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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 computationFri, 13 Aug 2010 13:28:28 +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/13/t12817060805dkh0cycb4akmq4.htm/, Retrieved Mon, 06 May 2024 06:55:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78741, Retrieved Mon, 06 May 2024 06:55:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsReuben Vermoet
Estimated Impact164

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 1 - sta...] [2010-08-13 13:28:28] [2c3906e099e396db093769aeca236bf5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
210
209
208
206
226
225
210
200
201
201
202
204
197
196
187
196
221
218
200
191
194
192
199
196
182
178
169
177
207
213
191
182
188
189
194
195
171
165
156
170
201
208
189
175
184
187
193
199
179
188
171
182
212
216
192
182
183
183
187
190
167
167
158
171
201
208
181
169
173
180
181
192
169
168
156
161
195
208
176
164
170
175
170
175
148
151
143
139
166
186
149
142
138
137
130
138
118
113
99
93
125
146
109
97
97
94
92
103
78
72
57
40
70
89
53
46
43
38
29
34

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=78741&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=78741&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78741&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
0.0132.29270346300194.53432382474376
0.0236.78597197429464.90794407793295
0.0341.22215330417146.57302257404262
0.0446.10340087653389.2392346649155
0.0551.845077695078312.0212449332118
0.0658.370908624060814.1137828553782
0.0765.280903115398815.0968758753848
0.0872.089115440050414.9586476582218
0.0978.400521019778213.9865407945554
0.184.003453627199312.6419382084002
0.1188.889661077530511.4475887143658
0.1293.218428084980110.8485335171541
0.1397.242217707376811.0447491867411
0.14101.21827633361811.9118652098988
0.15105.33422585691713.1061688490409
0.16109.66797503767014.2415623063578
0.17114.18711333418615.0092367810523
0.18118.77916626151615.2382680579891
0.19123.29699616784514.9097955024878
0.2127.60334678619914.1355634789468
0.21131.60274366041013.1065738006001
0.22135.25521615570412.0319850701357
0.23138.57256188745211.0831113563821
0.24141.60249404716710.3555732610370
0.25144.40799571829.86230277879657
0.26147.0485232280559.54910742816305
0.27149.5672549541849.32858822629856
0.28151.9856908600959.11104433671516
0.29154.3046511349358.8249114416821
0.3156.5095601949788.4281339042336
0.31158.5777155422077.90744221449422
0.32160.4856316219917.2771166825905
0.33162.2151410962316.5725143388956
0.34163.7575150915325.83972920893875
0.35165.1153565972665.12939926807313
0.36166.3024133304124.48826128531948
0.37167.3417364514883.9536494488791
0.38168.2627637838953.54998319698617
0.39169.0979307363483.28659560693147
0.4169.8793368838533.15767132124846
0.41170.635867059033.14365206365636
0.42171.3910251149733.21502901004691
0.43172.1616098910643.33866655738166
0.44172.9572525375903.48252456574495
0.45173.7807427801283.61794119846932
0.46174.6290032364103.72328411022194
0.47175.4945322757313.78376239483038
0.48176.3671272489073.79263193341297
