Data sets in r

    • [PDF File] Creating simulated data sets in R - GitHub Pages

      http://5y1.org/file/13171/creating-simulated-data-sets-in-r-github-pages.pdf

      We are now ready to use the mvrnorm function in R to simulate some number n of sampled organisms with these three measurements. We use the mvrnorm arguments mu and Sigma to specify the vector of means and covariance matrix, respectively. sim_data <- mvrnorm(n = 40, mu = mns, Sigma = cv_mat);

      TAG: data sets used in healthcare


    • [PDF File] CASdatasets: Insurance Datasets - CNRS

      http://5y1.org/file/13171/casdatasets-insurance-datasets-cnrs.pdf

      Title Insurance Datasets Version 1.0-12 Author Christophe Dutang [aut, cre], Arthur Charpentier [ctb] Maintainer Christophe Dutang <dutangc@gmail.com> Description A collection of datasets, originally for the book 'Computational Actuarial Science with R' edited by Arthur Charpentier. Now, the package contains a large variety of actuarial …

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    • [PDF File] Automation of Standard ADaM Variables Through an R Package – …

      http://5y1.org/file/13171/automation-of-standard-adam-variables-through-an-r-package.pdf

      An R package collects R libraries, datasets, and documentation. R is an open-source programming language allowing users to create and publish their packages. Many packages are available today to derive parts of clinical data reporting, which helps reduce programming time and effort. Here, we introduce the GenAdam package which allows

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    • [PDF File] merge — Merge datasets

      http://5y1.org/file/13171/merge-—-merge-datasets.pdf

      6merge— Merge datasets Overview merge 1:1 varlist ::: specifies a one-to-one match merge. varlist specifies variables common to both datasets that together uniquely identify single observations in both datasets. For instance, suppose you have a dataset of customer information, called customer.dta, and have a second dataset of other

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    • [PDF File] An introduction to data cleaning with R

      http://5y1.org/file/13171/an-introduction-to-data-cleaning-with-r.pdf

      Since indexing skills are important for data cleaning, we quickly review vectors, data.frames and indexing techniques. The most basic variable in R is a vector. An R vector is a sequence of values of the same type. All basic operations in R act on vectors (think of the element-wise arithmetic, for example).

      TAG: medical data sets for statistics projects



    • [PDF File] Ecdat: Data Sets for Econometrics - The Comprehensive R Archive …

      http://5y1.org/file/13171/ecdat-data-sets-for-econometrics-the-comprehensive-r-archive.pdf

      Depends R (>= 3.5.0), Ecfun Suggests plm, systemfit, carData, wooldridge Description Data sets for econometrics, including political science. LazyData true License GPL (>= 2) Language en-us URL https://www.r-project.org NeedsCompilation no Repository CRAN Date/Publication 2022-10-16 00:26:31 UTC R topics documented:

      TAG: simple data sets for statistics



    • [PDF File] MASS: Support Functions and Datasets for Venables and Ripley's MASS

      http://5y1.org/file/13171/mass-support-functions-and-datasets-for-venables-and-ripley-s-mass.pdf

      Depends R (>= 4.4.0), grDevices, graphics, stats, utils Imports methods Suggests lattice, nlme, nnet, survival Description Functions and datasets to support Venables and Ripley, ``Modern Applied Statistics with S'' (4th edition, 2002). Title Support Functions and Datasets for Venables and Ripley's MASS LazyData yes ByteCompile yes License GPL …

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    • [PDF File] CatDataAnalysis: Datasets for Categorical Data Analysis by Agresti

      http://5y1.org/file/13171/catdataanalysis-datasets-for-categorical-data-analysis-by-agresti.pdf

      Title Datasets for Categorical Data Analysis by Agresti Author Alan Agesti <aa@stat.ufl.edu> Maintainer Charles J. Geyer <charlie@stat.umn.edu> Depends R (>= 3.0.2) Description Datasets used in the book ``Categorical Data Analysis'' by Agresti (2012, ISBN:978-0-470-46363-5) but not printed in the book.

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    • [PDF File] cluster.datasets: Cluster Analysis Data Sets - The Comprehensive R ...

      http://5y1.org/file/13171/cluster-datasets-cluster-analysis-data-sets-the-comprehensive-r.pdf

      A data frame with 13 observations on the following 11 variables. symbol a character vector for name a character vector for. c.1 a numeric vector for a binary variable. A value 1 means the animal is in cluster 1 while 0 means that it is not in that cluster. c.2 a numeric vector for a binary variable.

