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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 29 Nov 2007 02:45:31 -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/2007/Nov/29/t11963289421boybkwnl0e8y4q.htm/, Retrieved Fri, 03 May 2024 09:10:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7315, Retrieved Fri, 03 May 2024 09:10:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact246

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] [dg] [2007-11-29 09:45:31] [fa77851485501f69e030fcd6dbd2de67] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
90.8
96.4
90
92.1
97.2
95.1
88.5
91
90.5
75
66.3
66
68.4
70.6
83.9
90.1
90.6
87.1
90.8
94.1
99.8
96.8
87
96.3
107.1
115.2
106.1
89.5
91.3
97.6
100.7
104.6
94.7
101.8
102.5
105.3
110.3
109.8
117.3
118.8
131.3
125.9
133.1
147
145.8
164.4
149.8
137.7
151.7
156.8
180
180.4
170.4
191.6
199.5
218.2
217.5
205
194
199.3
219.3
211.1
215.2
240.2
242.2
240.7
255.4
253
218.2
203.7
205.6
215.6
188.5
202.9
214
230.3
230
241
259.6
247.8
270.3

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7315&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7315&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7315&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0166.44040131329571.16547058769897
0.0267.53725543431842.68392863381931
0.0369.33864000788484.39759286198704
0.0471.74786704279175.94370059194633
0.0574.55855230794346.94913443869353
0.0677.49940679018627.19163535767076
0.0780.30120890118056.71484296437112
0.0882.76272594944435.76778096179324
0.0984.7844201538944.65468164952478
0.186.3613724025293.61125339076357
0.1187.55064769847642.75879747357067
0.1288.43492317897752.12238252071478
0.1389.09650728378731.67636239731604
0.1489.60495839183561.38370191601014
0.1590.01468042223281.21656394613856
0.1690.36724482099971.15858354555810
0.1790.69458902352211.19600376228587
0.1891.02131472695831.31114149758451
0.1991.36581623307421.48215049456703
0.291.74067852999231.68510031196096
0.2192.15292464795021.89724182027220
0.2292.60454504944572.09966580725261
0.2393.09349928705282.27866707621229
0.2493.61514513925532.42875704155649
0.2594.1638782291322.55150590431503
0.2694.73468535937462.65573607635481
0.2795.32433408700562.75444957241616
0.2895.93202137145222.86204620121774
0.2996.55944747467852.99051814689237
0.397.21042184475743.14782330677916
0.3197.89020612199293.33751880528589
0.3298.60483343281153.55914936611449
0.3399.3606113936813.81083064805320
0.34100.1639351249794.09195051865755
0.35101.0214327589284.40451735747833
0.36101.9403676631284.75416013321307
0.37102.9291513977745.15013026294094
0.38103.9977917656135.60443724777219
0.39105.1581127781696.12878231316386
0.4106.4236305242726.7324299914244
0.41107.8090378632587.4200129416111
0.42109.3293269529138.18960668872737
0.43110.9986485791149.03212461155593
0.44112.8290608551079.93093853642753
0.45114.82935032623810.8635810233805
0.46117.00411205129811.8033628428994
0.47119.35325037284712.7227140899205
0.48121.87200955115913.5954137483207
0.49124.55156673516614.4007324644673
0.5127.38012639726115.1252927527785
