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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 computationSat, 06 Dec 2008 07:34:30 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/06/t12285741025agoy6iu2g3eox9.htm/, Retrieved Sun, 26 May 2024 01:19:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29653, Retrieved Sun, 26 May 2024 01:19:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact176

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2008-12-06 14:20:54] [4c8dfb519edec2da3492d7e6be9a5685]
- RMP   [Central Tendency] [] [2008-12-06 14:27:03] [4c8dfb519edec2da3492d7e6be9a5685]
- RM      [Variability] [] [2008-12-06 14:31:58] [4c8dfb519edec2da3492d7e6be9a5685]
- RMP         [Harrell-Davis Quantiles] [] [2008-12-06 14:34:30] [6d40a467de0f28bd2350f82ac9522c51] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
15107
15024
12083
15761
16943
15070
13660
14769
14725
15998
15371
14957
15470
15102
11704
16284
16727
14969
14861
14583
15306
17904
16379
15420
17871
15913
13867
17823
17872
17422
16705
15991
16584
19124
17839
17209
18587
16258
15142
19202
17747
19090
18040
17516
17752
21073
17170
19440
19795
17575
16165
19465
19932
19961
17343
18924
18574
21351
18595
19823
20844
19640
17735
19814
22239
20682
17819
21872
22117
21866

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'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29653&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29653&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29653&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0111924.7086738346622.066309206334
0.0212327.423596912898.92653601745
0.0312815.2428068488991.470644692134
0.0413293.4433728175917.163361391988
0.0513706.3135545125774.311244621979
0.0614036.4533460263629.234523139322
0.0714289.3877485544503.154871957796
0.0814479.2999490349398.010231680538
0.0914621.0920093298313.360830064853
0.114727.5218406746249.025833568885
0.1114808.7424033495203.452526727667
0.1214872.5579562531173.516337786428
0.1314924.8067090728155.555565626764
0.1414969.7659950907146.686312691831
0.1515010.5560194792145.137686028507
0.1615049.4959787986149.908484971448
0.1715088.3700159166160.334200252325
0.1815128.5911016346175.681009601619
0.1915171.2799760475195.061600949554
0.215217.2895074138217.451506312298
0.2115267.2039026424241.641760635593
0.2215321.3344381311266.458726232370
0.2315379.7247239615290.672983253933
0.2415442.1717129699313.186721732369
0.2515508.2640565208333.074298974203
0.2615577.4362611987349.668591039102
0.2715649.0346247648362.656658097515
0.2815722.3887859854372.114759038397
0.2915796.8811027963378.501432105019
0.315872.0054734013382.624178799928
0.3115947.4080757872385.405031019119
0.3216022.9048984684387.895791441443
0.3316098.4744647261390.967015641199
0.3416174.2280417840395.275938672536
0.3516250.3629992194401.099195638558
0.3616327.1071423077408.328159608512
0.3716404.6624685608416.602482231654
0.3816483.1559549933425.195497258071
0.3916562.6030614976433.331622493018
0.416642.8871575008440.172789437984
0.4116723.7555576674444.87377540272
0.4216804.8306858062446.799789517989
