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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 computationSun, 15 Aug 2010 11:31:35 +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/15/t1281871855xhxq9zg61jzdw6j.htm/, Retrieved Sun, 28 Apr 2024 07:55:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78832, Retrieved Sun, 28 Apr 2024 07:55:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSebastien Delforge
Estimated Impact167

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] [Harrel-Davis perc...] [2010-08-15 11:31:35] [923770d86edf74ed976a539eae527e37] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
75
74
73
71
91
90
75
65
66
66
67
69
75
79
75
77
100
100
94
83
83
83
84
88
89
98
94
84
111
98
98
83
79
78
80
94
98
104
94
90
115
104
114
99
96
98
104
111
117
125
117
118
151
145
155
133
124
125
131
133
136
141
130
137
177
183
191
166
156
153
164
164
168
173
164
165
205
207
215
190
169
175
188
188
196
201
194
197
237
236
244
222
195
199
207
204
212
222
214
217
258
256
251
223
198
206
214
212
227
238
228
235
275
278
278
251
225
232
238
239

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 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 & 5 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78832&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]5 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=78832&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78832&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 time5 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0165.60666098734210.860951241951355
0.0266.60340588541751.51409913861973
0.0367.94011772123442.40138210521648
0.0469.55241183726682.86125152323655
0.0571.194397668922.80793912111481
0.0672.65310051566862.47250420886136
0.0773.86198024799832.14862312780035
0.0874.87539311487112.03504033092157
0.0975.79562610815692.15817547938759
0.176.71152671884752.41335683632801
0.1177.67037797919762.68394822402736
0.1278.68008223688572.90330249694462
0.1379.72695694449873.05963855860427
0.1480.79449527757993.17932028999082
0.1581.8748044849853.30426994829617
0.1682.97096104921873.46776316207805
0.1784.09251311256733.67551228440129
0.1885.2480377476663.90243837375091
0.1986.43872466117374.10585236013505
0.287.65569526012274.24615944495728
0.2188.8816547376784.30102444666402
0.2290.09551300934054.27044452217574
0.2391.2777391281514.17240472861655
0.2492.41462390999944.03564423502700
0.2593.50072388759173.89328492782557
0.2694.53972539376093.77995591501398
0.2795.54432147143733.73065816173406
0.2896.53547960635073.7796805901914
0.2997.5410671213623.95707411532896
0.398.59357668451354.28040731310696
0.3199.72682909005654.74742850089597
0.32100.9719398310725.33528011889747
0.33102.3532746278036.00321301769903
0.34103.8853344780286.70169123121488
0.35105.5713721868237.3811394525623
0.36107.4040925269118.00142438010568
0.37109.3682088382258.53783063887277
0.38111.4441475536858.98319800322817
0.39113.6119787762409.34718325837515
0.4115.8547491645539.65038795853847
0.41118.1607128224649.9191253430007
0.42120.52432681195910.1803762159964
0.43122.94613950339410.4581786610945
