R-universe search: needs:readODS

quanteda

readtext:Import and Handling for Plain and Formatted Text Files

Functions for importing and handling text files and formatted text files with additional meta-data, such including '.csv', '.tab', '.json', '.xml', '.html', '.pdf', '.doc', '.docx', '.rtf', '.xls', '.xlsx', and others.

Maintained by Kenneth Benoit. Last updated 4 months ago.

encoding quanteda text

122 stars 10.66 score 1.2k scripts 5 dependents

soerenpannier

emdi:Estimating and Mapping Disaggregated Indicators

Functions that support estimating, assessing and mapping regional disaggregated indicators. So far, estimation methods comprise direct estimation, the model-based unit-level approach Empirical Best Prediction (see "Small area estimation of poverty indicators" by Molina and Rao (2010) <doi:10.1002/cjs.10051>), the area-level model (see "Estimates of income for small places: An application of James-Stein procedures to Census Data" by Fay and Herriot (1979) <doi:10.1080/01621459.1979.10482505>) and various extensions of it (adjusted variance estimation methods, log and arcsin transformation, spatial, robust and measurement error models), as well as their precision estimates. The assessment of the used model is supported by a summary and diagnostic plots. For a suitable presentation of estimates, map plots can be easily created. Furthermore, results can easily be exported to excel. For a detailed description of the package and the methods used see "The R Package emdi for Estimating and Mapping Regionally Disaggregated Indicators" by Kreutzmann et al. (2019) <doi:10.18637/jss.v091.i07> and the second package vignette "A Framework for Producing Small Area Estimates Based on Area-Level Models in R".

Maintained by Soeren Pannier. Last updated 1 years ago.

15 stars 7.26 score 45 scripts 1 dependents

dfe-analytical-services

shinyGovstyle:Custom Gov Style Inputs for Shiny

Collection of 'shiny' application styling that are the based on the GOV.UK Design System. See <https://design-system.service.gov.uk/components/> for details.

Maintained by Ross Wyatt. Last updated 6 days ago.

44 stars 6.77 score 25 scripts

hegghammer

daiR:Interface with Google Cloud Document AI API

R interface for the Google Cloud Services 'Document AI API' <https://cloud.google.com/document-ai/> with additional tools for output file parsing and text reconstruction. 'Document AI' is a powerful server-based OCR service that extracts text and tables from images and PDF files with high accuracy. 'daiR' gives R users programmatic access to this service and additional tools to handle and visualize the output. See the package website <https://dair.info/> for more information and examples.

Maintained by Thomas Hegghammer. Last updated 5 months ago.

google-cloud ocr

42 stars 6.77 score 40 scripts

pik-piam

mrremind:MadRat REMIND Input Data Package

The mrremind packages contains data preprocessing for the REMIND model.

Maintained by Lavinia Baumstark. Last updated 2 days ago.

4 stars 6.25 score 15 scripts 1 dependents

agdamsbo

REDCapCAST:REDCap Metadata Casting and Castellated Data Handling

Casting metadata for REDCap database creation and handling of castellated data using repeated instruments and longitudinal projects in 'REDCap'. Keeps a focused data export approach, by allowing to only export required data from the database. Also for casting new REDCap databases based on datasets from other sources. Originally forked from the R part of 'REDCapRITS' by Paul Egeler. See <https://github.com/pegeler/REDCapRITS>. 'REDCap' (Research Electronic Data Capture) is a secure, web-based software platform designed to support data capture for research studies, providing 1) an intuitive interface for validated data capture; 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages; and 4) procedures for data integration and interoperability with external sources (Harris et al (2009) <doi:10.1016/j.jbi.2008.08.010>; Harris et al (2019) <doi:10.1016/j.jbi.2019.103208>).

Maintained by Andreas Gammelgaard Damsbo. Last updated 20 days ago.

1 stars 5.84 score 12 scripts

pik-piam

mrindustry:input data generation for the REMIND industry module

The mrindustry packages contains data preprocessing for the REMIND model.

Maintained by Falk Benke. Last updated 9 days ago.

5.43 score 2 dependents

massimoaria

tall:Text Analysis for All

An R 'shiny' app designed for diverse text analysis tasks, offering a wide range of methodologies tailored to Natural Language Processing (NLP) needs. It is a versatile, general-purpose tool for analyzing textual data. 'tall' features a comprehensive workflow, including data cleaning, preprocessing, statistical analysis, and visualization, all integrated for effective text analysis.

Maintained by Massimo Aria. Last updated 11 days ago.

r-shiny text-analysis-and-sentiment-analysis text-classification text-mining textual-analysis cpp

15 stars 5.15 score

ssa-statistical-team-projects

povmap:Extension to the 'emdi' Package

The R package 'povmap' supports small area estimation of means and poverty headcount rates. It adds several new features to the 'emdi' package (see "The R Package emdi for Estimating and Mapping Regionally Disaggregated Indicators" by Kreutzmann et al. (2019) <doi:10.18637/jss.v091.i07>). These include new options for incorporating survey weights, ex-post benchmarking of estimates, two additional transformations, several new convenient functions to assist with reporting results, and a wrapper function to facilitate access from 'Stata'.