0.4316885.6333204337445.455512613781
0.4416965.6140153814440.548761767933
0.4517044.1886283317432.051996536681
0.4617120.7743402093420.07875430826
0.4717194.8234545711404.949727468088
0.4817265.8534208877387.117350922032
0.4917333.4726856599367.143237129033
0.517397.4028927541345.749524603221
0.5117457.4984201358323.617098228521
0.5217513.7641311061301.614902565688
0.5317566.3715336603280.658390367853
0.5417615.6724187269261.784176981779
0.5517662.2077484976246.045369697872
0.5617706.7084360801234.69750803576
0.5717750.0840666234228.927724218805
0.5817793.3958751144229.769150616356
0.5917837.8116030665237.824260195274
0.617884.5421885400253.161870149317
0.6117934.7633361409275.092125829643
0.6217989.5283526255302.421762008461
0.6318049.6815232853333.435145362787
0.6418115.7829992539366.099442567722
0.6518188.0560565258398.335596724269
0.6618266.3653887056428.098280085514
0.6718350.2309807949453.515158228819
0.6818438.8767369722473.260850781454
0.6918531.3074319896486.478182259407
0.718626.4029093606492.902870703192
0.7118723.0158329528492.813187599925
0.7218820.0594305209486.946497272898
0.7318916.5747529766476.32463500709
0.7419011.7726380255462.068273500577
0.7519105.0528611062445.269943889383
0.7619196.0103881248426.918389899278
0.7719284.4442486403407.835901439391
0.7819370.3860694123388.820750847073
0.7919454.1606329174370.931559780443
0.819536.4787952155355.570519759756
0.8119618.5446807972344.875908083586
0.8219702.138544939341.561164522895
0.8319789.6220428218348.565175303609
0.8419883.8140790249367.861425963001
0.8519987.7111099155399.363775125814
0.8620104.0752648698440.192386062344
0.8720234.9717303618485.089838576791
0.8820381.3736652035527.609597710102
0.8920542.9365553454561.667283247483
0.920717.9661073042582.813219635234
0.9120903.5060513278588.632969352199
0.9221095.4428065506577.916177410508
0.9321288.6346323978549.309784955254
0.9421477.2670157221501.240627642563
0.9521655.6666349928434.566623842696
0.9621819.3769541697356.014620595596
0.9721965.4460433496277.055872358260
0.9822090.4011818943206.376109746407
0.9922186.0622089473149.588897437655

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 11924.7086738346 & 622.066309206334 \tabularnewline
0.02 & 12327.423596912 & 898.92653601745 \tabularnewline
0.03 & 12815.2428068488 & 991.470644692134 \tabularnewline
0.04 & 13293.4433728175 & 917.163361391988 \tabularnewline
0.05 & 13706.3135545125 & 774.311244621979 \tabularnewline
0.06 & 14036.4533460263 & 629.234523139322 \tabularnewline
0.07 & 14289.3877485544 & 503.154871957796 \tabularnewline
0.08 & 14479.2999490349 & 398.010231680538 \tabularnewline
0.09 & 14621.0920093298 & 313.360830064853 \tabularnewline
0.1 & 14727.5218406746 & 249.025833568885 \tabularnewline
0.11 & 14808.7424033495 & 203.452526727667 \tabularnewline
0.12 & 14872.5579562531 & 173.516337786428 \tabularnewline
0.13 & 14924.8067090728 & 155.555565626764 \tabularnewline
0.14 & 14969.7659950907 & 146.686312691831 \tabularnewline
0.15 & 15010.5560194792 & 145.137686028507 \tabularnewline
0.16 & 15049.4959787986 & 149.908484971448 \tabularnewline
0.17 & 15088.3700159166 & 160.334200252325 \tabularnewline
