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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 computationThu, 13 Feb 2014 04:41:40 -0500
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/Feb/13/t1392284599z6priyju7f7hqym.htm/, Retrieved Fri, 13 Feb 2026 03:38:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233555, Retrieved Fri, 13 Feb 2026 03:38:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact337

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] [gemiddelde prijze...] [2014-02-13 09:41:40] [dea6f921e04cc33dad49f75b9d343660] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
107.00
116.14
117.18
102.28
109.43
114.28
117.39
116.66
114.29
114.18
114.12
122.62
115.70
127.91
119.55
115.08
116.63
121.38
123.41
120.70
119.40
116.83
116.40
121.67
116.54
129.61
119.93
117.64
121.01
124.20
125.23
123.24
121.58
120.89
117.77
110.91
124.23
127.70
129.45
120.13
122.02
126.59
126.34
125.15
125.02
124.40
127.55
126.63
130.18
136.95
136.81
129.59
133.37
140.02
139.67
139.99
134.57
134.41
134.99
135.70

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=233555&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=233555&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233555&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
0.01103.4047516496674.17740214754063
0.02105.0714688199863.61599976284838
0.03106.8240975118563.19168323519558
0.04108.4056665023532.92678183426669
0.05109.7469380356242.72538950561491
0.06110.8640747674522.50275781131511
0.07111.7899809749192.22942367742452
0.08112.5524314768011.92183608902658
0.09113.1747921432681.6193362276904
0.1113.6803317027871.36148628921436
0.11114.09338465711.17279680260323
0.12114.4376034269791.05550913686542
0.13114.7334161731060.992376727758026
0.14114.9962957969540.95883494997515
0.15115.2364047045510.933884354443178
0.16115.4594055383780.905072015252337
0.17115.6678930126080.868332787460885
0.18115.8629065734970.825197806848814
0.19116.0451588696110.781166375605377
0.2116.2158219580140.742872618453856
0.21116.3768740475570.716957054669834
0.22116.5311006326160.708620233015294
0.23116.681873982320.720644199312834
0.24116.8328255708520.753376748452647
0.25116.9874983434630.804893753178962
0.26117.1490349253180.87130137006062
0.27117.3199322896630.948019325556117
0.28117.5018757414581.02998934610088
0.29117.6956545736341.11175660049035
0.3117.9011560559431.18861458169274
0.31118.1174310009111.25588799319915
0.32118.3428212039581.31020712251862
0.33118.5751358096711.34904852372134
0.34118.8118603104441.37134289909754
0.35119.0503792284471.37703154053777
0.36119.2881924738661.36787788765201
0.37119.5231065105061.3460825709318
0.38119.7533848431161.31500744598181
0.39119.9778474543511.27869465103303
0.4120.1959147676931.24055462178863
0.41120.4075975067781.20448323177637
0.42120.6134386550151.17361619686708
0.43120.8144171434931.15054682691884
0.44121.0118248488441.1366908206696
0.45121.2071291949351.13279380785841
0.46121.4018334727111.13849006645277
0.47121.5973462247581.15258952624667
0.48121.7948698381331.17312495757815
0.49121.9953168384611.19785106538885
