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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 04 Aug 2010 13:58:08 +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/04/t1280930268t7fy4vhx4xdbmeq.htm/, Retrieved Fri, 03 May 2024 14:25:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78325, Retrieved Fri, 03 May 2024 14:25:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsBogaerts Yannik
Estimated Impact149

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] [Tijdreeks B stap 7] [2010-08-04 13:58:08] [1596366c2ece8f787477cc7d1246d4c7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
83
82
81
79
77
76
77
79
80
80
81
83
83
76
77
72
64
70
69
78
84
91
96
101
99
98
98
97
92
106
100
107
111
115
117
120
117
108
111
118
113
129
122
135
146
151
147
151
156
144
151
159
148
170
163
179
184
192
197
199
205
194
200
211
211
230
229
236
239
250
254
254
264
258
264
277
274
284
279
290
287
297
302
294

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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78325&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78325&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78325&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0165.72151439106953.90918371666567
0.0268.04758529430263.02400179142100
0.0370.14397662419522.86205568505083
0.0471.88554349281042.90931258758306
0.0573.34861424724832.74268099041584
0.0674.56500525345242.36031455852155
0.0775.54315211444561.92884575357979
0.0876.31418727578481.59727954503265
0.0976.93337848872411.42588119356066
0.177.46008578420581.3909146487002
0.1177.94161376392191.43450271347916
0.1278.40833900279211.51122717057419
0.1378.87700816998731.60154385579057
0.1479.35705167357861.70796355692889
0.1579.8563705805621.84685912254452
0.1680.38509554828162.04068691321514
0.1780.95712979356762.31128546524388
0.1881.58983620623492.67398033201336
0.1982.30233626865943.13207500005309
0.283.1128757929023.673807825173
0.2184.03575522489834.27126524695189
0.2285.07842966697374.88389114505773
0.2386.2394543090345.46403649660078
0.2487.50786707739955.96527308723029
0.2588.86431369639366.35179133096445
0.2690.2837882380426.60552604875408
0.2791.73942354685796.72889765713222
0.2893.20647653643236.7447104230517
0.2994.66561627936736.68927710091128
0.396.10484667041066.60482940305251
0.3197.51979653530676.52983388309046
0.3298.91255151709416.49104323447537
0.33100.2895484582106.50042345476784
0.34101.6592161216476.5557938664055
0.35103.0300061663226.6466234321277
0.36104.4092575762176.76044754962517
0.37105.8030550616566.88909873361524
0.38107.2169615092997.03313875632462
0.39108.6572912773867.20285301517093
0.4110.1324790937777.41743878297072
0.41111.6540932416357.70069887947959
0.42113.2371265145138.07594594852018
0.43114.8993500122608.55908926405802
0.44116.6597071221499.15299757571695
0.45118.53593125169.8430404786894
0.46120.54176161827710.5965946961254
0.47122.68427312415611.3668306750219
0.48124.96189435351712.0973589373298
0.49127.36363452795512.7323161930798
0.5129.86986671671613.2246391854052
0.51132.45473918105313.5458052963816
