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Stata index

Commands, functions, operators and prefixes are listed separately below. The link opens a preferred example; its chapter contains further variants.

Commands

• about — Inspect R version and platform information
• ac — Autocorrelation function
• ado — Update installed packages
• adopath — Inspect the package library search path
• alpha — Estimate raw Cronbach alpha without reversing items
• ameans — Compare arithmetic, geometric and harmonic means
• anova — Analysis of variance
• append — Stack two datasets
• arch — ARCH(1) conditional-variance model
• areg — Regression absorbing one categorical variable
• arfima — Fractionally integrated ARMA estimation
• arfimasoc — Fractional-ARMA order comparison
• args — Receive two positional arguments in a function
• arima — ARIMA model
• arimasoc — ARMA information-criterion grid
• assert — Stop when a condition fails
• assertnested — Assert that districts belong to one region
• avplots — Added-variable plots
• bayesmh — Bayesian Gaussian regression with normal and inverse-gamma priors
• bayespredict — Posterior mean Gaussian regression response
• bayesreps — Replicated outcomes from a Gaussian posterior predictive distribution
• bayesstats — Posterior means, standard deviations and quantiles
• bayestest — Posterior probability of a positive slope
• betareg — Fit beta regression with a logit mean link
• binreg — Fit binomial regression on the or scale
• binscatter — Binned scatter plot
• biprobit — Fit jointly correlated binary probit equations
• bitest — Test a binary success probability exactly
• bitesti — Run an exact binomial test from counts
• boottest — Null-imposed wild cluster bootstrap using rademacher weights
• boxcox — Profile the Box-Cox response transformation parameter
• brier — Calculate the overall Brier mean probability score
• browse — View the data in a spreadsheet window
• bsample — Draw a nonparametric row-bootstrap sample
• bsqreg — Bootstrap quantile-regression inference
• bstat — Summarize stored bootstrap estimates, bias and standard error
• ca — Perform simple correspondence analysis of a contingency table
• camat — Perform correspondence analysis of a supplied count matrix
• candisc — Estimate canonical linear discriminant directions
• canon — Estimate canonical correlations between two variable sets
• carryforward — Carry the last observed value forward
• cc — Case-control cross-product odds ratio
• cci — Case-control cross-product odds ratio
• cd — Change the working directory
• cem — Coarsened exact matching on a categorical covariate
• centile — Estimate a median and bootstrap its confidence interval
• cf — Assert selected dataset values match
• changeeol — Normalize a text file to Unix newlines
• char — Store a custom column characteristic
• checksum — Compute a file integrity digest
• ci — Confidence interval of a mean
• cii — Compute an exact proportion interval from counts
• ciwidth — Calculate the anticipated full width of a mean interval
• clear — Remove a dataset from memory
• cloglog — Fit cloglog regression
• clonevar — Copy a variable
• cls — Clear the console
• cluster — K-means clustering
• clustermat — Cluster a precomputed dissimilarity matrix
• cnsreg — Fit OLS with two coefficients constrained to equality
• codebook — Describe every variable
• coefplot — Coefficient plot
• collapse — Replace the data with group means
• compare — Compare value ordering and missingness
• compress — Reduce safe whole-number storage to R integers
• confirm — Check that a variable exists
• constraint — Represent a linear equality constraint as a matrix
• continue — Skip the rest of one loop iteration
• contract — Replace observations with category frequencies
• contrast — Form group contrasts against the reference category
• copy — Copy a local file to a new path
• corr2data — Generate pseudo-data with exactly specified sample moments
• correlate — Correlation matrix (complete cases)
• corrgram — Autocorrelation and partial-autocorrelation table
• count — Number of rows
• cpoisson — Fit a right-censored Poisson count model
• creturn — Inspect R version, platform, paths and numeric limits
• cross — Every combination of rows from two datasets
• cs — Risk ratio and risk difference
• csdid — Staggered difference in differences
• csi — Risk ratio and risk difference
• cumsp — Cumulative spectral distribution
