Showing 17 of total 17 results (show query)
bioc
Biobase:Biobase: Base functions for Bioconductor
Functions that are needed by many other packages or which replace R functions.
Maintained by Bioconductor Package Maintainer. Last updated 5 months ago.
infrastructurebioconductor-packagecore-package
9 stars 16.45 score 6.6k scripts 1.8k dependents
data-cleaning
validate:Data Validation Infrastructure
Declare data validation rules and data quality indicators; confront data with them and analyze or visualize the results. The package supports rules that are per-field, in-record, cross-record or cross-dataset. Rules can be automatically analyzed for rule type and connectivity. Supports checks implied by an SDMX DSD file as well. See also Van der Loo and De Jonge (2018) <doi:10.1002/9781118897126>, Chapter 6 and the JSS paper (2021) <doi:10.18637/jss.v097.i10>.
Maintained by Mark van der Loo. Last updated 25 days ago.
419 stars 12.39 score 448 scripts 8 dependents
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 24 days ago.
46 stars 12.34 score 1.2k scripts 13 dependents
crunch-io
crunch:Crunch.io Data Tools
The Crunch.io service <https://crunch.io/> provides a cloud-based data store and analytic engine, as well as an intuitive web interface. Using this package, analysts can interact with and manipulate Crunch datasets from within R. Importantly, this allows technical researchers to collaborate naturally with team members, managers, and clients who prefer a point-and-click interface.
Maintained by Greg Freedman Ellis. Last updated 8 days ago.
9 stars 10.47 score 200 scripts 2 dependentsbioc
GSEABase:Gene set enrichment data structures and methods
This package provides classes and methods to support Gene Set Enrichment Analysis (GSEA).
Maintained by Bioconductor Package Maintainer. Last updated 2 months ago.
geneexpressiongenesetenrichmentgraphandnetworkgokegg
10.27 score 1.5k scripts 77 dependentsbioc
flowCore:flowCore: Basic structures for flow cytometry data
Provides S4 data structures and basic functions to deal with flow cytometry data.
Maintained by Mike Jiang. Last updated 5 months ago.
immunooncologyinfrastructureflowcytometrycellbasedassayscpp
10.17 score 1.7k scripts 59 dependentsbioc
GenomicInteractions:Utilities for handling genomic interaction data
Utilities for handling genomic interaction data such as ChIA-PET or Hi-C, annotating genomic features with interaction information, and producing plots and summary statistics.
Maintained by Liz Ing-Simmons. Last updated 5 months ago.
softwareinfrastructuredataimportdatarepresentationhic
7 stars 9.31 score 162 scripts 5 dependentsbioc
topGO:Enrichment Analysis for Gene Ontology
topGO package provides tools for testing GO terms while accounting for the topology of the GO graph. Different test statistics and different methods for eliminating local similarities and dependencies between GO terms can be implemented and applied.
Maintained by Adrian Alexa. Last updated 5 months ago.
8.96 score 2.0k scripts 20 dependents
dataobservatory-eu
dataset:Create Data Frames that are Easier to Exchange and Reuse
The aim of the 'dataset' package is to make tidy datasets easier to release, exchange and reuse. It organizes and formats data frame 'R' objects into well-referenced, well-described, interoperable datasets into release and reuse ready form.
Maintained by Daniel Antal. Last updated 4 days ago.
14 stars 7.89 score 76 scripts 1 dependents
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
143 stars 7.53 score 236 scripts
syncrosim
rsyncrosim:The R Interface to 'SyncroSim'
'SyncroSim' is a generalized framework for managing scenario-based datasets (<https://syncrosim.com/>). 'rsyncrosim' provides an interface to 'SyncroSim'. Simulation models can be added to 'SyncroSim' in order to transform these datasets, taking advantage of general features such as defining scenarios of model inputs, running Monte Carlo simulations, and summarizing model outputs. 'rsyncrosim' requires 'SyncroSim' 2.3.5 or higher (API documentation: <https://docs.syncrosim.com/>).
Maintained by Katie Birchard. Last updated 22 days ago.
9 stars 7.09 score 189 scriptsdata-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 10 months ago.
10 stars 6.24 score 58 scriptsekstroem
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.
86 stars 6.16 score 34 scriptsbioc
qcmetrics:A Framework for Quality Control
The package provides a framework for generic quality control of data. It permits to create, manage and visualise individual or sets of quality control metrics and generate quality control reports in various formats.
Maintained by Laurent Gatto. Last updated 5 months ago.
immunooncologysoftwarequalitycontrolproteomicsmicroarraymassspectrometryvisualizationreportwriting
2 stars 6.03 score 2 dependents
cox-labs
PerseusR:Perseus R Interop
Enables the interoperability between the Perseus platform for omics data analysis (Tyanova et al. 2016) <doi:10.1038/nmeth.3901> and R. It provides the foundation for developing and running Perseus plugins implemented in R by providing all required input and output handling, including data and parameter parsing as described in Rudolph and Cox 2018 <doi:10.1101/447268>.
Maintained by Jan Rudolph. Last updated 3 years ago.
bioinformaticsinteropmaxquantperseusproteomics
13 stars 5.88 score 58 scripts
simon-lenau
prolific.api:A User-Friendly Interface for Accessing the Prolific API
A user-friendly interface for creating and managing empirical crowd-sourcing studies via API access to <https://www.prolific.co>.
Maintained by Simon Lenau. Last updated 2 years ago.
crowd-sourcingcrowdsourcing-experimentscrowdsourcing-platformsempirical-researchparticipantssampling
3.70 score 8 scripts
cran
tis:Time Indexes and Time Indexed Series
Functions and S3 classes for time indexes and time indexed series, which are compatible with FAME frequencies.
Maintained by Brian Salzer. Last updated 4 years ago.
3.35 score 6 dependents