0.52135.08995735951013.6911969058795
0.53137.74936515287113.6846958539496
0.54140.41353034561113.5759016360504
0.55143.07346467197113.4350350307218
0.56145.73271173924713.3417704039350
0.57148.40730327648313.3709662718472
0.58151.12346646245713.5775671252838
0.59153.91338817399113.9826736022603
0.6156.80972400270114.5701459358405
0.61159.83980779044015.2873364115329
0.62163.02061929310216.0574414978273
0.63166.35547936938316.7929889029593
0.64169.83317010991817.4113860637628
0.65173.42975788627917.8488983040282
0.66177.11289433828618.0716211928889
0.67180.84786996811918.0823125792771
0.68184.60429525818417.9198326714358
0.69188.36207836439517.6545991029933
0.7192.11542346831017.3749653250328
0.71195.87390841068817.169555008036
0.72199.66026902761117.1065896711602
0.73203.50521065100017.2172400327116
0.74207.44022874932317.4857929009483
0.75211.48988751993117.8535297846274
0.76215.66515555452618.2325685283411
0.77219.95919285684618.5255163320582
0.78224.34648334393618.6440804509438
0.79228.78554594180118.5257062190287
0.8233.22478765665218.1422240621399
0.81237.61049247787417.5042284338780
0.82241.89551136892916.6596962497929
0.83246.04693939133115.6857266955267
0.84250.05099061699414.6763731726237
0.85253.91356291439913.7228304100886
0.86257.65581880804512.8903724739476
0.87261.30554263937112.1965514272576
0.88264.88673426748011.6035548590972
0.89268.41109273665911.0367842381693
0.9271.87484075508710.4185074237598
0.91275.2623912717029.70504374896788
0.92278.555370597638.90267636853323
0.93281.7430648271288.05572961297725
0.94284.8300764975967.21948601918533
0.95287.8400867770426.43266364351701
0.96290.8205939776065.70117968014158
0.97293.8492334207525.02155410996339
0.98296.9844448270244.51384912555385
0.99300.000303299514.52096702209392

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 65.7215143910695 & 3.90918371666567 \tabularnewline
0.02 & 68.0475852943026 & 3.02400179142100 \tabularnewline
0.03 & 70.1439766241952 & 2.86205568505083 \tabularnewline
0.04 & 71.8855434928104 & 2.90931258758306 \tabularnewline
0.05 & 73.3486142472483 & 2.74268099041584 \tabularnewline
0.06 & 74.5650052534524 & 2.36031455852155 \tabularnewline
0.07 & 75.5431521144456 & 1.92884575357979 \tabularnewline
0.08 & 76.3141872757848 & 1.59727954503265 \tabularnewline
0.09 & 76.9333784887241 & 1.42588119356066 \tabularnewline
0.1 & 77.4600857842058 & 1.3909146487002 \tabularnewline
0.11 & 77.9416137639219 & 1.43450271347916 \tabularnewline
0.12 & 78.4083390027921 & 1.51122717057419 \tabularnewline
0.13 & 78.8770081699873 & 1.60154385579057 \tabularnewline
0.14 & 79.3570516735786 & 1.70796355692889 \tabularnewline
0.15 & 79.856370580562 & 1.84685912254452 \tabularnewline
0.16 & 80.3850955482816 & 2.04068691321514 \tabularnewline
0.17 & 80.9571297935676 & 2.31128546524388 \tabularnewline
0.18 & 81.5898362062349 & 2.67398033201336 \tabularnewline
0.19 & 82.3023362686594 & 3.13207500005309 \tabularnewline
0.2 & 83.112875792902 & 3.673807825173 \tabularnewline
0.21 & 84.0357552248983 & 4.27126524695189 \tabularnewline