0.51130.34435793871515.7649141583637
0.52133.43093417745116.3251743982262
0.53136.62787809628516.8189892677360
0.54139.92542703925217.2635123905941
0.55143.3161882212717.6760250402413
0.56146.79448424583518.0664248358096
0.57150.35495317168418.4348090428035
0.58153.99064073511318.7679656969933
0.59157.69096129165519.0393577251731
0.6161.43997111572319.2142506190115
0.61165.21537036531219.2538658934175
0.62168.98852909153619.1235702802069
0.63172.72564338696818.7982465024676
0.64176.38991292736718.2687755135936
0.65179.94443852728317.5430633818134
0.66183.35540691685316.6466619761053
0.67186.59508047955315.6199274038041
0.68189.64414262648214.5129779678684
0.69192.49305053179013.3807537402944
0.7195.14219642589912.2759261954432
0.71197.60085909555411.2440489879750
0.72199.88512489671610.3176779434457
0.73202.0151566390929.51246104297078
0.74204.0123622146198.82790389352456
0.75205.8971191591358.24851828727608
0.76207.6876906095177.75189994382219
0.77209.4007715650857.31897486422767
0.78211.0537127311516.94374702559668
0.79212.667921690746.64169144892063
0.8214.2723517265486.45064860043672
0.81215.9055423776086.42298614135782
0.82217.6145982666376.6039508834547
0.83219.4499888417077.00402512234473
0.84221.4562158912167.57673597322288
0.85223.6601042819928.21770387026935
0.86226.0602877042988.78408974496261
0.87228.6226133662989.13004572031234
0.88231.2857094449219.15007093365336
0.89233.9780774403728.8210560557426
0.9236.6428922838088.22719052591753
0.91239.2609533259397.54896402519219
0.92241.8595877998026.9969223408483
0.93244.500310750966.69041486085496
0.94247.2531772826366.55914209139392
0.95250.1867191948106.40948043994032
0.96253.410348111266.15555324636633
0.97257.1531406248326.0697527495817
0.98261.6806040808186.81831004416068
0.99266.6663982755738.71011981057025

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 66.4404013132957 & 1.16547058769897 \tabularnewline
0.02 & 67.5372554343184 & 2.68392863381931 \tabularnewline
0.03 & 69.3386400078848 & 4.39759286198704 \tabularnewline
0.04 & 71.7478670427917 & 5.94370059194633 \tabularnewline
0.05 & 74.5585523079434 & 6.94913443869353 \tabularnewline
0.06 & 77.4994067901862 & 7.19163535767076 \tabularnewline
0.07 & 80.3012089011805 & 6.71484296437112 \tabularnewline
0.08 & 82.7627259494443 & 5.76778096179324 \tabularnewline
0.09 & 84.784420153894 & 4.65468164952478 \tabularnewline
0.1 & 86.361372402529 & 3.61125339076357 \tabularnewline
0.11 & 87.5506476984764 & 2.75879747357067 \tabularnewline
0.12 & 88.4349231789775 & 2.12238252071478 \tabularnewline
0.13 & 89.0965072837873 & 1.67636239731604 \tabularnewline
0.14 & 89.6049583918356 & 1.38370191601014 \tabularnewline
0.15 & 90.0146804222328 & 1.21656394613856 \tabularnewline
0.16 & 90.3672448209997 & 1.15858354555810 \tabularnewline
0.17 & 90.6945890235221 & 1.19600376228587 \tabularnewline
0.18 & 91.0213147269583 & 1.31114149758451 \tabularnewline
0.19 & 91.3658162330742 & 1.48215049456703 \tabularnewline
0.2 & 91.7406785299923 & 1.68510031196096 \tabularnewline
0.21 & 92.1529246479502 & 1.89724182027220 \tabularnewline
