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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 computationThu, 08 Oct 2015 20:56:47 +0100
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/Oct/08/t1444334237whdjvh5juwgfxoj.htm/, Retrieved Wed, 15 May 2024 03:23:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281658, Retrieved Wed, 15 May 2024 03:23:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact85

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] [] [2015-10-08 19:56:47] [64c14b596f7fde091cf1a84a44b2a252] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
107,64
107,64
107,58
107,42
107,35
107,31
107,24
107
106,62
105,37
103,23
102,38
102,35
102,28
101,77
101,37
100,18
99,3
99,2
99,13
98,71
98,6
98,6
98,51
98,48
98,46
98,46
98,4
97,97
97,88
97,57
96,71
94,89
94,57
94,5
94,38
94,38
94,36
94,31
94,3
94,18
94,1
93,89
93,38
92,88
92,82
92,82
92,81
92,81
92,81
92,81
92,81
92,81
92,79
92,72
92,68
91,38
91,17
91,17
91,16

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281658&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281658&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281658&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0191.17332828439460.0471191886465196
0.0291.21228910972470.144253992318601
0.0391.28987839691410.288818600159554
0.0491.41263608880530.446150331640859
0.0591.57682852934070.574414542843465
0.0691.76909911705160.643219798649759
0.0791.97082021022880.643461274206548
0.0892.16361063915740.58600708817247
0.0992.33361429049930.492781052896896
0.192.47338879554170.387033173215968
0.1192.5815663818240.287123793648277
0.1292.66118842451330.203737861465815
0.1392.71770266792040.141176810385722
0.1492.75729967599480.0996342939644436
0.1592.7858582891770.0783143287991217
0.1692.80846440701250.0764196584272184
0.1792.82932120094470.0912364071419281
0.1892.85185051782040.118984972185784
0.1992.87883473332220.157268208281626
0.292.91251557676720.204233659656944
0.2192.95462365452850.258046637848476
0.2293.00635027585510.316172972418975
0.2393.06829257337740.375371014248152
0.2493.14040807434390.43204741347985
0.2593.22201019977830.48285229343743
0.2693.31182532106690.524632986443835
0.2793.40811814541330.555125155698564
0.2893.50887819826780.573314431462153
0.2993.61204850180180.57968458549001
0.393.71576999379290.575803501992652
0.3193.8186125836120.564929088967297
0.3293.91976574281980.551340760814198
0.3394.01916708542570.540119289822634
0.3494.11755500242260.536973313137922
0.3594.21643962314050.547209871994957
0.3694.31799412740160.575347488531343
0.3794.42487520282320.623720174202695
0.3894.53998714291620.692751698365044
0.3994.66620881741010.780130502687037
0.494.80610653660070.882125199491191
0.4194.96165842824440.993349508592754
0.4295.13401681405111.10780635102806
0.4395.32333354962261.21831933895546
0.4495.52866885858421.3181849743326
0.4595.74799676441151.40059398853942
0.4695.97831034429711.4601357219803
0.4796.21581888354091.49273257072277
0.4896.45621824222191.49641611307386
0.4996.69500712566051.47100799032893
0.596.92781696233271.41843849038562
0.5197.1507225895361.34246868899109