0.44125.43177982970910.7711056552181
0.45127.99019887218411.1298284692013
0.46130.63124809061111.5339053039277
0.47133.36272476745611.9678589884851
0.48136.18721448584912.4010703527125
0.49139.09933436762312.7898140814715
0.5142.08416790303513.0858459726786
0.51145.11762286403013.2467789607879
0.52148.16906950248213.2484477156085
0.53151.20599697666713.0914218316446
0.54154.19975312146512.8065537662923
0.55157.13094774709412.4488629350337
0.56159.99300167901812.0863896802616
0.57162.79269310700511.7844940330959
0.58165.54731686723411.5873147682371
0.59168.27902164486211.5055155565641
0.6171.00773905846311.5116210875229
0.61173.74459313804511.5468139072829
0.62176.48760758376111.5403395033936
0.63179.22090823321411.4281827491869
0.64181.91762741297411.1694891069632
0.65184.54566336034310.7549790553713
0.66187.07466659458710.2102382723162
0.67189.4823593975859.58467663112488
0.68191.7586098011018.94069910224374
0.69193.9064457899638.33769097603147
0.7195.9401344085507.8201004465847
0.71197.8812516083807.40904843602611
0.72199.7540932225317.10390852388847
0.73201.5817372358456.88718816582236
0.74203.3836397372186.73595717695865
0.75205.1750244824626.62893358839463
0.76206.9677303255136.55321229316696
0.77208.7717843470546.50310786186897
0.78210.5968632499516.47904150807042
0.79212.4530080223316.48332091302891
0.8214.3503990330016.514853847008
0.81216.2984828478396.56595741874747
0.82218.3049419224656.62521502712067
0.83220.3746511114236.6799840544498
0.84222.5080507499666.7167622514716
0.85224.6981416510286.71482304818239
0.86226.9266815715826.63802836079323
0.87229.1632759766136.44289257666169
0.88231.3738135671646.11146757116137
0.89233.5429431357375.70100626135394
0.9235.7057185562875.37757235663557
0.91237.9691673456805.37295367038750
0.92240.4993336915375.81215173194136
0.93243.4734027747886.54878901725169
0.94247.0500362383177.30545179346563
0.95251.4297837011678.08044003203545
0.96256.9311802914739.27458521092158
0.97263.70779257018510.5408341287778
0.98270.8713699689189.47402939372347
0.99276.1502032494734.51053085802081

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 65.6066609873421 & 0.860951241951355 \tabularnewline
0.02 & 66.6034058854175 & 1.51409913861973 \tabularnewline
0.03 & 67.9401177212344 & 2.40138210521648 \tabularnewline
0.04 & 69.5524118372668 & 2.86125152323655 \tabularnewline
0.05 & 71.19439766892 & 2.80793912111481 \tabularnewline
0.06 & 72.6531005156686 & 2.47250420886136 \tabularnewline
0.07 & 73.8619802479983 & 2.14862312780035 \tabularnewline
0.08 & 74.8753931148711 & 2.03504033092157 \tabularnewline
0.09 & 75.7956261081569 & 2.15817547938759 \tabularnewline
0.1 & 76.7115267188475 & 2.41335683632801 \tabularnewline
0.11 & 77.6703779791976 & 2.68394822402736 \tabularnewline
0.12 & 78.6800822368857 & 2.90330249694462 \tabularnewline
0.13 & 79.7269569444987 & 3.05963855860427 \tabularnewline
0.14 & 80.7944952775799 & 3.17932028999082 \tabularnewline
0.15 & 81.874804484985 & 3.30426994829617 \tabularnewline
0.16 & 82.9709610492187 & 3.46776316207805 \tabularnewline
0.17 & 84.0925131125673 & 3.67551228440129 \tabularnewline
