FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 08 Oct 2015 17:43:17 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/08/t1444322709vdt73m55jrh3xis.htm/, Retrieved Wed, 15 May 2024 07:54:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281548, Retrieved Wed, 15 May 2024 07:54:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact58

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] [] [2015-10-08 16:43:17] [a231c0efc426ce58c731cc3abc4c2d25] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
85.74
86.62
86.66
87.39
87.59
88.8
88.64
89.55
89.04
88.49
89.5
89.46
90.33
90.27
91.5
92.53
93.14
93.01
92.84
92.88
93.05
93.17
93.67
94.9
95.72
96.08
97.52
98.26
98.48
98.09
98.03
98.14
98.71
98.69
98.72
98.47
99.49
99.84
100.9
101.31
100.09
99.28
99.57
101.04
101.87
101.39
100.3
99.95
99.87
100.51
100.27
100.04
99.23
99.32
99.95
100.23
101.02
99.83
99.61
100.12
99.83
100.03
100.07
100.46
100.43
100.68
101.8
101.21
100.63
100.55
99.76
98.8

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281548&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281548&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281548&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0185.98518828291820.709534087897787
0.0286.33501099060540.573776139273138
0.0386.68680710611130.572584246301648
0.0487.01491488406190.651167634863054
0.0587.32796614837920.724463148850373
0.0687.63203328531790.760794784177533
0.0787.92435495921210.761119191804841
0.0888.19956825631360.739367918894428
0.0988.45502978582020.71324027452296
0.188.69244468313830.699488611996607
0.1188.91715101408110.710084887366402
0.1289.13655694749060.750637886225944
0.1389.35853399011330.820225915234102
0.1489.59007497949740.913222916458135
0.1589.83629760790711.020089838934
0.1690.09980933065971.12909552835235
0.1790.380457630371.22752175973848
0.1890.67549914019751.30453800648478
0.1990.98018923188871.35249806657887
0.291.28871896316461.36910700650077
0.2191.59534029758091.35762398654793
0.2291.89546330811451.32677862876345
0.2392.18650658499721.2894235365789
0.2492.46833637369731.25987243816262
0.2592.74322273712521.25175301419811
0.2693.01534415381531.27418090767027
0.2793.2899587614231.33002532963385
0.2893.57241326487221.41512691175102
0.2993.86717329255661.51949506688937
0.394.17703580302421.63062800236003
0.3194.50263564248151.73486410670752
0.3294.84229767011461.81954961894411
0.3395.19222545607371.87479712887749
0.3495.54696720403421.89369806372976
0.3595.90006551322211.8732452091052
0.3696.24478250544011.8147576257541
0.3796.57479507606381.72235909258891
0.3896.88477334534431.60311390729935
0.3997.17078376666621.4656203022876
0.497.43049095042031.31917787082386
0.4197.66316342488881.17242625544618
0.4297.86951369767291.03270494588461
0.4398.05141924265250.906172175315954
0.4498.21157754151180.796381806169596
0.4598.35314600645690.705385388291988
0.4698.47940877355260.633136586039182
0.4798.59349987333660.578062416919666
0.4898.69819896063220.537689542247962
0.4998.79580380738550.50849557062548
0.598.88807444804570.487092295731109
0.5198.97623767992050.470496292677366
