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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 computationMon, 19 Aug 2013 10:47:28 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Aug/19/t1376923671r6kitrefwrzrj3s.htm/, Retrieved Thu, 02 May 2024 23:30:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=211216, Retrieved Thu, 02 May 2024 23:30:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsJespers Eva
Estimated Impact142

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 B - Stap 7] [2013-08-19 14:47:28] [987ccabfb1247e6edeac48c68eb55107] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
19570
18845
19932
15946
20657
20294
21744
22469
25006
21744
20657
25730
21744
16308
19207
14496
20294
16670
22106
19932
21019
23556
23194
27542
19932
16670
18482
13409
19207
14858
21019
19932
17758
25368
22831
26093
19570
18120
16308
13409
17758
15946
21744
21019
18120
24281
22469
28992
23194
14134
14134
14134
16670
16670
22469
20657
18482
23194
21382
30804
24281
14134
14858
12322
17033
19570
24643
24281
19570
22831
20294
28992
22106
17758
15946
11959
17758
21382
25006
23556
17395
25006
19570
30079
25006
18120
16670
11234
17758
17033
25730
25730
19570
25368
18845
29354
25006
18482
14134
9785
19207
18482
24281
27905
20657
23194
17395
30079

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' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211216&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211216&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211216&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' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110527.54428038561143.68468203472
0.0211466.1361198121944.305626307502
0.0312226.838723012897.329399069203
0.0412818.4635992854837.243977559063
0.0513284.4108915034716.132042185904
0.0613643.3157665867578.463020239609
0.0713917.5318510977482.859036987217
0.0814139.9683506678466.190590776821
0.0914344.8577625825524.721443297011
0.114557.6766351166621.331141483857
0.1114790.1782138457715.453277075699
0.1215041.0813481079778.45501445615
0.1315300.5455077377797.476598626723
0.1415555.7959664488774.361230888676
0.1515795.7440250163721.046260852571
0.1616013.5655258829653.556054337491
0.1716207.2575521687586.992133130297
0.1816378.7948239477532.46481730356
0.1916532.631708905495.889070178931
0.216674.1333340843478.075406447175
0.2116808.2848112163475.369110336575
0.2216938.8436247015481.56006464005
0.2317067.9824398194490.011036485283
0.2417196.3831044759495.623974433919
0.2517323.6645369711495.819327334394
0.2617448.9685127167490.737898598931
0.2717571.5140070545482.467353988289
0.2817690.9737870801474.105021685353
0.2917807.6094639249468.504989573451
0.317922.1879797169467.463688439028
0.3118035.7606251238471.412474695026
0.3218149.4007651651479.639873606824
0.3318263.9756988084490.555298967304
0.3418379.9917036127502.331174135997
0.3518497.5195633682512.950475410792
0.3618616.1914039934520.603174293801
0.3718735.2573274519523.670939608314
0.3818853.6936117779521.158465510025
0.3918970.3543455997512.774609898366
0.419084.1516583743499.103416628294
0.4119194.2390119781481.732727188846
