Access Tidy Education Finance Data

Provides easy access to tidy education finance data using Bellwether's methodology to combine NCES F-33 Survey, Census Bureau Small Area Income Poverty Estimates (SAIPE), community data from the ACS 5-Year Estimates, the Comparable Wage Index for Teachers (CWIFT) from NCES EDGE, and school district land area from U.S. Census Bureau Gazetteer Files. The package simplifies downloading, caching, and filtering education finance data by year and state, enabling researchers and analysts to explore K-12 education funding patterns, revenue sources, expenditure categories, and demographic factors across U.S. school districts.

Weighted Tidy Log Odds Ratio

How can we measure how the usage or frequency of some feature, such as words, differs across some group or set, such as documents? One option is to use the log odds ratio, but the log odds ratio alone does not account for sampling variability; we haven't counted every feature the same number of times so how do we know which differences are meaningful? Enter the weighted log odds, which 'tidylo' provides an implementation for, using tidy data principles. In particular, here we use the method outlined in Monroe, Colaresi, and Quinn (2008) to weight the log odds ratio by a prior. By default, the prior is estimated from the data itself, an empirical Bayes approach, but an uninformative prior is also available.

Download and Tidy 'HMRC' Statistical Data

Provides functions to download, parse, and tidy statistical data published by 'HM Revenue and Customs' ('HMRC') on 'GOV.UK'. Returns annotated 'hmrc_tbl' data frames with provenance metadata (source URL, fetch time, vintage, cell methods) for reproducible fiscal research. Covers monthly tax receipts (41 tax heads from 2008), 'VAT' (from 1973), fuel duties (from 1990), tobacco duties (from 1991), annual 'Corporation Tax' receipts, stamp duty, research and development tax credit statistics (from 2000), tax gap estimates, 'Income Tax' liabilities by income range, and monthly property transaction counts. File URLs are resolved at runtime via the 'GOV.UK' Content API < https://www.gov.uk/api/content>, so data is always current without hardcoded URLs. Files are cached locally between sessions.

Tidy and Streamlined Metabolomics Data Workflows

Facilitate tasks typically encountered during metabolomics data analysis including data import, filtering, missing value imputation (Stacklies et al. (2007) , Stekhoven et al. (2012) , Tibshirani et al. (2017) , Troyanskaya et al. (2001) ), normalization (Bolstad et al. (2003) , Dieterle et al. (2006) , Zhao et al. (2020) ) transformation, centering and scaling (Van Den Berg et al. (2006) ) as well as statistical tests and plotting. 'metamorphr' introduces a tidy (Wickham et al. (2019) ) format for metabolomics data and is designed to make it easier to build elaborate analysis workflows and to integrate them with 'tidyverse' packages including 'dplyr' and 'ggplot2'.

A Tidy Format Datasets of Dengue by Country

Provides a weekly, monthly, yearly summary of dengue cases by state/ province/ country.

Tidy Tools for Joinpoint Regression Models

Provides tools to fit joinpoint regression models with a log-linear specification by levels of a categorical variable. The package acts as a wrapper around the 'segmented' package, facilitating model fitting, selection, and interpretation. It includes functions to estimate the Annual Percent Change (APC) and the Average Annual Percent Change (AAPC), along with their 95% confidence intervals, and to generate formatted summary tables and plots of results.

A Service for Tidy Transcriptomics Software Suite

It provides generic methods that are used by more than one package, avoiding conflicts. This package will be imported by 'tidySingleCellExperiment' and 'tidyseurat'.

Tidy Schema Validation for Data Frames

Validate data.frames against schemas to ensure that data matches expectations. Define schemas using 'tidyselect' and predicate functions for type consistency, nullability, and more. Schema failure messages can be tailored for non-technical users and are ideal for user-facing applications such as in 'shiny' or 'plumber'.

Tidy Multiverse Analysis Made Simple

Extends 'multiverse' package (Sarma A., Kale A., Moon M., Taback N., Chevalier F., Hullman J., Kay M., 2021) , which allows users perform to create explorable multiverse analysis in R. This extension provides an additional level of abstraction to the 'multiverse' package with the aim of creating user friendly syntax to researchers, educators, and students in statistics. The 'mverse' syntax is designed to allow piping and takes hints from the 'tidyverse' grammar. The package allows users to define and inspect multiverse analysis using familiar syntax in R.

Tidy Intensive Longitudinal Data Analysis

A reproducible, tidyverse-style framework for intensive longitudinal data analysis in R, with built-in methodological safeguards, provenance tracking, and reporting tools. Encodes time structure, enforces within-between decomposition, provides spacing-aware lags, and integrates diagnostics and visualization. Use ild_prepare(), ild_center(), ild_lag(), and related functions for a unified pipeline from raw EMA/diary data to interpretable models.