Showing 149 of total 149 results (show query)
lbraglia
aprean3:Datasets from Draper and Smith "Applied Regression Analysis" (3rd Ed., 1998)
An unofficial companion to the textbook "Applied Regression Analysis" by N.R. Draper and H. Smith (3rd Ed., 1998) including all the accompanying datasets.
Maintained by Luca Braglia. Last updated 9 years ago.
448.2 match 2 stars 4.20 score 157 scripts
yelleknek
AMCP:A Model Comparison Perspective
Accompanies "Designing experiments and analyzing data: A model comparison perspective" (3rd ed.) by Maxwell, Delaney, & Kelley (2018; Routledge). Contains all of the data sets in the book's chapters and end-of-chapter exercises. Information about the book is available at <http://www.DesigningExperiments.com>.
Maintained by Ken Kelley. Last updated 5 years ago.
439.3 match 3.91 score 162 scripts
tingtingzhan
DanielBiostatistics10th:Functions for Wayne W. Daniel's Biostatistics, Tenth Edition
Functions to accompany Wayne W. Daniel's Biostatistics: A Foundation for Analysis in the Health Sciences, Tenth Edition.
Maintained by Tingting Zhan. Last updated 5 months ago.
530.8 match 2.33 score 27 scripts
dwarton
ecostats:Code and Data Accompanying the Eco-Stats Text (Warton 2022)
Functions and data supporting the Eco-Stats text (Warton, 2022, Springer), and solutions to exercises. Functions include tools for using simulation envelopes in diagnostic plots, and a function for diagnostic plots of multivariate linear models. Datasets mentioned in the package are included here (where not available elsewhere) and there is a vignette for each chapter of the text with solutions to exercises.
Maintained by David Warton. Last updated 1 years ago.
185.9 match 8 stars 6.58 score 53 scripts
profpetrie
regclass:Tools for an Introductory Class in Regression and Modeling
Contains basic tools for visualizing, interpreting, and building regression models. It has been designed for use with the book Introduction to Regression and Modeling with R by Adam Petrie, Cognella Publishers, ISBN: 978-1-63189-250-9 <https://titles.cognella.com/introduction-to-regression-and-modeling-with-r-9781631892509>.
Maintained by Adam Petrie. Last updated 5 years ago.
66.4 match 3.90 score 301 scripts 1 dependents
jun-yan
KMsurv:Data sets from Klein and Moeschberger (1997), Survival Analysis
Data sets and functions for Klein and Moeschberger (1997), "Survival Analysis, Techniques for Censored and Truncated Data", Springer.
Maintained by Jun Yan. Last updated 12 years ago.
32.4 match 6.91 score 227 scripts 58 dependents
mjg211
phaseR:Phase Plane Analysis of One- And Two-Dimensional Autonomous ODE Systems
Performs a qualitative analysis of one- and two-dimensional autonomous ordinary differential equation systems, using phase plane methods. Programs are available to identify and classify equilibrium points, plot the direction field, and plot trajectories for multiple initial conditions. In the one-dimensional case, a program is also available to plot the phase portrait. Whilst in the two-dimensional case, programs are additionally available to plot nullclines and stable/unstable manifolds of saddle points. Many example systems are provided for the user. For further details can be found in Grayling (2014) <doi:10.32614/RJ-2014-023>.
Maintained by Michael J Grayling. Last updated 3 years ago.
biological-modelingdifferential-equationsdynamical-systemsecological-modellinglotka-volterramanifoldsmodeling-dynamic-systemsmorris-lecarperturbation-analysisphase-planesir-modelspecies-interactionsvan-der-pol
26.0 match 15 stars 6.63 score 94 scripts 1 dependents
zeileis
exams:Automatic Generation of Exams in R
Automatic generation of exams based on exercises in Markdown or LaTeX format, possibly including R code for dynamic generation of exercise elements. Exercise types include single-choice and multiple-choice questions, arithmetic problems, string questions, and combinations thereof (cloze). Output formats include standalone files (PDF, HTML, Docx, ODT, ...), Moodle XML, QTI 1.2, QTI 2.1, Blackboard, Canvas, OpenOlat, ILIAS, TestVision, Particify, ARSnova, Kahoot!, Grasple, and TCExam. In addition to fully customizable PDF exams, a standardized PDF format (NOPS) is provided that can be printed, scanned, and automatically evaluated.
Maintained by Achim Zeileis. Last updated 3 days ago.
19.0 match 1 stars 8.27 score 872 scripts 5 dependents
rcalinjageman
esci:Estimation Statistics with Confidence Intervals
A collection of functions and 'jamovi' module for the estimation approach to inferential statistics, the approach which emphasizes effect sizes, interval estimates, and meta-analysis. Nearly all functions are based on 'statpsych' and 'metafor'. This package is still under active development, and breaking changes are likely, especially with the plot and hypothesis test functions. Data sets are included for all examples from Cumming & Calin-Jageman (2024) <ISBN:9780367531508>.
Maintained by Robert Calin-Jageman. Last updated 22 days ago.
jamovijaspsciencestatisticsvisualization
26.8 match 22 stars 5.42 score 12 scripts
dankelley
oce:Analysis of Oceanographic Data
Supports the analysis of Oceanographic data, including 'ADCP' measurements, measurements made with 'argo' floats, 'CTD' measurements, sectional data, sea-level time series, coastline and topographic data, etc. Provides specialized functions for calculating seawater properties such as potential temperature in either the 'UNESCO' or 'TEOS-10' equation of state. Produces graphical displays that conform to the conventions of the Oceanographic literature. This package is discussed extensively by Kelley (2018) "Oceanographic Analysis with R" <doi:10.1007/978-1-4939-8844-0>.
Maintained by Dan Kelley. Last updated 1 days ago.
8.8 match 146 stars 15.42 score 4.2k scripts 18 dependents
ropensci
spiro:Manage Data from Cardiopulmonary Exercise Testing
Import, process, summarize and visualize raw data from metabolic carts. See Robergs, Dwyer, and Astorino (2010) <doi:10.2165/11319670-000000000-00000> for more details on data processing.
Maintained by Simon Nolte. Last updated 25 days ago.
20.0 match 13 stars 6.35 score 43 scripts
josesamos
rexer:Random Exercises and Exams Generator
The main purpose of this package is to streamline the generation of exams that include random elements in exercises. Exercises can be defined in a table, based on text and figures, and may contain gaps to be filled with provided options. Exam documents can be generated in various formats. It allows us to generate a version for conducting the assessment and another version that facilitates correction, linked through a code.
Maintained by Jose Samos. Last updated 1 years ago.
30.1 match 4.00 score 4 scripts
r-forge
mlogit:Multinomial Logit Models
Maximum Likelihood estimation of random utility discrete choice models, as described in Kenneth Train (2009) Discrete Choice Methods with Simulations <doi:10.1017/CBO9780511805271>.
Maintained by Yves Croissant. Last updated 5 years ago.
12.1 match 9.81 score 1.2k scripts 14 dependents
alanarnholt
BSDA:Basic Statistics and Data Analysis
Data sets for book "Basic Statistics and Data Analysis" by Larry J. Kitchens.
Maintained by Alan T. Arnholt. Last updated 2 years ago.
11.0 match 7 stars 9.11 score 1.3k scripts 6 dependents
skranz
RTutor:Interactive R problem sets with automatic testing of solutions and automatic hints
Interactive R problem sets with automatic testing of solutions and automatic hints
Maintained by Sebastian Kranz. Last updated 1 years ago.
economicslearn-to-codeproblem-setrstudiortutorshinyteaching
11.9 match 205 stars 5.83 score 111 scripts 1 dependents
bioc
snpStats:SnpMatrix and XSnpMatrix classes and methods
Classes and statistical methods for large SNP association studies. This extends the earlier snpMatrix package, allowing for uncertainty in genotypes.
Maintained by David Clayton. Last updated 5 months ago.
microarraysnpgeneticvariabilityzlib
7.2 match 9.41 score 674 scripts 17 dependents
vandomed
accelerometry:Functions for Processing Accelerometer Data
A collection of functions that perform operations on time-series accelerometer data, such as identify non-wear time, flag minutes that are part of an activity bout, and find the maximum 10-minute average count value. The functions are generally very flexible, allowing for a variety of algorithms to be implemented. Most of the functions are written in C++ for efficiency.
