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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, 09 Feb 2015 10:42:15 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Feb/09/t14234785942nolv9o35o4c89a.htm/, Retrieved Sat, 18 May 2024 03:58:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=276863, Retrieved Sat, 18 May 2024 03:58:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact99

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] [] [2015-02-09 10:42:15] [9d11e60232d68c92754922ab1f7d0739] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
167.8
166.2
156
149.3
147.4
144.3
143.5
142.6
137.8
137.6
137.2
137
137
136.7
136.3
135.1
134.6
133.8
133.7
133.5
133.4
133.3
133.3
133.3
132
131.4
130.9
129.9
129.5
129.3
128.7
128
127.9
127.3
127
126.2
126
125.5
124.6
123.6
122.3
118
117.4
115.7
114.7
114.7
113.7
112.8
106.8
106.7
103.9
103.3
100.2
98
97.6
96.9
96.3
96.2
95.7
94.7
94.6
94.3
94.2
93.6
93
91.5
90.7
90.7
90.4
88.8
87.6
86.8
86.3
86.3
86.3
86.1
82.4
82.3
81.8
78.7
78.2
77.3
77.1
76.6
75.7
73.8
73.7
73
72.7
67.5
67.5
63.3
59.1
54.6
52.9
52.4

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' @ 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276863&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276863&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276863&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' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0153.08439105560531.59658873260484
0.0254.74756711679633.46781054111077
0.0357.24901280944234.98786398615521
0.0460.19255822088915.69863387991431
0.0563.16031691024665.69714431029715
0.0665.86990085838435.27898843891086
0.0768.19940547635614.69311249853808
0.0870.1389680864514.0876105792855
0.0971.73636985263323.54941441346437
0.173.06207123181343.13740725330385
0.1174.19077839855282.88183869076005
0.1275.1914691317812.77967069308642
0.1376.12177103361772.8054341439478
0.1477.02544068379162.92519924834849
0.1577.93201653365263.10211382706885
0.1678.85759685318883.29692125573328
0.1779.8062036164193.47021284311361
0.1880.77186178387183.58980337792551
0.1981.74166604188363.63688253393293
0.282.69967709185243.60934408311519
0.2183.63093755508243.52123526730414
0.2284.52466470623293.39763515711499
0.2385.37589718877423.26656610853401
0.2486.1853904822273.15145079421784
0.2586.95810180444773.06591508526197
0.2687.70095862372323.0110231962365
0.2788.42067421576032.97837971872291
0.2889.12219610453952.95551981737377
0.2989.80806607748192.92966135941902
0.390.47866564439532.89331321661926
0.3191.13311153126232.84405044589436
0.3291.77048303622992.78594366446444
0.3392.39108376403472.72879638052323
0.3492.99751508740512.68686196639176
0.3593.59542136096512.67768598530482
0.3694.1938313339792.7198381700999
0.3794.80506226390462.83074903439224
0.3895.4441824663023.02385127935807
0.3996.12805709918453.30534374423067
0.496.87403925505023.67358676649392
0.4197.69841505877854.11708175572641
0.4298.61476141611114.61735646782898
0.4399.63241675540955.14822627504559
0.44100.7552840983175.68021376558461
0.45101.9811685689286.18112003382537
0.46103.3017902325546.62231229383453