0.18 & 85.248037747666 & 3.90243837375091 \tabularnewline
0.19 & 86.4387246611737 & 4.10585236013505 \tabularnewline
0.2 & 87.6556952601227 & 4.24615944495728 \tabularnewline
0.21 & 88.881654737678 & 4.30102444666402 \tabularnewline
0.22 & 90.0955130093405 & 4.27044452217574 \tabularnewline
0.23 & 91.277739128151 & 4.17240472861655 \tabularnewline
0.24 & 92.4146239099994 & 4.03564423502700 \tabularnewline
0.25 & 93.5007238875917 & 3.89328492782557 \tabularnewline
0.26 & 94.5397253937609 & 3.77995591501398 \tabularnewline
0.27 & 95.5443214714373 & 3.73065816173406 \tabularnewline
0.28 & 96.5354796063507 & 3.7796805901914 \tabularnewline
0.29 & 97.541067121362 & 3.95707411532896 \tabularnewline
0.3 & 98.5935766845135 & 4.28040731310696 \tabularnewline
0.31 & 99.7268290900565 & 4.74742850089597 \tabularnewline
0.32 & 100.971939831072 & 5.33528011889747 \tabularnewline
0.33 & 102.353274627803 & 6.00321301769903 \tabularnewline
0.34 & 103.885334478028 & 6.70169123121488 \tabularnewline
0.35 & 105.571372186823 & 7.3811394525623 \tabularnewline
0.36 & 107.404092526911 & 8.00142438010568 \tabularnewline
0.37 & 109.368208838225 & 8.53783063887277 \tabularnewline
0.38 & 111.444147553685 & 8.98319800322817 \tabularnewline
0.39 & 113.611978776240 & 9.34718325837515 \tabularnewline
0.4 & 115.854749164553 & 9.65038795853847 \tabularnewline
0.41 & 118.160712822464 & 9.9191253430007 \tabularnewline
0.42 & 120.524326811959 & 10.1803762159964 \tabularnewline
0.43 & 122.946139503394 & 10.4581786610945 \tabularnewline
0.44 & 125.431779829709 & 10.7711056552181 \tabularnewline
0.45 & 127.990198872184 & 11.1298284692013 \tabularnewline
0.46 & 130.631248090611 & 11.5339053039277 \tabularnewline
0.47 & 133.362724767456 & 11.9678589884851 \tabularnewline
0.48 & 136.187214485849 & 12.4010703527125 \tabularnewline
0.49 & 139.099334367623 & 12.7898140814715 \tabularnewline
0.5 & 142.084167903035 & 13.0858459726786 \tabularnewline
0.51 & 145.117622864030 & 13.2467789607879 \tabularnewline
0.52 & 148.169069502482 & 13.2484477156085 \tabularnewline
0.53 & 151.205996976667 & 13.0914218316446 \tabularnewline
0.54 & 154.199753121465 & 12.8065537662923 \tabularnewline
0.55 & 157.130947747094 & 12.4488629350337 \tabularnewline
0.56 & 159.993001679018 & 12.0863896802616 \tabularnewline
0.57 & 162.792693107005 & 11.7844940330959 \tabularnewline
0.58 & 165.547316867234 & 11.5873147682371 \tabularnewline
0.59 & 168.279021644862 & 11.5055155565641 \tabularnewline
0.6 & 171.007739058463 & 11.5116210875229 \tabularnewline
0.61 & 173.744593138045 & 11.5468139072829 \tabularnewline
0.62 & 176.487607583761 & 11.5403395033936 \tabularnewline
0.63 & 179.220908233214 & 11.4281827491869 \tabularnewline
0.64 & 181.917627412974 & 11.1694891069632 \tabularnewline
0.65 & 184.545663360343 & 10.7549790553713 \tabularnewline
0.66 & 187.074666594587 & 10.2102382723162 \tabularnewline
0.67 & 189.482359397585 & 9.58467663112488 \tabularnewline
0.68 & 191.758609801101 & 8.94069910224374 \tabularnewline
0.69 & 193.906445789963 & 8.33769097603147 \tabularnewline
0.7 & 195.940134408550 & 7.8201004465847 \tabularnewline