0.4219300.1639815731462.833280019912
0.4319401.9576989295445.027529004387
0.4419500.1397675644430.750215537192
0.4519595.6370485427421.783903551803
0.4619689.6358064904419.044090943759
0.4719783.4022883595422.327479121435
0.4819878.112141574430.587925313582
0.4919974.7232015064442.363823900021
0.520073.9117522309456.066184104342
0.5120176.0742824243470.384011159617
0.5220281.3803346743484.45811620463
0.5320389.8515040035497.91750924723
0.5420501.4392201195510.770009300314
0.5520616.0795980079523.133101763278
0.5620733.7151455421535.162771746169
0.5720854.2865967036546.804826298425
0.5820977.7090234906557.775971056487
0.5921103.8508148161567.722040905792
0.621232.5304745398576.253058823794
0.6121363.5360485766583.306150947652
0.6221496.6598279144588.935719661434
0.6321631.7325081115593.520324439022
0.6421768.6406190716597.45322964354
0.6521907.3196035283601.011060327793
0.6622047.7288831753604.193559606846
0.6722189.8278964683606.809120566124
0.6822333.5763129241608.633546110363
0.6922478.9731863857609.771642134969
0.722626.1298267016610.770757913173
0.7122775.3468129196612.599159799795
0.7222927.1482622292616.496709942613
0.7323082.2274950812623.346097152026
0.7423241.2827742908633.020369253692
0.7523404.7640614631644.031672957098
0.7623572.5950920133653.553225184989
0.7723743.9593352448658.055530419252
0.7823917.2316034914654.238050119274
0.7924090.1035156019639.868825346909
0.824259.9076872859614.380420544428
0.8124424.1078341767579.173276488069
0.8224580.8924872626537.635250373761
0.8324729.7855614206495.076845285228
0.8424872.1813052751458.372282341803
0.8525011.76148951435.258547351474
0.8625154.8739646702433.404688132707
0.8725311.0497247356460.545756688461
0.8825493.6789780498525.612419287922
0.8925720.2566043138637.891612413658
0.926010.7559193744799.144114157392
0.9126382.5037072879991.251397604008
0.9226841.63085167141169.92397110061
0.9327374.91541796491274.78323163997
0.9427948.98739225991258.89625317321
0.9528521.29799566631123.2838522434
0.9629057.3582979234922.442330594827
0.9729543.7964042039714.950839368009
0.9829999.5031997984534.369355836788
0.9930458.2942517908530.330377718159

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10527.5442803856 & 1143.68468203472 \tabularnewline
0.02 & 11466.1361198121 & 944.305626307502 \tabularnewline
0.03 & 12226.838723012 & 897.329399069203 \tabularnewline
0.04 & 12818.4635992854 & 837.243977559063 \tabularnewline
0.05 & 13284.4108915034 & 716.132042185904 \tabularnewline
0.06 & 13643.3157665867 & 578.463020239609 \tabularnewline
0.07 & 13917.5318510977 & 482.859036987217 \tabularnewline
0.08 & 14139.9683506678 & 466.190590776821 \tabularnewline
0.09 & 14344.8577625825 & 524.721443297011 \tabularnewline
0.1 & 14557.6766351166 & 621.331141483857 \tabularnewline
0.11 & 14790.1782138457 & 715.453277075699 \tabularnewline
0.12 & 15041.0813481079 & 778.45501445615 \tabularnewline
0.13 & 15300.5455077377 & 797.476598626723 \tabularnewline
0.14 & 15555.7959664488 & 774.361230888676 \tabularnewline
0.15 & 15795.7440250163 & 721.046260852571 \tabularnewline
0.16 & 16013.5655258829 & 653.556054337491 \tabularnewline
