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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 computationSun, 22 Mar 2009 05:14:34 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/22/t1237720567nadjwf5r4oxougn.htm/, Retrieved Thu, 18 Apr 2024 01:44:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39155, Retrieved Thu, 18 Apr 2024 01:44:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact227

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] [Harrel Davis - fo...] [2009-03-22 11:14:34] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
158.8
157.63
157.8
156.77
156.57
157.33
157.26
157.49
157.68
158.23
158.04
158.17
158.18
159.71
158.7
158.5
158.15
157.69
157.69
158.2
159.25
158.71
158.75
158.75
158.03
157.88
157.47
157.06
156.8
156.76
156.75
156.66
155.92
156.1
156.43
157.39
157.39
157.55
157.75
156.79
156.24
156.8
156.8
156.2
155.25
154.81
154.94
154.97
154.93
149.62
148.6
146.27
145.87
144.23
144.23
142.22
138.85
138.54
137.64
137.38
137.38
136.1
133.58
132.72
130.59
129.23
129.22
126.62
125.83
125.54
125.55
125.53

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39155&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39155&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39155&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01125.5547496911720.0832517733479553
0.02125.6404592632160.294504938213351
0.03125.8317272867350.650066660371127
0.04126.1641588537711.10308435348200
0.05126.6515612728431.57807883613824
0.06127.2839688555192.01076311668076
0.07128.0351349407652.37124502169005
0.08128.8731916668402.6615923650186
0.09129.7686650027092.89536155501083
0.1130.6976116767333.08004574286893
0.11131.6410777284533.21295429473717
0.12132.5834701632683.28853379621077
0.13133.5118154677333.30831717314143
0.14134.4164077931473.28634166376359
0.15135.2921694654813.24806665544633
0.16136.1396650626633.22425520630727
0.17136.9650187398523.24335060735303
0.18137.7785897259733.32136353369864
0.19138.5927934613303.46038114020322
0.2139.4197154346963.64755734424845
0.21140.2691275460793.86435656083727
0.22141.14727584394.08968584574362
0.23142.056501521814.30662239219285
0.24142.9955072871864.50171215700328
0.25143.9599606697064.66610796627206
0.26144.9431441830724.79203799483655
0.27145.9364780865414.87245611074491
0.28146.9298881474614.89976901044513
0.29147.9121052940204.86571123180909
0.3148.8710286855324.76442794570569
0.31149.7942543947004.59289660372005
0.32150.6697927543314.3531405537675
0.33151.4869067380464.05315273468618
0.34152.2369376271713.70564939726561
0.35152.9139643632893.32725991176892
0.36153.5151718701652.93652077645506
0.37154.0408672004772.55107505207637
0.38154.4941577546872.18582026171594
0.39154.8803703621951.85197466297735
0.4155.2063282590851.55684911945104
0.41155.4796098711931.30232299061771
0.42155.7078933003951.08831955643468
0.43155.8984539979630.911317369721889
0.44156.0578423192280.766453372573193
0.45156.1917323663850.648260071103753
0.46156.3049094693300.552343448077235
0.47156.4013522167590.474473968877952
0.48156.4843642842830.411449404513378
0.49156.5567179560070.361166255941179
