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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 14 Aug 2010 09:59:45 +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/2010/Aug/14/t1281779960wmr8b50mi537oq3.htm/, Retrieved Mon, 06 May 2024 08:06:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78766, Retrieved Mon, 06 May 2024 08:06:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsReuben Vermoet
Estimated Impact140
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Tijdreeks 2 - stap 7] [2010-08-14 09:59:45] [2c3906e099e396db093769aeca236bf5] [Current]
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Dataseries X:
172
171
170
168
166
165
166
168
169
169
170
172
173
172
165
152
148
145
141
149
146
144
149
150
149
156
150
137
130
126
125
123
117
111
114
121
122
131
125
116
106
98
99
96
95
83
85
98
102
110
101
90
88
83
88
85
86
80
79
97
105
116
99
87
82
81
85
84
78
77
79
85
96
108
98
86
80
74
75
82
71
66
71
75




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78766&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78766&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78766&T=0

As an alternative you can also use a 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'George Udny Yule' @ 72.249.76.132







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0167.6215924627873.70360898678229
0.0269.71170421829812.55771157907025
0.0371.47368844392012.19918698864224
0.0472.8529193304932.19468478386935
0.0574.00052399376222.17829945985044
0.0675.01032650158332.13453580275625
0.0775.92002497374632.09585604702467
0.0876.74773801573092.05192413930261
0.0977.5048203349251.98708038077843
0.178.19903545391961.90782796912108
0.1178.8376344270791.83522335656791
0.1279.42954711435691.78698856686076
0.1379.98514906011381.76764334949423
0.1480.5143893581021.77020433828411
0.1581.02494727983071.78223872373973
0.1681.52145103938221.79301573615049
0.1782.00585682840011.79656601350126
0.1882.47856341298191.79183182558507
0.1982.93977141066681.78310085358638
0.283.39074801827071.77900634762857
0.2183.83481491675061.79207525318478
0.2284.27795662836871.83816050925531
0.2384.72896763957591.93324506553607
0.2485.19907301617852.09010469220602
0.2585.70100746321862.31461840617577
0.2686.24762657042062.60296215096595
0.2786.8502291066832.94141287978689
0.2887.5168580445233.30822734119283
0.2988.25089187997433.67586783110033
0.389.0502199149194.01498745584804
0.3189.90721289065354.29801304405715
0.3290.80956541149524.50446444608991
0.3391.74192367142094.62322991135969
0.3492.68805508670354.65590683634294
0.3593.63320170109554.61603732828924
0.3694.56621534856364.52828801056613
0.3795.48111176462584.42458746620804
0.3896.37779443097744.3392410335679
0.3997.26185950144724.30356933939255
0.498.14356277816154.34041340564801
0.4199.03617101294164.46033063842130
0.4299.95400577407694.66070835712631
0.43100.9105076072684.92788534263975
0.44101.9166062925905.24040683384302
0.45102.9795969673575.5744768899194
0.46104.1026151823755.90601256558183
0.47105.2846999577376.21452420070974
0.48106.5213511313516.48419958460613
