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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 11 Oct 2010 20:11:38 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/11/t1286827848txxmfvclbdgus77.htm/, Retrieved Thu, 25 Apr 2024 01:00:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=82690, Retrieved Thu, 25 Apr 2024 01:00:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact92

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2010-10-11 20:11:38] [52155cb4a0f4e82e45e5dee9f8750a2f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
84,9
81,9
95,9
81
89,2
102,5
89,8
88,8
83,2
90,2
100,4
187,1
87,6
85,4
86,1
86,7
89,1
103,7
86,9
85,2
80,8
91,2
102,8
182,5
80,9
83,1
88,3
86,6
93
105,3
93,8
86,4
87
96,7
100,5
196,7
86,8
88,2
93,8
85
90,4
115,9
94,9
87,7
91,7
95,9
106,8
204,5
90,2
90,5
93,2
97,8
99,4
120
108,2
98,5
104,3
102,9
111,1
188,1
93,8
94,5
112,4
102,5
115,8
136,5
122,1
110,6
116,4
112,6
121,5
199,3

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82690&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82690&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82690&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0180.86762930718060.192818153697301
0.0281.02919251336040.437710890360995
0.0381.30049944005550.750081970514561
0.0481.67650120617451.03381921460975
0.0582.13126518401321.23233133024575
0.0682.62797560456621.33467400116940
0.0783.13114363375921.35615498122351
0.0883.61405905434531.31936407471129
0.0984.0605884138351.24571928688133
0.184.4636645444131.15436946551581
0.1184.8227153002731.06145476135430
0.1285.1411508095170.977640502492586
0.1385.4242891837020.907069455008201
0.1485.67786488118830.848946464837351
0.1585.90718576522580.800516224758
0.1686.11688297415360.760380519724615
0.1786.31105703687070.729608673695317
0.1886.49355773381020.710972904616293
0.1986.6681794280680.707211493039679
0.286.83866861170790.719655167037566
0.2187.0085589491660.747091512772179
0.2287.18092249723630.786252274955875
0.2387.35814122577210.832815102183768
0.2487.54177539021850.882550747032003
0.2587.73256005136280.931661085537121
0.2687.93051973183450.977465514412862
0.2788.13516541646121.01854859403295
0.2888.34572956333351.05453188316293
0.2988.56139894851761.08606800760148
0.388.78151539618771.11469650003027
0.3189.00572520760731.14253968419363
0.3289.23406650268731.17212523480313
0.3389.46698954291251.20563851467831
0.3489.7053099672071.2453101984185
0.3589.95010062137221.29239557569176
0.3690.20253523666531.34695652053085
0.3790.46370593548231.40769648967019
0.3890.73444421894781.47228865660436
0.3991.0151788162921.53735559130136
0.491.30586110339621.59963631674794
0.4191.60597883545011.65596474075735
0.4291.91466293973811.70434573667557
0.4392.23087333170021.74420976010082
0.4492.5536325455781.77702071763807
0.4592.88226466759471.8054523964145
0.4693.21659447763521.83359684406092
0.4793.55706846684581.86609944267354
0.4893.90477377207381.90719696476919
0.4994.26134956160381.95985360651042
0.594.6288038433422.02581422486172
0.5195.00926336422582.10460472290269