0.47104.7035105445256.97930723983771
0.48106.1686822944687.23692156790362
0.49107.6774062402037.38902252420728
0.5109.2093862901247.43976550079034
0.51110.7455493562227.40033770712717
0.52112.2691517578667.28666051310064
0.53113.7662244217457.11504714524121
0.54115.2253825322276.89843084145963
0.55116.6371925683926.64465752376965
0.56117.9933991466556.35645147366188
0.57119.2863299306686.0331937197867
0.58120.5087133624055.67433094657769
0.59121.6539891996735.28219980767738
0.6122.7170182194154.86469306150444
0.61123.6949623280684.43500205680651
0.62124.5880507959844.01026157268399
0.63125.3999831149893.60929127253985
0.64126.137823200163.24948759131541
0.65126.8113723106072.94378122269239
0.66127.4321261505342.69901141784161
0.67128.0119964954432.51487242541596
0.68128.562002712292.38373094327396
0.69129.0911256269862.29284113499347
0.7129.6054844599172.2259289790307
0.71130.1079605083762.16657881421518
0.72130.5983493191442.10005967508385
0.73131.0740653159852.01564996727881
0.74131.5313370661111.91004025726774
0.75131.9667176494561.78614140631007
0.76132.3786146893811.65461979840574
0.77132.7684614570681.53098198819483
0.78133.1411559009971.43273605648898
0.79133.5045284455491.37377937063505
0.8133.8678679390071.35917175649334
0.81134.2398943184661.38125740666962
0.82134.6269183028231.42247941889456
0.83135.0321303933261.46332804471699
0.84135.4568538158881.49144062207481
0.85135.9040515400811.51132705762035
0.86136.3833874021421.55041983762827
0.87136.9159420287951.6568859450409
0.88137.5358778009881.87964911900496
0.89138.286857304872.23447238092392
0.9139.2136437163382.68528698382273
0.91140.3538193908943.15963274527473
0.92141.7388835623423.59324690719409
0.93143.4144055216133.9911516886386
0.94145.4808712533924.47646924908461
0.95148.1342230206215.26795216301416
0.96151.6409594870056.48496279405355
0.97156.1368831256057.71942330114863
0.98161.2101299641237.64167177838605
0.99165.6003501832144.88819774178298

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 53.0843910556053 & 1.59658873260484 \tabularnewline
0.02 & 54.7475671167963 & 3.46781054111077 \tabularnewline
0.03 & 57.2490128094423 & 4.98786398615521 \tabularnewline
0.04 & 60.1925582208891 & 5.69863387991431 \tabularnewline
0.05 & 63.1603169102466 & 5.69714431029715 \tabularnewline
0.06 & 65.8699008583843 & 5.27898843891086 \tabularnewline
0.07 & 68.1994054763561 & 4.69311249853808 \tabularnewline
0.08 & 70.138968086451 & 4.0876105792855 \tabularnewline
0.09 & 71.7363698526332 & 3.54941441346437 \tabularnewline
0.1 & 73.0620712318134 & 3.13740725330385 \tabularnewline
0.11 & 74.1907783985528 & 2.88183869076005 \tabularnewline
0.12 & 75.191469131781 & 2.77967069308642 \tabularnewline
0.13 & 76.1217710336177 & 2.8054341439478 \tabularnewline
0.14 & 77.0254406837916 & 2.92519924834849 \tabularnewline
0.15 & 77.9320165336526 & 3.10211382706885 \tabularnewline
0.16 & 78.8575968531888 & 3.29692125573328 \tabularnewline
0.17 & 79.806203616419 & 3.47021284311361 \tabularnewline
0.18 & 80.7718617838718 & 3.58980337792551 \tabularnewline
0.19 & 81.7416660418836 & 3.63688253393293 \tabularnewline
