Stata 中,misstable可以查看数据缺失情况,dropmiss可以用于删除缺失值,replace命令结合条件命令可做基础的...
replace ymissing = . if ymissing > 20 *-进行插值和外推 ipolate ymissing x, gen(y1) ipolate ymissing x, gen(y2) epolate *-列示数据 sort x list year y x ymissing y1 y2, sep(0) --- | year y x ymissing y1 y2 | |---| 1. | 2016 14.22344 6.224262 14.22344 14.223439 14.22...
*-将 y > 20 定义为缺失值 gen ymissing = y replace ymissing = . if ymissing > 20 *-进行插值和外推 ipolate ymissing x, gen(y1) ipolate ymissing x, gen(y2) epolate *-列示数据 sort x list year y x ymissing y1 y2, sep(0) +---+ | year y x ymissing y1 y2 | |---...
winsor2 x1 x2 x3 x4 x5 , replace cuts(1 99) :批量处理多个变量;replace 选项,可以不必生成新变量 第二,安装xtabond2 ssc install xtabond2 第二步,最简单的语法形式:xtabond2 depvar(因变量) varlist(系列解释变量:前置变量、严格外生变量、内生变量) simple autoregressive model(AR自回归模型) with no ...
数值型缺失值在stata中被定义为无穷大,大小关系为:nonmissing numbers<.<.a<.b< … <.z 4 实例 4.1 向后填充 sort id year carryforward id year, replace 4.2 向前填充 gsort id -year carryforward id year, replace 4.3 广义缺失值 carryforward x ,gen(x1) ...
Stata: replace missing values with the values from observations with same ID numberAsk Question Asked 10 years, 8 months ago Modified 10 years, 8 months ago Viewed 2k times Report this ad 1 I am using population-level American Community Survey data to look at factors that...
必须配合replace选项一起使用 extmiss选项仅限于数值型变量,它视扩展型缺失值 extended missing values (.a, .b, etc.) 为实际数值 Stata 中只有一种字符型缺失值,即"" Stata 中有27种数值型缺失值,默认的缺失值为sysmiss(.) 另外26种数值型缺失值是:.a, .b,.c, ..., .z,即extended missing values...
replace `v'= 0 if `v' == . } //将missing变成0 reg co reg_co gen lco = ln(co) reg lco reg_co //有0的问题 //add a set of dummies(虚拟变量), tear , industry, county gen fips_st = substr(fips,1,2) //state(截取fips编号的前两位) gen sic2 = substr(sic,1,2) //industr...
在数据表或 DataFrame 中有很多识别缺失值的方法。一般情况下可以分为两种:一种方法是通过一个覆盖全局...
Missing values may occur in blocks of two or more. Suppose you want to replace missings by the previous nonmissing value, whenever it occurred, so that given _n myvar 1 42 2 . 3 . 4 56 5 67 6 78 you want toreplacenot onlymyvar[2], but alsomyvar[3]with 42. ...