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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 08 Dec 2014 18:00:25 +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/2014/Dec/08/t14180616384puu8vudqkn86ye.htm/, Retrieved Sun, 19 May 2024 11:37:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264133, Retrieved Sun, 19 May 2024 11:37:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-06 15:29:08] [4c4ebb0b36a379d1d949ba77427e658a]
- RM D  [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-08 17:37:26] [4c4ebb0b36a379d1d949ba77427e658a]
-    D    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-08 17:38:14] [4c4ebb0b36a379d1d949ba77427e658a]
-    D      [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-08 17:38:46] [4c4ebb0b36a379d1d949ba77427e658a]
- RMPD          [Harrell-Davis Quantiles] [] [2014-12-08 18:00:25] [d9810f96fa2f1581f787e7f797109997] [Current]
- R  D            [Harrell-Davis Quantiles] [] [2014-12-17 12:47:21] [4c4ebb0b36a379d1d949ba77427e658a]
-    D              [Harrell-Davis Quantiles] [] [2014-12-17 12:49:53] [4c4ebb0b36a379d1d949ba77427e658a]
Feedback Forum

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12.9
7.4
12.2
12.8
7.4
6.7
12.6
14.8
13.3
11.1
8.2
11.4
6.4
10.6
12.0
6.3
11.9
9.3
10.0
6.4
13.8
10.8
13.8
11.7
10.9
9.9
11.5
8.3
11.7
6.1
9.0
9.7
10.8
10.3
10.4
9.3
11.8
5.9
11.4
13.0
10.8
11.3
11.8
12.7
10.9
13.3
10.1
14.3
9.3
12.5
7.6
15.9
9.2
11.1
13.0
14.5
12.3
11.4
7.3
12.6
13.0
13.2
7.7
4.35
12.7
18.1
17.85
17.1
19.1
16.1
13.35
18.4
14.7
10.6
12.6
16.2
13.6
14.1
14.5
16.15
14.75
14.8
12.45
12.65
17.35
8.6
18.4
16.1
17.75
15.25
17.65
15.6
16.35
17.65
13.6
11.7
14.35
14.75
18.25
9.9
16
18.25
16.85
18.95
15.6
17.1
16.1
15.4
15.4
13.35
19.1
7.6
19.1
14.75
19.25
13.6
12.75
9.85
15.25
11.9
16.35
12.4
14.35
18.15
17.75
12.35
15.6
19.3
17.1
18.4
19.05
18.55
19.1
12.85
9.5
4.5
13.6
11.7
13.35
17.75
17.6
14.05
16.1
13.35
11.85
11.95
13.2
7.7
14.6

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264133&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264133&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264133&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 time2 seconds
R Server'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.014.832476315304190.726746883197139
0.025.594527816168570.669321905132738
0.036.142896883444910.443573720584985
0.046.49844481834470.437872807982766
0.056.79854208152160.489040980732517
0.067.084645005298580.493502369723209
0.077.350135697273390.47414778813582
0.087.596185575128770.487119662788722
0.097.838820649924370.54550506251526
0.18.092806172713250.616896802691605
0.118.359961311856320.663878237369806
0.128.630121900314760.668771977879134
0.138.889340941667650.6369700509136
0.149.127574007431250.587429319142647
0.159.341795097732580.539672591127669
0.169.534778305557050.505049496169296
0.179.71195785290260.485284354004074
0.189.878616921625940.47631957048971
0.1910.03838692623480.472330889759366
0.210.19296644875290.468189103968238
0.2110.34257181901410.460832169076783
0.2210.48667151370840.44949743359427
0.2310.62468203288290.435585198029224
0.2410.75640159550520.421335480979601
0.2510.88208256933170.4083017698433
0.2611.00220939748410.396649006947612
0.2711.11717927673460.385155476662695