0.5295.40469294186882.19384302635112
0.5395.81662269647142.28986684731146
0.5496.24591827003372.38799937019165
0.5596.69262218209722.48252107048642
0.5697.1558860333412.56815209211292
0.5797.6340048037262.64004145890623
0.5898.12455653027872.69445576452301
0.5998.62464282679982.72908008041776
0.699.13121717471032.74360952993831
0.6199.64147795553422.73993380411912
0.62100.1532918558472.72246737310894
0.63100.6656017885462.69801796691366
0.64101.1787643288232.67514265270745
0.65101.6947582179932.66382799297982
0.66102.2172111552852.67400335819121
0.67102.7512092392582.71418332504020
0.68103.3028822244442.78936958629928
0.69103.8787954355942.90038445107888
0.7104.4852198361693.04245761398260
0.71105.1273871989813.20660376399614
0.72105.8088589678783.38037642531229
0.73106.5311389153513.55034256634522
0.74107.2936401329523.70372894316924
0.75108.0940831960443.83119408541716
0.76108.9293703258813.92835560273355
0.77109.7969726765623.99798498369497
0.78110.6969075510264.05078288666353
0.79111.6344802697884.10797901015368
0.8112.6241000821414.20443878369034
0.81113.6945702981084.39497549298365
0.82114.8961357664514.76312648703954
0.83116.3090024275035.42979573521371
0.84118.0517786192756.55005125160188
0.85120.2862810679198.28755495523393
0.86123.21288191837610.7640682064472
0.87127.04936499571313.9904135776497
0.88131.98820395491517.7874238116706
0.89138.13424054825421.7273770353712
0.9145.43684045449025.1423612984253
0.91153.64340055441927.2501358820079
0.92162.30566319624627.3993652727309
0.93170.85733439406025.3583283817979
0.94178.75008130905521.4949794534358
0.95185.59985800255716.6991412325115
0.96191.2804933899812.0265330971064
0.97195.9135268734168.27009248799747
0.98199.7180713425065.84833699193395
0.99202.7156835450434.97809873582274

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 80.8676293071806 & 0.192818153697301 \tabularnewline
0.02 & 81.0291925133604 & 0.437710890360995 \tabularnewline
0.03 & 81.3004994400555 & 0.750081970514561 \tabularnewline
0.04 & 81.6765012061745 & 1.03381921460975 \tabularnewline
0.05 & 82.1312651840132 & 1.23233133024575 \tabularnewline
0.06 & 82.6279756045662 & 1.33467400116940 \tabularnewline
0.07 & 83.1311436337592 & 1.35615498122351 \tabularnewline
0.08 & 83.6140590543453 & 1.31936407471129 \tabularnewline
0.09 & 84.060588413835 & 1.24571928688133 \tabularnewline
0.1 & 84.463664544413 & 1.15436946551581 \tabularnewline
0.11 & 84.822715300273 & 1.06145476135430 \tabularnewline
0.12 & 85.141150809517 & 0.977640502492586 \tabularnewline
0.13 & 85.424289183702 & 0.907069455008201 \tabularnewline
0.14 & 85.6778648811883 & 0.848946464837351 \tabularnewline
0.15 & 85.9071857652258 & 0.800516224758 \tabularnewline
0.16 & 86.1168829741536 & 0.760380519724615 \tabularnewline
0.17 & 86.3110570368707 & 0.729608673695317 \tabularnewline
0.18 & 86.4935577338102 & 0.710972904616293 \tabularnewline
0.19 & 86.668179428068 & 0.707211493039679 \tabularnewline
0.2 & 86.8386686117079 & 0.719655167037566 \tabularnewline
0.21 & 87.008558949166 & 0.747091512772179 \tabularnewline
