generate group=int((_n-1)/5)+1 /* 按当前数据库的顺序,依次产生5个1,5个2,5个 3……。直到数据库结束。generate block=mod(_n,6) /* 按当前数据库的顺序,依次产生1,2,3,4,5,0。generate y=log(x) if x>0 /* 产生新变量y,其值为所有x>0的对数值log(x),当x<=0时,用缺失值代替。
示例:merge 1:1 id using "otherdata.dta" sort:按变量排序(Sort by variable) 示例:sort id reshape:数据重塑(Reshape data) 示例:reshape wide x, i(id) j(year) egen:生成汇总统计量(Generate summary statistics) 示例:egen mean_x = mean(x), by(group) qui/quietly:静默执行指令(Silently execute ...
generate // 生成新的数据egen //生成新的数据rename // 变量重命令drop // 删除变量或观察值keep // 保留变量或观察值sort // 对观察值按从小到大顺序重新排列encode // 数值型数据转换为字符型数据decode // 字符型数据转换为数值型数据order // 变量顺序的...
4.4. 变量 4.4.1 gen generate -- Create or change contents of variable 代码语言:javascript 代码运行次数:0 运行 AI代码解释 generate[type]newvar[:lblname]=exp[if][in][,before(varname)|after(varname)] 4.4.3 egen egen -- Extensions to generate 代码语言:javascript 代码运行次数:0 运行 AI代码...
3、a create or change variables生成变量的窗口data create or change variables create new variable基本命令stata有四个基本的生成和修改变量的命令:gen、egen、replace和recode . gen和egen分别是generate和extended generate的缩写,它们用于生成新变量 . replace和recode用来改变现存变量的属性或数值 . replace需要与ge...
label variable x "~~~"(对变量x做标记) label values x label1(赋予变量x一组标签:label1) label define label1 1 "a1" 2 "a2"(定义标签的具体内容:当x=1时,标记为a1,当x=2时,标记为a2) 频数表: tabulate x1,sort tab1 x1-x7,sort(做x1到x7的频数表,并按照频数以降序显示行) ...
“,” 后为优化绘图效果的各类选项 *** **group_options over(varname [, over subopts]): specifies a categorical variable over which the yvars are to be repeated; nofill: specifies that missing subcategories be omitted; allcategories: specifies that all categories in the entire dataset be ...
Group variable: id Number of groups = 10 Time variable: year Panel length = 20 R-sq: within = 0.4258 between = 0.8555 overall = 0.8165 Mean of fixed-effects = 3.5886 Log-likelihood = 31.1740 --- lninvest | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---+---...
gen Y = 0 // outcome variable gen D = 0 // intervention variable gen cohort = . // treatment cohort gen effect = . // treatment effect size gen first_treat = . // when the treatment happens for each cohort gen rel_time = . // time - first_treat ...
label variable _time "year" label variable effect "gap in per-capita cigarette sales(in packs)" line effect _time,xline(1989,lp(dash)) yline(0,lp(dash)) 1. 2. 3. 其中,xline(1989,lp(dash))与yline(0,lp(dash))表示在横轴1989年初和纵轴0处绘制虚线。 处理效应的时间趋势图 通过上图的...