0.2 & 82.6996770918524 & 3.60934408311519 \tabularnewline
0.21 & 83.6309375550824 & 3.52123526730414 \tabularnewline
0.22 & 84.5246647062329 & 3.39763515711499 \tabularnewline
0.23 & 85.3758971887742 & 3.26656610853401 \tabularnewline
0.24 & 86.185390482227 & 3.15145079421784 \tabularnewline
0.25 & 86.9581018044477 & 3.06591508526197 \tabularnewline
0.26 & 87.7009586237232 & 3.0110231962365 \tabularnewline
0.27 & 88.4206742157603 & 2.97837971872291 \tabularnewline
0.28 & 89.1221961045395 & 2.95551981737377 \tabularnewline
0.29 & 89.8080660774819 & 2.92966135941902 \tabularnewline
0.3 & 90.4786656443953 & 2.89331321661926 \tabularnewline
0.31 & 91.1331115312623 & 2.84405044589436 \tabularnewline
0.32 & 91.7704830362299 & 2.78594366446444 \tabularnewline
0.33 & 92.3910837640347 & 2.72879638052323 \tabularnewline
0.34 & 92.9975150874051 & 2.68686196639176 \tabularnewline
0.35 & 93.5954213609651 & 2.67768598530482 \tabularnewline
0.36 & 94.193831333979 & 2.7198381700999 \tabularnewline
0.37 & 94.8050622639046 & 2.83074903439224 \tabularnewline
0.38 & 95.444182466302 & 3.02385127935807 \tabularnewline
0.39 & 96.1280570991845 & 3.30534374423067 \tabularnewline
0.4 & 96.8740392550502 & 3.67358676649392 \tabularnewline
0.41 & 97.6984150587785 & 4.11708175572641 \tabularnewline
0.42 & 98.6147614161111 & 4.61735646782898 \tabularnewline
0.43 & 99.6324167554095 & 5.14822627504559 \tabularnewline
0.44 & 100.755284098317 & 5.68021376558461 \tabularnewline
0.45 & 101.981168568928 & 6.18112003382537 \tabularnewline
0.46 & 103.301790232554 & 6.62231229383453 \tabularnewline
0.47 & 104.703510544525 & 6.97930723983771 \tabularnewline
0.48 & 106.168682294468 & 7.23692156790362 \tabularnewline
0.49 & 107.677406240203 & 7.38902252420728 \tabularnewline
0.5 & 109.209386290124 & 7.43976550079034 \tabularnewline
0.51 & 110.745549356222 & 7.40033770712717 \tabularnewline
0.52 & 112.269151757866 & 7.28666051310064 \tabularnewline
0.53 & 113.766224421745 & 7.11504714524121 \tabularnewline
0.54 & 115.225382532227 & 6.89843084145963 \tabularnewline
0.55 & 116.637192568392 & 6.64465752376965 \tabularnewline
0.56 & 117.993399146655 & 6.35645147366188 \tabularnewline
0.57 & 119.286329930668 & 6.0331937197867 \tabularnewline
0.58 & 120.508713362405 & 5.67433094657769 \tabularnewline
0.59 & 121.653989199673 & 5.28219980767738 \tabularnewline
0.6 & 122.717018219415 & 4.86469306150444 \tabularnewline
0.61 & 123.694962328068 & 4.43500205680651 \tabularnewline
0.62 & 124.588050795984 & 4.01026157268399 \tabularnewline
0.63 & 125.399983114989 & 3.60929127253985 \tabularnewline
0.64 & 126.13782320016 & 3.24948759131541 \tabularnewline
0.65 & 126.811372310607 & 2.94378122269239 \tabularnewline
0.66 & 127.432126150534 & 2.69901141784161 \tabularnewline
0.67 & 128.011996495443 & 2.51487242541596 \tabularnewline
0.68 & 128.56200271229 & 2.38373094327396 \tabularnewline
0.69 & 129.091125626986 & 2.29284113499347 \tabularnewline
0.7 & 129.605484459917 & 2.2259289790307 \tabularnewline
0.71 & 130.107960508376 & 2.16657881421518 \tabularnewline
0.72 & 130.598349319144 & 2.10005967508385 \tabularnewline