0.22 & 87.1809224972363 & 0.786252274955875 \tabularnewline
0.23 & 87.3581412257721 & 0.832815102183768 \tabularnewline
0.24 & 87.5417753902185 & 0.882550747032003 \tabularnewline
0.25 & 87.7325600513628 & 0.931661085537121 \tabularnewline
0.26 & 87.9305197318345 & 0.977465514412862 \tabularnewline
0.27 & 88.1351654164612 & 1.01854859403295 \tabularnewline
0.28 & 88.3457295633335 & 1.05453188316293 \tabularnewline
0.29 & 88.5613989485176 & 1.08606800760148 \tabularnewline
0.3 & 88.7815153961877 & 1.11469650003027 \tabularnewline
0.31 & 89.0057252076073 & 1.14253968419363 \tabularnewline
0.32 & 89.2340665026873 & 1.17212523480313 \tabularnewline
0.33 & 89.4669895429125 & 1.20563851467831 \tabularnewline
0.34 & 89.705309967207 & 1.2453101984185 \tabularnewline
0.35 & 89.9501006213722 & 1.29239557569176 \tabularnewline
0.36 & 90.2025352366653 & 1.34695652053085 \tabularnewline
0.37 & 90.4637059354823 & 1.40769648967019 \tabularnewline
0.38 & 90.7344442189478 & 1.47228865660436 \tabularnewline
0.39 & 91.015178816292 & 1.53735559130136 \tabularnewline
0.4 & 91.3058611033962 & 1.59963631674794 \tabularnewline
0.41 & 91.6059788354501 & 1.65596474075735 \tabularnewline
0.42 & 91.9146629397381 & 1.70434573667557 \tabularnewline
0.43 & 92.2308733317002 & 1.74420976010082 \tabularnewline
0.44 & 92.553632545578 & 1.77702071763807 \tabularnewline
0.45 & 92.8822646675947 & 1.8054523964145 \tabularnewline
0.46 & 93.2165944776352 & 1.83359684406092 \tabularnewline
0.47 & 93.5570684668458 & 1.86609944267354 \tabularnewline
0.48 & 93.9047737720738 & 1.90719696476919 \tabularnewline
0.49 & 94.2613495616038 & 1.95985360651042 \tabularnewline
0.5 & 94.628803843342 & 2.02581422486172 \tabularnewline
0.51 & 95.0092633642258 & 2.10460472290269 \tabularnewline
0.52 & 95.4046929418688 & 2.19384302635112 \tabularnewline
0.53 & 95.8166226964714 & 2.28986684731146 \tabularnewline
0.54 & 96.2459182700337 & 2.38799937019165 \tabularnewline
0.55 & 96.6926221820972 & 2.48252107048642 \tabularnewline
0.56 & 97.155886033341 & 2.56815209211292 \tabularnewline
0.57 & 97.634004803726 & 2.64004145890623 \tabularnewline
0.58 & 98.1245565302787 & 2.69445576452301 \tabularnewline
0.59 & 98.6246428267998 & 2.72908008041776 \tabularnewline
0.6 & 99.1312171747103 & 2.74360952993831 \tabularnewline
0.61 & 99.6414779555342 & 2.73993380411912 \tabularnewline
0.62 & 100.153291855847 & 2.72246737310894 \tabularnewline
0.63 & 100.665601788546 & 2.69801796691366 \tabularnewline
0.64 & 101.178764328823 & 2.67514265270745 \tabularnewline
0.65 & 101.694758217993 & 2.66382799297982 \tabularnewline
0.66 & 102.217211155285 & 2.67400335819121 \tabularnewline
0.67 & 102.751209239258 & 2.71418332504020 \tabularnewline
0.68 & 103.302882224444 & 2.78936958629928 \tabularnewline
0.69 & 103.878795435594 & 2.90038445107888 \tabularnewline
0.7 & 104.485219836169 & 3.04245761398260 \tabularnewline
0.71 & 105.127387198981 & 3.20660376399614 \tabularnewline
0.72 & 105.808858967878 & 3.38037642531229 \tabularnewline
0.73 & 106.531138915351 & 3.55034256634522 \tabularnewline