0.5297.36050494337971.24838118828641
0.5397.55484462362681.14200444210634
0.5497.73243509297961.02998060739187
0.5597.89301460393410.918634536313023
0.5698.03732502172740.813962148213982
0.5798.1670122201950.721369710179236
0.5898.28448596049820.645272939279243
0.5998.39275707619220.589407814218775
0.698.49526693438330.556727787213509
0.6198.5957195162560.548632239932676
0.6298.69792130241480.565196569576999
0.6398.80562974533310.604692555486383
0.6498.92240859717110.664578807515582
0.6599.05148852473110.741451547534976
0.6699.19563453099590.83143381454576
0.6799.35702723919690.930427274643446
0.6899.53717176916841.03382653765168
0.6999.73685363254851.13686291472115
0.799.95616314612961.2351072075344
0.71100.194605693961.3247696372227
0.72100.4513030006351.40351628221013
0.73100.7252704643321.47078665585228
0.74101.0157302083851.52839536348786
0.75101.3223944272741.58021395397522
0.76101.6456367563151.63174665137875
0.77101.9864694206841.68843412695162
0.78102.3462675396271.75395969041252
0.79102.7262308928051.8280213256434
0.8103.1266418105591.90532649541546
0.81103.5460512474331.97529662980936
0.82103.9805825752262.02400259815001
0.83104.423561763572.03627849819789
0.84104.8656470384051.99938420683432
0.85105.2955382231761.90575140948226
0.86105.7012116337681.75525479257621
0.87106.0714836246151.55605548207141
0.88106.3975963349381.32330359718293
0.89106.6744794682511.07701727502919
0.9106.9013898206060.838252663422173
0.91107.0817573216070.625257057756047
0.92107.2222413986640.45081348370962
0.93107.3311837039990.320416727269852
0.94107.4167971753150.231620808532126
0.95107.4855329267250.174275490615749
0.96107.5410933420660.133446941322766
0.97107.5844720830080.0963436049673454
0.98107.6151351440080.0580661921099669
0.99107.6329672273660.0228006281565387

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 91.1733282843946 & 0.0471191886465196 \tabularnewline
0.02 & 91.2122891097247 & 0.144253992318601 \tabularnewline
0.03 & 91.2898783969141 & 0.288818600159554 \tabularnewline
0.04 & 91.4126360888053 & 0.446150331640859 \tabularnewline
0.05 & 91.5768285293407 & 0.574414542843465 \tabularnewline
0.06 & 91.7690991170516 & 0.643219798649759 \tabularnewline
0.07 & 91.9708202102288 & 0.643461274206548 \tabularnewline
0.08 & 92.1636106391574 & 0.58600708817247 \tabularnewline
0.09 & 92.3336142904993 & 0.492781052896896 \tabularnewline
0.1 & 92.4733887955417 & 0.387033173215968 \tabularnewline
0.11 & 92.581566381824 & 0.287123793648277 \tabularnewline
0.12 & 92.6611884245133 & 0.203737861465815 \tabularnewline
0.13 & 92.7177026679204 & 0.141176810385722 \tabularnewline
0.14 & 92.7572996759948 & 0.0996342939644436 \tabularnewline
0.15 & 92.785858289177 & 0.0783143287991217 \tabularnewline
0.16 & 92.8084644070125 & 0.0764196584272184 \tabularnewline
0.17 & 92.8293212009447 & 0.0912364071419281 \tabularnewline
0.18 & 92.8518505178204 & 0.118984972185784 \tabularnewline
0.19 & 92.8788347333222 & 0.157268208281626 \tabularnewline
0.2 & 92.9125155767672 & 0.204233659656944 \tabularnewline
0.21 & 92.9546236545285 & 0.258046637848476 \tabularnewline
