Showing 56 of total 56 results (show query)
rubenarslan
codebook:Automatic Codebooks from Metadata Encoded in Dataset Attributes
Easily automate the following tasks to describe data frames: Summarise the distributions, and labelled missings of variables graphically and using descriptive statistics. For surveys, compute and summarise reliabilities (internal consistencies, retest, multilevel) for psychological scales. Combine this information with metadata (such as item labels and labelled values) that is derived from R attributes. To do so, the package relies on 'rmarkdown' partials, so you can generate HTML, PDF, and Word documents. Codebooks are also available as tables (CSV, Excel, etc.) and in JSON-LD, so that search engines can find your data and index the metadata. The metadata are also available at your fingertips via RStudio Addins.
Maintained by Ruben Arslan. Last updated 3 months ago.
codebookdocumentationformrjson-ldmetadataspsswebapp
111.7 match 142 stars 8.31 score 229 scripts
melff
memisc:Management of Survey Data and Presentation of Analysis Results
An infrastructure for the management of survey data including value labels, definable missing values, recoding of variables, production of code books, and import of (subsets of) 'SPSS' and 'Stata' files is provided. Further, the package allows to produce tables and data frames of arbitrary descriptive statistics and (almost) publication-ready tables of regression model estimates, which can be exported to 'LaTeX' and HTML.
Maintained by Martin Elff. Last updated 11 days ago.
13.6 match 46 stars 12.34 score 1.2k scripts 13 dependents
zauchnerp
gmoTree:Get and Modify 'oTree' Data
Efficiently manage and process data from 'oTree' experiments. Import 'oTree' data and clean them by using functions that handle messy data, dropouts, and other problematic cases. Create IDs, calculate the time, transfer variables between app data frames, and delete sensitive information. Review your experimental data prior to running the experiment and automatically generate a detailed summary of the variables used in your 'oTree' code. Information on 'oTree' is found in Chen, D. L., Schonger, M., & Wickens, C. (2016) <doi:10.1016/j.jbef.2015.12.001>.
Maintained by Patricia F. Zauchner. Last updated 1 months ago.
16.3 match 4 stars 5.45 score 8 scripts
s87jackson
rfars:Download and Analyze Crash Data
Download crash data from the National Highway Traffic Safety Administration and prepare it for research.
Maintained by Steve Jackson. Last updated 12 months ago.
crashfatalitiesofficial-statisticstransportation
12.8 match 10 stars 5.35 score 15 scripts
strohne
volker:High-Level Functions for Tabulating, Charting and Reporting Survey Data
Craft polished tables and plots in Markdown reports. Simply choose whether to treat your data as counts or metrics, and the package will automatically generate well-designed default tables and plots for you. Boiled down to the basics, with labeling features and simple interactive reports. All functions are 'tidyverse' compatible.
Maintained by Jakob Jünger. Last updated 3 days ago.
9.3 match 5 stars 7.16 score 125 scripts
capro-uio
nettskjemar:Connect to the 'nettskjema.no' API of the University of Oslo
Enables users to retrieve data, meta-data, and codebooks from <https://nettskjema.no/>. The data from the API is richer than from the online data portal. Mowinckel (2021) <doi:10.5281/zenodo.4745481>.
Maintained by Athanasia Mo Mowinckel. Last updated 3 years ago.
13.8 match 2 stars 4.75 score 14 scripts
ropenspain
spanishoddata:Get Spanish Origin-Destination Data
Gain seamless access to origin-destination (OD) data from the Spanish Ministry of Transport, hosted at <https://www.transportes.gob.es/ministerio/proyectos-singulares/estudios-de-movilidad-con-big-data/opendata-movilidad>. This package simplifies the management of these large datasets by providing tools to download zone boundaries, handle associated origin-destination data, and process it efficiently with the 'duckdb' database interface. Local caching minimizes repeated downloads, streamlining workflows for researchers and analysts. Extensive documentation is available at <https://ropenspain.github.io/spanishoddata/index.html>, offering guides on creating static and dynamic mobility flow visualizations and transforming large datasets into analysis-ready formats.
