| intro |
Introduction to base reference manual |
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| about |
Display information about my version of Stata |
| adjust |
Tables of adjusted means and proportions |
| alpha |
Cronbach's alpha |
| anova |
Analysis of variance and covariance |
| append |
Append datasets |
| areg |
Linear regression with a large dummy-variable set |
| assert |
Verify truth of claim |
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| binreg |
Generalized linear models: extensions to the binomial family |
| biprobit |
Bivariate probit models |
| bitest |
Binomial probability test |
| bootstrap |
Bootstrap sampling and estimation |
| boxcox |
Box–Cox regression models |
| brier |
Brier score decomposition |
| by |
Repeat Stata command on subsets of the data |
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| canon |
Canonical correlations |
| cd |
Change directory |
| centile |
Report centile and confidence interval |
| cf |
Compare two datasets |
| checksum |
Calculate checksum of file |
| ci |
Confidence intervals for means, proportions, and counts |
| clogit |
Conditional (fixed-effects) logistic regression |
| cloglog |
Maximum-likelihood complementary log-log estimation |
| cnsreg |
Constrained linear regression |
| codebook |
Produce a codebook describing the contents of data |
| collapse |
Make dataset of means, medians, etc. |
| compare |
Compare two variables |
| compress |
Compress data in memory |
| constraint |
Define and list constraints |
| contract |
Make dataset of frequencies |
| copy |
Copy file from disk or URL |
| copyright |
Display copyright information |
| corr2data |
Create a dataset with a specified correlation structure |
| correlate |
Correlations (covariances) of variables or estimators |
| count |
Count observations satisfying specified condition |
| cross |
Form every pairwise combination of two datasets |
| cumul |
Cumulative distribution |
| cusum |
Cusum plots and tests for binary variables |
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| data types |
Quick reference for data types |
| db |
Launch dialog |
| describe |
Describe contents of data in memory or on disk |
| destring |
Change string variables to numeric |
diagnostic plots |
Distributional diagnostic plots |
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| dir |
Display filenames |
| display |
Substitute for a hand calculator |
| do |
Execute commands from a file |
| doedit |
Edit do-files and other text files |
| dotplot |
Comparative scatterplots |
| drawnorm |
Draw a sample from a normal distribution |
| drop |
Eliminate variables or observations |
| dstdize |
Direct and indirect standardization |
| duplicates |
Inform on, tag, or drop duplicate observations |
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| edit |
Edit and list data using Data Editor |
| egen |
Extensions to generate |
| eivreg |
Errors-in-variables regression |
| encode |
Encode string into numeric and vice versa |
| erase |
Erase a disk file |
| error messages |
Error messages and return codes |
| estimates |
Estimation results |
| estimation commands |
Quick reference for estimation commands |
| exit |
Exit Stata |
| expand |
Duplicate observations |
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| factor |
Factor analysis |
| fillin |
Rectangularize dataset |
| for |
Repeat Stata command |
| format |
Specify variable display format |
| fracpoly |
Fractional polynomial regression |
| frontier |
Stochastic frontier models |
| functions |
Functions |
| generate |
Create or change contents of variable |
| glm |
Generalized linear models |
| glogit |
Logit and probit on grouped data |
| grmeanby |
Graph means and medians by categorical variables |
| grsort |
Ascending and descending sort |
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| hausman |
Hausman specification test |
| heckman |
Heckman selection model |
| heckprob |
Maximum-likelihood probit estimation with selection |
| help |
Obtain online help |
| hetprob |
Maximum-likelihood heteroskedastic probit estimation |
| histogram |
Histograms for continuous and categorical variables |
| hotelling |
Hotelling's T-squared generalized means test |
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| icd9 |
ICD-9-CM diagnostic and procedure codes |
| impute |
Predict missing values |
| infile |
Quick reference for reading data into Stata |
| infile (fixed format) |
Read ASCII (text) data in fixed format with a dictionary |
| infile (free format) |
Read unformatted ASCII (text) data |
| infix (fixed format) |
Read ASCII (text) data in fixed format |
| input |
Enter data from keyboard |
| insheet |
Read ASCII (text) data created by a spreadsheet |
| inspect |
Display simple summary of data's characteristics |
| ipolate |
Linearly interpolate (extrapolate) values |
| isid |
Check for unique identifiers |
| ivreg |
Instrumental variables and two-stage least squares regression |
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| jknife |
Jackknife estimation |
| joinby |
Form all pairwise combinations within groups |
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| kappa |
Interrater agreement |
| kdensity |
Univariate kernel density estimation |
| ksmirnov |
Kolmogorov–Smirnov equality-of-distributions test |
| kwallis |
Kruskal–Wallis equality-of-populations rank test |
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| label |
Label manipulation |
| labelbook |
Label utilities |
| ladder |
Ladder of powers |
| level |
Set default confidence level |
| limits |
Quick reference for limits |
| lincom |
Linear combinations of estimators |
| linktest |
Specification link test for single-equation models |
| list |
List values of variables |
| lnskew0 |
Find zero-skewness log or Box–Cox transform |
| log |
Echo copy of session to file or device |
| logistic |
Logistic regression |
| logit |
Maximum-likelihood logit estimation |
| loneway |
Large one-way ANOVA, random effects, and reliability |
| lorenz |
Inequality measures |
| lowess |
Lowess smoothing |
| lrtest |
Likelihood-ratio test after estimation |
| lv |
Letter-value displays |