0.17 & 16207.2575521687 & 586.992133130297 \tabularnewline
0.18 & 16378.7948239477 & 532.46481730356 \tabularnewline
0.19 & 16532.631708905 & 495.889070178931 \tabularnewline
0.2 & 16674.1333340843 & 478.075406447175 \tabularnewline
0.21 & 16808.2848112163 & 475.369110336575 \tabularnewline
0.22 & 16938.8436247015 & 481.56006464005 \tabularnewline
0.23 & 17067.9824398194 & 490.011036485283 \tabularnewline
0.24 & 17196.3831044759 & 495.623974433919 \tabularnewline
0.25 & 17323.6645369711 & 495.819327334394 \tabularnewline
0.26 & 17448.9685127167 & 490.737898598931 \tabularnewline
0.27 & 17571.5140070545 & 482.467353988289 \tabularnewline
0.28 & 17690.9737870801 & 474.105021685353 \tabularnewline
0.29 & 17807.6094639249 & 468.504989573451 \tabularnewline
0.3 & 17922.1879797169 & 467.463688439028 \tabularnewline
0.31 & 18035.7606251238 & 471.412474695026 \tabularnewline
0.32 & 18149.4007651651 & 479.639873606824 \tabularnewline
0.33 & 18263.9756988084 & 490.555298967304 \tabularnewline
0.34 & 18379.9917036127 & 502.331174135997 \tabularnewline
0.35 & 18497.5195633682 & 512.950475410792 \tabularnewline
0.36 & 18616.1914039934 & 520.603174293801 \tabularnewline
0.37 & 18735.2573274519 & 523.670939608314 \tabularnewline
0.38 & 18853.6936117779 & 521.158465510025 \tabularnewline
0.39 & 18970.3543455997 & 512.774609898366 \tabularnewline
0.4 & 19084.1516583743 & 499.103416628294 \tabularnewline
0.41 & 19194.2390119781 & 481.732727188846 \tabularnewline
0.42 & 19300.1639815731 & 462.833280019912 \tabularnewline
0.43 & 19401.9576989295 & 445.027529004387 \tabularnewline
0.44 & 19500.1397675644 & 430.750215537192 \tabularnewline
0.45 & 19595.6370485427 & 421.783903551803 \tabularnewline
0.46 & 19689.6358064904 & 419.044090943759 \tabularnewline
0.47 & 19783.4022883595 & 422.327479121435 \tabularnewline
0.48 & 19878.112141574 & 430.587925313582 \tabularnewline
0.49 & 19974.7232015064 & 442.363823900021 \tabularnewline
0.5 & 20073.9117522309 & 456.066184104342 \tabularnewline
0.51 & 20176.0742824243 & 470.384011159617 \tabularnewline
0.52 & 20281.3803346743 & 484.45811620463 \tabularnewline
0.53 & 20389.8515040035 & 497.91750924723 \tabularnewline
0.54 & 20501.4392201195 & 510.770009300314 \tabularnewline
0.55 & 20616.0795980079 & 523.133101763278 \tabularnewline
0.56 & 20733.7151455421 & 535.162771746169 \tabularnewline
0.57 & 20854.2865967036 & 546.804826298425 \tabularnewline
0.58 & 20977.7090234906 & 557.775971056487 \tabularnewline
0.59 & 21103.8508148161 & 567.722040905792 \tabularnewline
0.6 & 21232.5304745398 & 576.253058823794 \tabularnewline
0.61 & 21363.5360485766 & 583.306150947652 \tabularnewline
0.62 & 21496.6598279144 & 588.935719661434 \tabularnewline
0.63 & 21631.7325081115 & 593.520324439022 \tabularnewline
0.64 & 21768.6406190716 & 597.45322964354 \tabularnewline
0.65 & 21907.3196035283 & 601.011060327793 \tabularnewline
0.66 & 22047.7288831753 & 604.193559606846 \tabularnewline
0.67 & 22189.8278964683 & 606.809120566124 \tabularnewline
0.68 & 22333.5763129241 & 608.633546110363 \tabularnewline
0.69 & 22478.9731863857 & 609.771642134969 \tabularnewline