• cumul — Create the empirical cumulative distribution of a variable
• dataex — Create reproducible R code for a small data example
• datasignature — Store an exact R serialization for later comparison
• decode — Turn labelled values into text
• describe — List variables with their types and labels
• destring — Text to numbers
• dfbeta — Obtain standardized deletion influence on one slope
• dfgls — DF-GLS unit-root test with constant
• dfuller — ADF unit-root test with none and 0 augmentation lags
• did_imputation — Untreated-outcome imputation effects by event time
• didregress — Difference in differences (Stata 17+)
• dir — List the files in the working directory
• discrim — Fit LDA discriminant analysis
• display — Calculate and show a result
• distinct — Number of distinct combinations
• do — Run a script file
• dotplot — Show individual observations by category
• drawnorm — Draw independent standard normal columns jointly
• drdid — Two-period panel doubly robust DiD ATT point estimate
• drop — Drop a variable
• ds — List variable names
• dstdize — Direct standardization of stratum-specific rates
• dtable — Descriptive Table 1 (Stata 18+)
• duplicates — Count duplicated rows
• ebalance — Entropy balancing treated/control covariate moments through order 1
• egen — Ten groups of about equal size
• eivreg — Correct a simple regression slope for known predictor reliability
• elasticnet — Fit cross-validated elasticnet linear prediction
• encode — Turn text into labelled categories
• ereturn — Model statistics
• error — Raise a clear error from a function
• esize — Estimate Cohen standardized mean differences for two independent groups
• esizei — Compute a pooled-SD effect size from group summaries
• estat — Information criteria
• estimates — Keep a model for later
• eststo — Store a model for a table
• esttab — Regression table
• etable — Table of the last model (Stata 17+)
• eventstudyinteract — Sun-Abraham cohort-interacted event-study estimation
• exit — Return early from a function
• expand — Repeat each row n times
• expandcl — Duplicate whole groups with fresh group identifiers
• export — Export a CSV file
• factor — Factor analysis
• factormat — Fit maximum-likelihood factors from a correlation matrix
• fcast — Iterated bivariate VAR point forecasts
• fcollapse — Collapse means with the ftools public helper
• file — Write and close a UTF-8 text connection
• filefilter — Replace literal text throughout a small file
• fillin — Add rows for every combination of values
• findfile — Find a named file inside a specified directory
• findit — Find the R equivalent of a Stata command
• flevelsof — Store observed categories from the ftools levels helper
• fmerge — Perform a validated ftools-style one-to-one merge
• foreach — Same calculation for several variables
• forecast — Eight-period ARIMA forecast
• format — Display numbers with two decimals
• forvalues — Loop with a condition
• fracreg — Fit fractional logit regression with sandwich inference
• fralias — Read linked values dynamically without storing a copied column
• frame — Hold another dataset
• fre — Frequency table with totals
• frget — Copy a value through an established table link
• frlink — Build a many-to-one row link to a lookup table
• frunalias — Materialize a dynamically looked-up value as a column
• ftools — Inspect the R data-manipulation package version and availability
• gcollapse — Collapse group means using the gcollapse workflow
• gcontract — Create category counts and percentages with gcontract
• gdistinct — Count distinct values separately for several columns
• gduplicates — Tag all duplicates of compound keys
• gegen — Attach group means using a gegen-style workflow
• gencohort — Create first-treatment cohorts including never-treated units
• generate — Create a variable
• getmata — Convert a matrix into named data columns
• gettoken — Split the first simple token from the remaining text
• gisid — Assert a unique complete identifier with gisid
• glevelsof — Store sorted distinct categories with glevelsof
• glm — Generalised linear model
• global — Store a value for later use
• gquantiles — Assign four empirical quantile categories
• graph — Bar chart of group means
• greshape — Gather explicitly named wide columns with greshape
• gsort — Sort ascending and descending
• gstats — Cap both tails at explicitly selected empirical quartiles
