We will be using SFC syntax for the rest of this guide - the concepts around components are the same regardless of whether you are using a build step or not. The Examples section shows component usage in both scenarios.
It's also possible to globally register a component, making it available to all components in a given app without having to import it. The pros and cons of global vs. local registration is discussed in the dedicated Component Registration section.
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In SFCs, it's recommended to use PascalCase tag names for child components to differentiate from native HTML elements. Although native HTML tag names are case-insensitive, Vue SFC is a compiled format so we are able to use case-sensitive tag names in it. We are also able to use /> to close a tag.
If you are authoring your templates directly in a DOM (e.g. as the content of a native element), the template will be subject to the browser's native HTML parsing behavior. In such cases, you will need to use kebab-case and explicit closing tags for components:
The button doesn't do anything yet - we want clicking the button to communicate to the parent that it should enlarge the text of all posts. To solve this problem, components provide a custom events system. The parent can choose to listen to any event on the child component instance with v-on or @, just as we would with a native DOM event:
The worker node(s) host the Pods that arethe components of the application workload. Thecontrol plane manages the workernodes and the Pods in the cluster. In production environments, the control plane usuallyruns across multiple computers and a cluster usually runs multiple nodes, providingfault-tolerance and high availability.
The control plane's components make global decisions about the cluster (for example, scheduling),as well as detecting and responding to cluster events (for example, starting up a newpod when a Deployment'sreplicas field is unsatisfied).
Control plane components can be run on any machine in the cluster. However,for simplicity, setup scripts typically start all control plane components onthe same machine, and do not run user containers on this machine. SeeCreating Highly Available clusters with kubeadmfor an example control plane setup that runs across multiple machines.
Network plugins are softwarecomponents that implement the container network interface (CNI) specification. They are responsible forallocating IP addresses to pods and enabling them to communicate with each other within the cluster.
Components let you split the UI into independent, reusable pieces, and think about each piece in isolation. This page provides an introduction to the idea of components. You can find a detailed component API reference here.
Components can refer to other components in their output. This lets us use the same component abstraction for any level of detail. A button, a form, a dialog, a screen: in React apps, all those are commonly expressed as components.
Extracting components might seem like grunt work at first, but having a palette of reusable components pays off in larger apps. A good rule of thumb is that if a part of your UI is used several times (Button, Panel, Avatar), or is complex enough on its own (App, FeedStory, Comment), it is a good candidate to be extracted to a separate component.
It's recommended (but not required) to also use the styled-components Babel plugin if you can. It offers many benefits like more legible class names, server-side rendering compatibility, smaller bundles, and more.
As you can see, styled-components lets you write actual CSS in your JavaScript. This means you can use all the features of CSS you use and love, including (but by far not limited to) media queries, all pseudo-selectors, nesting, etc.
The last step is that we need to define what a primary button looks like. To do that we also import { css } from styled-components and interpolate a function into our template literal, which gets passed the props of our component:
Astro components are the basic building blocks of any Astro project. They are HTML-only templating components with no client-side runtime. You can spot an Astro component by its file extension: .astro.
Astro components are extremely flexible. Often, an Astro component will contain some reusable UI on the page, like a header or a profile card. At other times, an Astro component may contain a smaller snippet of HTML, like a collection of common tags that make SEO easy to work with. Astro components can even contain an entire page layout.
Components are designed to be reusable and composable. You can use components inside of other components to build more and more advanced UI. For example, a Button component could be used to create a ButtonGroup component:
It is not possible to dynamically generate an Astro slot name, such as within a map function. If this feature is needed within UI framework components, it might be best to generate these dynamic slots within the framework itself.
The most commonly-used components are installed by default. If you run agcloud alpha or gcloud beta command interactively and the alpha or betacomponent is not installed, the gcloud CLI asks you whether youwant to install it. An affirmative response installs the component and then runsthe command. Other components are installed on-demand by thegcloud CLI when you run commands that require them.
