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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, 03 Oct 2016 20:25:44 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/03/t1475522775ptdcel1g11pjdqo.htm/, Retrieved Sat, 04 May 2024 04:17:56 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 04:17:56 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
134.93
134.37
132.98
130.1
128.24
127.52
126.94
127.38
130.95
128.65
127.37
127.04
125.95
124.06
121.55
119.82
119.19
118.77
118.31
119.47
119.79
117.46
115.74
114.97
112.83
111.44
110.6
109.67
107.96
107.56
116.12
114.38
113.96
113.95
114.99
113.64
112.53
110.59
110.1
109.38
110.43
114.67
114.48
114.76
113.27
111.56
109.89
108.04
107.53
106.11
104.11
103
104.74
104.14
101.98
100.91
100.02
98.49
97.38
95.86
93.99
94.09
93.44
93.61
98.31
103.97
104.12
107.63
105.22
104.59
101.54
99.47

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0193.5346777193270.260525837359649
0.0293.73648453433130.494623881227606
0.0394.05422491771060.841857545813855
0.0494.49267578704121.23377967669051
0.0595.04244551949381.58180359347603
0.0695.67517710537711.81885928626136
0.0796.35086899858351.92777716801122
0.0897.03070996473131.93653617797923
0.0997.68704093439071.89404084379202
0.198.30657468642661.84422694540012
0.1198.88782779235881.811769384153
0.1299.43594022717351.80108441522841
0.1399.95776074017581.80417262478796
0.14100.4586689765851.80827293713846
0.15100.9413135583731.80266460377016
0.16101.4057614106421.78002331398128
0.17101.8504093939581.73798513505604
0.18102.2731393441481.67819675125735
0.19102.6723832890471.60660900575745
0.2103.0479084931161.53239744840424
0.21103.4012244783221.4661210091354
0.22103.7355830364911.41782368679402
0.23104.0556080185891.39501472418441
0.24104.3666548954891.40026970942184
0.25104.674047025711.43089645832845
0.26104.9823511768571.47990584188826
0.27105.294833038541.53767584199703
0.28105.6131806115351.5949079625723
0.29105.9375154073071.64385241194955
0.3106.2666475065241.67889768109836
0.31106.5984865581421.69790471521301
0.32106.9305049255991.70089535977981
0.33107.2601606374091.68988652897339
0.34107.5852184868761.66787417815848
0.35107.9039456307271.63842531859266
0.36108.2151916539721.6046030615784
0.37108.5183841473191.56897649894335
0.38108.8134765485661.53386449153804
0.39109.1008776980021.50100837880237
0.4109.3813781412971.47243298017137
0.41109.6560736079571.44973943827151
0.42109.9262768694891.43447849272472
0.43110.1934080025721.42727141945559
0.44110.4588593477081.42824452783715
0.45110.7238420379571.43548353830013
0.46110.9892316370751.44687999260107
0.47111.2554373346881.45875894479228
0.48111.5223199970371.46757346388797
0.49111.7891788792141.46972258788583
0.5112.0548165019081.46208695221707
0.51112.3176787451151.44336231698554
0.52112.5760555078741.41301371641447
0.53112.8283186389611.37176041035654
0.54113.0731694686021.32256973088554
0.55113.3098681522511.26930708197343
0.56113.5384201921211.21651292295248
0.57113.7597004958241.16967650288405