Maintained by Egor Kotov. Last updated 7 days ago.
cdrdatadata-packagemobile-telephone-datamobilityorigin-destination
7.3 match 35 stars 7.89 score 14 scripts
roux-ohdsi
allofus:Interface for 'All of Us' Researcher Workbench
Streamline use of the 'All of Us' Researcher Workbench (<https://www.researchallofus.org/data-tools/workbench/>)with tools to extract and manipulate data from the 'All of Us' database. Increase interoperability with the Observational Health Data Science and Informatics ('OHDSI') tool stack by decreasing reliance of 'All of Us' tools and allowing for cohort creation via 'Atlas'. Improve reproducible and transparent research using 'All of Us'.
Maintained by Rob Cavanaugh. Last updated 4 months ago.
7.8 match 16 stars 7.19 score 30 scripts
brandmaier
pdc:Permutation Distribution Clustering
Permutation Distribution Clustering is a clustering method for time series. Dissimilarity of time series is formalized as the divergence between their permutation distributions. The permutation distribution was proposed as measure of the complexity of a time series.
Maintained by Andreas M. Brandmaier. Last updated 2 years ago.
8.9 match 6 stars 5.61 score 25 scripts 9 dependents
nt-williams
codebreak:Label Data Using a YAML Codebook
A light-weight framework for labeling coded data using a codebook saved as YAML text file.
Maintained by Nick Williams. Last updated 7 months ago.
19.7 match 6 stars 2.48 score 1 scripts
debruine
faux:Simulation for Factorial Designs
Create datasets with factorial structure through simulation by specifying variable parameters. Extended documentation at <https://debruine.github.io/faux/>. Described in DeBruine (2020) <doi:10.5281/zenodo.2669586>.
Maintained by Lisa DeBruine. Last updated 2 months ago.
5.2 match 98 stars 9.35 score 716 scripts 1 dependents
myominnoo
mStats:Medical Statistics & Epidemiological Analysis
A set of tidyverse-friendly functions for data management, calculation of epidemiological measures, statistical analysis, and table creation.
Maintained by Myo Minn Oo. Last updated 1 years ago.
data-managementepidemiological-calculationsmedical-statistics
8.9 match 4.98 score 16 scripts 1 dependents
brad-cannell
codebookr:Create Codebooks from Data Frames
Quickly and easily create codebooks (i.e. data dictionaries) directly from a data frame.
Maintained by Brad Cannell. Last updated 1 years ago.
8.8 match 28 stars 4.74 score 39 scripts
dswoulf
rddi:R Interface to DDI Codebook 2.5
A direct interface to the underlying XML representation of DDI Codebook 2.5 with flexible API creation.
Maintained by Daniel Woulfin. Last updated 2 years ago.
10.9 match 3.70 score 5 scripts
vubiostat
redcapAPI:Interface to 'REDCap'
Access data stored in 'REDCap' databases using the Application Programming Interface (API). 'REDCap' (Research Electronic Data CAPture; <https://projectredcap.org>, Harris, et al. (2009) <doi:10.1016/j.jbi.2008.08.010>, Harris, et al. (2019) <doi:10.1016/j.jbi.2019.103208>) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The API allows users to access data and project meta data (such as the data dictionary) from the web programmatically. The 'redcapAPI' package facilitates the process of accessing data with options to prepare an analysis-ready data set consistent with the definitions in a database's data dictionary.
Maintained by Shawn Garbett. Last updated 9 days ago.