0.22 & 85.0784296669737 & 4.88389114505773 \tabularnewline
0.23 & 86.239454309034 & 5.46403649660078 \tabularnewline
0.24 & 87.5078670773995 & 5.96527308723029 \tabularnewline
0.25 & 88.8643136963936 & 6.35179133096445 \tabularnewline
0.26 & 90.283788238042 & 6.60552604875408 \tabularnewline
0.27 & 91.7394235468579 & 6.72889765713222 \tabularnewline
0.28 & 93.2064765364323 & 6.7447104230517 \tabularnewline
0.29 & 94.6656162793673 & 6.68927710091128 \tabularnewline
0.3 & 96.1048466704106 & 6.60482940305251 \tabularnewline
0.31 & 97.5197965353067 & 6.52983388309046 \tabularnewline
0.32 & 98.9125515170941 & 6.49104323447537 \tabularnewline
0.33 & 100.289548458210 & 6.50042345476784 \tabularnewline
0.34 & 101.659216121647 & 6.5557938664055 \tabularnewline
0.35 & 103.030006166322 & 6.6466234321277 \tabularnewline
0.36 & 104.409257576217 & 6.76044754962517 \tabularnewline
0.37 & 105.803055061656 & 6.88909873361524 \tabularnewline
0.38 & 107.216961509299 & 7.03313875632462 \tabularnewline
0.39 & 108.657291277386 & 7.20285301517093 \tabularnewline
0.4 & 110.132479093777 & 7.41743878297072 \tabularnewline
0.41 & 111.654093241635 & 7.70069887947959 \tabularnewline
0.42 & 113.237126514513 & 8.07594594852018 \tabularnewline
0.43 & 114.899350012260 & 8.55908926405802 \tabularnewline
0.44 & 116.659707122149 & 9.15299757571695 \tabularnewline
0.45 & 118.5359312516 & 9.8430404786894 \tabularnewline
0.46 & 120.541761618277 & 10.5965946961254 \tabularnewline
0.47 & 122.684273124156 & 11.3668306750219 \tabularnewline
0.48 & 124.961894353517 & 12.0973589373298 \tabularnewline
0.49 & 127.363634527955 & 12.7323161930798 \tabularnewline
0.5 & 129.869866716716 & 13.2246391854052 \tabularnewline
0.51 & 132.454739181053 & 13.5458052963816 \tabularnewline
0.52 & 135.089957359510 & 13.6911969058795 \tabularnewline
0.53 & 137.749365152871 & 13.6846958539496 \tabularnewline
0.54 & 140.413530345611 & 13.5759016360504 \tabularnewline
0.55 & 143.073464671971 & 13.4350350307218 \tabularnewline
0.56 & 145.732711739247 & 13.3417704039350 \tabularnewline
0.57 & 148.407303276483 & 13.3709662718472 \tabularnewline
0.58 & 151.123466462457 & 13.5775671252838 \tabularnewline
0.59 & 153.913388173991 & 13.9826736022603 \tabularnewline
0.6 & 156.809724002701 & 14.5701459358405 \tabularnewline
0.61 & 159.839807790440 & 15.2873364115329 \tabularnewline
0.62 & 163.020619293102 & 16.0574414978273 \tabularnewline
0.63 & 166.355479369383 & 16.7929889029593 \tabularnewline
0.64 & 169.833170109918 & 17.4113860637628 \tabularnewline
0.65 & 173.429757886279 & 17.8488983040282 \tabularnewline
0.66 & 177.112894338286 & 18.0716211928889 \tabularnewline
0.67 & 180.847869968119 & 18.0823125792771 \tabularnewline
0.68 & 184.604295258184 & 17.9198326714358 \tabularnewline
0.69 & 188.362078364395 & 17.6545991029933 \tabularnewline
0.7 & 192.115423468310 & 17.3749653250328 \tabularnewline
0.71 & 195.873908410688 & 17.169555008036 \tabularnewline
0.72 & 199.660269027611 & 17.1065896711602 \tabularnewline
0.73 & 203.505210651000 & 17.2172400327116 \tabularnewline