• gtoplevelsof — Find the two most frequent complete categories
• gunique — Count unique complete row-key combinations
• hashsort — Stably sort by ascending group and descending value
• hausman — Hausman comparison of fixed and random effects
• heatplot — Heat map of the mean of z over binned x and y
• heckman — Heckman selection model
• help — Open the help page of a function
• hetregress — Fit a normal mean model with multiplicative heteroskedasticity
• hexdump — Inspect a file as hexadecimal byte values
• histogram — Histogram
• hotelling — Test a vector of means against zero with Hotelling T squared
• icc — Estimate a one-way individual-measure intraclass correlation
• if — Run code only if a condition holds
• import — Import a CSV file
• include — Execute helper code in the current evaluation environment
• infile — Import whitespace-separated numeric fields
• infix — Read adjacent fixed-width numeric fields
• input — Type in a small dataset
• insobs — Append two entirely missing observations
• inspect — Distribution, zeros and missing values of a variable
• intreg — Fit normal regression to interval-valued outcomes
• ipolate — Keep boundary missing values outside the interpolation range
• iqreg — Estimate slopes of the interquartile range
• ir — Incidence-rate ratio and rate difference
• irf — Reduced-form VAR(1) impulse-response matrices
• iri — Incidence-rate ratio and rate difference
• isid — Check that variables identify the rows
• istdize — Indirect standardization and mortality ratio
• ivlpirf — Instrumental-variable local-projection point responses
• ivreg2 — Instrumental variables with robust errors
• ivreghdfe — Instrumental variables with individual fixed effects
• ivregress — Instrumental variables (2SLS)
• jdbc — Load an entire SQL table through a DBI backend
• joinby — All pairs of rows within each id
• kap — Estimate unweighted Cohen kappa for two raters
• kdensity — Density plot
• keep — Keep some variables
• kmatch — Entropy balancing treated/control covariate moments through order 1
• ksmirnov — Kolmogorov-Smirnov test of equal distributions
• ktau — Kendall’s tau
• kwallis — Kruskal-Wallis test
• label — Label every value of a categorical variable
• labelbook — Inspect value-label dictionaries by column
• labmask — Assign existing text values as numeric value labels
• lasso — Fit cross-validated lasso linear prediction
• levelsof — Distinct values of a variable
• lincom — Linear combination of coefficients
• line — Line plot
• linktest — Regress an outcome on fitted values and their square
• list — Print the first and last rows
• local — Store a list of variable names
• log — Record console output in a file
• logistic — Logit model reported as odds ratios
• logit — Logit model
• lookfor — Find variables by name or label
• lowess — Smoothed scatter plot
• lpirf — Local-projection dynamic response to an external impulse
• lrtest — Likelihood-ratio test
• ltable — Actuarial life-table survival over fixed intervals
• macro — List defined objects
• manova — Test multivariate group differences using Pillai
• manovatest — Test a factor term in a fitted multivariate model
• margins — Average marginal effects
• marginsplot — Plot predictive margins
• mark — Create an inclusion marker from a condition
• markin — Find the row range enclosing a selected sample
• markout — Clear an inclusion marker when variables are incomplete
• marksample — Mark complete rows over supplied column names
• matlist — Format a numeric matrix for display
• matname — Name matrix columns
• matrix — Create a matrix
• mca — Analyze multiple categorical variables through indicator MCA
• mcc — McNemar comparison of matched binary exposures
• mcci — McNemar comparison of matched binary exposures
• mdesc — Missing values per variable
• mds — Fit classical metric multidimensional scaling
• mdsmat — Scale an existing dissimilarity matrix
• mean — Mean with its standard error
• mecloglog — Complementary-log-log random-intercept model with Laplace approximation
• median — Run a two-group median test
• meglm — Generalized mixed model with logit link
• melogit — Multilevel logit
• memory — Measure the memory occupied by one R table
• menbreg — Negative-binomial mixed model with quadratic mean variance
• menl — Nonlinear exponential growth with random asymptote coefficient
• meologit — Random-intercept cumulative-logit model
• meoprobit — Random-intercept cumulative-probit model