0.73 & 131.074065315985 & 2.01564996727881 \tabularnewline
0.74 & 131.531337066111 & 1.91004025726774 \tabularnewline
0.75 & 131.966717649456 & 1.78614140631007 \tabularnewline
0.76 & 132.378614689381 & 1.65461979840574 \tabularnewline
0.77 & 132.768461457068 & 1.53098198819483 \tabularnewline
0.78 & 133.141155900997 & 1.43273605648898 \tabularnewline
0.79 & 133.504528445549 & 1.37377937063505 \tabularnewline
0.8 & 133.867867939007 & 1.35917175649334 \tabularnewline
0.81 & 134.239894318466 & 1.38125740666962 \tabularnewline
0.82 & 134.626918302823 & 1.42247941889456 \tabularnewline
0.83 & 135.032130393326 & 1.46332804471699 \tabularnewline
0.84 & 135.456853815888 & 1.49144062207481 \tabularnewline
0.85 & 135.904051540081 & 1.51132705762035 \tabularnewline
0.86 & 136.383387402142 & 1.55041983762827 \tabularnewline
0.87 & 136.915942028795 & 1.6568859450409 \tabularnewline
0.88 & 137.535877800988 & 1.87964911900496 \tabularnewline
0.89 & 138.28685730487 & 2.23447238092392 \tabularnewline
0.9 & 139.213643716338 & 2.68528698382273 \tabularnewline
0.91 & 140.353819390894 & 3.15963274527473 \tabularnewline
0.92 & 141.738883562342 & 3.59324690719409 \tabularnewline
0.93 & 143.414405521613 & 3.9911516886386 \tabularnewline
0.94 & 145.480871253392 & 4.47646924908461 \tabularnewline
0.95 & 148.134223020621 & 5.26795216301416 \tabularnewline
0.96 & 151.640959487005 & 6.48496279405355 \tabularnewline
0.97 & 156.136883125605 & 7.71942330114863 \tabularnewline
0.98 & 161.210129964123 & 7.64167177838605 \tabularnewline
0.99 & 165.600350183214 & 4.88819774178298 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276863&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]53.0843910556053[/C][C]1.59658873260484[/C][/ROW]
[ROW][C]0.02[/C][C]54.7475671167963[/C][C]3.46781054111077[/C][/ROW]
[ROW][C]0.03[/C][C]57.2490128094423[/C][C]4.98786398615521[/C][/ROW]
[ROW][C]0.04[/C][C]60.1925582208891[/C][C]5.69863387991431[/C][/ROW]
[ROW][C]0.05[/C][C]63.1603169102466[/C][C]5.69714431029715[/C][/ROW]
[ROW][C]0.06[/C][C]65.8699008583843[/C][C]5.27898843891086[/C][/ROW]
[ROW][C]0.07[/C][C]68.1994054763561[/C][C]4.69311249853808[/C][/ROW]
[ROW][C]0.08[/C][C]70.138968086451[/C][C]4.0876105792855[/C][/ROW]
[ROW][C]0.09[/C][C]71.7363698526332[/C][C]3.54941441346437[/C][/ROW]
[ROW][C]0.1[/C][C]73.0620712318134[/C][C]3.13740725330385[/C][/ROW]
[ROW][C]0.11[/C][C]74.1907783985528[/C][C]2.88183869076005[/C][/ROW]
[ROW][C]0.12[/C][C]75.191469131781[/C][C]2.77967069308642[/C][/ROW]
[ROW][C]0.13[/C][C]76.1217710336177[/C][C]2.8054341439478[/C][/ROW]
[ROW][C]0.14[/C][C]77.0254406837916[/C][C]2.92519924834849[/C][/ROW]
[ROW][C]0.15[/C][C]77.9320165336526[/C][C]3.10211382706885[/C][/ROW]
[ROW][C]0.16[/C][C]78.8575968531888[/C][C]3.29692125573328[/C][/ROW]
[ROW][C]0.17[/C][C]79.806203616419[/C][C]3.47021284311361[/C][/ROW]
[ROW][C]0.18[/C][C]80.7718617838718[/C][C]3.58980337792551[/C][/ROW]
[ROW][C]0.19[/C][C]81.7416660418836[/C][C]3.63688253393293[/C][/ROW]
[ROW][C]0.2[/C][C]82.6996770918524[/C][C]3.60934408311519[/C][/ROW]
[ROW][C]0.21[/C][C]83.6309375550824[/C][C]3.52123526730414[/C][/ROW]
