Timeline for How to get ellipse region from bivariate normal distributed data?
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
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| Mar 13, 2012 at 14:35 | comment | added | whuber♦ | That needs a new question, because you need to specify what you seek the confidence of and--judging from your plots--there are concerns about whether such ellipses are adequate descriptions of the data in the first place. | |
| Mar 13, 2012 at 12:29 | comment | added | matejuh | Does the levels coresponds to confidence level? I dont think so. How can I do that please? | |
| Mar 12, 2012 at 17:03 | vote | accept | matejuh | ||
| Mar 9, 2012 at 19:03 | comment | added | whuber♦ | I cannot find a simple solution in R. Consider using Mathematica 8's "SmoothKernelDistribution" function. | |
| Mar 9, 2012 at 18:50 | comment | added | matejuh | Btw. is there any simple solution for kernel density estimation contours? Because if I want to be more strict, my data looks like:github.com/matejuh/doschecker_wiki_images/raw/master/… resp. github.com/matejuh/doschecker_wiki_images/raw/master/… | |
| Mar 9, 2012 at 18:41 | comment | added | matejuh | Thank you all, especially @whuber. This is exactly what I need. | |
| Mar 9, 2012 at 18:38 | vote | accept | matejuh | ||
| Mar 12, 2012 at 17:03 | |||||
| Mar 9, 2012 at 17:18 | history | answered | whuber♦ | CC BY-SA 3.0 |