0.49107.8054366830216.70486014341996
0.5109.1282898550806.87253005062699
0.51110.4808498640666.98872715694013
0.52111.8547333733307.06029680399654
0.53113.2431634223917.09780976059866
0.54114.6417152195657.11464365327298
0.55116.0488546041957.1269638210245
0.56117.4662418464837.15183334664367
0.57118.8987555251847.20635651935011
0.58120.3541709811217.30560682769303
0.59121.8424226020067.46086247737138
0.6123.3744056019507.67579287379689
0.61124.9603400467817.94406106636584
0.62126.6078229565898.24749731048534
0.63128.3198125686878.55674387712328
0.64130.0928886953348.83350850049051
0.65131.9161775458009.03579041804163
0.66133.7712906378349.1245099676172
0.67135.6334983691369.06953424166248
0.68137.4741579576188.85638853189885
0.69139.2641825493968.48979667722967
0.7140.9781216655237.9953667528885
0.71142.5982641049897.4175437892417
0.72144.1180963193906.81678250930871
0.73145.5444574175846.26253330184638
0.74146.8978243362055.82623834808706
0.75148.2103423596665.56869813396088
0.76149.5215045082135.52525058368921
0.77150.8717935970045.68925084302654
0.78152.2951116686846.00805407112077
0.79153.8113375580206.39248380532062
0.8155.4206948798616.73649069103125
0.81157.1015617733616.93864367888347
0.82158.8127590505676.92194344595633
0.83160.5002544363876.65025239580845
0.84162.1069137233826.13566542100309
0.85163.5829036091585.43448811879422
0.86164.8940799193544.63187035709696
0.87166.026375120163.82034388004983
0.88166.9855835349833.07918063332704
0.89167.7934042126062.46041121394613
0.9168.4814320703761.98628221006052
0.91169.0846060726771.65366175462503
0.92169.6346991634691.43975554302093
0.93170.1537673869241.30427175905278
0.94170.6484352742281.1903366589441
0.95171.1091419352731.03881149157952
0.96171.521777705280.821732186981983
0.97171.8941283991190.58852940600287
0.98172.2723390254720.512700717634374
0.99172.6831899330500.725484951508648

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 67.621592462787 & 3.70360898678229 \tabularnewline
0.02 & 69.7117042182981 & 2.55771157907025 \tabularnewline
0.03 & 71.4736884439201 & 2.19918698864224 \tabularnewline
0.04 & 72.852919330493 & 2.19468478386935 \tabularnewline
0.05 & 74.0005239937622 & 2.17829945985044 \tabularnewline
0.06 & 75.0103265015833 & 2.13453580275625 \tabularnewline
0.07 & 75.9200249737463 & 2.09585604702467 \tabularnewline
0.08 & 76.7477380157309 & 2.05192413930261 \tabularnewline
0.09 & 77.504820334925 & 1.98708038077843 \tabularnewline
0.1 & 78.1990354539196 & 1.90782796912108 \tabularnewline
0.11 & 78.837634427079 & 1.83522335656791 \tabularnewline
0.12 & 79.4295471143569 & 1.78698856686076 \tabularnewline
0.13 & 79.9851490601138 & 1.76764334949423 \tabularnewline
0.14 & 80.514389358102 & 1.77020433828411 \tabularnewline
0.15 & 81.0249472798307 & 1.78223872373973 \tabularnewline
0.16 & 81.5214510393822 & 1.79301573615049 \tabularnewline
0.17 & 82.0058568284001 & 1.79656601350126 \tabularnewline
0.18 & 82.4785634129819 & 1.79183182558507 \tabularnewline
0.19 & 82.9397714106668 & 1.78310085358638 \tabularnewline
0.2 & 83.3907480182707 & 1.77900634762857 \tabularnewline