0.5122.1992601717471.2240389611456
0.51122.4069209085021.24931455428593
0.52122.6181933506591.27149942460718
0.53122.8327037102851.28907138205444
0.54123.0498948046281.30123291260448
0.55123.2691261458811.3076750385949
0.56123.4897769694091.30923885534304
0.57123.711339573831.30688657893608
0.58123.9334920110241.30241471460929
0.59124.156142502531.2974607000802
0.6124.3794424796431.29378440107148
0.61124.6037701034751.29284228356775
0.62124.8296906612671.29578590353995
0.63125.0579035639581.30288512465554
0.64125.2891872381361.31403788569467
0.65125.5243528418081.32914509333859
0.66125.7642156930121.34757165725575
0.67126.0095901912561.36890503631953
0.68126.2613105918561.39279578019507
0.69126.5202768707491.41957241842405
0.7126.7875222444651.44975715522048
0.71127.0642962079641.48422920140488
0.72127.3521532244561.5246001836972
0.73127.6530314321531.57262768775512
0.74127.9692977471031.63052602554405
0.75128.3037271499831.7004728894034
0.76128.6593787062151.78426679934283
0.77129.039334867031.88216779514283
0.78129.4462898122221.99220067293202
0.79129.8820099493042.10901138797108
0.8130.3467415107812.22360976277437
0.81130.8386940310822.32366090203018
0.82131.3537642667082.3954446444002
0.83131.8856610031522.42663820726418
0.84132.4265332379362.40879114830984
0.85132.9680962055982.34049050024726
0.86133.5031167979532.22839997412195
0.87134.0270005498942.0876038273704
0.88134.5391475791311.93900542078326
0.89135.0437156013931.80635888273768
0.9135.5494120999911.71097376830711
0.91136.0679097188421.66676458425903
0.92136.610503354031.67355055053326
0.93137.182923223371.70993668525688
0.94137.7790830479741.72929030494636
0.95138.3760277531941.66695105786586
0.96138.9337751787051.4647081941849
0.97139.4035516540051.10928666818192
0.98139.7444848618180.663341474955878
0.99139.9424972204960.257154280471321

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 103.404751649667 & 4.17740214754063 \tabularnewline
0.02 & 105.071468819986 & 3.61599976284838 \tabularnewline
0.03 & 106.824097511856 & 3.19168323519558 \tabularnewline
0.04 & 108.405666502353 & 2.92678183426669 \tabularnewline
0.05 & 109.746938035624 & 2.72538950561491 \tabularnewline
0.06 & 110.864074767452 & 2.50275781131511 \tabularnewline
0.07 & 111.789980974919 & 2.22942367742452 \tabularnewline
0.08 & 112.552431476801 & 1.92183608902658 \tabularnewline
0.09 & 113.174792143268 & 1.6193362276904 \tabularnewline
0.1 & 113.680331702787 & 1.36148628921436 \tabularnewline
0.11 & 114.0933846571 & 1.17279680260323 \tabularnewline
0.12 & 114.437603426979 & 1.05550913686542 \tabularnewline
0.13 & 114.733416173106 & 0.992376727758026 \tabularnewline
0.14 & 114.996295796954 & 0.95883494997515 \tabularnewline
0.15 & 115.236404704551 & 0.933884354443178 \tabularnewline
0.16 & 115.459405538378 & 0.905072015252337 \tabularnewline
0.17 & 115.667893012608 & 0.868332787460885 \tabularnewline
0.18 & 115.862906573497 & 0.825197806848814 \tabularnewline
0.19 & 116.045158869611 & 0.781166375605377 \tabularnewline
0.2 & 116.215821958014 & 0.742872618453856 \tabularnewline