Maintained by Ifeanyi Edochie. Last updated 5 months ago.

1 stars 4.60 score 10 scripts

chaoliu-cl

textAnnotatoR:Interactive Text Annotation Tool with 'shiny' GUI

A comprehensive text annotation tool built with 'shiny'. Provides an interactive graphical user interface for coding text documents, managing code hierarchies, creating memos, and analyzing coding patterns. Features include code co-occurrence analysis, visualization of coding patterns, comparison of multiple coding sets, and export capabilities. Supports collaborative qualitative research through standardized annotation formats and analysis tools.

Maintained by Chao Liu. Last updated 5 days ago.

4.48 score 5 scripts

josesamos

tab2xml:XML Generation from Tables

Converting structured data from tables into XML format using predefined templates ensures consistency and flexibility, making it ideal for data exchange, reporting, and automated workflows.

Maintained by Jose Samos. Last updated 1 months ago.

4.00 score 4 scripts

pandora-isomemo

Pandora:Retrieve Data using the API of the 'Pandora' Data Platform

API wrapper that contains functions to retrieve data from the 'Pandora' databases. Web services for API: <https://pandora.earth/>.

Maintained by Jan Abel. Last updated 2 months ago.

4.00 score 2 scripts

pik-piam

mredgebuildings:Prepare data to be used by the EDGE-Buildings model

Prepare data to be used by the EDGE-Buildings model.

Maintained by Robin Hasse. Last updated 16 days ago.

3.72 score

norawuerz

saeTrafo:Transformations for Unit-Level Small Area Models

The aim of this package is to offer new methodology for unit-level small area models under transformations and limited population auxiliary information. In addition to this new methodology, the widely used nested error regression model without transformations (see "An Error-Components Model for Prediction of County Crop Areas Using Survey and Satellite Data" by Battese, Harter and Fuller (1988) <doi:10.1080/01621459.1988.10478561>) and its well-known uncertainty estimate (see "The estimation of the mean squared error of small-area estimators" by Prasad and Rao (1990) <doi:10.1080/01621459.1995.10476570>) are provided. In this package, the log transformation and the data-driven log-shift transformation are provided. If a transformation is selected, an appropriate method is chosen depending on the respective input of the population data: Individual population data (see "Empirical best prediction under a nested error model with log transformation" by Molina and Martín (2018) <doi:10.1214/17-aos1608>) but also aggregated population data (see "Estimating regional income indicators under transformations and access to limited population auxiliary information" by Würz, Schmid and Tzavidis <unpublished>) can be entered. Especially under limited data access, new methodologies are provided in saeTrafo. Several options are available to assess the used model and to judge, present and export its results. For a detailed description of the package and the methods used see the corresponding vignette.

Maintained by Nora Würz. Last updated 10 months ago.

1 stars 3.70 score

nicolas-schmidt

esaps:Indicators of Electoral Systems and Party Systems

It allows structuring electoral data of different size and structure to calculate various indicators frequently used in the studies of electoral systems and party systems. Indicators of electoral volatility, electoral disproportionality, party nationalization and the effective number of parties are included.

Maintained by Nicolas Schmidt. Last updated 3 years ago.

electoral-systems nationalization-score party-nationalization party-systems

4 stars 3.30 score 5 scripts

gianluca-pastorelli

somhca:Self-Organising Maps Coupled with Hierarchical Cluster Analysis

Implements self-organising maps combined with hierarchical cluster analysis (SOM-HCA) for clustering and visualization of high-dimensional data. The package includes functions to estimate the optimal map size based on various quality measures and to generate a model using the selected dimensions. It also performs hierarchical clustering on the map nodes to group similar units. Documentation about the SOM-HCA method is provided in Pastorelli et al. (2024) <doi:10.1002/xrs.3388>.

Maintained by Gianluca Pastorelli. Last updated 2 months ago.

3.18 score

cran

aweSOM:Interactive Self-Organizing Maps

Self-organizing maps (also known as SOM, see Kohonen (2001) <doi:10.1007/978-3-642-56927-2>) are a method for dimensionality reduction and clustering of continuous data. This package introduces interactive (html) graphics for easier analysis of SOM results. It also features an interactive interface, for push-button training and visualization of SOM on numeric, categorical or mixed data, as well as tools to evaluate the quality of SOM.

Maintained by Julien Boelaert. Last updated 3 years ago.

3 stars 2.95 score 1 dependents

jessekps

dextergui:A Graphical User Interface for Dexter

Classical Test and Item analysis, Item Response analysis and data management for educational and psychological tests.