The gcloud CLI provides two components that containgcloud CLI alpha and beta commands. These components aren'tinstalled by default, but you can install them manually at any time after theinitial gcloud CLI installation. These components are:
If you need to revert to a previously known good version and installed thegcloud CLI directly (outside of a package manager, including usingthe interactive installer, static versions, Windows installer, or Homebrew),use gcloud components update to revert to the specified version:
Additional components that contain dependencies for gcloud CLIcommands are also available in the gcloud CLI, but aren't installed bydefault. For an exhaustive list of components, rungcloud components list.Additional components that can be installed are marked with the statusNot Installed.
If you installed the gcloud CLI through the aptor yum package managers, you can also installadditional gcloud CLI components using those same package managers. If yourpackage manager cannot find these packages, read theinstalling with apt orinstalling with yum guides to learn how to configure as a package source.
Dapr uses a modular design where functionality is delivered as a component. Each component has an interface definition. All of the components are interchangeable so that you can swap out one component with the same interface for another.
Name resolution components are used with the service invocation building block to integrate with the hosting environment and provide service-to-service discovery. For example, the Kubernetes name resolution component integrates with the Kubernetes DNS service, self-hosted uses mDNS and clusters of VMs can use the Consul name resolution component.
A workflow is custom application logic that defines a reliable business process or data flow. Workflow components are workflow runtimes (or engines) that run the business logic written for that workflow and store their state into a state store.
Dapr allows custom middleware to be plugged into the HTTP request processing pipeline. Middleware can perform additional actions on an HTTP request (such as authentication, encryption, and message transformation) before the request is routed to the user code, or the response is returned to the client. The middleware components are used with the service invocation building block.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F Baum (email available below). General contact details of provider: . ContentUndated material is presented at the end, although it may be more recent than other items2024 S459320 RENLABV: Stata module to rename (all) value labels to match the names of the assigned variables
by Dirk Enzmann S459319 USOS: Stata module for computing the unweighted sum of squares test for global goodness of fit after logistic model
by Ariel Linden S459318 OPL: Stata module for optimal policy learning
by Giovanni Cerulli S459317 GE_GRAVITY2: Stata module to solve a gravity model within the universal gravity class
by Rodolfo G. Campos & Iliana Reggio & Jacopo Timini S459316 EXITMA: Stata module to define the exit status of a meta-analysis
by Luis Furuya-Kanamori & Jazeel Abdulmajeed & Suhail AR Doi S459315 ROSNER: Stata module implementing Rosner's generalized extreme studentized deviate (ESD) procedure to detect multiple outliers
by Ariel Linden S459314 YATCHEW_TEST: Stata module to perform Yatchew (1997), de Chaisemartin, D'Haultfoeuille & Gurgand (2024) linearity test
by Clment de Chaisemartin & Xavier D'Haultfoeuille & Diego Ciccia & Felix Knau & Doulo Sow S459313 GARBAGE_MIXL: Stata module to perform Bayesian garbage class mixed logit model estimation
by Marcel F. Jonker S459312 RATIO_PLOT: Stata module to plot ratios and confidence intervals of specified variables