0.71 & 197.881251608380 & 7.40904843602611 \tabularnewline
0.72 & 199.754093222531 & 7.10390852388847 \tabularnewline
0.73 & 201.581737235845 & 6.88718816582236 \tabularnewline
0.74 & 203.383639737218 & 6.73595717695865 \tabularnewline
0.75 & 205.175024482462 & 6.62893358839463 \tabularnewline
0.76 & 206.967730325513 & 6.55321229316696 \tabularnewline
0.77 & 208.771784347054 & 6.50310786186897 \tabularnewline
0.78 & 210.596863249951 & 6.47904150807042 \tabularnewline
0.79 & 212.453008022331 & 6.48332091302891 \tabularnewline
0.8 & 214.350399033001 & 6.514853847008 \tabularnewline
0.81 & 216.298482847839 & 6.56595741874747 \tabularnewline
0.82 & 218.304941922465 & 6.62521502712067 \tabularnewline
0.83 & 220.374651111423 & 6.6799840544498 \tabularnewline
0.84 & 222.508050749966 & 6.7167622514716 \tabularnewline
0.85 & 224.698141651028 & 6.71482304818239 \tabularnewline
0.86 & 226.926681571582 & 6.63802836079323 \tabularnewline
0.87 & 229.163275976613 & 6.44289257666169 \tabularnewline
0.88 & 231.373813567164 & 6.11146757116137 \tabularnewline
0.89 & 233.542943135737 & 5.70100626135394 \tabularnewline
0.9 & 235.705718556287 & 5.37757235663557 \tabularnewline
0.91 & 237.969167345680 & 5.37295367038750 \tabularnewline
0.92 & 240.499333691537 & 5.81215173194136 \tabularnewline
0.93 & 243.473402774788 & 6.54878901725169 \tabularnewline
0.94 & 247.050036238317 & 7.30545179346563 \tabularnewline
0.95 & 251.429783701167 & 8.08044003203545 \tabularnewline
0.96 & 256.931180291473 & 9.27458521092158 \tabularnewline
0.97 & 263.707792570185 & 10.5408341287778 \tabularnewline
0.98 & 270.871369968918 & 9.47402939372347 \tabularnewline
0.99 & 276.150203249473 & 4.51053085802081 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78832&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]65.6066609873421[/C][C]0.860951241951355[/C][/ROW]
[ROW][C]0.02[/C][C]66.6034058854175[/C][C]1.51409913861973[/C][/ROW]
[ROW][C]0.03[/C][C]67.9401177212344[/C][C]2.40138210521648[/C][/ROW]
[ROW][C]0.04[/C][C]69.5524118372668[/C][C]2.86125152323655[/C][/ROW]
[ROW][C]0.05[/C][C]71.19439766892[/C][C]2.80793912111481[/C][/ROW]
[ROW][C]0.06[/C][C]72.6531005156686[/C][C]2.47250420886136[/C][/ROW]
[ROW][C]0.07[/C][C]73.8619802479983[/C][C]2.14862312780035[/C][/ROW]
[ROW][C]0.08[/C][C]74.8753931148711[/C][C]2.03504033092157[/C][/ROW]
[ROW][C]0.09[/C][C]75.7956261081569[/C][C]2.15817547938759[/C][/ROW]
[ROW][C]0.1[/C][C]76.7115267188475[/C][C]2.41335683632801[/C][/ROW]
[ROW][C]0.11[/C][C]77.6703779791976[/C][C]2.68394822402736[/C][/ROW]
[ROW][C]0.12[/C][C]78.6800822368857[/C][C]2.90330249694462[/C][/ROW]
[ROW][C]0.13[/C][C]79.7269569444987[/C][C]3.05963855860427[/C][/ROW]
[ROW][C]0.14[/C][C]80.7944952775799[/C][C]3.17932028999082[/C][/ROW]
[ROW][C]0.15[/C][C]81.874804484985[/C][C]3.30426994829617[/C][/ROW]
[ROW][C]0.16[/C][C]82.9709610492187[/C][C]3.46776316207805[/C][/ROW]
[ROW][C]0.17[/C][C]84.0925131125673[/C][C]3.67551228440129[/C][/ROW]
[ROW][C]0.18[/C][C]85.248037747666[/C][C]3.90243837375091[/C][/ROW]
[ROW][C]0.19[/C][C]86.4387246611737[/C][C]4.10585236013505[/C][/ROW]