0.22 & 93.0063502758551 & 0.316172972418975 \tabularnewline
0.23 & 93.0682925733774 & 0.375371014248152 \tabularnewline
0.24 & 93.1404080743439 & 0.43204741347985 \tabularnewline
0.25 & 93.2220101997783 & 0.48285229343743 \tabularnewline
0.26 & 93.3118253210669 & 0.524632986443835 \tabularnewline
0.27 & 93.4081181454133 & 0.555125155698564 \tabularnewline
0.28 & 93.5088781982678 & 0.573314431462153 \tabularnewline
0.29 & 93.6120485018018 & 0.57968458549001 \tabularnewline
0.3 & 93.7157699937929 & 0.575803501992652 \tabularnewline
0.31 & 93.818612583612 & 0.564929088967297 \tabularnewline
0.32 & 93.9197657428198 & 0.551340760814198 \tabularnewline
0.33 & 94.0191670854257 & 0.540119289822634 \tabularnewline
0.34 & 94.1175550024226 & 0.536973313137922 \tabularnewline
0.35 & 94.2164396231405 & 0.547209871994957 \tabularnewline
0.36 & 94.3179941274016 & 0.575347488531343 \tabularnewline
0.37 & 94.4248752028232 & 0.623720174202695 \tabularnewline
0.38 & 94.5399871429162 & 0.692751698365044 \tabularnewline
0.39 & 94.6662088174101 & 0.780130502687037 \tabularnewline
0.4 & 94.8061065366007 & 0.882125199491191 \tabularnewline
0.41 & 94.9616584282444 & 0.993349508592754 \tabularnewline
0.42 & 95.1340168140511 & 1.10780635102806 \tabularnewline
0.43 & 95.3233335496226 & 1.21831933895546 \tabularnewline
0.44 & 95.5286688585842 & 1.3181849743326 \tabularnewline
0.45 & 95.7479967644115 & 1.40059398853942 \tabularnewline
0.46 & 95.9783103442971 & 1.4601357219803 \tabularnewline
0.47 & 96.2158188835409 & 1.49273257072277 \tabularnewline
0.48 & 96.4562182422219 & 1.49641611307386 \tabularnewline
0.49 & 96.6950071256605 & 1.47100799032893 \tabularnewline
0.5 & 96.9278169623327 & 1.41843849038562 \tabularnewline
0.51 & 97.150722589536 & 1.34246868899109 \tabularnewline
0.52 & 97.3605049433797 & 1.24838118828641 \tabularnewline
0.53 & 97.5548446236268 & 1.14200444210634 \tabularnewline
0.54 & 97.7324350929796 & 1.02998060739187 \tabularnewline
0.55 & 97.8930146039341 & 0.918634536313023 \tabularnewline
0.56 & 98.0373250217274 & 0.813962148213982 \tabularnewline
0.57 & 98.167012220195 & 0.721369710179236 \tabularnewline
0.58 & 98.2844859604982 & 0.645272939279243 \tabularnewline
0.59 & 98.3927570761922 & 0.589407814218775 \tabularnewline
0.6 & 98.4952669343833 & 0.556727787213509 \tabularnewline
0.61 & 98.595719516256 & 0.548632239932676 \tabularnewline
0.62 & 98.6979213024148 & 0.565196569576999 \tabularnewline
0.63 & 98.8056297453331 & 0.604692555486383 \tabularnewline
0.64 & 98.9224085971711 & 0.664578807515582 \tabularnewline
0.65 & 99.0514885247311 & 0.741451547534976 \tabularnewline
0.66 & 99.1956345309959 & 0.83143381454576 \tabularnewline
0.67 & 99.3570272391969 & 0.930427274643446 \tabularnewline
0.68 & 99.5371717691684 & 1.03382653765168 \tabularnewline
0.69 & 99.7368536325485 & 1.13686291472115 \tabularnewline
0.7 & 99.9561631461296 & 1.2351072075344 \tabularnewline
0.71 & 100.19460569396 & 1.3247696372227 \tabularnewline
0.72 & 100.451303000635 & 1.40351628221013 \tabularnewline
0.73 & 100.725270464332 & 1.47078665585228 \tabularnewline
