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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, 17 Aug 2008 11:22:35 -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/2008/Aug/17/t1218993805roiglttc342f5t9.htm/, Retrieved Tue, 14 May 2024 10:45:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14618, Retrieved Tue, 14 May 2024 10:45:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact186

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] [Harrell-Davis - c...] [2008-08-17 17:22:35] [b82ef19bb71ab1d2d730136b4505428a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100.58
118.48
79.58
81.97
127.13
120.76
120.26
74.9
67.59
87.73
102.87
144.94
110.48
96.34
100.43
90.88
128.28
101.21
73.76
73.64
66.4
57.34
113.59
123.53
102.87
102.99
95.8
98.43
102.65
129.55
100.37
101.93
101.94
93.87
100.91
92.64
101.67
88.67
129.86
98.07
166.45
176.52
82.07
92.18
95.02
84.69
103.01
107.9
204.13
101.99
119.23
95.65
160.95
111.06
150.41
94.79
160.34
104.08
101.07
111.5
136.9
141.71
153.98
134.27
124.71
72.89
101.2
73.28
174.05
111.9
97.06
105.23
109.13
84.04
118.82
90.84
144.28
110.16
86.09
59.87
108.97
94.93
87.36
143.52
108.7
121.13
210.25
110.2
161.46
99.41
132.72
174.29
69.93
83.43
127.53
187.58

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=14618&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=14618&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14618&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
0.0159.16329359737093.65756003855784
0.0262.19148697363124.48817791205683
0.0365.26510554862324.23969749859994
0.0467.84223963931483.70137633309306
0.0569.88920516015933.30105275405401
0.0671.55233202501093.08340728888545
0.0772.9914440775933.09973194857756
0.0874.33743821479513.35950929298842
0.0975.68023747622553.74097630109027
0.177.05921520083054.0741322983944
0.1178.46585224566144.24481526928142
0.1279.86244174163074.22916355545626
0.1381.20683033137154.07815773962534
0.1482.47078874007283.87390310509304
0.1583.64633878667193.68885093431633
0.1684.74194442765353.5607146815145
0.1785.77409796500623.49187875498658
0.1886.75935591698823.4620960078704
0.1987.70944589269333.44452351296537
0.288.62973987633983.41615743923315
0.2189.52011959919663.36226719928596
0.2290.37700212627063.27660571795990
0.2391.19558006609883.16091209357725
0.2491.9717306059713.02335268706054
0.2592.70334586507752.87558470027493
0.2693.39100339160462.73129517268920
0.2794.03798386862172.6032101966005
0.2894.64971072563372.50112920407913
0.2995.23275860339732.42804338777324
0.395.79364651884562.38165721739779
0.3196.33767217827752.35293718786060
0.3296.86803362914782.3293756175727
0.3397.38541704537942.29769230681788
0.3497.88811926413852.24720660960952
0.3598.37265054180382.17155893185838
0.3698.83466089620542.06914390247396
0.3799.26997855115411.94419011490042
0.3899.67555165808051.80512050432261
0.39100.0501371762211.66208018110754
0.4100.3946625729711.52689229143757
0.41100.7122702368721.41078925192261
0.42101.0081173890251.3234965740896
0.43101.2890314120561.27292090484276
0.44101.5631099409991.26490067370690
0.45101.8393167019411.30298473592428