0.5156.6207815965840.322279529924294
0.51156.6786145573590.293544807834146
0.52156.7320232953200.274070599256177
0.53156.7825809340430.263436015583965
0.54156.8316187240620.259535366415893
0.55156.8802017142810.261164890569688
0.56156.9291023532390.266333723854076
0.57156.9787847280130.272939833529029
0.58157.0294089666580.279168199334850
0.59157.0808605500190.283471104128466
0.6157.1328038042590.284585138033366
0.61157.1847537813260.282278797711601
0.62157.2361571422820.276407482033548
0.63157.2864712740360.267381977525569
0.64157.3352318827080.255770762954285
0.65157.3821022834280.242519029908639
0.66157.4269016052360.228832706186308
0.67157.4696129792750.215489385785382
0.68157.5103754415150.203270378565085
0.69157.5494641848480.192726093524553
0.7157.5872630164950.184538455578656
0.71157.6242311116730.178616835490798
0.72157.6608644753610.175759450494963
0.73157.6976519928550.175281748227098
0.74157.7350272155070.177084642002207
0.75157.7733200365470.180267358227510
0.76157.8127163235820.184027361636706
0.77157.8532369145620.187492580690498
0.78157.8947483804440.189460396931615
0.79157.9370149821030.189490463659401
0.8157.9797932967450.187343697315207
0.81158.0229581856560.183795580484188
0.82158.0666329270080.180091190628437
0.83158.1112814527450.178014762747412
0.84158.1577130685610.179681641449082
0.85158.2069576309420.186404222998641
0.86158.259998558530.197676338478343
0.87158.3174033115750.211222856820930
0.88158.3789569073770.222834020535329
0.89158.4434628708280.227859880496070
0.9158.5089004631720.22264077165459
0.91158.5730937821690.206304200921956
0.92158.6349454600430.181870587161737
0.93158.6961090775290.157616293721232
0.94158.7627056621810.148429454556594
0.95158.8463005015660.171499843015492
0.96158.9627637847240.230235696418244
0.97159.1266244444260.307691564806068
0.98159.3374597540790.378011173419828
0.99159.5586283832780.426314706499233

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 125.554749691172 & 0.0832517733479553 \tabularnewline
0.02 & 125.640459263216 & 0.294504938213351 \tabularnewline
0.03 & 125.831727286735 & 0.650066660371127 \tabularnewline
0.04 & 126.164158853771 & 1.10308435348200 \tabularnewline
0.05 & 126.651561272843 & 1.57807883613824 \tabularnewline
0.06 & 127.283968855519 & 2.01076311668076 \tabularnewline
0.07 & 128.035134940765 & 2.37124502169005 \tabularnewline
0.08 & 128.873191666840 & 2.6615923650186 \tabularnewline
0.09 & 129.768665002709 & 2.89536155501083 \tabularnewline
0.1 & 130.697611676733 & 3.08004574286893 \tabularnewline
0.11 & 131.641077728453 & 3.21295429473717 \tabularnewline
0.12 & 132.583470163268 & 3.28853379621077 \tabularnewline
0.13 & 133.511815467733 & 3.30831717314143 \tabularnewline
0.14 & 134.416407793147 & 3.28634166376359 \tabularnewline
0.15 & 135.292169465481 & 3.24806665544633 \tabularnewline
0.16 & 136.139665062663 & 3.22425520630727 \tabularnewline
0.17 & 136.965018739852 & 3.24335060735303 \tabularnewline
0.18 & 137.778589725973 & 3.32136353369864 \tabularnewline
0.19 & 138.592793461330 & 3.46038114020322 \tabularnewline
0.2 & 139.419715434696 & 3.64755734424845 \tabularnewline