Maintained by Dane R. Van Domelen. Last updated 6 years ago.
accelerometerexercisemoving-averagephysical-activitysedentary-lifewearable-devicescpp
10.0 match 6 stars 6.62 score 31 scripts 5 dependents
remlapmot
knitexercise:Knit Exercise Questions and Solutions from the Same R Markdown Document
Provides a function to knit questions and solutions documents from the same R Markdown document.
Maintained by Tom Palmer. Last updated 23 days ago.
14.5 match 1 stars 3.81 score 1 scripts
vabar
vibass:Valencia International Bayesian Summer School
Materials for the introductory course on Bayesian inference. Practicals, data and interactive apps.
Maintained by Facundo Muñoz. Last updated 8 months ago.
9.3 match 7 stars 5.40 score 2 scriptsbioc
MAST:Model-based Analysis of Single Cell Transcriptomics
Methods and models for handling zero-inflated single cell assay data.
Maintained by Andrew McDavid. Last updated 5 months ago.
geneexpressiondifferentialexpressiongenesetenrichmentrnaseqtranscriptomicssinglecell
4.0 match 230 stars 12.75 score 1.8k scripts 5 dependents
tidyverse
ggplot2:Create Elegant Data Visualisations Using the Grammar of Graphics
A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.
Maintained by Thomas Lin Pedersen. Last updated 9 days ago.
data-visualisationvisualisation
2.0 match 6.6k stars 25.10 score 645k scripts 7.5k dependents
cjgeyer
CatDataAnalysis:Datasets for Categorical Data Analysis by Agresti
Datasets used in the book "Categorical Data Analysis" by Agresti (2012, ISBN:978-0-470-46363-5) but not printed in the book. Datasets and help pages were automatically produced from the source <https://users.stat.ufl.edu/~aa/cda/data.html> by the R script foo.R, which can be found in the GitHub repository.
Maintained by Charles J. Geyer. Last updated 3 years ago.
48.2 match 1.00 score 5 scripts
rdatatable
data.table:Extension of `data.frame`
Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns, friendly and fast character-separated-value read/write. Offers a natural and flexible syntax, for faster development.
Maintained by Tyson Barrett. Last updated 2 days ago.
2.0 match 3.7k stars 23.53 score 230k scripts 4.6k dependentszeileis
exams2forms:Embedding 'exams' Exercises as Forms in 'rmarkdown' or 'quarto' Documents
Automatic generation of quizzes or individual questions as (interactive) forms within 'rmarkdown' or 'quarto' documents based on 'R/exams' exercises.
Maintained by Achim Zeileis. Last updated 3 days ago.
9.6 match 1 stars 4.65 score 9 scripts
ppbds
tutorial.helpers:Helper Functions for Creating Tutorials
Helper functions for creating, editing, and testing tutorials created with the 'learnr' package. Provides a simple method for allowing students to download their answers to tutorial questions. For examples of its use, see the 'r4ds.tutorials' package.
Maintained by David Kane. Last updated 4 days ago.
5.2 match 5 stars 8.48 score 152 scripts 1 dependentsr-forge
carData:Companion to Applied Regression Data Sets
Datasets to Accompany J. Fox and S. Weisberg, An R Companion to Applied Regression, Third Edition, Sage (2019).
Maintained by John Fox. Last updated 5 months ago.
3.5 match 12.41 score 944 scripts 919 dependents
pacificcommunity
AMPLE:Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. 'Introduction to HCRs' provides a simple overview to how HCRs work. Users are able to select their own HCR and step through its performance, year by year. Biological variability and estimation uncertainty are introduced. 'Measuring performance' builds on the previous app and introduces the idea of using performance indicators to measure HCR performance. 'Comparing performance' allows multiple HCRs to be created and tested, and their performance compared so that the preferred HCR can be selected.
Maintained by Finlay Scott. Last updated 1 years ago.
7.7 match 5.56 score 24 scripts
jenniniku
gllvm:Generalized Linear Latent Variable Models
Analysis of multivariate data using generalized linear latent variable models (gllvm). Estimation is performed using either the Laplace method, variational approximations, or extended variational approximations, implemented via TMB (Kristensen et al. (2016), <doi:10.18637/jss.v070.i05>).
Maintained by Jenni Niku. Last updated 12 hours ago.
4.0 match 52 stars 10.53 score 176 scripts 1 dependents
cran
ragtop:Pricing Equity Derivatives with Extensions of Black-Scholes
Algorithms to price American and European equity options, convertible bonds and a variety of other financial derivatives. It uses an extension of the usual Black-Scholes model in which jump to default may occur at a probability specified by a power-law link between stock price and hazard rate as found in the paper by Takahashi, Kobayashi, and Nakagawa (2001) <doi:10.3905/jfi.2001.319302>. We use ideas and techniques from Andersen and Buffum (2002) <doi:10.2139/ssrn.355308> and Linetsky (2006) <doi:10.1111/j.1467-9965.2006.00271.x>.
Maintained by Brian K. Boonstra. Last updated 5 years ago.
15.4 match 2.70 scoreropensci
stats19:Work with Open Road Traffic Casualty Data from Great Britain
Tools to help download, process and analyse the UK road collision data collected using the 'STATS19' form. The datasets are provided as 'CSV' files with detailed road safety information about the circumstances of car crashes and other incidents on the roads resulting in casualties in Great Britain from 1979 to present. Tables are available on 'colissions' with the circumstances (e.g. speed limit of road), information about 'vehicles' involved (e.g. type of vehicle), and 'casualties' (e.g. age). The statistics relate only to events on public roads that were reported to the police, and subsequently recorded, using the 'STATS19' collision reporting form. See the Department for Transport website <https://www.data.gov.uk/dataset/cb7ae6f0-4be6-4935-9277-47e5ce24a11f/road-accidents-safety-data> for more information on these datasets. The package is described in a paper in the Journal of Open Source Software (Lovelace et al. 2019) <doi:10.21105/joss.01181>. See Gilardi et al. (2022) <doi:10.1111/rssa.12823>, Vidal-Tortosa et al. (2021) <doi:10.1016/j.jth.2021.101291>, and Tait et al. (2023) <doi:10.1016/j.aap.2022.106895> for examples of how the data can be used for methodological and empirical road safety research.
Maintained by Robin Lovelace. Last updated 2 months ago.
stats19road-safetytransportcar-crashesropenscidata
4.3 match 64 stars 9.20 score 193 scripts
jeffreyhanson
raptr:Representative and Adequate Prioritization Toolkit in R
Biodiversity is in crisis. The overarching aim of conservation is to preserve biodiversity patterns and processes. To this end, protected areas are established to buffer species and preserve biodiversity processes. But resources are limited and so protected areas must be cost-effective. This package contains tools to generate plans for protected areas (prioritizations), using spatially explicit targets for biodiversity patterns and processes. To obtain solutions in a feasible amount of time, this package uses the commercial 'Gurobi' software (obtained from <https://www.gurobi.com/>). For more information on using this package, see Hanson et al. (2018) <doi:10.1111/2041-210X.12862>.
Maintained by Jeffrey O Hanson. Last updated 1 years ago.
7.1 match 8 stars 5.52 score 83 scripts
statmanrobin
Stat2Data:Datasets for Stat2
Datasets for the textbook Stat2: Modeling with Regression and ANOVA (second edition). The package also includes data for the first edition, Stat2: Building Models for a World of Data and a few functions for plotting diagnostics.
Maintained by Robin Lock. Last updated 6 years ago.
7.8 match 5 stars 4.94 score 544 scripts
rudeboybert
resampledata:Data Sets for Mathematical Statistics with Resampling in R
Package of data sets from "Mathematical Statistics with Resampling in R" (1st Ed. 2011, 2nd Ed. 2018) by Laura Chihara and Tim Hesterberg.
Maintained by Albert Y. Kim. Last updated 4 months ago.
7.3 match 15 stars 5.15 score 187 scripts
jlaake
RMark:R Code for Mark Analysis
An interface to the software package MARK that constructs input files for MARK and extracts the output. MARK was developed by Gary White and is freely available at <http://www.phidot.org/software/mark/downloads/> but is not open source.
Maintained by Jeff Laake. Last updated 3 years ago.
