根据你提供的图片信息，Stata 中的错误提示option scalars() not allowed意味着命令中的scalars选项无法被...
发生这种情况的原因是因为Stata不允许在某些命令中使用optionse选项。解决方法：1. 尝试使用不同的命令，如果可以使用optionse选项，则可以解决问题。2. 尝试使用不同的参数，如果可以使用optionse选项，则可以解决问题。3. 尝试使用不同的数据集，如果可以使用optionse选项，则可以解决问题。4. 尝试使用不同...
Scalars r(p) r(F) r(df1) r(df2) r(chi2) r(df) p-value associated with the test statistic F statistic, if e(df r) was stored by estimation command numerator degrees of freedom for F statistic denominator degrees of freedom for F statistic χ2 statistic, if e(df r) was not store...
The and options are not allowed with estimation results that used direct standardization or poststratification. These methods obscure the measure of design effect because they adjust the frequency distribution of the target population. requests that F and T be comput sing an estimate of simple ...
8c. Stata macros and scalarsThe following routines are used to store and use Stata macros and scalars. By macros, we mean both global macros and local macros (local to the program calling the plugin). Internally, global macros and local macros share the same namespace, with the names of ...
Stata 日志文件操作指南说明书
predictionsallowedby factorvariablesas factorvariablesas Matrices coefficientvector constraintsmatrix itionlog(upto20itions) gradientvector variance–covariancematrixoftheestimators model-basedvariance Functions marksestimationsample heckman—Heckmanselectionmodel657 (two-step)savesthefollowingin: Scalars numberofobs...
by, statsby, and xi are allowed; see [U] 11.1.10 Prefix commands. coeflegend does not appear in the dialog box. See [U] 20 Estimation and postestimation commands for more capabilities of estimation commands. Options Model dgmmiv(varlist , lagrange(flag llag ) ) specifies GMM-type ...
Scalars are lowercased and nonbolded; for instance, $r_2 + c_1 - c_2$. Sentence punctuation should not be used in formulas set off from the text. Formulas in line with the text should use the solidus (/) instead of a horizontal line for fractional terms. Nesting of grouping is squa...
Plainly, we need to issue two commands not a fixed number of times, but until the two scalars are nearly equal. The while() option provides just that ability. ^In our example, following the summarize command above, we can find the MLE to within 0.0001 by . scalar XB = _result(3) ....