0.21 & 116.376874047557 & 0.716957054669834 \tabularnewline
0.22 & 116.531100632616 & 0.708620233015294 \tabularnewline
0.23 & 116.68187398232 & 0.720644199312834 \tabularnewline
0.24 & 116.832825570852 & 0.753376748452647 \tabularnewline
0.25 & 116.987498343463 & 0.804893753178962 \tabularnewline
0.26 & 117.149034925318 & 0.87130137006062 \tabularnewline
0.27 & 117.319932289663 & 0.948019325556117 \tabularnewline
0.28 & 117.501875741458 & 1.02998934610088 \tabularnewline
0.29 & 117.695654573634 & 1.11175660049035 \tabularnewline
0.3 & 117.901156055943 & 1.18861458169274 \tabularnewline
0.31 & 118.117431000911 & 1.25588799319915 \tabularnewline
0.32 & 118.342821203958 & 1.31020712251862 \tabularnewline
0.33 & 118.575135809671 & 1.34904852372134 \tabularnewline
0.34 & 118.811860310444 & 1.37134289909754 \tabularnewline
0.35 & 119.050379228447 & 1.37703154053777 \tabularnewline
0.36 & 119.288192473866 & 1.36787788765201 \tabularnewline
0.37 & 119.523106510506 & 1.3460825709318 \tabularnewline
0.38 & 119.753384843116 & 1.31500744598181 \tabularnewline
0.39 & 119.977847454351 & 1.27869465103303 \tabularnewline
0.4 & 120.195914767693 & 1.24055462178863 \tabularnewline
0.41 & 120.407597506778 & 1.20448323177637 \tabularnewline
0.42 & 120.613438655015 & 1.17361619686708 \tabularnewline
0.43 & 120.814417143493 & 1.15054682691884 \tabularnewline
0.44 & 121.011824848844 & 1.1366908206696 \tabularnewline
0.45 & 121.207129194935 & 1.13279380785841 \tabularnewline
0.46 & 121.401833472711 & 1.13849006645277 \tabularnewline
0.47 & 121.597346224758 & 1.15258952624667 \tabularnewline
0.48 & 121.794869838133 & 1.17312495757815 \tabularnewline
0.49 & 121.995316838461 & 1.19785106538885 \tabularnewline
0.5 & 122.199260171747 & 1.2240389611456 \tabularnewline
0.51 & 122.406920908502 & 1.24931455428593 \tabularnewline
0.52 & 122.618193350659 & 1.27149942460718 \tabularnewline
0.53 & 122.832703710285 & 1.28907138205444 \tabularnewline
0.54 & 123.049894804628 & 1.30123291260448 \tabularnewline
0.55 & 123.269126145881 & 1.3076750385949 \tabularnewline
0.56 & 123.489776969409 & 1.30923885534304 \tabularnewline
0.57 & 123.71133957383 & 1.30688657893608 \tabularnewline
0.58 & 123.933492011024 & 1.30241471460929 \tabularnewline
0.59 & 124.15614250253 & 1.2974607000802 \tabularnewline
0.6 & 124.379442479643 & 1.29378440107148 \tabularnewline
0.61 & 124.603770103475 & 1.29284228356775 \tabularnewline
0.62 & 124.829690661267 & 1.29578590353995 \tabularnewline
0.63 & 125.057903563958 & 1.30288512465554 \tabularnewline
0.64 & 125.289187238136 & 1.31403788569467 \tabularnewline
0.65 & 125.524352841808 & 1.32914509333859 \tabularnewline
0.66 & 125.764215693012 & 1.34757165725575 \tabularnewline
0.67 & 126.009590191256 & 1.36890503631953 \tabularnewline
0.68 & 126.261310591856 & 1.39279578019507 \tabularnewline
0.69 & 126.520276870749 & 1.41957241842405 \tabularnewline
0.7 & 126.787522244465 & 1.44975715522048 \tabularnewline
0.71 & 127.064296207964 & 1.48422920140488 \tabularnewline
0.72 & 127.352153224456 & 1.5246001836972 \tabularnewline