7.5 match 4.90 score 366 scripts 4 dependents
wviechtb
metadat:Meta-Analysis Datasets
A collection of meta-analysis datasets for teaching purposes, illustrating/testing meta-analytic methods, and validating published analyses.
Maintained by Wolfgang Viechtbauer. Last updated 2 days ago.
3.4 match 30 stars 10.54 score 65 scripts 93 dependents
r-lib
cpp11:A C++11 Interface for R's C Interface
Provides a header only, C++11 interface to R's C interface. Compared to other approaches 'cpp11' strives to be safe against long jumps from the C API as well as C++ exceptions, conform to normal R function semantics and supports interaction with 'ALTREP' vectors.
Maintained by Davis Vaughan. Last updated 12 days ago.
2.0 match 212 stars 17.69 score 104 scripts 8.6k dependents
gitumino
fitPoly:Genotype Calling for Bi-Allelic Marker Assays
Genotyping assays for bi-allelic markers (e.g. SNPs) produce signal intensities for the two alleles. 'fitPoly' assigns genotypes (allele dosages) to a collection of polyploid samples based on these signal intensities. 'fitPoly' replaces the older package 'fitTetra' that was limited (a.o.) to only tetraploid populations whereas 'fitPoly' accepts any ploidy level. Reference: Voorrips RE, Gort G, Vosman B (2011) <doi:10.1186/1471-2105-12-172>. New functions added on conversion of data from SNP array software formats, drawing of XY-scatterplots with or without genotype colors, checking against expected F1 segregation patterns, comparing results from two different assays (probes) for the same SNP, recovery from a saveMarkerModels() crash.
Maintained by Giorgio Tumino. Last updated 1 months ago.
8.3 match 4.13 score 15 scripts
hadley
lazyeval:Lazy (Non-Standard) Evaluation
An alternative approach to non-standard evaluation using formulas. Provides a full implementation of LISP style 'quasiquotation', making it easier to generate code with other code.
Maintained by Hadley Wickham. Last updated 3 years ago.
2.0 match 131 stars 15.74 score 520 scripts 1.8k dependents
stan-dev
rstanarm:Bayesian Applied Regression Modeling via Stan
Estimates previously compiled regression models using the 'rstan' package, which provides the R interface to the Stan C++ library for Bayesian estimation. Users specify models via the customary R syntax with a formula and data.frame plus some additional arguments for priors.
Maintained by Ben Goodrich. Last updated 9 months ago.
bayesianbayesian-data-analysisbayesian-inferencebayesian-methodsbayesian-statisticsmultilevel-modelsrstanrstanarmstanstatistical-modelingcpp
2.0 match 393 stars 15.68 score 5.0k scripts 13 dependents
florianhartig
DHARMa:Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models
The 'DHARMa' package uses a simulation-based approach to create readily interpretable scaled (quantile) residuals for fitted (generalized) linear mixed models. Currently supported are linear and generalized linear (mixed) models from 'lme4' (classes 'lmerMod', 'glmerMod'), 'glmmTMB', 'GLMMadaptive', and 'spaMM'; phylogenetic linear models from 'phylolm' (classes 'phylolm' and 'phyloglm'); generalized additive models ('gam' from 'mgcv'); 'glm' (including 'negbin' from 'MASS', but excluding quasi-distributions) and 'lm' model classes. Moreover, externally created simulations, e.g. posterior predictive simulations from Bayesian software such as 'JAGS', 'STAN', or 'BUGS' can be processed as well. The resulting residuals are standardized to values between 0 and 1 and can be interpreted as intuitively as residuals from a linear regression. The package also provides a number of plot and test functions for typical model misspecification problems, such as over/underdispersion, zero-inflation, and residual spatial, phylogenetic and temporal autocorrelation.
Maintained by Florian Hartig. Last updated 12 days ago.
glmmregressionregression-diagnosticsresidual
2.0 match 226 stars 14.74 score 2.8k scripts 10 dependents
winvector
cdata:Fluid Data Transformations
Supplies higher-order coordinatized data specification and fluid transform operators that include pivot and anti-pivot as special cases. The methodology is describe in 'Zumel', 2018, "Fluid data reshaping with 'cdata'", <https://winvector.github.io/FluidData/FluidDataReshapingWithCdata.html> , <DOI:10.5281/zenodo.1173299> . This package introduces the idea of explicit control table specification of data transforms. Works on in-memory data or on remote data using 'rquery' and 'SQL' database interfaces.
Maintained by John Mount. Last updated 6 months ago.
3.8 match 46 stars 7.82 score 71 scripts 1 dependents
jangraffelman
calibrate:Calibration of Scatterplot and Biplot Axes
Package for drawing calibrated scales with tick marks on (non-orthogonal) variable vectors in scatterplots and biplots. Also provides some functions for biplot creation and for multivariate analysis such as principal coordinate analysis.
Maintained by Jan Graffelman. Last updated 5 years ago.
3.8 match 1 stars 7.73 score 784 scripts 35 dependents
adokter
bioRad:Biological Analysis and Visualization of Weather Radar Data
Extract, visualize and summarize aerial movements of birds and insects from weather radar data. See Dokter, A. M. et al. (2018) "bioRad: biological analysis and visualization of weather radar data" <doi:10.1111/ecog.04028> for a software paper describing package and methodologies.
Maintained by Adriaan M. Dokter. Last updated 20 days ago.
aeroecologyenrameumetnet-operalifewatchmovement-ecologynexradoscibioradarweather-radarwsr-88d
3.3 match 29 stars 8.65 score 56 scripts
sigbertklinke
exams.forge:Support for Compiling Examination Tasks using the 'exams' Package
The main aim is to further facilitate the creation of exercises based on the package 'exams' by Grün, B., and Zeileis, A. (2009) <doi:10.18637/jss.v029.i10>. Creating effective student exercises involves challenges such as creating appropriate data sets and ensuring access to intermediate values for accurate explanation of solutions. The functionality includes the generation of univariate and bivariate data including simple time series, functions for theoretical distributions and their approximation, statistical and mathematical calculations for tasks in basic statistics courses as well as general tasks such as string manipulation, LaTeX/HTML formatting and the editing of XML task files for 'Moodle'.
Maintained by Sigbert Klinke. Last updated 8 months ago.
10.6 match 2.70 score 1 scripts
famuvie
breedR:Statistical Methods for Forest Genetic Resources Analysts
Statistical tools to build predictive models for the breeders community. It aims to assess the genetic value of individuals under a number of situations, including spatial autocorrelation, genetic/environment interaction and competition. It is under active development as part of the Trees4Future project, particularly developed having forest genetic trials in mind. But can be used for animals or other situations as well.
Maintained by Facundo Muñoz. Last updated 8 months ago.
5.2 match 33 stars 5.44 score 24 scripts
blaserlab
datascience.curriculum:Data Science 2023
What the package does (one paragraph).
Maintained by Brad Blaser. Last updated 2 years ago.
8.0 match 1 stars 3.30 score 8 scripts
kenaho1
asbio:A Collection of Statistical Tools for Biologists
Contains functions from: Aho, K. (2014) Foundational and Applied Statistics for Biologists using R. CRC/Taylor and Francis, Boca Raton, FL, ISBN: 978-1-4398-7338-0.
Maintained by Ken Aho. Last updated 2 months ago.
3.6 match 5 stars 7.32 score 310 scripts 3 dependentscran
CGE:Computing General Equilibrium
Developing general equilibrium models, computing general equilibrium and simulating economic dynamics with structural dynamic models in LI (2019, ISBN: 9787521804225) "General Equilibrium and Structural Dynamics: Perspectives of New Structural Economics. Beijing: Economic Science Press". When developing complex general equilibrium models, GE package should be used in addition to this package.
Maintained by LI Wu. Last updated 5 years ago.
10.6 match 2.48 score 1 dependentsbioc
chopsticks:The 'snp.matrix' and 'X.snp.matrix' Classes
Implements classes and methods for large-scale SNP association studies
Maintained by Hin-Tak Leung. Last updated 3 months ago.
microarraysnpsandgeneticvariabilitysnpgeneticvariability
7.2 match 3.48 score 5 scripts
data-cleaning
dcmodify:Modify Data Using Externally Defined Modification Rules
Data cleaning scripts typically contain a lot of 'if this change that' type of statements. Such statements are typically condensed expert knowledge. With this package, such 'data modifying rules' are taken out of the code and become in stead parameters to the work flow. This allows one to maintain, document, and reason about data modification rules as separate entities.