0.46102.1270760393601.38876606142106
0.47102.4358319264981.52132032869634
0.48102.7745277373401.69636661653307
0.49103.1509884893611.90634533440257
0.5103.5712422288482.14000889886865
0.51104.0388838209952.38287330475030
0.52104.5546366763822.61854454037074
0.53105.1162799651732.83207483436824
0.54105.7190642949683.01082977766483
0.55106.3566386998263.14914271555150
0.56107.0223773108893.24877319058629
0.57107.7108625264273.32020245340193
0.58108.4191958310403.38064751754693
0.59109.1478025968843.45055073667598
0.6109.9004875692913.54928086914051
0.61110.6836695832743.68861788722312
0.62111.5049361806153.87020854032161
0.63112.371251788534.08367124618086
0.64113.2872658628004.31029190584439
0.65114.2541571235684.52764530934749
0.66115.2693100585654.71476520945568
0.67116.3268879835154.85776325685065
0.68117.4191180308584.95112737021047
0.69118.5379252386574.99966413844278
0.7119.6765109561955.01467968243012
0.71120.830576432825.01146776249341
0.72121.9990908782635.00576317582668
0.73123.1846923599865.01213551313140
0.74124.3938873713685.04472944220755
0.75125.6371348581185.11764458276785
0.76126.9287104785255.24590625197660
0.77128.2860798894735.4416431895563
0.78129.7285228086005.70953777716402
0.79131.2750262161396.04098589895908
0.8132.9419272789576.4141349493085
0.81134.7411741489346.79890295867151
0.82136.6800421426247.16733579352122
0.83138.7624895812847.50423110054528
0.84140.9912548543667.81022097657416
0.85143.3689719678208.0949409375032
0.86145.8969042236728.3578023015724
0.87148.5717137536038.5747185589325
0.88151.3830259851778.70252249749864
0.89154.3152182154588.70824638551655
0.9157.3542895737538.60055061873055
0.91160.4969171706008.43208806408403
0.92163.7603945340838.25852914699859
0.93167.2038302805348.11685676311133
0.94170.9820225334088.12488408910841
0.95175.4292825607228.6672476355821
0.96181.07774200383510.2147298390325
0.97188.40009854083512.3380267901646
0.98197.12883546656012.9156135997739
0.99205.4555397953429.78794108992603

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 59.1632935973709 & 3.65756003855784 \tabularnewline
0.02 & 62.1914869736312 & 4.48817791205683 \tabularnewline
0.03 & 65.2651055486232 & 4.23969749859994 \tabularnewline
0.04 & 67.8422396393148 & 3.70137633309306 \tabularnewline
0.05 & 69.8892051601593 & 3.30105275405401 \tabularnewline
0.06 & 71.5523320250109 & 3.08340728888545 \tabularnewline
0.07 & 72.991444077593 & 3.09973194857756 \tabularnewline
0.08 & 74.3374382147951 & 3.35950929298842 \tabularnewline
0.09 & 75.6802374762255 & 3.74097630109027 \tabularnewline
0.1 & 77.0592152008305 & 4.0741322983944 \tabularnewline
0.11 & 78.4658522456614 & 4.24481526928142 \tabularnewline
0.12 & 79.8624417416307 & 4.22916355545626 \tabularnewline
0.13 & 81.2068303313715 & 4.07815773962534 \tabularnewline
0.14 & 82.4707887400728 & 3.87390310509304 \tabularnewline
0.15 & 83.6463387866719 & 3.68885093431633 \tabularnewline
0.16 & 84.7419444276535 & 3.5607146815145 \tabularnewline
0.17 & 85.7740979650062 & 3.49187875498658 \tabularnewline
0.18 & 86.7593559169882 & 3.4620960078704 \tabularnewline