0.74 & 107.293640132952 & 3.70372894316924 \tabularnewline
0.75 & 108.094083196044 & 3.83119408541716 \tabularnewline
0.76 & 108.929370325881 & 3.92835560273355 \tabularnewline
0.77 & 109.796972676562 & 3.99798498369497 \tabularnewline
0.78 & 110.696907551026 & 4.05078288666353 \tabularnewline
0.79 & 111.634480269788 & 4.10797901015368 \tabularnewline
0.8 & 112.624100082141 & 4.20443878369034 \tabularnewline
0.81 & 113.694570298108 & 4.39497549298365 \tabularnewline
0.82 & 114.896135766451 & 4.76312648703954 \tabularnewline
0.83 & 116.309002427503 & 5.42979573521371 \tabularnewline
0.84 & 118.051778619275 & 6.55005125160188 \tabularnewline
0.85 & 120.286281067919 & 8.28755495523393 \tabularnewline
0.86 & 123.212881918376 & 10.7640682064472 \tabularnewline
0.87 & 127.049364995713 & 13.9904135776497 \tabularnewline
0.88 & 131.988203954915 & 17.7874238116706 \tabularnewline
0.89 & 138.134240548254 & 21.7273770353712 \tabularnewline
0.9 & 145.436840454490 & 25.1423612984253 \tabularnewline
0.91 & 153.643400554419 & 27.2501358820079 \tabularnewline
0.92 & 162.305663196246 & 27.3993652727309 \tabularnewline
0.93 & 170.857334394060 & 25.3583283817979 \tabularnewline
0.94 & 178.750081309055 & 21.4949794534358 \tabularnewline
0.95 & 185.599858002557 & 16.6991412325115 \tabularnewline
0.96 & 191.28049338998 & 12.0265330971064 \tabularnewline
0.97 & 195.913526873416 & 8.27009248799747 \tabularnewline
0.98 & 199.718071342506 & 5.84833699193395 \tabularnewline
0.99 & 202.715683545043 & 4.97809873582274 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82690&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]80.8676293071806[/C][C]0.192818153697301[/C][/ROW]
[ROW][C]0.02[/C][C]81.0291925133604[/C][C]0.437710890360995[/C][/ROW]
[ROW][C]0.03[/C][C]81.3004994400555[/C][C]0.750081970514561[/C][/ROW]
[ROW][C]0.04[/C][C]81.6765012061745[/C][C]1.03381921460975[/C][/ROW]
[ROW][C]0.05[/C][C]82.1312651840132[/C][C]1.23233133024575[/C][/ROW]
[ROW][C]0.06[/C][C]82.6279756045662[/C][C]1.33467400116940[/C][/ROW]
[ROW][C]0.07[/C][C]83.1311436337592[/C][C]1.35615498122351[/C][/ROW]
[ROW][C]0.08[/C][C]83.6140590543453[/C][C]1.31936407471129[/C][/ROW]
[ROW][C]0.09[/C][C]84.060588413835[/C][C]1.24571928688133[/C][/ROW]
[ROW][C]0.1[/C][C]84.463664544413[/C][C]1.15436946551581[/C][/ROW]
[ROW][C]0.11[/C][C]84.822715300273[/C][C]1.06145476135430[/C][/ROW]
[ROW][C]0.12[/C][C]85.141150809517[/C][C]0.977640502492586[/C][/ROW]
[ROW][C]0.13[/C][C]85.424289183702[/C][C]0.907069455008201[/C][/ROW]
[ROW][C]0.14[/C][C]85.6778648811883[/C][C]0.848946464837351[/C][/ROW]
[ROW][C]0.15[/C][C]85.9071857652258[/C][C]0.800516224758[/C][/ROW]
[ROW][C]0.16[/C][C]86.1168829741536[/C][C]0.760380519724615[/C][/ROW]
[ROW][C]0.17[/C][C]86.3110570368707[/C][C]0.729608673695317[/C][/ROW]
[ROW][C]0.18[/C][C]86.4935577338102[/C][C]0.710972904616293[/C][/ROW]
[ROW][C]0.19[/C][C]86.668179428068[/C][C]0.707211493039679[/C][/ROW]
[ROW][C]0.2[/C][C]86.8386686117079[/C][C]0.719655167037566[/C][/ROW]
[ROW][C]0.21[/C][C]87.008558949166[/C][C]0.747091512772179[/C][/ROW]
[ROW][C]0.22[/C][C]87.1809224972363[/C][C]0.786252274955875[/C][/ROW]