      TAG: types of data sets in healthcare


    • [PDF File] wooldridge: 115 Data Sets from 'Introductory Econometrics: A …

      http://5y1.org/file/13171/wooldridge-115-data-sets-from-introductory-econometrics-a.pdf

      further analysis and research. If one needs an introduction to R model syntax, a vignette contains solutions to examples from chapters of the text. Data sets are from the 7th edition (Wooldridge 2020, ISBN-13 978-1-337-55886-0), and are backwards compatible with all previous versions of the text. Depends R (>= 3.5.0) License GPL-3 Encoding UTF-8

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    • [PDF File] Merge/Append Data using R/Rstudio - Princeton University

      http://5y1.org/file/13171/merge-append-data-using-r-rstudio-princeton-university.pdf

      Merge– adds variables to a dataset. This document will use –merge– function. Merging two datasets require that both have at least one variable in common (either string or numeric). If string make sure the categories have the same spelling (i.e. country names, etc.). Explore each dataset separately before merging.

      TAG: quantitative data sets for analysis


    • [PDF File] insuranceData: A Collection of Insurance Datasets Useful in Risk ...

      http://5y1.org/file/13171/insurancedata-a-collection-of-insurance-datasets-useful-in-risk.pdf

      Title A Collection of Insurance Datasets Useful in Risk Classification in Non-life Insurance. Version 1.0 Date 2014-09-04 Author Alicja Wolny--Dominiak and Michal Trzesiok Maintainer Alicja Wolny--Dominiak <alicja.wolny-dominiak@ue.katowice.pl> Description Insurance datasets, which are often used in claims severity and claims frequency mod-elling.

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    • [PDF File] Clinical Trial Datasets (CDISC - SDTM/ADaM) Using R

      http://5y1.org/file/13171/clinical-trial-datasets-cdisc-sdtm-adam-using-r.pdf

      The ability for R to create clinical trial datasets can be looked as a potential alternative, cost effective way compared to existing methods. Also, R code can be easily integrated with data visualization tools like R-Shiny. Some of the challenges faced during R programming are R’s inability to provide a detailed log and the inability to

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    • [PDF File] Ecdat: Data Sets for Econometrics - The Comprehensive R Archive …

      http://5y1.org/file/13171/ecdat-data-sets-for-econometrics-the-comprehensive-r-archive.pdf

      Depends R (>= 3.5.0), Ecfun Suggests plm, systemfit, carData, wooldridge Description Data sets for econometrics, including political science. LazyData true License GPL (>= 2) Language en-us URL https://www.r-project.org NeedsCompilation no Repository CRAN Date/Publication 2022-10-16 00:26:31 UTC R topics documented:

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    • [PDF File] AER: Applied Econometrics with R

      http://5y1.org/file/13171/aer-applied-econometrics-with-r.pdf

      Package ‘AER’ February 3, 2024 Version 1.2-12 Date 2024-02-02 Title Applied Econometrics with R Description Functions, data sets, examples, demos, and vignettes for the book

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    • [PDF File] Statistics Using R with Biological Examples

      http://5y1.org/file/13171/statistics-using-r-with-biological-examples.pdf

      The Basics of R (Ch 2 – 5) This section presents an orientation to using R. Chapter 2 introduces the R system and provides guidelines for downloading R and obtaining and installing packages. Chapter 3 introduces how to work with data in R, including how to manipulate data, how to save and import/export datasets, and how to get help.

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    • [PDF File] dataCompareR: Compare Two Data Frames and Summarise the …

      http://5y1.org/file/13171/datacomparer-compare-two-data-frames-and-summarise-the.pdf

      October 13, 2022. Title Compare Two Data Frames and Summarise the Difference Version 0.1.4 Description Easy comparison of two tabular data objects in R. Specifically designed to show differences between two sets of data in a useful way that should make it easier to understand the differences, and if necessary, help you work out how to remedy them.

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    • [PDF File] Analysis of Epidemiological Data using R and Epicalc

      http://5y1.org/file/13171/analysis-of-epidemiological-data-using-r-and-epicalc.pdf

      This book is essentially about learning R with an emphasis on Epicalc. Readers should have some background in basic computer usage. With R, Epicalc and the supplied datasets, the users should be able to go through each lesson learning the concepts of data management, related statistical theories and the practice of data analysis and powerful ...

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