WebApr 15, 2024 · Patients who did not have complete information were excluded, so there are no missing variables of interest. Statistical analysis Initially, a descriptive analysis of the included population was ... WebSep 5, 2012 · 4 Answers. outreg is not going to work, as it only works with estimation (regression-like) results. xml_tab can probably produce anything you like ( findit xml_tab to install). Obviously, you can export excel your data, although if you need frequency tables, you probably would want to collapse (count) ..., by (varlist) your data first.
Microeconometrics Using Stata: Revised Edition by A Colin
WebJul 6, 2013 · I'm trying to use the tabulate command in Stata to create a time series of frequencies. The problem arises when I try to combine the output of tabulate after running through each date.tabulate will not include 0 as an entry when no observation exists for a value of the variable in question. For instance, if I wanted to count the 10, 11 and 12 year … WebThe default name of the variable is _expand (you can change the name by using the option expand after dups ). Using the variable _expand we can get the deleted observations back by using a command called expand . See the example below. dups, drop key (id) group by: id female race read groups formed: 1 groups of duplicate observations: _group ... cynthia oertel of new york city
Tabulating missing data for panel data - Statalist
WebAug 23, 2024 · Alyssa: gllamm and missch k are community-contributed commands, as you are asked to explain (FAQ Advice #12). While you're visiting, please see comments in #16 on how to close threads which apply to some recent threads you started. A good way to find out what commands like gllamm do given missing data is look after fitting a model to see … WebThe cross tab shows how Stata renumbered the imputations. In and of itself, ... (which became _mi_m=0) contains no missing data, Stata assumes that the values are actually complete, and replaces the imputed values in the other four MI datasets with the value in m=1. If m=1 were the original data, this would make perfect sense, after all, we don ... WebMar 27, 2024 · When working with a data set, one of the first things I do is look at the count and relative frequency of categorical variables of interest. In Stata, this is relatively straight forward with the tab command. In R, however, it isn’t quite as straight forward, but still possible via the dplyr package.. You might also be interested in my other posts on … bilt hard manufacturer