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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 computationWed, 27 Feb 2008 10:12:57 -0700
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/Feb/27/t1204132502jiznkzmvo88yqa9.htm/, Retrieved Mon, 13 May 2024 12:33:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9228, Retrieved Mon, 13 May 2024 12:33:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164

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] [Plantaardige stof...] [2008-02-27 17:12:57] [506d2bb30770262a8edd99d84e6e5636] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
79.2
81.5
81.5
82
85.8
88.2
88
88.8
89
90.4
90.9
94.6
97.9
101.7
102.3
103.5
103.6
102.3
101.6
104.3
110.8
112.1
111.1
114.4
115
115.3
114.1
114.8
114.5
114.1
112.3
113
112.2
113.7
113.6
115.8
117.9
120.1
118.8
114.7
110.9
112.9
113.3
114.3
116.5
114.3
115.9
120.1
122.6
122.4
123.1
127.9
130.9
135
134.9
130.2
130.8
132.6
138.6
146.2
149.3
149.9
156.8
158.8
156.7
159.9
158.2
157.5
159.1
160.6
161.6
161.3

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9228&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9228&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9228&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0179.82345255452841.81555416338513
0.0280.71357221083831.46703509538817
0.0381.64199887697551.65492737578709
0.0482.586546978682.17427432876966
0.0583.58748098480962.63791161528257
0.0684.64209460005542.8685090693589
0.0785.70518510945532.87540094473545
0.0886.73046871675522.78007678193091
0.0987.70011586041312.73417397737761
0.188.6293212683072.84773862073787
0.1189.55406755726273.14528356092945
0.1290.51397472040583.57730501528136
0.1391.53835147214984.06092633837709
0.1492.63878237814244.51272096219567
0.1593.80825299256824.86500419296082
0.1695.02514746198225.0762790619041
0.1796.25991252994145.13553134327446
0.1897.4822583127815.06069874438981
0.1998.6671782202714.89172210580408
0.299.7986833459974.68005792617561
0.21100.8708516924114.47608325712063
0.22101.8864581053644.31729158370960
0.23102.8539447077374.22031431499611
0.24103.7837270842984.17883943892569
0.25104.6847952356584.16904871739982
0.26105.5623176886904.15903972267743
0.27106.4165928246964.11846372986757
0.28107.2433222397164.02480687782321
0.29108.0348939196373.86744259109649
0.3108.7822068150973.6466977708626
0.31109.4765500723533.37285036146144
0.32110.1111429728123.06293703617436
0.33110.6820991053002.73651577355064
0.34111.1887498460182.41260590071551
0.35111.6334061432522.10715319968825
0.36112.0207289459651.83139213185577
0.37112.3569110281271.59148647102189
0.38112.6488553949411.38892564342375
0.39112.9034858177301.22189534972980
0.4113.1272632871431.08619439506327
0.41113.3259248789980.976762206105517
0.42113.5044189966960.88920557801308
0.43113.666986847920.819998630689711
0.44113.8173327728760.767187076782936
0.45113.9588311019340.730007486411152
0.46114.0947291327850.708826668742651
0.47114.2283197692190.70531235994252
0.48114.3630699658350.721306033025205
0.49114.5027005839420.758730895661183
0.5114.6512191799210.819305755663396
