forvalues i=1/100 {...} for (i in 1:100) {...} Loop through integer values of i from 1 to 100 foreach i in "a" "b" "c" {...} for (i in c("a","b","c")) {...} Loop through a list of items di "Hello World" print("Hello World") Prints "hello world" on sc...
/ loop through the datasets and add x and y / foreach dataset of local datasets { use "dataset'", clear gen z = x + y save "dataset'" } Batch-mode 批处理是指可以在Stata外部（如Windows命令行或Unix shell）中运行大量的Stata命令，而无需人工干预。批处理可以通过将多个Stata命令组合成...
allcrossModules to create variables corresponding to moment matrices allpossibleModule to fit all possible models with subsets of predictors allsubsetsModule to perform all subsets (combinatorial) meta-analysis in a set of studies alorenzModule to produce Pen's Parade, Lorenz and Generalised Lorenz cu...
It works for all kinds of variables (integer, other numeric, and string). It extends easily to the apparently much more difficult problem of going through all the distinct combinations of two or more variables, which is, in fact, only a little more difficult. ...
Stata:save "mydata.dta", replace R:save.image("mydata.Rdata") 7、根据变量X进行排序 Stata:sort x y R:mydata[order(mydata$x, mydata$y),] 8、相关分析 Stata:cor x y R:cor(x,y) 9、帮助命令 Stata:help command R:help(command) ...
According to some, usingna.omiton their data is not feasible as it results in too few rows to be useful. However, this can be resolved by omittingNA_integer_andNA_real_while retainingNA_character_. Simply addNAas a factor level and loop through the variables in your data frame to accompl...
enforce module to force variables to satisfy a set of accounting identities tssc install enforce enlarge module to propagate constant values through group tssc install enlarge entropy module to compute Shannon, Renyi, HCT entropy & Hill numbers" tssc install entropy entropyetc module for entro...
The program will iterate through the numbers and take care of the rest. If you r variables are not named properly, the program will not work! fweights and pweights are allowed. implogit does not share features with all estimation commands. Because of the external variance adjustments implicit...
S458811 DICT: Stata module to loop over multiple arguments byDaniel Alves Fernandes S458810 MULTIDENSITY: Stata module for kernel density estimation for many variables or groups byNicholas J. Cox S458809 GCROBUSTVAR: Stata module to compute a VAR-based Granger-causality Test in the Presence of ...
S456967 LABGEN: Stata module to generate or replace variables with definitions in variable labels by Nicholas J. Cox S456966 INORM: Stata module to perform multiple imputation using Schafer’s method by John C. Galati & John B. Carlin