0.58113.9755008742131.13441780215824
0.59114.1884923141141.11606428694937
0.6114.4020988728491.11915982942171
0.61114.6202865157551.14639725299716
0.62114.8472787463041.19831723325034
0.63115.0872220451431.27307577185748
0.64115.3438373014341.36646527009229
0.65115.6201062726511.47252010622942
0.66115.9180507013631.58383352280464
0.67116.2386611591821.69379300948416
0.68116.5820184548391.79659103683595
0.69116.9476201023361.88885356219705
0.7117.3348793008491.97054947721291
0.71117.7437106150522.04554627894764
0.72118.1750667893412.12140271182867
0.73118.6312604298792.20767792492781
0.74119.1159087508612.31331842927554
0.75119.6333909667762.44340837790941
0.76120.1878079822742.59580159894811
0.77120.7815698287532.75922814897262
0.78121.4138786388422.91442514132653
0.79122.0794823107733.03642615205419
0.8122.7681027427453.09958780933343
0.81123.4648618799933.08296331081186
0.82124.1518363737532.97557879304222
0.83124.8106023336892.77958705682648
0.84125.42535437552.51192240940162
0.85125.9859826855962.20202404173503
0.86126.4904401975491.8877318446955
0.87126.9458601129971.60981747447803
0.88127.36816572781.40557451751431
0.89127.7802698395521.30124938970506
0.9128.2092740275981.30302856781146
0.91128.6832179985631.39401346029021
0.92129.2277748370971.54376747025208
0.93129.8627929318391.71798100456129
0.94130.5979387791841.87994859989212
0.95131.4265222481881.98377922467194
0.96132.31779343371.96807547484174
0.97133.2106595324261.7665930330399
0.98134.0138305737981.35696121562114
0.99134.6177323692320.854994768001204

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 93.534677719327 & 0.260525837359649 \tabularnewline
0.02 & 93.7364845343313 & 0.494623881227606 \tabularnewline
0.03 & 94.0542249177106 & 0.841857545813855 \tabularnewline
0.04 & 94.4926757870412 & 1.23377967669051 \tabularnewline
0.05 & 95.0424455194938 & 1.58180359347603 \tabularnewline
0.06 & 95.6751771053771 & 1.81885928626136 \tabularnewline
0.07 & 96.3508689985835 & 1.92777716801122 \tabularnewline
0.08 & 97.0307099647313 & 1.93653617797923 \tabularnewline
0.09 & 97.6870409343907 & 1.89404084379202 \tabularnewline
0.1 & 98.3065746864266 & 1.84422694540012 \tabularnewline
0.11 & 98.8878277923588 & 1.811769384153 \tabularnewline
0.12 & 99.4359402271735 & 1.80108441522841 \tabularnewline
0.13 & 99.9577607401758 & 1.80417262478796 \tabularnewline
0.14 & 100.458668976585 & 1.80827293713846 \tabularnewline
0.15 & 100.941313558373 & 1.80266460377016 \tabularnewline
0.16 & 101.405761410642 & 1.78002331398128 \tabularnewline
0.17 & 101.850409393958 & 1.73798513505604 \tabularnewline
0.18 & 102.273139344148 & 1.67819675125735 \tabularnewline
0.19 & 102.672383289047 & 1.60660900575745 \tabularnewline
0.2 & 103.047908493116 & 1.53239744840424 \tabularnewline
0.21 & 103.401224478322 & 1.4661210091354 \tabularnewline
0.22 & 103.735583036491 & 1.41782368679402 \tabularnewline
0.23 & 104.055608018589 & 1.39501472418441 \tabularnewline
0.24 & 104.366654895489 & 1.40026970942184 \tabularnewline