by Kabira Namit & Zaeen de Souza S459311 TWOWAY__WHISTOGRAM_GEN: Stata module for generating histogram variables using aweights or iweights
by Nicholas J. Cox S459310 WEAKIVTEST2: Stata module to compute Robust Test for Weak Instruments with Multiple Endogenous Regressors
by Lingyun Zhou S459309 ADODOWN: Stata module making Stata packages easier to develop and document using modern tools
by LSMS Team S459308 GET_PWMSE: Stata module to execute PWMSE-based model evaluation
by Xiaomeng Cui S459307 MEAN_CI_PLOT: Stata module to plot means and confidence intervals
by Zaeen de Souza & Kabira Namit S459306 STOCDOM: Stata module to compute bounds assuming stochastic dominance
by Alejandro Ome S459305 BMTEST: Stata module for computing the independent two-sample Brunner-Munzel test
by Ariel Linden S459304 LISTREG: Stata module for the analysis of list experiments using linear regression
by Ben Jann S459303 ECONSIG: Stata module to quickly calculate six types of economic significance to simplify your empirical process
by Shutter Zor S459302 ABRS: Stata module to provide Toolkit for counterfactuals based on a spatial equilibrium framework with heterogenous preferences by Ahlfeldt, Bald, Roth, Seidel: Measuring quality of life under spatial frictions"
by Gabriel Ahlfeldt S459301 XTTEIFECI: Stata module to provide Estimation and Inference of Treatment Effects through a Factor-Based Approach
by Guanpeng Yan S459300 AB2022: Stata module to provide Gradient Solver for Ahlfeldt & Barr (2022): The economics of skyscrapers
by Gabriel Ahlfeldt S459299 ISOGINI: Stata module to estimate isogini measures at different percentiles
by Louis Chauvel S459298 DLTABLE: Stata module to produce regression tables for Randomized Controlled Trials Using Double LASSO
by Adrien Bouguen S459297 HKPRLINK: Stata module to obtain and download disclosure reports from 1999-04-01 onward on the official website of the Hong Kong Stock Exchange
by Chuntao Li & Tianyao Luo & Muhammad Usman & Haitao Si S459296 XTREVU: Stata module to reverse the order of values of time series and panel data variables
by Ilya Bolotov S459295 MVFILTER: Stata module to compute multivariate time-series filter
by Gregorio Impavido S459294 TMPINVI: Stata module providing an iterated (multistep) Transaction Matrix (TM)-specific implementation of the LPLS estimator
by Ilya Bolotov S459293 VCE_MCOV: Stata module to compute the Leave-Cluster-Out-Crossfit (LCOC) variance estimates for user-chosen coefficients in a linear regression model
by Stanislav Anatolyev & Cheuk Fai Ng S459292 ODK_VALIDATE: Stata module to validdate ODK survey forms
by Kabira Namit S459291 COMPREG: Stata module to estimate a compositional regression with isometric log-ratio (ILR) transformation of the components
by Giacomo Zanello S459290 ILR: Stata module to compute a isometric log-ratio (ILR) transformation of a set of variables
by Giacomo Zanello S459289 NOPO: Stata module to perform Nopo (2008) matching decompositions
by Maximilian Sprengholz & Maik Hamjediers S459288 TSCB: Stata module to implement the two-stage cluster bootstrap estimator
by Daniel Pailair & Damian Clarke S459287 CCV: Stata module to implement the causal cluster variance estimator
by Daniel Pailair & Damian Clarke S459286 EVENTBASELINE: Stata module to correct event study after xthdidregress
by Miklos Koren S459285 BTA2SCORE: Stata module to generate beta to score
by Suppachai Lawanaskol & Jayanton Patumanond S459284 ONEDRIVE: Stata module to find and set Microsoft OneDrive local folder as Stata's working directory
by Giacomo Zanello S459283 FUNNELINST: Stata module to generate funnel plots for comparing institutional performance
by Ariel Linden & David J Spiegelhalter S459282 ARTBIN: Stata module to calculate sample size or power for randomized trials with binary outcomes