0.49177.2357086595483.74962884389831
0.5178.0900722129963.66257148775692
0.51178.9223878675703.54512184919299
0.52179.7282527567673.41388090450043
0.53180.5071187687713.28844043852715
0.54181.2619888209423.18423341304446
0.55181.9984177223583.11155913031367
0.56182.7230322902813.07144830405904
0.57183.4419346830223.0570375254524
0.58184.1594016840833.05572441928524
0.59184.8772041500813.05352438049967
0.6185.5946678419243.03935782782330
0.61186.3093568205043.00784643945095
0.62187.0180802263742.95915681849706
0.63187.7178711196042.89741059839112
0.64188.4066693097892.8284931742368
0.65189.0836046609712.75846727429736
0.66189.7489405761352.69155595664659
0.67190.4038330346052.63038050712747
0.68191.0500686432712.57657485118494
0.69191.6898900214742.53095255793295
0.7192.3259396117642.49496557178984
0.71192.9612819699902.46995453252271
0.72193.5994072472642.45762358353976
0.73194.2440800619652.4584633912903
0.74194.8989049884592.47220844553387
0.75195.5665790225442.49385050255413
0.76196.2480169772732.51508663935848
0.77196.9418095279852.52486019198217
0.78197.6446379856882.51366072605808
0.79198.3531037868622.48074350151591
0.8199.0668021209062.43982786277199
0.81199.7915037041392.41876479539728
0.82200.5404736783582.45044636756507
0.83201.3319436437532.55298066066894
0.84202.1821068110242.70951905653870
0.85203.0955998683942.86362361422347
0.86204.0581098158112.93978852204118
0.87205.0365795975142.87799810883041
0.88205.9899571313362.66781780588241
0.89206.8879921093132.36431217666172
0.9207.7303381028212.07567669913651
0.91208.5572523073841.9243079277883
0.92209.4478625797061.99278295030665
0.93210.5084839730182.28878050898389
0.94211.8560741838972.75724504487928
0.95213.6006304031373.29845462716648
0.96215.8289887920653.78364788024448
0.97218.5731626283304.08444088649341
0.98221.6785631305623.92281332245102
0.99224.5171561595312.64315906642749

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 32.2927034630019 & 4.53432382474376 \tabularnewline
0.02 & 36.7859719742946 & 4.90794407793295 \tabularnewline
0.03 & 41.2221533041714 & 6.57302257404262 \tabularnewline
0.04 & 46.1034008765338 & 9.2392346649155 \tabularnewline
0.05 & 51.8450776950783 & 12.0212449332118 \tabularnewline
0.06 & 58.3709086240608 & 14.1137828553782 \tabularnewline
0.07 & 65.2809031153988 & 15.0968758753848 \tabularnewline
0.08 & 72.0891154400504 & 14.9586476582218 \tabularnewline
0.09 & 78.4005210197782 & 13.9865407945554 \tabularnewline
0.1 & 84.0034536271993 & 12.6419382084002 \tabularnewline
0.11 & 88.8896610775305 & 11.4475887143658 \tabularnewline
0.12 & 93.2184280849801 & 10.8485335171541 \tabularnewline
0.13 & 97.2422177073768 & 11.0447491867411 \tabularnewline
0.14 & 101.218276333618 & 11.9118652098988 \tabularnewline
0.15 & 105.334225856917 & 13.1061688490409 \tabularnewline
0.16 & 109.667975037670 & 14.2415623063578 \tabularnewline
0.17 & 114.187113334186 & 15.0092367810523 \tabularnewline
0.18 & 118.779166261516 & 15.2382680579891 \tabularnewline
0.19 & 123.296996167845 & 14.9097955024878 \tabularnewline
0.2 & 127.603346786199 & 14.1355634789468 \tabularnewline