0.5299.06103738141420.455861779645495
0.5399.14281527972040.441368895792037
0.5499.22160772489080.425445137257451
0.5599.29724609848020.407752780134655
0.5699.36945118830990.387702606184893
0.5799.43791477750990.365527381581793
0.5899.50236448896430.341913323957065
0.5999.56261034439010.317291263855355
0.699.61857339442380.292497158965141
0.6199.67029812421280.268236272736919
0.6299.71795121124340.245060005124258
0.6399.76180973064780.223783870212931
0.6499.80224216998220.204678809049341
0.6599.8396856595170.188204776633034
0.6699.87462259558630.174473977582175
0.6799.90755925373270.163427570556629
0.6899.93900802910990.15529646166233
0.6999.96947370718390.149683314963472
0.799.99944291547220.146471756762308
0.71100.0293749977530.145554816892733
0.72100.0596923353970.146537466560774
0.73100.0907688164760.149240859980203
0.74100.1229166662870.153214471105974
0.75100.1563738583420.158005684559036
0.76100.1912962413820.163182430774519
0.77100.2277596443040.168043645921047
0.78100.2657768817920.172376085552066
0.79100.3053322840970.175924475881397
0.8100.3464319747570.178750540706219
0.81100.3891620555230.181191047102372
0.82100.4337403978390.18410358184
0.83100.4805431555480.188162413699048
0.84100.5300874596030.194042757083496
0.85100.5829599106680.202106223832721
0.86100.6396973253450.211734009021897
0.87100.7006485488790.221730909605824
0.88100.7658662782760.230248319256051
0.89100.8350864953240.2355388435752
0.9100.907846088640.236494607720138
0.91100.9837712637590.233280302302411
0.92101.0630425029340.227421126817655
0.93101.1469721922630.221974955144404
0.94101.2384260534330.221764976435099
0.95101.3414161478530.231875698407886
0.96101.4588451060770.251023390255388
0.97101.5879331683370.26108991954879
0.98101.7152614149110.230136221374636
0.99101.8169093719340.146552432714719

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 85.9851882829182 & 0.709534087897787 \tabularnewline
0.02 & 86.3350109906054 & 0.573776139273138 \tabularnewline
0.03 & 86.6868071061113 & 0.572584246301648 \tabularnewline
0.04 & 87.0149148840619 & 0.651167634863054 \tabularnewline
0.05 & 87.3279661483792 & 0.724463148850373 \tabularnewline
0.06 & 87.6320332853179 & 0.760794784177533 \tabularnewline
0.07 & 87.9243549592121 & 0.761119191804841 \tabularnewline
0.08 & 88.1995682563136 & 0.739367918894428 \tabularnewline
0.09 & 88.4550297858202 & 0.71324027452296 \tabularnewline
0.1 & 88.6924446831383 & 0.699488611996607 \tabularnewline
0.11 & 88.9171510140811 & 0.710084887366402 \tabularnewline
0.12 & 89.1365569474906 & 0.750637886225944 \tabularnewline
0.13 & 89.3585339901133 & 0.820225915234102 \tabularnewline
0.14 & 89.5900749794974 & 0.913222916458135 \tabularnewline
0.15 & 89.8362976079071 & 1.020089838934 \tabularnewline
0.16 & 90.0998093306597 & 1.12909552835235 \tabularnewline
0.17 & 90.38045763037 & 1.22752175973848 \tabularnewline
0.18 & 90.6754991401975 & 1.30453800648478 \tabularnewline
0.19 & 90.9801892318887 & 1.35249806657887 \tabularnewline
0.2 & 91.2887189631646 & 1.36910700650077 \tabularnewline
0.21 & 91.5953402975809 & 1.35762398654793 \tabularnewline