[ROW][C]0.23[/C][C]87.3581412257721[/C][C]0.832815102183768[/C][/ROW]
[ROW][C]0.24[/C][C]87.5417753902185[/C][C]0.882550747032003[/C][/ROW]
[ROW][C]0.25[/C][C]87.7325600513628[/C][C]0.931661085537121[/C][/ROW]
[ROW][C]0.26[/C][C]87.9305197318345[/C][C]0.977465514412862[/C][/ROW]
[ROW][C]0.27[/C][C]88.1351654164612[/C][C]1.01854859403295[/C][/ROW]
[ROW][C]0.28[/C][C]88.3457295633335[/C][C]1.05453188316293[/C][/ROW]
[ROW][C]0.29[/C][C]88.5613989485176[/C][C]1.08606800760148[/C][/ROW]
[ROW][C]0.3[/C][C]88.7815153961877[/C][C]1.11469650003027[/C][/ROW]
[ROW][C]0.31[/C][C]89.0057252076073[/C][C]1.14253968419363[/C][/ROW]
[ROW][C]0.32[/C][C]89.2340665026873[/C][C]1.17212523480313[/C][/ROW]
[ROW][C]0.33[/C][C]89.4669895429125[/C][C]1.20563851467831[/C][/ROW]
[ROW][C]0.34[/C][C]89.705309967207[/C][C]1.2453101984185[/C][/ROW]
[ROW][C]0.35[/C][C]89.9501006213722[/C][C]1.29239557569176[/C][/ROW]
[ROW][C]0.36[/C][C]90.2025352366653[/C][C]1.34695652053085[/C][/ROW]
[ROW][C]0.37[/C][C]90.4637059354823[/C][C]1.40769648967019[/C][/ROW]
[ROW][C]0.38[/C][C]90.7344442189478[/C][C]1.47228865660436[/C][/ROW]
[ROW][C]0.39[/C][C]91.015178816292[/C][C]1.53735559130136[/C][/ROW]
[ROW][C]0.4[/C][C]91.3058611033962[/C][C]1.59963631674794[/C][/ROW]
[ROW][C]0.41[/C][C]91.6059788354501[/C][C]1.65596474075735[/C][/ROW]
[ROW][C]0.42[/C][C]91.9146629397381[/C][C]1.70434573667557[/C][/ROW]
[ROW][C]0.43[/C][C]92.2308733317002[/C][C]1.74420976010082[/C][/ROW]
[ROW][C]0.44[/C][C]92.553632545578[/C][C]1.77702071763807[/C][/ROW]
[ROW][C]0.45[/C][C]92.8822646675947[/C][C]1.8054523964145[/C][/ROW]
[ROW][C]0.46[/C][C]93.2165944776352[/C][C]1.83359684406092[/C][/ROW]
[ROW][C]0.47[/C][C]93.5570684668458[/C][C]1.86609944267354[/C][/ROW]
[ROW][C]0.48[/C][C]93.9047737720738[/C][C]1.90719696476919[/C][/ROW]
[ROW][C]0.49[/C][C]94.2613495616038[/C][C]1.95985360651042[/C][/ROW]
[ROW][C]0.5[/C][C]94.628803843342[/C][C]2.02581422486172[/C][/ROW]
[ROW][C]0.51[/C][C]95.0092633642258[/C][C]2.10460472290269[/C][/ROW]
[ROW][C]0.52[/C][C]95.4046929418688[/C][C]2.19384302635112[/C][/ROW]
[ROW][C]0.53[/C][C]95.8166226964714[/C][C]2.28986684731146[/C][/ROW]
[ROW][C]0.54[/C][C]96.2459182700337[/C][C]2.38799937019165[/C][/ROW]
[ROW][C]0.55[/C][C]96.6926221820972[/C][C]2.48252107048642[/C][/ROW]
[ROW][C]0.56[/C][C]97.155886033341[/C][C]2.56815209211292[/C][/ROW]
[ROW][C]0.57[/C][C]97.634004803726[/C][C]2.64004145890623[/C][/ROW]
[ROW][C]0.58[/C][C]98.1245565302787[/C][C]2.69445576452301[/C][/ROW]
[ROW][C]0.59[/C][C]98.6246428267998[/C][C]2.72908008041776[/C][/ROW]
[ROW][C]0.6[/C][C]99.1312171747103[/C][C]2.74360952993831[/C][/ROW]
[ROW][C]0.61[/C][C]99.6414779555342[/C][C]2.73993380411912[/C][/ROW]
[ROW][C]0.62[/C][C]100.153291855847[/C][C]2.72246737310894[/C][/ROW]
[ROW][C]0.63[/C][C]100.665601788546[/C][C]2.69801796691366[/C][/ROW]
[ROW][C]0.64[/C][C]101.178764328823[/C][C]2.67514265270745[/C][/ROW]
[ROW][C]0.65[/C][C]101.694758217993[/C][C]2.66382799297982[/C][/ROW]
[ROW][C]0.66[/C][C]102.217211155285[/C][C]2.67400335819121[/C][/ROW]
