Ichthyostega
1d4f6afd18
- use parameters known to produce a clean linear model - assert on properties of this linear model Add extended documentation into the !TiddlyWiki, with a textual account of the various findings, also including some of the images and diagrams, rendered as SVG
179 lines
7.8 KiB
Text
179 lines
7.8 KiB
Text
#
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#
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# GNUPLOT - data plot from Lumiera
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#
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set term wxt size 600,600
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set datafile separator ",;"
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####---------Data--------------------------------
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$RunData << _End_of_Data_
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"load size","result time","concurrency","avg jobtime","avg impeded"
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153,170.946512,7.78687575678642,8700.25653594771,5.00798039215686
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44,62.23816,6.27163995529431,8871.25752272727,12.1919318181818
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183,203.423327,7.75858338016465,8624.4636284153,13.1594808743169
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42,56.112058,6.78149748134349,9060.09,44.8326904761905
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90,100.047863,7.59502188467534,8442.95232222222,7.94103333333333
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135,154.629696,7.63453155207652,8744.6318,9.55625185185185
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158,178.711938,7.6224815322634,8621.69903164558,19.8237848101266
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107,123.18375,7.45052793895299,8577.42028971962,4.03854205607477
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184,210.967189,7.53411515569845,8638.32117391305,21.1774891304348
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166,187.874357,7.6084824657577,8611.07681325302,7.85254819277108
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117,140.797535,7.3004006568723,8785.28561538462,63.0558461538462
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178,202.060661,7.63797121301113,8670.41298876405,7.93822471910112
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134,154.345701,7.52624548966219,8668.98235820895,7.90755970149254
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192,211.836526,7.87293083724381,8686.32457291667,4.667359375
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175,200.123106,7.57198753950981,8659.02665714286,11.2267371428571
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41,48.978404,7.01731289569991,8382.84843902439,6.01575609756098
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45,58.274311,6.83578161910829,8852.23253333333,76.9384888888889
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151,172.980433,7.58952424983235,8694.2992781457,4.47547682119205
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132,153.026385,7.55264709415962,8755.71425757576,7.99570454545455
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158,178.018003,7.71592079931377,8693.49881012659,8.37062025316456
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69,92.36753,6.56372200274274,8786.59114492753,68.7861014492754
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124,143.783357,7.45693382997032,8646.63692741935,14.2164193548387
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82,105.241708,7.11045134311199,9125.80541463415,33.7637926829268
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182,201.71038,7.80215036529107,8647.11381868131,11.6857802197802
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142,161.895882,7.64046158999893,8710.98076056338,17.8816971830986
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180,205.45594,7.53362558415201,8599.04514444444,4.43985
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92,123.926265,6.51652633120187,8777.92140217391,174.256630434783
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125,145.977467,7.69331672949223,8984.407112,7.557792
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148,167.747099,7.65965778043053,8681.65791891893,14.4133716216216
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148,171.986958,7.59045817299705,8820.67439864864,16.6693513513514
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75,102.291856,7.14353657831763,9743.0082,34.5084
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102,135.271044,7.37042686681712,9774.56212745098,5.23352941176471
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162,184.31177,7.60523132082123,8652.67682716049,3.55493827160494
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58,72.810445,6.92005793948931,8687.11203448276,7.53760344827586
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114,128.121482,7.53414729467459,8467.42207894737,14.7899736842105
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52,64.053725,7.24216978793973,8920.92215384616,24.6449038461538
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163,183.382431,7.67686917619715,8636.82780368098,4.41739877300614
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72,84.678058,7.18322151412589,8448.07288888889,44.6918888888889
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129,147.917639,7.55477410642013,8662.66937209302,2.45032558139535
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146,168.145135,7.61967169612133,8775.41593150685,29.6997534246575
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38,51.818695,6.66403374303425,9087.4087368421,59.5343947368421
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46,58.756216,7.18251839090523,9174.29569565217,19.0596304347826
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124,154.073539,7.48495967889723,9300.27602419355,21.2015
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142,183.827489,7.71538247470703,9988.02385211267,4.56102816901408
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38,56.228229,6.82857845300445,10104.1808684211,25.8802894736842
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99,119.6339,7.33980391845455,8869.58957575758,2.46583838383838
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153,174.549751,7.75248096458184,8844.40275816994,7.52324836601307
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53,68.231081,6.97641758013477,8981.29269811321,23.7217924528302
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50,67.754534,6.86505280960238,9302.76908,17.53768
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85,108.94381,7.09744277348112,9096.73478823529,10.4850823529412
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181,202.123233,7.78004533996347,8687.99954143647,8.87863535911602
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89,104.348229,7.44979666113931,8734.52907865169,5.81651685393259
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179,203.595589,7.701035870674,8759.20074860335,4.36360893854749
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63,78.600133,7.0536965503608,8800.34106349207,26.3423492063492
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72,88.062773,7.19550271259343,8800.77669444444,18.2799722222222
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121,141.65176,7.5069013473606,8788.14700826446,11.9957024793388
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42,54.373882,7.26977586408121,9411.56988095238,27.6116904761905
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133,153.982931,7.60265251737545,8802.09562406016,1.32300751879699
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46,55.878697,7.22372087523802,8775.04586956521,30.4320434782609
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161,183.281008,7.6095385835067,8662.63293167702,8.46380124223603
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82,101.811279,6.97652248332918,8662.05703658537,51.9063658536585
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91,110.203893,7.23693537759142,8764.15881318681,34.950032967033