0.2811.22709812932490.372399411200649
0.2911.33180495420540.357617696431063
0.311.43109729879520.341342854373079
0.3111.52503106108690.325296141618407
0.3211.61414653974970.311917683771995
0.3311.69951781691550.303394282126464
0.3411.78259919737970.300972754631618
0.3511.86491761731390.304249365974193
0.3611.94771207672210.311305674456967
0.3712.0316383635420.319150866638492
0.3812.11663586844760.324770145602991
0.3912.20199952979840.325916156352313
0.412.28663165995150.321743148653887
0.4112.36939010244580.312912728107819
0.4212.44942213350630.301313557665608
0.4312.52638615554410.289472862474427
0.4412.60050779919450.279748816522461
0.4512.67247446036110.273670545322772
0.4612.74322149131140.27178474453696
0.4712.81368965612250.273432885326302
0.4812.88463260899820.277343353119567
0.4912.95652945474960.282269612414563
0.513.02962032849530.287273714972697
0.5113.10404326177590.292320664349027
0.5213.18001853802080.298158837918205
0.5313.25801044122840.306228967351468
0.5413.33880060788950.318036860973796
0.5513.42343209657220.334494952897561
0.5613.51302306537960.355457143787677
0.5713.60849291469670.379450396464603
0.5813.71027884249650.403839115234769
0.5913.81813510845960.425522267204871
0.613.93109382823770.441556681084652
0.6114.04762524757130.450139119458094
0.6214.16597628607890.451141758701985
0.6314.28460531085410.446247976718098
0.6414.40258875858560.43870181802632
0.6514.51986883861180.432400355282413
0.6614.63724905200730.43074190858254
0.6714.75611889408570.435462823587668
0.6814.8779785589860.44590407086507
0.6915.00390682410950.459223427889257
0.715.13414211139750.471364823937227
0.7115.2679179337280.478368349795965
0.7215.40362386429740.47766401022062
0.7315.53927951983330.468769765466858
0.7415.67323106307960.453953844539914
0.7515.80490695020120.438000268834309
0.7615.93539891981680.427551268861311
0.7716.067593151440.429200643682082
0.7816.20563163467930.446537314862153
0.7916.35369105735420.477307202742954
0.816.51439038670080.513072162358476
0.8116.68742174076290.542017148604215
0.8216.86904623350580.553211889161205
0.8317.05282108422310.540489310716835
0.8417.23142763139970.504736006343041
0.8517.39896787010010.453722739878504
0.8617.55279244731650.399494783796051
0.8717.69397744061660.353603607470086
0.8817.82612939817940.321793928266441
0.8917.95324616514370.301328113545179
0.918.0783473437330.28557139545445
0.9118.2043858934450.273327723827038
0.9218.33668000158880.272825064954673
0.9318.48279269630220.290449052637207
0.9418.64561226660850.309130080492023
0.9518.81292683797840.290586510701227
0.9618.95782175882930.21539513557211
0.9719.0614468471790.119371871917355
0.9819.1411859764560.0773145698880612
0.9919.23151391407760.0843425418997966

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.83247631530419 & 0.726746883197139 \tabularnewline
0.02 & 5.59452781616857 & 0.669321905132738 \tabularnewline
0.03 & 6.14289688344491 & 0.443573720584985 \tabularnewline
0.04 & 6.4984448183447 & 0.437872807982766 \tabularnewline
0.05 & 6.7985420815216 & 0.489040980732517 \tabularnewline
0.06 & 7.08464500529858 & 0.493502369723209 \tabularnewline
0.07 & 7.35013569727339 & 0.47414778813582 \tabularnewline
0.08 & 7.59618557512877 & 0.487119662788722 \tabularnewline