0.18 & 15128.5911016346 & 175.681009601619 \tabularnewline
0.19 & 15171.2799760475 & 195.061600949554 \tabularnewline
0.2 & 15217.2895074138 & 217.451506312298 \tabularnewline
0.21 & 15267.2039026424 & 241.641760635593 \tabularnewline
0.22 & 15321.3344381311 & 266.458726232370 \tabularnewline
0.23 & 15379.7247239615 & 290.672983253933 \tabularnewline
0.24 & 15442.1717129699 & 313.186721732369 \tabularnewline
0.25 & 15508.2640565208 & 333.074298974203 \tabularnewline
0.26 & 15577.4362611987 & 349.668591039102 \tabularnewline
0.27 & 15649.0346247648 & 362.656658097515 \tabularnewline
0.28 & 15722.3887859854 & 372.114759038397 \tabularnewline
0.29 & 15796.8811027963 & 378.501432105019 \tabularnewline
0.3 & 15872.0054734013 & 382.624178799928 \tabularnewline
0.31 & 15947.4080757872 & 385.405031019119 \tabularnewline
0.32 & 16022.9048984684 & 387.895791441443 \tabularnewline
0.33 & 16098.4744647261 & 390.967015641199 \tabularnewline
0.34 & 16174.2280417840 & 395.275938672536 \tabularnewline
0.35 & 16250.3629992194 & 401.099195638558 \tabularnewline
0.36 & 16327.1071423077 & 408.328159608512 \tabularnewline
0.37 & 16404.6624685608 & 416.602482231654 \tabularnewline
0.38 & 16483.1559549933 & 425.195497258071 \tabularnewline
0.39 & 16562.6030614976 & 433.331622493018 \tabularnewline
0.4 & 16642.8871575008 & 440.172789437984 \tabularnewline
0.41 & 16723.7555576674 & 444.87377540272 \tabularnewline
0.42 & 16804.8306858062 & 446.799789517989 \tabularnewline
0.43 & 16885.6333204337 & 445.455512613781 \tabularnewline
0.44 & 16965.6140153814 & 440.548761767933 \tabularnewline
0.45 & 17044.1886283317 & 432.051996536681 \tabularnewline
0.46 & 17120.7743402093 & 420.07875430826 \tabularnewline
0.47 & 17194.8234545711 & 404.949727468088 \tabularnewline
0.48 & 17265.8534208877 & 387.117350922032 \tabularnewline
0.49 & 17333.4726856599 & 367.143237129033 \tabularnewline
0.5 & 17397.4028927541 & 345.749524603221 \tabularnewline
0.51 & 17457.4984201358 & 323.617098228521 \tabularnewline
0.52 & 17513.7641311061 & 301.614902565688 \tabularnewline
0.53 & 17566.3715336603 & 280.658390367853 \tabularnewline
0.54 & 17615.6724187269 & 261.784176981779 \tabularnewline
0.55 & 17662.2077484976 & 246.045369697872 \tabularnewline
0.56 & 17706.7084360801 & 234.69750803576 \tabularnewline
0.57 & 17750.0840666234 & 228.927724218805 \tabularnewline
0.58 & 17793.3958751144 & 229.769150616356 \tabularnewline
0.59 & 17837.8116030665 & 237.824260195274 \tabularnewline
0.6 & 17884.5421885400 & 253.161870149317 \tabularnewline
0.61 & 17934.7633361409 & 275.092125829643 \tabularnewline
0.62 & 17989.5283526255 & 302.421762008461 \tabularnewline
0.63 & 18049.6815232853 & 333.435145362787 \tabularnewline
0.64 & 18115.7829992539 & 366.099442567722 \tabularnewline
0.65 & 18188.0560565258 & 398.335596724269 \tabularnewline
0.66 & 18266.3653887056 & 428.098280085514 \tabularnewline
0.67 & 18350.2309807949 & 453.515158228819 \tabularnewline
0.68 & 18438.8767369722 & 473.260850781454 \tabularnewline
0.69 & 18531.3074319896 & 486.478182259407 \tabularnewline
0.7 & 18626.4029093606 & 492.902870703192 \tabularnewline
