I think my point was more that if I specify "y,5" for the y, which is close to 50% of the values, then I get a reasonable result while if the default 5% is used, then I don't. Or did I miss something?
Cheers, Fred On Wednesday 26 November 2014 13:39:16 Jeremy Sanders wrote: > On 26/11/14 13:31, Fred Labrosse wrote: > > Thanks, that did it. Interestingly enough, the console said "Warning: > > No errors on y values. Assuming 5% errors", which I thought was > > appropriate. Clearly not. > > > > However, it seems that whatever value I specify as an error makes it > > work. y,5 gives more or less the same as y,0.1... > > Yes, it's 5% not 10%. The reason it fails with fractional errors is that > the lower the y value the lower the uncertainty. Your outliers have low > y values and so they get extra weight because they have lower > uncertainties. Any sensible constant y uncertainty value should work for > your data. > > A default constant error would have been better. Most of my data is > fitting powerlaws, where the uncertainties are typically fractional, so > that's probably why I chose that default. > > Cheers > > Jeremy _______________________________________________ Veusz-discuss mailing list Veuszemail@example.com https://mail.gna.org/listinfo/veusz-discuss