0.74 & 207.440228749323 & 17.4857929009483 \tabularnewline
0.75 & 211.489887519931 & 17.8535297846274 \tabularnewline
0.76 & 215.665155554526 & 18.2325685283411 \tabularnewline
0.77 & 219.959192856846 & 18.5255163320582 \tabularnewline
0.78 & 224.346483343936 & 18.6440804509438 \tabularnewline
0.79 & 228.785545941801 & 18.5257062190287 \tabularnewline
0.8 & 233.224787656652 & 18.1422240621399 \tabularnewline
0.81 & 237.610492477874 & 17.5042284338780 \tabularnewline
0.82 & 241.895511368929 & 16.6596962497929 \tabularnewline
0.83 & 246.046939391331 & 15.6857266955267 \tabularnewline
0.84 & 250.050990616994 & 14.6763731726237 \tabularnewline
0.85 & 253.913562914399 & 13.7228304100886 \tabularnewline
0.86 & 257.655818808045 & 12.8903724739476 \tabularnewline
0.87 & 261.305542639371 & 12.1965514272576 \tabularnewline
0.88 & 264.886734267480 & 11.6035548590972 \tabularnewline
0.89 & 268.411092736659 & 11.0367842381693 \tabularnewline
0.9 & 271.874840755087 & 10.4185074237598 \tabularnewline
0.91 & 275.262391271702 & 9.70504374896788 \tabularnewline
0.92 & 278.55537059763 & 8.90267636853323 \tabularnewline
0.93 & 281.743064827128 & 8.05572961297725 \tabularnewline
0.94 & 284.830076497596 & 7.21948601918533 \tabularnewline
0.95 & 287.840086777042 & 6.43266364351701 \tabularnewline
0.96 & 290.820593977606 & 5.70117968014158 \tabularnewline
0.97 & 293.849233420752 & 5.02155410996339 \tabularnewline
0.98 & 296.984444827024 & 4.51384912555385 \tabularnewline
0.99 & 300.00030329951 & 4.52096702209392 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78325&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]65.7215143910695[/C][C]3.90918371666567[/C][/ROW]
[ROW][C]0.02[/C][C]68.0475852943026[/C][C]3.02400179142100[/C][/ROW]
[ROW][C]0.03[/C][C]70.1439766241952[/C][C]2.86205568505083[/C][/ROW]
[ROW][C]0.04[/C][C]71.8855434928104[/C][C]2.90931258758306[/C][/ROW]
[ROW][C]0.05[/C][C]73.3486142472483[/C][C]2.74268099041584[/C][/ROW]
[ROW][C]0.06[/C][C]74.5650052534524[/C][C]2.36031455852155[/C][/ROW]
[ROW][C]0.07[/C][C]75.5431521144456[/C][C]1.92884575357979[/C][/ROW]
[ROW][C]0.08[/C][C]76.3141872757848[/C][C]1.59727954503265[/C][/ROW]
[ROW][C]0.09[/C][C]76.9333784887241[/C][C]1.42588119356066[/C][/ROW]
[ROW][C]0.1[/C][C]77.4600857842058[/C][C]1.3909146487002[/C][/ROW]
[ROW][C]0.11[/C][C]77.9416137639219[/C][C]1.43450271347916[/C][/ROW]
[ROW][C]0.12[/C][C]78.4083390027921[/C][C]1.51122717057419[/C][/ROW]
[ROW][C]0.13[/C][C]78.8770081699873[/C][C]1.60154385579057[/C][/ROW]
[ROW][C]0.14[/C][C]79.3570516735786[/C][C]1.70796355692889[/C][/ROW]
[ROW][C]0.15[/C][C]79.856370580562[/C][C]1.84685912254452[/C][/ROW]
[ROW][C]0.16[/C][C]80.3850955482816[/C][C]2.04068691321514[/C][/ROW]
[ROW][C]0.17[/C][C]80.9571297935676[/C][C]2.31128546524388[/C][/ROW]
[ROW][C]0.18[/C][C]81.5898362062349[/C][C]2.67398033201336[/C][/ROW]
[ROW][C]0.19[/C][C]82.3023362686594[/C][C]3.13207500005309[/C][/ROW]
[ROW][C]0.2[/C][C]83.112875792902[/C][C]3.673807825173[/C][/ROW]
[ROW][C]0.21[/C][C]84.0357552248983[/C][C]4.27126524695189[/C][/ROW]