0.25 & 104.67404702571 & 1.43089645832845 \tabularnewline
0.26 & 104.982351176857 & 1.47990584188826 \tabularnewline
0.27 & 105.29483303854 & 1.53767584199703 \tabularnewline
0.28 & 105.613180611535 & 1.5949079625723 \tabularnewline
0.29 & 105.937515407307 & 1.64385241194955 \tabularnewline
0.3 & 106.266647506524 & 1.67889768109836 \tabularnewline
0.31 & 106.598486558142 & 1.69790471521301 \tabularnewline
0.32 & 106.930504925599 & 1.70089535977981 \tabularnewline
0.33 & 107.260160637409 & 1.68988652897339 \tabularnewline
0.34 & 107.585218486876 & 1.66787417815848 \tabularnewline
0.35 & 107.903945630727 & 1.63842531859266 \tabularnewline
0.36 & 108.215191653972 & 1.6046030615784 \tabularnewline
0.37 & 108.518384147319 & 1.56897649894335 \tabularnewline
0.38 & 108.813476548566 & 1.53386449153804 \tabularnewline
0.39 & 109.100877698002 & 1.50100837880237 \tabularnewline
0.4 & 109.381378141297 & 1.47243298017137 \tabularnewline
0.41 & 109.656073607957 & 1.44973943827151 \tabularnewline
0.42 & 109.926276869489 & 1.43447849272472 \tabularnewline
0.43 & 110.193408002572 & 1.42727141945559 \tabularnewline
0.44 & 110.458859347708 & 1.42824452783715 \tabularnewline
0.45 & 110.723842037957 & 1.43548353830013 \tabularnewline
0.46 & 110.989231637075 & 1.44687999260107 \tabularnewline
0.47 & 111.255437334688 & 1.45875894479228 \tabularnewline
0.48 & 111.522319997037 & 1.46757346388797 \tabularnewline
0.49 & 111.789178879214 & 1.46972258788583 \tabularnewline
0.5 & 112.054816501908 & 1.46208695221707 \tabularnewline
0.51 & 112.317678745115 & 1.44336231698554 \tabularnewline
0.52 & 112.576055507874 & 1.41301371641447 \tabularnewline
0.53 & 112.828318638961 & 1.37176041035654 \tabularnewline
0.54 & 113.073169468602 & 1.32256973088554 \tabularnewline
0.55 & 113.309868152251 & 1.26930708197343 \tabularnewline
0.56 & 113.538420192121 & 1.21651292295248 \tabularnewline
0.57 & 113.759700495824 & 1.16967650288405 \tabularnewline
0.58 & 113.975500874213 & 1.13441780215824 \tabularnewline
0.59 & 114.188492314114 & 1.11606428694937 \tabularnewline
0.6 & 114.402098872849 & 1.11915982942171 \tabularnewline
0.61 & 114.620286515755 & 1.14639725299716 \tabularnewline
0.62 & 114.847278746304 & 1.19831723325034 \tabularnewline
0.63 & 115.087222045143 & 1.27307577185748 \tabularnewline
0.64 & 115.343837301434 & 1.36646527009229 \tabularnewline
0.65 & 115.620106272651 & 1.47252010622942 \tabularnewline
0.66 & 115.918050701363 & 1.58383352280464 \tabularnewline
0.67 & 116.238661159182 & 1.69379300948416 \tabularnewline
0.68 & 116.582018454839 & 1.79659103683595 \tabularnewline
0.69 & 116.947620102336 & 1.88885356219705 \tabularnewline
0.7 & 117.334879300849 & 1.97054947721291 \tabularnewline
0.71 & 117.743710615052 & 2.04554627894764 \tabularnewline
0.72 & 118.175066789341 & 2.12140271182867 \tabularnewline
0.73 & 118.631260429879 & 2.20767792492781 \tabularnewline
0.74 & 119.115908750861 & 2.31331842927554 \tabularnewline
0.75 & 119.633390966776 & 2.44340837790941 \tabularnewline