by Abdel Babiker & Friederike Maria-Sophie Barthel & Babak Choodari-Oskooei & Patrick Royston & Ella Marley-Zagar & Ian White S459281 ETH2GRECAL: Stata module to convert dates from the Ethiopian calendar to the Gregorian calendar
by Kalle Hirvonen S459280 EPITABLE: Stata module to more easily create table 2 and table 3 for epidemiological studies
by Laura Whiting & Zumin Shi P00004 PYDDOP: Python Module for Determining the Dimension of the Optimal Portfolio
by Alan Mustafa & Abdulnasser Hatemi-J2023 S459279 SVYCANON: Stata module to assess the statistical significance of the canonical correlations incorporating complex survey design factors
by Raul Cruz S459278 CPT: Stata module to compute optimal cut-points for empirical ROC curves and other ROC/AUC calculations
by Niels Henrik Bruun S459277 ISOCODES: Stata module to generate standardized country codes and names
by Leo Ahrens S459276 TIVA2023: Stata module to manipulate the OECD TiVA inter-country input-output tables database
by Charles Cadestin S459275 MANYWEAKIV: Stata module to implement the weak-identification robust jackknife AR test from Mikusheva and Sun (2022)
by Liyang Sun S459274 NORM_DIST: Stata module providing normal and inverse normal distribution functions with added mean and standard deviation
by Ariel Linden S459273 LPDID: Stata module implementing Local Projections Difference-in-Differences (LP-DiD) estimator
by Alexander Busch & Daniele Girardi S459272 REGHDFEJL: Stata module to estimate high-dimensional fixed-effect linear models using Julia
by David Roodman S459271 JULIA: Stata module to provide interface to Julia
by David Roodman S459270 QCM: Stata module to implement quantile control method (QCM) via Random Forest
by Guanpeng Yan & Qiang Chen S459269 NCA: Stata module to perform Necessary Condition Analysis (NCA)
by Daniele Spinelli & Jan Dul & Govert Buijs S459268 WWWHELP: Stata module to display the help document in PDF format of the specified command via browsers
by Yujun Lian S459267 PEERMEAN: Stata module to compute mean of Peer firms
by Yujun Lian S459266 LXHGET: Stata module to download datasets of lianxh.cn blogs or network
by Yujun Lian S459265 DISTILL: Stata module to assess heterogeneous treatment effects in randomized controlled trials
by Ariel Linden & John L. Adams S459264 WGTDISTRIM: Stata module for trimming extreme sampling weights
by Sebastian Lang & Daniel Klein S459263 MIXRANDREGRET: Stata module for fitting mixed random regret minimization models
by Ziyue Zhu & lvaro A. Gutirrez Vargas & Martina Vandebroek S459262 CENTILE2: Stata module to enhance centile command and provide additional definitions for computing sample quantiles
by Ariel Linden S459261 SUBMATRIX: Stata module to perform advanced matrix subscripting
by Daniele Spinelli S459260 REPKIT: Stata module providing utility toolkit for reproducibility
by DIME Analytics S459259 ARTCAT: Stata module to calculate sample size or power for a two-group trial with ordered categorical outcome
by Ian R. White & Ella Marley-Zagar & Tim P. Morris & Mahesh K. B. Parmar & Patrick Royston & Abdel G. Babiker S459258 MAXSUM: Stata module to compute the maximum value of a rolling sum
by Ariel Linden S459257 KAPPALATE: Stata module to estimate the local average treatment effect (LATE) using Abadie's kappa approach and other weighting estimators
by Derya Uysal & Tymon Soczyski & Jeffrey M. Wooldridge S459255 ZTREE2STATA: Stata module to import data created by z-Tree
by Kan Takeuchi S459255 CLASSIFYLASSO: Stata module to identify latent group structures via Classifier-Lasso
by Wenxin Huang & Yiru Wang & Lingyun Zhou S459254 DATEFRAC: Stata module to convert calendar dates to fractional years
by Tommy Morgan S459253 STCKAR: Stata module to draw stacked area graphs
by Jonathan Thiele S459252 PRESERVE_GLOBALS: Stata module to preserve global macros
by Daniel Klein S459251 HANOITOWER: Stata module to play Towers of Hanoi