[ROW][C]0.22[/C][C]85.0784296669737[/C][C]4.88389114505773[/C][/ROW]
[ROW][C]0.23[/C][C]86.239454309034[/C][C]5.46403649660078[/C][/ROW]
[ROW][C]0.24[/C][C]87.5078670773995[/C][C]5.96527308723029[/C][/ROW]
[ROW][C]0.25[/C][C]88.8643136963936[/C][C]6.35179133096445[/C][/ROW]
[ROW][C]0.26[/C][C]90.283788238042[/C][C]6.60552604875408[/C][/ROW]
[ROW][C]0.27[/C][C]91.7394235468579[/C][C]6.72889765713222[/C][/ROW]
[ROW][C]0.28[/C][C]93.2064765364323[/C][C]6.7447104230517[/C][/ROW]
[ROW][C]0.29[/C][C]94.6656162793673[/C][C]6.68927710091128[/C][/ROW]
[ROW][C]0.3[/C][C]96.1048466704106[/C][C]6.60482940305251[/C][/ROW]
[ROW][C]0.31[/C][C]97.5197965353067[/C][C]6.52983388309046[/C][/ROW]
[ROW][C]0.32[/C][C]98.9125515170941[/C][C]6.49104323447537[/C][/ROW]
[ROW][C]0.33[/C][C]100.289548458210[/C][C]6.50042345476784[/C][/ROW]
[ROW][C]0.34[/C][C]101.659216121647[/C][C]6.5557938664055[/C][/ROW]
[ROW][C]0.35[/C][C]103.030006166322[/C][C]6.6466234321277[/C][/ROW]
[ROW][C]0.36[/C][C]104.409257576217[/C][C]6.76044754962517[/C][/ROW]
[ROW][C]0.37[/C][C]105.803055061656[/C][C]6.88909873361524[/C][/ROW]
[ROW][C]0.38[/C][C]107.216961509299[/C][C]7.03313875632462[/C][/ROW]
[ROW][C]0.39[/C][C]108.657291277386[/C][C]7.20285301517093[/C][/ROW]
[ROW][C]0.4[/C][C]110.132479093777[/C][C]7.41743878297072[/C][/ROW]
[ROW][C]0.41[/C][C]111.654093241635[/C][C]7.70069887947959[/C][/ROW]
[ROW][C]0.42[/C][C]113.237126514513[/C][C]8.07594594852018[/C][/ROW]
[ROW][C]0.43[/C][C]114.899350012260[/C][C]8.55908926405802[/C][/ROW]
[ROW][C]0.44[/C][C]116.659707122149[/C][C]9.15299757571695[/C][/ROW]
[ROW][C]0.45[/C][C]118.5359312516[/C][C]9.8430404786894[/C][/ROW]
[ROW][C]0.46[/C][C]120.541761618277[/C][C]10.5965946961254[/C][/ROW]
[ROW][C]0.47[/C][C]122.684273124156[/C][C]11.3668306750219[/C][/ROW]
[ROW][C]0.48[/C][C]124.961894353517[/C][C]12.0973589373298[/C][/ROW]
[ROW][C]0.49[/C][C]127.363634527955[/C][C]12.7323161930798[/C][/ROW]
[ROW][C]0.5[/C][C]129.869866716716[/C][C]13.2246391854052[/C][/ROW]
[ROW][C]0.51[/C][C]132.454739181053[/C][C]13.5458052963816[/C][/ROW]
[ROW][C]0.52[/C][C]135.089957359510[/C][C]13.6911969058795[/C][/ROW]
[ROW][C]0.53[/C][C]137.749365152871[/C][C]13.6846958539496[/C][/ROW]
[ROW][C]0.54[/C][C]140.413530345611[/C][C]13.5759016360504[/C][/ROW]
[ROW][C]0.55[/C][C]143.073464671971[/C][C]13.4350350307218[/C][/ROW]
[ROW][C]0.56[/C][C]145.732711739247[/C][C]13.3417704039350[/C][/ROW]
[ROW][C]0.57[/C][C]148.407303276483[/C][C]13.3709662718472[/C][/ROW]
[ROW][C]0.58[/C][C]151.123466462457[/C][C]13.5775671252838[/C][/ROW]
[ROW][C]0.59[/C][C]153.913388173991[/C][C]13.9826736022603[/C][/ROW]
[ROW][C]0.6[/C][C]156.809724002701[/C][C]14.5701459358405[/C][/ROW]
[ROW][C]0.61[/C][C]159.839807790440[/C][C]15.2873364115329[/C][/ROW]
[ROW][C]0.62[/C][C]163.020619293102[/C][C]16.0574414978273[/C][/ROW]
[ROW][C]0.63[/C][C]166.355479369383[/C][C]16.7929889029593[/C][/ROW]
[ROW][C]0.64[/C][C]169.833170109918[/C][C]17.4113860637628[/C][/ROW]
[ROW][C]0.65[/C][C]173.429757886279[/C][C]17.8488983040282[/C][/ROW]
[ROW][C]0.66[/C][C]177.112894338286[/C][C]18.0716211928889[/C][/ROW]