0.73 & 127.653031432153 & 1.57262768775512 \tabularnewline
0.74 & 127.969297747103 & 1.63052602554405 \tabularnewline
0.75 & 128.303727149983 & 1.7004728894034 \tabularnewline
0.76 & 128.659378706215 & 1.78426679934283 \tabularnewline
0.77 & 129.03933486703 & 1.88216779514283 \tabularnewline
0.78 & 129.446289812222 & 1.99220067293202 \tabularnewline
0.79 & 129.882009949304 & 2.10901138797108 \tabularnewline
0.8 & 130.346741510781 & 2.22360976277437 \tabularnewline
0.81 & 130.838694031082 & 2.32366090203018 \tabularnewline
0.82 & 131.353764266708 & 2.3954446444002 \tabularnewline
0.83 & 131.885661003152 & 2.42663820726418 \tabularnewline
0.84 & 132.426533237936 & 2.40879114830984 \tabularnewline
0.85 & 132.968096205598 & 2.34049050024726 \tabularnewline
0.86 & 133.503116797953 & 2.22839997412195 \tabularnewline
0.87 & 134.027000549894 & 2.0876038273704 \tabularnewline
0.88 & 134.539147579131 & 1.93900542078326 \tabularnewline
0.89 & 135.043715601393 & 1.80635888273768 \tabularnewline
0.9 & 135.549412099991 & 1.71097376830711 \tabularnewline
0.91 & 136.067909718842 & 1.66676458425903 \tabularnewline
0.92 & 136.61050335403 & 1.67355055053326 \tabularnewline
0.93 & 137.18292322337 & 1.70993668525688 \tabularnewline
0.94 & 137.779083047974 & 1.72929030494636 \tabularnewline
0.95 & 138.376027753194 & 1.66695105786586 \tabularnewline
0.96 & 138.933775178705 & 1.4647081941849 \tabularnewline
0.97 & 139.403551654005 & 1.10928666818192 \tabularnewline
0.98 & 139.744484861818 & 0.663341474955878 \tabularnewline
0.99 & 139.942497220496 & 0.257154280471321 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233555&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]103.404751649667[/C][C]4.17740214754063[/C][/ROW]
[ROW][C]0.02[/C][C]105.071468819986[/C][C]3.61599976284838[/C][/ROW]
[ROW][C]0.03[/C][C]106.824097511856[/C][C]3.19168323519558[/C][/ROW]
[ROW][C]0.04[/C][C]108.405666502353[/C][C]2.92678183426669[/C][/ROW]
[ROW][C]0.05[/C][C]109.746938035624[/C][C]2.72538950561491[/C][/ROW]
[ROW][C]0.06[/C][C]110.864074767452[/C][C]2.50275781131511[/C][/ROW]
[ROW][C]0.07[/C][C]111.789980974919[/C][C]2.22942367742452[/C][/ROW]
[ROW][C]0.08[/C][C]112.552431476801[/C][C]1.92183608902658[/C][/ROW]
[ROW][C]0.09[/C][C]113.174792143268[/C][C]1.6193362276904[/C][/ROW]
[ROW][C]0.1[/C][C]113.680331702787[/C][C]1.36148628921436[/C][/ROW]
[ROW][C]0.11[/C][C]114.0933846571[/C][C]1.17279680260323[/C][/ROW]
[ROW][C]0.12[/C][C]114.437603426979[/C][C]1.05550913686542[/C][/ROW]
[ROW][C]0.13[/C][C]114.733416173106[/C][C]0.992376727758026[/C][/ROW]
[ROW][C]0.14[/C][C]114.996295796954[/C][C]0.95883494997515[/C][/ROW]
[ROW][C]0.15[/C][C]115.236404704551[/C][C]0.933884354443178[/C][/ROW]
[ROW][C]0.16[/C][C]115.459405538378[/C][C]0.905072015252337[/C][/ROW]
[ROW][C]0.17[/C][C]115.667893012608[/C][C]0.868332787460885[/C][/ROW]
[ROW][C]0.18[/C][C]115.862906573497[/C][C]0.825197806848814[/C][/ROW]
[ROW][C]0.19[/C][C]116.045158869611[/C][C]0.781166375605377[/C][/ROW]
[ROW][C]0.2[/C][C]116.215821958014[/C][C]0.742872618453856[/C][/ROW]
[ROW][C]0.21[/C][C]116.376874047557[/C][C]0.716957054669834[/C][/ROW]