by Kerry Du S459250 BOX_LOGSCALE: Stata module to create box plots on the log scale (generalising Tukey's definition of whiskers)
by Mark Chatfield S459249 FEDISTR: Stata module for plotting distributions after absorbing fixed effects
by Leo Ahrens S459248 NSTAGEBIN: Stata module to provide facilities for optimising and designing multi-arm multi-stage (MAMS) randomised controlled trials with binary outcomes
by Babak Choodari-Oskooei & Daniel J. Bratton & Mahesh KB Parmar S459247 PHEATPLOT: Stata module to visualize p-values
by Elisa Brini & Solveig T. Borgen & Nicolai T. Borgen S459246 POWER_CONCORD: Stata module to compute power and sample size for Lin's concordance correlation coefficient
by Ariel Linden & Lawrence Lin S459245 POWER_KAPPA: Stata module to compute power and sample size for the two-rater kappa statistic with two or more categories
by Ariel Linden S459243 POVGUIDE2: Stata module to compute Federal Poverty Guidelines by family size and year, 1973-2024
by Reginald Hebert S459243 POOLEDSD: Stata module to calculate pooled standard deviation for a continuous variable by a factor variable
by David Speed S459242 MAGREG: Stata module to calculate maximum agreement regression
by Matteo Bottai S459241 XTLOGLIN: Stata module to perform robust Lagrange multiplier test of linear and log-linear models against Box-Cox alternatives after regress or xtreg
by David Vincent S459240 TEXRESULTS2: Stata module to create external file of LaTex macros with results
by Gabrielle Sorresso S459239 IVCLOGLOG: Stata module to estimate a complementary log-log model with endogenous covariates, instrumented via the control function approach (i.e., 2SRI)
by William Liu S459238 WOOLDID: Stata module to estimate Difference-in-Differences Treatment Effects with Staggered Treatment Onset Using Heterogeneity-Robust Two-Way Fixed Effects Regressions
by Thomas A. Hegland S459237 IVMEDIATE: Stata module to perform causal mediation analysis in instrumental-variables regressions
by Christian Dippel & Andreas Ferrara & Stephan Heblich S459236 PLOT_CONFIDENTLY: Stata module to visualize the mean and confidence interval of a specified variable
by Zaeen de Souza & Kabira Namit S459235 CVEQUAL: Stata module to compute the equality of coefficients of variation (CV) from k populations
by Ariel Linden S459234 SETROOT: Stata module to find the root path of a project and set it as a global variable
by Sergio Correia S459233 REQUIRE: Stata module to ensure that installed packages have a minimum or exact version
by Sergio Correia & Matthew P. Seay S459232 MOUNTAINPLOT: Stata module to produce folded empirical distribution function curves (mountain plots)
by Ariel Linden S459231 REPEATABILITY: Stata module to compute the repeatability coefficient
by Ariel Linden S459230 WSCV: Stata module to compute the within-subject coefficient of variation
by Ariel Linden S459229 BIVPOISSON_ATE: Stata module to estimate Average Treatment Effects in Seemingly Unrelated Count Regression
by Abbie Zhang & James Fisher S459228 MSCOLOGIT: Stata module to estimate multiscale ordered logit model
by Markus Gangl S459227 BHAPKAR: Stata module to compute Bhapkar's test of marginal homogeneity between two raters for categorical observations
by Ariel Linden S459226 PMVALSAMPSIZE: Stata module to calculate the minimum sample size required for external validation of a multivariable prediction model
by Joie Ensor S459225 DIDPLACEBO: Stata module for in-time, in-space and mixed placebo tests for estimating difference-in-differences (DID) models
by Qiang Chen & Ji Qi & Guanpeng Yan S459224 MFCURVE: Stata module for plotting results from multifactorial research designs
by Daniel Krhmer S459223 PCM: Stata module to estimate the parameters of a Partial Credit Model (PCM) or of a Rating Scale Model (RSM)
