search for: 315424

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2008 Sep 01
1
intercept of 3D line? (Orthogonal regression)
I posted before recently about fitting 3D data x, y, z where all have error attached. I want to predict z from x and y; something like z = b0 + b1*x + b2*y But multiple regression is not suitable because all of x, y, and z have errors. I have plotted a 3D scatterplot of some data using rgl. I see that the data form a cigar-shaped cloud. I think multiple regression is only suitable when the points
2017 Oct 13
2
How to define proper breaks in RFM analysis
...7 8/8/2017 23 7 6.727142857 315388 7.89 8/31/2017 0 12 11.265 315391 12 8/21/2017 10 1 12 315396 7.36 6/28/2017 64 1 7.36 315398 12.37 8/27/2017 4 3 10.07666667 315400 17.34 8/25/2017 6 1 17.34 315401 8.98 8/12/2017 19 6 9.126666667 315415 12.36 6/30/2017 62 1 12.36 315417 10.58 8/28/2017 3 5 9.052 315424 8.27 8/23/2017 8 9 10.50222222 315427 9.47 8/5/2017 26 2 10.57 315437 11.87 7/13/2017 49 1 11.87 315440 10.56 7/31/2017 31 3 11.42 315446 6.17 8/3/2017 28 4 17.525 315447 9.08 8/10/2017 21 3 9.806666667 315448 7.99 7/29/2017 33 2 9.28 315449 18.94 8/30/2017 1 2 12.865 315453 13.26 8/21/2017 10 5 8....
2017 Oct 13
0
How to define proper breaks in RFM analysis
Hi Your statement about attaching data is problematic. We cannot do much with it. Instead use output from dput(yourdata) to show us what exactly your data look like. We also do not know how do you want to split your data. It would be nice if you can show also what should be the bins with respective data. Unless you provide this information you probably would not get any sensible answer. Cheers
2017 Oct 13
0
How to define proper breaks in RFM analysis
...017 0 12 11.265 315391 12 8/21/2017 10 1 12 315396 7.36 6/28/2017 64 1 7.36 315398 12.37 8/27/2017 4 3 10.07666667 315400 17.34 8/25/2017 6 1 17.34 315401 8.98 8/12/2017 19 6 9.126666667 315415 12.36 6/30/2017 62 1 12.36 315417 10.58 8/28/2017 3 5 9.052 315424 8.27 8/23/2017 8 9 10.50222222 315427 9.47 8/5/2017 26 2 10.57 315437 11.87 7/13/2017 49 1 11.87 315440 10.56 7/31/2017 31 3 11.42 315446 6.17 8/3/2017 28 4 17.525 315447 9.08 8/10/2017 21 3 9.806666667 315448 7.99 7/29/2017 33 2 9.28 315449 18.94 8/30/20...
2017 Oct 12
3
How to define proper breaks in RFM analysis
Hello, I'm working on RFM analysis and i wanted to define my own breaks but my frequency distribution is not normally distributed so when I'm using quartile its not giving the optimal results. so I'm looking for a better approach where i can define breaks dynamically because after visualization i can do it easily but i want to apply this model so that it can automatically define the