[ROW][C]0.22[/C][C]116.531100632616[/C][C]0.708620233015294[/C][/ROW]
[ROW][C]0.23[/C][C]116.68187398232[/C][C]0.720644199312834[/C][/ROW]
[ROW][C]0.24[/C][C]116.832825570852[/C][C]0.753376748452647[/C][/ROW]
[ROW][C]0.25[/C][C]116.987498343463[/C][C]0.804893753178962[/C][/ROW]
[ROW][C]0.26[/C][C]117.149034925318[/C][C]0.87130137006062[/C][/ROW]
[ROW][C]0.27[/C][C]117.319932289663[/C][C]0.948019325556117[/C][/ROW]
[ROW][C]0.28[/C][C]117.501875741458[/C][C]1.02998934610088[/C][/ROW]
[ROW][C]0.29[/C][C]117.695654573634[/C][C]1.11175660049035[/C][/ROW]
[ROW][C]0.3[/C][C]117.901156055943[/C][C]1.18861458169274[/C][/ROW]
[ROW][C]0.31[/C][C]118.117431000911[/C][C]1.25588799319915[/C][/ROW]
[ROW][C]0.32[/C][C]118.342821203958[/C][C]1.31020712251862[/C][/ROW]
[ROW][C]0.33[/C][C]118.575135809671[/C][C]1.34904852372134[/C][/ROW]
[ROW][C]0.34[/C][C]118.811860310444[/C][C]1.37134289909754[/C][/ROW]
[ROW][C]0.35[/C][C]119.050379228447[/C][C]1.37703154053777[/C][/ROW]
[ROW][C]0.36[/C][C]119.288192473866[/C][C]1.36787788765201[/C][/ROW]
[ROW][C]0.37[/C][C]119.523106510506[/C][C]1.3460825709318[/C][/ROW]
[ROW][C]0.38[/C][C]119.753384843116[/C][C]1.31500744598181[/C][/ROW]
[ROW][C]0.39[/C][C]119.977847454351[/C][C]1.27869465103303[/C][/ROW]
[ROW][C]0.4[/C][C]120.195914767693[/C][C]1.24055462178863[/C][/ROW]
[ROW][C]0.41[/C][C]120.407597506778[/C][C]1.20448323177637[/C][/ROW]
[ROW][C]0.42[/C][C]120.613438655015[/C][C]1.17361619686708[/C][/ROW]
[ROW][C]0.43[/C][C]120.814417143493[/C][C]1.15054682691884[/C][/ROW]
[ROW][C]0.44[/C][C]121.011824848844[/C][C]1.1366908206696[/C][/ROW]
[ROW][C]0.45[/C][C]121.207129194935[/C][C]1.13279380785841[/C][/ROW]
[ROW][C]0.46[/C][C]121.401833472711[/C][C]1.13849006645277[/C][/ROW]
[ROW][C]0.47[/C][C]121.597346224758[/C][C]1.15258952624667[/C][/ROW]
[ROW][C]0.48[/C][C]121.794869838133[/C][C]1.17312495757815[/C][/ROW]
[ROW][C]0.49[/C][C]121.995316838461[/C][C]1.19785106538885[/C][/ROW]
[ROW][C]0.5[/C][C]122.199260171747[/C][C]1.2240389611456[/C][/ROW]
[ROW][C]0.51[/C][C]122.406920908502[/C][C]1.24931455428593[/C][/ROW]
[ROW][C]0.52[/C][C]122.618193350659[/C][C]1.27149942460718[/C][/ROW]
[ROW][C]0.53[/C][C]122.832703710285[/C][C]1.28907138205444[/C][/ROW]
[ROW][C]0.54[/C][C]123.049894804628[/C][C]1.30123291260448[/C][/ROW]
[ROW][C]0.55[/C][C]123.269126145881[/C][C]1.3076750385949[/C][/ROW]
[ROW][C]0.56[/C][C]123.489776969409[/C][C]1.30923885534304[/C][/ROW]
[ROW][C]0.57[/C][C]123.71133957383[/C][C]1.30688657893608[/C][/ROW]
[ROW][C]0.58[/C][C]123.933492011024[/C][C]1.30241471460929[/C][/ROW]
[ROW][C]0.59[/C][C]124.15614250253[/C][C]1.2974607000802[/C][/ROW]
[ROW][C]0.6[/C][C]124.379442479643[/C][C]1.29378440107148[/C][/ROW]
[ROW][C]0.61[/C][C]124.603770103475[/C][C]1.29284228356775[/C][/ROW]
[ROW][C]0.62[/C][C]124.829690661267[/C][C]1.29578590353995[/C][/ROW]
[ROW][C]0.63[/C][C]125.057903563958[/C][C]1.30288512465554[/C][/ROW]
[ROW][C]0.64[/C][C]125.289187238136[/C][C]1.31403788569467[/C][/ROW]
[ROW][C]0.65[/C][C]125.524352841808[/C][C]1.32914509333859[/C][/ROW]
[ROW][C]0.66[/C][C]125.764215693012[/C][C]1.34757165725575[/C][/ROW]