0.71 & 18723.0158329528 & 492.813187599925 \tabularnewline
0.72 & 18820.0594305209 & 486.946497272898 \tabularnewline
0.73 & 18916.5747529766 & 476.32463500709 \tabularnewline
0.74 & 19011.7726380255 & 462.068273500577 \tabularnewline
0.75 & 19105.0528611062 & 445.269943889383 \tabularnewline
0.76 & 19196.0103881248 & 426.918389899278 \tabularnewline
0.77 & 19284.4442486403 & 407.835901439391 \tabularnewline
0.78 & 19370.3860694123 & 388.820750847073 \tabularnewline
0.79 & 19454.1606329174 & 370.931559780443 \tabularnewline
0.8 & 19536.4787952155 & 355.570519759756 \tabularnewline
0.81 & 19618.5446807972 & 344.875908083586 \tabularnewline
0.82 & 19702.138544939 & 341.561164522895 \tabularnewline
0.83 & 19789.6220428218 & 348.565175303609 \tabularnewline
0.84 & 19883.8140790249 & 367.861425963001 \tabularnewline
0.85 & 19987.7111099155 & 399.363775125814 \tabularnewline
0.86 & 20104.0752648698 & 440.192386062344 \tabularnewline
0.87 & 20234.9717303618 & 485.089838576791 \tabularnewline
0.88 & 20381.3736652035 & 527.609597710102 \tabularnewline
0.89 & 20542.9365553454 & 561.667283247483 \tabularnewline
0.9 & 20717.9661073042 & 582.813219635234 \tabularnewline
0.91 & 20903.5060513278 & 588.632969352199 \tabularnewline
0.92 & 21095.4428065506 & 577.916177410508 \tabularnewline
0.93 & 21288.6346323978 & 549.309784955254 \tabularnewline
0.94 & 21477.2670157221 & 501.240627642563 \tabularnewline
0.95 & 21655.6666349928 & 434.566623842696 \tabularnewline
0.96 & 21819.3769541697 & 356.014620595596 \tabularnewline
0.97 & 21965.4460433496 & 277.055872358260 \tabularnewline
0.98 & 22090.4011818943 & 206.376109746407 \tabularnewline
0.99 & 22186.0622089473 & 149.588897437655 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29653&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]11924.7086738346[/C][C]622.066309206334[/C][/ROW]
[ROW][C]0.02[/C][C]12327.423596912[/C][C]898.92653601745[/C][/ROW]
[ROW][C]0.03[/C][C]12815.2428068488[/C][C]991.470644692134[/C][/ROW]
[ROW][C]0.04[/C][C]13293.4433728175[/C][C]917.163361391988[/C][/ROW]
[ROW][C]0.05[/C][C]13706.3135545125[/C][C]774.311244621979[/C][/ROW]
[ROW][C]0.06[/C][C]14036.4533460263[/C][C]629.234523139322[/C][/ROW]
[ROW][C]0.07[/C][C]14289.3877485544[/C][C]503.154871957796[/C][/ROW]
[ROW][C]0.08[/C][C]14479.2999490349[/C][C]398.010231680538[/C][/ROW]
[ROW][C]0.09[/C][C]14621.0920093298[/C][C]313.360830064853[/C][/ROW]
[ROW][C]0.1[/C][C]14727.5218406746[/C][C]249.025833568885[/C][/ROW]
[ROW][C]0.11[/C][C]14808.7424033495[/C][C]203.452526727667[/C][/ROW]
[ROW][C]0.12[/C][C]14872.5579562531[/C][C]173.516337786428[/C][/ROW]
[ROW][C]0.13[/C][C]14924.8067090728[/C][C]155.555565626764[/C][/ROW]
[ROW][C]0.14[/C][C]14969.7659950907[/C][C]146.686312691831[/C][/ROW]
[ROW][C]0.15[/C][C]15010.5560194792[/C][C]145.137686028507[/C][/ROW]
[ROW][C]0.16[/C][C]15049.4959787986[/C][C]149.908484971448[/C][/ROW]
[ROW][C]0.17[/C][C]15088.3700159166[/C][C]160.334200252325[/C][/ROW]
[ROW][C]0.18[/C][C]15128.5911016346[/C][C]175.681009601619[/C][/ROW]
[ROW][C]0.19[/C][C]15171.2799760475[/C][C]195.061600949554[/C][/ROW]