[ROW][C]0.2[/C][C]87.6556952601227[/C][C]4.24615944495728[/C][/ROW]
[ROW][C]0.21[/C][C]88.881654737678[/C][C]4.30102444666402[/C][/ROW]
[ROW][C]0.22[/C][C]90.0955130093405[/C][C]4.27044452217574[/C][/ROW]
[ROW][C]0.23[/C][C]91.277739128151[/C][C]4.17240472861655[/C][/ROW]
[ROW][C]0.24[/C][C]92.4146239099994[/C][C]4.03564423502700[/C][/ROW]
[ROW][C]0.25[/C][C]93.5007238875917[/C][C]3.89328492782557[/C][/ROW]
[ROW][C]0.26[/C][C]94.5397253937609[/C][C]3.77995591501398[/C][/ROW]
[ROW][C]0.27[/C][C]95.5443214714373[/C][C]3.73065816173406[/C][/ROW]
[ROW][C]0.28[/C][C]96.5354796063507[/C][C]3.7796805901914[/C][/ROW]
[ROW][C]0.29[/C][C]97.541067121362[/C][C]3.95707411532896[/C][/ROW]
[ROW][C]0.3[/C][C]98.5935766845135[/C][C]4.28040731310696[/C][/ROW]
[ROW][C]0.31[/C][C]99.7268290900565[/C][C]4.74742850089597[/C][/ROW]
[ROW][C]0.32[/C][C]100.971939831072[/C][C]5.33528011889747[/C][/ROW]
[ROW][C]0.33[/C][C]102.353274627803[/C][C]6.00321301769903[/C][/ROW]
[ROW][C]0.34[/C][C]103.885334478028[/C][C]6.70169123121488[/C][/ROW]
[ROW][C]0.35[/C][C]105.571372186823[/C][C]7.3811394525623[/C][/ROW]
[ROW][C]0.36[/C][C]107.404092526911[/C][C]8.00142438010568[/C][/ROW]
[ROW][C]0.37[/C][C]109.368208838225[/C][C]8.53783063887277[/C][/ROW]
[ROW][C]0.38[/C][C]111.444147553685[/C][C]8.98319800322817[/C][/ROW]
[ROW][C]0.39[/C][C]113.611978776240[/C][C]9.34718325837515[/C][/ROW]
[ROW][C]0.4[/C][C]115.854749164553[/C][C]9.65038795853847[/C][/ROW]
[ROW][C]0.41[/C][C]118.160712822464[/C][C]9.9191253430007[/C][/ROW]
[ROW][C]0.42[/C][C]120.524326811959[/C][C]10.1803762159964[/C][/ROW]
[ROW][C]0.43[/C][C]122.946139503394[/C][C]10.4581786610945[/C][/ROW]
[ROW][C]0.44[/C][C]125.431779829709[/C][C]10.7711056552181[/C][/ROW]
[ROW][C]0.45[/C][C]127.990198872184[/C][C]11.1298284692013[/C][/ROW]
[ROW][C]0.46[/C][C]130.631248090611[/C][C]11.5339053039277[/C][/ROW]
[ROW][C]0.47[/C][C]133.362724767456[/C][C]11.9678589884851[/C][/ROW]
[ROW][C]0.48[/C][C]136.187214485849[/C][C]12.4010703527125[/C][/ROW]
[ROW][C]0.49[/C][C]139.099334367623[/C][C]12.7898140814715[/C][/ROW]
[ROW][C]0.5[/C][C]142.084167903035[/C][C]13.0858459726786[/C][/ROW]
[ROW][C]0.51[/C][C]145.117622864030[/C][C]13.2467789607879[/C][/ROW]
[ROW][C]0.52[/C][C]148.169069502482[/C][C]13.2484477156085[/C][/ROW]
[ROW][C]0.53[/C][C]151.205996976667[/C][C]13.0914218316446[/C][/ROW]
[ROW][C]0.54[/C][C]154.199753121465[/C][C]12.8065537662923[/C][/ROW]
[ROW][C]0.55[/C][C]157.130947747094[/C][C]12.4488629350337[/C][/ROW]
[ROW][C]0.56[/C][C]159.993001679018[/C][C]12.0863896802616[/C][/ROW]
[ROW][C]0.57[/C][C]162.792693107005[/C][C]11.7844940330959[/C][/ROW]
[ROW][C]0.58[/C][C]165.547316867234[/C][C]11.5873147682371[/C][/ROW]
[ROW][C]0.59[/C][C]168.279021644862[/C][C]11.5055155565641[/C][/ROW]
[ROW][C]0.6[/C][C]171.007739058463[/C][C]11.5116210875229[/C][/ROW]
[ROW][C]0.61[/C][C]173.744593138045[/C][C]11.5468139072829[/C][/ROW]
[ROW][C]0.62[/C][C]176.487607583761[/C][C]11.5403395033936[/C][/ROW]
[ROW][C]0.63[/C][C]179.220908233214[/C][C]11.4281827491869[/C][/ROW]
[ROW][C]0.64[/C][C]181.917627412974[/C][C]11.1694891069632[/C][/ROW]
[ROW][C]0.65[/C][C]184.545663360343[/C][C]10.7549790553713[/C][/ROW]
