WebJan 21, 2024 · Pretty much all native egen functions disregard missings, so assuming that you have only one missing in each group, what Ali did works, and can be done with any egen function, min, max, total, mean, etc. Another way would be: Code: . bysort countrycode ( oldvar1): replace oldvar1 = oldvar1 [_n-1] if missing ( oldvar1) Raymond Zhang
How can I “fill down”/expand observations with respect to …
WebThis is not intended for imputing missing values; it is regarded as a bad choice for missing-value imputation. The intent is, rather, to fill in "holes", where a value should naturally prevail from one observation to the next. The holes may be artifacts of data management operations such as merging. Language: Stata Requires: Stata version 8.2 WebWhen we expand the data, we will inevitably create missing values for other variables. The second step is to replace the missing values sensibly. The examples shown here use … david hunter md west branch mi
Dealing with Missing Values for Data Science Beginners
WebStata does not have an exactly analogous concept. In Stata, a data set’s rows are essentially unlabeled, other than an implicit integer index that can be accessed with _n. In pandas, if no index is specified, an integer index is also used by default (first row = 0, second row = 1, and so on). While using a labeled Index or MultiIndex can ... WebAs a general rule, Stata commands that perform computations of any type handle missing data by omitting the row with the missing values. However, the way that missing values are omitted is not always consistent across commands, so let’s take a look at some examples. WebIGNITION EDUCATION LIMITED. 2015 年 3 月 - 2015 年 5 月3 个月. Tianjin City, China. •Collaborated with marketing team to sort out data among over 2000 questionnaires through dealing with missing values, scaling or standardizing, partitioning, visualizing, etc. in R. •Conducted desk research on market size estimation, market plan of ... gas prices in lincoln neb