0.19 & 87.7094458926933 & 3.44452351296537 \tabularnewline
0.2 & 88.6297398763398 & 3.41615743923315 \tabularnewline
0.21 & 89.5201195991966 & 3.36226719928596 \tabularnewline
0.22 & 90.3770021262706 & 3.27660571795990 \tabularnewline
0.23 & 91.1955800660988 & 3.16091209357725 \tabularnewline
0.24 & 91.971730605971 & 3.02335268706054 \tabularnewline
0.25 & 92.7033458650775 & 2.87558470027493 \tabularnewline
0.26 & 93.3910033916046 & 2.73129517268920 \tabularnewline
0.27 & 94.0379838686217 & 2.6032101966005 \tabularnewline
0.28 & 94.6497107256337 & 2.50112920407913 \tabularnewline
0.29 & 95.2327586033973 & 2.42804338777324 \tabularnewline
0.3 & 95.7936465188456 & 2.38165721739779 \tabularnewline
0.31 & 96.3376721782775 & 2.35293718786060 \tabularnewline
0.32 & 96.8680336291478 & 2.3293756175727 \tabularnewline
0.33 & 97.3854170453794 & 2.29769230681788 \tabularnewline
0.34 & 97.8881192641385 & 2.24720660960952 \tabularnewline
0.35 & 98.3726505418038 & 2.17155893185838 \tabularnewline
0.36 & 98.8346608962054 & 2.06914390247396 \tabularnewline
0.37 & 99.2699785511541 & 1.94419011490042 \tabularnewline
0.38 & 99.6755516580805 & 1.80512050432261 \tabularnewline
0.39 & 100.050137176221 & 1.66208018110754 \tabularnewline
0.4 & 100.394662572971 & 1.52689229143757 \tabularnewline
0.41 & 100.712270236872 & 1.41078925192261 \tabularnewline
0.42 & 101.008117389025 & 1.3234965740896 \tabularnewline
0.43 & 101.289031412056 & 1.27292090484276 \tabularnewline
0.44 & 101.563109940999 & 1.26490067370690 \tabularnewline
0.45 & 101.839316701941 & 1.30298473592428 \tabularnewline
0.46 & 102.127076039360 & 1.38876606142106 \tabularnewline
0.47 & 102.435831926498 & 1.52132032869634 \tabularnewline
0.48 & 102.774527737340 & 1.69636661653307 \tabularnewline
0.49 & 103.150988489361 & 1.90634533440257 \tabularnewline
0.5 & 103.571242228848 & 2.14000889886865 \tabularnewline
0.51 & 104.038883820995 & 2.38287330475030 \tabularnewline
0.52 & 104.554636676382 & 2.61854454037074 \tabularnewline
0.53 & 105.116279965173 & 2.83207483436824 \tabularnewline
0.54 & 105.719064294968 & 3.01082977766483 \tabularnewline
0.55 & 106.356638699826 & 3.14914271555150 \tabularnewline
0.56 & 107.022377310889 & 3.24877319058629 \tabularnewline
0.57 & 107.710862526427 & 3.32020245340193 \tabularnewline
0.58 & 108.419195831040 & 3.38064751754693 \tabularnewline
0.59 & 109.147802596884 & 3.45055073667598 \tabularnewline
0.6 & 109.900487569291 & 3.54928086914051 \tabularnewline
0.61 & 110.683669583274 & 3.68861788722312 \tabularnewline
0.62 & 111.504936180615 & 3.87020854032161 \tabularnewline
0.63 & 112.37125178853 & 4.08367124618086 \tabularnewline
0.64 & 113.287265862800 & 4.31029190584439 \tabularnewline
0.65 & 114.254157123568 & 4.52764530934749 \tabularnewline
0.66 & 115.269310058565 & 4.71476520945568 \tabularnewline
0.67 & 116.326887983515 & 4.85776325685065 \tabularnewline
0.68 & 117.419118030858 & 4.95112737021047 \tabularnewline
0.69 & 118.537925238657 & 4.99966413844278 \tabularnewline
0.7 & 119.676510956195 & 5.01467968243012 \tabularnewline
0.71 & 120.83057643282 & 5.01146776249341 \tabularnewline
