I have data like i show below, where as you can see, some values are way too high, and others too low. I want to exclude those.
For that my idea was to do a mean were I can exclude outliers, and if a value x times higher or x times lower than that mean I calculated, it would be excluded.
I need it to depend on the 1st column, and I also excluded zero.
The 15% are just an example, I will define a value but for now it isn't decisive for me.
I do not think I can make it clearer than this.
[TABLE="width: 154"]
<tbody>[TR]
[TD]LFMN[/TD]
[TD] 0.0826[/TD]
[/TR]
[TR]
[TD] LFMN[/TD]
[TD] 0.0834[/TD]
[/TR]
[TR]
[TD] LFMN[/TD]
[TD] 0.0829[/TD]
[/TR]
[TR]
[TD] LFMN[/TD]
[TD] 0.0826[/TD]
[/TR]
[TR]
[TD] LFMN[/TD]
[TD] 0.0834[/TD]
[/TR]
[TR]
[TD] LFMN[/TD]
[TD] 0.1305[/TD]
[/TR]
[TR]
[TD] LFMN[/TD]
[TD] 0.3058[/TD]
[/TR]
[TR]
[TD] LFMN[/TD]
[TD] 0.0452[/TD]
[/TR]
[TR]
[TD] LFMN[/TD]
[TD] 0.2625[/TD]
[/TR]
[TR]
[TD] LFMN[/TD]
[TD] 0.2640[/TD]
[/TR]
[TR]
[TD] LFMN[/TD]
[TD] 0.6166[/TD]
[/TR]
[TR]
[TD] LFMN[/TD]
[TD] 0.2887[/TD]
[/TR]
[TR]
[TD] LFMN[/TD]
[TD] 0.0853[/TD]
[/TR]
[TR]
[TD] LFMN[/TD]
[TD] -[/TD]
[/TR]
[TR]
[TD] LFMN[/TD]
[TD] 0.0792[/TD]
[/TR]
[TR]
[TD] LFMN[/TD]
[TD] 0.0854[/TD]
[/TR]
[TR]
[TD] LFMN[/TD]
[TD] 0.0386[/TD]
[/TR]
[TR]
[TD] LFMN[/TD]
[TD] 0.4018[/TD]
[/TR]
[TR]
[TD] LFMN[/TD]
[TD] 0.0853[/TD]
[/TR]
</tbody>[/TABLE]