[ROW][C]0.2[/C][C]15217.2895074138[/C][C]217.451506312298[/C][/ROW]
[ROW][C]0.21[/C][C]15267.2039026424[/C][C]241.641760635593[/C][/ROW]
[ROW][C]0.22[/C][C]15321.3344381311[/C][C]266.458726232370[/C][/ROW]
[ROW][C]0.23[/C][C]15379.7247239615[/C][C]290.672983253933[/C][/ROW]
[ROW][C]0.24[/C][C]15442.1717129699[/C][C]313.186721732369[/C][/ROW]
[ROW][C]0.25[/C][C]15508.2640565208[/C][C]333.074298974203[/C][/ROW]
[ROW][C]0.26[/C][C]15577.4362611987[/C][C]349.668591039102[/C][/ROW]
[ROW][C]0.27[/C][C]15649.0346247648[/C][C]362.656658097515[/C][/ROW]
[ROW][C]0.28[/C][C]15722.3887859854[/C][C]372.114759038397[/C][/ROW]
[ROW][C]0.29[/C][C]15796.8811027963[/C][C]378.501432105019[/C][/ROW]
[ROW][C]0.3[/C][C]15872.0054734013[/C][C]382.624178799928[/C][/ROW]
[ROW][C]0.31[/C][C]15947.4080757872[/C][C]385.405031019119[/C][/ROW]
[ROW][C]0.32[/C][C]16022.9048984684[/C][C]387.895791441443[/C][/ROW]
[ROW][C]0.33[/C][C]16098.4744647261[/C][C]390.967015641199[/C][/ROW]
[ROW][C]0.34[/C][C]16174.2280417840[/C][C]395.275938672536[/C][/ROW]
[ROW][C]0.35[/C][C]16250.3629992194[/C][C]401.099195638558[/C][/ROW]
[ROW][C]0.36[/C][C]16327.1071423077[/C][C]408.328159608512[/C][/ROW]
[ROW][C]0.37[/C][C]16404.6624685608[/C][C]416.602482231654[/C][/ROW]
[ROW][C]0.38[/C][C]16483.1559549933[/C][C]425.195497258071[/C][/ROW]
[ROW][C]0.39[/C][C]16562.6030614976[/C][C]433.331622493018[/C][/ROW]
[ROW][C]0.4[/C][C]16642.8871575008[/C][C]440.172789437984[/C][/ROW]
[ROW][C]0.41[/C][C]16723.7555576674[/C][C]444.87377540272[/C][/ROW]
[ROW][C]0.42[/C][C]16804.8306858062[/C][C]446.799789517989[/C][/ROW]
[ROW][C]0.43[/C][C]16885.6333204337[/C][C]445.455512613781[/C][/ROW]
[ROW][C]0.44[/C][C]16965.6140153814[/C][C]440.548761767933[/C][/ROW]
[ROW][C]0.45[/C][C]17044.1886283317[/C][C]432.051996536681[/C][/ROW]
[ROW][C]0.46[/C][C]17120.7743402093[/C][C]420.07875430826[/C][/ROW]
[ROW][C]0.47[/C][C]17194.8234545711[/C][C]404.949727468088[/C][/ROW]
[ROW][C]0.48[/C][C]17265.8534208877[/C][C]387.117350922032[/C][/ROW]
[ROW][C]0.49[/C][C]17333.4726856599[/C][C]367.143237129033[/C][/ROW]
[ROW][C]0.5[/C][C]17397.4028927541[/C][C]345.749524603221[/C][/ROW]
[ROW][C]0.51[/C][C]17457.4984201358[/C][C]323.617098228521[/C][/ROW]
[ROW][C]0.52[/C][C]17513.7641311061[/C][C]301.614902565688[/C][/ROW]
[ROW][C]0.53[/C][C]17566.3715336603[/C][C]280.658390367853[/C][/ROW]
[ROW][C]0.54[/C][C]17615.6724187269[/C][C]261.784176981779[/C][/ROW]
[ROW][C]0.55[/C][C]17662.2077484976[/C][C]246.045369697872[/C][/ROW]
[ROW][C]0.56[/C][C]17706.7084360801[/C][C]234.69750803576[/C][/ROW]
[ROW][C]0.57[/C][C]17750.0840666234[/C][C]228.927724218805[/C][/ROW]
[ROW][C]0.58[/C][C]17793.3958751144[/C][C]229.769150616356[/C][/ROW]
[ROW][C]0.59[/C][C]17837.8116030665[/C][C]237.824260195274[/C][/ROW]
[ROW][C]0.6[/C][C]17884.5421885400[/C][C]253.161870149317[/C][/ROW]
[ROW][C]0.61[/C][C]17934.7633361409[/C][C]275.092125829643[/C][/ROW]
[ROW][C]0.62[/C][C]17989.5283526255[/C][C]302.421762008461[/C][/ROW]
[ROW][C]0.63[/C][C]18049.6815232853[/C][C]333.435145362787[/C][/ROW]
[ROW][C]0.64[/C][C]18115.7829992539[/C][C]366.099442567722[/C][/ROW]
[ROW][C]0.65[/C][C]18188.0560565258[/C][C]398.335596724269[/C][/ROW]