[ROW][C]0.22[/C][C]84.5246647062329[/C][C]3.39763515711499[/C][/ROW]
[ROW][C]0.23[/C][C]85.3758971887742[/C][C]3.26656610853401[/C][/ROW]
[ROW][C]0.24[/C][C]86.185390482227[/C][C]3.15145079421784[/C][/ROW]
[ROW][C]0.25[/C][C]86.9581018044477[/C][C]3.06591508526197[/C][/ROW]
[ROW][C]0.26[/C][C]87.7009586237232[/C][C]3.0110231962365[/C][/ROW]
[ROW][C]0.27[/C][C]88.4206742157603[/C][C]2.97837971872291[/C][/ROW]
[ROW][C]0.28[/C][C]89.1221961045395[/C][C]2.95551981737377[/C][/ROW]
[ROW][C]0.29[/C][C]89.8080660774819[/C][C]2.92966135941902[/C][/ROW]
[ROW][C]0.3[/C][C]90.4786656443953[/C][C]2.89331321661926[/C][/ROW]
[ROW][C]0.31[/C][C]91.1331115312623[/C][C]2.84405044589436[/C][/ROW]
[ROW][C]0.32[/C][C]91.7704830362299[/C][C]2.78594366446444[/C][/ROW]
[ROW][C]0.33[/C][C]92.3910837640347[/C][C]2.72879638052323[/C][/ROW]
[ROW][C]0.34[/C][C]92.9975150874051[/C][C]2.68686196639176[/C][/ROW]
[ROW][C]0.35[/C][C]93.5954213609651[/C][C]2.67768598530482[/C][/ROW]
[ROW][C]0.36[/C][C]94.193831333979[/C][C]2.7198381700999[/C][/ROW]
[ROW][C]0.37[/C][C]94.8050622639046[/C][C]2.83074903439224[/C][/ROW]
[ROW][C]0.38[/C][C]95.444182466302[/C][C]3.02385127935807[/C][/ROW]
[ROW][C]0.39[/C][C]96.1280570991845[/C][C]3.30534374423067[/C][/ROW]
[ROW][C]0.4[/C][C]96.8740392550502[/C][C]3.67358676649392[/C][/ROW]
[ROW][C]0.41[/C][C]97.6984150587785[/C][C]4.11708175572641[/C][/ROW]
[ROW][C]0.42[/C][C]98.6147614161111[/C][C]4.61735646782898[/C][/ROW]
[ROW][C]0.43[/C][C]99.6324167554095[/C][C]5.14822627504559[/C][/ROW]
[ROW][C]0.44[/C][C]100.755284098317[/C][C]5.68021376558461[/C][/ROW]
[ROW][C]0.45[/C][C]101.981168568928[/C][C]6.18112003382537[/C][/ROW]
[ROW][C]0.46[/C][C]103.301790232554[/C][C]6.62231229383453[/C][/ROW]
[ROW][C]0.47[/C][C]104.703510544525[/C][C]6.97930723983771[/C][/ROW]
[ROW][C]0.48[/C][C]106.168682294468[/C][C]7.23692156790362[/C][/ROW]
[ROW][C]0.49[/C][C]107.677406240203[/C][C]7.38902252420728[/C][/ROW]
[ROW][C]0.5[/C][C]109.209386290124[/C][C]7.43976550079034[/C][/ROW]
[ROW][C]0.51[/C][C]110.745549356222[/C][C]7.40033770712717[/C][/ROW]
[ROW][C]0.52[/C][C]112.269151757866[/C][C]7.28666051310064[/C][/ROW]
[ROW][C]0.53[/C][C]113.766224421745[/C][C]7.11504714524121[/C][/ROW]
[ROW][C]0.54[/C][C]115.225382532227[/C][C]6.89843084145963[/C][/ROW]
[ROW][C]0.55[/C][C]116.637192568392[/C][C]6.64465752376965[/C][/ROW]
[ROW][C]0.56[/C][C]117.993399146655[/C][C]6.35645147366188[/C][/ROW]
[ROW][C]0.57[/C][C]119.286329930668[/C][C]6.0331937197867[/C][/ROW]
[ROW][C]0.58[/C][C]120.508713362405[/C][C]5.67433094657769[/C][/ROW]
[ROW][C]0.59[/C][C]121.653989199673[/C][C]5.28219980767738[/C][/ROW]
[ROW][C]0.6[/C][C]122.717018219415[/C][C]4.86469306150444[/C][/ROW]
[ROW][C]0.61[/C][C]123.694962328068[/C][C]4.43500205680651[/C][/ROW]
[ROW][C]0.62[/C][C]124.588050795984[/C][C]4.01026157268399[/C][/ROW]
[ROW][C]0.63[/C][C]125.399983114989[/C][C]3.60929127253985[/C][/ROW]
[ROW][C]0.64[/C][C]126.13782320016[/C][C]3.24948759131541[/C][/ROW]
[ROW][C]0.65[/C][C]126.811372310607[/C][C]2.94378122269239[/C][/ROW]
[ROW][C]0.66[/C][C]127.432126150534[/C][C]2.69901141784161[/C][/ROW]