0.21 & 131.602743660410 & 13.1065738006001 \tabularnewline
0.22 & 135.255216155704 & 12.0319850701357 \tabularnewline
0.23 & 138.572561887452 & 11.0831113563821 \tabularnewline
0.24 & 141.602494047167 & 10.3555732610370 \tabularnewline
0.25 & 144.4079957182 & 9.86230277879657 \tabularnewline
0.26 & 147.048523228055 & 9.54910742816305 \tabularnewline
0.27 & 149.567254954184 & 9.32858822629856 \tabularnewline
0.28 & 151.985690860095 & 9.11104433671516 \tabularnewline
0.29 & 154.304651134935 & 8.8249114416821 \tabularnewline
0.3 & 156.509560194978 & 8.4281339042336 \tabularnewline
0.31 & 158.577715542207 & 7.90744221449422 \tabularnewline
0.32 & 160.485631621991 & 7.2771166825905 \tabularnewline
0.33 & 162.215141096231 & 6.5725143388956 \tabularnewline
0.34 & 163.757515091532 & 5.83972920893875 \tabularnewline
0.35 & 165.115356597266 & 5.12939926807313 \tabularnewline
0.36 & 166.302413330412 & 4.48826128531948 \tabularnewline
0.37 & 167.341736451488 & 3.9536494488791 \tabularnewline
0.38 & 168.262763783895 & 3.54998319698617 \tabularnewline
0.39 & 169.097930736348 & 3.28659560693147 \tabularnewline
0.4 & 169.879336883853 & 3.15767132124846 \tabularnewline
0.41 & 170.63586705903 & 3.14365206365636 \tabularnewline
0.42 & 171.391025114973 & 3.21502901004691 \tabularnewline
0.43 & 172.161609891064 & 3.33866655738166 \tabularnewline
0.44 & 172.957252537590 & 3.48252456574495 \tabularnewline
0.45 & 173.780742780128 & 3.61794119846932 \tabularnewline
0.46 & 174.629003236410 & 3.72328411022194 \tabularnewline
0.47 & 175.494532275731 & 3.78376239483038 \tabularnewline
0.48 & 176.367127248907 & 3.79263193341297 \tabularnewline
0.49 & 177.235708659548 & 3.74962884389831 \tabularnewline
0.5 & 178.090072212996 & 3.66257148775692 \tabularnewline
0.51 & 178.922387867570 & 3.54512184919299 \tabularnewline
0.52 & 179.728252756767 & 3.41388090450043 \tabularnewline
0.53 & 180.507118768771 & 3.28844043852715 \tabularnewline
0.54 & 181.261988820942 & 3.18423341304446 \tabularnewline
0.55 & 181.998417722358 & 3.11155913031367 \tabularnewline
0.56 & 182.723032290281 & 3.07144830405904 \tabularnewline
0.57 & 183.441934683022 & 3.0570375254524 \tabularnewline
0.58 & 184.159401684083 & 3.05572441928524 \tabularnewline
0.59 & 184.877204150081 & 3.05352438049967 \tabularnewline
0.6 & 185.594667841924 & 3.03935782782330 \tabularnewline
0.61 & 186.309356820504 & 3.00784643945095 \tabularnewline
0.62 & 187.018080226374 & 2.95915681849706 \tabularnewline
0.63 & 187.717871119604 & 2.89741059839112 \tabularnewline
0.64 & 188.406669309789 & 2.8284931742368 \tabularnewline
0.65 & 189.083604660971 & 2.75846727429736 \tabularnewline
0.66 & 189.748940576135 & 2.69155595664659 \tabularnewline
0.67 & 190.403833034605 & 2.63038050712747 \tabularnewline
0.68 & 191.050068643271 & 2.57657485118494 \tabularnewline
0.69 & 191.689890021474 & 2.53095255793295 \tabularnewline
0.7 & 192.325939611764 & 2.49496557178984 \tabularnewline
0.71 & 192.961281969990 & 2.46995453252271 \tabularnewline
0.72 & 193.599407247264 & 2.45762358353976 \tabularnewline