0.51114.8129102144820.90440017427521
0.52114.9922883437971.01473220427546
0.53115.1940211074401.15013524999151
0.54115.4228284545771.31051955048190
0.55115.6833685193911.49423865173004
0.56115.9801214273971.69960545215925
0.57116.3172844805951.92401066993414
0.58116.6986912223272.16471725010543
0.59117.1277622716072.41864883477366
0.6117.6074871694872.68327816096687
0.61118.1404253038842.95597689029212
0.62118.7287037801773.23472976448893
0.63119.3739858101163.51723364254814
0.64120.0773896648853.80084590869830
0.65120.8393581279454.08176269612964
0.66121.6595099425384.35489839414151
0.67122.5365405443044.61384924862074
0.68123.4682667910974.85214688321016
0.69124.4519144648055.06425400015679
0.7125.4847154906245.24852820763374
0.71126.5648096774875.4086810080732
0.72127.6923416299985.55576334143038
0.73128.8705298375145.70787486624857
0.74130.1063954524235.88857961035939
0.75131.4108097494686.12110959128085
0.76132.7975803056586.42214757041721
0.77134.2814550399596.79421032078957
0.78135.8751605104517.22142115381162
0.79137.5858574795677.66780749362083
0.8139.4116246831008.08160457050685
0.81141.3387025124968.40295149537154
0.82143.3401953149718.57288345085522
0.83145.3767360412058.5430013710009
0.84147.3992930621728.28487461865226
0.85149.3539079700237.79463464608698
0.86151.1877661825477.09570049847766
0.87152.8556859306326.23664438969518
0.88154.3259268387155.28540737667454
0.89155.5842245419304.31962296850142
0.9156.6351941274523.41535713441989
0.91157.5007031375532.63558322247746
0.92158.2154006081632.02055296197906
0.93158.8201353656591.58214751123655
0.94159.3543429878271.30036691799733
0.95159.8485772490981.12604308573443
0.96160.3182960479170.994625784105371
0.97160.7598245635910.846252658970327
0.98161.1490323389470.647146886179497
0.99161.4440092740130.426381451900481

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 79.8234525545284 & 1.81555416338513 \tabularnewline
0.02 & 80.7135722108383 & 1.46703509538817 \tabularnewline
0.03 & 81.6419988769755 & 1.65492737578709 \tabularnewline
0.04 & 82.58654697868 & 2.17427432876966 \tabularnewline
0.05 & 83.5874809848096 & 2.63791161528257 \tabularnewline
0.06 & 84.6420946000554 & 2.8685090693589 \tabularnewline
0.07 & 85.7051851094553 & 2.87540094473545 \tabularnewline
0.08 & 86.7304687167552 & 2.78007678193091 \tabularnewline
0.09 & 87.7001158604131 & 2.73417397737761 \tabularnewline
0.1 & 88.629321268307 & 2.84773862073787 \tabularnewline
0.11 & 89.5540675572627 & 3.14528356092945 \tabularnewline
0.12 & 90.5139747204058 & 3.57730501528136 \tabularnewline
0.13 & 91.5383514721498 & 4.06092633837709 \tabularnewline
0.14 & 92.6387823781424 & 4.51272096219567 \tabularnewline
0.15 & 93.8082529925682 & 4.86500419296082 \tabularnewline
0.16 & 95.0251474619822 & 5.0762790619041 \tabularnewline
0.17 & 96.2599125299414 & 5.13553134327446 \tabularnewline
0.18 & 97.482258312781 & 5.06069874438981 \tabularnewline
0.19 & 98.667178220271 & 4.89172210580408 \tabularnewline
0.2 & 99.798683345997 & 4.68005792617561 \tabularnewline
0.21 & 100.870851692411 & 4.47608325712063 \tabularnewline