3.6 match 22 stars 10.47 score 134 scripts 2 dependents
ipums
ipumsr:An R Interface for Downloading, Reading, and Handling IPUMS Data
An easy way to work with census, survey, and geographic data provided by IPUMS in R. Generate and download data through the IPUMS API and load IPUMS files into R with their associated metadata to make analysis easier. IPUMS data describing 1.4 billion individuals drawn from over 750 censuses and surveys is available free of charge from the IPUMS website <https://www.ipums.org>.
Maintained by Derek Burk. Last updated 19 days ago.
3.4 match 28 stars 11.07 score 720 scripts 2 dependents
dusadrian
DDIwR:DDI with R
Useful functions for various DDI (Data Documentation Initiative) related inputs and outputs. Converts data files to and from DDI, SPSS, Stata, SAS, R and Excel, including user declared missing values.
Maintained by Adrian Dusa. Last updated 3 months ago.
7.6 match 15 stars 4.92 score 10 scripts
cdcgov
surveytable:Formatted Survey Estimates
Short and understandable commands that generate tabulated, formatted, and rounded survey estimates. Mostly a wrapper for the 'survey' package (Lumley (2004) <doi:10.18637/jss.v009.i08> <https://CRAN.R-project.org/package=survey>) that identifies low-precision estimates using the National Center for Health Statistics (NCHS) presentation standards (Parker et al. (2017) <https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf>, Parker et al. (2023) <doi:10.15620/cdc:124368>).
Maintained by Alex Strashny. Last updated 4 days ago.
estimatesformatted-outputpretty-printsurveytables
5.3 match 6 stars 6.71 score 19 scripts
nickch-k
causaldata:Example Data Sets for Causal Inference Textbooks
Example data sets to run the example problems from causal inference textbooks. Currently, contains data sets for Huntington-Klein, Nick (2021) "The Effect" <https://theeffectbook.net>, first and second edition, Cunningham, Scott (2021, ISBN-13: 978-0-300-25168-5) "Causal Inference: The Mixtape", and Hernán, Miguel and James Robins (2020) "Causal Inference: What If" <https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/>.
Maintained by Nick Huntington-Klein. Last updated 4 months ago.
4.5 match 136 stars 7.43 score 144 scripts 1 dependents
american-institutes-for-research
EdSurvey:Analysis of NCES Education Survey and Assessment Data
Read in and analyze functions for education survey and assessment data from the National Center for Education Statistics (NCES) <https://nces.ed.gov/>, including National Assessment of Educational Progress (NAEP) data <https://nces.ed.gov/nationsreportcard/> and data from the International Assessment Database: Organisation for Economic Co-operation and Development (OECD) <https://www.oecd.org/en/about/directorates/directorate-for-education-and-skills.html>, including Programme for International Student Assessment (PISA), Teaching and Learning International Survey (TALIS), Programme for the International Assessment of Adult Competencies (PIAAC), and International Association for the Evaluation of Educational Achievement (IEA) <https://www.iea.nl/>, including Trends in International Mathematics and Science Study (TIMSS), TIMSS Advanced, Progress in International Reading Literacy Study (PIRLS), International Civic and Citizenship Study (ICCS), International Computer and Information Literacy Study (ICILS), and Civic Education Study (CivEd).
Maintained by Paul Bailey. Last updated 16 days ago.
4.3 match 10 stars 7.86 score 139 scripts 1 dependents
cjendres1
nhanesA:NHANES Data Retrieval
Utility to retrieve data from the National Health and Nutrition Examination Survey (NHANES) website <https://www.cdc.gov/nchs/nhanes/>.
Maintained by Christopher Endres. Last updated 2 months ago.
3.4 match 59 stars 9.37 score 239 scripts
cran
class:Functions for Classification
Various functions for classification, including k-nearest neighbour, Learning Vector Quantization and Self-Organizing Maps.
Maintained by Brian Ripley. Last updated 2 months ago.
3.8 match 1 stars 7.83 score 2.2k dependentscran
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.