0.74 & 101.015730208385 & 1.52839536348786 \tabularnewline
0.75 & 101.322394427274 & 1.58021395397522 \tabularnewline
0.76 & 101.645636756315 & 1.63174665137875 \tabularnewline
0.77 & 101.986469420684 & 1.68843412695162 \tabularnewline
0.78 & 102.346267539627 & 1.75395969041252 \tabularnewline
0.79 & 102.726230892805 & 1.8280213256434 \tabularnewline
0.8 & 103.126641810559 & 1.90532649541546 \tabularnewline
0.81 & 103.546051247433 & 1.97529662980936 \tabularnewline
0.82 & 103.980582575226 & 2.02400259815001 \tabularnewline
0.83 & 104.42356176357 & 2.03627849819789 \tabularnewline
0.84 & 104.865647038405 & 1.99938420683432 \tabularnewline
0.85 & 105.295538223176 & 1.90575140948226 \tabularnewline
0.86 & 105.701211633768 & 1.75525479257621 \tabularnewline
0.87 & 106.071483624615 & 1.55605548207141 \tabularnewline
0.88 & 106.397596334938 & 1.32330359718293 \tabularnewline
0.89 & 106.674479468251 & 1.07701727502919 \tabularnewline
0.9 & 106.901389820606 & 0.838252663422173 \tabularnewline
0.91 & 107.081757321607 & 0.625257057756047 \tabularnewline
0.92 & 107.222241398664 & 0.45081348370962 \tabularnewline
0.93 & 107.331183703999 & 0.320416727269852 \tabularnewline
0.94 & 107.416797175315 & 0.231620808532126 \tabularnewline
0.95 & 107.485532926725 & 0.174275490615749 \tabularnewline
0.96 & 107.541093342066 & 0.133446941322766 \tabularnewline
0.97 & 107.584472083008 & 0.0963436049673454 \tabularnewline
0.98 & 107.615135144008 & 0.0580661921099669 \tabularnewline
0.99 & 107.632967227366 & 0.0228006281565387 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281658&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]91.1733282843946[/C][C]0.0471191886465196[/C][/ROW]
[ROW][C]0.02[/C][C]91.2122891097247[/C][C]0.144253992318601[/C][/ROW]
[ROW][C]0.03[/C][C]91.2898783969141[/C][C]0.288818600159554[/C][/ROW]
[ROW][C]0.04[/C][C]91.4126360888053[/C][C]0.446150331640859[/C][/ROW]
[ROW][C]0.05[/C][C]91.5768285293407[/C][C]0.574414542843465[/C][/ROW]
[ROW][C]0.06[/C][C]91.7690991170516[/C][C]0.643219798649759[/C][/ROW]
[ROW][C]0.07[/C][C]91.9708202102288[/C][C]0.643461274206548[/C][/ROW]
[ROW][C]0.08[/C][C]92.1636106391574[/C][C]0.58600708817247[/C][/ROW]
[ROW][C]0.09[/C][C]92.3336142904993[/C][C]0.492781052896896[/C][/ROW]
[ROW][C]0.1[/C][C]92.4733887955417[/C][C]0.387033173215968[/C][/ROW]
[ROW][C]0.11[/C][C]92.581566381824[/C][C]0.287123793648277[/C][/ROW]
[ROW][C]0.12[/C][C]92.6611884245133[/C][C]0.203737861465815[/C][/ROW]
[ROW][C]0.13[/C][C]92.7177026679204[/C][C]0.141176810385722[/C][/ROW]
[ROW][C]0.14[/C][C]92.7572996759948[/C][C]0.0996342939644436[/C][/ROW]
[ROW][C]0.15[/C][C]92.785858289177[/C][C]0.0783143287991217[/C][/ROW]
[ROW][C]0.16[/C][C]92.8084644070125[/C][C]0.0764196584272184[/C][/ROW]
[ROW][C]0.17[/C][C]92.8293212009447[/C][C]0.0912364071419281[/C][/ROW]
[ROW][C]0.18[/C][C]92.8518505178204[/C][C]0.118984972185784[/C][/ROW]
[ROW][C]0.19[/C][C]92.8788347333222[/C][C]0.157268208281626[/C][/ROW]
[ROW][C]0.2[/C][C]92.9125155767672[/C][C]0.204233659656944[/C][/ROW]
[ROW][C]0.21[/C][C]92.9546236545285[/C][C]0.258046637848476[/C][/ROW]
