Now, we can compare the results of our model fit to the two datasets using estimates table. frame patients: regress sbp c.age#c.bmiįrame nhanes2: svy linearized : regress bpsystol c.age#c.bmi Note that I have used estimates store to store the parameter estimates in memory. And we can use the frames prefix to fit the same regression model with survey weights using the NHANES data. Now, we can use the frames prefix to fit a linear regression model without survey weights using the patient data. We can also see the number of observations, the number of variables, and the datasets that are contained in each frame. One is named default and the other two are the frames we created. We can type frame dir to verify that we have three data frames in memory. We can then create another data frame named nhanes2 and webuse the dataset nhanes2. Then, we can use the frame prefix to use the patient data in the data frame patients. Let’s begin by using frame create to create a new data frame named patients. But it would be difficult and frustrating to fit models with survey weights for some observations and not others. It might be possible to append the two datasets into a single dataset and use an indicator variable to differentiate between the observations from each study. The NHANES data contain survey weights and my data do not. I would like to compare the results of regression models using my data with the results using the NHANES data. In this example, I have simulated patient data in one dataset and data from the NHANES study, which is a nationally representative sample of people in the United States. I simply want to show you some of the useful things that you can do with frames, including the following:
STATA MP MAXVAR MANUAL
There is a detailed introduction to frames in the Stata 16 manual that will make you an expert. This blog post is not meant to be an introduction to frames. I’m going to show you that feature below, and I expect that it will blow your mind as well. Along the way, I discovered a feature of frames that completely blew my mind. I began by reading the manual and then tinkered with my genetic data. Working with 23 datasets became cumbersome, so I thought I’d check out frames. I simulated patient data along with genetic data for each of 22 chromosomes saved in 22 separate datasets.
Then I started working on an example for lasso using genetic data. But I have used Stata for over 20 years, and I have been perfectly happy using one dataset at a time. Adding frames was a smart decision and our customers are excited. Yes, frames has been one of the most requested features for many years, and our website analytics show that frames is wildly popular.
I wasn’t excited about the addition of frames to Stata 16. * Add pattern(*.xlsx) provent importing add file type(. Well, it's manageable, but I still want to know if I can fully automate this process, more specifically, to "exhaust" the max allowable macro length,import the files and add another group of subdirs next time. Since having roughly 100 subdirs, I suppose to replicate the actions for 20 times. When I reduce the number of subdirs to 5, Stata works fine. Thus, the maximum line length may be set up to 4,227,159 characters if you set maxvar to its largest value. Each unit increase in set maxvar increases the length maximums by 129.The maximum value of set maxvar is 32,767. The maximum line length is defined as 16 more than the maximum macro length, which is currently 645,200 characters. What follows is relevant only if you are using Stata/SE or Stata/MP. You can change that in Stata/SE and Stata/MP. The maximum allowed length is 645,216 characters, which is calculated on the basis of set maxvar. The line resulting from substituting macros would be longer than allowed. Macro substitution results in line that is too long. After the command local n: word count Stata sends an error message: Because I have so many separate files, the length of local macro seems to hit its upper bound. Thanks to Ferrer's great suggestion, I almost manage to do this. Previously, I wanted to "acquire complete list of subdirs" and then read the files in these subdirs into Stata (see this post and this post). My question's title may be a little bit ambiguous.