0.21 & 83.8348149167506 & 1.79207525318478 \tabularnewline
0.22 & 84.2779566283687 & 1.83816050925531 \tabularnewline
0.23 & 84.7289676395759 & 1.93324506553607 \tabularnewline
0.24 & 85.1990730161785 & 2.09010469220602 \tabularnewline
0.25 & 85.7010074632186 & 2.31461840617577 \tabularnewline
0.26 & 86.2476265704206 & 2.60296215096595 \tabularnewline
0.27 & 86.850229106683 & 2.94141287978689 \tabularnewline
0.28 & 87.516858044523 & 3.30822734119283 \tabularnewline
0.29 & 88.2508918799743 & 3.67586783110033 \tabularnewline
0.3 & 89.050219914919 & 4.01498745584804 \tabularnewline
0.31 & 89.9072128906535 & 4.29801304405715 \tabularnewline
0.32 & 90.8095654114952 & 4.50446444608991 \tabularnewline
0.33 & 91.7419236714209 & 4.62322991135969 \tabularnewline
0.34 & 92.6880550867035 & 4.65590683634294 \tabularnewline
0.35 & 93.6332017010955 & 4.61603732828924 \tabularnewline
0.36 & 94.5662153485636 & 4.52828801056613 \tabularnewline
0.37 & 95.4811117646258 & 4.42458746620804 \tabularnewline
0.38 & 96.3777944309774 & 4.3392410335679 \tabularnewline
0.39 & 97.2618595014472 & 4.30356933939255 \tabularnewline
0.4 & 98.1435627781615 & 4.34041340564801 \tabularnewline
0.41 & 99.0361710129416 & 4.46033063842130 \tabularnewline
0.42 & 99.9540057740769 & 4.66070835712631 \tabularnewline
0.43 & 100.910507607268 & 4.92788534263975 \tabularnewline
0.44 & 101.916606292590 & 5.24040683384302 \tabularnewline
0.45 & 102.979596967357 & 5.5744768899194 \tabularnewline
0.46 & 104.102615182375 & 5.90601256558183 \tabularnewline
0.47 & 105.284699957737 & 6.21452420070974 \tabularnewline
0.48 & 106.521351131351 & 6.48419958460613 \tabularnewline
0.49 & 107.805436683021 & 6.70486014341996 \tabularnewline
0.5 & 109.128289855080 & 6.87253005062699 \tabularnewline
0.51 & 110.480849864066 & 6.98872715694013 \tabularnewline
0.52 & 111.854733373330 & 7.06029680399654 \tabularnewline
0.53 & 113.243163422391 & 7.09780976059866 \tabularnewline
0.54 & 114.641715219565 & 7.11464365327298 \tabularnewline
0.55 & 116.048854604195 & 7.1269638210245 \tabularnewline
0.56 & 117.466241846483 & 7.15183334664367 \tabularnewline
0.57 & 118.898755525184 & 7.20635651935011 \tabularnewline
0.58 & 120.354170981121 & 7.30560682769303 \tabularnewline
0.59 & 121.842422602006 & 7.46086247737138 \tabularnewline
0.6 & 123.374405601950 & 7.67579287379689 \tabularnewline
0.61 & 124.960340046781 & 7.94406106636584 \tabularnewline
0.62 & 126.607822956589 & 8.24749731048534 \tabularnewline
0.63 & 128.319812568687 & 8.55674387712328 \tabularnewline
0.64 & 130.092888695334 & 8.83350850049051 \tabularnewline
0.65 & 131.916177545800 & 9.03579041804163 \tabularnewline
0.66 & 133.771290637834 & 9.1245099676172 \tabularnewline
0.67 & 135.633498369136 & 9.06953424166248 \tabularnewline
0.68 & 137.474157957618 & 8.85638853189885 \tabularnewline
0.69 & 139.264182549396 & 8.48979667722967 \tabularnewline
0.7 & 140.978121665523 & 7.9953667528885 \tabularnewline
0.71 & 142.598264104989 & 7.4175437892417 \tabularnewline
0.72 & 144.118096319390 & 6.81678250930871 \tabularnewline