by Jean-Benoit Hardouin & Myriam Blanchin S459222 DID_MULTIPLEGT_DYN: Stata module to estimate event-study Difference-in-Difference (DID) estimators in designs with multiple groups and periods, with a potentially non-binary treatment that may increase or decrease multiple times
by Clment de Chaisemartin & Diego Ciccia & Xavier D'Haultfoeuille & Felix Knau & Mlitine Malzieux & Doulo Sow S459221 MAXWELL: Stata module for computing Maxwell's random error (RE) coefficient of agreement between 2 raters for binary data
by Ariel Linden S459220 IOTA: Stata module to compute the iota coefficient of interrater agreement for interval or nominal multivariate observations
by Ariel Linden S459219 HKWARRANT: Stata module to download warrant or warrant's information associated with the codes you entered from Eastmoney.com
by Chuntao Li & Xiuping Mao & Tianyao Luo S459218 MLMR2: Stata module to compute r-squared measures for models estimated by mixed
by Anthony J. Gambino S459217 TITEBETA: Stata module to conduct toxicity monitoring for phase 2 (and 3) trials
by E. Paul Wileyto S459216 POWER_ICC: Stata module to compute power and sample size for one-way random-effects intraclass correlation
by Ariel Linden S459215 ROBINSON: Stata module to compute Robinson's coefficient of agreement
by Ariel Linden S459214 FINN: Stata module to compute Finn's coefficient of reliability
by Ariel Linden S459213 TREE: Stata module to model decision trees
by David Kantor S459212 XTSTFETCHCOVID19: Stata module to Download COVID-19 Datasets from the COVID-19 Data Hub
by Diallo Ibrahima Amadou S459211 GEOPLOT: Stata module to draw maps
by Ben Jann S459209 STAGGERED: Stata module implementing R staggered package based on Roth and Sant'Anna (2023)
by Mauricio Caceres Bravo & Jonathan Roth & Pedro H.C. Sant'Anna S459208 POWER_LOA: Stata module to compute power and sample size for limits of agreement (LOA) analysis
by Ariel Linden S459207 STPM3: Stata module to fit flexible parametric survival models
by Paul Lambert S459206 GENSPLINES: Stata module to generate various spline basis functions
by Paul Lambert S459205 PRETRENDS: Stata module to produce power calculations for pre-trends tests
by Mauricio Caceres Bravo & Jonathan Roth S459204 LOCPROJ: Stata module to estimate Local Projections
by Alfonso Ugarte Ruiz S459203 GRINSET: Stata module to add a graph as an inset to another graph
by Ben Jann S459202 KSMIRNOV2VAR: Stata module to perform the Kolmogorov-Smirnov test of the equality of distributions for two variables
by Michael Makovi S459201 DISTCOMP2VAR: Stata module to compare the distributions of two variables
by Michael Makovi S459200 POSW_POSIS: Stata module to implement the partialling-out estimator based on iterative sure independence screening
by David M. Drukker & Di Liu S459199 LTOP: Stata module to divide a dataset list into pages without splitting internal by-groups
by Roger Newson S459198 SCATTERFIT: Stata module to produce scatter plots with fit lines
by Leo Ahrens S459197 SOTABLE: Stata module to produce tests and confidence bands for multiple comparisons of two-sided or one-sided hypotheses
by David M. Drukker S459196 BUMPAREA: Stata module to produce bump area graphs
by Asjad Naqvi S459195 BUMPLINE: Stata module to produce bump line graphs
by Asjad Naqvi S459194 ECIC: Stata module to perform estimation and inference for changes in changes at extreme quantiles
by Yuya Sasaki & Yulong Wang S459193 CHATGPT: Stata module to allow users to interact with ChatGPT within Stata software and receive advice about Stata
by Chuntao Li & Xueren Zhang S459192 TTEIR: Stata module to prepare time-to-event data for incidence rates
by Niels Henrik Bruun S459191 PINOCCHIO: Stata module that randomly generates false econometric statements
by Marco Santacroce S459190 DGRAPH: Stata module for t test plots and tables