[ROW][C]0.66[/C][C]187.074666594587[/C][C]10.2102382723162[/C][/ROW]
[ROW][C]0.67[/C][C]189.482359397585[/C][C]9.58467663112488[/C][/ROW]
[ROW][C]0.68[/C][C]191.758609801101[/C][C]8.94069910224374[/C][/ROW]
[ROW][C]0.69[/C][C]193.906445789963[/C][C]8.33769097603147[/C][/ROW]
[ROW][C]0.7[/C][C]195.940134408550[/C][C]7.8201004465847[/C][/ROW]
[ROW][C]0.71[/C][C]197.881251608380[/C][C]7.40904843602611[/C][/ROW]
[ROW][C]0.72[/C][C]199.754093222531[/C][C]7.10390852388847[/C][/ROW]
[ROW][C]0.73[/C][C]201.581737235845[/C][C]6.88718816582236[/C][/ROW]
[ROW][C]0.74[/C][C]203.383639737218[/C][C]6.73595717695865[/C][/ROW]
[ROW][C]0.75[/C][C]205.175024482462[/C][C]6.62893358839463[/C][/ROW]
[ROW][C]0.76[/C][C]206.967730325513[/C][C]6.55321229316696[/C][/ROW]
[ROW][C]0.77[/C][C]208.771784347054[/C][C]6.50310786186897[/C][/ROW]
[ROW][C]0.78[/C][C]210.596863249951[/C][C]6.47904150807042[/C][/ROW]
[ROW][C]0.79[/C][C]212.453008022331[/C][C]6.48332091302891[/C][/ROW]
[ROW][C]0.8[/C][C]214.350399033001[/C][C]6.514853847008[/C][/ROW]
[ROW][C]0.81[/C][C]216.298482847839[/C][C]6.56595741874747[/C][/ROW]
[ROW][C]0.82[/C][C]218.304941922465[/C][C]6.62521502712067[/C][/ROW]
[ROW][C]0.83[/C][C]220.374651111423[/C][C]6.6799840544498[/C][/ROW]
[ROW][C]0.84[/C][C]222.508050749966[/C][C]6.7167622514716[/C][/ROW]
[ROW][C]0.85[/C][C]224.698141651028[/C][C]6.71482304818239[/C][/ROW]
[ROW][C]0.86[/C][C]226.926681571582[/C][C]6.63802836079323[/C][/ROW]
[ROW][C]0.87[/C][C]229.163275976613[/C][C]6.44289257666169[/C][/ROW]
[ROW][C]0.88[/C][C]231.373813567164[/C][C]6.11146757116137[/C][/ROW]
[ROW][C]0.89[/C][C]233.542943135737[/C][C]5.70100626135394[/C][/ROW]
[ROW][C]0.9[/C][C]235.705718556287[/C][C]5.37757235663557[/C][/ROW]
[ROW][C]0.91[/C][C]237.969167345680[/C][C]5.37295367038750[/C][/ROW]
[ROW][C]0.92[/C][C]240.499333691537[/C][C]5.81215173194136[/C][/ROW]
[ROW][C]0.93[/C][C]243.473402774788[/C][C]6.54878901725169[/C][/ROW]
[ROW][C]0.94[/C][C]247.050036238317[/C][C]7.30545179346563[/C][/ROW]
[ROW][C]0.95[/C][C]251.429783701167[/C][C]8.08044003203545[/C][/ROW]
[ROW][C]0.96[/C][C]256.931180291473[/C][C]9.27458521092158[/C][/ROW]
[ROW][C]0.97[/C][C]263.707792570185[/C][C]10.5408341287778[/C][/ROW]
[ROW][C]0.98[/C][C]270.871369968918[/C][C]9.47402939372347[/C][/ROW]
[ROW][C]0.99[/C][C]276.150203249473[/C][C]4.51053085802081[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78832&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78832&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
0.0165.60666098734210.860951241951355
0.0266.60340588541751.51409913861973
0.0367.94011772123442.40138210521648
0.0469.55241183726682.86125152323655
0.0571.194397668922.80793912111481
0.0672.65310051566862.47250420886136
0.0773.86198024799832.14862312780035
0.0874.87539311487112.03504033092157
0.0975.79562610815692.15817547938759
0.176.71152671884752.41335683632801
0.1177.67037797919762.68394822402736
0.1278.68008223688572.90330249694462
0.1379.72695694449873.05963855860427
0.1480.79449527757993.17932028999082
0.1581.8748044849853.30426994829617
0.1682.97096104921873.46776316207805