0.22 & 92.6045450494457 & 2.09966580725261 \tabularnewline
0.23 & 93.0934992870528 & 2.27866707621229 \tabularnewline
0.24 & 93.6151451392553 & 2.42875704155649 \tabularnewline
0.25 & 94.163878229132 & 2.55150590431503 \tabularnewline
0.26 & 94.7346853593746 & 2.65573607635481 \tabularnewline
0.27 & 95.3243340870056 & 2.75444957241616 \tabularnewline
0.28 & 95.9320213714522 & 2.86204620121774 \tabularnewline
0.29 & 96.5594474746785 & 2.99051814689237 \tabularnewline
0.3 & 97.2104218447574 & 3.14782330677916 \tabularnewline
0.31 & 97.8902061219929 & 3.33751880528589 \tabularnewline
0.32 & 98.6048334328115 & 3.55914936611449 \tabularnewline
0.33 & 99.360611393681 & 3.81083064805320 \tabularnewline
0.34 & 100.163935124979 & 4.09195051865755 \tabularnewline
0.35 & 101.021432758928 & 4.40451735747833 \tabularnewline
0.36 & 101.940367663128 & 4.75416013321307 \tabularnewline
0.37 & 102.929151397774 & 5.15013026294094 \tabularnewline
0.38 & 103.997791765613 & 5.60443724777219 \tabularnewline
0.39 & 105.158112778169 & 6.12878231316386 \tabularnewline
0.4 & 106.423630524272 & 6.7324299914244 \tabularnewline
0.41 & 107.809037863258 & 7.4200129416111 \tabularnewline
0.42 & 109.329326952913 & 8.18960668872737 \tabularnewline
0.43 & 110.998648579114 & 9.03212461155593 \tabularnewline
0.44 & 112.829060855107 & 9.93093853642753 \tabularnewline
0.45 & 114.829350326238 & 10.8635810233805 \tabularnewline
0.46 & 117.004112051298 & 11.8033628428994 \tabularnewline
0.47 & 119.353250372847 & 12.7227140899205 \tabularnewline
0.48 & 121.872009551159 & 13.5954137483207 \tabularnewline
0.49 & 124.551566735166 & 14.4007324644673 \tabularnewline
0.5 & 127.380126397261 & 15.1252927527785 \tabularnewline
0.51 & 130.344357938715 & 15.7649141583637 \tabularnewline
0.52 & 133.430934177451 & 16.3251743982262 \tabularnewline
0.53 & 136.627878096285 & 16.8189892677360 \tabularnewline
0.54 & 139.925427039252 & 17.2635123905941 \tabularnewline
0.55 & 143.31618822127 & 17.6760250402413 \tabularnewline
0.56 & 146.794484245835 & 18.0664248358096 \tabularnewline
0.57 & 150.354953171684 & 18.4348090428035 \tabularnewline
0.58 & 153.990640735113 & 18.7679656969933 \tabularnewline
0.59 & 157.690961291655 & 19.0393577251731 \tabularnewline
0.6 & 161.439971115723 & 19.2142506190115 \tabularnewline
0.61 & 165.215370365312 & 19.2538658934175 \tabularnewline
0.62 & 168.988529091536 & 19.1235702802069 \tabularnewline
0.63 & 172.725643386968 & 18.7982465024676 \tabularnewline
0.64 & 176.389912927367 & 18.2687755135936 \tabularnewline
0.65 & 179.944438527283 & 17.5430633818134 \tabularnewline
0.66 & 183.355406916853 & 16.6466619761053 \tabularnewline
0.67 & 186.595080479553 & 15.6199274038041 \tabularnewline
0.68 & 189.644142626482 & 14.5129779678684 \tabularnewline
0.69 & 192.493050531790 & 13.3807537402944 \tabularnewline
0.7 & 195.142196425899 & 12.2759261954432 \tabularnewline
0.71 & 197.600859095554 & 11.2440489879750 \tabularnewline
0.72 & 199.885124896716 & 10.3176779434457 \tabularnewline
0.73 & 202.015156639092 & 9.51246104297078 \tabularnewline
