Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 09 Mar 2017 16:35:50 +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/2017/Mar/09/t148907740153yzzgzrb9q9z6l.htm/, Retrieved Wed, 15 May 2024 12:37:24 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 15 May 2024 12:37:24 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0
Dataseries X:
8899
8899
9093
9093
9093
9116
9116
9116
10073
10073
10073
9223
9223
9223
9151
9151
9151
6727
6727
6727
7232
7232
7232
6370
6370
6370
6862
6862
6862
7029
7029
7029
7031
7031
7031
7223
7223
7223
8065
8065
8065
7657
7657
7657
7328
7328
7328
7115
7115
7115
7926
7926
7926
8681
8681
8681
8670
8670
8670
8028
8028




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 1 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=0

As an alternative you can also use a 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'Sir Maurice George Kendall' @ kendall.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.016376.7752808600324.3360091634657
0.026395.8828935837269.1997099088045
0.036430.51016037493119.063607700363
0.046479.13261806351156.227263935808
0.056536.45668366226171.759434530808
0.066596.01445541335167.711130960308
0.076652.57772806905152.609137946343
0.086703.29836409094135.503794509593
0.096747.55858786984122.106597891841
0.16786.13088727569113.844534307127
0.116820.27752747412109.338128126194
0.126851.14098756609106.444209880131
0.136879.48736296603103.498293709062
0.146905.7048219136299.5733856794989
0.156929.9255619854594.3992557593105
0.166952.1722819441388.2046695113004
0.176972.4761261144881.5615196050679
0.186990.9474558398575.2268433887424
0.197007.8000655256569.9795528877309
0.27023.3384277606666.4318927349289
0.217037.921124736564.867051859675
0.227051.9142884390165.1796993754794
0.237065.6474332311466.9392645562339
0.247079.3809402809569.5723070120969
0.257093.2903316731772.5286306291452
0.267107.4682708531475.3604125934108
0.277121.9417683933777.8278089112155
0.287136.6998316304779.8686509901148
0.297151.7258472117581.6341262088217
0.37167.0291121962183.4461590832416
0.317182.6707951499985.7954617091354
0.327198.7808886837789.2376616626546
0.337215.5641619139294.3318177970707
0.347233.29457166655101.546494613279
0.357252.29893864256111.141593344556
0.367272.93186061759123.152025870565
0.377295.54475046457137.369411466148
0.387320.45249148454153.358726397087
0.397347.90145100033170.526849808284
0.47378.04246635527188.148712148481
0.417410.91192953294205.44050901303
0.427446.4232958467221.614984725644
0.437484.37030573171235.949060946615
0.447524.44203336889247.856957296273
0.457566.24866700445256.937425916017
0.467609.35578722943263.021788526342
0.477653.32393645933266.196047698244
0.487697.74954935568266.80392443844
0.497742.30291340216265.429166058545
0.57786.75881626448262.843184072631
0.517831.01596748464259.951063573957
0.527875.10219426387257.682067745035
0.537919.16380635914256.887322160498
0.547963.43934314555258.194281013937
0.558008.22000781588261.896955402641
0.568053.80120758225267.863766847189