0.72 & 121.999090878263 & 5.00576317582668 \tabularnewline
0.73 & 123.184692359986 & 5.01213551313140 \tabularnewline
0.74 & 124.393887371368 & 5.04472944220755 \tabularnewline
0.75 & 125.637134858118 & 5.11764458276785 \tabularnewline
0.76 & 126.928710478525 & 5.24590625197660 \tabularnewline
0.77 & 128.286079889473 & 5.4416431895563 \tabularnewline
0.78 & 129.728522808600 & 5.70953777716402 \tabularnewline
0.79 & 131.275026216139 & 6.04098589895908 \tabularnewline
0.8 & 132.941927278957 & 6.4141349493085 \tabularnewline
0.81 & 134.741174148934 & 6.79890295867151 \tabularnewline
0.82 & 136.680042142624 & 7.16733579352122 \tabularnewline
0.83 & 138.762489581284 & 7.50423110054528 \tabularnewline
0.84 & 140.991254854366 & 7.81022097657416 \tabularnewline
0.85 & 143.368971967820 & 8.0949409375032 \tabularnewline
0.86 & 145.896904223672 & 8.3578023015724 \tabularnewline
0.87 & 148.571713753603 & 8.5747185589325 \tabularnewline
0.88 & 151.383025985177 & 8.70252249749864 \tabularnewline
0.89 & 154.315218215458 & 8.70824638551655 \tabularnewline
0.9 & 157.354289573753 & 8.60055061873055 \tabularnewline
0.91 & 160.496917170600 & 8.43208806408403 \tabularnewline
0.92 & 163.760394534083 & 8.25852914699859 \tabularnewline
0.93 & 167.203830280534 & 8.11685676311133 \tabularnewline
0.94 & 170.982022533408 & 8.12488408910841 \tabularnewline
0.95 & 175.429282560722 & 8.6672476355821 \tabularnewline
0.96 & 181.077742003835 & 10.2147298390325 \tabularnewline
0.97 & 188.400098540835 & 12.3380267901646 \tabularnewline
0.98 & 197.128835466560 & 12.9156135997739 \tabularnewline
0.99 & 205.455539795342 & 9.78794108992603 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14618&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]59.1632935973709[/C][C]3.65756003855784[/C][/ROW]
[ROW][C]0.02[/C][C]62.1914869736312[/C][C]4.48817791205683[/C][/ROW]
[ROW][C]0.03[/C][C]65.2651055486232[/C][C]4.23969749859994[/C][/ROW]
[ROW][C]0.04[/C][C]67.8422396393148[/C][C]3.70137633309306[/C][/ROW]
[ROW][C]0.05[/C][C]69.8892051601593[/C][C]3.30105275405401[/C][/ROW]
[ROW][C]0.06[/C][C]71.5523320250109[/C][C]3.08340728888545[/C][/ROW]
[ROW][C]0.07[/C][C]72.991444077593[/C][C]3.09973194857756[/C][/ROW]
[ROW][C]0.08[/C][C]74.3374382147951[/C][C]3.35950929298842[/C][/ROW]
[ROW][C]0.09[/C][C]75.6802374762255[/C][C]3.74097630109027[/C][/ROW]
[ROW][C]0.1[/C][C]77.0592152008305[/C][C]4.0741322983944[/C][/ROW]
[ROW][C]0.11[/C][C]78.4658522456614[/C][C]4.24481526928142[/C][/ROW]
[ROW][C]0.12[/C][C]79.8624417416307[/C][C]4.22916355545626[/C][/ROW]
[ROW][C]0.13[/C][C]81.2068303313715[/C][C]4.07815773962534[/C][/ROW]
[ROW][C]0.14[/C][C]82.4707887400728[/C][C]3.87390310509304[/C][/ROW]
[ROW][C]0.15[/C][C]83.6463387866719[/C][C]3.68885093431633[/C][/ROW]
[ROW][C]0.16[/C][C]84.7419444276535[/C][C]3.5607146815145[/C][/ROW]
[ROW][C]0.17[/C][C]85.7740979650062[/C][C]3.49187875498658[/C][/ROW]
[ROW][C]0.18[/C][C]86.7593559169882[/C][C]3.4620960078704[/C][/ROW]
[ROW][C]0.19[/C][C]87.7094458926933[/C][C]3.44452351296537[/C][/ROW]
[ROW][C]0.2[/C][C]88.6297398763398[/C][C]3.41615743923315[/C][/ROW]