by Diego Ciccia S459189 RDMSE: Stata module to estimate the mean squared error of a local polynomial regression discontinuity or regression kink estimator
by Zhuan Pei S459188 AUDIT_CC: Stata module for analysis of matched case-control audits of cervical cancer screening
by Milena Falcaro S459187 CDIST: Stata module for counterfactual distribution estimation and decomposition of group differences
by Ben Jann S459186 CHIMCHAR: Stata module to thoroughly clean string variables
by Tommy Morgan S459185 CNPOI: Stata module to extract the specified information by keywords or types in a Chinese city
by Chuntao Li & Zeyuan Guo & Kong Meng S459184 EACF: Stata module to compute Extended Sample Autocorrelation Function
by Haowen Zheng S459183 REPLACEN: Stata module to replace contents in exactly n observations
by Hendri Adriaens S459182 STEP3: Stata module to relate latent class membership to external variables
by Giovanbattista Califano S459181 MIESIZE: Stata module to estimate effect sizes from multiply imputed data
by Paul A Tiffin S459180 CGSSM: Stata module implementing the contrasting groups' standard setting method
by Niels Henrik Bruun S459179 PIP: Stata module to access poverty and inequality data from the World Bank's Poverty and Inequality Platform (PIP)
by R. Andrs Castaeda S459178 STYLETEXTAB: Stata module to style LaTeX tables exported by collect suite of commands
by Gorkem Aksaray S459177 CDFQUANTREG01: Stata module for estimating generalized linear models for doubly-bounded random variables with finite-tailed cdf-quantile distributions
by Michael Smithson S459175 DDML: Stata module for Double/Debiased Machine Learning
by Achim Ahrens & Christian B. Hansen & Mark E Schaffer & Thomas Wiemann S459174 ROS: Stata module for estimation of regression order statistics
by Niels Henrik Bruun S459173 LNMOR: Stata module to compute marginal odds ratios after model estimation
by Ben Jann S459172 IPWLOGIT: Stata module to fit marginal logistic regression by inverse probability weighting
by Ben Jann S459171 RIFLOGIT: Stata module to fit unconditional logistic regression
by Ben Jann S459170 ROWSUM: Stata module for summing up values of observations and saving results to a new observation
by Pengzhan Qian S459169 DIVRATIO: Stata module for estimating diversion ratios and willingness-to-pay from a semiparametric choice model
by Chris Lau S459168 SCHEME_UKRI: Stata module to provide graphics scheme for UK Research and Innovation (UKRI) guidelines
by Tim Morris S459167 VENNBAR: Stata module to show Euler or Venn diagrams mapped to bar or dotcharts
by Nicholas J. Cox & Tim Morris S459166 PRETTY_SUITE: Stata module with programs to aid with routine reporting for clinical trials
by Rafael Gafoor S459165 TREECLUSTER: Stata module for plotting clustered trees
by Asjad Naqvi S459164 SUNBURST: Stata module for (half) sunburst plots
by Asjad Naqvi S459162 ASCVD: Stata module to compute ACC/AHA 10-year risk for an initial hard atherosclerotic cardiovascular disease (ASCVD) event
by Ariel Linden S459161 UPSETPLOT: Stata module to show Euler or Venn diagrams mapped to bar charts, upsetplot style
by Tim Morris & Nicholas J. Cox S459160 DISCRATES: Stata module to provide estimation and statistical test for gross and net discrimination rates
by Andreas Schneck S459159 JACCARD: Stata module to calculate Jaccard similarity or dissimilarity of sets
by Nicholas J. Cox S428801 FVSTRIP: Stata module for removing b/n/o factor variable operators from varlists
by Mark E Schaffer P00003 PyCPTAM: Python Module for Constructing Portfolios via Two Alternative Methods
by Alan Mustafa & Abdulnasser Hatemi-J2022 S459163 CNKCHART: Stata module to draw candlestick chart with Chinese stock prices
by Chuntao Li & Yizhuo Fang S459158 ELIX22: Stata module to compute Elixhauser comorbidity measures (version 2022.1)
