使用graph export命令即可实现: stata graph export "regression_coefficients.png", replace "regression_coefficients.png":指定保存的文件名和格式。 replace:如果文件已存在,则替换它。 通过上述步骤,你可以在Stata中生成并调整回归系数图,以便更好地展示你的回归分析结果。
("Regression coefficients",size(small)) /// yline(0,lcolor(edkblue*0.6) lwidth(*1.0)) /// xlabel(,labsize(*0.8) labcolor(purple) /// tposition(crossing) tlcolor(gs10)) /// ylabel(,nogrid tposition(crossing) tlcolor(gs10)) /// graphregion(color(gs16)) /// plotr(lcolor(edk...
associated p-values, and the 95% confidence interval of the coefficients. Bothgreandgpaare statistically significant, as are the three indicator variables forrank. The logistic regression coefficients give the change in the log odds of the outcome for a one unit increase in the predictor variable....
COEFPLOT: Stata module to plot regression coefficients and other results 16 MMQREG: Stata module to estimate quantile regressions via Method of Moments 17 XTCOINTREG: Stata module for panel data generalization of cointegration regression using fully modified ordinary least squares, dynamic ordinary least...
"Table : Coefficients from Linear Regression /// "on Selected Independent Variables") //starlevel(* 0.1 ** 0.05 *** 0.01) legend label //esttab 也可以导出回归结果estimates table m1, m2, m3 b(%9.3) star(0.1 0.05 0.01) esttab m1 m2 m3 m4 m5 m6,b(%6.3) se star(* 0.1 *...
ols_results <- summary(model)$coefficients # 计算聚类标准误 kmeans_result <- kmeans(data[, c("wt", "qsec")], centers = 3) cluster_centers <- kmeans_result$centers cluster_labels <- kmeans_result$cluster regression_by_cluster <- lapply(1:3, function(cluster_label) { ...
ATETs' coefficients plot New Aggregate heterogeneous ATETs New Overlap plots Box plots for covariate balance Density plots for covariate balance ROC analysis ROC curve of classifier with binormal fit Marginal and covariate-adjusted ROC curves Sensitivity and specificity versus probability cutoff...
(regression scoring assumed) Scoring coefficients (method=regression)---Variable|Factor1---+---x1|0.04693x2|0.12660y1|0.12650y2|0.12630y3|0.12819y4|0.12954y5|0.12734y6|0.12798y7|0.12651---
if k!=i]clf.fit(X2[:,tmp],X2[:,i])vifi=1/(1-clf.score(X2[:,tmp],X2[:,i]))vif2[i]=vifi plt.figure()ax = plt.gca()ax.plot(vif2)#ax.plot(vif3)plt.xlabel('feature')plt.ylabel('VIF')plt.title('VIF coefficients of the features')plt.axis('tight')plt.show()
addplot(line @b @at):增加点之间的连线,也就是绿色那个线 ciopts(recast(rcap)):绘制置信区间,并且设置样式为带封顶尖峰的范围图rcap rescale:重新调整点估计和置信区间 结果展示 示例2(推荐) 中国碳排放交易体系试点的碳价格稳定机制: 上海(2013):通过拍卖部分碳配额来干预碳价格。拍卖的碳价格没有明确规定。