[ROW][C]0.67[/C][C]128.011996495443[/C][C]2.51487242541596[/C][/ROW]
[ROW][C]0.68[/C][C]128.56200271229[/C][C]2.38373094327396[/C][/ROW]
[ROW][C]0.69[/C][C]129.091125626986[/C][C]2.29284113499347[/C][/ROW]
[ROW][C]0.7[/C][C]129.605484459917[/C][C]2.2259289790307[/C][/ROW]
[ROW][C]0.71[/C][C]130.107960508376[/C][C]2.16657881421518[/C][/ROW]
[ROW][C]0.72[/C][C]130.598349319144[/C][C]2.10005967508385[/C][/ROW]
[ROW][C]0.73[/C][C]131.074065315985[/C][C]2.01564996727881[/C][/ROW]
[ROW][C]0.74[/C][C]131.531337066111[/C][C]1.91004025726774[/C][/ROW]
[ROW][C]0.75[/C][C]131.966717649456[/C][C]1.78614140631007[/C][/ROW]
[ROW][C]0.76[/C][C]132.378614689381[/C][C]1.65461979840574[/C][/ROW]
[ROW][C]0.77[/C][C]132.768461457068[/C][C]1.53098198819483[/C][/ROW]
[ROW][C]0.78[/C][C]133.141155900997[/C][C]1.43273605648898[/C][/ROW]
[ROW][C]0.79[/C][C]133.504528445549[/C][C]1.37377937063505[/C][/ROW]
[ROW][C]0.8[/C][C]133.867867939007[/C][C]1.35917175649334[/C][/ROW]
[ROW][C]0.81[/C][C]134.239894318466[/C][C]1.38125740666962[/C][/ROW]
[ROW][C]0.82[/C][C]134.626918302823[/C][C]1.42247941889456[/C][/ROW]
[ROW][C]0.83[/C][C]135.032130393326[/C][C]1.46332804471699[/C][/ROW]
[ROW][C]0.84[/C][C]135.456853815888[/C][C]1.49144062207481[/C][/ROW]
[ROW][C]0.85[/C][C]135.904051540081[/C][C]1.51132705762035[/C][/ROW]
[ROW][C]0.86[/C][C]136.383387402142[/C][C]1.55041983762827[/C][/ROW]
[ROW][C]0.87[/C][C]136.915942028795[/C][C]1.6568859450409[/C][/ROW]
[ROW][C]0.88[/C][C]137.535877800988[/C][C]1.87964911900496[/C][/ROW]
[ROW][C]0.89[/C][C]138.28685730487[/C][C]2.23447238092392[/C][/ROW]
[ROW][C]0.9[/C][C]139.213643716338[/C][C]2.68528698382273[/C][/ROW]
[ROW][C]0.91[/C][C]140.353819390894[/C][C]3.15963274527473[/C][/ROW]
[ROW][C]0.92[/C][C]141.738883562342[/C][C]3.59324690719409[/C][/ROW]
[ROW][C]0.93[/C][C]143.414405521613[/C][C]3.9911516886386[/C][/ROW]
[ROW][C]0.94[/C][C]145.480871253392[/C][C]4.47646924908461[/C][/ROW]
[ROW][C]0.95[/C][C]148.134223020621[/C][C]5.26795216301416[/C][/ROW]
[ROW][C]0.96[/C][C]151.640959487005[/C][C]6.48496279405355[/C][/ROW]
[ROW][C]0.97[/C][C]156.136883125605[/C][C]7.71942330114863[/C][/ROW]
[ROW][C]0.98[/C][C]161.210129964123[/C][C]7.64167177838605[/C][/ROW]
[ROW][C]0.99[/C][C]165.600350183214[/C][C]4.88819774178298[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276863&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276863&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
0.0153.08439105560531.59658873260484
0.0254.74756711679633.46781054111077
0.0357.24901280944234.98786398615521
0.0460.19255822088915.69863387991431
0.0563.16031691024665.69714431029715
0.0665.86990085838435.27898843891086
0.0768.19940547635614.69311249853808
0.0870.1389680864514.0876105792855
0.0971.73636985263323.54941441346437
0.173.06207123181343.13740725330385
0.1174.19077839855282.88183869076005
0.1275.1914691317812.77967069308642
0.1376.12177103361772.8054341439478
0.1477.02544068379162.92519924834849
0.1577.93201653365263.10211382706885
0.1678.85759685318883.29692125573328
0.1779.8062036164193.47021284311361
0.1880.77186178387183.58980337792551
0.1981.74166604188363.63688253393293