[ROW][C]0.21[/C][C]89.5201195991966[/C][C]3.36226719928596[/C][/ROW]
[ROW][C]0.22[/C][C]90.3770021262706[/C][C]3.27660571795990[/C][/ROW]
[ROW][C]0.23[/C][C]91.1955800660988[/C][C]3.16091209357725[/C][/ROW]
[ROW][C]0.24[/C][C]91.971730605971[/C][C]3.02335268706054[/C][/ROW]
[ROW][C]0.25[/C][C]92.7033458650775[/C][C]2.87558470027493[/C][/ROW]
[ROW][C]0.26[/C][C]93.3910033916046[/C][C]2.73129517268920[/C][/ROW]
[ROW][C]0.27[/C][C]94.0379838686217[/C][C]2.6032101966005[/C][/ROW]
[ROW][C]0.28[/C][C]94.6497107256337[/C][C]2.50112920407913[/C][/ROW]
[ROW][C]0.29[/C][C]95.2327586033973[/C][C]2.42804338777324[/C][/ROW]
[ROW][C]0.3[/C][C]95.7936465188456[/C][C]2.38165721739779[/C][/ROW]
[ROW][C]0.31[/C][C]96.3376721782775[/C][C]2.35293718786060[/C][/ROW]
[ROW][C]0.32[/C][C]96.8680336291478[/C][C]2.3293756175727[/C][/ROW]
[ROW][C]0.33[/C][C]97.3854170453794[/C][C]2.29769230681788[/C][/ROW]
[ROW][C]0.34[/C][C]97.8881192641385[/C][C]2.24720660960952[/C][/ROW]
[ROW][C]0.35[/C][C]98.3726505418038[/C][C]2.17155893185838[/C][/ROW]
[ROW][C]0.36[/C][C]98.8346608962054[/C][C]2.06914390247396[/C][/ROW]
[ROW][C]0.37[/C][C]99.2699785511541[/C][C]1.94419011490042[/C][/ROW]
[ROW][C]0.38[/C][C]99.6755516580805[/C][C]1.80512050432261[/C][/ROW]
[ROW][C]0.39[/C][C]100.050137176221[/C][C]1.66208018110754[/C][/ROW]
[ROW][C]0.4[/C][C]100.394662572971[/C][C]1.52689229143757[/C][/ROW]
[ROW][C]0.41[/C][C]100.712270236872[/C][C]1.41078925192261[/C][/ROW]
[ROW][C]0.42[/C][C]101.008117389025[/C][C]1.3234965740896[/C][/ROW]
[ROW][C]0.43[/C][C]101.289031412056[/C][C]1.27292090484276[/C][/ROW]
[ROW][C]0.44[/C][C]101.563109940999[/C][C]1.26490067370690[/C][/ROW]
[ROW][C]0.45[/C][C]101.839316701941[/C][C]1.30298473592428[/C][/ROW]
[ROW][C]0.46[/C][C]102.127076039360[/C][C]1.38876606142106[/C][/ROW]
[ROW][C]0.47[/C][C]102.435831926498[/C][C]1.52132032869634[/C][/ROW]
[ROW][C]0.48[/C][C]102.774527737340[/C][C]1.69636661653307[/C][/ROW]
[ROW][C]0.49[/C][C]103.150988489361[/C][C]1.90634533440257[/C][/ROW]
[ROW][C]0.5[/C][C]103.571242228848[/C][C]2.14000889886865[/C][/ROW]
[ROW][C]0.51[/C][C]104.038883820995[/C][C]2.38287330475030[/C][/ROW]
[ROW][C]0.52[/C][C]104.554636676382[/C][C]2.61854454037074[/C][/ROW]
[ROW][C]0.53[/C][C]105.116279965173[/C][C]2.83207483436824[/C][/ROW]
[ROW][C]0.54[/C][C]105.719064294968[/C][C]3.01082977766483[/C][/ROW]
[ROW][C]0.55[/C][C]106.356638699826[/C][C]3.14914271555150[/C][/ROW]
[ROW][C]0.56[/C][C]107.022377310889[/C][C]3.24877319058629[/C][/ROW]
[ROW][C]0.57[/C][C]107.710862526427[/C][C]3.32020245340193[/C][/ROW]
[ROW][C]0.58[/C][C]108.419195831040[/C][C]3.38064751754693[/C][/ROW]
[ROW][C]0.59[/C][C]109.147802596884[/C][C]3.45055073667598[/C][/ROW]
[ROW][C]0.6[/C][C]109.900487569291[/C][C]3.54928086914051[/C][/ROW]
[ROW][C]0.61[/C][C]110.683669583274[/C][C]3.68861788722312[/C][/ROW]
[ROW][C]0.62[/C][C]111.504936180615[/C][C]3.87020854032161[/C][/ROW]
[ROW][C]0.63[/C][C]112.37125178853[/C][C]4.08367124618086[/C][/ROW]
[ROW][C]0.64[/C][C]113.287265862800[/C][C]4.31029190584439[/C][/ROW]
[ROW][C]0.65[/C][C]114.254157123568[/C][C]4.52764530934749[/C][/ROW]
