correlation. Examine the number and structure of latent concepts underlying a set of variables using exploratory factor analysis. Or use principal component analysis to find underlying structure or to reduce the number of variables used in a subsequent analysis. Discover groupings of observations in ...
Use multivariate analyses to evaluate relationships among variables from many different perspectives. Perform multivariate tests of means, or fit multivariate regression and MANOVA models. Explore relationships between two sets of variables, such as aptitude measurements and achievement measurements, using cano...
reg2docx m1 m2 m3 using Result.docx, replace keep(GPR GPR_OR GPR_TI GPR_OPE OR TI OPE) indicate("Year FE=*.year") addfe("Country FE=Yes" "Control variables=Yes") scalars(N r2_a) b(%9.3f) t(%7.2f) title(Mechanism analysis) mtitles("Oil rent" "Technology" "Openness") 得到结...
module to exchange values cyclically between variables tssc install creplace crm module to implement the continual reassessment model tssc install crm crossfold module to perform k-fold cross-validation tssc install crossfold crossplot module for scatter (or other twoway) plots for each...
因此在使用面板数据时应加入robust cluster() option, otherwise your “significant” results frompooled regressions may be spurious.什么情况下会产生多重共线性l We have seen that when there isperfect collinearity between independent variables, STATA will have to excludeone of them. For example, year_1...
In equation (1 ) of [XT] xtreg, we showed how to decompose a model into within and between effects. Let’s do that with these two variables, assuming that changes in the average have one effect, whereas transitional changes have another: xtreg postestimation — Postestimation tools for ...
the statistical routines you will use assume that the data are organized in a certain way.For example,statistical commands that analyze longitudinal data,such as xtreg,generally require that the data be in long rather than wide form,meaning that repeated values are recorded not as extra variables...
middle categories ofapplyare 1.85 times greater, given that the other variables in the model are held constant. Because of the proportional odds assumption (see below for more explanation), the same increase, 1.85 times, is found between lowapplyand the combined categories of middle and high...
SUM2DOCX: Stata module to report summary statistics to formatted table in DOCX file 242 TTABLE2: Stata module to produce Mean Comparison for many variables between two groups with formatted table output 243 STCOMPET: Stata module to generate cumulative incidence in presence of competing events...
How can I perform a factor analysis with categorical (or categorical and continuous) variables? Graphics How can I overlay two histograms? How can I make a correlation matrix heat map? How can I graph chi-square power curves in Stata? Where can I find examples of user written graph commands...