5.3 match 1 stars 5.44 score 758 scripts 2 dependents
easystats
datawizard:Easy Data Wrangling and Statistical Transformations
A lightweight package to assist in key steps involved in any data analysis workflow: (1) wrangling the raw data to get it in the needed form, (2) applying preprocessing steps and statistical transformations, and (3) compute statistical summaries of data properties and distributions. It is also the data wrangling backend for packages in 'easystats' ecosystem. References: Patil et al. (2022) <doi:10.21105/joss.04684>.
Maintained by Etienne Bacher. Last updated 9 days ago.
datadplyrhacktoberfestjanitormanipulationreshapetidyrwrangling
1.9 match 222 stars 14.71 score 436 scripts 119 dependents
crsh
papaja:Prepare American Psychological Association Journal Articles with R Markdown
Tools to create dynamic, submission-ready manuscripts, which conform to American Psychological Association manuscript guidelines. We provide R Markdown document formats for manuscripts (PDF and Word) and revision letters (PDF). Helper functions facilitate reporting statistical analyses or create publication-ready tables and plots.
Maintained by Frederik Aust. Last updated 18 days ago.
apaapa-guidelinesjournalmanuscriptpsychologyreproducible-paperreproducible-researchrmarkdown
2.3 match 662 stars 11.74 score 1.7k scripts 1 dependents
cranhaven
rock:Reproducible Open Coding Kit
The Reproducible Open Coding Kit ('ROCK', and this package, 'rock') was developed to facilitate reproducible and open coding, specifically geared towards qualitative research methods. Although it is a general-purpose toolkit, three specific applications have been implemented, specifically an interface to the 'rENA' package that implements Epistemic Network Analysis ('ENA'), means to process notes from Cognitive Interviews ('CIs'), and means to work with decentralized construct taxonomies ('DCTs'). The 'ROCK' and this 'rock' package are described in the ROCK book <https://rockbook.org> and more information, such as tutorials, is available at <https://rock.science>.
Maintained by Gjalt-Jorn Peters. Last updated 8 days ago.
7.5 match 5 stars 3.40 score
dtacled
acledR:Manipulate ACLED Data
Tools working with data from ACLED (Armed Conflict Location and Event Data). Functions include simplified access to ACLED's API (<https://apidocs.acleddata.com/>), methods for keeping local versions of ACLED data up-to-date, and functions for common ACLED data transformations.
Maintained by Trey Billing. Last updated 18 days ago.
4.5 match 1 stars 5.13 score 6 scripts
ouhscbbmc
REDCapR:Interaction Between R and REDCap
Encapsulates functions to streamline calls from R to the REDCap API. REDCap (Research Electronic Data CAPture) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The Application Programming Interface (API) offers an avenue to access and modify data programmatically, improving the capacity for literate and reproducible programming.
Maintained by Will Beasley. Last updated 2 months ago.
1.5 match 118 stars 12.36 score 438 scripts 6 dependents
cjvanlissa
worcs:Workflow for Open Reproducible Code in Science
Create reproducible and transparent research projects in 'R'. This package is based on the Workflow for Open Reproducible Code in Science (WORCS), a step-by-step procedure based on best practices for Open Science. It includes an 'RStudio' project template, several convenience functions, and all dependencies required to make your project reproducible and transparent. WORCS is explained in the tutorial paper by Van Lissa, Brandmaier, Brinkman, Lamprecht, Struiksma, & Vreede (2021). <doi:10.3233/DS-210031>.
Maintained by Caspar J. Van Lissa. Last updated 11 days ago.
2.0 match 83 stars 9.26 score 59 scripts
ropensci
rdhs:API Client and Dataset Management for the Demographic and Health Survey (DHS) Data
Provides a client for (1) querying the DHS API for survey indicators and metadata (<https://api.dhsprogram.com/#/index.html>), (2) identifying surveys and datasets for analysis, (3) downloading survey datasets from the DHS website, (4) loading datasets and associate metadata into R, and (5) extracting variables and combining datasets for pooled analysis.