0.7 & 22626.1298267016 & 610.770757913173 \tabularnewline
0.71 & 22775.3468129196 & 612.599159799795 \tabularnewline
0.72 & 22927.1482622292 & 616.496709942613 \tabularnewline
0.73 & 23082.2274950812 & 623.346097152026 \tabularnewline
0.74 & 23241.2827742908 & 633.020369253692 \tabularnewline
0.75 & 23404.7640614631 & 644.031672957098 \tabularnewline
0.76 & 23572.5950920133 & 653.553225184989 \tabularnewline
0.77 & 23743.9593352448 & 658.055530419252 \tabularnewline
0.78 & 23917.2316034914 & 654.238050119274 \tabularnewline
0.79 & 24090.1035156019 & 639.868825346909 \tabularnewline
0.8 & 24259.9076872859 & 614.380420544428 \tabularnewline
0.81 & 24424.1078341767 & 579.173276488069 \tabularnewline
0.82 & 24580.8924872626 & 537.635250373761 \tabularnewline
0.83 & 24729.7855614206 & 495.076845285228 \tabularnewline
0.84 & 24872.1813052751 & 458.372282341803 \tabularnewline
0.85 & 25011.76148951 & 435.258547351474 \tabularnewline
0.86 & 25154.8739646702 & 433.404688132707 \tabularnewline
0.87 & 25311.0497247356 & 460.545756688461 \tabularnewline
0.88 & 25493.6789780498 & 525.612419287922 \tabularnewline
0.89 & 25720.2566043138 & 637.891612413658 \tabularnewline
0.9 & 26010.7559193744 & 799.144114157392 \tabularnewline
0.91 & 26382.5037072879 & 991.251397604008 \tabularnewline
0.92 & 26841.6308516714 & 1169.92397110061 \tabularnewline
0.93 & 27374.9154179649 & 1274.78323163997 \tabularnewline
0.94 & 27948.9873922599 & 1258.89625317321 \tabularnewline
0.95 & 28521.2979956663 & 1123.2838522434 \tabularnewline
0.96 & 29057.3582979234 & 922.442330594827 \tabularnewline
0.97 & 29543.7964042039 & 714.950839368009 \tabularnewline
0.98 & 29999.5031997984 & 534.369355836788 \tabularnewline
0.99 & 30458.2942517908 & 530.330377718159 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211216&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]10527.5442803856[/C][C]1143.68468203472[/C][/ROW]
[ROW][C]0.02[/C][C]11466.1361198121[/C][C]944.305626307502[/C][/ROW]
[ROW][C]0.03[/C][C]12226.838723012[/C][C]897.329399069203[/C][/ROW]
[ROW][C]0.04[/C][C]12818.4635992854[/C][C]837.243977559063[/C][/ROW]
[ROW][C]0.05[/C][C]13284.4108915034[/C][C]716.132042185904[/C][/ROW]
[ROW][C]0.06[/C][C]13643.3157665867[/C][C]578.463020239609[/C][/ROW]
[ROW][C]0.07[/C][C]13917.5318510977[/C][C]482.859036987217[/C][/ROW]
[ROW][C]0.08[/C][C]14139.9683506678[/C][C]466.190590776821[/C][/ROW]
[ROW][C]0.09[/C][C]14344.8577625825[/C][C]524.721443297011[/C][/ROW]
[ROW][C]0.1[/C][C]14557.6766351166[/C][C]621.331141483857[/C][/ROW]
[ROW][C]0.11[/C][C]14790.1782138457[/C][C]715.453277075699[/C][/ROW]
[ROW][C]0.12[/C][C]15041.0813481079[/C][C]778.45501445615[/C][/ROW]
[ROW][C]0.13[/C][C]15300.5455077377[/C][C]797.476598626723[/C][/ROW]
[ROW][C]0.14[/C][C]15555.7959664488[/C][C]774.361230888676[/C][/ROW]
[ROW][C]0.15[/C][C]15795.7440250163[/C][C]721.046260852571[/C][/ROW]
[ROW][C]0.16[/C][C]16013.5655258829[/C][C]653.556054337491[/C][/ROW]
[ROW][C]0.17[/C][C]16207.2575521687[/C][C]586.992133130297[/C][/ROW]
[ROW][C]0.18[/C][C]16378.7948239477[/C][C]532.46481730356[/C][/ROW]
[ROW][C]0.19[/C][C]16532.631708905[/C][C]495.889070178931[/C][/ROW]