[ROW][C]0.67[/C][C]102.751209239258[/C][C]2.71418332504020[/C][/ROW]
[ROW][C]0.68[/C][C]103.302882224444[/C][C]2.78936958629928[/C][/ROW]
[ROW][C]0.69[/C][C]103.878795435594[/C][C]2.90038445107888[/C][/ROW]
[ROW][C]0.7[/C][C]104.485219836169[/C][C]3.04245761398260[/C][/ROW]
[ROW][C]0.71[/C][C]105.127387198981[/C][C]3.20660376399614[/C][/ROW]
[ROW][C]0.72[/C][C]105.808858967878[/C][C]3.38037642531229[/C][/ROW]
[ROW][C]0.73[/C][C]106.531138915351[/C][C]3.55034256634522[/C][/ROW]
[ROW][C]0.74[/C][C]107.293640132952[/C][C]3.70372894316924[/C][/ROW]
[ROW][C]0.75[/C][C]108.094083196044[/C][C]3.83119408541716[/C][/ROW]
[ROW][C]0.76[/C][C]108.929370325881[/C][C]3.92835560273355[/C][/ROW]
[ROW][C]0.77[/C][C]109.796972676562[/C][C]3.99798498369497[/C][/ROW]
[ROW][C]0.78[/C][C]110.696907551026[/C][C]4.05078288666353[/C][/ROW]
[ROW][C]0.79[/C][C]111.634480269788[/C][C]4.10797901015368[/C][/ROW]
[ROW][C]0.8[/C][C]112.624100082141[/C][C]4.20443878369034[/C][/ROW]
[ROW][C]0.81[/C][C]113.694570298108[/C][C]4.39497549298365[/C][/ROW]
[ROW][C]0.82[/C][C]114.896135766451[/C][C]4.76312648703954[/C][/ROW]
[ROW][C]0.83[/C][C]116.309002427503[/C][C]5.42979573521371[/C][/ROW]
[ROW][C]0.84[/C][C]118.051778619275[/C][C]6.55005125160188[/C][/ROW]
[ROW][C]0.85[/C][C]120.286281067919[/C][C]8.28755495523393[/C][/ROW]
[ROW][C]0.86[/C][C]123.212881918376[/C][C]10.7640682064472[/C][/ROW]
[ROW][C]0.87[/C][C]127.049364995713[/C][C]13.9904135776497[/C][/ROW]
[ROW][C]0.88[/C][C]131.988203954915[/C][C]17.7874238116706[/C][/ROW]
[ROW][C]0.89[/C][C]138.134240548254[/C][C]21.7273770353712[/C][/ROW]
[ROW][C]0.9[/C][C]145.436840454490[/C][C]25.1423612984253[/C][/ROW]
[ROW][C]0.91[/C][C]153.643400554419[/C][C]27.2501358820079[/C][/ROW]
[ROW][C]0.92[/C][C]162.305663196246[/C][C]27.3993652727309[/C][/ROW]
[ROW][C]0.93[/C][C]170.857334394060[/C][C]25.3583283817979[/C][/ROW]
[ROW][C]0.94[/C][C]178.750081309055[/C][C]21.4949794534358[/C][/ROW]
[ROW][C]0.95[/C][C]185.599858002557[/C][C]16.6991412325115[/C][/ROW]
[ROW][C]0.96[/C][C]191.28049338998[/C][C]12.0265330971064[/C][/ROW]
[ROW][C]0.97[/C][C]195.913526873416[/C][C]8.27009248799747[/C][/ROW]
[ROW][C]0.98[/C][C]199.718071342506[/C][C]5.84833699193395[/C][/ROW]
[ROW][C]0.99[/C][C]202.715683545043[/C][C]4.97809873582274[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82690&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82690&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0180.86762930718060.192818153697301
0.0281.02919251336040.437710890360995
0.0381.30049944005550.750081970514561
0.0481.67650120617451.03381921460975
0.0582.13126518401321.23233133024575
0.0682.62797560456621.33467400116940
0.0783.13114363375921.35615498122351
0.0883.61405905434531.31936407471129
0.0984.0605884138351.24571928688133
0.184.4636645444131.15436946551581
0.1184.8227153002731.06145476135430
0.1285.1411508095170.977640502492586
0.1385.4242891837020.907069455008201
0.1485.67786488118830.848946464837351
0.1585.90718576522580.800516224758
0.1686.11688297415360.760380519724615
0.1786.31105703687070.729608673695317