0.21 & 140.269127546079 & 3.86435656083727 \tabularnewline
0.22 & 141.1472758439 & 4.08968584574362 \tabularnewline
0.23 & 142.05650152181 & 4.30662239219285 \tabularnewline
0.24 & 142.995507287186 & 4.50171215700328 \tabularnewline
0.25 & 143.959960669706 & 4.66610796627206 \tabularnewline
0.26 & 144.943144183072 & 4.79203799483655 \tabularnewline
0.27 & 145.936478086541 & 4.87245611074491 \tabularnewline
0.28 & 146.929888147461 & 4.89976901044513 \tabularnewline
0.29 & 147.912105294020 & 4.86571123180909 \tabularnewline
0.3 & 148.871028685532 & 4.76442794570569 \tabularnewline
0.31 & 149.794254394700 & 4.59289660372005 \tabularnewline
0.32 & 150.669792754331 & 4.3531405537675 \tabularnewline
0.33 & 151.486906738046 & 4.05315273468618 \tabularnewline
0.34 & 152.236937627171 & 3.70564939726561 \tabularnewline
0.35 & 152.913964363289 & 3.32725991176892 \tabularnewline
0.36 & 153.515171870165 & 2.93652077645506 \tabularnewline
0.37 & 154.040867200477 & 2.55107505207637 \tabularnewline
0.38 & 154.494157754687 & 2.18582026171594 \tabularnewline
0.39 & 154.880370362195 & 1.85197466297735 \tabularnewline
0.4 & 155.206328259085 & 1.55684911945104 \tabularnewline
0.41 & 155.479609871193 & 1.30232299061771 \tabularnewline
0.42 & 155.707893300395 & 1.08831955643468 \tabularnewline
0.43 & 155.898453997963 & 0.911317369721889 \tabularnewline
0.44 & 156.057842319228 & 0.766453372573193 \tabularnewline
0.45 & 156.191732366385 & 0.648260071103753 \tabularnewline
0.46 & 156.304909469330 & 0.552343448077235 \tabularnewline
0.47 & 156.401352216759 & 0.474473968877952 \tabularnewline
0.48 & 156.484364284283 & 0.411449404513378 \tabularnewline
0.49 & 156.556717956007 & 0.361166255941179 \tabularnewline
0.5 & 156.620781596584 & 0.322279529924294 \tabularnewline
0.51 & 156.678614557359 & 0.293544807834146 \tabularnewline
0.52 & 156.732023295320 & 0.274070599256177 \tabularnewline
0.53 & 156.782580934043 & 0.263436015583965 \tabularnewline
0.54 & 156.831618724062 & 0.259535366415893 \tabularnewline
0.55 & 156.880201714281 & 0.261164890569688 \tabularnewline
0.56 & 156.929102353239 & 0.266333723854076 \tabularnewline
0.57 & 156.978784728013 & 0.272939833529029 \tabularnewline
0.58 & 157.029408966658 & 0.279168199334850 \tabularnewline
0.59 & 157.080860550019 & 0.283471104128466 \tabularnewline
0.6 & 157.132803804259 & 0.284585138033366 \tabularnewline
0.61 & 157.184753781326 & 0.282278797711601 \tabularnewline
0.62 & 157.236157142282 & 0.276407482033548 \tabularnewline
0.63 & 157.286471274036 & 0.267381977525569 \tabularnewline
0.64 & 157.335231882708 & 0.255770762954285 \tabularnewline
0.65 & 157.382102283428 & 0.242519029908639 \tabularnewline
0.66 & 157.426901605236 & 0.228832706186308 \tabularnewline
0.67 & 157.469612979275 & 0.215489385785382 \tabularnewline
0.68 & 157.510375441515 & 0.203270378565085 \tabularnewline
0.69 & 157.549464184848 & 0.192726093524553 \tabularnewline
0.7 & 157.587263016495 & 0.184538455578656 \tabularnewline
0.71 & 157.624231111673 & 0.178616835490798 \tabularnewline
0.72 & 157.660864475361 & 0.175759450494963 \tabularnewline