Maintained by Jesse Koops. Last updated 3 years ago.

2.70 score 6 scripts

albgarre

FSK2R:An Interface Between the 'FSKX' Standard and 'R'

Functions for importing, creating, editing and exporting 'FSK' files <https://foodrisklabs.bfr.bund.de/fskx-food-safety-knowledge-exchange-format/> using the 'R' programming environment. Furthermore, it enables users to run simulations contained in the 'FSK' files and visualize the results.

Maintained by Alberto Garre. Last updated 3 years ago.

2.70 score 6 scripts

ajpelu

famexploreR:Exploration of Threathened Flora field data

A shiny app that explores data from Threathened Flora. It uses customized forms to explore the data and generate several plots, tables.

Maintained by Antonio Jesús Pérez-Luque. Last updated 4 months ago.

pkg

2 stars 2.60 score 2 scripts

matt-dray

defenestrate:Helpers for Working with Microsoft's Online Services Programmatically

Some functions to simplify the process of working with files on Microsoft's online teamworking products (OneDrive, Teams). Built largely around the 'Microsoft365R' package.

Maintained by Matt Dray. Last updated 1 years ago.

microsoft365r onedrive teams

3 stars 2.18 score

kwb-r

kwb.geosalz:R Package for Documenting Workflow Used in Project "geosalz"

R Package for Documenting Workflow Used in Project "geosalz".

Maintained by Michael Rustler. Last updated 1 years ago.

data-cleaning data-import data-visualisation excel project-fakin project-geosalz spreadsheets

2.00 score 3 scripts

harry-maan

warabandi:Roster Generation of Turn for Weekdays:'warabandi'

It generates the roster of turn for an outlet which is flowing (water) 24X7 or 168 hours towards the area under command or agricutural area (to be irrigated). The area under command is differentially owned by different individual farmers. The Outlet runs for free of cost to irrigate the area under command 24X7. So, flow time of the outlet has to be divided based on an area owned by an individual farmer and the location of his land or farm. This roster is known as 'warabandi' and its generation in agriculture practices is a very tedious task. Calculations of time in microseconds are more error-prone, especially whenever it is performed by hands. That division of flow time for an individual farmer can be calculated by 'warabandi'. However, it generates a full publishable report for an outlet and all the farmers who have farms subjected to be irrigated. It reduces error risk and makes a more reproducible roster. For more details about warabandi system you can found elsewhere in Bandaragoda DJ(1995) <https://publications.iwmi.org/pdf/H_17571i.pdf>.

Maintained by Harvinder Singh. Last updated 4 years ago.

2.00 score 2 scripts

cran

IGoRRR:A Shiny Interface for Simple Data Management

Launches a shiny application generating code to view tables in several ways, import/export tables, modify tables, make some basic graphics. 'IGoR' is a graphic user interface designed to help beginners using simple functions around table management and exploration. Inspired by 'Rcmdr', 'IGoR' is a code generator that, with simple inputs under a Shiny application, provides R code mainly built around the 'tidyverse' or some packages in the direct line of the Mosaic project: the 'rio' and 'ggformula' packages. The generated code doesn't depend on IGoR and can be manually modified by the user or copied elsewhere.

Maintained by Jean-Luc Lipatz. Last updated 2 years ago.

1.00 score

maribelborrajo

LearningStats:Elemental Descriptive and Inferential Statistics

Provides tools to teach students elemental statistics. The main topics covered are descriptive statistics, probability models (discrete and continuous variables) and statistical inference (confidence intervals and hypothesis tests). One of the main advantages of this package is that allows the user to read quite a variety of types of data files with one unique command. Moreover it includes shortcuts to simple but up-to-now not in R descriptive features such a complete frequency table or an histogram with the optimal number of intervals. Related to model distributions (both discrete and continuous), the package allows the student to easy plot the mass/density function, distribution function and quantile function just detailing as input arguments the known population parameters. The inference related tools are basically confidence interval and hypothesis testing. Having defined independent commands for these two tools makes it easier for the student to understand what the software is performing, and it also helps the student to have a better knowledge on which specific tool they need to use in each situation. Moreover, the hypothesis testing commands provide not only the numeric result on the screen but also a very intuitive graph (which includes the statistic distribution, the observed value of the statistic, the rejection area and the p-value) that is very useful for the student to visualise the process. The regression section includes up to now, a simple linear model, with one single command the student can obtain the numeric summary as well as the corresponding diagram with the adjusted regression model and a legend with basic information (formula of the adjusted model and R-squared).

Maintained by María Isabel Borrajo-García. Last updated 4 years ago.

1.00 score 2 scripts

chockemeyer

CDSS:Course-Dependent Skill Structures

Deriving skill structures from skill assignment data for courses (sets of learning objects).

Maintained by Cord Hockemeyer. Last updated 1 years ago.

1.00 score