0.22 & 101.886458105364 & 4.31729158370960 \tabularnewline
0.23 & 102.853944707737 & 4.22031431499611 \tabularnewline
0.24 & 103.783727084298 & 4.17883943892569 \tabularnewline
0.25 & 104.684795235658 & 4.16904871739982 \tabularnewline
0.26 & 105.562317688690 & 4.15903972267743 \tabularnewline
0.27 & 106.416592824696 & 4.11846372986757 \tabularnewline
0.28 & 107.243322239716 & 4.02480687782321 \tabularnewline
0.29 & 108.034893919637 & 3.86744259109649 \tabularnewline
0.3 & 108.782206815097 & 3.6466977708626 \tabularnewline
0.31 & 109.476550072353 & 3.37285036146144 \tabularnewline
0.32 & 110.111142972812 & 3.06293703617436 \tabularnewline
0.33 & 110.682099105300 & 2.73651577355064 \tabularnewline
0.34 & 111.188749846018 & 2.41260590071551 \tabularnewline
0.35 & 111.633406143252 & 2.10715319968825 \tabularnewline
0.36 & 112.020728945965 & 1.83139213185577 \tabularnewline
0.37 & 112.356911028127 & 1.59148647102189 \tabularnewline
0.38 & 112.648855394941 & 1.38892564342375 \tabularnewline
0.39 & 112.903485817730 & 1.22189534972980 \tabularnewline
0.4 & 113.127263287143 & 1.08619439506327 \tabularnewline
0.41 & 113.325924878998 & 0.976762206105517 \tabularnewline
0.42 & 113.504418996696 & 0.88920557801308 \tabularnewline
0.43 & 113.66698684792 & 0.819998630689711 \tabularnewline
0.44 & 113.817332772876 & 0.767187076782936 \tabularnewline
0.45 & 113.958831101934 & 0.730007486411152 \tabularnewline
0.46 & 114.094729132785 & 0.708826668742651 \tabularnewline
0.47 & 114.228319769219 & 0.70531235994252 \tabularnewline
0.48 & 114.363069965835 & 0.721306033025205 \tabularnewline
0.49 & 114.502700583942 & 0.758730895661183 \tabularnewline
0.5 & 114.651219179921 & 0.819305755663396 \tabularnewline
0.51 & 114.812910214482 & 0.90440017427521 \tabularnewline
0.52 & 114.992288343797 & 1.01473220427546 \tabularnewline
0.53 & 115.194021107440 & 1.15013524999151 \tabularnewline
0.54 & 115.422828454577 & 1.31051955048190 \tabularnewline
0.55 & 115.683368519391 & 1.49423865173004 \tabularnewline
0.56 & 115.980121427397 & 1.69960545215925 \tabularnewline
0.57 & 116.317284480595 & 1.92401066993414 \tabularnewline
0.58 & 116.698691222327 & 2.16471725010543 \tabularnewline
0.59 & 117.127762271607 & 2.41864883477366 \tabularnewline
0.6 & 117.607487169487 & 2.68327816096687 \tabularnewline
0.61 & 118.140425303884 & 2.95597689029212 \tabularnewline
0.62 & 118.728703780177 & 3.23472976448893 \tabularnewline
0.63 & 119.373985810116 & 3.51723364254814 \tabularnewline
0.64 & 120.077389664885 & 3.80084590869830 \tabularnewline
0.65 & 120.839358127945 & 4.08176269612964 \tabularnewline
0.66 & 121.659509942538 & 4.35489839414151 \tabularnewline
0.67 & 122.536540544304 & 4.61384924862074 \tabularnewline
0.68 & 123.468266791097 & 4.85214688321016 \tabularnewline
0.69 & 124.451914464805 & 5.06425400015679 \tabularnewline
0.7 & 125.484715490624 & 5.24852820763374 \tabularnewline
0.71 & 126.564809677487 & 5.4086810080732 \tabularnewline
0.72 & 127.692341629998 & 5.55576334143038 \tabularnewline
0.73 & 128.870529837514 & 5.70787486624857 \tabularnewline
