To statalist@hsphsun2.harvard.edu Subject Re: st: Generating variables raised to the power of... Date Fri, 05 May 2006 17:34:57 +0200Gauri Khanna schrieb: Dear Stata list, I would like to generate two variable which is raised to the power of (0.11) and (-.023). Hence I would...
[mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Gauri Khanna Sent: 27 April 2006 15:03 To: statalist@hsphsun2.harvard.edu Subject: st: simple question: generating variables using the if / or command Dear Stata list, I have a seemingly simple problem that I can't seem to f...
A few days ago, my friend asked me is there any function in R to generate lag/lead variables in a data.frame or did similar thing as _n in stata. He would like to use that to clean-up his dataset in R. In stata help manual: _n contains the number of the current observation. H...
Making Spatial Analysis Operational: Commands for Generating Spatial-effect Variables in Monadic and Dyadic Data. The Stata Journal 10(4):1-21.Neumayer, E. and Plumper, T. (2010). Making spatial analysis operational: Commands for gener- ating spatial e ect variables in monadic and dyadic data...
挂指令Stata 十大 (类) 外挂指令 (to be added/revised) : 回归 (控制多重固定效应并允许多重聚类):(iv)reghdfe (linear regression absorbing multiple levels of fixed effects, allowingtwo- and multi-way clustering) 回归 (工具变量):(xt)ivreg2 (Extendedinstrumental variables/2SLS, GMM and AC/HAC...
First, all variables in both the synthetic and real data were compared using standard descriptive statistics (e.g., means, medians). Second, standardized mean differences (SMD) were used to statistically compare our variables of interest between the synthetic and real data. SMD was selected as ...
(2010). Making spatial analysis operational: Commands for generating spatial-e¤ect variables in monadic and dyadic data. The Stata Journal, 10(4), 585-605.Making Spatial Analysis Operational:Commands for Generating Spatial-Effect Varia-bles in Monadic and Dyadic Data. Eric Neumayer,Thomas Plumper...
The simulated data are produced by incorporating not only the explanatory variables for each patient but also the random error term(s) for the statistical model. To illustrate the predictive accuracy in terms of uncertainty of the preferred model, we simulated 1000 data points from the preferred ...
From: khigbee@stata.com Re: st: Inconsistent Result of generating variables From: Richard Williams <Richard.A.Williams.5@nd.edu> Prev by Date: RE: st: Residuals in Logistic Regression Next by Date: RE: st: Residuals in Logistic Regression Previous by thread: Re: st: Inconsistent Resul...
the same ideas (as suggested in the previous responses): Let z be given by (0) z = a * x + b * y + c * u, where x and y are the two variables in the dataset and u is a zero-mean random variable independent of x and y. ...