• mepoisson — Poisson random-intercept model with Laplace approximation
• meprobit — Probit random-intercept model with Laplace approximation
• merge — Merge with a match report
• meta — Declare generic effect sizes and sampling variances
• mhodds — Mantel-Haenszel common odds ratio
• mi — Multiple imputation
• missings — Report missing-value counts by numeric variable
• misstable — Missing values per variable
• mixed — Multilevel (mixed) linear model
• mkdir — Create a directory
• mkmat — Create a matrix from selected numeric variables
• mlexp — Maximize an explicitly defined normal likelihood
• mlogit — Multinomial logit
• mvdecode — Turn missing-value codes into missing
• mvencode — Turn missing values into a code
• mvreg — Fit multivariate multiple regression
• mvtest — Compute Mardia multivariate skewness and kurtosis tests
• nbreg — Negative binomial model
• net — Install a package from GitHub
• newey — Newey-West HAC coefficient inference
• nl — Fit a nonlinear exponential mean curve
• nlcom — Nonlinear combination of coefficients
• notes — Attach a note to a variable
• nptrend — Test an ordered trend in proportions
• numlabel — Prefix each label with its numeric code
• numlist — Expand a numeric list with a fixed step
• oaxaca — Blinder-Oaxaca decomposition
• odbc — Load selected rows from a SQL query
• ologit — Ordered logit
• oneway — One-way analysis of variance
• oprobit — Ordered probit
• order — Move variables to the front
• orthog — Orthogonalize centered predictor columns in their stated order
• orthpoly — Construct three orthogonal polynomial columns
• outfile — Export plain numeric fields with Stata-style missing text
• outreg2 — Regression table in a Word file
• pac — Partial autocorrelation function
• pca — Principal components
• pcamat — Perform PCA directly on a correlation matrix
• pchi — Compare empirical and chi-squared probabilities
• pcorr — Compute the partial correlation of y and x controlling z
• pctile — Quantile cutpoints
• pergram — Raw periodogram
• pnorm — Assess a standardized normal P-P relationship
• poisson — Poisson model
• post — Append one result observation
• postclose — Persist an accumulated result table
• postfile — Initialize a typed result accumulator
• power — Plan the sample size for a onemean t test
• pperron — Phillips-Perron Z-tau test with constant
• ppmlhdfe — Poisson model with fixed effects
• predict — Fitted values
• predictnl — Apply a nonlinear prediction transform with delta-method standard errors
• preserve — Keep a copy to return to
• probit — Probit model
• program — Write your own command
• proportion — Proportion in each category
• prtest — Test of a proportion
• prtesti — Compare proportions from aggregate sample sizes
• psdensity — Parametric AR(1) spectral density
• psmatch2 — Propensity-score nearest matching with replacement
• pstest — Standardized covariate balance before and after matching
• putdocx — Write a table to Word
• putexcel — Write results to Excel
• putmata — Copy numeric columns into an R matrix
• pwcompare — Compare all group pairs with Tukey simultaneous intervals
• pwcorr — Pairwise correlations
• pwd — Show the working directory
• pwmean — Compare group means using Bonferroni-adjusted pooled tests
• qchi — Compare sample quantiles with chi-squared quantiles
• qnorm — Normal quantile plot
• qqplot — Compare two empirical distributions with a Q-Q plot
• qreg — Median (quantile) regression
• quadchk — Sensitivity of mixed-logit estimates to quadrature points
• quantile — Plot ordered data against cumulative fractions
• query — Inspect current R output settings
• range — Create an evenly spaced grid including endpoints
• rangestat — Compute a mean over each closed numeric-key neighborhood
• ranksum — Wilcoxon rank-sum (Mann-Whitney) test
• rdbwdensity — Bandwidth selection for density discontinuity
• rdbwselect — RD bandwidth selection: mserd
• rddensity — Density continuity at the treatment threshold
• rdrobust — Regression discontinuity
• recast — Change the storage type
• recode — Recode ranges of values
• reghdfe — High-dimensional fixed effects
• regress — Linear regression
• rename — Rename a variable
• replace — Change a variable
• require — Require an installed R workflow dependency
• reshape — Wide to long
• return — See the results a command stored
• robvar — Test equal group variances using median-centered Levene inference