0.74 & 204.012362214619 & 8.82790389352456 \tabularnewline
0.75 & 205.897119159135 & 8.24851828727608 \tabularnewline
0.76 & 207.687690609517 & 7.75189994382219 \tabularnewline
0.77 & 209.400771565085 & 7.31897486422767 \tabularnewline
0.78 & 211.053712731151 & 6.94374702559668 \tabularnewline
0.79 & 212.66792169074 & 6.64169144892063 \tabularnewline
0.8 & 214.272351726548 & 6.45064860043672 \tabularnewline
0.81 & 215.905542377608 & 6.42298614135782 \tabularnewline
0.82 & 217.614598266637 & 6.6039508834547 \tabularnewline
0.83 & 219.449988841707 & 7.00402512234473 \tabularnewline
0.84 & 221.456215891216 & 7.57673597322288 \tabularnewline
0.85 & 223.660104281992 & 8.21770387026935 \tabularnewline
0.86 & 226.060287704298 & 8.78408974496261 \tabularnewline
0.87 & 228.622613366298 & 9.13004572031234 \tabularnewline
0.88 & 231.285709444921 & 9.15007093365336 \tabularnewline
0.89 & 233.978077440372 & 8.8210560557426 \tabularnewline
0.9 & 236.642892283808 & 8.22719052591753 \tabularnewline
0.91 & 239.260953325939 & 7.54896402519219 \tabularnewline
0.92 & 241.859587799802 & 6.9969223408483 \tabularnewline
0.93 & 244.50031075096 & 6.69041486085496 \tabularnewline
0.94 & 247.253177282636 & 6.55914209139392 \tabularnewline
0.95 & 250.186719194810 & 6.40948043994032 \tabularnewline
0.96 & 253.41034811126 & 6.15555324636633 \tabularnewline
0.97 & 257.153140624832 & 6.0697527495817 \tabularnewline
0.98 & 261.680604080818 & 6.81831004416068 \tabularnewline
0.99 & 266.666398275573 & 8.71011981057025 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7315&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]66.4404013132957[/C][C]1.16547058769897[/C][/ROW]
[ROW][C]0.02[/C][C]67.5372554343184[/C][C]2.68392863381931[/C][/ROW]
[ROW][C]0.03[/C][C]69.3386400078848[/C][C]4.39759286198704[/C][/ROW]
[ROW][C]0.04[/C][C]71.7478670427917[/C][C]5.94370059194633[/C][/ROW]
[ROW][C]0.05[/C][C]74.5585523079434[/C][C]6.94913443869353[/C][/ROW]
[ROW][C]0.06[/C][C]77.4994067901862[/C][C]7.19163535767076[/C][/ROW]
[ROW][C]0.07[/C][C]80.3012089011805[/C][C]6.71484296437112[/C][/ROW]
[ROW][C]0.08[/C][C]82.7627259494443[/C][C]5.76778096179324[/C][/ROW]
[ROW][C]0.09[/C][C]84.784420153894[/C][C]4.65468164952478[/C][/ROW]
[ROW][C]0.1[/C][C]86.361372402529[/C][C]3.61125339076357[/C][/ROW]
[ROW][C]0.11[/C][C]87.5506476984764[/C][C]2.75879747357067[/C][/ROW]
[ROW][C]0.12[/C][C]88.4349231789775[/C][C]2.12238252071478[/C][/ROW]
[ROW][C]0.13[/C][C]89.0965072837873[/C][C]1.67636239731604[/C][/ROW]
[ROW][C]0.14[/C][C]89.6049583918356[/C][C]1.38370191601014[/C][/ROW]
[ROW][C]0.15[/C][C]90.0146804222328[/C][C]1.21656394613856[/C][/ROW]
[ROW][C]0.16[/C][C]90.3672448209997[/C][C]1.15858354555810[/C][/ROW]
[ROW][C]0.17[/C][C]90.6945890235221[/C][C]1.19600376228587[/C][/ROW]
[ROW][C]0.18[/C][C]91.0213147269583[/C][C]1.31114149758451[/C][/ROW]
[ROW][C]0.19[/C][C]91.3658162330742[/C][C]1.48215049456703[/C][/ROW]
[ROW][C]0.2[/C][C]91.7406785299923[/C][C]1.68510031196096[/C][/ROW]
[ROW][C]0.21[/C][C]92.1529246479502[/C][C]1.89724182027220[/C][/ROW]