0.09 & 7.83882064992437 & 0.54550506251526 \tabularnewline
0.1 & 8.09280617271325 & 0.616896802691605 \tabularnewline
0.11 & 8.35996131185632 & 0.663878237369806 \tabularnewline
0.12 & 8.63012190031476 & 0.668771977879134 \tabularnewline
0.13 & 8.88934094166765 & 0.6369700509136 \tabularnewline
0.14 & 9.12757400743125 & 0.587429319142647 \tabularnewline
0.15 & 9.34179509773258 & 0.539672591127669 \tabularnewline
0.16 & 9.53477830555705 & 0.505049496169296 \tabularnewline
0.17 & 9.7119578529026 & 0.485284354004074 \tabularnewline
0.18 & 9.87861692162594 & 0.47631957048971 \tabularnewline
0.19 & 10.0383869262348 & 0.472330889759366 \tabularnewline
0.2 & 10.1929664487529 & 0.468189103968238 \tabularnewline
0.21 & 10.3425718190141 & 0.460832169076783 \tabularnewline
0.22 & 10.4866715137084 & 0.44949743359427 \tabularnewline
0.23 & 10.6246820328829 & 0.435585198029224 \tabularnewline
0.24 & 10.7564015955052 & 0.421335480979601 \tabularnewline
0.25 & 10.8820825693317 & 0.4083017698433 \tabularnewline
0.26 & 11.0022093974841 & 0.396649006947612 \tabularnewline
0.27 & 11.1171792767346 & 0.385155476662695 \tabularnewline
0.28 & 11.2270981293249 & 0.372399411200649 \tabularnewline
0.29 & 11.3318049542054 & 0.357617696431063 \tabularnewline
0.3 & 11.4310972987952 & 0.341342854373079 \tabularnewline
0.31 & 11.5250310610869 & 0.325296141618407 \tabularnewline
0.32 & 11.6141465397497 & 0.311917683771995 \tabularnewline
0.33 & 11.6995178169155 & 0.303394282126464 \tabularnewline
0.34 & 11.7825991973797 & 0.300972754631618 \tabularnewline
0.35 & 11.8649176173139 & 0.304249365974193 \tabularnewline
0.36 & 11.9477120767221 & 0.311305674456967 \tabularnewline
0.37 & 12.031638363542 & 0.319150866638492 \tabularnewline
0.38 & 12.1166358684476 & 0.324770145602991 \tabularnewline
0.39 & 12.2019995297984 & 0.325916156352313 \tabularnewline
0.4 & 12.2866316599515 & 0.321743148653887 \tabularnewline
0.41 & 12.3693901024458 & 0.312912728107819 \tabularnewline
0.42 & 12.4494221335063 & 0.301313557665608 \tabularnewline
0.43 & 12.5263861555441 & 0.289472862474427 \tabularnewline
0.44 & 12.6005077991945 & 0.279748816522461 \tabularnewline
0.45 & 12.6724744603611 & 0.273670545322772 \tabularnewline
0.46 & 12.7432214913114 & 0.27178474453696 \tabularnewline
0.47 & 12.8136896561225 & 0.273432885326302 \tabularnewline
0.48 & 12.8846326089982 & 0.277343353119567 \tabularnewline
0.49 & 12.9565294547496 & 0.282269612414563 \tabularnewline
0.5 & 13.0296203284953 & 0.287273714972697 \tabularnewline
0.51 & 13.1040432617759 & 0.292320664349027 \tabularnewline
0.52 & 13.1800185380208 & 0.298158837918205 \tabularnewline
0.53 & 13.2580104412284 & 0.306228967351468 \tabularnewline
0.54 & 13.3388006078895 & 0.318036860973796 \tabularnewline
0.55 & 13.4234320965722 & 0.334494952897561 \tabularnewline
0.56 & 13.5130230653796 & 0.355457143787677 \tabularnewline
0.57 & 13.6084929146967 & 0.379450396464603 \tabularnewline
0.58 & 13.7102788424965 & 0.403839115234769 \tabularnewline
0.59 & 13.8181351084596 & 0.425522267204871 \tabularnewline
0.6 & 13.9310938282377 & 0.441556681084652 \tabularnewline
0.61 & 14.0476252475713 & 0.450139119458094 \tabularnewline
0.62 & 14.1659762860789 & 0.451141758701985 \tabularnewline
0.63 & 14.2846053108541 & 0.446247976718098 \tabularnewline