0.578100.43141065208275.548153461909
0.588148.26561068407284.056414852988
0.598197.3307020777292.283866913113
0.68247.5087959802299.092518537643
0.618298.54196159508303.479240585414
0.628350.05836613754304.710985174546
0.638401.61589794832302.438324324836
0.648452.75587034027296.749271879926
0.658503.05712518788288.124966275174
0.668552.18041631392277.375793004571
0.678599.89462253336265.467801713753
0.688646.07991164964253.36161054803
0.698690.70776764613241.789339919376
0.78733.80277639886231.137037650707
0.718775.39510173828221.353467924378
0.728815.47470472684212.01933496503
0.738853.95801941659202.456274350706
0.748890.67503226274191.973230334255
0.758925.38014420283180.022147246703
0.768957.78489693536166.337859121201
0.778987.60587822601151.00545833611
0.789014.61802012018134.444022513047
0.799038.70280099605117.339607123944
0.89059.8827284011100.518289796473
0.819078.3375448735684.8559666424949
0.829094.4031624264871.117903242478
0.839108.560682049259.9576283579523
0.849121.4294991022251.847805255548
0.859133.7849378763647.1651816475688
0.869146.6255235750146.3398889648676
0.879161.3132015254150.1425756560342
0.889179.7917359523160.2253136286509
0.899204.8401657487779.4054668330147
0.99240.23023209552111.225451708466
0.919290.54505666025158.388866787136
0.929360.34921130412220.192873820707
0.939452.50623886736289.341701837654
0.949565.85170545365349.833851985776
0.959693.13330402631378.955704742591
0.969820.77008705161356.020047698178
0.979931.84780909206276.422805416078
0.9810012.2248872745162.384683270087
0.9910057.018208978257.4570944341009

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6376.77528086003 & 24.3360091634657 \tabularnewline
0.02 & 6395.88289358372 & 69.1997099088045 \tabularnewline
0.03 & 6430.51016037493 & 119.063607700363 \tabularnewline
0.04 & 6479.13261806351 & 156.227263935808 \tabularnewline
0.05 & 6536.45668366226 & 171.759434530808 \tabularnewline
0.06 & 6596.01445541335 & 167.711130960308 \tabularnewline
0.07 & 6652.57772806905 & 152.609137946343 \tabularnewline
0.08 & 6703.29836409094 & 135.503794509593 \tabularnewline
0.09 & 6747.55858786984 & 122.106597891841 \tabularnewline
0.1 & 6786.13088727569 & 113.844534307127 \tabularnewline
0.11 & 6820.27752747412 & 109.338128126194 \tabularnewline
0.12 & 6851.14098756609 & 106.444209880131 \tabularnewline
0.13 & 6879.48736296603 & 103.498293709062 \tabularnewline
0.14 & 6905.70482191362 & 99.5733856794989 \tabularnewline
0.15 & 6929.92556198545 & 94.3992557593105 \tabularnewline
0.16 & 6952.17228194413 & 88.2046695113004 \tabularnewline
0.17 & 6972.47612611448 & 81.5615196050679 \tabularnewline
0.18 & 6990.94745583985 & 75.2268433887424 \tabularnewline
0.19 & 7007.80006552565 & 69.9795528877309 \tabularnewline
0.2 & 7023.33842776066 & 66.4318927349289 \tabularnewline
0.21 & 7037.9211247365 & 64.867051859675 \tabularnewline
0.22 & 7051.91428843901 & 65.1796993754794 \tabularnewline
0.23 & 7065.64743323114 & 66.9392645562339 \tabularnewline