[ROW][C]0.22[/C][C]92.6045450494457[/C][C]2.09966580725261[/C][/ROW]
[ROW][C]0.23[/C][C]93.0934992870528[/C][C]2.27866707621229[/C][/ROW]
[ROW][C]0.24[/C][C]93.6151451392553[/C][C]2.42875704155649[/C][/ROW]
[ROW][C]0.25[/C][C]94.163878229132[/C][C]2.55150590431503[/C][/ROW]
[ROW][C]0.26[/C][C]94.7346853593746[/C][C]2.65573607635481[/C][/ROW]
[ROW][C]0.27[/C][C]95.3243340870056[/C][C]2.75444957241616[/C][/ROW]
[ROW][C]0.28[/C][C]95.9320213714522[/C][C]2.86204620121774[/C][/ROW]
[ROW][C]0.29[/C][C]96.5594474746785[/C][C]2.99051814689237[/C][/ROW]
[ROW][C]0.3[/C][C]97.2104218447574[/C][C]3.14782330677916[/C][/ROW]
[ROW][C]0.31[/C][C]97.8902061219929[/C][C]3.33751880528589[/C][/ROW]
[ROW][C]0.32[/C][C]98.6048334328115[/C][C]3.55914936611449[/C][/ROW]
[ROW][C]0.33[/C][C]99.360611393681[/C][C]3.81083064805320[/C][/ROW]
[ROW][C]0.34[/C][C]100.163935124979[/C][C]4.09195051865755[/C][/ROW]
[ROW][C]0.35[/C][C]101.021432758928[/C][C]4.40451735747833[/C][/ROW]
[ROW][C]0.36[/C][C]101.940367663128[/C][C]4.75416013321307[/C][/ROW]
[ROW][C]0.37[/C][C]102.929151397774[/C][C]5.15013026294094[/C][/ROW]
[ROW][C]0.38[/C][C]103.997791765613[/C][C]5.60443724777219[/C][/ROW]
[ROW][C]0.39[/C][C]105.158112778169[/C][C]6.12878231316386[/C][/ROW]
[ROW][C]0.4[/C][C]106.423630524272[/C][C]6.7324299914244[/C][/ROW]
[ROW][C]0.41[/C][C]107.809037863258[/C][C]7.4200129416111[/C][/ROW]
[ROW][C]0.42[/C][C]109.329326952913[/C][C]8.18960668872737[/C][/ROW]
[ROW][C]0.43[/C][C]110.998648579114[/C][C]9.03212461155593[/C][/ROW]
[ROW][C]0.44[/C][C]112.829060855107[/C][C]9.93093853642753[/C][/ROW]
[ROW][C]0.45[/C][C]114.829350326238[/C][C]10.8635810233805[/C][/ROW]
[ROW][C]0.46[/C][C]117.004112051298[/C][C]11.8033628428994[/C][/ROW]
[ROW][C]0.47[/C][C]119.353250372847[/C][C]12.7227140899205[/C][/ROW]
[ROW][C]0.48[/C][C]121.872009551159[/C][C]13.5954137483207[/C][/ROW]
[ROW][C]0.49[/C][C]124.551566735166[/C][C]14.4007324644673[/C][/ROW]
[ROW][C]0.5[/C][C]127.380126397261[/C][C]15.1252927527785[/C][/ROW]
[ROW][C]0.51[/C][C]130.344357938715[/C][C]15.7649141583637[/C][/ROW]
[ROW][C]0.52[/C][C]133.430934177451[/C][C]16.3251743982262[/C][/ROW]
[ROW][C]0.53[/C][C]136.627878096285[/C][C]16.8189892677360[/C][/ROW]
[ROW][C]0.54[/C][C]139.925427039252[/C][C]17.2635123905941[/C][/ROW]
[ROW][C]0.55[/C][C]143.31618822127[/C][C]17.6760250402413[/C][/ROW]
[ROW][C]0.56[/C][C]146.794484245835[/C][C]18.0664248358096[/C][/ROW]
[ROW][C]0.57[/C][C]150.354953171684[/C][C]18.4348090428035[/C][/ROW]
[ROW][C]0.58[/C][C]153.990640735113[/C][C]18.7679656969933[/C][/ROW]
[ROW][C]0.59[/C][C]157.690961291655[/C][C]19.0393577251731[/C][/ROW]
[ROW][C]0.6[/C][C]161.439971115723[/C][C]19.2142506190115[/C][/ROW]
[ROW][C]0.61[/C][C]165.215370365312[/C][C]19.2538658934175[/C][/ROW]
[ROW][C]0.62[/C][C]168.988529091536[/C][C]19.1235702802069[/C][/ROW]
[ROW][C]0.63[/C][C]172.725643386968[/C][C]18.7982465024676[/C][/ROW]
[ROW][C]0.64[/C][C]176.389912927367[/C][C]18.2687755135936[/C][/ROW]
[ROW][C]0.65[/C][C]179.944438527283[/C][C]17.5430633818134[/C][/ROW]
[ROW][C]0.66[/C][C]183.355406916853[/C][C]16.6466619761053[/C][/ROW]