Maintained by Mark van der Loo. Last updated 9 months ago.
4.0 match 10 stars 6.24 score 58 scripts
middleton-lab
abd:The Analysis of Biological Data
The abd package contains data sets and sample code for The Analysis of Biological Data by Michael Whitlock and Dolph Schluter (2009; Roberts & Company Publishers).
Maintained by Kevin M. Middleton. Last updated 11 months ago.
4.5 match 6 stars 5.53 score 182 scripts 1 dependents
rchlumsk
RavenR:Raven Hydrological Modelling Framework R Support and Analysis
Utilities for processing input and output files associated with the Raven Hydrological Modelling Framework. Includes various plotting functions, model diagnostics, reading output files into extensible time series format, and support for writing Raven input files. The 'RavenR' package is also archived at Chlumsky et al. (2020) <doi:10.5281/zenodo.4248183>. The Raven Hydrologic Modelling Framework method can be referenced with Craig et al. (2020) <doi:10.1016/j.envsoft.2020.104728>.
Maintained by Robert Chlumsky. Last updated 4 months ago.
diagnosticshydrologymodelingmodellingvisualizationwaterwater-resourceswatershedcpp
3.5 match 36 stars 7.06 score 20 scripts
mkossmeier
metaviz:Forest Plots, Funnel Plots, and Visual Funnel Plot Inference for Meta-Analysis
A compilation of functions to create visually appealing and information-rich plots of meta-analytic data using 'ggplot2'. Currently allows to create forest plots, funnel plots, and many of their variants, such as rainforest plots, thick forest plots, additional evidence contour funnel plots, and sunset funnel plots. In addition, functionalities for visual inference with the funnel plot in the context of meta-analysis are provided.
Maintained by Michael Kossmeier. Last updated 5 years ago.
3.3 match 17 stars 7.32 score 135 scripts
r-forge
Sleuth2:Data Sets from Ramsey and Schafer's "Statistical Sleuth (2nd Ed)"
Data sets from Ramsey, F.L. and Schafer, D.W. (2002), "The Statistical Sleuth: A Course in Methods of Data Analysis (2nd ed)", Duxbury.
Maintained by Berwin A Turlach. Last updated 1 years ago.
4.0 match 5.70 score 191 scripts
jienagu
forestry:Reshape Data Tree
'forestry' a series of utility functions to help with reshaping hierarchy of data tree, and reform the structure of data tree.
Maintained by Jiena McLellan. Last updated 5 years ago.
3.8 match 21 stars 5.66 score 44 scripts
agbarnett
season:Seasonal Analysis of Health Data
Routines for the seasonal analysis of health data, including regression models, time-stratified case-crossover, plotting functions and residual checks, see Barnett and Dobson (2010) ISBN 978-3-642-10748-1. Thanks to Yuming Guo for checking the case-crossover code.
Maintained by Adrian Barnett. Last updated 3 years ago.
3.6 match 2 stars 5.85 score 70 scripts
msperlin
pafdR:Book Companion for Processing and Analyzing Financial Data with R
Provides access to material from the book "Processing and Analyzing Financial Data with R" by Marcelo Perlin (2017) available at <https://sites.google.com/view/pafdr/home>.
Maintained by Marcelo Perlin. Last updated 8 years ago.
9.7 match 2.08 score 12 scripts
psyteachr
webexercises:Create Interactive Web Exercises in 'R Markdown' (Formerly 'webex')
Functions for easily creating interactive web pages using 'R Markdown' that students can use in self-guided learning.
Maintained by Lisa DeBruine. Last updated 2 years ago.
2.8 match 32 stars 6.86 score 458 scriptscran
epiDisplay:Epidemiological Data Display Package
Package for data exploration and result presentation. Full 'epicalc' package with data management functions is available at '<https://medipe.psu.ac.th/epicalc/>'.
Maintained by Virasakdi Chongsuvivatwong. Last updated 3 years ago.
3.5 match 1 stars 5.44 score 758 scripts 2 dependents
markvanderloo
settings:Software Option Settings Manager for R
Provides option settings management that goes beyond R's default 'options' function. With this package, users can define their own option settings manager holding option names, default values and (if so desired) ranges or sets of allowed option values that will be automatically checked. Settings can then be retrieved, altered and reset to defaults with ease. For R programmers and package developers it offers cloning and merging functionality which allows for conveniently defining global and local options, possibly in a multilevel options hierarchy. See the package vignette for some examples concerning functions, S4 classes, and reference classes. There are convenience functions to reset par() and options() to their 'factory defaults'.
Maintained by Mark van der Loo. Last updated 9 months ago.
2.0 match 7 stars 9.32 score 1.0k scripts 36 dependentscran
mpt:Multinomial Processing Tree Models
Fitting and testing multinomial processing tree (MPT) models, a class of nonlinear models for categorical data. The parameters are the link probabilities of a tree-like graph and represent the latent cognitive processing steps executed to arrive at observable response categories (Batchelder & Riefer, 1999 <doi:10.3758/bf03210812>; Erdfelder et al., 2009 <doi:10.1027/0044-3409.217.3.108>; Riefer & Batchelder, 1988 <doi:10.1037/0033-295x.95.3.318>).
Maintained by Florian Wickelmaier. Last updated 5 months ago.
9.1 match 2.00 score
learnitr
learnitdown:R Markdown, Bookdown and Learnr Additions for Learning Material
Extension to R Markdown, Bookdown and Learnr for building better learning and e-learning material: H5P integration, course-contextual divs, differed loading of Shiny and learnr applications, and much more ...
Maintained by Philippe Grosjean. Last updated 6 months ago.
bookdownlearning-resourcesr-markdownteaching-materials
3.5 match 13 stars 4.49 score 16 scripts
joshuaulrich
IBrokers:R API to Interactive Brokers Trader Workstation
Provides native R access to Interactive Brokers Trader Workstation API.
Maintained by Joshua M. Ulrich. Last updated 6 months ago.
2.0 match 69 stars 7.59 score 93 scripts
luisagi
enmpa:Ecological Niche Modeling using Presence-Absence Data
A set of tools to perform Ecological Niche Modeling with presence-absence data. It includes algorithms for data partitioning, model fitting, calibration, evaluation, selection, and prediction. Other functions help to explore signals of ecological niche using univariate and multivariate analyses, and model features such as variable response curves and variable importance. Unique characteristics of this package are the ability to exclude models with concave quadratic responses, and the option to clamp model predictions to specific variables. These tools are implemented following principles proposed in Cobos et al., (2022) <doi:10.17161/bi.v17i.15985>, Cobos et al., (2019) <doi:10.7717/peerj.6281>, and Peterson et al., (2008) <doi:10.1016/j.ecolmodel.2007.11.008>.
Maintained by Luis F. Arias-Giraldo. Last updated 3 months ago.
3.4 match 5 stars 4.35 score 5 scriptscran
metaplus:Robust Meta-Analysis and Meta-Regression
Performs meta-analysis and meta-regression using standard and robust methods with confidence intervals based on the profile likelihood. Robust methods are based on alternative distributions for the random effect, either the t-distribution (Lee and Thompson, 2008 <doi:10.1002/sim.2897> or Baker and Jackson, 2008 <doi:10.1007/s10729-007-9041-8>) or mixtures of normals (Beath, 2014 <doi:10.1002/jrsm.1114>).
Maintained by Ken Beath. Last updated 2 months ago.
3.8 match 3.96 score 34 scripts
nutriverse
anthrocheckr:Anthropometric Measurement Standardisation Tests
Ensuring the precision and accuracy of measurements is critical when collecting anthropometric data. Anthropometrists are usually tested for precision and accuracy of measurement through standardisation tests performed prior to anthropometric data collection. This package provides functions to calculate inter- and intra-observer technical error of measurement (TEM) to assess precision of measurements.
Maintained by Ernest Guevarra. Last updated 3 months ago.
3.4 match 4 stars 4.26 score 5 scripts
pachadotdev
tradepolicy:Replication of 'An Advanced Guide To Trade Policy Analysis'
Datasets from Yotov, et al. (2016) <isbn:978-92-870-4367-2> (An Advanced Guide to Trade Policy Analysis) and functions to report regression summaries with clustered robust standard errors.
