Hi. I work with efficiency data that is between zero and one and use the following command to transform data.
[gen angular = asin(sqrt(efficiency)]
However, after the Kolmogrov-Smirnov normality distribution test for independent t-test, the distribution of transformed data was not normal. How can I normalize data distribution?
Thanks
Related Posts with normality distribution
Python Integration - Matplotlib Error (suggested fix does not work)I've seen this before, but the answer didn't work for me. I'm using Stata 16, and Python 3 under Ana…
Heckman not concave, but probit converge in the same log likelihoodHi I have a strange problem. When I try to run a model using heckman my model is not concave, howeve…
Interpreting continuous var by continuous var interactions for FE Poisson modelHi all, I'm looking at the effect of fire occurrence on the number of visits to National Forests an…
userwritten command for Stata (based on powershell) does not work , but the equivalent in Powershell does workDear all, I am trying to personalize a user written ado, winmail by Iain Soddy, ado and help file a…
Creating a Dummy Variable in Stata for Panel DataHello all, I want to create a dummy variable that removes the effects of the financial crisis. I ha…
Subscribe to:
Post Comments (Atom)
0 Response to normality distribution
Post a Comment