stata

问题 I have already asked a question about storing coefficients and standard errors of several regressions in a single dataset. Let me just reiterate the objective of my initial question: I would like to run several regressions and store their results in a DTA file that I could later use for analysis. My constraints are: I cannot install modules (I am writing code for other people and not sure what modules they have installed) Some of the regressors are factor variables. Each regression differ

问题 I am trying to load data from database (either MS Access or SQL server) using odbc sqlfile it seems that the code is running with any error but I am not getting data. I am using the following code odbc sqlfile("sqlcode.sql"),dsn("mysqlodbcdata") . Note that sqlcode.sql contains just sql statement with SELECT . The thing is that the same sql code is giving data with odbc load,exec(sqlstmt) dsn("mysqlodbcdata") . Can anyone suggest how can I use odbc sqlfile to import data? This would be a

问题 Following up from my question here, I am trying to replicate in R the functionality of the Stata command duplicates tag , which allows me to tag all the rows of a dataset that are duplicates in terms of a given set of variables: clear * set obs 16 g f1 = _n expand 104 bys f1: g f2 = _n expand 2 bys f1 f2: g f3 = _n expand 41 bys f1 f2 f3: g f4 = _n des // describe the dataset in memory preserve sample 10 // draw a 10% random sample tempfile sampledata save `sampledata', replace restore //

问题 Following up from my question here, I am trying to replicate in R the functionality of the Stata command duplicates tag , which allows me to tag all the rows of a dataset that are duplicates in terms of a given set of variables: clear * set obs 16 g f1 = _n expand 104 bys f1: g f2 = _n expand 2 bys f1 f2: g f3 = _n expand 41 bys f1 f2 f3: g f4 = _n des // describe the dataset in memory preserve sample 10 // draw a 10% random sample tempfile sampledata save `sampledata', replace restore //

问题 I have pandas 0.13.1 installed but pandas.read_stata() fails to read .dta files created in Stata 13 format, with the error TypeError: cannot concatenate 'str' and 'NoneType' objects No problem at all with the same dataset saved in Stata 12 format. I thought that the latest release of pandas (0.13.1) handled Stata 13 dataset files. Am I doing something wrong? 回答1: My guess is you're not doing anything inherently wrong, but that your version of pandas can't handle Stata 13 dataset files. As

问题 My internet connection is extremely slow and therefore I execute batch files on the server without GUI, i.e. directly from the terminal. However, oftentimes I need to make a few changes in the code and a text editor highlighting Stata syntax would not hurt. Is there one? 回答1: Sublime Text editor has a package for Stata. If you're using mac you can find installation instructions here. 回答2: There is a whole list of text editors that Stata users have found useful here: http://fmwww.bc.edu/repec

问题 I am working with a set of dta files representing surveys from different years. Conveniently, each year uses different values for the country variable, so I am trying to set the country value labels for each year to match. I am having trouble comparing value labels though. So far, I have come up with the following code: replace country=1 if countryO=="Japan" replace country=2 if countryO=="South Korea" | countryO=="Korea" replace country=3 if countryO=="China" replace country=4 if countryO==

问题 When working on a hierarchical/multilevel/panel dataset, it may be very useful to adopt a package which returns the within- and between-group standard deviations of the available variables. This is something that with the following data in Stata can be easily done through the command xtsum, i(momid) I made a research, but I cannot find any R package which can do that.. edit: Just to fix ideas, an example of hierarchical dataset could be this: son_id mom_id hispanic mom_smoke son_birthweigth 1

问题 I'm very new to R, and have been struggling for a couple of days to do something that Stata makes quite straightforward. A friend has given me a relatively complicated answer to this question, but I was wondering if there was a simple way to do the following. Suppose I have a two variable dataframe, organized as below: category var1 a 1 a 2 a 3 b 4 b 6 b 8 b 10 c 11 c 14 c 17 I want to generate five additional variables, each of which should be inserted into this same dataframe: var2 , var3 ,

问题 The statistical software Stata allows short text snippets to be saved within a dataset. This is accomplished either using notes and/or characteristics. This is a feature of great value to me as it allows me to save a variety of information, ranging from reminders and to-do lists to information about how I generated the data, or even what the estimation method for a particular variable was. I am now trying to come up with a similar functionality in Python 3.6. So far, I have looked online and