Maintained by Mauricio Vargas Sepulveda. Last updated 12 months ago.
3.5 match 6 stars 4.06 score 19 scripts
daphnaharel
sur:Companion to "Statistics Using R: An Integrative Approach"
Access to the datasets and many of the functions used in "Statistics Using R: An Integrative Approach". These datasets include a subset of the National Education Longitudinal Study, the Framingham Heart Study, as well as several simulated datasets used in the examples throughout the textbook. The functions included in the package reproduce some of the functionality of 'Stata' that is not directly available in 'R'. The package also contains a tutorial on basic data frame management, including how to handle missing data.
Maintained by Daphna Harel. Last updated 5 years ago.
11.1 match 1.26 score 18 scriptsstatmanrobin
Lock5Data:Datasets for "Statistics: UnLocking the Power of Data"
Datasets for the third edition of "Statistics: Unlocking the Power of Data" by Lock^5 Includes version of datasets from earlier editions.
Maintained by Robin Lock. Last updated 4 years ago.
4.5 match 2.90 score 322 scriptsbioc
MLInterfaces:Uniform interfaces to R machine learning procedures for data in Bioconductor containers
This package provides uniform interfaces to machine learning code for data in R and Bioconductor containers.
Maintained by Vincent Carey. Last updated 5 months ago.
1.7 match 7.63 score 79 scripts 6 dependents
remkoduursma
lgrdata:Example Datasets for a Learning Guide to R
A largish collection of example datasets, including several classics. Many of these datasets are well suited for regression, classification, and visualization.
Maintained by Remko Duursma. Last updated 6 years ago.
4.0 match 3.11 score 26 scripts
hdarjus
exams.mylearn:Question Generation in the 'MyLearn' XML Format
Randomized multiple-select and single-select question generation for the 'MyLearn' teaching and learning platform. Question templates in the form of the R/exams package (see <http://www.r-exams.org/>) are transformed into XML format required by 'MyLearn'.
Maintained by Darjus Hosszejni. Last updated 4 years ago.
3.0 match 2 stars 4.00 score
vinhdizzo
IRexamples:Collection of Practical Institutional Research Examples and Tutorials
Provides examples of code for analyzing data or accomplishing tasks that may be useful to institutional or educational researchers.
Maintained by Vinh Nguyen. Last updated 2 years ago.
2.4 match 4 stars 5.00 score 4 scripts
jorgedelro
MFO:Maximal Fat Oxidation and Kinetics Calculation
Calculate the maximal fat oxidation, the exercise intensity that elicits the maximal fat oxidation and the SIN model to represent the fat oxidation kinetics. Three variables can be obtained from the SIN model: dilatation, symmetry and translation. Examples of these methods can be found in Montes de Oca et al (2021) <doi:10.1080/17461391.2020.1788650> and Chenevière et al. (2009) <doi:10.1249/MSS.0b013e31819e2f91>.
Maintained by Jorge R Fernandez-Santos. Last updated 3 years ago.
4.3 match 2.70 score 2 scripts
aalborg-intelligence
aai:Functions, apps, exercises and other R related stuff used in "AI - Aalborg Intelligence"
Functions, apps, exercises and other R related stuff used in "AI - Aalborg Intelligence" The project (2020 - 2026) is supported by the Novo Nordisk Foundation to develop teaching material to be used in the Danish highschools to strengthen the understanding of AI while explaining how basic maths is used in the some popular AI methods.
Maintained by Ege Rubak. Last updated 2 years ago.
6.6 match 1 stars 1.70 score 1 scripts
argocanada
argoFloats:Analysis of Oceanographic Argo Floats
Supports the analysis of oceanographic data recorded by Argo autonomous drifting profiling floats. Functions are provided to (a) download and cache data files, (b) subset data in various ways, (c) handle quality-control flags and (d) plot the results according to oceanographic conventions. A shiny app is provided for easy exploration of datasets. The package is designed to work well with the 'oce' package, providing a wide range of processing capabilities that are particular to oceanographic analysis. See Kelley, Harbin, and Richards (2021) <doi:10.3389/fmars.2021.635922> for more on the scientific context and applications.
Maintained by Dan Kelley. Last updated 1 months ago.
1.5 match 17 stars 7.32 score 203 scripts
tdhock
atime:Asymptotic Timing
Computing and visualizing comparative asymptotic timings of different algorithms and code versions. Also includes functionality for comparing empirical timings with expected references such as linear or quadratic, <https://en.wikipedia.org/wiki/Asymptotic_computational_complexity> Also includes functionality for measuring asymptotic memory and other quantities.
Maintained by Toby Hocking. Last updated 2 months ago.
1.5 match 7 stars 7.31 score 95 scripts
canmod
macpan2:Fast and Flexible Compartmental Modelling
Fast and flexible compartmental modelling with Template Model Builder.
Maintained by Steve Walker. Last updated 2 days ago.
compartmental-modelsepidemiologyforecastingmixed-effectsmodel-fittingoptimizationsimulationsimulation-modelingcpp
1.2 match 4 stars 8.89 score 246 scripts 1 dependents
sammo3182
drhur:Learning R with Dr. Hu
Tutarials of R learning easily and happily.
Maintained by Yue Hu. Last updated 1 years ago.
1.8 match 18 stars 6.06 score 16 scriptsmarkvanderloo
accumulate:Split-Apply-Combine with Dynamic Groups
Estimate group aggregates, where one can set user-defined conditions that each group of records must satisfy to be suitable for aggregation. If a group of records is not suitable, it is expanded using a collapsing scheme defined by the user.
Maintained by Mark van der Loo. Last updated 1 months ago.
2.0 match 9 stars 5.26 score 3 scriptslearnitr
learnitprogress:Report Student Progress in 'LearnIt::R' Courses
A Shiny app that connects to you LRS ("Learning Record Store" database, as created and managed by the 'learnitdown' package) and displays a report showing the completion of exercices and projects. This report is intended for students to track their progress in the course.
Maintained by Philippe Grosjean. Last updated 6 months ago.
learning-analyticslearning-analytics-dashboardteaching-tools
3.4 match 3.00 score
ralmond
CPTtools:Tools for Creating Conditional Probability Tables
Provides support parameterized tables for Bayesian networks, particularly the IRT-like DiBello tables. Also, provides some tools for visualing the networks.
Maintained by Russell Almond. Last updated 3 months ago.
2.0 match 1 stars 5.05 score 21 scripts 4 dependents
robjhyndman
expsmooth:Data Sets from "Forecasting with Exponential Smoothing"
Data sets from the book "Forecasting with exponential smoothing: the state space approach" by Hyndman, Koehler, Ord and Snyder (Springer, 2008).
Maintained by Rob Hyndman. Last updated 2 years ago.
1.3 match 14 stars 7.53 score 105 scripts 2 dependents
felixfan
FinCal:Time Value of Money, Time Series Analysis and Computational Finance
Package for time value of money calculation, time series analysis and computational finance.
Maintained by Felix Yanhui Fan. Last updated 8 years ago.
1.7 match 23 stars 6.02 score 203 scripts 1 dependentsbioc
sevenbridges:Seven Bridges Platform API Client and Common Workflow Language Tool Builder in R
R client and utilities for Seven Bridges platform API, from Cancer Genomics Cloud to other Seven Bridges supported platforms.
Maintained by Phil Webster. Last updated 5 months ago.
softwaredataimportthirdpartyclientapi-clientbioconductorbioinformaticscloudcommon-workflow-languagesevenbridges
1.3 match 35 stars 7.40 score 24 scripts
smouksassi
coveffectsplot:Produce Forest Plots to Visualize Covariate Effects
Produce forest plots to visualize covariate effects using either the command line or an interactive 'Shiny' application.
Maintained by Samer Mouksassi. Last updated 1 months ago.
1.2 match 32 stars 7.86 score 40 scripts
kjhealy
gssrdoc:Document General Social Survey Variable
The General Social Survey (GSS) is a long-running, mostly annual survey of US households. It is administered by the National Opinion Research Center (NORC). This package contains the a tibble with information on the survey variables, together with every variable documented as an R help page. For more information on the GSS see \url{http://gss.norc.org}.