[ROW][C]0.66[/C][C]18266.3653887056[/C][C]428.098280085514[/C][/ROW]
[ROW][C]0.67[/C][C]18350.2309807949[/C][C]453.515158228819[/C][/ROW]
[ROW][C]0.68[/C][C]18438.8767369722[/C][C]473.260850781454[/C][/ROW]
[ROW][C]0.69[/C][C]18531.3074319896[/C][C]486.478182259407[/C][/ROW]
[ROW][C]0.7[/C][C]18626.4029093606[/C][C]492.902870703192[/C][/ROW]
[ROW][C]0.71[/C][C]18723.0158329528[/C][C]492.813187599925[/C][/ROW]
[ROW][C]0.72[/C][C]18820.0594305209[/C][C]486.946497272898[/C][/ROW]
[ROW][C]0.73[/C][C]18916.5747529766[/C][C]476.32463500709[/C][/ROW]
[ROW][C]0.74[/C][C]19011.7726380255[/C][C]462.068273500577[/C][/ROW]
[ROW][C]0.75[/C][C]19105.0528611062[/C][C]445.269943889383[/C][/ROW]
[ROW][C]0.76[/C][C]19196.0103881248[/C][C]426.918389899278[/C][/ROW]
[ROW][C]0.77[/C][C]19284.4442486403[/C][C]407.835901439391[/C][/ROW]
[ROW][C]0.78[/C][C]19370.3860694123[/C][C]388.820750847073[/C][/ROW]
[ROW][C]0.79[/C][C]19454.1606329174[/C][C]370.931559780443[/C][/ROW]
[ROW][C]0.8[/C][C]19536.4787952155[/C][C]355.570519759756[/C][/ROW]
[ROW][C]0.81[/C][C]19618.5446807972[/C][C]344.875908083586[/C][/ROW]
[ROW][C]0.82[/C][C]19702.138544939[/C][C]341.561164522895[/C][/ROW]
[ROW][C]0.83[/C][C]19789.6220428218[/C][C]348.565175303609[/C][/ROW]
[ROW][C]0.84[/C][C]19883.8140790249[/C][C]367.861425963001[/C][/ROW]
[ROW][C]0.85[/C][C]19987.7111099155[/C][C]399.363775125814[/C][/ROW]
[ROW][C]0.86[/C][C]20104.0752648698[/C][C]440.192386062344[/C][/ROW]
[ROW][C]0.87[/C][C]20234.9717303618[/C][C]485.089838576791[/C][/ROW]
[ROW][C]0.88[/C][C]20381.3736652035[/C][C]527.609597710102[/C][/ROW]
[ROW][C]0.89[/C][C]20542.9365553454[/C][C]561.667283247483[/C][/ROW]
[ROW][C]0.9[/C][C]20717.9661073042[/C][C]582.813219635234[/C][/ROW]
[ROW][C]0.91[/C][C]20903.5060513278[/C][C]588.632969352199[/C][/ROW]
[ROW][C]0.92[/C][C]21095.4428065506[/C][C]577.916177410508[/C][/ROW]
[ROW][C]0.93[/C][C]21288.6346323978[/C][C]549.309784955254[/C][/ROW]
[ROW][C]0.94[/C][C]21477.2670157221[/C][C]501.240627642563[/C][/ROW]
[ROW][C]0.95[/C][C]21655.6666349928[/C][C]434.566623842696[/C][/ROW]
[ROW][C]0.96[/C][C]21819.3769541697[/C][C]356.014620595596[/C][/ROW]
[ROW][C]0.97[/C][C]21965.4460433496[/C][C]277.055872358260[/C][/ROW]
[ROW][C]0.98[/C][C]22090.4011818943[/C][C]206.376109746407[/C][/ROW]
[ROW][C]0.99[/C][C]22186.0622089473[/C][C]149.588897437655[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29653&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29653&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
0.0111924.7086738346622.066309206334
0.0212327.423596912898.92653601745
0.0312815.2428068488991.470644692134
0.0413293.4433728175917.163361391988
0.0513706.3135545125774.311244621979
0.0614036.4533460263629.234523139322
0.0714289.3877485544503.154871957796
0.0814479.2999490349398.010231680538
0.0914621.0920093298313.360830064853
0.114727.5218406746249.025833568885
0.1114808.7424033495203.452526727667
0.1214872.5579562531173.516337786428
0.1314924.8067090728155.555565626764
0.1414969.7659950907146.686312691831
0.1515010.5560194792145.137686028507
0.1615049.4959787986149.908484971448