0.73 & 145.544457417584 & 6.26253330184638 \tabularnewline
0.74 & 146.897824336205 & 5.82623834808706 \tabularnewline
0.75 & 148.210342359666 & 5.56869813396088 \tabularnewline
0.76 & 149.521504508213 & 5.52525058368921 \tabularnewline
0.77 & 150.871793597004 & 5.68925084302654 \tabularnewline
0.78 & 152.295111668684 & 6.00805407112077 \tabularnewline
0.79 & 153.811337558020 & 6.39248380532062 \tabularnewline
0.8 & 155.420694879861 & 6.73649069103125 \tabularnewline
0.81 & 157.101561773361 & 6.93864367888347 \tabularnewline
0.82 & 158.812759050567 & 6.92194344595633 \tabularnewline
0.83 & 160.500254436387 & 6.65025239580845 \tabularnewline
0.84 & 162.106913723382 & 6.13566542100309 \tabularnewline
0.85 & 163.582903609158 & 5.43448811879422 \tabularnewline
0.86 & 164.894079919354 & 4.63187035709696 \tabularnewline
0.87 & 166.02637512016 & 3.82034388004983 \tabularnewline
0.88 & 166.985583534983 & 3.07918063332704 \tabularnewline
0.89 & 167.793404212606 & 2.46041121394613 \tabularnewline
0.9 & 168.481432070376 & 1.98628221006052 \tabularnewline
0.91 & 169.084606072677 & 1.65366175462503 \tabularnewline
0.92 & 169.634699163469 & 1.43975554302093 \tabularnewline
0.93 & 170.153767386924 & 1.30427175905278 \tabularnewline
0.94 & 170.648435274228 & 1.1903366589441 \tabularnewline
0.95 & 171.109141935273 & 1.03881149157952 \tabularnewline
0.96 & 171.52177770528 & 0.821732186981983 \tabularnewline
0.97 & 171.894128399119 & 0.58852940600287 \tabularnewline
0.98 & 172.272339025472 & 0.512700717634374 \tabularnewline
0.99 & 172.683189933050 & 0.725484951508648 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78766&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]67.621592462787[/C][C]3.70360898678229[/C][/ROW]
[ROW][C]0.02[/C][C]69.7117042182981[/C][C]2.55771157907025[/C][/ROW]
[ROW][C]0.03[/C][C]71.4736884439201[/C][C]2.19918698864224[/C][/ROW]
[ROW][C]0.04[/C][C]72.852919330493[/C][C]2.19468478386935[/C][/ROW]
[ROW][C]0.05[/C][C]74.0005239937622[/C][C]2.17829945985044[/C][/ROW]
[ROW][C]0.06[/C][C]75.0103265015833[/C][C]2.13453580275625[/C][/ROW]
[ROW][C]0.07[/C][C]75.9200249737463[/C][C]2.09585604702467[/C][/ROW]
[ROW][C]0.08[/C][C]76.7477380157309[/C][C]2.05192413930261[/C][/ROW]
[ROW][C]0.09[/C][C]77.504820334925[/C][C]1.98708038077843[/C][/ROW]
[ROW][C]0.1[/C][C]78.1990354539196[/C][C]1.90782796912108[/C][/ROW]
[ROW][C]0.11[/C][C]78.837634427079[/C][C]1.83522335656791[/C][/ROW]
[ROW][C]0.12[/C][C]79.4295471143569[/C][C]1.78698856686076[/C][/ROW]
[ROW][C]0.13[/C][C]79.9851490601138[/C][C]1.76764334949423[/C][/ROW]
[ROW][C]0.14[/C][C]80.514389358102[/C][C]1.77020433828411[/C][/ROW]
[ROW][C]0.15[/C][C]81.0249472798307[/C][C]1.78223872373973[/C][/ROW]
[ROW][C]0.16[/C][C]81.5214510393822[/C][C]1.79301573615049[/C][/ROW]
[ROW][C]0.17[/C][C]82.0058568284001[/C][C]1.79656601350126[/C][/ROW]
[ROW][C]0.18[/C][C]82.4785634129819[/C][C]1.79183182558507[/C][/ROW]
[ROW][C]0.19[/C][C]82.9397714106668[/C][C]1.78310085358638[/C][/ROW]
[ROW][C]0.2[/C][C]83.3907480182707[/C][C]1.77900634762857[/C][/ROW]
[ROW][C]0.21[/C][C]83.8348149167506[/C][C]1.79207525318478[/C][/ROW]