Maintained by Kieran Healy. Last updated 11 months ago.
4.0 match 2.28 score 38 scripts
graemeblair
rdss:Companion Datasets and Functions for Research Design in the Social Sciences
Helper functions to accompany the Blair, Coppock, and Humphreys (2022) "Research Design in the Social Sciences: Declaration, Diagnosis, and Redesign" <https://book.declaredesign.org>. 'rdss' includes datasets, helper functions, and plotting components to enable use and replication of the book.
Maintained by Graeme Blair. Last updated 2 months ago.
3.3 match 2.64 score 29 scripts
jonthegeek
factory:Build Function Factories
Function factories are functions that make functions. They can be confusing to construct. Straightforward techniques can produce functions that are fragile or hard to understand. While more robust techniques exist to construct function factories, those techniques can be confusing. This package is designed to make it easier to construct function factories.
Maintained by Jon Harmon. Last updated 5 years ago.
1.3 match 49 stars 6.80 score 64 scripts
lmaowisc
poset:Analysis of Partially Ordered Data
Win ratio approach to partially ordered data, such as multivariate ordinal responses under product (consensus) or prioritized order. Two-sample tests and multiplicative regression models are implemented (Mao, 2024).
Maintained by Lu Mao. Last updated 9 months ago.
2.0 match 4.00 scorer-lib
covr:Test Coverage for Packages
Track and report code coverage for your package and (optionally) upload the results to a coverage service like 'Codecov' <https://about.codecov.io> or 'Coveralls' <https://coveralls.io>. Code coverage is a measure of the amount of code being exercised by a set of tests. It is an indirect measure of test quality and completeness. This package is compatible with any testing methodology or framework and tracks coverage of both R code and compiled C/C++/FORTRAN code.
Maintained by Jim Hester. Last updated 1 months ago.
codecovcoveragecoverage-reporttravis-ci
0.5 match 337 stars 15.25 score 2.3k scripts 9 dependents
rstudio
learnr:Interactive Tutorials for R
Create interactive tutorials using R Markdown. Use a combination of narrative, figures, videos, exercises, and quizzes to create self-paced tutorials for learning about R and R packages.
Maintained by Garrick Aden-Buie. Last updated 6 months ago.
interactivepythonrmarkdownshinysqlteachingtutorial
0.5 match 713 stars 14.79 score 6.5k scripts 27 dependents
stibu81
ibawds:Functions and Datasets for the Data Science Course at IBAW
A collection of useful functions and datasets for the Data Science Course at IBAW.
Maintained by Stefan Lanz. Last updated 9 days ago.
data-science-learningeducational-resources
1.8 match 2 stars 4.26 score 8 scripts
mikldk
DNAtools:Tools for Analysing Forensic Genetic DNA Data
Computationally efficient tools for comparing all pairs of profiles in a DNA database. The expectation and covariance of the summary statistic is implemented for fast computing. Routines for estimating proportions of close related individuals are available. The use of wildcards (also called F- designation) is implemented. Dedicated functions ease plotting the results. See Tvedebrink et al. (2012) <doi:10.1016/j.fsigen.2011.08.001>. Compute the distribution of the numbers of alleles in DNA mixtures. See Tvedebrink (2013) <doi:10.1016/j.fsigss.2013.10.142>.
Maintained by Mikkel Meyer Andersen. Last updated 2 years ago.
1.3 match 6.00 score 28 scripts
supercheng971264
T2DFitTailor:Tailor the Exercise Plans and Visualize the Outcome for T2D Patients
A system for personalized exercise plan recommendations for T2D (Type 2 Diabetes) patients based on the primary outcome of HbA1c (Glycated Hemoglobin). You provide the individual's information, and 'T2DFitTailor' details the exercise plan and predicts the intervention's effectiveness.
Maintained by Cheng Liu. Last updated 11 months ago.
7.2 match 1.00 score
johnjsl7
IAcsSPCR:Data and Functions for "An Intro. to Accept. Samp. & SPC/R"
Contains data frames and functions used in the book "An Introduction to Acceptance Sampling and SPC with R". This book is available electronically at <https://bookdown.org/>. A physical copy will be published by CRC Press.
Maintained by John Lawson. Last updated 4 years ago.
6.9 match 1.00 score 7 scripts
karlines
ecolMod:"A Practical Guide to Ecological Modelling - Using R as a Simulation Platform"
Figures, data sets and examples from the book "A practical guide to ecological modelling - using R as a simulation platform" by Karline Soetaert and Peter MJ Herman (2009). Springer. All figures from chapter x can be generated by "demo(chapx)", where x = 1 to 11. The R-scripts of the model examples discussed in the book are in subdirectory "examples", ordered per chapter. Solutions to model projects are in the same subdirectories.
Maintained by Karline Soetaert. Last updated 2 years ago.
3.4 match 1 stars 2.00 score 8 scripts
brry
rskey:Create Custom 'Rstudio' Keyboard Shortcuts
Create custom keyboard shortcuts to examine code selected in the 'Rstudio' editor. F3 can for example yield 'str(selection)' and F7 open the source code of CRAN and base package functions on 'github'.
Maintained by Berry Boessenkool. Last updated 6 months ago.
1.8 match 7 stars 3.54 score
rpruim
fastR2:Foundations and Applications of Statistics Using R (2nd Edition)
Data sets and utilities to accompany the second edition of "Foundations and Applications of Statistics: an Introduction using R" (R Pruim, published by AMS, 2017), a text covering topics from probability and mathematical statistics at an advanced undergraduate level. R is integrated throughout, and access to all the R code in the book is provided via the snippet() function.
Maintained by Randall Pruim. Last updated 1 years ago.
1.0 match 13 stars 5.85 score 108 scripts
kjetil1001
SenSrivastava:Datasets from Sen & Srivastava
Collection of datasets from Sen & Srivastava: "Regression Analysis, Theory, Methods and Applications", Springer. Sources for individual data files are more fully documented in the book.
Maintained by Kjetil B Halvorsen. Last updated 1 years ago.
3.4 match 1.76 score 57 scripts
f0nzie
rODE:Ordinary Differential Equation (ODE) Solvers Written in R Using S4 Classes
Show physics, math and engineering students how an ODE solver is made and how effective R classes can be for the construction of the equations that describe natural phenomena. Inspiration for this work comes from the book on "Computer Simulations in Physics" by Harvey Gould, Jan Tobochnik, and Wolfgang Christian. Book link: <http://www.compadre.org/osp/items/detail.cfm?ID=7375>.
Maintained by Alfonso R. Reyes. Last updated 7 years ago.
1.1 match 5.50 score 71 scripts
hneth
ds4psy:Data Science for Psychologists
All datasets and functions required for the examples and exercises of the book "Data Science for Psychologists" (by Hansjoerg Neth, Konstanz University, 2023), freely available at <https://bookdown.org/hneth/ds4psy/>. The book and course introduce principles and methods of data science to students of psychology and other biological or social sciences. The 'ds4psy' package primarily provides datasets, but also functions for data generation and manipulation (e.g., of text and time data) and graphics that are used in the book and its exercises. All functions included in 'ds4psy' are designed to be explicit and instructive, rather than efficient or elegant.
Maintained by Hansjoerg Neth. Last updated 1 months ago.
data-literacydata-scienceeducationexploratory-data-analysispsychologysocial-sciencesvisualisation
0.8 match 22 stars 6.79 score 70 scriptslearnitr
learnitdashboard:Shiny Dashboard for 'learnitr' Data
A dashboard to explore data generated by 'learnitr' code, such as the 'learnitdown', or the 'learnitgrid' R package. This is a lightweight learning analytics solution for the 'learnitr' ecosystem.
Maintained by Philippe Grosjean. Last updated 10 months ago.
learning-analyticsteaching-tools
1.8 match 2 stars 3.00 score 3 scripts
windwill
cascsim:Casualty Actuarial Society Individual Claim Simulator
It is an open source insurance claim simulation engine sponsored by the Casualty Actuarial Society. It generates individual insurance claims including open claims, reopened claims, incurred but not reported claims and future claims. It also includes claim data fitting functions to help set simulation assumptions. It is useful for claim level reserving analysis. Parodi (2013) <https://www.actuaries.org.uk/documents/triangle-free-reserving-non-traditional-framework-estimating-reserves-and-reserve-uncertainty>.