[ROW][C]0.2[/C][C]16674.1333340843[/C][C]478.075406447175[/C][/ROW]
[ROW][C]0.21[/C][C]16808.2848112163[/C][C]475.369110336575[/C][/ROW]
[ROW][C]0.22[/C][C]16938.8436247015[/C][C]481.56006464005[/C][/ROW]
[ROW][C]0.23[/C][C]17067.9824398194[/C][C]490.011036485283[/C][/ROW]
[ROW][C]0.24[/C][C]17196.3831044759[/C][C]495.623974433919[/C][/ROW]
[ROW][C]0.25[/C][C]17323.6645369711[/C][C]495.819327334394[/C][/ROW]
[ROW][C]0.26[/C][C]17448.9685127167[/C][C]490.737898598931[/C][/ROW]
[ROW][C]0.27[/C][C]17571.5140070545[/C][C]482.467353988289[/C][/ROW]
[ROW][C]0.28[/C][C]17690.9737870801[/C][C]474.105021685353[/C][/ROW]
[ROW][C]0.29[/C][C]17807.6094639249[/C][C]468.504989573451[/C][/ROW]
[ROW][C]0.3[/C][C]17922.1879797169[/C][C]467.463688439028[/C][/ROW]
[ROW][C]0.31[/C][C]18035.7606251238[/C][C]471.412474695026[/C][/ROW]
[ROW][C]0.32[/C][C]18149.4007651651[/C][C]479.639873606824[/C][/ROW]
[ROW][C]0.33[/C][C]18263.9756988084[/C][C]490.555298967304[/C][/ROW]
[ROW][C]0.34[/C][C]18379.9917036127[/C][C]502.331174135997[/C][/ROW]
[ROW][C]0.35[/C][C]18497.5195633682[/C][C]512.950475410792[/C][/ROW]
[ROW][C]0.36[/C][C]18616.1914039934[/C][C]520.603174293801[/C][/ROW]
[ROW][C]0.37[/C][C]18735.2573274519[/C][C]523.670939608314[/C][/ROW]
[ROW][C]0.38[/C][C]18853.6936117779[/C][C]521.158465510025[/C][/ROW]
[ROW][C]0.39[/C][C]18970.3543455997[/C][C]512.774609898366[/C][/ROW]
[ROW][C]0.4[/C][C]19084.1516583743[/C][C]499.103416628294[/C][/ROW]
[ROW][C]0.41[/C][C]19194.2390119781[/C][C]481.732727188846[/C][/ROW]
[ROW][C]0.42[/C][C]19300.1639815731[/C][C]462.833280019912[/C][/ROW]
[ROW][C]0.43[/C][C]19401.9576989295[/C][C]445.027529004387[/C][/ROW]
[ROW][C]0.44[/C][C]19500.1397675644[/C][C]430.750215537192[/C][/ROW]
[ROW][C]0.45[/C][C]19595.6370485427[/C][C]421.783903551803[/C][/ROW]
[ROW][C]0.46[/C][C]19689.6358064904[/C][C]419.044090943759[/C][/ROW]
[ROW][C]0.47[/C][C]19783.4022883595[/C][C]422.327479121435[/C][/ROW]
[ROW][C]0.48[/C][C]19878.112141574[/C][C]430.587925313582[/C][/ROW]
[ROW][C]0.49[/C][C]19974.7232015064[/C][C]442.363823900021[/C][/ROW]
[ROW][C]0.5[/C][C]20073.9117522309[/C][C]456.066184104342[/C][/ROW]
[ROW][C]0.51[/C][C]20176.0742824243[/C][C]470.384011159617[/C][/ROW]
[ROW][C]0.52[/C][C]20281.3803346743[/C][C]484.45811620463[/C][/ROW]
[ROW][C]0.53[/C][C]20389.8515040035[/C][C]497.91750924723[/C][/ROW]
[ROW][C]0.54[/C][C]20501.4392201195[/C][C]510.770009300314[/C][/ROW]
[ROW][C]0.55[/C][C]20616.0795980079[/C][C]523.133101763278[/C][/ROW]
[ROW][C]0.56[/C][C]20733.7151455421[/C][C]535.162771746169[/C][/ROW]
[ROW][C]0.57[/C][C]20854.2865967036[/C][C]546.804826298425[/C][/ROW]
[ROW][C]0.58[/C][C]20977.7090234906[/C][C]557.775971056487[/C][/ROW]
[ROW][C]0.59[/C][C]21103.8508148161[/C][C]567.722040905792[/C][/ROW]
[ROW][C]0.6[/C][C]21232.5304745398[/C][C]576.253058823794[/C][/ROW]
[ROW][C]0.61[/C][C]21363.5360485766[/C][C]583.306150947652[/C][/ROW]
[ROW][C]0.62[/C][C]21496.6598279144[/C][C]588.935719661434[/C][/ROW]
[ROW][C]0.63[/C][C]21631.7325081115[/C][C]593.520324439022[/C][/ROW]
[ROW][C]0.64[/C][C]21768.6406190716[/C][C]597.45322964354[/C][/ROW]