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| manova |
Multivariate analysis of variance and covariance |
| matsize |
Set the maximum number of variables in a model |
| maximize |
Details of iterative maximization |
| means |
Arithmetic, geometric, and harmonic means |
| memory |
Memory size considerations |
| merge |
Merge datasets |
| meta |
Meta analysis |
| mfp |
Multivariable fractional polynomial models |
| mfx |
Obtain marginal effects or elasticities after estimation |
| missing values |
Quick reference for missing values |
| mkdir |
Create directory |
| mkspline |
Linear spline construction |
| ml |
Maximum likelihood estimation |
| mlogit |
Maximum-likelihood multinomial (polytomous) logistic regression |
| more |
The —more— message |
| mvencode |
Change missing to coded missing value and vice versa |
| mvreg |
Multivariate regression |
| nbreg |
Negative binomial regression |
| net |
Install and manage user-written additions from the net |
| net search |
Search Internet for installable packages |
| newey |
Regression with Newey–West standard errors |
| news |
Report Stata news |
| nl |
Nonlinear least squares |
| nlogit |
Maximum-likelihood nested logit estimation |
| notes |
Place notes in data |
| nptrend |
Test for trend across ordered groups |
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| obs |
Increase number of observations in dataset |
| odbc |
Load data from ODBC sources |
| ologit |
Maximum-likelihood ordered logit estimation |
| oneway |
One-way analysis of variance |
| oprobit |
Maximum-likelihood ordered probit estimation |
| order |
Reorder variables in dataset |
| orthog |
Orthogonal variables and orthogonal polynomials |
| outfile |
Write ASCII-format dataset |
| outsheet |
Write spreadsheet-style dataset |
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| pca |
Principal component analysis |
| pcorr |
Partial correlation coefficients |
| pctile |
Create variable containing percentiles |
| permute |
Monte Carlo permutation tests |
| pk |
Pharmacokinetic (biopharmaceutical) data |
| pkcollapse |
Generate pharmacokinetic measurement dataset |
| pkcross |
Analyze crossover experiments |
| pkequiv |
Perform bioequivalence tests |
| pkexamine |
Calculate pharmacokinetic measures |
| pkshape |
Reshape (pharmacokinetic) Latin square data |
| pksumm |
Summarize pharmacokinetic data |
| poisson |
Poisson regression |
| predict |
Obtain predictions, residuals, etc. after estimation |
| predictnl |
Obtain nonlinear predictions, standar errors, etc. after estimation |
| probit |
Maximum-likelihood probit estimation |
| prtest |
One- and two-sample tests of proportions |
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| qc |
Quality control charts |
| qreg |
Quantile (including median) regression |
| query |
Display system parameters |
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| range |
Numerical ranges, derivatives, and integrals |
| recast |
Change storage type of variable |
| recode |
Recode categorical variable |
| reg3 |
Three-stage estimation for systems of simultaneous equations |
| regress |
Linear regression |
| regression diagnostics |
Regression diagnostics |
| rename |
Rename variable |
| reshape |
Convert data from wide to long and vice versa |
| #review |
Review previous commands |
| roc |
Receiver-Operating-Characteristic (ROC) analysis |
| rologit |
Rank-ordered logistic regression |
| rreg |
Robust regression |
| runtest |
Test for random order |
| sample |
Draw random sample |
| sampsi |
Sample size and power determination |
| save |
Save and use datasets |
| saved results |
Saved results |
| scobit |
Maximum-likelihood skewed logit estimation |
| sdtest |
Variance comparison tests |
| search |
Search Stata documentation |
| separate |
Create separate variables |
| serrbar |
Graph standard error bar chart |
| set |
Quick reference for system parameters |
| shell |
Temporarily invoke operating system |
| signrank |
Sign, rank, and median tests |
| simulate |
Monte Carlo simulations |
| sj |
Stata Journal and STB installation instructions |
| sktest |
Skewness and kurtosis test for normality |
| smooth |
Robust nonlinear smoother |
| sort |
Sort data |
| spearman |
Spearman's and Kendall's correlations |
| spikeplt |
Spike plots and rootograms |
| split |
Split string variables into parts |
| ssc |
Install and uninstall packages from SSC |
| stack |
Stack data |
| statsby |
Collect statistics for a command across a by list |
| stem |
Stem-and-leaf displays |
| suest |
Seemingly unrelated estimation |
| summarize |
Summary statistics |
| sureg |
Zellner's seemingly unrelated regression |
| sw |
Stepwise maximum-likelihood estimation |
| swilk |
Shapiro–Wilk and Shapiro–Francia tests for normality |
| symmetry |
Symmetry and marginal homogeneity tests |
| sysuse |
Use shipped dataset |
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| table |
Tables of summary statistics |
| tabstat |
Display table of summary statistics |
| tabsum |
One- and two-way tables of summary statistics |
| tabulate |
One- and two-way tables of frequencies |
| test |
Test linear hypotheses after model estimation |
| testnl |
Test nonlinear hypotheses after model estimation |
| tobit |
Tobit, censored-normal, and interval regression |
| translate |
Print and translate logs |
| treatreg |
Treatment effects model |
| truncreg |
Truncated regression |
| ttest |
Mean comparison tests |
| type |
Display contents of files |
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| update |
Update Stata |
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| vce |
Display covariance matrix of the estimators |
| view |
View files and logs |
| vwls |
Variance-weighted least squares |
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| webuse |
Use dataset from web |
| which |
Display location and version for an ado-file |
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| xi |
Interaction expansion |
| xpose |
Interchange observations and variables |
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| zip |
Zero-inflated Poisson and negative binomial models |
Reference Volume 1 (A–F)