[ROW][C]0.67[/C][C]126.009590191256[/C][C]1.36890503631953[/C][/ROW]
[ROW][C]0.68[/C][C]126.261310591856[/C][C]1.39279578019507[/C][/ROW]
[ROW][C]0.69[/C][C]126.520276870749[/C][C]1.41957241842405[/C][/ROW]
[ROW][C]0.7[/C][C]126.787522244465[/C][C]1.44975715522048[/C][/ROW]
[ROW][C]0.71[/C][C]127.064296207964[/C][C]1.48422920140488[/C][/ROW]
[ROW][C]0.72[/C][C]127.352153224456[/C][C]1.5246001836972[/C][/ROW]
[ROW][C]0.73[/C][C]127.653031432153[/C][C]1.57262768775512[/C][/ROW]
[ROW][C]0.74[/C][C]127.969297747103[/C][C]1.63052602554405[/C][/ROW]
[ROW][C]0.75[/C][C]128.303727149983[/C][C]1.7004728894034[/C][/ROW]
[ROW][C]0.76[/C][C]128.659378706215[/C][C]1.78426679934283[/C][/ROW]
[ROW][C]0.77[/C][C]129.03933486703[/C][C]1.88216779514283[/C][/ROW]
[ROW][C]0.78[/C][C]129.446289812222[/C][C]1.99220067293202[/C][/ROW]
[ROW][C]0.79[/C][C]129.882009949304[/C][C]2.10901138797108[/C][/ROW]
[ROW][C]0.8[/C][C]130.346741510781[/C][C]2.22360976277437[/C][/ROW]
[ROW][C]0.81[/C][C]130.838694031082[/C][C]2.32366090203018[/C][/ROW]
[ROW][C]0.82[/C][C]131.353764266708[/C][C]2.3954446444002[/C][/ROW]
[ROW][C]0.83[/C][C]131.885661003152[/C][C]2.42663820726418[/C][/ROW]
[ROW][C]0.84[/C][C]132.426533237936[/C][C]2.40879114830984[/C][/ROW]
[ROW][C]0.85[/C][C]132.968096205598[/C][C]2.34049050024726[/C][/ROW]
[ROW][C]0.86[/C][C]133.503116797953[/C][C]2.22839997412195[/C][/ROW]
[ROW][C]0.87[/C][C]134.027000549894[/C][C]2.0876038273704[/C][/ROW]
[ROW][C]0.88[/C][C]134.539147579131[/C][C]1.93900542078326[/C][/ROW]
[ROW][C]0.89[/C][C]135.043715601393[/C][C]1.80635888273768[/C][/ROW]
[ROW][C]0.9[/C][C]135.549412099991[/C][C]1.71097376830711[/C][/ROW]
[ROW][C]0.91[/C][C]136.067909718842[/C][C]1.66676458425903[/C][/ROW]
[ROW][C]0.92[/C][C]136.61050335403[/C][C]1.67355055053326[/C][/ROW]
[ROW][C]0.93[/C][C]137.18292322337[/C][C]1.70993668525688[/C][/ROW]
[ROW][C]0.94[/C][C]137.779083047974[/C][C]1.72929030494636[/C][/ROW]
[ROW][C]0.95[/C][C]138.376027753194[/C][C]1.66695105786586[/C][/ROW]
[ROW][C]0.96[/C][C]138.933775178705[/C][C]1.4647081941849[/C][/ROW]
[ROW][C]0.97[/C][C]139.403551654005[/C][C]1.10928666818192[/C][/ROW]
[ROW][C]0.98[/C][C]139.744484861818[/C][C]0.663341474955878[/C][/ROW]
[ROW][C]0.99[/C][C]139.942497220496[/C][C]0.257154280471321[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233555&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233555&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
0.01103.4047516496674.17740214754063
0.02105.0714688199863.61599976284838
0.03106.8240975118563.19168323519558
0.04108.4056665023532.92678183426669
0.05109.7469380356242.72538950561491
0.06110.8640747674522.50275781131511
0.07111.7899809749192.22942367742452
0.08112.5524314768011.92183608902658
0.09113.1747921432681.6193362276904
0.1113.6803317027871.36148628921436
0.11114.09338465711.17279680260323
0.12114.4376034269791.05550913686542
0.13114.7334161731060.992376727758026
0.14114.9962957969540.95883494997515
0.15115.2364047045510.933884354443178
0.16115.4594055383780.905072015252337
0.17115.6678930126080.868332787460885