0.74 & 130.106395452423 & 5.88857961035939 \tabularnewline
0.75 & 131.410809749468 & 6.12110959128085 \tabularnewline
0.76 & 132.797580305658 & 6.42214757041721 \tabularnewline
0.77 & 134.281455039959 & 6.79421032078957 \tabularnewline
0.78 & 135.875160510451 & 7.22142115381162 \tabularnewline
0.79 & 137.585857479567 & 7.66780749362083 \tabularnewline
0.8 & 139.411624683100 & 8.08160457050685 \tabularnewline
0.81 & 141.338702512496 & 8.40295149537154 \tabularnewline
0.82 & 143.340195314971 & 8.57288345085522 \tabularnewline
0.83 & 145.376736041205 & 8.5430013710009 \tabularnewline
0.84 & 147.399293062172 & 8.28487461865226 \tabularnewline
0.85 & 149.353907970023 & 7.79463464608698 \tabularnewline
0.86 & 151.187766182547 & 7.09570049847766 \tabularnewline
0.87 & 152.855685930632 & 6.23664438969518 \tabularnewline
0.88 & 154.325926838715 & 5.28540737667454 \tabularnewline
0.89 & 155.584224541930 & 4.31962296850142 \tabularnewline
0.9 & 156.635194127452 & 3.41535713441989 \tabularnewline
0.91 & 157.500703137553 & 2.63558322247746 \tabularnewline
0.92 & 158.215400608163 & 2.02055296197906 \tabularnewline
0.93 & 158.820135365659 & 1.58214751123655 \tabularnewline
0.94 & 159.354342987827 & 1.30036691799733 \tabularnewline
0.95 & 159.848577249098 & 1.12604308573443 \tabularnewline
0.96 & 160.318296047917 & 0.994625784105371 \tabularnewline
0.97 & 160.759824563591 & 0.846252658970327 \tabularnewline
0.98 & 161.149032338947 & 0.647146886179497 \tabularnewline
0.99 & 161.444009274013 & 0.426381451900481 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9228&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]79.8234525545284[/C][C]1.81555416338513[/C][/ROW]
[ROW][C]0.02[/C][C]80.7135722108383[/C][C]1.46703509538817[/C][/ROW]
[ROW][C]0.03[/C][C]81.6419988769755[/C][C]1.65492737578709[/C][/ROW]
[ROW][C]0.04[/C][C]82.58654697868[/C][C]2.17427432876966[/C][/ROW]
[ROW][C]0.05[/C][C]83.5874809848096[/C][C]2.63791161528257[/C][/ROW]
[ROW][C]0.06[/C][C]84.6420946000554[/C][C]2.8685090693589[/C][/ROW]
[ROW][C]0.07[/C][C]85.7051851094553[/C][C]2.87540094473545[/C][/ROW]
[ROW][C]0.08[/C][C]86.7304687167552[/C][C]2.78007678193091[/C][/ROW]
[ROW][C]0.09[/C][C]87.7001158604131[/C][C]2.73417397737761[/C][/ROW]
[ROW][C]0.1[/C][C]88.629321268307[/C][C]2.84773862073787[/C][/ROW]
[ROW][C]0.11[/C][C]89.5540675572627[/C][C]3.14528356092945[/C][/ROW]
[ROW][C]0.12[/C][C]90.5139747204058[/C][C]3.57730501528136[/C][/ROW]
[ROW][C]0.13[/C][C]91.5383514721498[/C][C]4.06092633837709[/C][/ROW]
[ROW][C]0.14[/C][C]92.6387823781424[/C][C]4.51272096219567[/C][/ROW]
[ROW][C]0.15[/C][C]93.8082529925682[/C][C]4.86500419296082[/C][/ROW]
[ROW][C]0.16[/C][C]95.0251474619822[/C][C]5.0762790619041[/C][/ROW]
[ROW][C]0.17[/C][C]96.2599125299414[/C][C]5.13553134327446[/C][/ROW]
[ROW][C]0.18[/C][C]97.482258312781[/C][C]5.06069874438981[/C][/ROW]
[ROW][C]0.19[/C][C]98.667178220271[/C][C]4.89172210580408[/C][/ROW]
[ROW][C]0.2[/C][C]99.798683345997[/C][C]4.68005792617561[/C][/ROW]
[ROW][C]0.21[/C][C]100.870851692411[/C][C]4.47608325712063[/C][/ROW]
