* 自定义散点图和回归线 twoway (scatter mpg weight, msymbol(O) mcolor(blue) msize(medium)) /// (lfit mpg weight, lcolor(red) lwidth(thick)) /// , title("Scatter Plot with Regression Line") /// xtitle("Weight (lbs)") ytitle("MPG") /// legend(label(1 "Scatter") label(2...
1. 散点图:附加密度函数图和拟合线(Scatter Plot with Regression Results) 附加密度函数和拟合曲线的散点图能够更好地看清样本的概率分布,同时能够表示出参数估计的置信区间。 *-文件夹设定 cd D:\ mkdir myfigs cd D:\myfigs // 后文输出的图形自从存储于此处 *--- *- F1 散点图:附加密度函数和拟合...
scatterplots, line plots, etc graph save save graph to disk graph matrix scatterplot matrices graph use redisplay graph stored on disk graph bar bar charts graph display redisplay graph stored in memory graph dot dot charts graph combine combine multiple graphs graph box box-and-whisker plots gra...
color("`r(p9)'")ms(Sh))///(scattercoefBinifGroup==2,color("`r(p14)'")ms(Oh))///(rcaplbubBinifGroup==1,color("`r(p9)'"))///(rcaplbubBinifGroup==2,color("`r(p14)'"))///,yline(0,lcol(black))///xlabel(1"
1、第九章 线性回归(Linear Regression)导论统计分析:根据统计数据提供的资料,揭示变量之间的关系,并由此推演为事物之间内在联系的规律性为什么学习回归分析u回归分析探讨客观事物之间的联系,表现为变量之间的统计关系u建立在对客观事物进行大量实验和观察的基础上,用来寻找隐藏在看起来不确定的现象中的统计规律的统计方法u...
Scatterplot matrices Dot charts Line charts Area charts Two-way scatterplots (video tutorial) Filled and outlined contour plots (video tutorial) grmap: Visualization of spatial data Graphic features New default scheme New Combine graphs Various plotting symbols Various connecting line options...
* Simple Regression (Creating ANOVA Table) reg$ylist$x1list * Plotting a regression line graph twoway (scatter$ylist$x1list)(lfit$ylist$x1list) * Predicted Valuesforthe explanatory variable predict yp, xb summarize$ylistyp graph twoway (scatter$ylist$x1list)(scatter yp$x1list) ...
aaplotModule for scatter plot with linear and/or quadratic fit, automatically annotated abarModule to perform Arellano-Bond test for autocorrelation abgModule to implement the Alpha-Beta-Gamma Method of Distributional Analysis aboutregModule providing tutorial on regression diagnostics ...
Twoway scatter income age 加入拟合直线 twoway (scatter income age if income<100000) (lfit income age if income<100000) 由于存在特别大的异常值,为了使图片美观,限定收入小于100000 两连续变量之间的相关程度可以通过相关系数R表示,R的范围在+1到-1之间:[-1,+1] ...
x+1) + sin(x*6)/3 gen g1 = T + 3*log(x+1) + sin(x*6)/3 scatter g0 x, ...