Publications by Econometrics and Free Software
Statistical matching, or when one single data source is not enough
I was recently asked how to go about matching several datasets where different samples of individuals were interviewed. This sounds like a big problem; say that you have dataset A and B, and that A contain one sample of individuals, and B another sample of individuals, then how could you possibly match the datasets? Matching datasets requires a c...
1962 sym 4 img
Statistical matching, or when one single data source is not enough
I was recently asked how to go about matching several datasets where different samples of individuals were interviewed. This sounds like a big problem; say that you have dataset A and B, and that A contain one sample of individuals, and B another sample of individuals, then how could you possibly match the datasets? Matching datasets requires a c...
1962 sym 4 img
Using linear models with binary dependent variables, a simulation study
This blog post is an excerpt of my ebook Modern R with the tidyverse that you can read for free here. This is taken from Chapter 8, in which I discuss advanced functional programming methods for modeling. As written just above (note: as written above in the book), map() simply applies a function to a list of inputs, and in the previous section we...
7127 sym R (8140 sym/19 pcs) 4 img
Using linear models with binary dependent variables, a simulation study
This blog post is an excerpt of my ebook Modern R with the tidyverse that you can read for free here. This is taken from Chapter 8, in which I discuss advanced functional programming methods for modeling. As written just above (note: as written above in the book), map() simply applies a function to a list of inputs, and in the previous section we...
7127 sym R (8140 sym/19 pcs) 4 img
Modern R with the tidyverse is available on Leanpub
Yesterday I released an ebook on Leanpub, called Modern R with the tidyverse, which you can also read for free here. In this blog post, I want to give some context. Modern R with the tidyverse is the second ebook I release on Leanpub. I released the first one, called Functional programming and unit testing for data munging with R around Christmas...
4481 sym 4 img
Modern R with the tidyverse is available on Leanpub
Yesterday I released an ebook on Leanpub, called Modern R with the tidyverse, which you can also read for free here. In this blog post, I want to give some context. Modern R with the tidyverse is the second ebook I release on Leanpub. I released the first one, called Functional programming and unit testing for data munging with R around Christmas...
4480 sym 4 img
{disk.frame} is epic
Note: When I started writing this blog post, I encountered a bug and filed a bug report that I encourage you to read. The responsiveness of the developer was exemplary. Not only did Zhuo solve the issue in record time, he provided ample code snippets to illustrate the solutions. Hats off to him! This blog post is a short presentation of {disk.fra...
4969 sym R (1124 sym/7 pcs) 6 img
{disk.frame} is epic
Note: When I started writing this blog post, I encountered a bug and filed a bug report that I encourage you to read. The responsiveness of the developer was exemplary. Not only did Zhuo solve the issue in record time, he provided ample code snippets to illustrate the solutions. Hats off to him! This blog post is a short presentation of {disk.fra...
4969 sym R (1124 sym/7 pcs) 6 img
Split-apply-combine for Maximum Likelihood Estimation of a linear model
Intro Maximum likelihood estimation is a very useful technique to fit a model to data used a lot in econometrics and other sciences, but seems, at least to my knowledge, to not be so well known by machine learning practitioners (but I may be wrong about that). Other useful techniques to confront models to data used in econometrics are the minimum...
6177 sym R (1856 sym/5 pcs) 8 img
Split-apply-combine for Maximum Likelihood Estimation of a linear model
Intro Maximum likelihood estimation is a very useful technique to fit a model to data used a lot in econometrics and other sciences, but seems, at least to my knowledge, to not be so well known by machine learning practitioners (but I may be wrong about that). Other useful techniques to confront models to data used in econometrics are the minimum...
6177 sym R (1856 sym/5 pcs) 8 img