0.73 & 194.244080061965 & 2.4584633912903 \tabularnewline
0.74 & 194.898904988459 & 2.47220844553387 \tabularnewline
0.75 & 195.566579022544 & 2.49385050255413 \tabularnewline
0.76 & 196.248016977273 & 2.51508663935848 \tabularnewline
0.77 & 196.941809527985 & 2.52486019198217 \tabularnewline
0.78 & 197.644637985688 & 2.51366072605808 \tabularnewline
0.79 & 198.353103786862 & 2.48074350151591 \tabularnewline
0.8 & 199.066802120906 & 2.43982786277199 \tabularnewline
0.81 & 199.791503704139 & 2.41876479539728 \tabularnewline
0.82 & 200.540473678358 & 2.45044636756507 \tabularnewline
0.83 & 201.331943643753 & 2.55298066066894 \tabularnewline
0.84 & 202.182106811024 & 2.70951905653870 \tabularnewline
0.85 & 203.095599868394 & 2.86362361422347 \tabularnewline
0.86 & 204.058109815811 & 2.93978852204118 \tabularnewline
0.87 & 205.036579597514 & 2.87799810883041 \tabularnewline
0.88 & 205.989957131336 & 2.66781780588241 \tabularnewline
0.89 & 206.887992109313 & 2.36431217666172 \tabularnewline
0.9 & 207.730338102821 & 2.07567669913651 \tabularnewline
0.91 & 208.557252307384 & 1.9243079277883 \tabularnewline
0.92 & 209.447862579706 & 1.99278295030665 \tabularnewline
0.93 & 210.508483973018 & 2.28878050898389 \tabularnewline
0.94 & 211.856074183897 & 2.75724504487928 \tabularnewline
0.95 & 213.600630403137 & 3.29845462716648 \tabularnewline
0.96 & 215.828988792065 & 3.78364788024448 \tabularnewline
0.97 & 218.573162628330 & 4.08444088649341 \tabularnewline
0.98 & 221.678563130562 & 3.92281332245102 \tabularnewline
0.99 & 224.517156159531 & 2.64315906642749 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78741&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]32.2927034630019[/C][C]4.53432382474376[/C][/ROW]
[ROW][C]0.02[/C][C]36.7859719742946[/C][C]4.90794407793295[/C][/ROW]
[ROW][C]0.03[/C][C]41.2221533041714[/C][C]6.57302257404262[/C][/ROW]
[ROW][C]0.04[/C][C]46.1034008765338[/C][C]9.2392346649155[/C][/ROW]
[ROW][C]0.05[/C][C]51.8450776950783[/C][C]12.0212449332118[/C][/ROW]
[ROW][C]0.06[/C][C]58.3709086240608[/C][C]14.1137828553782[/C][/ROW]
[ROW][C]0.07[/C][C]65.2809031153988[/C][C]15.0968758753848[/C][/ROW]
[ROW][C]0.08[/C][C]72.0891154400504[/C][C]14.9586476582218[/C][/ROW]
[ROW][C]0.09[/C][C]78.4005210197782[/C][C]13.9865407945554[/C][/ROW]
[ROW][C]0.1[/C][C]84.0034536271993[/C][C]12.6419382084002[/C][/ROW]
[ROW][C]0.11[/C][C]88.8896610775305[/C][C]11.4475887143658[/C][/ROW]
[ROW][C]0.12[/C][C]93.2184280849801[/C][C]10.8485335171541[/C][/ROW]
[ROW][C]0.13[/C][C]97.2422177073768[/C][C]11.0447491867411[/C][/ROW]
[ROW][C]0.14[/C][C]101.218276333618[/C][C]11.9118652098988[/C][/ROW]
[ROW][C]0.15[/C][C]105.334225856917[/C][C]13.1061688490409[/C][/ROW]
[ROW][C]0.16[/C][C]109.667975037670[/C][C]14.2415623063578[/C][/ROW]
[ROW][C]0.17[/C][C]114.187113334186[/C][C]15.0092367810523[/C][/ROW]
[ROW][C]0.18[/C][C]118.779166261516[/C][C]15.2382680579891[/C][/ROW]
[ROW][C]0.19[/C][C]123.296996167845[/C][C]14.9097955024878[/C][/ROW]
[ROW][C]0.2[/C][C]127.603346786199[/C][C]14.1355634789468[/C][/ROW]
[ROW][C]0.21[/C][C]131.602743660410[/C][C]13.1065738006001[/C][/ROW]