[ROW][C]0.22[/C][C]101.886458105364[/C][C]4.31729158370960[/C][/ROW]
[ROW][C]0.23[/C][C]102.853944707737[/C][C]4.22031431499611[/C][/ROW]
[ROW][C]0.24[/C][C]103.783727084298[/C][C]4.17883943892569[/C][/ROW]
[ROW][C]0.25[/C][C]104.684795235658[/C][C]4.16904871739982[/C][/ROW]
[ROW][C]0.26[/C][C]105.562317688690[/C][C]4.15903972267743[/C][/ROW]
[ROW][C]0.27[/C][C]106.416592824696[/C][C]4.11846372986757[/C][/ROW]
[ROW][C]0.28[/C][C]107.243322239716[/C][C]4.02480687782321[/C][/ROW]
[ROW][C]0.29[/C][C]108.034893919637[/C][C]3.86744259109649[/C][/ROW]
[ROW][C]0.3[/C][C]108.782206815097[/C][C]3.6466977708626[/C][/ROW]
[ROW][C]0.31[/C][C]109.476550072353[/C][C]3.37285036146144[/C][/ROW]
[ROW][C]0.32[/C][C]110.111142972812[/C][C]3.06293703617436[/C][/ROW]
[ROW][C]0.33[/C][C]110.682099105300[/C][C]2.73651577355064[/C][/ROW]
[ROW][C]0.34[/C][C]111.188749846018[/C][C]2.41260590071551[/C][/ROW]
[ROW][C]0.35[/C][C]111.633406143252[/C][C]2.10715319968825[/C][/ROW]
[ROW][C]0.36[/C][C]112.020728945965[/C][C]1.83139213185577[/C][/ROW]
[ROW][C]0.37[/C][C]112.356911028127[/C][C]1.59148647102189[/C][/ROW]
[ROW][C]0.38[/C][C]112.648855394941[/C][C]1.38892564342375[/C][/ROW]
[ROW][C]0.39[/C][C]112.903485817730[/C][C]1.22189534972980[/C][/ROW]
[ROW][C]0.4[/C][C]113.127263287143[/C][C]1.08619439506327[/C][/ROW]
[ROW][C]0.41[/C][C]113.325924878998[/C][C]0.976762206105517[/C][/ROW]
[ROW][C]0.42[/C][C]113.504418996696[/C][C]0.88920557801308[/C][/ROW]
[ROW][C]0.43[/C][C]113.66698684792[/C][C]0.819998630689711[/C][/ROW]
[ROW][C]0.44[/C][C]113.817332772876[/C][C]0.767187076782936[/C][/ROW]
[ROW][C]0.45[/C][C]113.958831101934[/C][C]0.730007486411152[/C][/ROW]
[ROW][C]0.46[/C][C]114.094729132785[/C][C]0.708826668742651[/C][/ROW]
[ROW][C]0.47[/C][C]114.228319769219[/C][C]0.70531235994252[/C][/ROW]
[ROW][C]0.48[/C][C]114.363069965835[/C][C]0.721306033025205[/C][/ROW]
[ROW][C]0.49[/C][C]114.502700583942[/C][C]0.758730895661183[/C][/ROW]
[ROW][C]0.5[/C][C]114.651219179921[/C][C]0.819305755663396[/C][/ROW]
[ROW][C]0.51[/C][C]114.812910214482[/C][C]0.90440017427521[/C][/ROW]
[ROW][C]0.52[/C][C]114.992288343797[/C][C]1.01473220427546[/C][/ROW]
[ROW][C]0.53[/C][C]115.194021107440[/C][C]1.15013524999151[/C][/ROW]
[ROW][C]0.54[/C][C]115.422828454577[/C][C]1.31051955048190[/C][/ROW]
[ROW][C]0.55[/C][C]115.683368519391[/C][C]1.49423865173004[/C][/ROW]
[ROW][C]0.56[/C][C]115.980121427397[/C][C]1.69960545215925[/C][/ROW]
[ROW][C]0.57[/C][C]116.317284480595[/C][C]1.92401066993414[/C][/ROW]
[ROW][C]0.58[/C][C]116.698691222327[/C][C]2.16471725010543[/C][/ROW]
[ROW][C]0.59[/C][C]117.127762271607[/C][C]2.41864883477366[/C][/ROW]
[ROW][C]0.6[/C][C]117.607487169487[/C][C]2.68327816096687[/C][/ROW]
[ROW][C]0.61[/C][C]118.140425303884[/C][C]2.95597689029212[/C][/ROW]
[ROW][C]0.62[/C][C]118.728703780177[/C][C]3.23472976448893[/C][/ROW]
[ROW][C]0.63[/C][C]119.373985810116[/C][C]3.51723364254814[/C][/ROW]
[ROW][C]0.64[/C][C]120.077389664885[/C][C]3.80084590869830[/C][/ROW]
[ROW][C]0.65[/C][C]120.839358127945[/C][C]4.08176269612964[/C][/ROW]
[ROW][C]0.66[/C][C]121.659509942538[/C][C]4.35489839414151[/C][/ROW]