0.22 & 91.8954633081145 & 1.32677862876345 \tabularnewline
0.23 & 92.1865065849972 & 1.2894235365789 \tabularnewline
0.24 & 92.4683363736973 & 1.25987243816262 \tabularnewline
0.25 & 92.7432227371252 & 1.25175301419811 \tabularnewline
0.26 & 93.0153441538153 & 1.27418090767027 \tabularnewline
0.27 & 93.289958761423 & 1.33002532963385 \tabularnewline
0.28 & 93.5724132648722 & 1.41512691175102 \tabularnewline
0.29 & 93.8671732925566 & 1.51949506688937 \tabularnewline
0.3 & 94.1770358030242 & 1.63062800236003 \tabularnewline
0.31 & 94.5026356424815 & 1.73486410670752 \tabularnewline
0.32 & 94.8422976701146 & 1.81954961894411 \tabularnewline
0.33 & 95.1922254560737 & 1.87479712887749 \tabularnewline
0.34 & 95.5469672040342 & 1.89369806372976 \tabularnewline
0.35 & 95.9000655132221 & 1.8732452091052 \tabularnewline
0.36 & 96.2447825054401 & 1.8147576257541 \tabularnewline
0.37 & 96.5747950760638 & 1.72235909258891 \tabularnewline
0.38 & 96.8847733453443 & 1.60311390729935 \tabularnewline
0.39 & 97.1707837666662 & 1.4656203022876 \tabularnewline
0.4 & 97.4304909504203 & 1.31917787082386 \tabularnewline
0.41 & 97.6631634248888 & 1.17242625544618 \tabularnewline
0.42 & 97.8695136976729 & 1.03270494588461 \tabularnewline
0.43 & 98.0514192426525 & 0.906172175315954 \tabularnewline
0.44 & 98.2115775415118 & 0.796381806169596 \tabularnewline
0.45 & 98.3531460064569 & 0.705385388291988 \tabularnewline
0.46 & 98.4794087735526 & 0.633136586039182 \tabularnewline
0.47 & 98.5934998733366 & 0.578062416919666 \tabularnewline
0.48 & 98.6981989606322 & 0.537689542247962 \tabularnewline
0.49 & 98.7958038073855 & 0.50849557062548 \tabularnewline
0.5 & 98.8880744480457 & 0.487092295731109 \tabularnewline
0.51 & 98.9762376799205 & 0.470496292677366 \tabularnewline
0.52 & 99.0610373814142 & 0.455861779645495 \tabularnewline
0.53 & 99.1428152797204 & 0.441368895792037 \tabularnewline
0.54 & 99.2216077248908 & 0.425445137257451 \tabularnewline
0.55 & 99.2972460984802 & 0.407752780134655 \tabularnewline
0.56 & 99.3694511883099 & 0.387702606184893 \tabularnewline
0.57 & 99.4379147775099 & 0.365527381581793 \tabularnewline
0.58 & 99.5023644889643 & 0.341913323957065 \tabularnewline
0.59 & 99.5626103443901 & 0.317291263855355 \tabularnewline
0.6 & 99.6185733944238 & 0.292497158965141 \tabularnewline
0.61 & 99.6702981242128 & 0.268236272736919 \tabularnewline
0.62 & 99.7179512112434 & 0.245060005124258 \tabularnewline
0.63 & 99.7618097306478 & 0.223783870212931 \tabularnewline
0.64 & 99.8022421699822 & 0.204678809049341 \tabularnewline
0.65 & 99.839685659517 & 0.188204776633034 \tabularnewline
0.66 & 99.8746225955863 & 0.174473977582175 \tabularnewline
0.67 & 99.9075592537327 & 0.163427570556629 \tabularnewline
0.68 & 99.9390080291099 & 0.15529646166233 \tabularnewline
0.69 & 99.9694737071839 & 0.149683314963472 \tabularnewline
0.7 & 99.9994429154722 & 0.146471756762308 \tabularnewline
0.71 & 100.029374997753 & 0.145554816892733 \tabularnewline
0.72 & 100.059692335397 & 0.146537466560774 \tabularnewline
0.73 & 100.090768816476 & 0.149240859980203 \tabularnewline
0.74 & 100.122916666287 & 0.153214471105974 \tabularnewline