0.64 & 14.4025887585856 & 0.43870181802632 \tabularnewline
0.65 & 14.5198688386118 & 0.432400355282413 \tabularnewline
0.66 & 14.6372490520073 & 0.43074190858254 \tabularnewline
0.67 & 14.7561188940857 & 0.435462823587668 \tabularnewline
0.68 & 14.877978558986 & 0.44590407086507 \tabularnewline
0.69 & 15.0039068241095 & 0.459223427889257 \tabularnewline
0.7 & 15.1341421113975 & 0.471364823937227 \tabularnewline
0.71 & 15.267917933728 & 0.478368349795965 \tabularnewline
0.72 & 15.4036238642974 & 0.47766401022062 \tabularnewline
0.73 & 15.5392795198333 & 0.468769765466858 \tabularnewline
0.74 & 15.6732310630796 & 0.453953844539914 \tabularnewline
0.75 & 15.8049069502012 & 0.438000268834309 \tabularnewline
0.76 & 15.9353989198168 & 0.427551268861311 \tabularnewline
0.77 & 16.06759315144 & 0.429200643682082 \tabularnewline
0.78 & 16.2056316346793 & 0.446537314862153 \tabularnewline
0.79 & 16.3536910573542 & 0.477307202742954 \tabularnewline
0.8 & 16.5143903867008 & 0.513072162358476 \tabularnewline
0.81 & 16.6874217407629 & 0.542017148604215 \tabularnewline
0.82 & 16.8690462335058 & 0.553211889161205 \tabularnewline
0.83 & 17.0528210842231 & 0.540489310716835 \tabularnewline
0.84 & 17.2314276313997 & 0.504736006343041 \tabularnewline
0.85 & 17.3989678701001 & 0.453722739878504 \tabularnewline
0.86 & 17.5527924473165 & 0.399494783796051 \tabularnewline
0.87 & 17.6939774406166 & 0.353603607470086 \tabularnewline
0.88 & 17.8261293981794 & 0.321793928266441 \tabularnewline
0.89 & 17.9532461651437 & 0.301328113545179 \tabularnewline
0.9 & 18.078347343733 & 0.28557139545445 \tabularnewline
0.91 & 18.204385893445 & 0.273327723827038 \tabularnewline
0.92 & 18.3366800015888 & 0.272825064954673 \tabularnewline
0.93 & 18.4827926963022 & 0.290449052637207 \tabularnewline
0.94 & 18.6456122666085 & 0.309130080492023 \tabularnewline
0.95 & 18.8129268379784 & 0.290586510701227 \tabularnewline
0.96 & 18.9578217588293 & 0.21539513557211 \tabularnewline
0.97 & 19.061446847179 & 0.119371871917355 \tabularnewline
0.98 & 19.141185976456 & 0.0773145698880612 \tabularnewline
0.99 & 19.2315139140776 & 0.0843425418997966 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264133&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]4.83247631530419[/C][C]0.726746883197139[/C][/ROW]
[ROW][C]0.02[/C][C]5.59452781616857[/C][C]0.669321905132738[/C][/ROW]
[ROW][C]0.03[/C][C]6.14289688344491[/C][C]0.443573720584985[/C][/ROW]
[ROW][C]0.04[/C][C]6.4984448183447[/C][C]0.437872807982766[/C][/ROW]
[ROW][C]0.05[/C][C]6.7985420815216[/C][C]0.489040980732517[/C][/ROW]
[ROW][C]0.06[/C][C]7.08464500529858[/C][C]0.493502369723209[/C][/ROW]
[ROW][C]0.07[/C][C]7.35013569727339[/C][C]0.47414778813582[/C][/ROW]
[ROW][C]0.08[/C][C]7.59618557512877[/C][C]0.487119662788722[/C][/ROW]
[ROW][C]0.09[/C][C]7.83882064992437[/C][C]0.54550506251526[/C][/ROW]
[ROW][C]0.1[/C][C]8.09280617271325[/C][C]0.616896802691605[/C][/ROW]
[ROW][C]0.11[/C][C]8.35996131185632[/C][C]0.663878237369806[/C][/ROW]
[ROW][C]0.12[/C][C]8.63012190031476[/C][C]0.668771977879134[/C][/ROW]
[ROW][C]0.13[/C][C]8.88934094166765[/C][C]0.6369700509136[/C][/ROW]
[ROW][C]0.14[/C][C]9.12757400743125[/C][C]0.587429319142647[/C][/ROW]
[ROW][C]0.15[/C][C]9.34179509773258[/C][C]0.539672591127669[/C][/ROW]