[ROW][C]0.67[/C][C]180.847869968119[/C][C]18.0823125792771[/C][/ROW]
[ROW][C]0.68[/C][C]184.604295258184[/C][C]17.9198326714358[/C][/ROW]
[ROW][C]0.69[/C][C]188.362078364395[/C][C]17.6545991029933[/C][/ROW]
[ROW][C]0.7[/C][C]192.115423468310[/C][C]17.3749653250328[/C][/ROW]
[ROW][C]0.71[/C][C]195.873908410688[/C][C]17.169555008036[/C][/ROW]
[ROW][C]0.72[/C][C]199.660269027611[/C][C]17.1065896711602[/C][/ROW]
[ROW][C]0.73[/C][C]203.505210651000[/C][C]17.2172400327116[/C][/ROW]
[ROW][C]0.74[/C][C]207.440228749323[/C][C]17.4857929009483[/C][/ROW]
[ROW][C]0.75[/C][C]211.489887519931[/C][C]17.8535297846274[/C][/ROW]
[ROW][C]0.76[/C][C]215.665155554526[/C][C]18.2325685283411[/C][/ROW]
[ROW][C]0.77[/C][C]219.959192856846[/C][C]18.5255163320582[/C][/ROW]
[ROW][C]0.78[/C][C]224.346483343936[/C][C]18.6440804509438[/C][/ROW]
[ROW][C]0.79[/C][C]228.785545941801[/C][C]18.5257062190287[/C][/ROW]
[ROW][C]0.8[/C][C]233.224787656652[/C][C]18.1422240621399[/C][/ROW]
[ROW][C]0.81[/C][C]237.610492477874[/C][C]17.5042284338780[/C][/ROW]
[ROW][C]0.82[/C][C]241.895511368929[/C][C]16.6596962497929[/C][/ROW]
[ROW][C]0.83[/C][C]246.046939391331[/C][C]15.6857266955267[/C][/ROW]
[ROW][C]0.84[/C][C]250.050990616994[/C][C]14.6763731726237[/C][/ROW]
[ROW][C]0.85[/C][C]253.913562914399[/C][C]13.7228304100886[/C][/ROW]
[ROW][C]0.86[/C][C]257.655818808045[/C][C]12.8903724739476[/C][/ROW]
[ROW][C]0.87[/C][C]261.305542639371[/C][C]12.1965514272576[/C][/ROW]
[ROW][C]0.88[/C][C]264.886734267480[/C][C]11.6035548590972[/C][/ROW]
[ROW][C]0.89[/C][C]268.411092736659[/C][C]11.0367842381693[/C][/ROW]
[ROW][C]0.9[/C][C]271.874840755087[/C][C]10.4185074237598[/C][/ROW]
[ROW][C]0.91[/C][C]275.262391271702[/C][C]9.70504374896788[/C][/ROW]
[ROW][C]0.92[/C][C]278.55537059763[/C][C]8.90267636853323[/C][/ROW]
[ROW][C]0.93[/C][C]281.743064827128[/C][C]8.05572961297725[/C][/ROW]
[ROW][C]0.94[/C][C]284.830076497596[/C][C]7.21948601918533[/C][/ROW]
[ROW][C]0.95[/C][C]287.840086777042[/C][C]6.43266364351701[/C][/ROW]
[ROW][C]0.96[/C][C]290.820593977606[/C][C]5.70117968014158[/C][/ROW]
[ROW][C]0.97[/C][C]293.849233420752[/C][C]5.02155410996339[/C][/ROW]
[ROW][C]0.98[/C][C]296.984444827024[/C][C]4.51384912555385[/C][/ROW]
[ROW][C]0.99[/C][C]300.00030329951[/C][C]4.52096702209392[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78325&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78325&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
0.0165.72151439106953.90918371666567
0.0268.04758529430263.02400179142100
0.0370.14397662419522.86205568505083
0.0471.88554349281042.90931258758306
0.0573.34861424724832.74268099041584
0.0674.56500525345242.36031455852155
0.0775.54315211444561.92884575357979
0.0876.31418727578481.59727954503265
0.0976.93337848872411.42588119356066
0.177.46008578420581.3909146487002
0.1177.94161376392191.43450271347916
0.1278.40833900279211.51122717057419
0.1378.87700816998731.60154385579057
0.1479.35705167357861.70796355692889
0.1579.8563705805621.84685912254452
0.1680.38509554828162.04068691321514
0.1780.95712979356762.31128546524388