[ROW][C]0.22[/C][C]135.255216155704[/C][C]12.0319850701357[/C][/ROW]
[ROW][C]0.23[/C][C]138.572561887452[/C][C]11.0831113563821[/C][/ROW]
[ROW][C]0.24[/C][C]141.602494047167[/C][C]10.3555732610370[/C][/ROW]
[ROW][C]0.25[/C][C]144.4079957182[/C][C]9.86230277879657[/C][/ROW]
[ROW][C]0.26[/C][C]147.048523228055[/C][C]9.54910742816305[/C][/ROW]
[ROW][C]0.27[/C][C]149.567254954184[/C][C]9.32858822629856[/C][/ROW]
[ROW][C]0.28[/C][C]151.985690860095[/C][C]9.11104433671516[/C][/ROW]
[ROW][C]0.29[/C][C]154.304651134935[/C][C]8.8249114416821[/C][/ROW]
[ROW][C]0.3[/C][C]156.509560194978[/C][C]8.4281339042336[/C][/ROW]
[ROW][C]0.31[/C][C]158.577715542207[/C][C]7.90744221449422[/C][/ROW]
[ROW][C]0.32[/C][C]160.485631621991[/C][C]7.2771166825905[/C][/ROW]
[ROW][C]0.33[/C][C]162.215141096231[/C][C]6.5725143388956[/C][/ROW]
[ROW][C]0.34[/C][C]163.757515091532[/C][C]5.83972920893875[/C][/ROW]
[ROW][C]0.35[/C][C]165.115356597266[/C][C]5.12939926807313[/C][/ROW]
[ROW][C]0.36[/C][C]166.302413330412[/C][C]4.48826128531948[/C][/ROW]
[ROW][C]0.37[/C][C]167.341736451488[/C][C]3.9536494488791[/C][/ROW]
[ROW][C]0.38[/C][C]168.262763783895[/C][C]3.54998319698617[/C][/ROW]
[ROW][C]0.39[/C][C]169.097930736348[/C][C]3.28659560693147[/C][/ROW]
[ROW][C]0.4[/C][C]169.879336883853[/C][C]3.15767132124846[/C][/ROW]
[ROW][C]0.41[/C][C]170.63586705903[/C][C]3.14365206365636[/C][/ROW]
[ROW][C]0.42[/C][C]171.391025114973[/C][C]3.21502901004691[/C][/ROW]
[ROW][C]0.43[/C][C]172.161609891064[/C][C]3.33866655738166[/C][/ROW]
[ROW][C]0.44[/C][C]172.957252537590[/C][C]3.48252456574495[/C][/ROW]
[ROW][C]0.45[/C][C]173.780742780128[/C][C]3.61794119846932[/C][/ROW]
[ROW][C]0.46[/C][C]174.629003236410[/C][C]3.72328411022194[/C][/ROW]
[ROW][C]0.47[/C][C]175.494532275731[/C][C]3.78376239483038[/C][/ROW]
[ROW][C]0.48[/C][C]176.367127248907[/C][C]3.79263193341297[/C][/ROW]
[ROW][C]0.49[/C][C]177.235708659548[/C][C]3.74962884389831[/C][/ROW]
[ROW][C]0.5[/C][C]178.090072212996[/C][C]3.66257148775692[/C][/ROW]
[ROW][C]0.51[/C][C]178.922387867570[/C][C]3.54512184919299[/C][/ROW]
[ROW][C]0.52[/C][C]179.728252756767[/C][C]3.41388090450043[/C][/ROW]
[ROW][C]0.53[/C][C]180.507118768771[/C][C]3.28844043852715[/C][/ROW]
[ROW][C]0.54[/C][C]181.261988820942[/C][C]3.18423341304446[/C][/ROW]
[ROW][C]0.55[/C][C]181.998417722358[/C][C]3.11155913031367[/C][/ROW]
[ROW][C]0.56[/C][C]182.723032290281[/C][C]3.07144830405904[/C][/ROW]
[ROW][C]0.57[/C][C]183.441934683022[/C][C]3.0570375254524[/C][/ROW]
[ROW][C]0.58[/C][C]184.159401684083[/C][C]3.05572441928524[/C][/ROW]
[ROW][C]0.59[/C][C]184.877204150081[/C][C]3.05352438049967[/C][/ROW]
[ROW][C]0.6[/C][C]185.594667841924[/C][C]3.03935782782330[/C][/ROW]
[ROW][C]0.61[/C][C]186.309356820504[/C][C]3.00784643945095[/C][/ROW]
[ROW][C]0.62[/C][C]187.018080226374[/C][C]2.95915681849706[/C][/ROW]
[ROW][C]0.63[/C][C]187.717871119604[/C][C]2.89741059839112[/C][/ROW]
[ROW][C]0.64[/C][C]188.406669309789[/C][C]2.8284931742368[/C][/ROW]
[ROW][C]0.65[/C][C]189.083604660971[/C][C]2.75846727429736[/C][/ROW]
[ROW][C]0.66[/C][C]189.748940576135[/C][C]2.69155595664659[/C][/ROW]