[ROW][C]0.16[/C][C]9.53477830555705[/C][C]0.505049496169296[/C][/ROW]
[ROW][C]0.17[/C][C]9.7119578529026[/C][C]0.485284354004074[/C][/ROW]
[ROW][C]0.18[/C][C]9.87861692162594[/C][C]0.47631957048971[/C][/ROW]
[ROW][C]0.19[/C][C]10.0383869262348[/C][C]0.472330889759366[/C][/ROW]
[ROW][C]0.2[/C][C]10.1929664487529[/C][C]0.468189103968238[/C][/ROW]
[ROW][C]0.21[/C][C]10.3425718190141[/C][C]0.460832169076783[/C][/ROW]
[ROW][C]0.22[/C][C]10.4866715137084[/C][C]0.44949743359427[/C][/ROW]
[ROW][C]0.23[/C][C]10.6246820328829[/C][C]0.435585198029224[/C][/ROW]
[ROW][C]0.24[/C][C]10.7564015955052[/C][C]0.421335480979601[/C][/ROW]
[ROW][C]0.25[/C][C]10.8820825693317[/C][C]0.4083017698433[/C][/ROW]
[ROW][C]0.26[/C][C]11.0022093974841[/C][C]0.396649006947612[/C][/ROW]
[ROW][C]0.27[/C][C]11.1171792767346[/C][C]0.385155476662695[/C][/ROW]
[ROW][C]0.28[/C][C]11.2270981293249[/C][C]0.372399411200649[/C][/ROW]
[ROW][C]0.29[/C][C]11.3318049542054[/C][C]0.357617696431063[/C][/ROW]
[ROW][C]0.3[/C][C]11.4310972987952[/C][C]0.341342854373079[/C][/ROW]
[ROW][C]0.31[/C][C]11.5250310610869[/C][C]0.325296141618407[/C][/ROW]
[ROW][C]0.32[/C][C]11.6141465397497[/C][C]0.311917683771995[/C][/ROW]
[ROW][C]0.33[/C][C]11.6995178169155[/C][C]0.303394282126464[/C][/ROW]
[ROW][C]0.34[/C][C]11.7825991973797[/C][C]0.300972754631618[/C][/ROW]
[ROW][C]0.35[/C][C]11.8649176173139[/C][C]0.304249365974193[/C][/ROW]
[ROW][C]0.36[/C][C]11.9477120767221[/C][C]0.311305674456967[/C][/ROW]
[ROW][C]0.37[/C][C]12.031638363542[/C][C]0.319150866638492[/C][/ROW]
[ROW][C]0.38[/C][C]12.1166358684476[/C][C]0.324770145602991[/C][/ROW]
[ROW][C]0.39[/C][C]12.2019995297984[/C][C]0.325916156352313[/C][/ROW]
[ROW][C]0.4[/C][C]12.2866316599515[/C][C]0.321743148653887[/C][/ROW]
[ROW][C]0.41[/C][C]12.3693901024458[/C][C]0.312912728107819[/C][/ROW]
[ROW][C]0.42[/C][C]12.4494221335063[/C][C]0.301313557665608[/C][/ROW]
[ROW][C]0.43[/C][C]12.5263861555441[/C][C]0.289472862474427[/C][/ROW]
[ROW][C]0.44[/C][C]12.6005077991945[/C][C]0.279748816522461[/C][/ROW]
[ROW][C]0.45[/C][C]12.6724744603611[/C][C]0.273670545322772[/C][/ROW]
[ROW][C]0.46[/C][C]12.7432214913114[/C][C]0.27178474453696[/C][/ROW]
[ROW][C]0.47[/C][C]12.8136896561225[/C][C]0.273432885326302[/C][/ROW]
[ROW][C]0.48[/C][C]12.8846326089982[/C][C]0.277343353119567[/C][/ROW]
[ROW][C]0.49[/C][C]12.9565294547496[/C][C]0.282269612414563[/C][/ROW]
[ROW][C]0.5[/C][C]13.0296203284953[/C][C]0.287273714972697[/C][/ROW]
[ROW][C]0.51[/C][C]13.1040432617759[/C][C]0.292320664349027[/C][/ROW]
[ROW][C]0.52[/C][C]13.1800185380208[/C][C]0.298158837918205[/C][/ROW]
[ROW][C]0.53[/C][C]13.2580104412284[/C][C]0.306228967351468[/C][/ROW]
[ROW][C]0.54[/C][C]13.3388006078895[/C][C]0.318036860973796[/C][/ROW]
[ROW][C]0.55[/C][C]13.4234320965722[/C][C]0.334494952897561[/C][/ROW]
[ROW][C]0.56[/C][C]13.5130230653796[/C][C]0.355457143787677[/C][/ROW]
[ROW][C]0.57[/C][C]13.6084929146967[/C][C]0.379450396464603[/C][/ROW]
[ROW][C]0.58[/C][C]13.7102788424965[/C][C]0.403839115234769[/C][/ROW]
[ROW][C]0.59[/C][C]13.8181351084596[/C][C]0.425522267204871[/C][/ROW]
[ROW][C]0.6[/C][C]13.9310938282377[/C][C]0.441556681084652[/C][/ROW]
[ROW][C]0.61[/C][C]14.0476252475713[/C][C]0.450139119458094[/C][/ROW]
[ROW][C]0.62[/C][C]14.1659762860789[/C][C]0.451141758701985[/C][/ROW]
