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visits member for 1 year, 11 months
seen Nov 19 at 14:43

Nov
18
comment Export MatrixPlot graphics to PDF
Your solution works for me as well, but the exported graphic is still a bit more fuzzy than if I save it as png for example. Is there a way to improve the level of fuzzyness based on your code (even if it increases the size of the pdf)?
Oct
20
accepted Impose the color for one discrete value above a color predefined gradient
Oct
20
accepted ListPlot with lots of same couples of values
Oct
20
asked Plots to check all assumptions of linear regression
Oct
17
accepted Add reference letters to multipanel figures
Oct
16
asked Add reference letters to multipanel figures
Sep
22
accepted Change the legend labels' font when PlotLegends is Automatic
Sep
21
comment ListPlot with lots of same couples of values
Oh I see I just need a legend for the colors.
Sep
21
comment ListPlot with lots of same couples of values
This works great, except when you have a LOT of points with the same value, in this case the dots are so big that they hide smaller dots and fill almost the whole figure.
Sep
21
comment ListPlot with lots of same couples of values
This colors the points but I still can't distinguish them as they are stacked
Sep
21
asked ListPlot with lots of same couples of values
Sep
16
comment General F statistic and p value in LinearModelFit
I also see that adding the interactions to the model has changed the coefficients I had without interactions. How do I know which coefficients I should keep?
Sep
16
comment General F statistic and p value in LinearModelFit
@SjoerdC.deVries degrees of freedom are calculated differently in ANOVA than in LinearModelFit, which changes the MS and thus F ratios. What can I really infer from ANOVA[] for the interactions in my multiple regression?
Sep
16
accepted General F statistic and p value in LinearModelFit
Sep
16
comment General F statistic and p value in LinearModelFit
With a F value of 570.523, I get a p value of 0. I guess it's because my F value is really really high, but how should I report this result? Prob > F = 0.000 ?
Sep
14
comment General F statistic and p value in LinearModelFit
thanks a lot! Yeah I'd love to see them too...
Sep
9
comment General F statistic and p value in LinearModelFit
model[{"ANOVATableFStatistics"}] gives F statistics for each predictor variable, but what I would like is the overall F statistic, usually computed with the formula F = MS Model / MS Error (and the p value associated)
Sep
8
revised General F statistic and p value in LinearModelFit
added 101 characters in body
Sep
7
asked General F statistic and p value in LinearModelFit
Aug
4
comment How does Mathematica identify outliers?
@MichaelE2 Oh ok I missed it. So they prefer to explain it with an expression more than with a sentence but from what I understand a "near outlier" (represented by a filled circle) is a point which falls more than 1.5 times the interquartile range above the third quartile or below the first quartile, and a "far outlier" (empty circle) is a point which falls more than 3 times the interquartile range above the third quartile or below the first quartile.