[ROW][C]0.67[/C][C]186.595080479553[/C][C]15.6199274038041[/C][/ROW]
[ROW][C]0.68[/C][C]189.644142626482[/C][C]14.5129779678684[/C][/ROW]
[ROW][C]0.69[/C][C]192.493050531790[/C][C]13.3807537402944[/C][/ROW]
[ROW][C]0.7[/C][C]195.142196425899[/C][C]12.2759261954432[/C][/ROW]
[ROW][C]0.71[/C][C]197.600859095554[/C][C]11.2440489879750[/C][/ROW]
[ROW][C]0.72[/C][C]199.885124896716[/C][C]10.3176779434457[/C][/ROW]
[ROW][C]0.73[/C][C]202.015156639092[/C][C]9.51246104297078[/C][/ROW]
[ROW][C]0.74[/C][C]204.012362214619[/C][C]8.82790389352456[/C][/ROW]
[ROW][C]0.75[/C][C]205.897119159135[/C][C]8.24851828727608[/C][/ROW]
[ROW][C]0.76[/C][C]207.687690609517[/C][C]7.75189994382219[/C][/ROW]
[ROW][C]0.77[/C][C]209.400771565085[/C][C]7.31897486422767[/C][/ROW]
[ROW][C]0.78[/C][C]211.053712731151[/C][C]6.94374702559668[/C][/ROW]
[ROW][C]0.79[/C][C]212.66792169074[/C][C]6.64169144892063[/C][/ROW]
[ROW][C]0.8[/C][C]214.272351726548[/C][C]6.45064860043672[/C][/ROW]
[ROW][C]0.81[/C][C]215.905542377608[/C][C]6.42298614135782[/C][/ROW]
[ROW][C]0.82[/C][C]217.614598266637[/C][C]6.6039508834547[/C][/ROW]
[ROW][C]0.83[/C][C]219.449988841707[/C][C]7.00402512234473[/C][/ROW]
[ROW][C]0.84[/C][C]221.456215891216[/C][C]7.57673597322288[/C][/ROW]
[ROW][C]0.85[/C][C]223.660104281992[/C][C]8.21770387026935[/C][/ROW]
[ROW][C]0.86[/C][C]226.060287704298[/C][C]8.78408974496261[/C][/ROW]
[ROW][C]0.87[/C][C]228.622613366298[/C][C]9.13004572031234[/C][/ROW]
[ROW][C]0.88[/C][C]231.285709444921[/C][C]9.15007093365336[/C][/ROW]
[ROW][C]0.89[/C][C]233.978077440372[/C][C]8.8210560557426[/C][/ROW]
[ROW][C]0.9[/C][C]236.642892283808[/C][C]8.22719052591753[/C][/ROW]
[ROW][C]0.91[/C][C]239.260953325939[/C][C]7.54896402519219[/C][/ROW]
[ROW][C]0.92[/C][C]241.859587799802[/C][C]6.9969223408483[/C][/ROW]
[ROW][C]0.93[/C][C]244.50031075096[/C][C]6.69041486085496[/C][/ROW]
[ROW][C]0.94[/C][C]247.253177282636[/C][C]6.55914209139392[/C][/ROW]
[ROW][C]0.95[/C][C]250.186719194810[/C][C]6.40948043994032[/C][/ROW]
[ROW][C]0.96[/C][C]253.41034811126[/C][C]6.15555324636633[/C][/ROW]
[ROW][C]0.97[/C][C]257.153140624832[/C][C]6.0697527495817[/C][/ROW]
[ROW][C]0.98[/C][C]261.680604080818[/C][C]6.81831004416068[/C][/ROW]
[ROW][C]0.99[/C][C]266.666398275573[/C][C]8.71011981057025[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7315&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7315&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
0.0166.44040131329571.16547058769897
0.0267.53725543431842.68392863381931
0.0369.33864000788484.39759286198704
0.0471.74786704279175.94370059194633
0.0574.55855230794346.94913443869353
0.0677.49940679018627.19163535767076
0.0780.30120890118056.71484296437112
0.0882.76272594944435.76778096179324
0.0984.7844201538944.65468164952478
0.186.3613724025293.61125339076357
0.1187.55064769847642.75879747357067
0.1288.43492317897752.12238252071478
0.1389.09650728378731.67636239731604
0.1489.60495839183561.38370191601014
0.1590.01468042223281.21656394613856
0.1690.36724482099971.15858354555810
0.1790.69458902352211.19600376228587