0.1886.49355773381020.710972904616293
0.1986.6681794280680.707211493039679
0.286.83866861170790.719655167037566
0.2187.0085589491660.747091512772179
0.2287.18092249723630.786252274955875
0.2387.35814122577210.832815102183768
0.2487.54177539021850.882550747032003
0.2587.73256005136280.931661085537121
0.2687.93051973183450.977465514412862
0.2788.13516541646121.01854859403295
0.2888.34572956333351.05453188316293
0.2988.56139894851761.08606800760148
0.388.78151539618771.11469650003027
0.3189.00572520760731.14253968419363
0.3289.23406650268731.17212523480313
0.3389.46698954291251.20563851467831
0.3489.7053099672071.2453101984185
0.3589.95010062137221.29239557569176
0.3690.20253523666531.34695652053085
0.3790.46370593548231.40769648967019
0.3890.73444421894781.47228865660436
0.3991.0151788162921.53735559130136
0.491.30586110339621.59963631674794
0.4191.60597883545011.65596474075735
0.4291.91466293973811.70434573667557
0.4392.23087333170021.74420976010082
0.4492.5536325455781.77702071763807
0.4592.88226466759471.8054523964145
0.4693.21659447763521.83359684406092
0.4793.55706846684581.86609944267354
0.4893.90477377207381.90719696476919
0.4994.26134956160381.95985360651042
0.594.6288038433422.02581422486172
0.5195.00926336422582.10460472290269
0.5295.40469294186882.19384302635112
0.5395.81662269647142.28986684731146
0.5496.24591827003372.38799937019165
0.5596.69262218209722.48252107048642
0.5697.1558860333412.56815209211292
0.5797.6340048037262.64004145890623
0.5898.12455653027872.69445576452301
0.5998.62464282679982.72908008041776
0.699.13121717471032.74360952993831
0.6199.64147795553422.73993380411912
0.62100.1532918558472.72246737310894
0.63100.6656017885462.69801796691366
0.64101.1787643288232.67514265270745
0.65101.6947582179932.66382799297982
0.66102.2172111552852.67400335819121
0.67102.7512092392582.71418332504020
0.68103.3028822244442.78936958629928
0.69103.8787954355942.90038445107888
0.7104.4852198361693.04245761398260
0.71105.1273871989813.20660376399614
0.72105.8088589678783.38037642531229
0.73106.5311389153513.55034256634522
0.74107.2936401329523.70372894316924
0.75108.0940831960443.83119408541716
0.76108.9293703258813.92835560273355
0.77109.7969726765623.99798498369497
0.78110.6969075510264.05078288666353
0.79111.6344802697884.10797901015368
0.8112.6241000821414.20443878369034
0.81113.6945702981084.39497549298365
0.82114.8961357664514.76312648703954
0.83116.3090024275035.42979573521371
0.84118.0517786192756.55005125160188
0.85120.2862810679198.28755495523393
0.86123.21288191837610.7640682064472
0.87127.04936499571313.9904135776497
0.88131.98820395491517.7874238116706
0.89138.13424054825421.7273770353712
0.9145.43684045449025.1423612984253
0.91153.64340055441927.2501358820079
0.92162.30566319624627.3993652727309
0.93170.85733439406025.3583283817979
0.94178.75008130905521.4949794534358
0.95185.59985800255716.6991412325115
0.96191.2804933899812.0265330971064
0.97195.9135268734168.27009248799747
0.98199.7180713425065.84833699193395
0.99202.7156835450434.97809873582274


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')