0.73 & 157.697651992855 & 0.175281748227098 \tabularnewline
0.74 & 157.735027215507 & 0.177084642002207 \tabularnewline
0.75 & 157.773320036547 & 0.180267358227510 \tabularnewline
0.76 & 157.812716323582 & 0.184027361636706 \tabularnewline
0.77 & 157.853236914562 & 0.187492580690498 \tabularnewline
0.78 & 157.894748380444 & 0.189460396931615 \tabularnewline
0.79 & 157.937014982103 & 0.189490463659401 \tabularnewline
0.8 & 157.979793296745 & 0.187343697315207 \tabularnewline
0.81 & 158.022958185656 & 0.183795580484188 \tabularnewline
0.82 & 158.066632927008 & 0.180091190628437 \tabularnewline
0.83 & 158.111281452745 & 0.178014762747412 \tabularnewline
0.84 & 158.157713068561 & 0.179681641449082 \tabularnewline
0.85 & 158.206957630942 & 0.186404222998641 \tabularnewline
0.86 & 158.25999855853 & 0.197676338478343 \tabularnewline
0.87 & 158.317403311575 & 0.211222856820930 \tabularnewline
0.88 & 158.378956907377 & 0.222834020535329 \tabularnewline
0.89 & 158.443462870828 & 0.227859880496070 \tabularnewline
0.9 & 158.508900463172 & 0.22264077165459 \tabularnewline
0.91 & 158.573093782169 & 0.206304200921956 \tabularnewline
0.92 & 158.634945460043 & 0.181870587161737 \tabularnewline
0.93 & 158.696109077529 & 0.157616293721232 \tabularnewline
0.94 & 158.762705662181 & 0.148429454556594 \tabularnewline
0.95 & 158.846300501566 & 0.171499843015492 \tabularnewline
0.96 & 158.962763784724 & 0.230235696418244 \tabularnewline
0.97 & 159.126624444426 & 0.307691564806068 \tabularnewline
0.98 & 159.337459754079 & 0.378011173419828 \tabularnewline
0.99 & 159.558628383278 & 0.426314706499233 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39155&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]125.554749691172[/C][C]0.0832517733479553[/C][/ROW]
[ROW][C]0.02[/C][C]125.640459263216[/C][C]0.294504938213351[/C][/ROW]
[ROW][C]0.03[/C][C]125.831727286735[/C][C]0.650066660371127[/C][/ROW]
[ROW][C]0.04[/C][C]126.164158853771[/C][C]1.10308435348200[/C][/ROW]
[ROW][C]0.05[/C][C]126.651561272843[/C][C]1.57807883613824[/C][/ROW]
[ROW][C]0.06[/C][C]127.283968855519[/C][C]2.01076311668076[/C][/ROW]
[ROW][C]0.07[/C][C]128.035134940765[/C][C]2.37124502169005[/C][/ROW]
[ROW][C]0.08[/C][C]128.873191666840[/C][C]2.6615923650186[/C][/ROW]
[ROW][C]0.09[/C][C]129.768665002709[/C][C]2.89536155501083[/C][/ROW]
[ROW][C]0.1[/C][C]130.697611676733[/C][C]3.08004574286893[/C][/ROW]
[ROW][C]0.11[/C][C]131.641077728453[/C][C]3.21295429473717[/C][/ROW]
[ROW][C]0.12[/C][C]132.583470163268[/C][C]3.28853379621077[/C][/ROW]
[ROW][C]0.13[/C][C]133.511815467733[/C][C]3.30831717314143[/C][/ROW]
[ROW][C]0.14[/C][C]134.416407793147[/C][C]3.28634166376359[/C][/ROW]
[ROW][C]0.15[/C][C]135.292169465481[/C][C]3.24806665544633[/C][/ROW]
[ROW][C]0.16[/C][C]136.139665062663[/C][C]3.22425520630727[/C][/ROW]
[ROW][C]0.17[/C][C]136.965018739852[/C][C]3.24335060735303[/C][/ROW]
[ROW][C]0.18[/C][C]137.778589725973[/C][C]3.32136353369864[/C][/ROW]
[ROW][C]0.19[/C][C]138.592793461330[/C][C]3.46038114020322[/C][/ROW]
[ROW][C]0.2[/C][C]139.419715434696[/C][C]3.64755734424845[/C][/ROW]
[ROW][C]0.21[/C][C]140.269127546079[/C][C]3.86435656083727[/C][/ROW]