Maintained by OJ Watson. Last updated 17 days ago.
datasetdhsdhs-apiextractpeer-reviewedsurvey-data
1.8 match 35 stars 10.07 score 286 scripts 3 dependents
ropengov
retroharmonize:Ex Post Survey Data Harmonization
Assist in reproducible retrospective (ex-post) harmonization of data, particularly individual level survey data, by providing tools for organizing metadata, standardizing the coding of variables, and variable names and value labels, including missing values, and documenting the data transformations, with the help of comprehensive s3 classes.
Maintained by Daniel Antal. Last updated 2 months ago.
2.3 match 10 stars 7.62 score 59 scripts
politicaargentina
opinAr:Argentina's Public Opinion Toolbox
A toolbox for working with public opinion data from Argentina. It facilitates access to microdata and the calculation of indicators of the Trust in Government Index (ICG), prepared by the Torcuato Di Tella University. Although we will try to document everything possible in English, by its very nature Spanish will be the main language. El paquete fue pensado como una caja de herramientas para el trabajo con datos de opinión pública de Argentina. El mismo facilita el acceso a los microdatos y el cálculos de indicadores del Índice de Confianza en el Gobierno (ICG), elaborado por la Universidad Torcuato Di Tella.
Maintained by Juan Pablo Ruiz Nicolini. Last updated 1 years ago.
argentinadatapolitical-sciencepoliticspublic-opinion
4.1 match 4.00 score
zpneal
childfree:Access and Harmonize Childfree Demographic Data
Reads demographic data from a variety of public data sources, extracting and harmonizing variables useful for the study of childfree individuals. The identification of childfree individuals and those with other family statuses uses Neal & Neal's (2024) "A Framework for Studying Adults who Neither have Nor Want Children" <doi:10.1177/10664807231198869>; A pre-print is available at <doi:10.31234/osf.io/fa89m>.
Maintained by Zachary Neal. Last updated 6 months ago.
3.3 match 4.85 score 1 scripts
ekstroem
dataMaid:A Suite of Checks for Identification of Potential Errors in a Data Frame as Part of the Data Screening Process
Data screening is an important first step of any statistical analysis. dataMaid auto generates a customizable data report with a thorough summary of the checks and the results that a human can use to identify possible errors. It provides an extendable suite of test for common potential errors in a dataset.
Maintained by Claus Thorn Ekstrøm. Last updated 3 years ago.
data-cleaningdata-screeningreproducible-research
2.0 match 143 stars 7.53 score 236 scripts
nyuglobalties
blueprintr:Automagically Document and Test Datasets Using Targets Or Drake
Documents and tests datasets in a reproducible manner so that data lineage is easier to comprehend for small to medium tabular data. Originally designed to aid data cleaning tasks for humanitarian research groups, specifically large-scale longitudinal studies.
Maintained by Patrick Anker. Last updated 8 months ago.
3.9 match 1 stars 3.40 score 7 scripts
manifestoproject
manifestoR:Access and Process Data and Documents of the Manifesto Project
Provides access to coded election programmes from the Manifesto Corpus and to the Manifesto Project's Main Dataset and routines to analyse this data. The Manifesto Project <https://manifesto-project.wzb.eu> collects and analyses election programmes across time and space to measure the political preferences of parties. The Manifesto Corpus contains the collected and annotated election programmes in the Corpus format of the package 'tm' to enable easy use of text processing and text mining functionality. Specific functions for scaling of coded political texts are included.
Maintained by Jirka Lewandowski. Last updated 7 years ago.
2.3 match 55 stars 5.60 score 72 scripts
rwehrens
kohonen:Supervised and Unsupervised Self-Organising Maps
Functions to train self-organising maps (SOMs). Also interrogation of the maps and prediction using trained maps are supported. The name of the package refers to Teuvo Kohonen, the inventor of the SOM.