• roccomp — Compare paired marker ROC areas using DeLong inference
• roctab — Estimate a nonparametric ROC area for a marker
• rolling — Rolling-window regression coefficients
• rotate — Rotate factor loadings using varimax
• rotatemat — Rotate an externally supplied loading matrix
• rreg — Robust regression
• runtest — Test whether a binary threshold sequence has random runs
• rvfplot — Residuals against fitted values
• sample — Reproducible random sample of 1000 rows
• save — Save as a Stata dataset
• saveold — Save for an older Stata version
• savespss — Save the data as an SPSS file
• scalar — Store a single number
• scatter — Scatter plot
• sdtest — Compare variances of two independent normal samples
• sdtesti — Compare variances from sample sizes and standard deviations
• search — Search all installed help pages
• sem — Structural equation model
• separate — Create group-specific copies of a numeric column
• seqvar — Create a specified integer sequence with a deliberate gap
• serrbar — Plot supplied estimates and standard errors
• set — Start a dataset with a given number of rows
• setroot — Locate a project root from a marker file
• signrank — Wilcoxon signed-rank test
• signtest — Test the median paired difference using signs
• sktest — Skewness and kurtosis
• sleep — Pause execution using milliseconds converted to seconds
• slogit — Fit a rank-one stereotype multinomial logit model
• snapshot — Save a temporary on-disk data snapshot
• snapspan — Convert snapshots to intervals with covariates applying forward
• sort — Sort in ascending order
• spbalance — Balance a spatial panel by retaining common time periods
• spdistance — Distance between two identified planar locations
• spearman — Spearman rank correlation
• spgenerate — Compute a spatially lagged covariate
• spikeplot — Plot spikes for the frequencies of distinct values
• split — Split text into several variables
• splitsample — Assign a balanced random half-split
• spmatrix — Row-standardized inverse-distance spatial weights
• spset — Declare planar point geometry and coordinate reference system
• sqreg — Fit several conditional quantiles together
• ssc — Install a package
• sspace — Local-level state-space model
• stack — Stack two columns vertically with a source indicator
• stbase — Keep baseline record for each subject
• stci — Median survival with confidence limits
• stcox — Cox proportional hazards model
• stcrreg — Fine-Gray subdistribution-hazard workflow
• stdescribe — Describe single-record survival data
• stem — Stem-and-leaf display
• stfill — Carry observed covariates forward within survival subjects
• stgen — Mark subjects ever exposed during their observed survival history
• stintreg — Weibull regression for interval-censored outcomes
• stir — Compare two incidence rates
• stjoin — Rejoin adjacent constant-covariate spells
• stmh — Mantel-Haenszel stratified incidence-rate-ratio point estimate
• stptime — Crude incidence rate from person-time
• strate — Group-specific rates per thousand person-time units
• streg — Parametric survival model
• sts — Kaplan-Meier curve
• stset — Declare survival-time data
• stsplit — Split risk intervals at fixed cut points
• stsum — Summary of survival times
• sttocc — Sample nested case-control risk sets from a cohort
• stvary — Check within-subject covariate variation and missingness
• summarize — Summary statistics for all variables
• svmat — Convert matrix columns to named variables
• svydescribe — Describe the survey design
• svyset — Declare a survey design
• swilk — Shapiro-Wilk normality test
• symmetry — Test symmetry in a matched binary table
• symmi — Test matched-table symmetry directly from cell counts
• symplot — Check symmetry around the sample median
• syntax — Validate a numeric column argument and an optional scalar
• synth — Synthetic control
• sysdir — Inspect R installation and temporary directories
• sysuse — Load an example dataset
• tab1 — One frequency table per variable
• tab2 — Cross-tabulation of two variables
• tabdisp — Display a complete table of precomputed cell values
• tabi — Run a Pearson test from immediate cell counts
• table — Joint frequencies of several variables
• tabodds — Odds of disease by exposure category
• tabstat — Chosen statistics by group
• tabulate — One-way frequency table
• tebalance — Covariate balance before and after weighting
• teffects — Propensity-score matching
• tempfile — A temporary file