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62,78.678888,6.95584745681713,8827.0700483871,4.51682258064516
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44,59.766715,6.99746832329667,9504.90215909091,17.1681590909091
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119,138.043866,7.48610716248703,8684.12751260504,1.31360504201681
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146,163.142201,7.69377247766812,8597.11627397261,16.3477876712329
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65,80.939635,7.10862072703935,8851.83333846153,2.93209230769231
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82,99.235561,7.24491740415515,8767.72491463414,2.91723170731707
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188,213.363011,7.70100523656371,8739.94502659574,3.68948404255319
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164,185.166253,7.76932021192868,8772.04824390244,5.72121341463415
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198,223.197176,7.71031646923704,8691.51950505051,1.21380303030303
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196,220.192503,7.69108110824282,8640.4,0.430612244897959
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180,206.330767,7.6558709685793,8775.78738333333,10.3256
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123,144.721694,7.31167694872339,8602.91279674797,16.6400650406504
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138,160.709094,7.55113937733978,8793.74469565217,25.4078550724638
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188,209.142032,7.85878765393271,8742.56818617022,1.85203191489362
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192,219.726544,7.6175970892256,8717.64730208333,8.65040625
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91,106.028299,7.41373312043797,8638.08254945055,10.6057692307692
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200,228.362229,7.53655624897583,8605.32391999999,55.18684
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30,44.530553,6.37356549333667,9460.6132,39.0685333333333
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_End_of_Data_
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#
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#---common-styles-for-plots-from-Lumiera---------
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set style line 1 linetype 1 linewidth 2 linecolor rgb '#240CC3'
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set style line 2 linetype 3 linewidth 2 linecolor rgb '#1149D6'
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set style line 3 linetype 2 linewidth 2 linecolor rgb '#0B7FCC'
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set style line 4 linetype 6 linewidth 2 linecolor rgb '#37999D'
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set style line 5 linetype 7 linewidth 2 linecolor rgb '#248269'
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set style line 6 linetype 13 linewidth 2 linecolor rgb '#00C443'
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set style line 7 linetype 12 linewidth 2 linecolor rgb '#EBE83E'
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set style line 8 linetype 5 linewidth 2 linecolor rgb '#762C14'
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set style line 9 linetype 4 linewidth 2 linecolor rgb '#AA0519'
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set style line 10 linetype 1 linewidth 1 linecolor rgb '#303030'
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set style line 11 linetype 0 linewidth 1 linecolor rgb '#A0A0A0' dashtype 3
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#---(End)styles----------------------------------
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#
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#---axis-and-grid-setup--------------------------
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unset border
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set tics nomirror
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set grid back linestyle 11
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set arrow 10 from graph 0,0 to graph 1.04,0 size screen 0.025,15,60 filled ls 10
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set arrow 11 from graph 0,0 to graph 0,1.08 size screen 0.025,15,60 filled ls 10
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set xlabel 'load size ⟶ number of jobs'
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set ylabel 'active time ⟶ ms' offset 2
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set key autotitle columnheader tmargin
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#
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stats $RunData using 1:2 nooutput
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# regression line function derived from data
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regLine(x) = STATS_slope * x + STATS_intercept
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#
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regLabel = sprintf("Model: %3.2f·p + %3.2f", STATS_slope, STATS_intercept)
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set key horizontal width -4
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set xtics 10
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plots = STATS_columns - 1
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# Adjust layout based on number of data sequences;
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# additional sequences placed into secondary diagram
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#
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if (plots > 1) {
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set multiplot layout 2,1 # 2 rows 1 column
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set lmargin at screen 0.12 # fixed margins to align diagrams
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set rmargin at screen 0.88
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}
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#
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#
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####---------Scatter-Regression-Plot-------------
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plot $RunData using 1:2 with points linestyle 1, \
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regLine(x) with line linestyle 9 title regLabel
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if (plots > 1) {
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# switch off decorations for secondary diagram
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unset arrow 10
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unset arrow 11
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set border 2+8
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set key bmargin vertical
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unset xlabel
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set format x ""
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set ylabel 'concurrent threads ⟶'
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if (plots <= 2) {
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####---------------------------------
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plot $RunData using 1:3 with impulses linestyle 3
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} else {
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# more than one additional data sequence
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#
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set y2tics
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set y2label 'avg job time ⟶ µs' offset -2.6
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####---------------------------------------------
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plot $RunData using 1:3 with impulses linestyle 3, \
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for [i=4:*] $RunData using 1:i with points linestyle 5+(i-4) axes x1y2
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}
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}
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