[ROW][C]0.22[/C][C]93.0063502758551[/C][C]0.316172972418975[/C][/ROW]
[ROW][C]0.23[/C][C]93.0682925733774[/C][C]0.375371014248152[/C][/ROW]
[ROW][C]0.24[/C][C]93.1404080743439[/C][C]0.43204741347985[/C][/ROW]
[ROW][C]0.25[/C][C]93.2220101997783[/C][C]0.48285229343743[/C][/ROW]
[ROW][C]0.26[/C][C]93.3118253210669[/C][C]0.524632986443835[/C][/ROW]
[ROW][C]0.27[/C][C]93.4081181454133[/C][C]0.555125155698564[/C][/ROW]
[ROW][C]0.28[/C][C]93.5088781982678[/C][C]0.573314431462153[/C][/ROW]
[ROW][C]0.29[/C][C]93.6120485018018[/C][C]0.57968458549001[/C][/ROW]
[ROW][C]0.3[/C][C]93.7157699937929[/C][C]0.575803501992652[/C][/ROW]
[ROW][C]0.31[/C][C]93.818612583612[/C][C]0.564929088967297[/C][/ROW]
[ROW][C]0.32[/C][C]93.9197657428198[/C][C]0.551340760814198[/C][/ROW]
[ROW][C]0.33[/C][C]94.0191670854257[/C][C]0.540119289822634[/C][/ROW]
[ROW][C]0.34[/C][C]94.1175550024226[/C][C]0.536973313137922[/C][/ROW]
[ROW][C]0.35[/C][C]94.2164396231405[/C][C]0.547209871994957[/C][/ROW]
[ROW][C]0.36[/C][C]94.3179941274016[/C][C]0.575347488531343[/C][/ROW]
[ROW][C]0.37[/C][C]94.4248752028232[/C][C]0.623720174202695[/C][/ROW]
[ROW][C]0.38[/C][C]94.5399871429162[/C][C]0.692751698365044[/C][/ROW]
[ROW][C]0.39[/C][C]94.6662088174101[/C][C]0.780130502687037[/C][/ROW]
[ROW][C]0.4[/C][C]94.8061065366007[/C][C]0.882125199491191[/C][/ROW]
[ROW][C]0.41[/C][C]94.9616584282444[/C][C]0.993349508592754[/C][/ROW]
[ROW][C]0.42[/C][C]95.1340168140511[/C][C]1.10780635102806[/C][/ROW]
[ROW][C]0.43[/C][C]95.3233335496226[/C][C]1.21831933895546[/C][/ROW]
[ROW][C]0.44[/C][C]95.5286688585842[/C][C]1.3181849743326[/C][/ROW]
[ROW][C]0.45[/C][C]95.7479967644115[/C][C]1.40059398853942[/C][/ROW]
[ROW][C]0.46[/C][C]95.9783103442971[/C][C]1.4601357219803[/C][/ROW]
[ROW][C]0.47[/C][C]96.2158188835409[/C][C]1.49273257072277[/C][/ROW]
[ROW][C]0.48[/C][C]96.4562182422219[/C][C]1.49641611307386[/C][/ROW]
[ROW][C]0.49[/C][C]96.6950071256605[/C][C]1.47100799032893[/C][/ROW]
[ROW][C]0.5[/C][C]96.9278169623327[/C][C]1.41843849038562[/C][/ROW]
[ROW][C]0.51[/C][C]97.150722589536[/C][C]1.34246868899109[/C][/ROW]
[ROW][C]0.52[/C][C]97.3605049433797[/C][C]1.24838118828641[/C][/ROW]
[ROW][C]0.53[/C][C]97.5548446236268[/C][C]1.14200444210634[/C][/ROW]
[ROW][C]0.54[/C][C]97.7324350929796[/C][C]1.02998060739187[/C][/ROW]
[ROW][C]0.55[/C][C]97.8930146039341[/C][C]0.918634536313023[/C][/ROW]
[ROW][C]0.56[/C][C]98.0373250217274[/C][C]0.813962148213982[/C][/ROW]
[ROW][C]0.57[/C][C]98.167012220195[/C][C]0.721369710179236[/C][/ROW]
[ROW][C]0.58[/C][C]98.2844859604982[/C][C]0.645272939279243[/C][/ROW]
[ROW][C]0.59[/C][C]98.3927570761922[/C][C]0.589407814218775[/C][/ROW]
[ROW][C]0.6[/C][C]98.4952669343833[/C][C]0.556727787213509[/C][/ROW]
[ROW][C]0.61[/C][C]98.595719516256[/C][C]0.548632239932676[/C][/ROW]
[ROW][C]0.62[/C][C]98.6979213024148[/C][C]0.565196569576999[/C][/ROW]
[ROW][C]0.63[/C][C]98.8056297453331[/C][C]0.604692555486383[/C][/ROW]
[ROW][C]0.64[/C][C]98.9224085971711[/C][C]0.664578807515582[/C][/ROW]
[ROW][C]0.65[/C][C]99.0514885247311[/C][C]0.741451547534976[/C][/ROW]
[ROW][C]0.66[/C][C]99.1956345309959[/C][C]0.83143381454576[/C][/ROW]