0.76 & 120.187807982274 & 2.59580159894811 \tabularnewline
0.77 & 120.781569828753 & 2.75922814897262 \tabularnewline
0.78 & 121.413878638842 & 2.91442514132653 \tabularnewline
0.79 & 122.079482310773 & 3.03642615205419 \tabularnewline
0.8 & 122.768102742745 & 3.09958780933343 \tabularnewline
0.81 & 123.464861879993 & 3.08296331081186 \tabularnewline
0.82 & 124.151836373753 & 2.97557879304222 \tabularnewline
0.83 & 124.810602333689 & 2.77958705682648 \tabularnewline
0.84 & 125.4253543755 & 2.51192240940162 \tabularnewline
0.85 & 125.985982685596 & 2.20202404173503 \tabularnewline
0.86 & 126.490440197549 & 1.8877318446955 \tabularnewline
0.87 & 126.945860112997 & 1.60981747447803 \tabularnewline
0.88 & 127.3681657278 & 1.40557451751431 \tabularnewline
0.89 & 127.780269839552 & 1.30124938970506 \tabularnewline
0.9 & 128.209274027598 & 1.30302856781146 \tabularnewline
0.91 & 128.683217998563 & 1.39401346029021 \tabularnewline
0.92 & 129.227774837097 & 1.54376747025208 \tabularnewline
0.93 & 129.862792931839 & 1.71798100456129 \tabularnewline
0.94 & 130.597938779184 & 1.87994859989212 \tabularnewline
0.95 & 131.426522248188 & 1.98377922467194 \tabularnewline
0.96 & 132.3177934337 & 1.96807547484174 \tabularnewline
0.97 & 133.210659532426 & 1.7665930330399 \tabularnewline
0.98 & 134.013830573798 & 1.35696121562114 \tabularnewline
0.99 & 134.617732369232 & 0.854994768001204 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]93.534677719327[/C][C]0.260525837359649[/C][/ROW]
[ROW][C]0.02[/C][C]93.7364845343313[/C][C]0.494623881227606[/C][/ROW]
[ROW][C]0.03[/C][C]94.0542249177106[/C][C]0.841857545813855[/C][/ROW]
[ROW][C]0.04[/C][C]94.4926757870412[/C][C]1.23377967669051[/C][/ROW]
[ROW][C]0.05[/C][C]95.0424455194938[/C][C]1.58180359347603[/C][/ROW]
[ROW][C]0.06[/C][C]95.6751771053771[/C][C]1.81885928626136[/C][/ROW]
[ROW][C]0.07[/C][C]96.3508689985835[/C][C]1.92777716801122[/C][/ROW]
[ROW][C]0.08[/C][C]97.0307099647313[/C][C]1.93653617797923[/C][/ROW]
[ROW][C]0.09[/C][C]97.6870409343907[/C][C]1.89404084379202[/C][/ROW]
[ROW][C]0.1[/C][C]98.3065746864266[/C][C]1.84422694540012[/C][/ROW]
[ROW][C]0.11[/C][C]98.8878277923588[/C][C]1.811769384153[/C][/ROW]
[ROW][C]0.12[/C][C]99.4359402271735[/C][C]1.80108441522841[/C][/ROW]
[ROW][C]0.13[/C][C]99.9577607401758[/C][C]1.80417262478796[/C][/ROW]
[ROW][C]0.14[/C][C]100.458668976585[/C][C]1.80827293713846[/C][/ROW]
[ROW][C]0.15[/C][C]100.941313558373[/C][C]1.80266460377016[/C][/ROW]
[ROW][C]0.16[/C][C]101.405761410642[/C][C]1.78002331398128[/C][/ROW]
[ROW][C]0.17[/C][C]101.850409393958[/C][C]1.73798513505604[/C][/ROW]
[ROW][C]0.18[/C][C]102.273139344148[/C][C]1.67819675125735[/C][/ROW]
[ROW][C]0.19[/C][C]102.672383289047[/C][C]1.60660900575745[/C][/ROW]
[ROW][C]0.2[/C][C]103.047908493116[/C][C]1.53239744840424[/C][/ROW]
[ROW][C]0.21[/C][C]103.401224478322[/C][C]1.4661210091354[/C][/ROW]
[ROW][C]0.22[/C][C]103.735583036491[/C][C]1.41782368679402[/C][/ROW]
[ROW][C]0.23[/C][C]104.055608018589[/C][C]1.39501472418441[/C][/ROW]