[ROW][C]0.67[/C][C]122.536540544304[/C][C]4.61384924862074[/C][/ROW]
[ROW][C]0.68[/C][C]123.468266791097[/C][C]4.85214688321016[/C][/ROW]
[ROW][C]0.69[/C][C]124.451914464805[/C][C]5.06425400015679[/C][/ROW]
[ROW][C]0.7[/C][C]125.484715490624[/C][C]5.24852820763374[/C][/ROW]
[ROW][C]0.71[/C][C]126.564809677487[/C][C]5.4086810080732[/C][/ROW]
[ROW][C]0.72[/C][C]127.692341629998[/C][C]5.55576334143038[/C][/ROW]
[ROW][C]0.73[/C][C]128.870529837514[/C][C]5.70787486624857[/C][/ROW]
[ROW][C]0.74[/C][C]130.106395452423[/C][C]5.88857961035939[/C][/ROW]
[ROW][C]0.75[/C][C]131.410809749468[/C][C]6.12110959128085[/C][/ROW]
[ROW][C]0.76[/C][C]132.797580305658[/C][C]6.42214757041721[/C][/ROW]
[ROW][C]0.77[/C][C]134.281455039959[/C][C]6.79421032078957[/C][/ROW]
[ROW][C]0.78[/C][C]135.875160510451[/C][C]7.22142115381162[/C][/ROW]
[ROW][C]0.79[/C][C]137.585857479567[/C][C]7.66780749362083[/C][/ROW]
[ROW][C]0.8[/C][C]139.411624683100[/C][C]8.08160457050685[/C][/ROW]
[ROW][C]0.81[/C][C]141.338702512496[/C][C]8.40295149537154[/C][/ROW]
[ROW][C]0.82[/C][C]143.340195314971[/C][C]8.57288345085522[/C][/ROW]
[ROW][C]0.83[/C][C]145.376736041205[/C][C]8.5430013710009[/C][/ROW]
[ROW][C]0.84[/C][C]147.399293062172[/C][C]8.28487461865226[/C][/ROW]
[ROW][C]0.85[/C][C]149.353907970023[/C][C]7.79463464608698[/C][/ROW]
[ROW][C]0.86[/C][C]151.187766182547[/C][C]7.09570049847766[/C][/ROW]
[ROW][C]0.87[/C][C]152.855685930632[/C][C]6.23664438969518[/C][/ROW]
[ROW][C]0.88[/C][C]154.325926838715[/C][C]5.28540737667454[/C][/ROW]
[ROW][C]0.89[/C][C]155.584224541930[/C][C]4.31962296850142[/C][/ROW]
[ROW][C]0.9[/C][C]156.635194127452[/C][C]3.41535713441989[/C][/ROW]
[ROW][C]0.91[/C][C]157.500703137553[/C][C]2.63558322247746[/C][/ROW]
[ROW][C]0.92[/C][C]158.215400608163[/C][C]2.02055296197906[/C][/ROW]
[ROW][C]0.93[/C][C]158.820135365659[/C][C]1.58214751123655[/C][/ROW]
[ROW][C]0.94[/C][C]159.354342987827[/C][C]1.30036691799733[/C][/ROW]
[ROW][C]0.95[/C][C]159.848577249098[/C][C]1.12604308573443[/C][/ROW]
[ROW][C]0.96[/C][C]160.318296047917[/C][C]0.994625784105371[/C][/ROW]
[ROW][C]0.97[/C][C]160.759824563591[/C][C]0.846252658970327[/C][/ROW]
[ROW][C]0.98[/C][C]161.149032338947[/C][C]0.647146886179497[/C][/ROW]
[ROW][C]0.99[/C][C]161.444009274013[/C][C]0.426381451900481[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9228&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9228&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
0.0179.82345255452841.81555416338513
0.0280.71357221083831.46703509538817
0.0381.64199887697551.65492737578709
0.0482.586546978682.17427432876966
0.0583.58748098480962.63791161528257
0.0684.64209460005542.8685090693589
0.0785.70518510945532.87540094473545
0.0886.73046871675522.78007678193091
0.0987.70011586041312.73417397737761
0.188.6293212683072.84773862073787
0.1189.55406755726273.14528356092945
0.1290.51397472040583.57730501528136
0.1391.53835147214984.06092633837709
0.1492.63878237814244.51272096219567
0.1593.80825299256824.86500419296082
0.1695.02514746198225.0762790619041
0.1796.25991252994145.13553134327446