0.24 & 7079.38094028095 & 69.5723070120969 \tabularnewline
0.25 & 7093.29033167317 & 72.5286306291452 \tabularnewline
0.26 & 7107.46827085314 & 75.3604125934108 \tabularnewline
0.27 & 7121.94176839337 & 77.8278089112155 \tabularnewline
0.28 & 7136.69983163047 & 79.8686509901148 \tabularnewline
0.29 & 7151.72584721175 & 81.6341262088217 \tabularnewline
0.3 & 7167.02911219621 & 83.4461590832416 \tabularnewline
0.31 & 7182.67079514999 & 85.7954617091354 \tabularnewline
0.32 & 7198.78088868377 & 89.2376616626546 \tabularnewline
0.33 & 7215.56416191392 & 94.3318177970707 \tabularnewline
0.34 & 7233.29457166655 & 101.546494613279 \tabularnewline
0.35 & 7252.29893864256 & 111.141593344556 \tabularnewline
0.36 & 7272.93186061759 & 123.152025870565 \tabularnewline
0.37 & 7295.54475046457 & 137.369411466148 \tabularnewline
0.38 & 7320.45249148454 & 153.358726397087 \tabularnewline
0.39 & 7347.90145100033 & 170.526849808284 \tabularnewline
0.4 & 7378.04246635527 & 188.148712148481 \tabularnewline
0.41 & 7410.91192953294 & 205.44050901303 \tabularnewline
0.42 & 7446.4232958467 & 221.614984725644 \tabularnewline
0.43 & 7484.37030573171 & 235.949060946615 \tabularnewline
0.44 & 7524.44203336889 & 247.856957296273 \tabularnewline
0.45 & 7566.24866700445 & 256.937425916017 \tabularnewline
0.46 & 7609.35578722943 & 263.021788526342 \tabularnewline
0.47 & 7653.32393645933 & 266.196047698244 \tabularnewline
0.48 & 7697.74954935568 & 266.80392443844 \tabularnewline
0.49 & 7742.30291340216 & 265.429166058545 \tabularnewline
0.5 & 7786.75881626448 & 262.843184072631 \tabularnewline
0.51 & 7831.01596748464 & 259.951063573957 \tabularnewline
0.52 & 7875.10219426387 & 257.682067745035 \tabularnewline
0.53 & 7919.16380635914 & 256.887322160498 \tabularnewline
0.54 & 7963.43934314555 & 258.194281013937 \tabularnewline
0.55 & 8008.22000781588 & 261.896955402641 \tabularnewline
0.56 & 8053.80120758225 & 267.863766847189 \tabularnewline
0.57 & 8100.43141065208 & 275.548153461909 \tabularnewline
0.58 & 8148.26561068407 & 284.056414852988 \tabularnewline
0.59 & 8197.3307020777 & 292.283866913113 \tabularnewline
0.6 & 8247.5087959802 & 299.092518537643 \tabularnewline
0.61 & 8298.54196159508 & 303.479240585414 \tabularnewline
0.62 & 8350.05836613754 & 304.710985174546 \tabularnewline
0.63 & 8401.61589794832 & 302.438324324836 \tabularnewline
0.64 & 8452.75587034027 & 296.749271879926 \tabularnewline
0.65 & 8503.05712518788 & 288.124966275174 \tabularnewline
0.66 & 8552.18041631392 & 277.375793004571 \tabularnewline
0.67 & 8599.89462253336 & 265.467801713753 \tabularnewline
0.68 & 8646.07991164964 & 253.36161054803 \tabularnewline
0.69 & 8690.70776764613 & 241.789339919376 \tabularnewline
0.7 & 8733.80277639886 & 231.137037650707 \tabularnewline
0.71 & 8775.39510173828 & 221.353467924378 \tabularnewline
0.72 & 8815.47470472684 & 212.01933496503 \tabularnewline
0.73 & 8853.95801941659 & 202.456274350706 \tabularnewline
0.74 & 8890.67503226274 & 191.973230334255 \tabularnewline