Maintained by Kailan Shang. Last updated 5 years ago.
1.8 match 2.99 score 98 scripts
yangfengstat
r02pro:R Programming: Zero to Pro
This is a companion package of the book "R Programming: Zero to Pro" <https://r02pro.github.io/>. It contains the datasets used in the book and provides interactive exercises corresponding to the book. It covers a wide range of topics including visualization, data transformation, tidying data, data input and output.
Maintained by Yang Feng. Last updated 2 years ago.
2.8 match 1.70 score 50 scriptsrobjhyndman
fpp2:Data for "Forecasting: Principles and Practice" (2nd Edition)
All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (2nd ed, 2018) by Rob J Hyndman and George Athanasopoulos <https://otexts.com/fpp2/>. All packages required to run the examples are also loaded.
Maintained by Rob Hyndman. Last updated 2 years ago.
0.5 match 106 stars 8.57 score 1.8k scripts 1 dependentsrobjhyndman
fpp3:Data for "Forecasting: Principles and Practice" (3rd Edition)
All data sets required for the examples and exercises in the book "Forecasting: principles and practice" by Rob J Hyndman and George Athanasopoulos <https://OTexts.com/fpp3/>. All packages required to run the examples are also loaded. Additional data sets not used in the book are also included.
Maintained by Rob Hyndman. Last updated 6 months ago.
0.5 match 142 stars 8.47 score 2.5k scripts
wjbraun
DAAG:Data Analysis and Graphics Data and Functions
Functions and data sets used in examples and exercises in the text Maindonald, J.H. and Braun, W.J. (2003, 2007, 2010) "Data Analysis and Graphics Using R", and in an upcoming Maindonald, Braun, and Andrews text that builds on this earlier text.
Maintained by W. John Braun. Last updated 11 months ago.
0.5 match 8.25 score 1.2k scripts 1 dependents
mdsr-book
mdsr:Complement to 'Modern Data Science with R'
A complement to all editions of *Modern Data Science with R* (ISBN: 978-0367191498, publisher URL: <https://www.routledge.com/Modern-Data-Science-with-R/Baumer-Kaplan-Horton/p/book/9780367191498>). This package contains data and code to complete exercises and reproduce examples from the text. It also facilitates connections to the SQL database server used in the book. All editions of the book are supported by this package.
Maintained by Benjamin S. Baumer. Last updated 7 months ago.
0.5 match 38 stars 7.21 score 504 scripts
jbgruber
LexisNexisTools:Working with Files from 'LexisNexis'
My PhD supervisor once told me that everyone doing newspaper analysis starts by writing code to read in files from the 'LexisNexis' newspaper archive (retrieved e.g., from <https://www.lexisnexis.com/> or any of the partner sites). However, while this is a nice exercise I do recommend, not everyone has the time. This package takes files downloaded from the newspaper archive of 'LexisNexis', reads them into R and offers functions for further processing.
Maintained by Johannes B. Gruber. Last updated 11 months ago.
0.5 match 107 stars 7.14 score 65 scriptscran
R4HCR:R for Health Care Research
A collection of datasets that accompany the forthcoming book "R for Health Care Research".
Maintained by Jason L. Oke. Last updated 6 months ago.
3.6 match 1.00 score
helenkettle
microPop:Process-Based Modelling of Microbial Populations
Modelling interacting microbial populations - example applications include human gut microbiota, rumen microbiota and phytoplankton. Solves a system of ordinary differential equations to simulate microbial growth and resource uptake over time. This version contains network visualisation functions.
Maintained by Helen Kettle. Last updated 3 years ago.
1.3 match 2.64 score 11 scripts
rmheiberger
HH:Statistical Analysis and Data Display: Heiberger and Holland
Support software for Statistical Analysis and Data Display (Second Edition, Springer, ISBN 978-1-4939-2121-8, 2015) and (First Edition, Springer, ISBN 0-387-40270-5, 2004) by Richard M. Heiberger and Burt Holland. This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The second edition includes redesigned graphics and additional chapters. The authors emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how accompanying traditional tabular results are used to confirm the visual impressions derived directly from the graphs. Many of the graphical formats are novel and appear here for the first time in print. All chapters have exercises. All functions introduced in the book are in the package. R code for all examples, both graphs and tables, in the book is included in the scripts directory of the package.
Maintained by Richard M. Heiberger. Last updated 1 months ago.
0.5 match 3 stars 6.42 score 752 scripts 5 dependents
pik-piam
mrvalidation:madrat data preparation for validation purposes
Package contains routines to prepare data for validation exercises.
Maintained by Benjamin Leon Bodirsky. Last updated 11 days ago.
0.6 match 4.81 score 9 scripts 1 dependents
rmi-pacta
pacta.executive.summary:Creates Plots for the PACTA COP Executive Summary
This package contains plotting functions and a template for generating the executive summary that displays aggregated results of a PACTA COP exercise.
Maintained by Monika Furdyna. Last updated 4 months ago.
climate-changesustainable-finance
0.5 match 2 stars 4.70 score 3 scripts 1 dependentscran
airGRteaching:Teaching Hydrological Modelling with the GR Rainfall-Runoff Models ('Shiny' Interface Included)
Add-on package to the 'airGR' package that simplifies its use and is aimed at being used for teaching hydrology. The package provides 1) three functions that allow to complete very simply a hydrological modelling exercise 2) plotting functions to help students to explore observed data and to interpret the results of calibration and simulation of the GR ('Génie rural') models 3) a 'Shiny' graphical interface that allows for displaying the impact of model parameters on hydrographs and models internal variables.
Maintained by Olivier Delaigue. Last updated 1 months ago.
0.5 match 6 stars 4.82 score
lafaye
ConvergenceConcepts:Seeing Convergence Concepts in Action
This is a pedagogical package, designed to help students understanding convergence of random variables. It provides a way to investigate interactively various modes of convergence (in probability, almost surely, in law and in mean) of a sequence of i.i.d. random variables. Visualisation of simulated sample paths is possible through interactive plots. The approach is illustrated by examples and exercises through the function 'investigate', as described in Lafaye de Micheaux and Liquet (2009) <doi:10.1198/tas.2009.0032>. The user can study his/her own sequences of random variables.
Maintained by Pierre Lafaye De Micheaux. Last updated 3 years ago.
2.4 match 1.00 score 10 scripts
fmmattioni
whippr:Tools for Manipulating Gas Exchange Data
Set of tools for manipulating gas exchange data from cardiopulmonary exercise testing.
Maintained by Felipe Mattioni Maturana. Last updated 8 months ago.
0.6 match 12 stars 4.26 score 5 scripts
rjknell
Biostatistics:Statistics Tutorials for Biologists
Tutorials for statistics, aimed at biological scientists. Subjects range from basic descriptive statistics through to complex linear modelling. The tutorials include text, videos, interactive coding exercises and multiple choice quizzes. The package also includes 19 datasets which are used in the tutorials.
Maintained by Rob Knell. Last updated 3 years ago.
0.5 match 4.54 score 5 scripts
ovgu-sh
desk:Didactic Econometrics Starter Kit
Written to help undergraduate as well as graduate students to get started with R for basic econometrics without the need to import specific functions and datasets from many different sources. Primarily, the package is meant to accompany the German textbook Auer, L.v., Hoffmann, S., Kranz, T. (2024, ISBN: 978-3-662-68263-0) from which the exercises cover all the topics from the textbook Auer, L.v. (2023, ISBN: 978-3-658-42699-6).
Maintained by Soenke Hoffmann. Last updated 11 months ago.
0.5 match 4.30 score 10 scripts
alicepaul
HDSinRdata:Data for the 'Mastering Health Data Science Using R' Online Textbook
Contains ten datasets used in the chapters and exercises of Paul, Alice (2023) "Health Data Science in R" <https://alicepaul.github.io/health-data-science-using-r/>.
Maintained by Alice Paul. Last updated 3 months ago.
0.5 match 1 stars 4.09 score 41 scripts
mariarizzo
RbyExample:Data for the Book "R by Example"
Data for the examples and exercises in the book "R by Example". Jim Albert and Maria Rizzo (2012, ISBN 978-1-4614-1365-3).
Maintained by Maria Rizzo. Last updated 8 months ago.
