e(sample) . . *4、获得每一个e结果Access individual e results . display"the adjusted R-squared is: `e(r2_a)' the adjusted R-squared is: .9293307801956748 . display " the residual sum-of-squares is: `e(r22)' the residual sum-of-squares is: . matrix list e(V) symmetric e(V)[3...
列示出来e(b)与e(V) 3、c-class:存储系统参数,解决系统受限问题(如存储空间受限,可以通过这个命令调整) 代码: * 20220409---stata基础:内存中的返回值/留存值 *(1)e-class练习 reg price weight rep78 length foreign //对price做回归 ereturn list //reg是与模型有关的命令 matrix list e(b) //将矩...
. ereturn list // 列示内存中的返回值 matrices: e(b) : 1 x 4 e(V) : 4 x 4 . matrix list e(V) // 呈现系数的方差-协方差矩阵 symmetric e(V)[4,4] grade ttl_exp grade_x_ttl _cons grade .0173019 ttl_exp .01534545 .01651049 grade_x_ttl -.00123247 -.00125844 .00009963 _cons...
sysuse auto, clear*方法1:仅使用 matrix accum 命令* 思路: 若 A =(y, X), 则* * [ y'y y'X ]* mat accum (A) = S = (y, X)'(y, X) = [ ]* [ X'y X'X ] matrix accum S= price weight mpg//y=price, X=[weight mpg]mat list S matrix XX= S[2...,2...] matrix ...
Stata矩阵操作矩阵操作⼀、⽣成矩阵matrix矩阵名=(1,2,34,5,6)变量转矩阵mkmat矩阵转变量svmat⼆1matrixlist矩阵名[,noblanknohalfnoheadernonamesformat(%fmt)title(string)nodotz]//列⽰矩阵2*更为细致地列⽰矩阵3#delimit;4matrixHtest=(12.30,2,.0004464252.17,1,.3533287468.81,3,.04022625720.05...
did | -2.52e+09 1.45e+09 -1.73 0.088 -5.42e+09 3.81e+08 _cons | 3.58e+08 7.61e+08 0.47 0.640 -1.16e+09 1.88e+09 --- . reg y time treated did, r Linear regression Number of obs = 70 F(3, 66) = 2.17 Prob > F = 0.0998 ...
putexcel `col_st1'`col_st2'=matrix(desbytable),nformat(0.00) colnames left vcenter //方差分析结果 quietly anova `d' `i' *根据自由度和F值得到p值 local p=Ftail(`e(df_m)',`e(df_r)',`e(F)') local F=`e(F)' local r:dis %6.2f `F' ...
matrix Vest = e(V) scalar Vprice = Vest[1,1] dis Vprice scalar tprice = bprice/sqrt(Vprice) dis sqrt(Vprice) display "t statistics for H0 : b_price = 0 is " tprice *宏 -- 全局宏、局部宏 /*用一串字符串来代表另一串字符串 比如可以用Xlist来代替 price weight等自变量, ...
stata中summarize所计算出来的峰度skewness和偏度kurtosis有问题,与ECELL和SPSS有较大差异,建议不采用stata的结果。 summarize var1 [aweight = var2], detail (求取分组数据的统计量,var1为各组的赋值,var2为每组的频数) tabstat X1,stats(mean n q max min sd var cv) ...
matrix list r(table) local weight_lower_95ci = r(table)[5,1] di "`weight_lower_95ci'" 3.如果想查看变量的频率,“fre”会同时显示值和标签,而“tabulate”则不会。使用“fre”: ssc install fre fre variable_name 4.要快速查看每个变量有多少观测值缺失,请使用“mdesc”: ...