0.75 & 8925.38014420283 & 180.022147246703 \tabularnewline
0.76 & 8957.78489693536 & 166.337859121201 \tabularnewline
0.77 & 8987.60587822601 & 151.00545833611 \tabularnewline
0.78 & 9014.61802012018 & 134.444022513047 \tabularnewline
0.79 & 9038.70280099605 & 117.339607123944 \tabularnewline
0.8 & 9059.8827284011 & 100.518289796473 \tabularnewline
0.81 & 9078.33754487356 & 84.8559666424949 \tabularnewline
0.82 & 9094.40316242648 & 71.117903242478 \tabularnewline
0.83 & 9108.5606820492 & 59.9576283579523 \tabularnewline
0.84 & 9121.42949910222 & 51.847805255548 \tabularnewline
0.85 & 9133.78493787636 & 47.1651816475688 \tabularnewline
0.86 & 9146.62552357501 & 46.3398889648676 \tabularnewline
0.87 & 9161.31320152541 & 50.1425756560342 \tabularnewline
0.88 & 9179.79173595231 & 60.2253136286509 \tabularnewline
0.89 & 9204.84016574877 & 79.4054668330147 \tabularnewline
0.9 & 9240.23023209552 & 111.225451708466 \tabularnewline
0.91 & 9290.54505666025 & 158.388866787136 \tabularnewline
0.92 & 9360.34921130412 & 220.192873820707 \tabularnewline
0.93 & 9452.50623886736 & 289.341701837654 \tabularnewline
0.94 & 9565.85170545365 & 349.833851985776 \tabularnewline
0.95 & 9693.13330402631 & 378.955704742591 \tabularnewline
0.96 & 9820.77008705161 & 356.020047698178 \tabularnewline
0.97 & 9931.84780909206 & 276.422805416078 \tabularnewline
0.98 & 10012.2248872745 & 162.384683270087 \tabularnewline
0.99 & 10057.0182089782 & 57.4570944341009 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]6376.77528086003[/C][C]24.3360091634657[/C][/ROW]
[ROW][C]0.02[/C][C]6395.88289358372[/C][C]69.1997099088045[/C][/ROW]
[ROW][C]0.03[/C][C]6430.51016037493[/C][C]119.063607700363[/C][/ROW]
[ROW][C]0.04[/C][C]6479.13261806351[/C][C]156.227263935808[/C][/ROW]
[ROW][C]0.05[/C][C]6536.45668366226[/C][C]171.759434530808[/C][/ROW]
[ROW][C]0.06[/C][C]6596.01445541335[/C][C]167.711130960308[/C][/ROW]
[ROW][C]0.07[/C][C]6652.57772806905[/C][C]152.609137946343[/C][/ROW]
[ROW][C]0.08[/C][C]6703.29836409094[/C][C]135.503794509593[/C][/ROW]
[ROW][C]0.09[/C][C]6747.55858786984[/C][C]122.106597891841[/C][/ROW]
[ROW][C]0.1[/C][C]6786.13088727569[/C][C]113.844534307127[/C][/ROW]
[ROW][C]0.11[/C][C]6820.27752747412[/C][C]109.338128126194[/C][/ROW]
[ROW][C]0.12[/C][C]6851.14098756609[/C][C]106.444209880131[/C][/ROW]
[ROW][C]0.13[/C][C]6879.48736296603[/C][C]103.498293709062[/C][/ROW]
[ROW][C]0.14[/C][C]6905.70482191362[/C][C]99.5733856794989[/C][/ROW]
[ROW][C]0.15[/C][C]6929.92556198545[/C][C]94.3992557593105[/C][/ROW]
[ROW][C]0.16[/C][C]6952.17228194413[/C][C]88.2046695113004[/C][/ROW]
[ROW][C]0.17[/C][C]6972.47612611448[/C][C]81.5615196050679[/C][/ROW]
[ROW][C]0.18[/C][C]6990.94745583985[/C][C]75.2268433887424[/C][/ROW]
[ROW][C]0.19[/C][C]7007.80006552565[/C][C]69.9795528877309[/C][/ROW]
[ROW][C]0.2[/C][C]7023.33842776066[/C][C]66.4318927349289[/C][/ROW]
[ROW][C]0.21[/C][C]7037.9211247365[/C][C]64.867051859675[/C][/ROW]
[ROW][C]0.22[/C][C]7051.91428843901[/C][C]65.1796993754794[/C][/ROW]