by Ariel Linden S459157 FIND_DENOM: Stata module to find minimum sample size from percentages
by Nicholas J. Cox S459156 CLEANPLOTS: Stata module providing graphics scheme for easy and effective data visualizations
by Trenton D. Mize S459155 PULLIN: Stata module to run a many-to-one merge with a specific set of options
by Tommy Morgan S459154 SANKEY: Stata module for Sankey diagrams
by Asjad Naqvi S459153 ALLUVIAL: Stata module for Alluvial graphs
by Asjad Naqvi S459152 QQPLOTG: Stata module to draw quantile-quantile plots, generalized to allow groups and plotting difference vs mean
by Nicholas J. Cox S459151 PRISMSCORE: Stata module to calculate PRISM III and PRISM IV pediatric risk of mortality scores
by Razvan Azamfirei S459150 STATA_LINTER: Stata module providing a tool to detect and correct bad Stata coding practices
by DIME Analytics S459149 COOKSD2: Stata module to compute Cook's distance after regress or xtreg
by David Vincent S459148 CHESSPUZZLE: Stata module to solve small chess puzzles
by Dominik Flgel S459147 CHESSPOS: Stata module to print chess positions as graphs
by Dominik Flgel S459146 MPITB: Stata module to estimate and analyze multidimensional poverty indices (MPI)
by Nicolai Suppa S459145 SUPERCOMPRESS: Stata module to run compress on all datasets in a folder and its subfolders
by Tommy Morgan S459144 HKAR: Stata module to download historical financial data for a list of Hong Kong public firms from s.askci.com
by Chuntao Li & Tianyao Luo S459143 HKTRADE: Stata module to download historical stock transaction records for Hong Kong listed companies from Tencent.com
by Chuntao Li & Tianyao Luo S459142 LANY: Stata module to list values of variables for all observations in subsets of the data
by Maarten L. Buis S459141 CIRCLEBAR: Stata module to produce polar bar graphs
by Asjad Naqvi S459140 ROBNOVA: Stata module to calculate two robust ANOVA statistics, Welch's and Brown-Forsythe's
by David Speed S459139 POWER_ROC: Stata module to compute power and sample-size analysis for receiver operating characteristic (ROC) analysis
by Ariel Linden S459138 HONESTDID: Stata module implementing the HonestDiD R package
by Mauricio Caceres Bravo & Jonathan Roth & Ashesh Rambachan S459137 COUNTYFIPS: Stata module for merging U.S. county identifiers
by Christopher Goodman S459136 SPIDER: Stata module for spider plots
by Asjad Naqvi S459135 PHACK_DEROUND: Stata module to deround coefficients and standard errors for meta-analysis
by Nikolai Cook S459134 CNBORDER: Stata module to analyze locations in China vs geography
by Chuntao Li & Guangzhong Liu & Muhammad Usman S459133 TMPM2: Stata module to implement Trauma Mortality Prediction Model using AIS, ICD-9 or ICD-10 codes
by Alan Cook S459132 VIOLINPLOT: Stata module to draw violin plots
by Ben Jann S459131 TMPINV: Stata module to providing a non-iterated Transaction Matrix (TM)-specific implementation of the LPLS estimator
by Ilya Bolotov S459130 STTEX: Stata module to integrate Stata results into a LaTeX document
by Ben Jann S459129 POWER_TWOROC: Stata module to compute power and sample size for a two-sample (independent or paired) ROC test
by Ariel Linden S459128 GRMATGROUPS: Stata module to produce a scatter plot matrix with different marker symbols according to another variable
by Dominik Flgel S459127 FRAUSE: Stata module to access Wooldridge Stata datasets
by Fernando Rios-Avila S459126 PLOTTABS: Stata module providing fast graphing commands for large datasets
by Jan Kabtek S459125 ATTREGTEST: Stata module to implement the regression-based attrition tests proposed in Ghanem et al. (2022)
by Dalia Ghanem & Sarojini Hirshleifer & Karen Ortiz-Becerra S459124 EXBSAMPLE: Stata module to compute exchangeably weighted (or Bayesian) bootstraps
by Philippe Van Kerm S459123 TREEMAP: Stata module for treemaps
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