0.75 & 100.156373858342 & 0.158005684559036 \tabularnewline
0.76 & 100.191296241382 & 0.163182430774519 \tabularnewline
0.77 & 100.227759644304 & 0.168043645921047 \tabularnewline
0.78 & 100.265776881792 & 0.172376085552066 \tabularnewline
0.79 & 100.305332284097 & 0.175924475881397 \tabularnewline
0.8 & 100.346431974757 & 0.178750540706219 \tabularnewline
0.81 & 100.389162055523 & 0.181191047102372 \tabularnewline
0.82 & 100.433740397839 & 0.18410358184 \tabularnewline
0.83 & 100.480543155548 & 0.188162413699048 \tabularnewline
0.84 & 100.530087459603 & 0.194042757083496 \tabularnewline
0.85 & 100.582959910668 & 0.202106223832721 \tabularnewline
0.86 & 100.639697325345 & 0.211734009021897 \tabularnewline
0.87 & 100.700648548879 & 0.221730909605824 \tabularnewline
0.88 & 100.765866278276 & 0.230248319256051 \tabularnewline
0.89 & 100.835086495324 & 0.2355388435752 \tabularnewline
0.9 & 100.90784608864 & 0.236494607720138 \tabularnewline
0.91 & 100.983771263759 & 0.233280302302411 \tabularnewline
0.92 & 101.063042502934 & 0.227421126817655 \tabularnewline
0.93 & 101.146972192263 & 0.221974955144404 \tabularnewline
0.94 & 101.238426053433 & 0.221764976435099 \tabularnewline
0.95 & 101.341416147853 & 0.231875698407886 \tabularnewline
0.96 & 101.458845106077 & 0.251023390255388 \tabularnewline
0.97 & 101.587933168337 & 0.26108991954879 \tabularnewline
0.98 & 101.715261414911 & 0.230136221374636 \tabularnewline
0.99 & 101.816909371934 & 0.146552432714719 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281548&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]85.9851882829182[/C][C]0.709534087897787[/C][/ROW]
[ROW][C]0.02[/C][C]86.3350109906054[/C][C]0.573776139273138[/C][/ROW]
[ROW][C]0.03[/C][C]86.6868071061113[/C][C]0.572584246301648[/C][/ROW]
[ROW][C]0.04[/C][C]87.0149148840619[/C][C]0.651167634863054[/C][/ROW]
[ROW][C]0.05[/C][C]87.3279661483792[/C][C]0.724463148850373[/C][/ROW]
[ROW][C]0.06[/C][C]87.6320332853179[/C][C]0.760794784177533[/C][/ROW]
[ROW][C]0.07[/C][C]87.9243549592121[/C][C]0.761119191804841[/C][/ROW]
[ROW][C]0.08[/C][C]88.1995682563136[/C][C]0.739367918894428[/C][/ROW]
[ROW][C]0.09[/C][C]88.4550297858202[/C][C]0.71324027452296[/C][/ROW]
[ROW][C]0.1[/C][C]88.6924446831383[/C][C]0.699488611996607[/C][/ROW]
[ROW][C]0.11[/C][C]88.9171510140811[/C][C]0.710084887366402[/C][/ROW]
[ROW][C]0.12[/C][C]89.1365569474906[/C][C]0.750637886225944[/C][/ROW]
[ROW][C]0.13[/C][C]89.3585339901133[/C][C]0.820225915234102[/C][/ROW]
[ROW][C]0.14[/C][C]89.5900749794974[/C][C]0.913222916458135[/C][/ROW]
[ROW][C]0.15[/C][C]89.8362976079071[/C][C]1.020089838934[/C][/ROW]
[ROW][C]0.16[/C][C]90.0998093306597[/C][C]1.12909552835235[/C][/ROW]
[ROW][C]0.17[/C][C]90.38045763037[/C][C]1.22752175973848[/C][/ROW]
[ROW][C]0.18[/C][C]90.6754991401975[/C][C]1.30453800648478[/C][/ROW]
[ROW][C]0.19[/C][C]90.9801892318887[/C][C]1.35249806657887[/C][/ROW]
[ROW][C]0.2[/C][C]91.2887189631646[/C][C]1.36910700650077[/C][/ROW]
[ROW][C]0.21[/C][C]91.5953402975809[/C][C]1.35762398654793[/C][/ROW]
[ROW][C]0.22[/C][C]91.8954633081145[/C][C]1.32677862876345[/C][/ROW]