[ROW][C]0.65[/C][C]21907.3196035283[/C][C]601.011060327793[/C][/ROW]
[ROW][C]0.66[/C][C]22047.7288831753[/C][C]604.193559606846[/C][/ROW]
[ROW][C]0.67[/C][C]22189.8278964683[/C][C]606.809120566124[/C][/ROW]
[ROW][C]0.68[/C][C]22333.5763129241[/C][C]608.633546110363[/C][/ROW]
[ROW][C]0.69[/C][C]22478.9731863857[/C][C]609.771642134969[/C][/ROW]
[ROW][C]0.7[/C][C]22626.1298267016[/C][C]610.770757913173[/C][/ROW]
[ROW][C]0.71[/C][C]22775.3468129196[/C][C]612.599159799795[/C][/ROW]
[ROW][C]0.72[/C][C]22927.1482622292[/C][C]616.496709942613[/C][/ROW]
[ROW][C]0.73[/C][C]23082.2274950812[/C][C]623.346097152026[/C][/ROW]
[ROW][C]0.74[/C][C]23241.2827742908[/C][C]633.020369253692[/C][/ROW]
[ROW][C]0.75[/C][C]23404.7640614631[/C][C]644.031672957098[/C][/ROW]
[ROW][C]0.76[/C][C]23572.5950920133[/C][C]653.553225184989[/C][/ROW]
[ROW][C]0.77[/C][C]23743.9593352448[/C][C]658.055530419252[/C][/ROW]
[ROW][C]0.78[/C][C]23917.2316034914[/C][C]654.238050119274[/C][/ROW]
[ROW][C]0.79[/C][C]24090.1035156019[/C][C]639.868825346909[/C][/ROW]
[ROW][C]0.8[/C][C]24259.9076872859[/C][C]614.380420544428[/C][/ROW]
[ROW][C]0.81[/C][C]24424.1078341767[/C][C]579.173276488069[/C][/ROW]
[ROW][C]0.82[/C][C]24580.8924872626[/C][C]537.635250373761[/C][/ROW]
[ROW][C]0.83[/C][C]24729.7855614206[/C][C]495.076845285228[/C][/ROW]
[ROW][C]0.84[/C][C]24872.1813052751[/C][C]458.372282341803[/C][/ROW]
[ROW][C]0.85[/C][C]25011.76148951[/C][C]435.258547351474[/C][/ROW]
[ROW][C]0.86[/C][C]25154.8739646702[/C][C]433.404688132707[/C][/ROW]
[ROW][C]0.87[/C][C]25311.0497247356[/C][C]460.545756688461[/C][/ROW]
[ROW][C]0.88[/C][C]25493.6789780498[/C][C]525.612419287922[/C][/ROW]
[ROW][C]0.89[/C][C]25720.2566043138[/C][C]637.891612413658[/C][/ROW]
[ROW][C]0.9[/C][C]26010.7559193744[/C][C]799.144114157392[/C][/ROW]
[ROW][C]0.91[/C][C]26382.5037072879[/C][C]991.251397604008[/C][/ROW]
[ROW][C]0.92[/C][C]26841.6308516714[/C][C]1169.92397110061[/C][/ROW]
[ROW][C]0.93[/C][C]27374.9154179649[/C][C]1274.78323163997[/C][/ROW]
[ROW][C]0.94[/C][C]27948.9873922599[/C][C]1258.89625317321[/C][/ROW]
[ROW][C]0.95[/C][C]28521.2979956663[/C][C]1123.2838522434[/C][/ROW]
[ROW][C]0.96[/C][C]29057.3582979234[/C][C]922.442330594827[/C][/ROW]
[ROW][C]0.97[/C][C]29543.7964042039[/C][C]714.950839368009[/C][/ROW]
[ROW][C]0.98[/C][C]29999.5031997984[/C][C]534.369355836788[/C][/ROW]
[ROW][C]0.99[/C][C]30458.2942517908[/C][C]530.330377718159[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211216&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211216&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
0.0110527.54428038561143.68468203472
0.0211466.1361198121944.305626307502
0.0312226.838723012897.329399069203
0.0412818.4635992854837.243977559063
0.0513284.4108915034716.132042185904
0.0613643.3157665867578.463020239609
0.0713917.5318510977482.859036987217
0.0814139.9683506678466.190590776821
0.0914344.8577625825524.721443297011
0.114557.6766351166621.331141483857
0.1114790.1782138457715.453277075699
0.1215041.0813481079778.45501445615
0.1315300.5455077377797.476598626723
0.1415555.7959664488774.361230888676
0.1515795.7440250163721.046260852571
0.1616013.5655258829653.556054337491