0.1784.09251311256733.67551228440129
0.1885.2480377476663.90243837375091
0.1986.43872466117374.10585236013505
0.287.65569526012274.24615944495728
0.2188.8816547376784.30102444666402
0.2290.09551300934054.27044452217574
0.2391.2777391281514.17240472861655
0.2492.41462390999944.03564423502700
0.2593.50072388759173.89328492782557
0.2694.53972539376093.77995591501398
0.2795.54432147143733.73065816173406
0.2896.53547960635073.7796805901914
0.2997.5410671213623.95707411532896
0.398.59357668451354.28040731310696
0.3199.72682909005654.74742850089597
0.32100.9719398310725.33528011889747
0.33102.3532746278036.00321301769903
0.34103.8853344780286.70169123121488
0.35105.5713721868237.3811394525623
0.36107.4040925269118.00142438010568
0.37109.3682088382258.53783063887277
0.38111.4441475536858.98319800322817
0.39113.6119787762409.34718325837515
0.4115.8547491645539.65038795853847
0.41118.1607128224649.9191253430007
0.42120.52432681195910.1803762159964
0.43122.94613950339410.4581786610945
0.44125.43177982970910.7711056552181
0.45127.99019887218411.1298284692013
0.46130.63124809061111.5339053039277
0.47133.36272476745611.9678589884851
0.48136.18721448584912.4010703527125
0.49139.09933436762312.7898140814715
0.5142.08416790303513.0858459726786
0.51145.11762286403013.2467789607879
0.52148.16906950248213.2484477156085
0.53151.20599697666713.0914218316446
0.54154.19975312146512.8065537662923
0.55157.13094774709412.4488629350337
0.56159.99300167901812.0863896802616
0.57162.79269310700511.7844940330959
0.58165.54731686723411.5873147682371
0.59168.27902164486211.5055155565641
0.6171.00773905846311.5116210875229
0.61173.74459313804511.5468139072829
0.62176.48760758376111.5403395033936
0.63179.22090823321411.4281827491869
0.64181.91762741297411.1694891069632
0.65184.54566336034310.7549790553713
0.66187.07466659458710.2102382723162
0.67189.4823593975859.58467663112488
0.68191.7586098011018.94069910224374
0.69193.9064457899638.33769097603147
0.7195.9401344085507.8201004465847
0.71197.8812516083807.40904843602611
0.72199.7540932225317.10390852388847
0.73201.5817372358456.88718816582236
0.74203.3836397372186.73595717695865
0.75205.1750244824626.62893358839463
0.76206.9677303255136.55321229316696
0.77208.7717843470546.50310786186897
0.78210.5968632499516.47904150807042
0.79212.4530080223316.48332091302891
0.8214.3503990330016.514853847008
0.81216.2984828478396.56595741874747
0.82218.3049419224656.62521502712067
0.83220.3746511114236.6799840544498
0.84222.5080507499666.7167622514716
0.85224.6981416510286.71482304818239
0.86226.9266815715826.63802836079323
0.87229.1632759766136.44289257666169
0.88231.3738135671646.11146757116137
0.89233.5429431357375.70100626135394
0.9235.7057185562875.37757235663557
0.91237.9691673456805.37295367038750
0.92240.4993336915375.81215173194136
0.93243.4734027747886.54878901725169
0.94247.0500362383177.30545179346563
0.95251.4297837011678.08044003203545
0.96256.9311802914739.27458521092158
0.97263.70779257018510.5408341287778
0.98270.8713699689189.47402939372347
0.99276.1502032494734.51053085802081


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')