[ROW][C]0.23[/C][C]92.1865065849972[/C][C]1.2894235365789[/C][/ROW]
[ROW][C]0.24[/C][C]92.4683363736973[/C][C]1.25987243816262[/C][/ROW]
[ROW][C]0.25[/C][C]92.7432227371252[/C][C]1.25175301419811[/C][/ROW]
[ROW][C]0.26[/C][C]93.0153441538153[/C][C]1.27418090767027[/C][/ROW]
[ROW][C]0.27[/C][C]93.289958761423[/C][C]1.33002532963385[/C][/ROW]
[ROW][C]0.28[/C][C]93.5724132648722[/C][C]1.41512691175102[/C][/ROW]
[ROW][C]0.29[/C][C]93.8671732925566[/C][C]1.51949506688937[/C][/ROW]
[ROW][C]0.3[/C][C]94.1770358030242[/C][C]1.63062800236003[/C][/ROW]
[ROW][C]0.31[/C][C]94.5026356424815[/C][C]1.73486410670752[/C][/ROW]
[ROW][C]0.32[/C][C]94.8422976701146[/C][C]1.81954961894411[/C][/ROW]
[ROW][C]0.33[/C][C]95.1922254560737[/C][C]1.87479712887749[/C][/ROW]
[ROW][C]0.34[/C][C]95.5469672040342[/C][C]1.89369806372976[/C][/ROW]
[ROW][C]0.35[/C][C]95.9000655132221[/C][C]1.8732452091052[/C][/ROW]
[ROW][C]0.36[/C][C]96.2447825054401[/C][C]1.8147576257541[/C][/ROW]
[ROW][C]0.37[/C][C]96.5747950760638[/C][C]1.72235909258891[/C][/ROW]
[ROW][C]0.38[/C][C]96.8847733453443[/C][C]1.60311390729935[/C][/ROW]
[ROW][C]0.39[/C][C]97.1707837666662[/C][C]1.4656203022876[/C][/ROW]
[ROW][C]0.4[/C][C]97.4304909504203[/C][C]1.31917787082386[/C][/ROW]
[ROW][C]0.41[/C][C]97.6631634248888[/C][C]1.17242625544618[/C][/ROW]
[ROW][C]0.42[/C][C]97.8695136976729[/C][C]1.03270494588461[/C][/ROW]
[ROW][C]0.43[/C][C]98.0514192426525[/C][C]0.906172175315954[/C][/ROW]
[ROW][C]0.44[/C][C]98.2115775415118[/C][C]0.796381806169596[/C][/ROW]
[ROW][C]0.45[/C][C]98.3531460064569[/C][C]0.705385388291988[/C][/ROW]
[ROW][C]0.46[/C][C]98.4794087735526[/C][C]0.633136586039182[/C][/ROW]
[ROW][C]0.47[/C][C]98.5934998733366[/C][C]0.578062416919666[/C][/ROW]
[ROW][C]0.48[/C][C]98.6981989606322[/C][C]0.537689542247962[/C][/ROW]
[ROW][C]0.49[/C][C]98.7958038073855[/C][C]0.50849557062548[/C][/ROW]
[ROW][C]0.5[/C][C]98.8880744480457[/C][C]0.487092295731109[/C][/ROW]
[ROW][C]0.51[/C][C]98.9762376799205[/C][C]0.470496292677366[/C][/ROW]
[ROW][C]0.52[/C][C]99.0610373814142[/C][C]0.455861779645495[/C][/ROW]
[ROW][C]0.53[/C][C]99.1428152797204[/C][C]0.441368895792037[/C][/ROW]
[ROW][C]0.54[/C][C]99.2216077248908[/C][C]0.425445137257451[/C][/ROW]
[ROW][C]0.55[/C][C]99.2972460984802[/C][C]0.407752780134655[/C][/ROW]
[ROW][C]0.56[/C][C]99.3694511883099[/C][C]0.387702606184893[/C][/ROW]
[ROW][C]0.57[/C][C]99.4379147775099[/C][C]0.365527381581793[/C][/ROW]
[ROW][C]0.58[/C][C]99.5023644889643[/C][C]0.341913323957065[/C][/ROW]
[ROW][C]0.59[/C][C]99.5626103443901[/C][C]0.317291263855355[/C][/ROW]
[ROW][C]0.6[/C][C]99.6185733944238[/C][C]0.292497158965141[/C][/ROW]
[ROW][C]0.61[/C][C]99.6702981242128[/C][C]0.268236272736919[/C][/ROW]
[ROW][C]0.62[/C][C]99.7179512112434[/C][C]0.245060005124258[/C][/ROW]
[ROW][C]0.63[/C][C]99.7618097306478[/C][C]0.223783870212931[/C][/ROW]
[ROW][C]0.64[/C][C]99.8022421699822[/C][C]0.204678809049341[/C][/ROW]
[ROW][C]0.65[/C][C]99.839685659517[/C][C]0.188204776633034[/C][/ROW]
[ROW][C]0.66[/C][C]99.8746225955863[/C][C]0.174473977582175[/C][/ROW]
[ROW][C]0.67[/C][C]99.9075592537327[/C][C]0.163427570556629[/C][/ROW]