0.5 match 2 stars 3.94 score 22 scripts
hubverse-org
hubverse:Easily Install and Load the 'hubverse'
A collection of packages that enables collaborative modeling exercises through a unified framework for aggregating, visualizing, and evaluating forecasts. This package is designed to make it easy to install and load multiple 'hubverse' packages in a single step. Learn more at <https://hubverse.io/en/latest/index.html>.
Maintained by Li Shandross. Last updated 6 months ago.
0.5 match 4.00 score 5 scriptscran
RCPA3:Data and Functions for R Companion to Political Analysis 3rd Ed
Bundles the datasets and functions featured in Philip H. Pollock and Barry C. Edwards<https://edge.sagepub.com/pollock>, "An R Companion to Political Analysis, 3rd Edition," Thousand Oaks, CA: Sage Publications.
Maintained by Barry Edwards. Last updated 3 months ago.
1.7 match 1.25 score
carloshellin
LearningRlab:Statistical Learning Functions
Aids in learning statistical functions incorporating the result of calculus done with each function and how they are obtained, that is, which equation and variables are used. Also for all these equations and their related variables detailed explanations and interactive exercises are also included. All these characteristics allow to the package user to improve the learning of statistics basics by means of their use.
Maintained by Carlos Javier Hellin Asensio. Last updated 2 years ago.
0.5 match 3.64 score 44 scriptsfmmattioni
metabolic:Datasets and Functions for Reproducing Meta-Analyses
Dataset and functions from the meta-analysis published in Medicine & Science in Sports & Exercise. It contains all the data and functions to reproduce the analysis. "Effectiveness of HIIE versus MICT in Improving Cardiometabolic Risk Factors in Health and Disease: A Meta-analysis". Felipe Mattioni Maturana, Peter Martus, Stephan Zipfel, Andreas M Nieß (2020) <doi:10.1249/MSS.0000000000002506>.
Maintained by Felipe Mattioni Maturana. Last updated 1 years ago.
0.5 match 8 stars 3.60 score 8 scripts
pdalgd
ISwR:Introductory Statistics with R
Data sets and scripts for text examples and exercises in P. Dalgaard (2008), `Introductory Statistics with R', 2nd ed., Springer Verlag, ISBN 978-0387790534.
Maintained by Peter Dalgaard. Last updated 5 months ago.
0.5 match 3.31 score 300 scripts
dusadrian
statistics:Miscellanea Functions For Intro Stats Classes
The majority of functions in this package are designed to facilitate understanding the statistical concepts taught in the class (such as the functions to create graphics or areas under the normal curve), while some are designed to ease calculations for the lab exercises (for instance the degrees of freedom or the pooled variation for two independent samples).
Maintained by Adrian Dusa. Last updated 2 months ago.
0.5 match 3.17 score 370 scripts
lisaannyu
lifelogr:Life Logging
Provides a framework for combining self-data (exercise, sleep, etc.) from multiple sources (fitbit, Apple Health), creating visualizations, and experimenting on onself.
Maintained by Lisa Ann Yu. Last updated 8 years ago.
0.5 match 2.93 score 43 scripts
sanverhavert
eyeRead:Prepare/Analyse Eye Tracking Data for Reading
Functions to prepare and analyse eye tracking data of reading exercises. The functions allow some basic data preparations and code fixations as first and second pass. First passes can be further devided into forward and reading. The package further allows for aggregating fixation times per AOI or per AOI and per type of pass (first forward, first rereading, second). These methods are based on Hyönä, Lorch, and Rinck (2003) <doi:10.1016/B978-044451020-4/50018-9> and Hyönä, and Lorch (2004) <doi:10.1016/j.learninstruc.2004.01.001>. It is also possible to convert between metric length and visual degrees.
Maintained by San Verhavert. Last updated 5 years ago.
0.5 match 2 stars 3.00 score 1 scripts
gennaro-tedesco
Rdice:A Collection of Functions to Experiment Dice Rolls
A collection of functions to simulate dice rolls and the like. In particular, experiments and exercises can be performed looking at combinations and permutations of values in dice rolls and coin flips, together with the corresponding frequencies of occurrences. When applying each function, the user has to input the number of times (rolls, flips) to toss the dice. Needless to say, the more the tosses, the more the frequencies approximate the actual probabilities. Moreover, the package provides functions to generate non-transitive sets of dice (like Efron's) and to check whether a given set of dice is non-transitive with given probability.
Maintained by Gennaro Tedesco:. Last updated 8 years ago.
0.5 match 2.85 score 14 scriptscran
dsample:Discretization-Based Direct Random Sample Generation
Discretization-based random sampling algorithm that is useful for a complex model in high dimension is implemented. The normalizing constant of a target distribution is not needed. Posterior summaries are compared with those by 'OpenBUGS'. The method is described: Wang and Lee (2014) <doi:10.1016/j.csda.2013.06.011> and exercised in Lee (2009) <http://hdl.handle.net/1993/21352>.
Maintained by Chel Hee Lee. Last updated 2 years ago.
0.5 match 2.70 scorecran
edcpR:Ecological Data Collection and Processing Package
This is the course package for the exercise portion of the "Ecological Data Collection and Processing" course.
Maintained by Ward Fonteyn. Last updated 3 years ago.
0.6 match 2.48 scorepik-piam
mrvalidnitrogen:madrat data preparation for validation purposes of nitrogen budgets
Package contains routines to prepare data for validation exercises.
Maintained by Benjamin Leon Bodirsky. Last updated 1 years ago.
0.6 match 2.18 score 1 scriptspik-piam
mrfish:madrat data preparation for data connected to fish
Package contains routines to prepare data for validation exercises.
Maintained by Benjamin Leon Bodirsky. Last updated 1 years ago.
0.6 match 2.00 score 1 scripts
psolymos
KnockKnockJokes:Knock-Knock Jokes
An S4 exercise for Knock-Knock Joke lovers.
Maintained by Peter Solymos. Last updated 8 years ago.
0.6 match 1 stars 1.70 score 2 scripts
drg-123
IIS:Datasets to Accompany Wolfe and Schneider - Intuitive Introductory Statistics
These datasets and functions accompany Wolfe and Schneider (2017) - Intuitive Introductory Statistics (ISBN: 978-3-319-56070-0) <doi:10.1007/978-3-319-56072-4>. They are used in the examples throughout the text and in the end-of-chapter exercises. The datasets are meant to cover a broad range of topics in order to appeal to the diverse set of interests and backgrounds typically present in an introductory Statistics class.
Maintained by Grant Schneider. Last updated 1 months ago.
0.5 match 1.74 score 55 scripts
kylecaudle
shuffleCI:Confidence Intervals Compared via Shuffling
Scripts and exercises that use card shuffling to teach confidence interval comparisons for different estimators.
Maintained by Kyle Caudle. Last updated 7 years ago.
0.5 match 1.00 score 4 scripts
federicoviv
SIPETool:SIFT-MS and CPET Data Processor
Processor for selected ion flow tube mass spectrometer (SIFT-MS) output file from breath analysis. It allows the filtering of the SIFT output file (i.e., variation over time of the target analyte concentration) and the following analysis for the determination of: maximum, average, and standard deviation value of target concentration measured at each exhalation, and the respiratory rate over the measurement. Additionally, it is possible to align the SIFT-MS data with other on-line techniques such as cardio pulmonary exercise test (CPET) for a comprehensive characterization of breath samples.
Maintained by Federico Vivaldi. Last updated 2 years ago.
0.5 match 1 stars 1.00 scorecran
astrodatR:Astronomical Data
A collection of 19 datasets from contemporary astronomical research. They are described the textbook `Modern Statistical Methods for Astronomy with R Applications' by Eric D. Feigelson and G. Jogesh Babu (Cambridge University Press, 2012, Appendix C) or on the website of Penn State's Center for Astrostatistics (http://astrostatistics.psu.edu/datasets). These datasets can be used to exercise methodology involving: density estimation; heteroscedastic measurement errors; contingency tables; two-sample hypothesis tests; spatial point processes; nonlinear regression; mixture models; censoring and truncation; multivariate analysis; classification and clustering; inhomogeneous Poisson processes; periodic and stochastic time series analysis.
Maintained by "Eric D., Feigelson". Last updated 11 years ago.
0.5 match 1 stars 1.00 score 8 scripts