0.1715088.3700159166160.334200252325
0.1815128.5911016346175.681009601619
0.1915171.2799760475195.061600949554
0.215217.2895074138217.451506312298
0.2115267.2039026424241.641760635593
0.2215321.3344381311266.458726232370
0.2315379.7247239615290.672983253933
0.2415442.1717129699313.186721732369
0.2515508.2640565208333.074298974203
0.2615577.4362611987349.668591039102
0.2715649.0346247648362.656658097515
0.2815722.3887859854372.114759038397
0.2915796.8811027963378.501432105019
0.315872.0054734013382.624178799928
0.3115947.4080757872385.405031019119
0.3216022.9048984684387.895791441443
0.3316098.4744647261390.967015641199
0.3416174.2280417840395.275938672536
0.3516250.3629992194401.099195638558
0.3616327.1071423077408.328159608512
0.3716404.6624685608416.602482231654
0.3816483.1559549933425.195497258071
0.3916562.6030614976433.331622493018
0.416642.8871575008440.172789437984
0.4116723.7555576674444.87377540272
0.4216804.8306858062446.799789517989
0.4316885.6333204337445.455512613781
0.4416965.6140153814440.548761767933
0.4517044.1886283317432.051996536681
0.4617120.7743402093420.07875430826
0.4717194.8234545711404.949727468088
0.4817265.8534208877387.117350922032
0.4917333.4726856599367.143237129033
0.517397.4028927541345.749524603221
0.5117457.4984201358323.617098228521
0.5217513.7641311061301.614902565688
0.5317566.3715336603280.658390367853
0.5417615.6724187269261.784176981779
0.5517662.2077484976246.045369697872
0.5617706.7084360801234.69750803576
0.5717750.0840666234228.927724218805
0.5817793.3958751144229.769150616356
0.5917837.8116030665237.824260195274
0.617884.5421885400253.161870149317
0.6117934.7633361409275.092125829643
0.6217989.5283526255302.421762008461
0.6318049.6815232853333.435145362787
0.6418115.7829992539366.099442567722
0.6518188.0560565258398.335596724269
0.6618266.3653887056428.098280085514
0.6718350.2309807949453.515158228819
0.6818438.8767369722473.260850781454
0.6918531.3074319896486.478182259407
0.718626.4029093606492.902870703192
0.7118723.0158329528492.813187599925
0.7218820.0594305209486.946497272898
0.7318916.5747529766476.32463500709
0.7419011.7726380255462.068273500577
0.7519105.0528611062445.269943889383
0.7619196.0103881248426.918389899278
0.7719284.4442486403407.835901439391
0.7819370.3860694123388.820750847073
0.7919454.1606329174370.931559780443
0.819536.4787952155355.570519759756
0.8119618.5446807972344.875908083586
0.8219702.138544939341.561164522895
0.8319789.6220428218348.565175303609
0.8419883.8140790249367.861425963001
0.8519987.7111099155399.363775125814
0.8620104.0752648698440.192386062344
0.8720234.9717303618485.089838576791
0.8820381.3736652035527.609597710102
0.8920542.9365553454561.667283247483
0.920717.9661073042582.813219635234
0.9120903.5060513278588.632969352199
0.9221095.4428065506577.916177410508
0.9321288.6346323978549.309784955254
0.9421477.2670157221501.240627642563
0.9521655.6666349928434.566623842696
0.9621819.3769541697356.014620595596
0.9721965.4460433496277.055872358260
0.9822090.4011818943206.376109746407
0.9922186.0622089473149.588897437655


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')