Maintained by Ron Wehrens. Last updated 2 years ago.
1.8 match 9 stars 6.91 score 724 scripts 14 dependentsekstroem
dataReporter:Reproducible Data Screening Checks and Report of Possible Errors
Data screening is an important first step of any statistical analysis. 'dataReporter' auto generates a customizable data report with a thorough summary of the checks and the results that a human can use to identify possible errors. It provides an extendable suite of test for common potential errors in a dataset. See Petersen AH, Ekstrøm CT (2019). "dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R." _Journal of Statistical Software_, *90*(6), 1-38 <doi:10.18637/jss.v090.i06> for more information.
Maintained by Claus Thorn Ekstrøm. Last updated 2 years ago.
2.0 match 86 stars 6.16 score 34 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.
5.4 match 2.28 score 38 scripts
caleblucas
csppData:Data Only: The Correlates of State Policy Project Dataset
Contains the Correlates of State Policy Project dataset (+ codebook) assembled by Marty P. Jordan and Matt Grossmann (2020) <http://ippsr.msu.edu/public-policy/correlates-state-policy> used by the 'cspp' package. The Correlates data contains over 3000 variables across more than 100 years that pertain to state politics and policy in the United States.
Maintained by Caleb Lucas. Last updated 3 years ago.
4.0 match 2.18 score 1 scripts 1 dependents
jkhaukka
codeCollection:Collection of Codes with Labels
Includes several classifications such as International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD10), Anatomical Therapeutic Chemical (ATC) Classification, The International Classification of Diseases for Oncology (ICD-O-3), and International Classification of Primary Care (ICPC). Includes function that adds descriptive label to code value. Depending on classification following languages are available: English, Finnish, Swedish, and Latin.
Maintained by Jari Haukka. Last updated 2 years ago.
7.8 match 1.00 score 2 scripts
oxfordihtm
oxcgrt:An Interface to the Oxford COVID-19 Government Response Tracker API
The Oxford COVID-19 Government Response Tracker (OxCGRT) tracks and compares worldwide government responses to the COVID-19 pandemic rigorously and consistently. OxCGRT makes available systematic information in a consistent way, aiding those who require information have access to it efficiently for their purposes. This package facilitates access to the OxCGRT data via its API <https://covidtracker.bsg.ox.ac.uk/> and includes functions to calculate the various OxCGRT indices in R.
Maintained by Ernest Guevarra. Last updated 11 months ago.
3.4 match 1 stars 2.15 score 14 scripts
epicentre-msf
redcap:R Utilities For REDCap
R utilities for interacting with the REDCap API.
Maintained by Patrick Barks. Last updated 3 months ago.
1.6 match 7 stars 3.45 score 5 scriptsropengov
mpg:FuelEconomy.gov Data
Extract fuel economy data from FuelEconomy.gov.
Maintained by Thomas J. Leeper. Last updated 3 years ago.
2.0 match 12 stars 2.78 score
dobrowski
MCOE:Creates New Folders and Loads Standard Practices for Monterey County Office of Education
Basic Setup for Projects in R for Monterey County Office of Education. It contains functions often used in the analysis of education data in the county office including seeing if an item is not in a list, rounding in the manner the general public expects, including logos for districts, switching between district names and their county-district-school codes, accessing the local 'SQL' table and making thematically consistent graphs.
Maintained by David Dobrowski. Last updated 1 years ago.
1.7 match 1 stars 3.11 score 26 scripts
lifebrain
gbhs:Lifebrain Global Brain Health Survey Data
Between June 2019 and August 2020, Lifebrain conducted the Global Brain Health Survey to collect data on people’s perceptions of brain health and willingness to take care of their brain by adopting new lifestyles. The survey was conducted online and translated into 14 languages to reach as many people as possible. In total, it collected 27,590 responses from people in 81 countries. This package contains code and data from this survey.
Maintained by Athanasia Mo Mowinckel. Last updated 2 years ago.