[ROW][C]0.22[/C][C]84.2779566283687[/C][C]1.83816050925531[/C][/ROW]
[ROW][C]0.23[/C][C]84.7289676395759[/C][C]1.93324506553607[/C][/ROW]
[ROW][C]0.24[/C][C]85.1990730161785[/C][C]2.09010469220602[/C][/ROW]
[ROW][C]0.25[/C][C]85.7010074632186[/C][C]2.31461840617577[/C][/ROW]
[ROW][C]0.26[/C][C]86.2476265704206[/C][C]2.60296215096595[/C][/ROW]
[ROW][C]0.27[/C][C]86.850229106683[/C][C]2.94141287978689[/C][/ROW]
[ROW][C]0.28[/C][C]87.516858044523[/C][C]3.30822734119283[/C][/ROW]
[ROW][C]0.29[/C][C]88.2508918799743[/C][C]3.67586783110033[/C][/ROW]
[ROW][C]0.3[/C][C]89.050219914919[/C][C]4.01498745584804[/C][/ROW]
[ROW][C]0.31[/C][C]89.9072128906535[/C][C]4.29801304405715[/C][/ROW]
[ROW][C]0.32[/C][C]90.8095654114952[/C][C]4.50446444608991[/C][/ROW]
[ROW][C]0.33[/C][C]91.7419236714209[/C][C]4.62322991135969[/C][/ROW]
[ROW][C]0.34[/C][C]92.6880550867035[/C][C]4.65590683634294[/C][/ROW]
[ROW][C]0.35[/C][C]93.6332017010955[/C][C]4.61603732828924[/C][/ROW]
[ROW][C]0.36[/C][C]94.5662153485636[/C][C]4.52828801056613[/C][/ROW]
[ROW][C]0.37[/C][C]95.4811117646258[/C][C]4.42458746620804[/C][/ROW]
[ROW][C]0.38[/C][C]96.3777944309774[/C][C]4.3392410335679[/C][/ROW]
[ROW][C]0.39[/C][C]97.2618595014472[/C][C]4.30356933939255[/C][/ROW]
[ROW][C]0.4[/C][C]98.1435627781615[/C][C]4.34041340564801[/C][/ROW]
[ROW][C]0.41[/C][C]99.0361710129416[/C][C]4.46033063842130[/C][/ROW]
[ROW][C]0.42[/C][C]99.9540057740769[/C][C]4.66070835712631[/C][/ROW]
[ROW][C]0.43[/C][C]100.910507607268[/C][C]4.92788534263975[/C][/ROW]
[ROW][C]0.44[/C][C]101.916606292590[/C][C]5.24040683384302[/C][/ROW]
[ROW][C]0.45[/C][C]102.979596967357[/C][C]5.5744768899194[/C][/ROW]
[ROW][C]0.46[/C][C]104.102615182375[/C][C]5.90601256558183[/C][/ROW]
[ROW][C]0.47[/C][C]105.284699957737[/C][C]6.21452420070974[/C][/ROW]
[ROW][C]0.48[/C][C]106.521351131351[/C][C]6.48419958460613[/C][/ROW]
[ROW][C]0.49[/C][C]107.805436683021[/C][C]6.70486014341996[/C][/ROW]
[ROW][C]0.5[/C][C]109.128289855080[/C][C]6.87253005062699[/C][/ROW]
[ROW][C]0.51[/C][C]110.480849864066[/C][C]6.98872715694013[/C][/ROW]
[ROW][C]0.52[/C][C]111.854733373330[/C][C]7.06029680399654[/C][/ROW]
[ROW][C]0.53[/C][C]113.243163422391[/C][C]7.09780976059866[/C][/ROW]
[ROW][C]0.54[/C][C]114.641715219565[/C][C]7.11464365327298[/C][/ROW]
[ROW][C]0.55[/C][C]116.048854604195[/C][C]7.1269638210245[/C][/ROW]
[ROW][C]0.56[/C][C]117.466241846483[/C][C]7.15183334664367[/C][/ROW]
[ROW][C]0.57[/C][C]118.898755525184[/C][C]7.20635651935011[/C][/ROW]
[ROW][C]0.58[/C][C]120.354170981121[/C][C]7.30560682769303[/C][/ROW]
[ROW][C]0.59[/C][C]121.842422602006[/C][C]7.46086247737138[/C][/ROW]
[ROW][C]0.6[/C][C]123.374405601950[/C][C]7.67579287379689[/C][/ROW]
[ROW][C]0.61[/C][C]124.960340046781[/C][C]7.94406106636584[/C][/ROW]
[ROW][C]0.62[/C][C]126.607822956589[/C][C]8.24749731048534[/C][/ROW]
[ROW][C]0.63[/C][C]128.319812568687[/C][C]8.55674387712328[/C][/ROW]
[ROW][C]0.64[/C][C]130.092888695334[/C][C]8.83350850049051[/C][/ROW]
[ROW][C]0.65[/C][C]131.916177545800[/C][C]9.03579041804163[/C][/ROW]
[ROW][C]0.66[/C][C]133.771290637834[/C][C]9.1245099676172[/C][/ROW]