• tempname — Use a temporary scalar inside local scope
• tempvar — Compute with a temporary vector in a local scope
• teoverlap — Propensity-score overlap summary by treatment
• test — Test a hypothesis about coefficients
• testnl — Test an exponentiated coefficient with a nonlinear Wald test
• testparm — Jointly test a categorical predictor
• tetrachoric — Estimate a tetrachoric correlation by maximum likelihood
• timer — Time how long code takes
• tnbreg — Fit zero-truncated NB2 regression
• tobit — Censored (tobit) regression
• tokenize — Split simple whitespace-separated tokens
• tostring — Numbers to text
• tpoisson — Fit zero-truncated Poisson regression
• truncreg — Fit a zero-left-truncated normal regression
• tsfill — Add rows for missing time points
• tsfilter — Hodrick-Prescott trend and cycle decomposition
• tsline — Time-series line plot
• tsreport — Locate missing time periods
• tsset — Declare time-series data
• tssmooth — Centered five-term moving average
• ttest — Two-sample t test
• ttesti — Run a one-mean t test from summary statistics
• twoway — Scatter plot with a fitted line
• type — Read lines from a UTF-8 text file
• ucm — Unobserved components: level
• unab — Expand a column-name prefix wildcard
• unabcmd — Resolve a unique abbreviation among known R choices
• unicode — Convert a Latin-1 text file to UTF-8
• univar — Detailed univariate statistics
• unzipfile — Extract a ZIP archive into a chosen temporary directory
• use — Open a Stata dataset
• uselabel — Make a value-label dictionary table
• var — Unrestricted bivariate VAR(1) by equation OLS
• vargranger — Test whether x Granger-predicts y
• varstable — Eigenvalues of the VAR(1) companion matrix
• vec — Rank-one vector error-correction model
• vecrank — Johansen trace rank test with a restricted constant
• version — Version control
• viewsource — Inspect the body of a named R function
• vif — Variance inflation factors
• vioplot — Violin plot
• webuse — Load an example dataset from the Stata website
• which — Where a command comes from
• while — Repeat while a condition holds
• winsor2 — Winsorise at the 1st and 99th percentiles
• wntestq — Ljung-Box serial-correlation portmanteau test
• xcorr — Cross-correlation at positive and negative lags
• xi — Create indicator variables omitting the lowest category
• xpose — Transpose the data
• xtabond — Dynamic panel (Arellano-Bond)
• xtcloglog — Random-intercept panel cloglog
• xtdescribe — How many periods each panel unit has
• xtdidregress — Panel difference-in-differences with unit and period fixed effects
• xtdpd — One-step difference GMM for a dynamic panel
• xtdpdsys — System GMM with level and differenced equations
• xtgee — gaussian GEE with independence working correlation
• xtgls — Group-heteroskedastic panel GLS by maximum likelihood
• xthtaylor — Hausman-Taylor model with time-varying and invariant endogenous covariates
• xtile — Quantile groups
• xtivreg — Fixed-effects instrumental-variable regression
• xtline — One line plot per panel unit
• xtlogit — Conditional (fixed-effects) logit
• xtologit — Random-intercept cumulative-logit model
• xtoprobit — Random-intercept cumulative-probit model
• xtpcse — Beck-Katz panel-corrected covariance
• xtpoisson — Fixed-effects Poisson
• xtprobit — Random-intercept panel probit
• xtrc — Random-coefficient panel model workflow
• xtreg — Panel fixed effects
• xtregar — Random intercept with AR(1) residual correlation
• xtscc — Driscoll-Kraay covariance
• xtset — Declare panel data
• xtsum — Overall and within standard deviations
• xttest0 — Breusch-Pagan test of individual random effects
• xtunitroot — Panel unit-root test: levinlin
• zinb — Fit a zero-inflated NB2 count model
• zip — Fit zero-inflated Poisson with logit zero inflation
• zipfile — Create a ZIP archive containing a text file
• ztest — Test a mean using a known population standard deviation
• ztesti — Compare independent means from known-variance summaries

Functions

• betaden — Evaluate the beta density
• binomial — Compute an inclusive binomial lower tail
• binomialp — Evaluate a binomial probability mass
• binomialtail — Compute an inclusive binomial upper tail
• binormal — Evaluate a correlated bivariate normal probability
• cauchy — Evaluate the Cauchy cumulative probability
• cauchyden — Evaluate the Cauchy density
• cauchytail — Evaluate the Cauchy upper-tail probability
• ceil — Round up