[ROW][C]0.68[/C][C]99.9390080291099[/C][C]0.15529646166233[/C][/ROW]
[ROW][C]0.69[/C][C]99.9694737071839[/C][C]0.149683314963472[/C][/ROW]
[ROW][C]0.7[/C][C]99.9994429154722[/C][C]0.146471756762308[/C][/ROW]
[ROW][C]0.71[/C][C]100.029374997753[/C][C]0.145554816892733[/C][/ROW]
[ROW][C]0.72[/C][C]100.059692335397[/C][C]0.146537466560774[/C][/ROW]
[ROW][C]0.73[/C][C]100.090768816476[/C][C]0.149240859980203[/C][/ROW]
[ROW][C]0.74[/C][C]100.122916666287[/C][C]0.153214471105974[/C][/ROW]
[ROW][C]0.75[/C][C]100.156373858342[/C][C]0.158005684559036[/C][/ROW]
[ROW][C]0.76[/C][C]100.191296241382[/C][C]0.163182430774519[/C][/ROW]
[ROW][C]0.77[/C][C]100.227759644304[/C][C]0.168043645921047[/C][/ROW]
[ROW][C]0.78[/C][C]100.265776881792[/C][C]0.172376085552066[/C][/ROW]
[ROW][C]0.79[/C][C]100.305332284097[/C][C]0.175924475881397[/C][/ROW]
[ROW][C]0.8[/C][C]100.346431974757[/C][C]0.178750540706219[/C][/ROW]
[ROW][C]0.81[/C][C]100.389162055523[/C][C]0.181191047102372[/C][/ROW]
[ROW][C]0.82[/C][C]100.433740397839[/C][C]0.18410358184[/C][/ROW]
[ROW][C]0.83[/C][C]100.480543155548[/C][C]0.188162413699048[/C][/ROW]
[ROW][C]0.84[/C][C]100.530087459603[/C][C]0.194042757083496[/C][/ROW]
[ROW][C]0.85[/C][C]100.582959910668[/C][C]0.202106223832721[/C][/ROW]
[ROW][C]0.86[/C][C]100.639697325345[/C][C]0.211734009021897[/C][/ROW]
[ROW][C]0.87[/C][C]100.700648548879[/C][C]0.221730909605824[/C][/ROW]
[ROW][C]0.88[/C][C]100.765866278276[/C][C]0.230248319256051[/C][/ROW]
[ROW][C]0.89[/C][C]100.835086495324[/C][C]0.2355388435752[/C][/ROW]
[ROW][C]0.9[/C][C]100.90784608864[/C][C]0.236494607720138[/C][/ROW]
[ROW][C]0.91[/C][C]100.983771263759[/C][C]0.233280302302411[/C][/ROW]
[ROW][C]0.92[/C][C]101.063042502934[/C][C]0.227421126817655[/C][/ROW]
[ROW][C]0.93[/C][C]101.146972192263[/C][C]0.221974955144404[/C][/ROW]
[ROW][C]0.94[/C][C]101.238426053433[/C][C]0.221764976435099[/C][/ROW]
[ROW][C]0.95[/C][C]101.341416147853[/C][C]0.231875698407886[/C][/ROW]
[ROW][C]0.96[/C][C]101.458845106077[/C][C]0.251023390255388[/C][/ROW]
[ROW][C]0.97[/C][C]101.587933168337[/C][C]0.26108991954879[/C][/ROW]
[ROW][C]0.98[/C][C]101.715261414911[/C][C]0.230136221374636[/C][/ROW]
[ROW][C]0.99[/C][C]101.816909371934[/C][C]0.146552432714719[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281548&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281548&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
0.0185.98518828291820.709534087897787
0.0286.33501099060540.573776139273138
0.0386.68680710611130.572584246301648
0.0487.01491488406190.651167634863054
0.0587.32796614837920.724463148850373
0.0687.63203328531790.760794784177533
0.0787.92435495921210.761119191804841
0.0888.19956825631360.739367918894428
0.0988.45502978582020.71324027452296
0.188.69244468313830.699488611996607
0.1188.91715101408110.710084887366402
0.1289.13655694749060.750637886225944
0.1389.35853399011330.820225915234102
0.1489.59007497949740.913222916458135
0.1589.83629760790711.020089838934
0.1690.09980933065971.12909552835235
0.1790.380457630371.22752175973848
0.1890.67549914019751.30453800648478
0.1990.98018923188871.35249806657887
