for prediction using multiple imputation to account for missing values in the predictors. In order to distinguish the most popular packages from the most downloaded packages, it is necessary: Theoretically, the project isn’t quite complicated but the size of the web scraping involved, and the records to process require time and a technology such as Spark to parallelize the processes and get the results in a few hours instead of a few days using Python alone. Beyond some of the popular packages such as caret, ggplot, dplyr, lattice, there exist many more libraries which remain unnoticeable, but prove to be very handy at certain stages of analysis. MixMatrix v0.2.2: Provides sampling and density functions for matrix variate normal, t, and inverted t distributions using the EM algorithm. the simplest thing to bear in mind of. For details, see Gruenstaeudl and Jenke (2019), and for an example, see the vignette. rolldown v0.1: Provides R Markdown output formats based on JavaScript libraries such as Scrollama for storytelling. See Thompson et al. [Video]. © 2016 - 2020 Provides functions to create privacy protected raster maps can be created from spatial point data. (2014) for the background and look here for examples. See Mawdsley et al. BallMapper v0.2.0: Provides functions to compute a topologically accurate summary of data in the form of an abstract graph, using the algorithm described in Dlotko, (2019). Teachers: Andrew, Bryan, Jason, Sam, Vivian. There are vignettes on Basic Style and Sidebar Layout for Scrollama documents. having some trouble using ggplot2 and its functions then this package is for you. There is a Package Summary with examples. (2010) Borrowing is done with multisource exchangeability models (MEMs). Here are my “Top 40” picks organized into twelve categories: Data, Data Science, Finance, Genomics, Machine Learning, Mathematics, Medicine, Statistics, Time Series, Topological Data Analysis, Utilities and Visualization. We can notice that among all the indexes generated above, they were multiple duplicates and after recalculating the entire matrix and using the non-zero( ) fonction, we can observe that only 14,435 are relevant. modeLLtest v1.0.0: Implements the cross-validated difference in means (CVDM) test by Desmarais and Harden (2014) and the cross-validated median fit (CVMF) test by Desmarais and Harden (2012). Most popular R packages. On the other hand, the CRAN package download logs are available on http://cran-logs.rstudio.com/: The log files contain all hits to rstudio.com related to packages. This package has brought the most important feature of Tableau to R. There is a vignette on ggparty and another on edges. PACVr v0.8.1: Provides functions to visualize the coverage depth of a complete plastid genome, as well as the equality of its inverted repeat regions in relation to the circular, quadripartite genome structure and the location of individual genes. sdcSpatial v0.1.1: Thanks to Bryan, for his last minute debugging advise in the evening before the presentation. 3. See the 2018 Journal of Computational and Graphical Statistics paper for a description of the underlying concepts, and the Github page for examples. Read this R documentation to know about ggplot2 functions, click here: https://bit.ly/2DBo0VK. Current count of downloadable packages from CRAN stands close to 7000 packages!
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