• chi2 — Evaluate the chi-squared cumulative probability
• chi2den — Evaluate the chi-squared density
• chi2tail — Evaluate the chi-squared upper-tail probability
• clock — Text to a date-time
• cofd — Convert R dates to Stata midnight millisecond codes
• cond — One value if a condition holds, another if not
• date — Text to a date
• day — Day of the month
• daysinmonth — Get the number of days in each calendar month
• dofc — Convert Stata millisecond datetimes to dates
• dofm — First day of a monthly period
• dofq — Convert Stata quarterly codes to quarter-start dates
• dofy — Construct the first day of each year
• dow — Day of the week
• doy — Extract day-of-year numbers
• exponential — Evaluate the exponential cumulative probability
• exponentialden — Evaluate the exponential density
• exponentialtail — Evaluate the exponential upper-tail probability
• F — Evaluate the F cumulative probability
• Fden — Evaluate the F density
• firstdayofmonth — Find the first date of each calendar month
• floor — Round down
• Ftail — Evaluate the F upper-tail probability
• gammaden — Evaluate the gamma density
• gammap — Evaluate the gamma cumulative probability
• gammaptail — Evaluate the gamma upper-tail probability
• halfyear — Extract half-year numbers
• hh — Extract the hour from a UTC timestamp
• hypergeometric — Compute an inclusive hypergeometric lower tail
• hypergeometricp — Evaluate a hypergeometric probability mass
• ibeta — Evaluate the beta cumulative probability
• ibetatail — Evaluate the beta upper-tail probability
• inlist — Whether x equals any listed value
• inrange — Whether x lies within a range
• invbinomial — Solve a binomial CDF for its success probability
• invbinomialtail — Solve an inclusive binomial tail for success probability
• invcauchy — Find the Cauchy 90th percentile
• invcauchytail — Find a Cauchy upper-tail critical value
• invchi2 — Find the chi-squared 90th percentile
• invchi2tail — Find a chi-squared upper-tail critical value
• invexponential — Find the exponential 90th percentile
• invexponentialtail — Find a exponential upper-tail critical value
• invF — Find the F 90th percentile
• invFtail — Find a F upper-tail critical value
• invgammap — Find the gamma 90th percentile
• invgammaptail — Find a gamma upper-tail critical value
• invibeta — Find the beta 90th percentile
• invibetatail — Find a beta upper-tail critical value
• invlogistic — Find the logistic 90th percentile
• invlogistictail — Find a logistic upper-tail critical value
• invnbinomial — Solve a negative-binomial CDF for success probability
• invnbinomialtail — Solve a negative-binomial tail for success probability
• invnchi2 — Find a nchi2 noncentral critical value
• invnchi2tail — Find a nchi2 noncentral upper-tail critical value
• invnF — Find a nF noncentral critical value
• invnFtail — Find a nF noncentral upper-tail critical value
• invnibeta — Find a nibeta noncentral critical value
• invnormal — Find the standard normal 90th percentile
• invnt — Find a nt noncentral critical value
• invnttail — Find a nt noncentral upper-tail critical value
• invpoisson — Solve a Poisson CDF for its mean
• invpoissontail — Solve an inclusive Poisson tail for its mean
• invt — Find the Student t 90th percentile
• invttail — Find a Student t upper-tail critical value
• invtukeyprob — Find a Tukey simultaneous-comparison critical value
• invweibull — Find the Weibull 90th percentile
• invweibullph — Find a PH Weibull percentile
• invweibullphtail — Find a PH Weibull upper-tail quantile
• invweibulltail — Find a Weibull upper-tail critical value
• ln — Natural logarithm
• lncauchyden — Evaluate a Cauchy log density
• lnigammaden — Evaluate an inverse-gamma log density
• lnmvnormalden — Evaluate a multivariate normal log density
• lnnormal — Compute a stable extreme normal log probability
• lnnormalden — Evaluate a normal log density with location and scale
• logisticden — Evaluate the logistic density
• logistictail — Evaluate the logistic upper-tail probability
• lower — Lower case
• mdy — Date from year, month and day
• missing — Whether a value is missing
• mm — Extract the minute from a UTC timestamp
• mofd — Monthly period from a date
• month — Month of a date
• nbetaden — Evaluate the nibeta noncentral density
• nbinomial — Compute an inclusive nbinomial lower tail
• nbinomialp — Evaluate a nbinomial probability mass
• nbinomialtail — Compute an inclusive nbinomial upper tail