[ROW][C]0.22[/C][C]141.1472758439[/C][C]4.08968584574362[/C][/ROW]
[ROW][C]0.23[/C][C]142.05650152181[/C][C]4.30662239219285[/C][/ROW]
[ROW][C]0.24[/C][C]142.995507287186[/C][C]4.50171215700328[/C][/ROW]
[ROW][C]0.25[/C][C]143.959960669706[/C][C]4.66610796627206[/C][/ROW]
[ROW][C]0.26[/C][C]144.943144183072[/C][C]4.79203799483655[/C][/ROW]
[ROW][C]0.27[/C][C]145.936478086541[/C][C]4.87245611074491[/C][/ROW]
[ROW][C]0.28[/C][C]146.929888147461[/C][C]4.89976901044513[/C][/ROW]
[ROW][C]0.29[/C][C]147.912105294020[/C][C]4.86571123180909[/C][/ROW]
[ROW][C]0.3[/C][C]148.871028685532[/C][C]4.76442794570569[/C][/ROW]
[ROW][C]0.31[/C][C]149.794254394700[/C][C]4.59289660372005[/C][/ROW]
[ROW][C]0.32[/C][C]150.669792754331[/C][C]4.3531405537675[/C][/ROW]
[ROW][C]0.33[/C][C]151.486906738046[/C][C]4.05315273468618[/C][/ROW]
[ROW][C]0.34[/C][C]152.236937627171[/C][C]3.70564939726561[/C][/ROW]
[ROW][C]0.35[/C][C]152.913964363289[/C][C]3.32725991176892[/C][/ROW]
[ROW][C]0.36[/C][C]153.515171870165[/C][C]2.93652077645506[/C][/ROW]
[ROW][C]0.37[/C][C]154.040867200477[/C][C]2.55107505207637[/C][/ROW]
[ROW][C]0.38[/C][C]154.494157754687[/C][C]2.18582026171594[/C][/ROW]
[ROW][C]0.39[/C][C]154.880370362195[/C][C]1.85197466297735[/C][/ROW]
[ROW][C]0.4[/C][C]155.206328259085[/C][C]1.55684911945104[/C][/ROW]
[ROW][C]0.41[/C][C]155.479609871193[/C][C]1.30232299061771[/C][/ROW]
[ROW][C]0.42[/C][C]155.707893300395[/C][C]1.08831955643468[/C][/ROW]
[ROW][C]0.43[/C][C]155.898453997963[/C][C]0.911317369721889[/C][/ROW]
[ROW][C]0.44[/C][C]156.057842319228[/C][C]0.766453372573193[/C][/ROW]
[ROW][C]0.45[/C][C]156.191732366385[/C][C]0.648260071103753[/C][/ROW]
[ROW][C]0.46[/C][C]156.304909469330[/C][C]0.552343448077235[/C][/ROW]
[ROW][C]0.47[/C][C]156.401352216759[/C][C]0.474473968877952[/C][/ROW]
[ROW][C]0.48[/C][C]156.484364284283[/C][C]0.411449404513378[/C][/ROW]
[ROW][C]0.49[/C][C]156.556717956007[/C][C]0.361166255941179[/C][/ROW]
[ROW][C]0.5[/C][C]156.620781596584[/C][C]0.322279529924294[/C][/ROW]
[ROW][C]0.51[/C][C]156.678614557359[/C][C]0.293544807834146[/C][/ROW]
[ROW][C]0.52[/C][C]156.732023295320[/C][C]0.274070599256177[/C][/ROW]
[ROW][C]0.53[/C][C]156.782580934043[/C][C]0.263436015583965[/C][/ROW]
[ROW][C]0.54[/C][C]156.831618724062[/C][C]0.259535366415893[/C][/ROW]
[ROW][C]0.55[/C][C]156.880201714281[/C][C]0.261164890569688[/C][/ROW]
[ROW][C]0.56[/C][C]156.929102353239[/C][C]0.266333723854076[/C][/ROW]
[ROW][C]0.57[/C][C]156.978784728013[/C][C]0.272939833529029[/C][/ROW]
[ROW][C]0.58[/C][C]157.029408966658[/C][C]0.279168199334850[/C][/ROW]
[ROW][C]0.59[/C][C]157.080860550019[/C][C]0.283471104128466[/C][/ROW]
[ROW][C]0.6[/C][C]157.132803804259[/C][C]0.284585138033366[/C][/ROW]
[ROW][C]0.61[/C][C]157.184753781326[/C][C]0.282278797711601[/C][/ROW]
[ROW][C]0.62[/C][C]157.236157142282[/C][C]0.276407482033548[/C][/ROW]
[ROW][C]0.63[/C][C]157.286471274036[/C][C]0.267381977525569[/C][/ROW]
[ROW][C]0.64[/C][C]157.335231882708[/C][C]0.255770762954285[/C][/ROW]
[ROW][C]0.65[/C][C]157.382102283428[/C][C]0.242519029908639[/C][/ROW]
[ROW][C]0.66[/C][C]157.426901605236[/C][C]0.228832706186308[/C][/ROW]