0.1716207.2575521687586.992133130297
0.1816378.7948239477532.46481730356
0.1916532.631708905495.889070178931
0.216674.1333340843478.075406447175
0.2116808.2848112163475.369110336575
0.2216938.8436247015481.56006464005
0.2317067.9824398194490.011036485283
0.2417196.3831044759495.623974433919
0.2517323.6645369711495.819327334394
0.2617448.9685127167490.737898598931
0.2717571.5140070545482.467353988289
0.2817690.9737870801474.105021685353
0.2917807.6094639249468.504989573451
0.317922.1879797169467.463688439028
0.3118035.7606251238471.412474695026
0.3218149.4007651651479.639873606824
0.3318263.9756988084490.555298967304
0.3418379.9917036127502.331174135997
0.3518497.5195633682512.950475410792
0.3618616.1914039934520.603174293801
0.3718735.2573274519523.670939608314
0.3818853.6936117779521.158465510025
0.3918970.3543455997512.774609898366
0.419084.1516583743499.103416628294
0.4119194.2390119781481.732727188846
0.4219300.1639815731462.833280019912
0.4319401.9576989295445.027529004387
0.4419500.1397675644430.750215537192
0.4519595.6370485427421.783903551803
0.4619689.6358064904419.044090943759
0.4719783.4022883595422.327479121435
0.4819878.112141574430.587925313582
0.4919974.7232015064442.363823900021
0.520073.9117522309456.066184104342
0.5120176.0742824243470.384011159617
0.5220281.3803346743484.45811620463
0.5320389.8515040035497.91750924723
0.5420501.4392201195510.770009300314
0.5520616.0795980079523.133101763278
0.5620733.7151455421535.162771746169
0.5720854.2865967036546.804826298425
0.5820977.7090234906557.775971056487
0.5921103.8508148161567.722040905792
0.621232.5304745398576.253058823794
0.6121363.5360485766583.306150947652
0.6221496.6598279144588.935719661434
0.6321631.7325081115593.520324439022
0.6421768.6406190716597.45322964354
0.6521907.3196035283601.011060327793
0.6622047.7288831753604.193559606846
0.6722189.8278964683606.809120566124
0.6822333.5763129241608.633546110363
0.6922478.9731863857609.771642134969
0.722626.1298267016610.770757913173
0.7122775.3468129196612.599159799795
0.7222927.1482622292616.496709942613
0.7323082.2274950812623.346097152026
0.7423241.2827742908633.020369253692
0.7523404.7640614631644.031672957098
0.7623572.5950920133653.553225184989
0.7723743.9593352448658.055530419252
0.7823917.2316034914654.238050119274
0.7924090.1035156019639.868825346909
0.824259.9076872859614.380420544428
0.8124424.1078341767579.173276488069
0.8224580.8924872626537.635250373761
0.8324729.7855614206495.076845285228
0.8424872.1813052751458.372282341803
0.8525011.76148951435.258547351474
0.8625154.8739646702433.404688132707
0.8725311.0497247356460.545756688461
0.8825493.6789780498525.612419287922
0.8925720.2566043138637.891612413658
0.926010.7559193744799.144114157392
0.9126382.5037072879991.251397604008
0.9226841.63085167141169.92397110061
0.9327374.91541796491274.78323163997
0.9427948.98739225991258.89625317321
0.9528521.29799566631123.2838522434
0.9629057.3582979234922.442330594827
0.9729543.7964042039714.950839368009
0.9829999.5031997984534.369355836788
0.9930458.2942517908530.330377718159


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')