[ROW][C]0.67[/C][C]190.403833034605[/C][C]2.63038050712747[/C][/ROW]
[ROW][C]0.68[/C][C]191.050068643271[/C][C]2.57657485118494[/C][/ROW]
[ROW][C]0.69[/C][C]191.689890021474[/C][C]2.53095255793295[/C][/ROW]
[ROW][C]0.7[/C][C]192.325939611764[/C][C]2.49496557178984[/C][/ROW]
[ROW][C]0.71[/C][C]192.961281969990[/C][C]2.46995453252271[/C][/ROW]
[ROW][C]0.72[/C][C]193.599407247264[/C][C]2.45762358353976[/C][/ROW]
[ROW][C]0.73[/C][C]194.244080061965[/C][C]2.4584633912903[/C][/ROW]
[ROW][C]0.74[/C][C]194.898904988459[/C][C]2.47220844553387[/C][/ROW]
[ROW][C]0.75[/C][C]195.566579022544[/C][C]2.49385050255413[/C][/ROW]
[ROW][C]0.76[/C][C]196.248016977273[/C][C]2.51508663935848[/C][/ROW]
[ROW][C]0.77[/C][C]196.941809527985[/C][C]2.52486019198217[/C][/ROW]
[ROW][C]0.78[/C][C]197.644637985688[/C][C]2.51366072605808[/C][/ROW]
[ROW][C]0.79[/C][C]198.353103786862[/C][C]2.48074350151591[/C][/ROW]
[ROW][C]0.8[/C][C]199.066802120906[/C][C]2.43982786277199[/C][/ROW]
[ROW][C]0.81[/C][C]199.791503704139[/C][C]2.41876479539728[/C][/ROW]
[ROW][C]0.82[/C][C]200.540473678358[/C][C]2.45044636756507[/C][/ROW]
[ROW][C]0.83[/C][C]201.331943643753[/C][C]2.55298066066894[/C][/ROW]
[ROW][C]0.84[/C][C]202.182106811024[/C][C]2.70951905653870[/C][/ROW]
[ROW][C]0.85[/C][C]203.095599868394[/C][C]2.86362361422347[/C][/ROW]
[ROW][C]0.86[/C][C]204.058109815811[/C][C]2.93978852204118[/C][/ROW]
[ROW][C]0.87[/C][C]205.036579597514[/C][C]2.87799810883041[/C][/ROW]
[ROW][C]0.88[/C][C]205.989957131336[/C][C]2.66781780588241[/C][/ROW]
[ROW][C]0.89[/C][C]206.887992109313[/C][C]2.36431217666172[/C][/ROW]
[ROW][C]0.9[/C][C]207.730338102821[/C][C]2.07567669913651[/C][/ROW]
[ROW][C]0.91[/C][C]208.557252307384[/C][C]1.9243079277883[/C][/ROW]
[ROW][C]0.92[/C][C]209.447862579706[/C][C]1.99278295030665[/C][/ROW]
[ROW][C]0.93[/C][C]210.508483973018[/C][C]2.28878050898389[/C][/ROW]
[ROW][C]0.94[/C][C]211.856074183897[/C][C]2.75724504487928[/C][/ROW]
[ROW][C]0.95[/C][C]213.600630403137[/C][C]3.29845462716648[/C][/ROW]
[ROW][C]0.96[/C][C]215.828988792065[/C][C]3.78364788024448[/C][/ROW]
[ROW][C]0.97[/C][C]218.573162628330[/C][C]4.08444088649341[/C][/ROW]
[ROW][C]0.98[/C][C]221.678563130562[/C][C]3.92281332245102[/C][/ROW]
[ROW][C]0.99[/C][C]224.517156159531[/C][C]2.64315906642749[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78741&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78741&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
0.0132.29270346300194.53432382474376
0.0236.78597197429464.90794407793295
0.0341.22215330417146.57302257404262
0.0446.10340087653389.2392346649155
0.0551.845077695078312.0212449332118
0.0658.370908624060814.1137828553782
0.0765.280903115398815.0968758753848
0.0872.089115440050414.9586476582218
0.0978.400521019778213.9865407945554
0.184.003453627199312.6419382084002
0.1188.889661077530511.4475887143658
0.1293.218428084980110.8485335171541
0.1397.242217707376811.0447491867411
0.14101.21827633361811.9118652098988
0.15105.33422585691713.1061688490409
0.16109.66797503767014.2415623063578
0.17114.18711333418615.0092367810523