[ROW][C]0.23[/C][C]7065.64743323114[/C][C]66.9392645562339[/C][/ROW]
[ROW][C]0.24[/C][C]7079.38094028095[/C][C]69.5723070120969[/C][/ROW]
[ROW][C]0.25[/C][C]7093.29033167317[/C][C]72.5286306291452[/C][/ROW]
[ROW][C]0.26[/C][C]7107.46827085314[/C][C]75.3604125934108[/C][/ROW]
[ROW][C]0.27[/C][C]7121.94176839337[/C][C]77.8278089112155[/C][/ROW]
[ROW][C]0.28[/C][C]7136.69983163047[/C][C]79.8686509901148[/C][/ROW]
[ROW][C]0.29[/C][C]7151.72584721175[/C][C]81.6341262088217[/C][/ROW]
[ROW][C]0.3[/C][C]7167.02911219621[/C][C]83.4461590832416[/C][/ROW]
[ROW][C]0.31[/C][C]7182.67079514999[/C][C]85.7954617091354[/C][/ROW]
[ROW][C]0.32[/C][C]7198.78088868377[/C][C]89.2376616626546[/C][/ROW]
[ROW][C]0.33[/C][C]7215.56416191392[/C][C]94.3318177970707[/C][/ROW]
[ROW][C]0.34[/C][C]7233.29457166655[/C][C]101.546494613279[/C][/ROW]
[ROW][C]0.35[/C][C]7252.29893864256[/C][C]111.141593344556[/C][/ROW]
[ROW][C]0.36[/C][C]7272.93186061759[/C][C]123.152025870565[/C][/ROW]
[ROW][C]0.37[/C][C]7295.54475046457[/C][C]137.369411466148[/C][/ROW]
[ROW][C]0.38[/C][C]7320.45249148454[/C][C]153.358726397087[/C][/ROW]
[ROW][C]0.39[/C][C]7347.90145100033[/C][C]170.526849808284[/C][/ROW]
[ROW][C]0.4[/C][C]7378.04246635527[/C][C]188.148712148481[/C][/ROW]
[ROW][C]0.41[/C][C]7410.91192953294[/C][C]205.44050901303[/C][/ROW]
[ROW][C]0.42[/C][C]7446.4232958467[/C][C]221.614984725644[/C][/ROW]
[ROW][C]0.43[/C][C]7484.37030573171[/C][C]235.949060946615[/C][/ROW]
[ROW][C]0.44[/C][C]7524.44203336889[/C][C]247.856957296273[/C][/ROW]
[ROW][C]0.45[/C][C]7566.24866700445[/C][C]256.937425916017[/C][/ROW]
[ROW][C]0.46[/C][C]7609.35578722943[/C][C]263.021788526342[/C][/ROW]
[ROW][C]0.47[/C][C]7653.32393645933[/C][C]266.196047698244[/C][/ROW]
[ROW][C]0.48[/C][C]7697.74954935568[/C][C]266.80392443844[/C][/ROW]
[ROW][C]0.49[/C][C]7742.30291340216[/C][C]265.429166058545[/C][/ROW]
[ROW][C]0.5[/C][C]7786.75881626448[/C][C]262.843184072631[/C][/ROW]
[ROW][C]0.51[/C][C]7831.01596748464[/C][C]259.951063573957[/C][/ROW]
[ROW][C]0.52[/C][C]7875.10219426387[/C][C]257.682067745035[/C][/ROW]
[ROW][C]0.53[/C][C]7919.16380635914[/C][C]256.887322160498[/C][/ROW]
[ROW][C]0.54[/C][C]7963.43934314555[/C][C]258.194281013937[/C][/ROW]
[ROW][C]0.55[/C][C]8008.22000781588[/C][C]261.896955402641[/C][/ROW]
[ROW][C]0.56[/C][C]8053.80120758225[/C][C]267.863766847189[/C][/ROW]
[ROW][C]0.57[/C][C]8100.43141065208[/C][C]275.548153461909[/C][/ROW]
[ROW][C]0.58[/C][C]8148.26561068407[/C][C]284.056414852988[/C][/ROW]
[ROW][C]0.59[/C][C]8197.3307020777[/C][C]292.283866913113[/C][/ROW]
[ROW][C]0.6[/C][C]8247.5087959802[/C][C]299.092518537643[/C][/ROW]
[ROW][C]0.61[/C][C]8298.54196159508[/C][C]303.479240585414[/C][/ROW]
[ROW][C]0.62[/C][C]8350.05836613754[/C][C]304.710985174546[/C][/ROW]
[ROW][C]0.63[/C][C]8401.61589794832[/C][C]302.438324324836[/C][/ROW]
[ROW][C]0.64[/C][C]8452.75587034027[/C][C]296.749271879926[/C][/ROW]
[ROW][C]0.65[/C][C]8503.05712518788[/C][C]288.124966275174[/C][/ROW]
[ROW][C]0.66[/C][C]8552.18041631392[/C][C]277.375793004571[/C][/ROW]