[ROW][C]0.67[/C][C]99.3570272391969[/C][C]0.930427274643446[/C][/ROW]
[ROW][C]0.68[/C][C]99.5371717691684[/C][C]1.03382653765168[/C][/ROW]
[ROW][C]0.69[/C][C]99.7368536325485[/C][C]1.13686291472115[/C][/ROW]
[ROW][C]0.7[/C][C]99.9561631461296[/C][C]1.2351072075344[/C][/ROW]
[ROW][C]0.71[/C][C]100.19460569396[/C][C]1.3247696372227[/C][/ROW]
[ROW][C]0.72[/C][C]100.451303000635[/C][C]1.40351628221013[/C][/ROW]
[ROW][C]0.73[/C][C]100.725270464332[/C][C]1.47078665585228[/C][/ROW]
[ROW][C]0.74[/C][C]101.015730208385[/C][C]1.52839536348786[/C][/ROW]
[ROW][C]0.75[/C][C]101.322394427274[/C][C]1.58021395397522[/C][/ROW]
[ROW][C]0.76[/C][C]101.645636756315[/C][C]1.63174665137875[/C][/ROW]
[ROW][C]0.77[/C][C]101.986469420684[/C][C]1.68843412695162[/C][/ROW]
[ROW][C]0.78[/C][C]102.346267539627[/C][C]1.75395969041252[/C][/ROW]
[ROW][C]0.79[/C][C]102.726230892805[/C][C]1.8280213256434[/C][/ROW]
[ROW][C]0.8[/C][C]103.126641810559[/C][C]1.90532649541546[/C][/ROW]
[ROW][C]0.81[/C][C]103.546051247433[/C][C]1.97529662980936[/C][/ROW]
[ROW][C]0.82[/C][C]103.980582575226[/C][C]2.02400259815001[/C][/ROW]
[ROW][C]0.83[/C][C]104.42356176357[/C][C]2.03627849819789[/C][/ROW]
[ROW][C]0.84[/C][C]104.865647038405[/C][C]1.99938420683432[/C][/ROW]
[ROW][C]0.85[/C][C]105.295538223176[/C][C]1.90575140948226[/C][/ROW]
[ROW][C]0.86[/C][C]105.701211633768[/C][C]1.75525479257621[/C][/ROW]
[ROW][C]0.87[/C][C]106.071483624615[/C][C]1.55605548207141[/C][/ROW]
[ROW][C]0.88[/C][C]106.397596334938[/C][C]1.32330359718293[/C][/ROW]
[ROW][C]0.89[/C][C]106.674479468251[/C][C]1.07701727502919[/C][/ROW]
[ROW][C]0.9[/C][C]106.901389820606[/C][C]0.838252663422173[/C][/ROW]
[ROW][C]0.91[/C][C]107.081757321607[/C][C]0.625257057756047[/C][/ROW]
[ROW][C]0.92[/C][C]107.222241398664[/C][C]0.45081348370962[/C][/ROW]
[ROW][C]0.93[/C][C]107.331183703999[/C][C]0.320416727269852[/C][/ROW]
[ROW][C]0.94[/C][C]107.416797175315[/C][C]0.231620808532126[/C][/ROW]
[ROW][C]0.95[/C][C]107.485532926725[/C][C]0.174275490615749[/C][/ROW]
[ROW][C]0.96[/C][C]107.541093342066[/C][C]0.133446941322766[/C][/ROW]
[ROW][C]0.97[/C][C]107.584472083008[/C][C]0.0963436049673454[/C][/ROW]
[ROW][C]0.98[/C][C]107.615135144008[/C][C]0.0580661921099669[/C][/ROW]
[ROW][C]0.99[/C][C]107.632967227366[/C][C]0.0228006281565387[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281658&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281658&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
0.0191.17332828439460.0471191886465196
0.0291.21228910972470.144253992318601
0.0391.28987839691410.288818600159554
0.0491.41263608880530.446150331640859
0.0591.57682852934070.574414542843465
0.0691.76909911705160.643219798649759
0.0791.97082021022880.643461274206548
0.0892.16361063915740.58600708817247
0.0992.33361429049930.492781052896896
0.192.47338879554170.387033173215968
0.1192.5815663818240.287123793648277
0.1292.66118842451330.203737861465815
0.1392.71770266792040.141176810385722
0.1492.75729967599480.0996342939644436
0.1592.7858582891770.0783143287991217
0.1692.80846440701250.0764196584272184
0.1792.82932120094470.0912364071419281