0.291.28871896316461.36910700650077
0.2191.59534029758091.35762398654793
0.2291.89546330811451.32677862876345
0.2392.18650658499721.2894235365789
0.2492.46833637369731.25987243816262
0.2592.74322273712521.25175301419811
0.2693.01534415381531.27418090767027
0.2793.2899587614231.33002532963385
0.2893.57241326487221.41512691175102
0.2993.86717329255661.51949506688937
0.394.17703580302421.63062800236003
0.3194.50263564248151.73486410670752
0.3294.84229767011461.81954961894411
0.3395.19222545607371.87479712887749
0.3495.54696720403421.89369806372976
0.3595.90006551322211.8732452091052
0.3696.24478250544011.8147576257541
0.3796.57479507606381.72235909258891
0.3896.88477334534431.60311390729935
0.3997.17078376666621.4656203022876
0.497.43049095042031.31917787082386
0.4197.66316342488881.17242625544618
0.4297.86951369767291.03270494588461
0.4398.05141924265250.906172175315954
0.4498.21157754151180.796381806169596
0.4598.35314600645690.705385388291988
0.4698.47940877355260.633136586039182
0.4798.59349987333660.578062416919666
0.4898.69819896063220.537689542247962
0.4998.79580380738550.50849557062548
0.598.88807444804570.487092295731109
0.5198.97623767992050.470496292677366
0.5299.06103738141420.455861779645495
0.5399.14281527972040.441368895792037
0.5499.22160772489080.425445137257451
0.5599.29724609848020.407752780134655
0.5699.36945118830990.387702606184893
0.5799.43791477750990.365527381581793
0.5899.50236448896430.341913323957065
0.5999.56261034439010.317291263855355
0.699.61857339442380.292497158965141
0.6199.67029812421280.268236272736919
0.6299.71795121124340.245060005124258
0.6399.76180973064780.223783870212931
0.6499.80224216998220.204678809049341
0.6599.8396856595170.188204776633034
0.6699.87462259558630.174473977582175
0.6799.90755925373270.163427570556629
0.6899.93900802910990.15529646166233
0.6999.96947370718390.149683314963472
0.799.99944291547220.146471756762308
0.71100.0293749977530.145554816892733
0.72100.0596923353970.146537466560774
0.73100.0907688164760.149240859980203
0.74100.1229166662870.153214471105974
0.75100.1563738583420.158005684559036
0.76100.1912962413820.163182430774519
0.77100.2277596443040.168043645921047
0.78100.2657768817920.172376085552066
0.79100.3053322840970.175924475881397
0.8100.3464319747570.178750540706219
0.81100.3891620555230.181191047102372
0.82100.4337403978390.18410358184
0.83100.4805431555480.188162413699048
0.84100.5300874596030.194042757083496
0.85100.5829599106680.202106223832721
0.86100.6396973253450.211734009021897
0.87100.7006485488790.221730909605824
0.88100.7658662782760.230248319256051
0.89100.8350864953240.2355388435752
0.9100.907846088640.236494607720138
0.91100.9837712637590.233280302302411
0.92101.0630425029340.227421126817655
0.93101.1469721922630.221974955144404
0.94101.2384260534330.221764976435099
0.95101.3414161478530.231875698407886
0.96101.4588451060770.251023390255388
0.97101.5879331683370.26108991954879
0.98101.7152614149110.230136221374636
0.99101.8169093719340.146552432714719


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
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')