Stata Programs for Data Analysis

This page describes Stata programs developed by the UCLA ATS Statistical Consulting Group for data analysis.  You can download any of these programs from within Stata using the findit command. 

For example, to download the cmeans command you can type findit cmeans (see How can I used the findit command to search for programs and get additional help? for more information about using findit).

ANOVA Tools
daoneway	One-way Discriminant Analysis
anovacontrast	How can I do ANOVA contrasts in Stata?
fhcomp	Fisher-Hayter pairwise comparisons
fpower	Anova Power Analysis
fstar	F* test for testing differences in means, like ANOVA
nonadd	Tukey test for nonadditivity
omega2	Computes omega squared after ANOVA
parcord2	Parallel coordinate plots
simanova	Simulation of ANOVA
simpower	Power simulation for ANOVA
sme	Computes tests of simple main effects
tukeyhsd	Tukey's HSD pairwise comparisons
wtest	W test for testing differences in means, like ANOVA
Correlation and Regression Tools
aipe	Accuracy in parameter estimation
bwls	Band-aid weighted least squares
canred	Canonical correlation redundancy analysis (needs Stata 9)
collin	Collinearity diagnostics
fautil	Factor analysis utilities
hadiplot	Potential versus Residul Plot and Hadi regression influence measure
hinflu6	Computes Hadi measure of regression influence
iplot	Index plots after estimation
lvr2dplot	Leverage vs. Residual Squared with Cook's D
mvtest	Module to perform multivariate F tests
partcorr	Partial & semipartial correlation.
pathreg	Path analysis using ols regression
powerreg	Power analysis for Linear regression models
protab	Predicted proportions following logit transformation
postgr3	Post estimation graphs and predicted values
sgmediation	Sobel-Goodman mediation tests
rsquare	Computes rsquare for all possible regressions
test2	Alternative test after regress
wls0	Weighted least squares regression á la Greene
xi3	Enhanced version of xi with 3 way interactions
Logistic, Poisson, and Negative Binomial Regression Tools
iplot	Index plots after estimation
ldiag	Logistic Regression diagnostic plots
ldev	Compute deviance after logistic
ldfbeta	Compute dfBeta after logistic regression
logsub	Logistic regression subsets
nbvargr	Graphs observed, poisson, & negative binomial probabilities
powerlog	Power analysis for logistic regression
postgr3	Post estimation graphs and predicted values
pprob	Program to compute poisson probabilities
scatlog	Scatterplot with logistic regression line
vibl	Visualizing Main Effects and Interactions for Binary Logit Models in Stata
Data Management Tools
nmerge	Extended merge for merging multiple files at once
Other Data Analysis Tools
csgof	Chi square goodness of fit test
do2htm	Make results of .do files to .htm files
emeans	Extended means command, including quadratic means
extrans	Examine effects of transformations
grss	Graph slide show
graph2tex	Convert Stata Graph to .eps with LaTeX Code
gstudy	Generalizability study program
hilo	Displays highest and lowest values for variable
hplot2	Horizontal plot using ascii characters
largest	Program to display largest "n" observations
mctest	Multiple choice test item analysis.
refgroup	Set reference group for coded variables
rtab	Reverse tabulate, yielding percentiles
robmean	Robust estimates of central tendency
smallest	Show smallest values
showmarkers	How can I view different marker symbol options?
spagplot	Spaghetti plots
stata2mlwin	Converts Stata data files to MLwiN data files
stata2mplus	Converts Stata data files to Mplus data files
stfit	Fit statistics for survival models
sumsum	Compute sums of variables, and sums across variables
tablabel	Tabulate values for each value label including zero counts
tablist	Makes tables and crosstabs using list style output
tabmiss	Makes tables of number of missing and non-missing values
vartable	Show table of means and variances
wincorr	Winsorized "robust" correlation
xdo	Extended do command
xfor	Extended for command

Source：http://www.ats.ucla.edu/stat/stata/ado/analysis/default.htm

 

http://www.pinggu.org/bbs/X_AdvCom_Get.asp?UserID=3160



转载本文请联系原作者获取授权，同时请注明本文来自赵晓锋科学网博客。
链接地址：https://wap.sciencenet.cn/blog-285749-251066.html

上一篇：Princeton stata 教程(1)
下一篇：New in Stata 11 (新功能介绍)