• nchi2 — Evaluate the nchi2 noncentral CDF
• nchi2den — Evaluate the nchi2 noncentral density
• nchi2tail — Evaluate the nchi2 noncentral upper tail
• nF — Evaluate the nF noncentral CDF
• nFden — Evaluate the nF noncentral density
• nFtail — Evaluate the nF noncentral upper tail
• nibeta — Evaluate the nibeta noncentral CDF
• normal — Evaluate the standard normal cumulative probability
• normalden — Evaluate the standard normal density
• npnchi2 — Solve a noncentral chi-squared probability for noncentrality
• npnF — Solve a noncentral F probability for noncentrality
• npnt — Solve a noncentral t probability for noncentrality
• nt — Evaluate the nt noncentral CDF
• nttail — Evaluate the nt noncentral upper tail
• poissonp — Evaluate a poisson probability mass
• poissontail — Compute an inclusive poisson upper tail
• qofd — Quarterly period from a date
• quarter — Extract calendar quarter numbers
• rbeta — Simulate rbeta variates
• rbinomial — Simulate rbinomial variates
• rcauchy — Simulate rcauchy variates
• rchi2 — Simulate rchi2 variates
• real — Text to a number
• regexm — Match a regular expression
• regexr — Replace the first regular-expression match
• regexreplaceall — Replace all numeric runs in text
• regexs — Extract the matching text
• rexponential — Simulate rexponential variates
• rgamma — Simulate rgamma variates
• rhypergeometric — Simulate rhypergeometric variates
• rlogistic — Simulate rlogistic variates
• rnbinomial — Simulate rnbinomial variates
• rnormal — Normal random numbers
• round — Round
• rpoisson — Simulate rpoisson variates
• rt — Simulate rt variates
• runiform — Uniform random numbers
• rweibull — Simulate rweibull variates
• ss — Extract seconds from a UTC timestamp
• string — Number to text
• stritrim — Collapse repeated spaces
• strlen — Length of a string
• strlower — Lower case
• strltrim — Trim leading ASCII spaces only
• strmatch — Match a wildcard pattern
• strofreal — Format a number as zero-padded text
• strpos — Whether a string contains some text
• strproper — Title case
• strreverse — Reverse plain ASCII text
• strrtrim — Trim trailing ASCII spaces only
• strtoname — Turn text into a valid name
• strtrim — Remove leading and trailing spaces
• strupper — Upper case
• subinstr — Replace text
• subinword — Replace a complete word in simple ASCII text
• substr — Part of a string
• sum — Running sum
• t — Evaluate the Student t cumulative probability
• tden — Evaluate the Student t density
• ttail — Evaluate the Student t upper-tail probability
• tukeyprob — Evaluate a studentized-range cumulative probability
• uchar — Create characters from Unicode code points
• upper — Upper case
• ustrlen — Count Unicode code points
• ustrlower — Lowercase Unicode text with an explicit locale
• ustrnormalize — Normalize canonically equivalent Unicode text
• ustrpos — Locate a Unicode substring by code-point position
• ustrregexm — Unicode-aware regular expression, ignoring case
• ustrregexra — Replace every ICU regex match
• ustrregexrf — Replace the first ICU regex match
• ustrreverse — Reverse Unicode code-point order
• ustrtrim — Trim Unicode whitespace
• ustrupper — Uppercase Unicode text with an explicit locale
• usubstr — Extract one Unicode code point by position
• weibull — Evaluate the Weibull cumulative probability
• weibullden — Evaluate the Weibull density
• weibullph — Use the proportional-hazards Weibull parameterization
• weibullphden — Evaluate a PH Weibull density
• weibullphtail — Evaluate a PH Weibull survivor probability
• weibulltail — Evaluate the Weibull upper-tail probability
• word — The first word of a string
• wordcount — Number of words
• year — Year of a date
• ym — Construct Stata monthly codes from year and month
• yq — Construct Stata quarterly codes from year and quarter

Operators

• d. — First difference within each panel
• f. — Lead within each panel
• l. — Lag within each panel

Prefixes

• bayesboot — Use Bayesian-bootstrap Dirichlet weights for a slope
• bootstrap — Bootstrap standard errors
• capture — Run code and report success instead of stopping
• jackknife — Jackknife standard errors
• nestreg — Compare successively added regression blocks
• permute — Generate a permutation distribution for a regression slope
• quietly — Run without printing
• simulate — Simulate the sampling distribution of a normal sample mean
• svy — Survey-weighted mean