[ROW][C]0.67[/C][C]135.633498369136[/C][C]9.06953424166248[/C][/ROW]
[ROW][C]0.68[/C][C]137.474157957618[/C][C]8.85638853189885[/C][/ROW]
[ROW][C]0.69[/C][C]139.264182549396[/C][C]8.48979667722967[/C][/ROW]
[ROW][C]0.7[/C][C]140.978121665523[/C][C]7.9953667528885[/C][/ROW]
[ROW][C]0.71[/C][C]142.598264104989[/C][C]7.4175437892417[/C][/ROW]
[ROW][C]0.72[/C][C]144.118096319390[/C][C]6.81678250930871[/C][/ROW]
[ROW][C]0.73[/C][C]145.544457417584[/C][C]6.26253330184638[/C][/ROW]
[ROW][C]0.74[/C][C]146.897824336205[/C][C]5.82623834808706[/C][/ROW]
[ROW][C]0.75[/C][C]148.210342359666[/C][C]5.56869813396088[/C][/ROW]
[ROW][C]0.76[/C][C]149.521504508213[/C][C]5.52525058368921[/C][/ROW]
[ROW][C]0.77[/C][C]150.871793597004[/C][C]5.68925084302654[/C][/ROW]
[ROW][C]0.78[/C][C]152.295111668684[/C][C]6.00805407112077[/C][/ROW]
[ROW][C]0.79[/C][C]153.811337558020[/C][C]6.39248380532062[/C][/ROW]
[ROW][C]0.8[/C][C]155.420694879861[/C][C]6.73649069103125[/C][/ROW]
[ROW][C]0.81[/C][C]157.101561773361[/C][C]6.93864367888347[/C][/ROW]
[ROW][C]0.82[/C][C]158.812759050567[/C][C]6.92194344595633[/C][/ROW]
[ROW][C]0.83[/C][C]160.500254436387[/C][C]6.65025239580845[/C][/ROW]
[ROW][C]0.84[/C][C]162.106913723382[/C][C]6.13566542100309[/C][/ROW]
[ROW][C]0.85[/C][C]163.582903609158[/C][C]5.43448811879422[/C][/ROW]
[ROW][C]0.86[/C][C]164.894079919354[/C][C]4.63187035709696[/C][/ROW]
[ROW][C]0.87[/C][C]166.02637512016[/C][C]3.82034388004983[/C][/ROW]
[ROW][C]0.88[/C][C]166.985583534983[/C][C]3.07918063332704[/C][/ROW]
[ROW][C]0.89[/C][C]167.793404212606[/C][C]2.46041121394613[/C][/ROW]
[ROW][C]0.9[/C][C]168.481432070376[/C][C]1.98628221006052[/C][/ROW]
[ROW][C]0.91[/C][C]169.084606072677[/C][C]1.65366175462503[/C][/ROW]
[ROW][C]0.92[/C][C]169.634699163469[/C][C]1.43975554302093[/C][/ROW]
[ROW][C]0.93[/C][C]170.153767386924[/C][C]1.30427175905278[/C][/ROW]
[ROW][C]0.94[/C][C]170.648435274228[/C][C]1.1903366589441[/C][/ROW]
[ROW][C]0.95[/C][C]171.109141935273[/C][C]1.03881149157952[/C][/ROW]
[ROW][C]0.96[/C][C]171.52177770528[/C][C]0.821732186981983[/C][/ROW]
[ROW][C]0.97[/C][C]171.894128399119[/C][C]0.58852940600287[/C][/ROW]
[ROW][C]0.98[/C][C]172.272339025472[/C][C]0.512700717634374[/C][/ROW]
[ROW][C]0.99[/C][C]172.683189933050[/C][C]0.725484951508648[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78766&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78766&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0167.6215924627873.70360898678229
0.0269.71170421829812.55771157907025
0.0371.47368844392012.19918698864224
0.0472.8529193304932.19468478386935
0.0574.00052399376222.17829945985044
0.0675.01032650158332.13453580275625
0.0775.92002497374632.09585604702467
0.0876.74773801573092.05192413930261
0.0977.5048203349251.98708038077843
0.178.19903545391961.90782796912108
0.1178.8376344270791.83522335656791
0.1279.42954711435691.78698856686076
0.1379.98514906011381.76764334949423
0.1480.5143893581021.77020433828411
0.1581.02494727983071.78223872373973
0.1681.52145103938221.79301573615049
0.1782.00585682840011.79656601350126