0.18115.8629065734970.825197806848814
0.19116.0451588696110.781166375605377
0.2116.2158219580140.742872618453856
0.21116.3768740475570.716957054669834
0.22116.5311006326160.708620233015294
0.23116.681873982320.720644199312834
0.24116.8328255708520.753376748452647
0.25116.9874983434630.804893753178962
0.26117.1490349253180.87130137006062
0.27117.3199322896630.948019325556117
0.28117.5018757414581.02998934610088
0.29117.6956545736341.11175660049035
0.3117.9011560559431.18861458169274
0.31118.1174310009111.25588799319915
0.32118.3428212039581.31020712251862
0.33118.5751358096711.34904852372134
0.34118.8118603104441.37134289909754
0.35119.0503792284471.37703154053777
0.36119.2881924738661.36787788765201
0.37119.5231065105061.3460825709318
0.38119.7533848431161.31500744598181
0.39119.9778474543511.27869465103303
0.4120.1959147676931.24055462178863
0.41120.4075975067781.20448323177637
0.42120.6134386550151.17361619686708
0.43120.8144171434931.15054682691884
0.44121.0118248488441.1366908206696
0.45121.2071291949351.13279380785841
0.46121.4018334727111.13849006645277
0.47121.5973462247581.15258952624667
0.48121.7948698381331.17312495757815
0.49121.9953168384611.19785106538885
0.5122.1992601717471.2240389611456
0.51122.4069209085021.24931455428593
0.52122.6181933506591.27149942460718
0.53122.8327037102851.28907138205444
0.54123.0498948046281.30123291260448
0.55123.2691261458811.3076750385949
0.56123.4897769694091.30923885534304
0.57123.711339573831.30688657893608
0.58123.9334920110241.30241471460929
0.59124.156142502531.2974607000802
0.6124.3794424796431.29378440107148
0.61124.6037701034751.29284228356775
0.62124.8296906612671.29578590353995
0.63125.0579035639581.30288512465554
0.64125.2891872381361.31403788569467
0.65125.5243528418081.32914509333859
0.66125.7642156930121.34757165725575
0.67126.0095901912561.36890503631953
0.68126.2613105918561.39279578019507
0.69126.5202768707491.41957241842405
0.7126.7875222444651.44975715522048
0.71127.0642962079641.48422920140488
0.72127.3521532244561.5246001836972
0.73127.6530314321531.57262768775512
0.74127.9692977471031.63052602554405
0.75128.3037271499831.7004728894034
0.76128.6593787062151.78426679934283
0.77129.039334867031.88216779514283
0.78129.4462898122221.99220067293202
0.79129.8820099493042.10901138797108
0.8130.3467415107812.22360976277437
0.81130.8386940310822.32366090203018
0.82131.3537642667082.3954446444002
0.83131.8856610031522.42663820726418
0.84132.4265332379362.40879114830984
0.85132.9680962055982.34049050024726
0.86133.5031167979532.22839997412195
0.87134.0270005498942.0876038273704
0.88134.5391475791311.93900542078326
0.89135.0437156013931.80635888273768
0.9135.5494120999911.71097376830711
0.91136.0679097188421.66676458425903
0.92136.610503354031.67355055053326
0.93137.182923223371.70993668525688
0.94137.7790830479741.72929030494636
0.95138.3760277531941.66695105786586
0.96138.9337751787051.4647081941849
0.97139.4035516540051.10928666818192
0.98139.7444848618180.663341474955878
0.99139.9424972204960.257154280471321


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')