[ROW][C]0.63[/C][C]14.2846053108541[/C][C]0.446247976718098[/C][/ROW]
[ROW][C]0.64[/C][C]14.4025887585856[/C][C]0.43870181802632[/C][/ROW]
[ROW][C]0.65[/C][C]14.5198688386118[/C][C]0.432400355282413[/C][/ROW]
[ROW][C]0.66[/C][C]14.6372490520073[/C][C]0.43074190858254[/C][/ROW]
[ROW][C]0.67[/C][C]14.7561188940857[/C][C]0.435462823587668[/C][/ROW]
[ROW][C]0.68[/C][C]14.877978558986[/C][C]0.44590407086507[/C][/ROW]
[ROW][C]0.69[/C][C]15.0039068241095[/C][C]0.459223427889257[/C][/ROW]
[ROW][C]0.7[/C][C]15.1341421113975[/C][C]0.471364823937227[/C][/ROW]
[ROW][C]0.71[/C][C]15.267917933728[/C][C]0.478368349795965[/C][/ROW]
[ROW][C]0.72[/C][C]15.4036238642974[/C][C]0.47766401022062[/C][/ROW]
[ROW][C]0.73[/C][C]15.5392795198333[/C][C]0.468769765466858[/C][/ROW]
[ROW][C]0.74[/C][C]15.6732310630796[/C][C]0.453953844539914[/C][/ROW]
[ROW][C]0.75[/C][C]15.8049069502012[/C][C]0.438000268834309[/C][/ROW]
[ROW][C]0.76[/C][C]15.9353989198168[/C][C]0.427551268861311[/C][/ROW]
[ROW][C]0.77[/C][C]16.06759315144[/C][C]0.429200643682082[/C][/ROW]
[ROW][C]0.78[/C][C]16.2056316346793[/C][C]0.446537314862153[/C][/ROW]
[ROW][C]0.79[/C][C]16.3536910573542[/C][C]0.477307202742954[/C][/ROW]
[ROW][C]0.8[/C][C]16.5143903867008[/C][C]0.513072162358476[/C][/ROW]
[ROW][C]0.81[/C][C]16.6874217407629[/C][C]0.542017148604215[/C][/ROW]
[ROW][C]0.82[/C][C]16.8690462335058[/C][C]0.553211889161205[/C][/ROW]
[ROW][C]0.83[/C][C]17.0528210842231[/C][C]0.540489310716835[/C][/ROW]
[ROW][C]0.84[/C][C]17.2314276313997[/C][C]0.504736006343041[/C][/ROW]
[ROW][C]0.85[/C][C]17.3989678701001[/C][C]0.453722739878504[/C][/ROW]
[ROW][C]0.86[/C][C]17.5527924473165[/C][C]0.399494783796051[/C][/ROW]
[ROW][C]0.87[/C][C]17.6939774406166[/C][C]0.353603607470086[/C][/ROW]
[ROW][C]0.88[/C][C]17.8261293981794[/C][C]0.321793928266441[/C][/ROW]
[ROW][C]0.89[/C][C]17.9532461651437[/C][C]0.301328113545179[/C][/ROW]
[ROW][C]0.9[/C][C]18.078347343733[/C][C]0.28557139545445[/C][/ROW]
[ROW][C]0.91[/C][C]18.204385893445[/C][C]0.273327723827038[/C][/ROW]
[ROW][C]0.92[/C][C]18.3366800015888[/C][C]0.272825064954673[/C][/ROW]
[ROW][C]0.93[/C][C]18.4827926963022[/C][C]0.290449052637207[/C][/ROW]
[ROW][C]0.94[/C][C]18.6456122666085[/C][C]0.309130080492023[/C][/ROW]
[ROW][C]0.95[/C][C]18.8129268379784[/C][C]0.290586510701227[/C][/ROW]
[ROW][C]0.96[/C][C]18.9578217588293[/C][C]0.21539513557211[/C][/ROW]
[ROW][C]0.97[/C][C]19.061446847179[/C][C]0.119371871917355[/C][/ROW]
[ROW][C]0.98[/C][C]19.141185976456[/C][C]0.0773145698880612[/C][/ROW]
[ROW][C]0.99[/C][C]19.2315139140776[/C][C]0.0843425418997966[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264133&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264133&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
0.014.832476315304190.726746883197139
0.025.594527816168570.669321905132738
0.036.142896883444910.443573720584985
0.046.49844481834470.437872807982766
0.056.79854208152160.489040980732517
0.067.084645005298580.493502369723209
0.077.350135697273390.47414778813582
0.087.596185575128770.487119662788722
0.097.838820649924370.54550506251526
0.18.092806172713250.616896802691605
0.118.359961311856320.663878237369806
0.128.630121900314760.668771977879134
0.138.889340941667650.6369700509136
0.149.127574007431250.587429319142647