[ROW][C]0.24[/C][C]104.366654895489[/C][C]1.40026970942184[/C][/ROW]
[ROW][C]0.25[/C][C]104.67404702571[/C][C]1.43089645832845[/C][/ROW]
[ROW][C]0.26[/C][C]104.982351176857[/C][C]1.47990584188826[/C][/ROW]
[ROW][C]0.27[/C][C]105.29483303854[/C][C]1.53767584199703[/C][/ROW]
[ROW][C]0.28[/C][C]105.613180611535[/C][C]1.5949079625723[/C][/ROW]
[ROW][C]0.29[/C][C]105.937515407307[/C][C]1.64385241194955[/C][/ROW]
[ROW][C]0.3[/C][C]106.266647506524[/C][C]1.67889768109836[/C][/ROW]
[ROW][C]0.31[/C][C]106.598486558142[/C][C]1.69790471521301[/C][/ROW]
[ROW][C]0.32[/C][C]106.930504925599[/C][C]1.70089535977981[/C][/ROW]
[ROW][C]0.33[/C][C]107.260160637409[/C][C]1.68988652897339[/C][/ROW]
[ROW][C]0.34[/C][C]107.585218486876[/C][C]1.66787417815848[/C][/ROW]
[ROW][C]0.35[/C][C]107.903945630727[/C][C]1.63842531859266[/C][/ROW]
[ROW][C]0.36[/C][C]108.215191653972[/C][C]1.6046030615784[/C][/ROW]
[ROW][C]0.37[/C][C]108.518384147319[/C][C]1.56897649894335[/C][/ROW]
[ROW][C]0.38[/C][C]108.813476548566[/C][C]1.53386449153804[/C][/ROW]
[ROW][C]0.39[/C][C]109.100877698002[/C][C]1.50100837880237[/C][/ROW]
[ROW][C]0.4[/C][C]109.381378141297[/C][C]1.47243298017137[/C][/ROW]
[ROW][C]0.41[/C][C]109.656073607957[/C][C]1.44973943827151[/C][/ROW]
[ROW][C]0.42[/C][C]109.926276869489[/C][C]1.43447849272472[/C][/ROW]
[ROW][C]0.43[/C][C]110.193408002572[/C][C]1.42727141945559[/C][/ROW]
[ROW][C]0.44[/C][C]110.458859347708[/C][C]1.42824452783715[/C][/ROW]
[ROW][C]0.45[/C][C]110.723842037957[/C][C]1.43548353830013[/C][/ROW]
[ROW][C]0.46[/C][C]110.989231637075[/C][C]1.44687999260107[/C][/ROW]
[ROW][C]0.47[/C][C]111.255437334688[/C][C]1.45875894479228[/C][/ROW]
[ROW][C]0.48[/C][C]111.522319997037[/C][C]1.46757346388797[/C][/ROW]
[ROW][C]0.49[/C][C]111.789178879214[/C][C]1.46972258788583[/C][/ROW]
[ROW][C]0.5[/C][C]112.054816501908[/C][C]1.46208695221707[/C][/ROW]
[ROW][C]0.51[/C][C]112.317678745115[/C][C]1.44336231698554[/C][/ROW]
[ROW][C]0.52[/C][C]112.576055507874[/C][C]1.41301371641447[/C][/ROW]
[ROW][C]0.53[/C][C]112.828318638961[/C][C]1.37176041035654[/C][/ROW]
[ROW][C]0.54[/C][C]113.073169468602[/C][C]1.32256973088554[/C][/ROW]
[ROW][C]0.55[/C][C]113.309868152251[/C][C]1.26930708197343[/C][/ROW]
[ROW][C]0.56[/C][C]113.538420192121[/C][C]1.21651292295248[/C][/ROW]
[ROW][C]0.57[/C][C]113.759700495824[/C][C]1.16967650288405[/C][/ROW]
[ROW][C]0.58[/C][C]113.975500874213[/C][C]1.13441780215824[/C][/ROW]
[ROW][C]0.59[/C][C]114.188492314114[/C][C]1.11606428694937[/C][/ROW]
[ROW][C]0.6[/C][C]114.402098872849[/C][C]1.11915982942171[/C][/ROW]
[ROW][C]0.61[/C][C]114.620286515755[/C][C]1.14639725299716[/C][/ROW]
[ROW][C]0.62[/C][C]114.847278746304[/C][C]1.19831723325034[/C][/ROW]
[ROW][C]0.63[/C][C]115.087222045143[/C][C]1.27307577185748[/C][/ROW]
[ROW][C]0.64[/C][C]115.343837301434[/C][C]1.36646527009229[/C][/ROW]
[ROW][C]0.65[/C][C]115.620106272651[/C][C]1.47252010622942[/C][/ROW]
[ROW][C]0.66[/C][C]115.918050701363[/C][C]1.58383352280464[/C][/ROW]