0.1897.4822583127815.06069874438981
0.1998.6671782202714.89172210580408
0.299.7986833459974.68005792617561
0.21100.8708516924114.47608325712063
0.22101.8864581053644.31729158370960
0.23102.8539447077374.22031431499611
0.24103.7837270842984.17883943892569
0.25104.6847952356584.16904871739982
0.26105.5623176886904.15903972267743
0.27106.4165928246964.11846372986757
0.28107.2433222397164.02480687782321
0.29108.0348939196373.86744259109649
0.3108.7822068150973.6466977708626
0.31109.4765500723533.37285036146144
0.32110.1111429728123.06293703617436
0.33110.6820991053002.73651577355064
0.34111.1887498460182.41260590071551
0.35111.6334061432522.10715319968825
0.36112.0207289459651.83139213185577
0.37112.3569110281271.59148647102189
0.38112.6488553949411.38892564342375
0.39112.9034858177301.22189534972980
0.4113.1272632871431.08619439506327
0.41113.3259248789980.976762206105517
0.42113.5044189966960.88920557801308
0.43113.666986847920.819998630689711
0.44113.8173327728760.767187076782936
0.45113.9588311019340.730007486411152
0.46114.0947291327850.708826668742651
0.47114.2283197692190.70531235994252
0.48114.3630699658350.721306033025205
0.49114.5027005839420.758730895661183
0.5114.6512191799210.819305755663396
0.51114.8129102144820.90440017427521
0.52114.9922883437971.01473220427546
0.53115.1940211074401.15013524999151
0.54115.4228284545771.31051955048190
0.55115.6833685193911.49423865173004
0.56115.9801214273971.69960545215925
0.57116.3172844805951.92401066993414
0.58116.6986912223272.16471725010543
0.59117.1277622716072.41864883477366
0.6117.6074871694872.68327816096687
0.61118.1404253038842.95597689029212
0.62118.7287037801773.23472976448893
0.63119.3739858101163.51723364254814
0.64120.0773896648853.80084590869830
0.65120.8393581279454.08176269612964
0.66121.6595099425384.35489839414151
0.67122.5365405443044.61384924862074
0.68123.4682667910974.85214688321016
0.69124.4519144648055.06425400015679
0.7125.4847154906245.24852820763374
0.71126.5648096774875.4086810080732
0.72127.6923416299985.55576334143038
0.73128.8705298375145.70787486624857
0.74130.1063954524235.88857961035939
0.75131.4108097494686.12110959128085
0.76132.7975803056586.42214757041721
0.77134.2814550399596.79421032078957
0.78135.8751605104517.22142115381162
0.79137.5858574795677.66780749362083
0.8139.4116246831008.08160457050685
0.81141.3387025124968.40295149537154
0.82143.3401953149718.57288345085522
0.83145.3767360412058.5430013710009
0.84147.3992930621728.28487461865226
0.85149.3539079700237.79463464608698
0.86151.1877661825477.09570049847766
0.87152.8556859306326.23664438969518
0.88154.3259268387155.28540737667454
0.89155.5842245419304.31962296850142
0.9156.6351941274523.41535713441989
0.91157.5007031375532.63558322247746
0.92158.2154006081632.02055296197906
0.93158.8201353656591.58214751123655
0.94159.3543429878271.30036691799733
0.95159.8485772490981.12604308573443
0.96160.3182960479170.994625784105371
0.97160.7598245635910.846252658970327
0.98161.1490323389470.647146886179497
0.99161.4440092740130.426381451900481


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')