[ROW][C]0.67[/C][C]157.469612979275[/C][C]0.215489385785382[/C][/ROW]
[ROW][C]0.68[/C][C]157.510375441515[/C][C]0.203270378565085[/C][/ROW]
[ROW][C]0.69[/C][C]157.549464184848[/C][C]0.192726093524553[/C][/ROW]
[ROW][C]0.7[/C][C]157.587263016495[/C][C]0.184538455578656[/C][/ROW]
[ROW][C]0.71[/C][C]157.624231111673[/C][C]0.178616835490798[/C][/ROW]
[ROW][C]0.72[/C][C]157.660864475361[/C][C]0.175759450494963[/C][/ROW]
[ROW][C]0.73[/C][C]157.697651992855[/C][C]0.175281748227098[/C][/ROW]
[ROW][C]0.74[/C][C]157.735027215507[/C][C]0.177084642002207[/C][/ROW]
[ROW][C]0.75[/C][C]157.773320036547[/C][C]0.180267358227510[/C][/ROW]
[ROW][C]0.76[/C][C]157.812716323582[/C][C]0.184027361636706[/C][/ROW]
[ROW][C]0.77[/C][C]157.853236914562[/C][C]0.187492580690498[/C][/ROW]
[ROW][C]0.78[/C][C]157.894748380444[/C][C]0.189460396931615[/C][/ROW]
[ROW][C]0.79[/C][C]157.937014982103[/C][C]0.189490463659401[/C][/ROW]
[ROW][C]0.8[/C][C]157.979793296745[/C][C]0.187343697315207[/C][/ROW]
[ROW][C]0.81[/C][C]158.022958185656[/C][C]0.183795580484188[/C][/ROW]
[ROW][C]0.82[/C][C]158.066632927008[/C][C]0.180091190628437[/C][/ROW]
[ROW][C]0.83[/C][C]158.111281452745[/C][C]0.178014762747412[/C][/ROW]
[ROW][C]0.84[/C][C]158.157713068561[/C][C]0.179681641449082[/C][/ROW]
[ROW][C]0.85[/C][C]158.206957630942[/C][C]0.186404222998641[/C][/ROW]
[ROW][C]0.86[/C][C]158.25999855853[/C][C]0.197676338478343[/C][/ROW]
[ROW][C]0.87[/C][C]158.317403311575[/C][C]0.211222856820930[/C][/ROW]
[ROW][C]0.88[/C][C]158.378956907377[/C][C]0.222834020535329[/C][/ROW]
[ROW][C]0.89[/C][C]158.443462870828[/C][C]0.227859880496070[/C][/ROW]
[ROW][C]0.9[/C][C]158.508900463172[/C][C]0.22264077165459[/C][/ROW]
[ROW][C]0.91[/C][C]158.573093782169[/C][C]0.206304200921956[/C][/ROW]
[ROW][C]0.92[/C][C]158.634945460043[/C][C]0.181870587161737[/C][/ROW]
[ROW][C]0.93[/C][C]158.696109077529[/C][C]0.157616293721232[/C][/ROW]
[ROW][C]0.94[/C][C]158.762705662181[/C][C]0.148429454556594[/C][/ROW]
[ROW][C]0.95[/C][C]158.846300501566[/C][C]0.171499843015492[/C][/ROW]
[ROW][C]0.96[/C][C]158.962763784724[/C][C]0.230235696418244[/C][/ROW]
[ROW][C]0.97[/C][C]159.126624444426[/C][C]0.307691564806068[/C][/ROW]
[ROW][C]0.98[/C][C]159.337459754079[/C][C]0.378011173419828[/C][/ROW]
[ROW][C]0.99[/C][C]159.558628383278[/C][C]0.426314706499233[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39155&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39155&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
0.01125.5547496911720.0832517733479553
0.02125.6404592632160.294504938213351
0.03125.8317272867350.650066660371127
0.04126.1641588537711.10308435348200
0.05126.6515612728431.57807883613824
0.06127.2839688555192.01076311668076
0.07128.0351349407652.37124502169005
0.08128.8731916668402.6615923650186
0.09129.7686650027092.89536155501083
0.1130.6976116767333.08004574286893
0.11131.6410777284533.21295429473717
0.12132.5834701632683.28853379621077
0.13133.5118154677333.30831717314143
0.14134.4164077931473.28634166376359
0.15135.2921694654813.24806665544633
0.16136.1396650626633.22425520630727
0.17136.9650187398523.24335060735303