[ROW][C]0.67[/C][C]116.238661159182[/C][C]1.69379300948416[/C][/ROW]
[ROW][C]0.68[/C][C]116.582018454839[/C][C]1.79659103683595[/C][/ROW]
[ROW][C]0.69[/C][C]116.947620102336[/C][C]1.88885356219705[/C][/ROW]
[ROW][C]0.7[/C][C]117.334879300849[/C][C]1.97054947721291[/C][/ROW]
[ROW][C]0.71[/C][C]117.743710615052[/C][C]2.04554627894764[/C][/ROW]
[ROW][C]0.72[/C][C]118.175066789341[/C][C]2.12140271182867[/C][/ROW]
[ROW][C]0.73[/C][C]118.631260429879[/C][C]2.20767792492781[/C][/ROW]
[ROW][C]0.74[/C][C]119.115908750861[/C][C]2.31331842927554[/C][/ROW]
[ROW][C]0.75[/C][C]119.633390966776[/C][C]2.44340837790941[/C][/ROW]
[ROW][C]0.76[/C][C]120.187807982274[/C][C]2.59580159894811[/C][/ROW]
[ROW][C]0.77[/C][C]120.781569828753[/C][C]2.75922814897262[/C][/ROW]
[ROW][C]0.78[/C][C]121.413878638842[/C][C]2.91442514132653[/C][/ROW]
[ROW][C]0.79[/C][C]122.079482310773[/C][C]3.03642615205419[/C][/ROW]
[ROW][C]0.8[/C][C]122.768102742745[/C][C]3.09958780933343[/C][/ROW]
[ROW][C]0.81[/C][C]123.464861879993[/C][C]3.08296331081186[/C][/ROW]
[ROW][C]0.82[/C][C]124.151836373753[/C][C]2.97557879304222[/C][/ROW]
[ROW][C]0.83[/C][C]124.810602333689[/C][C]2.77958705682648[/C][/ROW]
[ROW][C]0.84[/C][C]125.4253543755[/C][C]2.51192240940162[/C][/ROW]
[ROW][C]0.85[/C][C]125.985982685596[/C][C]2.20202404173503[/C][/ROW]
[ROW][C]0.86[/C][C]126.490440197549[/C][C]1.8877318446955[/C][/ROW]
[ROW][C]0.87[/C][C]126.945860112997[/C][C]1.60981747447803[/C][/ROW]
[ROW][C]0.88[/C][C]127.3681657278[/C][C]1.40557451751431[/C][/ROW]
[ROW][C]0.89[/C][C]127.780269839552[/C][C]1.30124938970506[/C][/ROW]
[ROW][C]0.9[/C][C]128.209274027598[/C][C]1.30302856781146[/C][/ROW]
[ROW][C]0.91[/C][C]128.683217998563[/C][C]1.39401346029021[/C][/ROW]
[ROW][C]0.92[/C][C]129.227774837097[/C][C]1.54376747025208[/C][/ROW]
[ROW][C]0.93[/C][C]129.862792931839[/C][C]1.71798100456129[/C][/ROW]
[ROW][C]0.94[/C][C]130.597938779184[/C][C]1.87994859989212[/C][/ROW]
[ROW][C]0.95[/C][C]131.426522248188[/C][C]1.98377922467194[/C][/ROW]
[ROW][C]0.96[/C][C]132.3177934337[/C][C]1.96807547484174[/C][/ROW]
[ROW][C]0.97[/C][C]133.210659532426[/C][C]1.7665930330399[/C][/ROW]
[ROW][C]0.98[/C][C]134.013830573798[/C][C]1.35696121562114[/C][/ROW]
[ROW][C]0.99[/C][C]134.617732369232[/C][C]0.854994768001204[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0193.5346777193270.260525837359649
0.0293.73648453433130.494623881227606
0.0394.05422491771060.841857545813855
0.0494.49267578704121.23377967669051
0.0595.04244551949381.58180359347603
0.0695.67517710537711.81885928626136
0.0796.35086899858351.92777716801122
0.0897.03070996473131.93653617797923
0.0997.68704093439071.89404084379202
0.198.30657468642661.84422694540012
0.1198.88782779235881.811769384153
0.1299.43594022717351.80108441522841
0.1399.95776074017581.80417262478796
0.14100.4586689765851.80827293713846
0.15100.9413135583731.80266460377016
0.16101.4057614106421.78002331398128
0.17101.8504093939581.73798513505604
0.18102.2731393441481.67819675125735
0.19102.6723832890471.60660900575745
