Stem(data)

0a87a253-cec2-4d0b-934a-572bee5b604c 68 3 5 decimal

&[DATE] &[TIME] - &[FILENAME]

Stem(data)

Spectrum stem plot for QuickPlot unicolor data Stem stemX 1 data rows range : i 1 stemX rows range stem i el data i 1 el data i 2 el data i 1 el 022 mat : for i 1 stem rows 1 - range stem i el stem i el stem i 1 + (1 el 1 el 012 mat stack : for V stem 1 el : j 2 stem rows 1 - range V V stem j el stack : for V V data data rows row stack : 71 line :

ε 103 -^:

More random stuff

n 300 :

X Min X Max 21 mat 1771639021 mat ≡

16390177 / 92.599

n rnd n random :

Y Min Y Max 21 mat 11543021 mat ≡

n myrnd j 1 n range x j el j rnd ε + : y j el j rnd ε + : 21 line for x x 13 y * + augment 21 line :

void n myrnd : sub void 1200 range 12 range el : X sub 1 col : Y sub 2 col : 41 line

size min max vx vy wHisto weighted histogram ... Paul W. vx last vx rows : numbins max min - size / : hist numbins el 0 : solids numbins el 0 : i 1 numbins range bin_mid i el i 1 + (size * size 2 / - : j 1 vx last range i size * vx j el ≤ (i 1 + (size * < hist i el hist i el 1 + : solids i el solids i el vy j el + : 21 line 0 if for 21 line for bin_mid hist vx last / solids vy sum / augment 71 line :

X Y X / vectorize augment X sort Y X / ( vectorize sort augment 2 1 sys

size 0.05 : Nbin 2 size / : 21 sys

f size 02 Y X / vectorize (X wHisto eval :

data f 1 col f 3 col augment :

f rows 40

data data 119 range 12 range el :

data Stem plotG(vx,vy,char,size,clr)

data spec pts i 1 data rows range p i el a b c spec : for v p 1 el : Unest 'p' j 2 p rows range v v p j el stack : for data v augment 51 line :

XY

XY 0.013 12 0.038 57 0.063 96 0.088 91 0.113 83 0.138 97 0.163 111 0.188 114 0.213 109 0.238 142 0.263 111 0.288 139 0.313 103 0.338 119 0.363 127 0.388 118 0.413 156 0.438 137 0.463 133 0.488 125 0.513 101 0.538 105 0.563 116 0.588 110 0.613 94 0.638 104 0.663 90 0.688 87 0.713 84 0.738 73 0.763 87 0.788 82 0.813 68 0.838 70 0.863 65 0.888 66 0.913 51 0.938 49 0.963 48 0.988 44 1.013 41 1.038 39 1.063 38 1.088 37 1.113 32 1.138 35 1.163 30 1.188 29 1.213 23 1.238 30 1.263 21 1.288 23 1.313 26 1.338 23 1.363 24 1.388 19 1.413 14 1.438 17 1.463 13 1.488 22 1.513 12 1.538 14 1.563 10 1.588 18 1.613 14 1.638 13 1.663 10 1.688 14 1.713 8 1.738 8 1.763 4 1.788 8 1.813 6 1.838 9 1.863 10 1.888 9 1.913 3 1.938 2 1.963 8 1.988 4 2.013 4 2.038 10 2.063 4 2.088 3 2.113 1 2.138 5 2.163 2 2.188 5 2.213 3 2.238 4 2.263 7 2.288 9 2.313 1 2.338 1 2.363 5 2.388 6 2.413 3 2.438 5 2.463 3 2.488 2 2.513 1 2.538 1 2.563 2 2.588 1 2.613 4 2.638 4 2.663 1 2.688 3 2.713 4 2.738 4 2.763 4 2.788 1 2.813 4 2.838 0 2.863 2 2.888 4 2.913 2 2.938 0 2.963 0 2.988 0 3.013 1 3.038 2 3.063 1 3.088 2 3.113 0 3.138 0 3.163 1 3.188 0 3.213 0 3.238 0 3.263 1 3.288 0 3.313 1 3.338 0 3.363 1 3.388 3 3.413 1 3.438 0 3.463 1 3.488 0 3.513 0 3.538 1 3.563 1 3.588 3 3.613 0 3.638 0 3.663 1 3.688 0 3.713 0 3.738 0 3.763 0 3.788 0 3.813 1 3.838 1 3.863 0 3.888 1 3.913 0 3.938 2 3.963 1 3.988 2 4.013 0 4.038 0 4.063 1 4.088 1 4.113 0 4.138 0 4.163 1 4.188 0 4.213 0 4.238 1 4.263 0 4.288 0 4.313 0 4.338 0 4.363 1 4.388 0 4.413 0 4.438 1 4.463 0 4.488 0 4.513 1 4.538 0 4.563 0 4.588 0 4.613 1 4.638 0 4.663 0 4.688 1 4.713 0 4.738 0 4.763 0 4.788 0 4.813 0 4.838 0 4.863 0 4.888 0 4.913 1 4.938 0 4.963 1 4.988 12002 mat :

The data set XY was collected from Paul W. wHisto then fitted from Genfit VoidRatio.sm ... Original data set is 4660, the wHisto from original decimated by [2] => an identical wHisto from which 200 pairs were conserved for fitting the model.

X Min X Max 21 mat 1771639021 mat ≡

Y Min Y Max 21 mat 11543021 mat ≡

The user PDF model x β f β 1 el x * β 2 el x * exp * :

β 1146.0242 3.1887 - 21 mat :

peakfit location px 0.3125 :

Absolute residuals δ i 1 XY rows range Δ i el Y i el X i el β f - 0 round eval : for X Y Δ augment 21 line :

X XY 1 col : Y XY 2 col : 21 line

x c 10 x ≤ (x 5 ≤ (& cases :

a b c spec . 8 black 13 mat : data XY a b c spec pts : 21 line

data x β f x c * px 200 px 10 - 2 2 mat 3 1 sys

Δelta X δ 3 col augment : stem Δelta Stem : 21 line

0 stem px 50 px 50 - 2 2 mat 3 1 sys