0.18137.7785897259733.32136353369864
0.19138.5927934613303.46038114020322
0.2139.4197154346963.64755734424845
0.21140.2691275460793.86435656083727
0.22141.14727584394.08968584574362
0.23142.056501521814.30662239219285
0.24142.9955072871864.50171215700328
0.25143.9599606697064.66610796627206
0.26144.9431441830724.79203799483655
0.27145.9364780865414.87245611074491
0.28146.9298881474614.89976901044513
0.29147.9121052940204.86571123180909
0.3148.8710286855324.76442794570569
0.31149.7942543947004.59289660372005
0.32150.6697927543314.3531405537675
0.33151.4869067380464.05315273468618
0.34152.2369376271713.70564939726561
0.35152.9139643632893.32725991176892
0.36153.5151718701652.93652077645506
0.37154.0408672004772.55107505207637
0.38154.4941577546872.18582026171594
0.39154.8803703621951.85197466297735
0.4155.2063282590851.55684911945104
0.41155.4796098711931.30232299061771
0.42155.7078933003951.08831955643468
0.43155.8984539979630.911317369721889
0.44156.0578423192280.766453372573193
0.45156.1917323663850.648260071103753
0.46156.3049094693300.552343448077235
0.47156.4013522167590.474473968877952
0.48156.4843642842830.411449404513378
0.49156.5567179560070.361166255941179
0.5156.6207815965840.322279529924294
0.51156.6786145573590.293544807834146
0.52156.7320232953200.274070599256177
0.53156.7825809340430.263436015583965
0.54156.8316187240620.259535366415893
0.55156.8802017142810.261164890569688
0.56156.9291023532390.266333723854076
0.57156.9787847280130.272939833529029
0.58157.0294089666580.279168199334850
0.59157.0808605500190.283471104128466
0.6157.1328038042590.284585138033366
0.61157.1847537813260.282278797711601
0.62157.2361571422820.276407482033548
0.63157.2864712740360.267381977525569
0.64157.3352318827080.255770762954285
0.65157.3821022834280.242519029908639
0.66157.4269016052360.228832706186308
0.67157.4696129792750.215489385785382
0.68157.5103754415150.203270378565085
0.69157.5494641848480.192726093524553
0.7157.5872630164950.184538455578656
0.71157.6242311116730.178616835490798
0.72157.6608644753610.175759450494963
0.73157.6976519928550.175281748227098
0.74157.7350272155070.177084642002207
0.75157.7733200365470.180267358227510
0.76157.8127163235820.184027361636706
0.77157.8532369145620.187492580690498
0.78157.8947483804440.189460396931615
0.79157.9370149821030.189490463659401
0.8157.9797932967450.187343697315207
0.81158.0229581856560.183795580484188
0.82158.0666329270080.180091190628437
0.83158.1112814527450.178014762747412
0.84158.1577130685610.179681641449082
0.85158.2069576309420.186404222998641
0.86158.259998558530.197676338478343
0.87158.3174033115750.211222856820930
0.88158.3789569073770.222834020535329
0.89158.4434628708280.227859880496070
0.9158.5089004631720.22264077165459
0.91158.5730937821690.206304200921956
0.92158.6349454600430.181870587161737
0.93158.6961090775290.157616293721232
0.94158.7627056621810.148429454556594
0.95158.8463005015660.171499843015492
0.96158.9627637847240.230235696418244
0.97159.1266244444260.307691564806068
0.98159.3374597540790.378011173419828
0.99159.5586283832780.426314706499233


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')