0.1882.47856341298191.79183182558507
0.1982.93977141066681.78310085358638
0.283.39074801827071.77900634762857
0.2183.83481491675061.79207525318478
0.2284.27795662836871.83816050925531
0.2384.72896763957591.93324506553607
0.2485.19907301617852.09010469220602
0.2585.70100746321862.31461840617577
0.2686.24762657042062.60296215096595
0.2786.8502291066832.94141287978689
0.2887.5168580445233.30822734119283
0.2988.25089187997433.67586783110033
0.389.0502199149194.01498745584804
0.3189.90721289065354.29801304405715
0.3290.80956541149524.50446444608991
0.3391.74192367142094.62322991135969
0.3492.68805508670354.65590683634294
0.3593.63320170109554.61603732828924
0.3694.56621534856364.52828801056613
0.3795.48111176462584.42458746620804
0.3896.37779443097744.3392410335679
0.3997.26185950144724.30356933939255
0.498.14356277816154.34041340564801
0.4199.03617101294164.46033063842130
0.4299.95400577407694.66070835712631
0.43100.9105076072684.92788534263975
0.44101.9166062925905.24040683384302
0.45102.9795969673575.5744768899194
0.46104.1026151823755.90601256558183
0.47105.2846999577376.21452420070974
0.48106.5213511313516.48419958460613
0.49107.8054366830216.70486014341996
0.5109.1282898550806.87253005062699
0.51110.4808498640666.98872715694013
0.52111.8547333733307.06029680399654
0.53113.2431634223917.09780976059866
0.54114.6417152195657.11464365327298
0.55116.0488546041957.1269638210245
0.56117.4662418464837.15183334664367
0.57118.8987555251847.20635651935011
0.58120.3541709811217.30560682769303
0.59121.8424226020067.46086247737138
0.6123.3744056019507.67579287379689
0.61124.9603400467817.94406106636584
0.62126.6078229565898.24749731048534
0.63128.3198125686878.55674387712328
0.64130.0928886953348.83350850049051
0.65131.9161775458009.03579041804163
0.66133.7712906378349.1245099676172
0.67135.6334983691369.06953424166248
0.68137.4741579576188.85638853189885
0.69139.2641825493968.48979667722967
0.7140.9781216655237.9953667528885
0.71142.5982641049897.4175437892417
0.72144.1180963193906.81678250930871
0.73145.5444574175846.26253330184638
0.74146.8978243362055.82623834808706
0.75148.2103423596665.56869813396088
0.76149.5215045082135.52525058368921
0.77150.8717935970045.68925084302654
0.78152.2951116686846.00805407112077
0.79153.8113375580206.39248380532062
0.8155.4206948798616.73649069103125
0.81157.1015617733616.93864367888347
0.82158.8127590505676.92194344595633
0.83160.5002544363876.65025239580845
0.84162.1069137233826.13566542100309
0.85163.5829036091585.43448811879422
0.86164.8940799193544.63187035709696
0.87166.026375120163.82034388004983
0.88166.9855835349833.07918063332704
0.89167.7934042126062.46041121394613
0.9168.4814320703761.98628221006052
0.91169.0846060726771.65366175462503
0.92169.6346991634691.43975554302093
0.93170.1537673869241.30427175905278
0.94170.6484352742281.1903366589441
0.95171.1091419352731.03881149157952
0.96171.521777705280.821732186981983
0.97171.8941283991190.58852940600287
0.98172.2723390254720.512700717634374
0.99172.6831899330500.725484951508648



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')