[ROW][C]0.67[/C][C]8599.89462253336[/C][C]265.467801713753[/C][/ROW]
[ROW][C]0.68[/C][C]8646.07991164964[/C][C]253.36161054803[/C][/ROW]
[ROW][C]0.69[/C][C]8690.70776764613[/C][C]241.789339919376[/C][/ROW]
[ROW][C]0.7[/C][C]8733.80277639886[/C][C]231.137037650707[/C][/ROW]
[ROW][C]0.71[/C][C]8775.39510173828[/C][C]221.353467924378[/C][/ROW]
[ROW][C]0.72[/C][C]8815.47470472684[/C][C]212.01933496503[/C][/ROW]
[ROW][C]0.73[/C][C]8853.95801941659[/C][C]202.456274350706[/C][/ROW]
[ROW][C]0.74[/C][C]8890.67503226274[/C][C]191.973230334255[/C][/ROW]
[ROW][C]0.75[/C][C]8925.38014420283[/C][C]180.022147246703[/C][/ROW]
[ROW][C]0.76[/C][C]8957.78489693536[/C][C]166.337859121201[/C][/ROW]
[ROW][C]0.77[/C][C]8987.60587822601[/C][C]151.00545833611[/C][/ROW]
[ROW][C]0.78[/C][C]9014.61802012018[/C][C]134.444022513047[/C][/ROW]
[ROW][C]0.79[/C][C]9038.70280099605[/C][C]117.339607123944[/C][/ROW]
[ROW][C]0.8[/C][C]9059.8827284011[/C][C]100.518289796473[/C][/ROW]
[ROW][C]0.81[/C][C]9078.33754487356[/C][C]84.8559666424949[/C][/ROW]
[ROW][C]0.82[/C][C]9094.40316242648[/C][C]71.117903242478[/C][/ROW]
[ROW][C]0.83[/C][C]9108.5606820492[/C][C]59.9576283579523[/C][/ROW]
[ROW][C]0.84[/C][C]9121.42949910222[/C][C]51.847805255548[/C][/ROW]
[ROW][C]0.85[/C][C]9133.78493787636[/C][C]47.1651816475688[/C][/ROW]
[ROW][C]0.86[/C][C]9146.62552357501[/C][C]46.3398889648676[/C][/ROW]
[ROW][C]0.87[/C][C]9161.31320152541[/C][C]50.1425756560342[/C][/ROW]
[ROW][C]0.88[/C][C]9179.79173595231[/C][C]60.2253136286509[/C][/ROW]
[ROW][C]0.89[/C][C]9204.84016574877[/C][C]79.4054668330147[/C][/ROW]
[ROW][C]0.9[/C][C]9240.23023209552[/C][C]111.225451708466[/C][/ROW]
[ROW][C]0.91[/C][C]9290.54505666025[/C][C]158.388866787136[/C][/ROW]
[ROW][C]0.92[/C][C]9360.34921130412[/C][C]220.192873820707[/C][/ROW]
[ROW][C]0.93[/C][C]9452.50623886736[/C][C]289.341701837654[/C][/ROW]
[ROW][C]0.94[/C][C]9565.85170545365[/C][C]349.833851985776[/C][/ROW]
[ROW][C]0.95[/C][C]9693.13330402631[/C][C]378.955704742591[/C][/ROW]
[ROW][C]0.96[/C][C]9820.77008705161[/C][C]356.020047698178[/C][/ROW]
[ROW][C]0.97[/C][C]9931.84780909206[/C][C]276.422805416078[/C][/ROW]
[ROW][C]0.98[/C][C]10012.2248872745[/C][C]162.384683270087[/C][/ROW]
[ROW][C]0.99[/C][C]10057.0182089782[/C][C]57.4570944341009[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.016376.7752808600324.3360091634657
0.026395.8828935837269.1997099088045
0.036430.51016037493119.063607700363
0.046479.13261806351156.227263935808
0.056536.45668366226171.759434530808
0.066596.01445541335167.711130960308
0.076652.57772806905152.609137946343
0.086703.29836409094135.503794509593
0.096747.55858786984122.106597891841
0.16786.13088727569113.844534307127
0.116820.27752747412109.338128126194
0.126851.14098756609106.444209880131
0.136879.48736296603103.498293709062
0.146905.7048219136299.5733856794989
0.156929.9255619854594.3992557593105
0.166952.1722819441388.2046695113004
0.176972.4761261144881.5615196050679
0.186990.9474558398575.2268433887424
0.197007.8000655256569.9795528877309
