Hi everyone!
I am looking for some advice on how to categorize into categorical variables of different magnitudes based on the cut-points where the observed distribution crosses over the Gaussian normal distribution.
Just like the following graph, the cut-points are on -82, -21, 16 and 96.
From: Park, A. Y., & Sapotichne, J. (2019). Punctuated equilibrium and Bureaucratic autonomy in American city governments. Policy Studies Journal, 48(4), 896-925. doi:10.1111/psj.12333
Array
I want to categorize into categorical variables by the following picture. Are there any solutions for me to get the value of the cut-points?
Array
Thanks,
May
Related Posts with how to categorize into categorical variables based on the cut-points where the observed distribution crosses over the normal distribution?
Individual unit effect in xtregarHello Statalist, I am running a panel data fixed effect regression. The N=620, t=10. Given the autoc…
itsa outputGood evening, I am running a time series analysis with multiple groups using ITSA. The initial data…
Evaluating whether a vector of strings is in a dfIf I want to see whether a string is in a column at the most simplest, I can do something like: Exa…
using 'if' command vs interaction termshi all im running some regressions and want to examine the difference between high income areas an…
eivreg (with perfect reliability) is different than regressHi All, It seems to me that using eivreg with all reliabilities=1.0 should produce identical estimat…
Subscribe to:
Post Comments (Atom)
0 Response to how to categorize into categorical variables based on the cut-points where the observed distribution crosses over the normal distribution?
Post a Comment