0.18118.77916626151615.2382680579891
0.19123.29699616784514.9097955024878
0.2127.60334678619914.1355634789468
0.21131.60274366041013.1065738006001
0.22135.25521615570412.0319850701357
0.23138.57256188745211.0831113563821
0.24141.60249404716710.3555732610370
0.25144.40799571829.86230277879657
0.26147.0485232280559.54910742816305
0.27149.5672549541849.32858822629856
0.28151.9856908600959.11104433671516
0.29154.3046511349358.8249114416821
0.3156.5095601949788.4281339042336
0.31158.5777155422077.90744221449422
0.32160.4856316219917.2771166825905
0.33162.2151410962316.5725143388956
0.34163.7575150915325.83972920893875
0.35165.1153565972665.12939926807313
0.36166.3024133304124.48826128531948
0.37167.3417364514883.9536494488791
0.38168.2627637838953.54998319698617
0.39169.0979307363483.28659560693147
0.4169.8793368838533.15767132124846
0.41170.635867059033.14365206365636
0.42171.3910251149733.21502901004691
0.43172.1616098910643.33866655738166
0.44172.9572525375903.48252456574495
0.45173.7807427801283.61794119846932
0.46174.6290032364103.72328411022194
0.47175.4945322757313.78376239483038
0.48176.3671272489073.79263193341297
0.49177.2357086595483.74962884389831
0.5178.0900722129963.66257148775692
0.51178.9223878675703.54512184919299
0.52179.7282527567673.41388090450043
0.53180.5071187687713.28844043852715
0.54181.2619888209423.18423341304446
0.55181.9984177223583.11155913031367
0.56182.7230322902813.07144830405904
0.57183.4419346830223.0570375254524
0.58184.1594016840833.05572441928524
0.59184.8772041500813.05352438049967
0.6185.5946678419243.03935782782330
0.61186.3093568205043.00784643945095
0.62187.0180802263742.95915681849706
0.63187.7178711196042.89741059839112
0.64188.4066693097892.8284931742368
0.65189.0836046609712.75846727429736
0.66189.7489405761352.69155595664659
0.67190.4038330346052.63038050712747
0.68191.0500686432712.57657485118494
0.69191.6898900214742.53095255793295
0.7192.3259396117642.49496557178984
0.71192.9612819699902.46995453252271
0.72193.5994072472642.45762358353976
0.73194.2440800619652.4584633912903
0.74194.8989049884592.47220844553387
0.75195.5665790225442.49385050255413
0.76196.2480169772732.51508663935848
0.77196.9418095279852.52486019198217
0.78197.6446379856882.51366072605808
0.79198.3531037868622.48074350151591
0.8199.0668021209062.43982786277199
0.81199.7915037041392.41876479539728
0.82200.5404736783582.45044636756507
0.83201.3319436437532.55298066066894
0.84202.1821068110242.70951905653870
0.85203.0955998683942.86362361422347
0.86204.0581098158112.93978852204118
0.87205.0365795975142.87799810883041
0.88205.9899571313362.66781780588241
0.89206.8879921093132.36431217666172
0.9207.7303381028212.07567669913651
0.91208.5572523073841.9243079277883
0.92209.4478625797061.99278295030665
0.93210.5084839730182.28878050898389
0.94211.8560741838972.75724504487928
0.95213.6006304031373.29845462716648
0.96215.8289887920653.78364788024448
0.97218.5731626283304.08444088649341
0.98221.6785631305623.92281332245102
0.99224.5171561595312.64315906642749


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')