0.2103.0479084931161.53239744840424
0.21103.4012244783221.4661210091354
0.22103.7355830364911.41782368679402
0.23104.0556080185891.39501472418441
0.24104.3666548954891.40026970942184
0.25104.674047025711.43089645832845
0.26104.9823511768571.47990584188826
0.27105.294833038541.53767584199703
0.28105.6131806115351.5949079625723
0.29105.9375154073071.64385241194955
0.3106.2666475065241.67889768109836
0.31106.5984865581421.69790471521301
0.32106.9305049255991.70089535977981
0.33107.2601606374091.68988652897339
0.34107.5852184868761.66787417815848
0.35107.9039456307271.63842531859266
0.36108.2151916539721.6046030615784
0.37108.5183841473191.56897649894335
0.38108.8134765485661.53386449153804
0.39109.1008776980021.50100837880237
0.4109.3813781412971.47243298017137
0.41109.6560736079571.44973943827151
0.42109.9262768694891.43447849272472
0.43110.1934080025721.42727141945559
0.44110.4588593477081.42824452783715
0.45110.7238420379571.43548353830013
0.46110.9892316370751.44687999260107
0.47111.2554373346881.45875894479228
0.48111.5223199970371.46757346388797
0.49111.7891788792141.46972258788583
0.5112.0548165019081.46208695221707
0.51112.3176787451151.44336231698554
0.52112.5760555078741.41301371641447
0.53112.8283186389611.37176041035654
0.54113.0731694686021.32256973088554
0.55113.3098681522511.26930708197343
0.56113.5384201921211.21651292295248
0.57113.7597004958241.16967650288405
0.58113.9755008742131.13441780215824
0.59114.1884923141141.11606428694937
0.6114.4020988728491.11915982942171
0.61114.6202865157551.14639725299716
0.62114.8472787463041.19831723325034
0.63115.0872220451431.27307577185748
0.64115.3438373014341.36646527009229
0.65115.6201062726511.47252010622942
0.66115.9180507013631.58383352280464
0.67116.2386611591821.69379300948416
0.68116.5820184548391.79659103683595
0.69116.9476201023361.88885356219705
0.7117.3348793008491.97054947721291
0.71117.7437106150522.04554627894764
0.72118.1750667893412.12140271182867
0.73118.6312604298792.20767792492781
0.74119.1159087508612.31331842927554
0.75119.6333909667762.44340837790941
0.76120.1878079822742.59580159894811
0.77120.7815698287532.75922814897262
0.78121.4138786388422.91442514132653
0.79122.0794823107733.03642615205419
0.8122.7681027427453.09958780933343
0.81123.4648618799933.08296331081186
0.82124.1518363737532.97557879304222
0.83124.8106023336892.77958705682648
0.84125.42535437552.51192240940162
0.85125.9859826855962.20202404173503
0.86126.4904401975491.8877318446955
0.87126.9458601129971.60981747447803
0.88127.36816572781.40557451751431
0.89127.7802698395521.30124938970506
0.9128.2092740275981.30302856781146
0.91128.6832179985631.39401346029021
0.92129.2277748370971.54376747025208
0.93129.8627929318391.71798100456129
0.94130.5979387791841.87994859989212
0.95131.4265222481881.98377922467194
0.96132.31779343371.96807547484174
0.97133.2106595324261.7665930330399
0.98134.0138305737981.35696121562114
0.99134.6177323692320.854994768001204


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')