0.282.69967709185243.60934408311519
0.2183.63093755508243.52123526730414
0.2284.52466470623293.39763515711499
0.2385.37589718877423.26656610853401
0.2486.1853904822273.15145079421784
0.2586.95810180444773.06591508526197
0.2687.70095862372323.0110231962365
0.2788.42067421576032.97837971872291
0.2889.12219610453952.95551981737377
0.2989.80806607748192.92966135941902
0.390.47866564439532.89331321661926
0.3191.13311153126232.84405044589436
0.3291.77048303622992.78594366446444
0.3392.39108376403472.72879638052323
0.3492.99751508740512.68686196639176
0.3593.59542136096512.67768598530482
0.3694.1938313339792.7198381700999
0.3794.80506226390462.83074903439224
0.3895.4441824663023.02385127935807
0.3996.12805709918453.30534374423067
0.496.87403925505023.67358676649392
0.4197.69841505877854.11708175572641
0.4298.61476141611114.61735646782898
0.4399.63241675540955.14822627504559
0.44100.7552840983175.68021376558461
0.45101.9811685689286.18112003382537
0.46103.3017902325546.62231229383453
0.47104.7035105445256.97930723983771
0.48106.1686822944687.23692156790362
0.49107.6774062402037.38902252420728
0.5109.2093862901247.43976550079034
0.51110.7455493562227.40033770712717
0.52112.2691517578667.28666051310064
0.53113.7662244217457.11504714524121
0.54115.2253825322276.89843084145963
0.55116.6371925683926.64465752376965
0.56117.9933991466556.35645147366188
0.57119.2863299306686.0331937197867
0.58120.5087133624055.67433094657769
0.59121.6539891996735.28219980767738
0.6122.7170182194154.86469306150444
0.61123.6949623280684.43500205680651
0.62124.5880507959844.01026157268399
0.63125.3999831149893.60929127253985
0.64126.137823200163.24948759131541
0.65126.8113723106072.94378122269239
0.66127.4321261505342.69901141784161
0.67128.0119964954432.51487242541596
0.68128.562002712292.38373094327396
0.69129.0911256269862.29284113499347
0.7129.6054844599172.2259289790307
0.71130.1079605083762.16657881421518
0.72130.5983493191442.10005967508385
0.73131.0740653159852.01564996727881
0.74131.5313370661111.91004025726774
0.75131.9667176494561.78614140631007
0.76132.3786146893811.65461979840574
0.77132.7684614570681.53098198819483
0.78133.1411559009971.43273605648898
0.79133.5045284455491.37377937063505
0.8133.8678679390071.35917175649334
0.81134.2398943184661.38125740666962
0.82134.6269183028231.42247941889456
0.83135.0321303933261.46332804471699
0.84135.4568538158881.49144062207481
0.85135.9040515400811.51132705762035
0.86136.3833874021421.55041983762827
0.87136.9159420287951.6568859450409
0.88137.5358778009881.87964911900496
0.89138.286857304872.23447238092392
0.9139.2136437163382.68528698382273
0.91140.3538193908943.15963274527473
0.92141.7388835623423.59324690719409
0.93143.4144055216133.9911516886386
0.94145.4808712533924.47646924908461
0.95148.1342230206215.26795216301416
0.96151.6409594870056.48496279405355
0.97156.1368831256057.71942330114863
0.98161.2101299641237.64167177838605
0.99165.6003501832144.88819774178298


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):
par3 <- '0.1'
par2 <- '0.99'
par1 <- '0.01'
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')