0.159.341795097732580.539672591127669
0.169.534778305557050.505049496169296
0.179.71195785290260.485284354004074
0.189.878616921625940.47631957048971
0.1910.03838692623480.472330889759366
0.210.19296644875290.468189103968238
0.2110.34257181901410.460832169076783
0.2210.48667151370840.44949743359427
0.2310.62468203288290.435585198029224
0.2410.75640159550520.421335480979601
0.2510.88208256933170.4083017698433
0.2611.00220939748410.396649006947612
0.2711.11717927673460.385155476662695
0.2811.22709812932490.372399411200649
0.2911.33180495420540.357617696431063
0.311.43109729879520.341342854373079
0.3111.52503106108690.325296141618407
0.3211.61414653974970.311917683771995
0.3311.69951781691550.303394282126464
0.3411.78259919737970.300972754631618
0.3511.86491761731390.304249365974193
0.3611.94771207672210.311305674456967
0.3712.0316383635420.319150866638492
0.3812.11663586844760.324770145602991
0.3912.20199952979840.325916156352313
0.412.28663165995150.321743148653887
0.4112.36939010244580.312912728107819
0.4212.44942213350630.301313557665608
0.4312.52638615554410.289472862474427
0.4412.60050779919450.279748816522461
0.4512.67247446036110.273670545322772
0.4612.74322149131140.27178474453696
0.4712.81368965612250.273432885326302
0.4812.88463260899820.277343353119567
0.4912.95652945474960.282269612414563
0.513.02962032849530.287273714972697
0.5113.10404326177590.292320664349027
0.5213.18001853802080.298158837918205
0.5313.25801044122840.306228967351468
0.5413.33880060788950.318036860973796
0.5513.42343209657220.334494952897561
0.5613.51302306537960.355457143787677
0.5713.60849291469670.379450396464603
0.5813.71027884249650.403839115234769
0.5913.81813510845960.425522267204871
0.613.93109382823770.441556681084652
0.6114.04762524757130.450139119458094
0.6214.16597628607890.451141758701985
0.6314.28460531085410.446247976718098
0.6414.40258875858560.43870181802632
0.6514.51986883861180.432400355282413
0.6614.63724905200730.43074190858254
0.6714.75611889408570.435462823587668
0.6814.8779785589860.44590407086507
0.6915.00390682410950.459223427889257
0.715.13414211139750.471364823937227
0.7115.2679179337280.478368349795965
0.7215.40362386429740.47766401022062
0.7315.53927951983330.468769765466858
0.7415.67323106307960.453953844539914
0.7515.80490695020120.438000268834309
0.7615.93539891981680.427551268861311
0.7716.067593151440.429200643682082
0.7816.20563163467930.446537314862153
0.7916.35369105735420.477307202742954
0.816.51439038670080.513072162358476
0.8116.68742174076290.542017148604215
0.8216.86904623350580.553211889161205
0.8317.05282108422310.540489310716835
0.8417.23142763139970.504736006343041
0.8517.39896787010010.453722739878504
0.8617.55279244731650.399494783796051
0.8717.69397744061660.353603607470086
0.8817.82612939817940.321793928266441
0.8917.95324616514370.301328113545179
0.918.0783473437330.28557139545445
0.9118.2043858934450.273327723827038
0.9218.33668000158880.272825064954673
0.9318.48279269630220.290449052637207
0.9418.64561226660850.309130080492023
0.9518.81292683797840.290586510701227
0.9618.95782175882930.21539513557211
0.9719.0614468471790.119371871917355
0.9819.1411859764560.0773145698880612
0.9919.23151391407760.0843425418997966


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')