[ROW][C]0.66[/C][C]115.269310058565[/C][C]4.71476520945568[/C][/ROW]
[ROW][C]0.67[/C][C]116.326887983515[/C][C]4.85776325685065[/C][/ROW]
[ROW][C]0.68[/C][C]117.419118030858[/C][C]4.95112737021047[/C][/ROW]
[ROW][C]0.69[/C][C]118.537925238657[/C][C]4.99966413844278[/C][/ROW]
[ROW][C]0.7[/C][C]119.676510956195[/C][C]5.01467968243012[/C][/ROW]
[ROW][C]0.71[/C][C]120.83057643282[/C][C]5.01146776249341[/C][/ROW]
[ROW][C]0.72[/C][C]121.999090878263[/C][C]5.00576317582668[/C][/ROW]
[ROW][C]0.73[/C][C]123.184692359986[/C][C]5.01213551313140[/C][/ROW]
[ROW][C]0.74[/C][C]124.393887371368[/C][C]5.04472944220755[/C][/ROW]
[ROW][C]0.75[/C][C]125.637134858118[/C][C]5.11764458276785[/C][/ROW]
[ROW][C]0.76[/C][C]126.928710478525[/C][C]5.24590625197660[/C][/ROW]
[ROW][C]0.77[/C][C]128.286079889473[/C][C]5.4416431895563[/C][/ROW]
[ROW][C]0.78[/C][C]129.728522808600[/C][C]5.70953777716402[/C][/ROW]
[ROW][C]0.79[/C][C]131.275026216139[/C][C]6.04098589895908[/C][/ROW]
[ROW][C]0.8[/C][C]132.941927278957[/C][C]6.4141349493085[/C][/ROW]
[ROW][C]0.81[/C][C]134.741174148934[/C][C]6.79890295867151[/C][/ROW]
[ROW][C]0.82[/C][C]136.680042142624[/C][C]7.16733579352122[/C][/ROW]
[ROW][C]0.83[/C][C]138.762489581284[/C][C]7.50423110054528[/C][/ROW]
[ROW][C]0.84[/C][C]140.991254854366[/C][C]7.81022097657416[/C][/ROW]
[ROW][C]0.85[/C][C]143.368971967820[/C][C]8.0949409375032[/C][/ROW]
[ROW][C]0.86[/C][C]145.896904223672[/C][C]8.3578023015724[/C][/ROW]
[ROW][C]0.87[/C][C]148.571713753603[/C][C]8.5747185589325[/C][/ROW]
[ROW][C]0.88[/C][C]151.383025985177[/C][C]8.70252249749864[/C][/ROW]
[ROW][C]0.89[/C][C]154.315218215458[/C][C]8.70824638551655[/C][/ROW]
[ROW][C]0.9[/C][C]157.354289573753[/C][C]8.60055061873055[/C][/ROW]
[ROW][C]0.91[/C][C]160.496917170600[/C][C]8.43208806408403[/C][/ROW]
[ROW][C]0.92[/C][C]163.760394534083[/C][C]8.25852914699859[/C][/ROW]
[ROW][C]0.93[/C][C]167.203830280534[/C][C]8.11685676311133[/C][/ROW]
[ROW][C]0.94[/C][C]170.982022533408[/C][C]8.12488408910841[/C][/ROW]
[ROW][C]0.95[/C][C]175.429282560722[/C][C]8.6672476355821[/C][/ROW]
[ROW][C]0.96[/C][C]181.077742003835[/C][C]10.2147298390325[/C][/ROW]
[ROW][C]0.97[/C][C]188.400098540835[/C][C]12.3380267901646[/C][/ROW]
[ROW][C]0.98[/C][C]197.128835466560[/C][C]12.9156135997739[/C][/ROW]
[ROW][C]0.99[/C][C]205.455539795342[/C][C]9.78794108992603[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14618&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14618&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
0.0159.16329359737093.65756003855784
0.0262.19148697363124.48817791205683
0.0365.26510554862324.23969749859994
0.0467.84223963931483.70137633309306
0.0569.88920516015933.30105275405401
0.0671.55233202501093.08340728888545
0.0772.9914440775933.09973194857756
0.0874.33743821479513.35950929298842
0.0975.68023747622553.74097630109027
0.177.05921520083054.0741322983944
0.1178.46585224566144.24481526928142
0.1279.86244174163074.22916355545626
0.1381.20683033137154.07815773962534
0.1482.47078874007283.87390310509304
0.1583.64633878667193.68885093431633
0.1684.74194442765353.5607146815145