0.1881.58983620623492.67398033201336
0.1982.30233626865943.13207500005309
0.283.1128757929023.673807825173
0.2184.03575522489834.27126524695189
0.2285.07842966697374.88389114505773
0.2386.2394543090345.46403649660078
0.2487.50786707739955.96527308723029
0.2588.86431369639366.35179133096445
0.2690.2837882380426.60552604875408
0.2791.73942354685796.72889765713222
0.2893.20647653643236.7447104230517
0.2994.66561627936736.68927710091128
0.396.10484667041066.60482940305251
0.3197.51979653530676.52983388309046
0.3298.91255151709416.49104323447537
0.33100.2895484582106.50042345476784
0.34101.6592161216476.5557938664055
0.35103.0300061663226.6466234321277
0.36104.4092575762176.76044754962517
0.37105.8030550616566.88909873361524
0.38107.2169615092997.03313875632462
0.39108.6572912773867.20285301517093
0.4110.1324790937777.41743878297072
0.41111.6540932416357.70069887947959
0.42113.2371265145138.07594594852018
0.43114.8993500122608.55908926405802
0.44116.6597071221499.15299757571695
0.45118.53593125169.8430404786894
0.46120.54176161827710.5965946961254
0.47122.68427312415611.3668306750219
0.48124.96189435351712.0973589373298
0.49127.36363452795512.7323161930798
0.5129.86986671671613.2246391854052
0.51132.45473918105313.5458052963816
0.52135.08995735951013.6911969058795
0.53137.74936515287113.6846958539496
0.54140.41353034561113.5759016360504
0.55143.07346467197113.4350350307218
0.56145.73271173924713.3417704039350
0.57148.40730327648313.3709662718472
0.58151.12346646245713.5775671252838
0.59153.91338817399113.9826736022603
0.6156.80972400270114.5701459358405
0.61159.83980779044015.2873364115329
0.62163.02061929310216.0574414978273
0.63166.35547936938316.7929889029593
0.64169.83317010991817.4113860637628
0.65173.42975788627917.8488983040282
0.66177.11289433828618.0716211928889
0.67180.84786996811918.0823125792771
0.68184.60429525818417.9198326714358
0.69188.36207836439517.6545991029933
0.7192.11542346831017.3749653250328
0.71195.87390841068817.169555008036
0.72199.66026902761117.1065896711602
0.73203.50521065100017.2172400327116
0.74207.44022874932317.4857929009483
0.75211.48988751993117.8535297846274
0.76215.66515555452618.2325685283411
0.77219.95919285684618.5255163320582
0.78224.34648334393618.6440804509438
0.79228.78554594180118.5257062190287
0.8233.22478765665218.1422240621399
0.81237.61049247787417.5042284338780
0.82241.89551136892916.6596962497929
0.83246.04693939133115.6857266955267
0.84250.05099061699414.6763731726237
0.85253.91356291439913.7228304100886
0.86257.65581880804512.8903724739476
0.87261.30554263937112.1965514272576
0.88264.88673426748011.6035548590972
0.89268.41109273665911.0367842381693
0.9271.87484075508710.4185074237598
0.91275.2623912717029.70504374896788
0.92278.555370597638.90267636853323
0.93281.7430648271288.05572961297725
0.94284.8300764975967.21948601918533
0.95287.8400867770426.43266364351701
0.96290.8205939776065.70117968014158
0.97293.8492334207525.02155410996339
0.98296.9844448270244.51384912555385
0.99300.000303299514.52096702209392


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')