0.1891.02131472695831.31114149758451
0.1991.36581623307421.48215049456703
0.291.74067852999231.68510031196096
0.2192.15292464795021.89724182027220
0.2292.60454504944572.09966580725261
0.2393.09349928705282.27866707621229
0.2493.61514513925532.42875704155649
0.2594.1638782291322.55150590431503
0.2694.73468535937462.65573607635481
0.2795.32433408700562.75444957241616
0.2895.93202137145222.86204620121774
0.2996.55944747467852.99051814689237
0.397.21042184475743.14782330677916
0.3197.89020612199293.33751880528589
0.3298.60483343281153.55914936611449
0.3399.3606113936813.81083064805320
0.34100.1639351249794.09195051865755
0.35101.0214327589284.40451735747833
0.36101.9403676631284.75416013321307
0.37102.9291513977745.15013026294094
0.38103.9977917656135.60443724777219
0.39105.1581127781696.12878231316386
0.4106.4236305242726.7324299914244
0.41107.8090378632587.4200129416111
0.42109.3293269529138.18960668872737
0.43110.9986485791149.03212461155593
0.44112.8290608551079.93093853642753
0.45114.82935032623810.8635810233805
0.46117.00411205129811.8033628428994
0.47119.35325037284712.7227140899205
0.48121.87200955115913.5954137483207
0.49124.55156673516614.4007324644673
0.5127.38012639726115.1252927527785
0.51130.34435793871515.7649141583637
0.52133.43093417745116.3251743982262
0.53136.62787809628516.8189892677360
0.54139.92542703925217.2635123905941
0.55143.3161882212717.6760250402413
0.56146.79448424583518.0664248358096
0.57150.35495317168418.4348090428035
0.58153.99064073511318.7679656969933
0.59157.69096129165519.0393577251731
0.6161.43997111572319.2142506190115
0.61165.21537036531219.2538658934175
0.62168.98852909153619.1235702802069
0.63172.72564338696818.7982465024676
0.64176.38991292736718.2687755135936
0.65179.94443852728317.5430633818134
0.66183.35540691685316.6466619761053
0.67186.59508047955315.6199274038041
0.68189.64414262648214.5129779678684
0.69192.49305053179013.3807537402944
0.7195.14219642589912.2759261954432
0.71197.60085909555411.2440489879750
0.72199.88512489671610.3176779434457
0.73202.0151566390929.51246104297078
0.74204.0123622146198.82790389352456
0.75205.8971191591358.24851828727608
0.76207.6876906095177.75189994382219
0.77209.4007715650857.31897486422767
0.78211.0537127311516.94374702559668
0.79212.667921690746.64169144892063
0.8214.2723517265486.45064860043672
0.81215.9055423776086.42298614135782
0.82217.6145982666376.6039508834547
0.83219.4499888417077.00402512234473
0.84221.4562158912167.57673597322288
0.85223.6601042819928.21770387026935
0.86226.0602877042988.78408974496261
0.87228.6226133662989.13004572031234
0.88231.2857094449219.15007093365336
0.89233.9780774403728.8210560557426
0.9236.6428922838088.22719052591753
0.91239.2609533259397.54896402519219
0.92241.8595877998026.9969223408483
0.93244.500310750966.69041486085496
0.94247.2531772826366.55914209139392
0.95250.1867191948106.40948043994032
0.96253.410348111266.15555324636633
0.97257.1531406248326.0697527495817
0.98261.6806040808186.81831004416068
0.99266.6663982755738.71011981057025


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')