0.27023.3384277606666.4318927349289
0.217037.921124736564.867051859675
0.227051.9142884390165.1796993754794
0.237065.6474332311466.9392645562339
0.247079.3809402809569.5723070120969
0.257093.2903316731772.5286306291452
0.267107.4682708531475.3604125934108
0.277121.9417683933777.8278089112155
0.287136.6998316304779.8686509901148
0.297151.7258472117581.6341262088217
0.37167.0291121962183.4461590832416
0.317182.6707951499985.7954617091354
0.327198.7808886837789.2376616626546
0.337215.5641619139294.3318177970707
0.347233.29457166655101.546494613279
0.357252.29893864256111.141593344556
0.367272.93186061759123.152025870565
0.377295.54475046457137.369411466148
0.387320.45249148454153.358726397087
0.397347.90145100033170.526849808284
0.47378.04246635527188.148712148481
0.417410.91192953294205.44050901303
0.427446.4232958467221.614984725644
0.437484.37030573171235.949060946615
0.447524.44203336889247.856957296273
0.457566.24866700445256.937425916017
0.467609.35578722943263.021788526342
0.477653.32393645933266.196047698244
0.487697.74954935568266.80392443844
0.497742.30291340216265.429166058545
0.57786.75881626448262.843184072631
0.517831.01596748464259.951063573957
0.527875.10219426387257.682067745035
0.537919.16380635914256.887322160498
0.547963.43934314555258.194281013937
0.558008.22000781588261.896955402641
0.568053.80120758225267.863766847189
0.578100.43141065208275.548153461909
0.588148.26561068407284.056414852988
0.598197.3307020777292.283866913113
0.68247.5087959802299.092518537643
0.618298.54196159508303.479240585414
0.628350.05836613754304.710985174546
0.638401.61589794832302.438324324836
0.648452.75587034027296.749271879926
0.658503.05712518788288.124966275174
0.668552.18041631392277.375793004571
0.678599.89462253336265.467801713753
0.688646.07991164964253.36161054803
0.698690.70776764613241.789339919376
0.78733.80277639886231.137037650707
0.718775.39510173828221.353467924378
0.728815.47470472684212.01933496503
0.738853.95801941659202.456274350706
0.748890.67503226274191.973230334255
0.758925.38014420283180.022147246703
0.768957.78489693536166.337859121201
0.778987.60587822601151.00545833611
0.789014.61802012018134.444022513047
0.799038.70280099605117.339607123944
0.89059.8827284011100.518289796473
0.819078.3375448735684.8559666424949
0.829094.4031624264871.117903242478
0.839108.560682049259.9576283579523
0.849121.4294991022251.847805255548
0.859133.7849378763647.1651816475688
0.869146.6255235750146.3398889648676
0.879161.3132015254150.1425756560342
0.889179.7917359523160.2253136286509
0.899204.8401657487779.4054668330147
0.99240.23023209552111.225451708466
0.919290.54505666025158.388866787136
0.929360.34921130412220.192873820707
0.939452.50623886736289.341701837654
0.949565.85170545365349.833851985776
0.959693.13330402631378.955704742591
0.969820.77008705161356.020047698178
0.979931.84780909206276.422805416078
0.9810012.2248872745162.384683270087
0.9910057.018208978257.4570944341009



Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')