0.1892.85185051782040.118984972185784
0.1992.87883473332220.157268208281626
0.292.91251557676720.204233659656944
0.2192.95462365452850.258046637848476
0.2293.00635027585510.316172972418975
0.2393.06829257337740.375371014248152
0.2493.14040807434390.43204741347985
0.2593.22201019977830.48285229343743
0.2693.31182532106690.524632986443835
0.2793.40811814541330.555125155698564
0.2893.50887819826780.573314431462153
0.2993.61204850180180.57968458549001
0.393.71576999379290.575803501992652
0.3193.8186125836120.564929088967297
0.3293.91976574281980.551340760814198
0.3394.01916708542570.540119289822634
0.3494.11755500242260.536973313137922
0.3594.21643962314050.547209871994957
0.3694.31799412740160.575347488531343
0.3794.42487520282320.623720174202695
0.3894.53998714291620.692751698365044
0.3994.66620881741010.780130502687037
0.494.80610653660070.882125199491191
0.4194.96165842824440.993349508592754
0.4295.13401681405111.10780635102806
0.4395.32333354962261.21831933895546
0.4495.52866885858421.3181849743326
0.4595.74799676441151.40059398853942
0.4695.97831034429711.4601357219803
0.4796.21581888354091.49273257072277
0.4896.45621824222191.49641611307386
0.4996.69500712566051.47100799032893
0.596.92781696233271.41843849038562
0.5197.1507225895361.34246868899109
0.5297.36050494337971.24838118828641
0.5397.55484462362681.14200444210634
0.5497.73243509297961.02998060739187
0.5597.89301460393410.918634536313023
0.5698.03732502172740.813962148213982
0.5798.1670122201950.721369710179236
0.5898.28448596049820.645272939279243
0.5998.39275707619220.589407814218775
0.698.49526693438330.556727787213509
0.6198.5957195162560.548632239932676
0.6298.69792130241480.565196569576999
0.6398.80562974533310.604692555486383
0.6498.92240859717110.664578807515582
0.6599.05148852473110.741451547534976
0.6699.19563453099590.83143381454576
0.6799.35702723919690.930427274643446
0.6899.53717176916841.03382653765168
0.6999.73685363254851.13686291472115
0.799.95616314612961.2351072075344
0.71100.194605693961.3247696372227
0.72100.4513030006351.40351628221013
0.73100.7252704643321.47078665585228
0.74101.0157302083851.52839536348786
0.75101.3223944272741.58021395397522
0.76101.6456367563151.63174665137875
0.77101.9864694206841.68843412695162
0.78102.3462675396271.75395969041252
0.79102.7262308928051.8280213256434
0.8103.1266418105591.90532649541546
0.81103.5460512474331.97529662980936
0.82103.9805825752262.02400259815001
0.83104.423561763572.03627849819789
0.84104.8656470384051.99938420683432
0.85105.2955382231761.90575140948226
0.86105.7012116337681.75525479257621
0.87106.0714836246151.55605548207141
0.88106.3975963349381.32330359718293
0.89106.6744794682511.07701727502919
0.9106.9013898206060.838252663422173
0.91107.0817573216070.625257057756047
0.92107.2222413986640.45081348370962
0.93107.3311837039990.320416727269852
0.94107.4167971753150.231620808532126
0.95107.4855329267250.174275490615749
0.96107.5410933420660.133446941322766
0.97107.5844720830080.0963436049673454
0.98107.6151351440080.0580661921099669
0.99107.6329672273660.0228006281565387


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')