0.1785.77409796500623.49187875498658
0.1886.75935591698823.4620960078704
0.1987.70944589269333.44452351296537
0.288.62973987633983.41615743923315
0.2189.52011959919663.36226719928596
0.2290.37700212627063.27660571795990
0.2391.19558006609883.16091209357725
0.2491.9717306059713.02335268706054
0.2592.70334586507752.87558470027493
0.2693.39100339160462.73129517268920
0.2794.03798386862172.6032101966005
0.2894.64971072563372.50112920407913
0.2995.23275860339732.42804338777324
0.395.79364651884562.38165721739779
0.3196.33767217827752.35293718786060
0.3296.86803362914782.3293756175727
0.3397.38541704537942.29769230681788
0.3497.88811926413852.24720660960952
0.3598.37265054180382.17155893185838
0.3698.83466089620542.06914390247396
0.3799.26997855115411.94419011490042
0.3899.67555165808051.80512050432261
0.39100.0501371762211.66208018110754
0.4100.3946625729711.52689229143757
0.41100.7122702368721.41078925192261
0.42101.0081173890251.3234965740896
0.43101.2890314120561.27292090484276
0.44101.5631099409991.26490067370690
0.45101.8393167019411.30298473592428
0.46102.1270760393601.38876606142106
0.47102.4358319264981.52132032869634
0.48102.7745277373401.69636661653307
0.49103.1509884893611.90634533440257
0.5103.5712422288482.14000889886865
0.51104.0388838209952.38287330475030
0.52104.5546366763822.61854454037074
0.53105.1162799651732.83207483436824
0.54105.7190642949683.01082977766483
0.55106.3566386998263.14914271555150
0.56107.0223773108893.24877319058629
0.57107.7108625264273.32020245340193
0.58108.4191958310403.38064751754693
0.59109.1478025968843.45055073667598
0.6109.9004875692913.54928086914051
0.61110.6836695832743.68861788722312
0.62111.5049361806153.87020854032161
0.63112.371251788534.08367124618086
0.64113.2872658628004.31029190584439
0.65114.2541571235684.52764530934749
0.66115.2693100585654.71476520945568
0.67116.3268879835154.85776325685065
0.68117.4191180308584.95112737021047
0.69118.5379252386574.99966413844278
0.7119.6765109561955.01467968243012
0.71120.830576432825.01146776249341
0.72121.9990908782635.00576317582668
0.73123.1846923599865.01213551313140
0.74124.3938873713685.04472944220755
0.75125.6371348581185.11764458276785
0.76126.9287104785255.24590625197660
0.77128.2860798894735.4416431895563
0.78129.7285228086005.70953777716402
0.79131.2750262161396.04098589895908
0.8132.9419272789576.4141349493085
0.81134.7411741489346.79890295867151
0.82136.6800421426247.16733579352122
0.83138.7624895812847.50423110054528
0.84140.9912548543667.81022097657416
0.85143.3689719678208.0949409375032
0.86145.8969042236728.3578023015724
0.87148.5717137536038.5747185589325
0.88151.3830259851778.70252249749864
0.89154.3152182154588.70824638551655
0.9157.3542895737538.60055061873055
0.91160.4969171706008.43208806408403
0.92163.7603945340838.25852914699859
0.93167.2038302805348.11685676311133
0.94170.9820225334088.12488408910841
0.95175.4292825607228.6672476355821
0.96181.07774200383510.2147298390325
0.97188.40009854083512.3380267901646
0.98197.12883546656012.9156135997739
0.99205.4555397953429.78794108992603


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')