dropmiss, obs // 以观察值为单位 观察值一行全为缺漏值时删除 dropmiss, any // 以变量为单位 若变量存在缺漏值则删除变量 dropmiss, any obs // 这个或许是我们通常需要的“若存在一个缺漏值,删除此样本点” ---missing--- drop if missing(x1,x2,x3,x4,x5) //括号内存在一个缺漏值即删除 ---r...
drop if missing(x) 插补缺失值:如果缺失值的数量较多,或者删除它们会影响数据的代表性或分析结果的可靠性,可以选择插补缺失值。插补方法包括均值插补、中位数插补、回归插补等。例如,使用均值插补: stata replace x = mean(x) if missing(x) 但是请注意,这种方法可能不适用于所有情况,并且可能引入偏差。更复...
/* 删去x或y之一为缺失值的所有记录drop if x==.&y==. /* 删去x和y同时为缺失值的所有记录drop _all /* 删掉数据库中所有变量和数据STATA的变量赋值用generate产生新变量generate 新变量=表达式generate bh=_n /* 将数据库的内部编号赋给变量bh。generate ...
. drop if response >= . or . drop if missing(response) because either of these would drop missing values in the middle of each panel, which would be going too far. That is what gives this problem its twist. For what follows,missing()takes on the value 1 for true if its argument is...
missing //同时报告缺失值的频数和百分比 /*数值集合*/ *1/3 // 是指1,2,3 *1 3 to 7 //是指 1,3,5,7 *1 (2) 9 //是指1,3,5,7,9 gen n1 = _n //显示对应行号,可以用来给数据标序号 gen n2 = _N //显示的全是总行数 list n1 n2 in 3/7,clean drop _all //删除所有变量 ...
In the current system, you must be aware that missing values are coded and treated as positive infinity. Once this fact is absorbed, everything is consistent, drop and keep statements work as one would expect, and the logical comparisons make sense. ...
显示在框内为单击 g(enerate) currrate=Totcurass/Tutcurlia流动比率 ( 等号后面点右上方显示 (8 missing values generated) 有八个缺失值g lev=Totlia/Totass 负债率 leverageg pright= Totlia/ TotSHE 产权比率 porpertysave bs2 另存数据drop 为删除变量clear 从内存删掉,不会从硬盘删掉 利润表 import ...
. drop _all //删除所有数据. restore. preserve . rename _all, upper //所有变量大写. rename _all, lower //所有变量小写. rename _all, proper //所有变量名首字母大写. rename * *_2021 //所有变量名后加相同后缀前缀. rename (*_2021 ) (havefun_*) //批量修改变量名的前后缀. restore 我们...
Either that, or the values vary because they should vary, in which case you must either add the variables to the list of xij variables to be reshaped, or drop them. */reshape wide inc ue,i(id)j(year)//正确的设定list/* +---+ | id inc80 ue80 inc81 ue81 inc82 ue82 sex | ...
Update benchmarks for all commands. Still on 0.8 benchmarks. Dropmissing vs dropmissing but not extended missing values. Allow keeping both variable names and labels ingreshape spread/gather Implementselectoverflow(missing|closest) Add totals row forJ > 1in gstats ...