1.8 match 1 stars 2.78 score 12 scripts
jordanrvl
esmtools:Preprocessing Experience Sampling Method (ESM) Data
Tailored explicitly for Experience Sampling Method (ESM) data, it contains a suite of functions designed to simplify preprocessing steps and create subsequent reporting. It empowers users with capabilities to extract critical insights during preprocessing, conducts thorough data quality assessments (e.g., design and sampling scheme checks, compliance rate, careless responses), and generates visualizations and concise summary tables tailored specifically for ESM data. Additionally, it streamlines the creation of informative and interactive preprocessing reports, enabling researchers to transparently share their dataset preprocessing methodologies. Finally, it is part of a larger ecosystem which includes a framework and a web gallery (<https://preprocess.esmtools.com/>).
Maintained by Jordan Revol. Last updated 1 years ago.
2.0 match 2 stars 2.00 score 7 scripts
ddisab01
quest:Prepare Questionnaire Data for Analysis
Offers a suite of functions to prepare questionnaire data for analysis (perhaps other types of data as well). By data preparation, I mean data analytic tasks to get your raw data ready for statistical modeling (e.g., regression). There are functions to investigate missing data, reshape data, validate responses, recode variables, score questionnaires, center variables, aggregate by groups, shift scores (i.e., leads or lags), etc. It provides functions for both single level and multilevel (i.e., grouped) data. With a few exceptions (e.g., ncases()), functions without an "s" at the end of their primary word (e.g., center_by()) act on atomic vectors, while functions with an "s" at the end of their primary word (e.g., centers_by()) act on multiple columns of a data.frame.
Maintained by David Disabato. Last updated 1 years ago.
1.9 match 1.98 score 12 scriptskjhealy
gssr:US General Social Survey (GSS) Data for R
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 GSS Cumulative Data and GSS Panel Data files packaged for R. Its companion package, gssrdoc, provides the codebook integrated into R's help system For more information on the GSS see \url{http://gss.norc.org}.
Maintained by Kieran Healy. Last updated 4 months ago.
0.5 match 45 stars 6.42 score 147 scripts
opendataformat
opendataformat:Reading and Writing Open Data Format Files
The Open Data Format (ODF) is a new, non-proprietary, multilingual, metadata enriched, and zip-compressed data format with metadata structured in the Data Documentation Initiative (DDI) Codebook standard. This package allows reading and writing of data files in the Open Data Format (ODF) in R, and displaying metadata in different languages. For further information on the Open Data Format, see <https://opendataformat.github.io/>.
Maintained by Tom Hartl. Last updated 6 days ago.
0.5 match 5.41 score 7 scripts
christophernclark
hpsrn:This tests the functionality of developing an R Data Package
This package provides each round of Household Pulse Survey data and respective codebooks in an easily accessible manner. Raw data sets of Household Pulse Survey data [Public Use Files] can be accessed at the US Census Website.
Maintained by Prasad Bhoite. Last updated 1 years ago.
0.5 match 1.70 score
jacobkap
UCR.ColumnNames:Fixes Column Names for Uniform Crime Report "Offenses Known and Clearance by Arrest" Datasets
Changes the column names of the inputted dataset to the correct names from the Uniform Crime Report codebook for the "Offenses Known and Clearance by Arrest" datasets from 1998-2014.
Maintained by Jacob Kaplan. Last updated 8 years ago.
0.5 match 1.00 score 1 scriptscran
tdsc:Time Domain Signal Coding
Functions for performing time domain signal coding as used in Chesmore (2001) <doi:10.1016/S0003-682X(01)00009-3>, and related tasks. This package creates the standard S-matrix and A-matrix (with variable lag), has tools to convert coding matrices into distributed matrices, provides published codebooks and allows for extraction of code sequences.
Maintained by Ed Baker. Last updated 2 years ago.
0.5 match 1.00 score 8 scripts