combineplot is a command for combining univariate or bivariate plots for different variables. designplot is a command for showing univariate summaries that generalizes and rewrites grmeanby in graph dot style.Cox, NicholasStata Users Group
(stored in the local macroclassvar). In step 1, we perform ROC analysis of variables inrefvarandclassvarusingroctab. In step 2, we save the estimates of the area and its variance in temporary matricesbandV, respectively. Then in step 3, we label columns of coefficient matrix`b'and rows ...
All the receiver operating characteristic (ROC) commands in Stata use a single status variable, with one or more classification variables. Youcan automatically draw ROC curves for different classifiers using thesame status variable. A new command, -rocreg- can be used to draw ROCcurves for differ...
Furthermore, accounting for differences in cost–benefit considerations should partly explain social inequalities in the risk of dropping out (H3c). Data, Variables, and Methods Data We base our empirical analyses on data from the National Educational Panel Study (NEPS): Starting Cohort First-Year ...
The use of subgroups based on biological-clinical and socio-demographic variables to deal with population heterogeneity is well-established in public policy. The use of subgroups based on preferences is rare, except when religion based, and controversial. If it were decided to treat subgroup preferen...
is the message it gives me: Transferring to Stata: /users/xxxx/desktop/data20090529.dta 1 variables and 1 records read from /users/xxxx/desktop/name_test/T1001.xls Worksheet Page Name: TCAB Eval Team Data is invalid 1 variables and 1 records read from /users/xxxx/name_test/T1002.xls ...
Multi-collinearity diagnosis is an effective tool for determining the linear correlation between two or more variables in a dataset to help select the appropriate characteristic factors [73]. Currently, the method has been applied for a variety of purposes including landslide susceptibility, soil erosio...
These explanatory variables were put into a linear model with hourly PM2.5 as the response variable. This model was then used to predict PM2.5 on a grid of points placed every 250 m across Imperial County. All of the hourly predictions were averaged across the length of the study. The ...
2.1. Mechanochemical Allylation of p-Nitrobenzaldehyde: Solvent Effects Because this is a pioneer study of aldehyde allylation by allyltrifflluuoorroobboorraatteevviiaammeecchhaannoocchheemmiissttrryy,, several experiments were needed to set the parameters and variables of the procedure, especially the...
The fine-tuning process starts with the state of the top output layer and in turn activates each bottom layer by using a top-down connection. Thus, a DBN model can be considered as RBMs consisting of all prior hidden variables placed at the top layer of a directed belief network, combined...