WebApr 13, 2024 · EPA/DAVID CHANG. (ANSA)La Cina ha varato per domenica l’interdizione alla navigazione in un’area a nord di Taiwan a causa della “caduta di detriti di razzi”. E’ quanto riferisce l’autorità marittima cinese, senza fornire ulteriori dettagli. L’area bandita alla navigazione è a circa 100 miglia (160 chilometri) a nord di Taiwan, a ... WebTo take full advantage of Stata, it’s worth taking the time to understand how to program. 3. This program also uses Stata’s matrix and scalars. If you have any experience using Gauss, ... use c:\copen\data\expend, clear; gen expendpc = hhexpend / hhsize; sum expendpc [aw=hhsize], detail; scalar med = r(p50); ** Keep id codes of poorest 50% **;
obs — Increase the number of observations in a dataset
WebThe expansion vectors are used to add some space between the data and the axes. Usage expansion(mult = 0, add = 0) expand_scale(mult = 0, add = 0) Arguments mult vector of multiplicative range expansion factors. If length 1, both the lower and upper limits of the scale are expanded outwards by mult. Webor the following two questions, use the data in the "expend.dta" data set found in the Problem Set folder and from the Stata introductory class). 3. In the data, use household size (var: hhsize) and per capita expenditures, by household (var: pce) to do the following operations: a. Find the mean and variance for both variables. b. shampoing liquide maison
or the following two questions, use the data in the Chegg.com
WebJun 17, 2014 · expand replaces each observation in the dataset with n copies of the observation, where n is equal to the required expression rounded to the nearest integer. If the expression is less than 1 or equal to missing, it is interpreted as if it were 1, and the observation is retained but not duplicated. Share Follow edited Mar 21, 2016 at 16:57 WebExample 1: Using expand and sample. In Stata, you can easily sample from your dataset using these weights by using expand to create a dataset with an observation for each unit and then sampling from your expanded dataset. We will be looking at a dataset with 200 frequency-weighted observations. The frequency weights ( fw) range from 1 to 20. WebCase 1. Using the same data before fillin above: . expand attendance makes duplicates of the observations by the number of attendance so that each person will have a record of each attendance of each course. We can then, for instance, add course performance data to each attendance. papeterie monistrol sur loire