drop -- Drop variables or observations找到这500个样本的共性，用drop if删除
This contains the exercise files used in the video and article related to dropping observations or variables based on condition in StataYou will get the following files: DO (1KB) DTA (3KB) Customer Reviews Write a Review There are no reviews yet. ...
The collapse command in Stata is used to create summary variables from an existing dataset. It allows you to aggregate observations within groups, summarizing them into a new dataset. Collapsing a dataset can be useful for creating summary statistics, such as the mean and standard deviation, for ...
d list in 1/5 得到数据集的情况: Contains data from D:\Stata17\ado\base/l/lifeexp.dta Observations: 68 Life expectancy, 1998 Variables: 7 26 Mar 2020 09:40 (_dta has notes) --- Variable Storage Display Value name type format label Variable label ---...
To <statalist@hsphsun2.harvard.edu> Subject st: Drop in R-squared when adding variables in xtreg Date Mon, 22 Apr 2013 09:46:42 +0200Dear statalisters, I’ve been performing a FE regression with Stata and I have puzzling results: for example, I run the model xtreg y y1 x year_du...
To statalist@hsphsun2.harvard.edu Subject RE: st: --estimates table, drop()" and FACTOR variables (texdoc) Date Tue, 2 Aug 2011 21:38:18 -0700"I run a few specifications then try to drop a factor variable (~300 dummies) but --estimates table-- throws an error. Am I doing...
Absolute and relative frequencies were used for ranked and categorized variables. Analytical analysis for highrisk behaviors before and after the intervention was performed using the tests related to paired data and, if necessary, regression models (P 鈮 0.05). STATA version 12 was used to ...
Using the dumped 'data_esample', I did aggregation at user level and product level (the following codes are not stata, just to show what I did): aggregate_by(user), count rows aggregate_by(product), count rows What i found were that: ...
All of the variables which were significantly associated with attrition (P < 0.05) in univariate analyses were selected into the multivariable model. All calculations were performed using the statistical softwares Stata 10 (StataCorp LP, College Station, TX, USA) and SPSS 14.0 (SPSS Inc., ...
Initial models, considering each covariate in turn, excluded families with missing values on any of the covariates considered; the final multivariable models excluded only those families with missing values on the included covariates. All covariates were treated as categorical variables; parents' total ...