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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 22 May 2013 03:01:11 -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/May/22/t1369206116ttej6jroem8rm4d.htm/, Retrieved Sat, 27 Apr 2024 22:02:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=209329, Retrieved Sat, 27 Apr 2024 22:02:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact152
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [] [2013-05-22 06:56:19] [62a92006f8ec218cd389bb672210f519]
- R PD    [Harrell-Davis Quantiles] [] [2013-05-22 07:01:11] [7a0d698c63197d0e3518addb095c1aaa] [Current]
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Dataseries X:
1.26
1.26
1.28
1.34
1.39
1.47
1.57
1.63
1.72
1.43
1.35
1.41
1.44
1.43
1.43
1.42
1.45
1.51
1.48
1.48
1.45
1.38
1.46
1.45
1.41
1.45
1.47
1.47
1.53
1.56
1.66
1.79
1.78
1.46
1.41
1.43
1.43
1.45
1.35
1.35
1.29
1.29
1.26
1.3
1.3
1.16
1.24
1.15
1.21
1.22
1.17
1.13
1.15
1.2
1.23
1.25
1.38
1.28
1.26
1.25
1.26
1.28
1.31
1.22
1.23
1.36
1.54
1.58
1.44
1.29
1.28
1.23




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=209329&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=209329&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=209329&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.135411108918490.01576672637899
0.021.143036469839120.0123276654844672
0.031.150762458901980.0129198865515837
0.041.158361638362050.016630331845644
0.051.166312887355350.020755208011227
0.061.174809152575240.0236882450660273
0.071.183598710084450.024813483651421
0.081.192220362657710.0242192228304163
0.091.200248991346190.0224214454792121
0.11.207425256909570.0200857180859641
0.111.213677809082070.0177971521504094
0.121.219081921286660.0159477418011314
0.131.223795379533880.0146995116110974
0.141.227998882796850.0140191257736822
0.151.231854134194730.0137553020331348
0.161.235482228502650.0137158316496699
0.171.238958970240260.0137330715048223
0.181.242321537128540.0136942883740856
0.191.245580896351070.0135504980571009
0.21.248735358010990.0133129744805654
0.211.251781979911110.0130332215217465
0.221.25472397493090.0127790954761452
0.231.257573669295660.0126150040698054
0.241.260351733243830.0125797648470224
0.251.263084161953880.0126819252596519
0.261.265798710396690.0129102631419879
0.271.268522206352050.0132360931421024
0.281.27127953966150.0136484895485206
0.291.274094385132030.0141448921738706
0.31.276991088653480.0147504792886726
0.311.279996788600360.0155047653058034
0.321.283142813631030.0164514785380233
0.331.286464652570090.0176264439651201
0.341.290000224113440.0190413005521692
0.351.293786649241730.0206772773523146
0.361.297856124047240.0224844882058572
0.371.30223171831960.0243885169411327
0.381.306923947279680.0262977664544781
0.391.311928790674820.0281176649200059
0.41.317227516419620.0297623844504246
0.411.322788284090020.0311633991652787
0.421.328569146204730.0322820169793802
0.431.334521812712150.0331012459795758
0.441.340595449590410.0336217810943094
0.451.346739859262570.0338709504861338
0.461.352907609186020.0338762874240411
0.471.359054971976040.0336640998169104
0.481.365141836443640.0332526619219407
0.491.371130971205220.0326518488772142
0.51.376987124166630.0318641121041921
0.511.382676411393230.0308877552787227
0.521.388166311492340.0297222837073882
0.531.393426383736130.0283788833475065
0.541.39842962376980.0268776610883807
0.551.403154205751540.0252511963618012
0.561.407585262630270.0235449682025313
0.571.411716336272120.0218099945949162
0.581.415550180418790.0201036832324334
0.591.419098707190570.0184807441530065
0.61.42238201317610.0169903544921706
0.611.425426582930750.0156688016107513
0.621.42826292186820.0145342757559352
0.631.430922989687750.013593066328603
0.641.433437861614870.0128280607903834
0.651.43583601619770.0122143325861351
0.661.438142529678960.01172132345314
0.671.440379267028550.0113229228086349
0.681.442565943858610.0110021831405027
0.691.444721754769140.0107586831810575
0.71.446867184338240.0106013333334765
0.711.449025673655060.0105532031519691
0.721.451224997606980.0106375208034387
0.731.453498449842650.0108763775250039
0.741.455886123075030.011291360702339
0.751.458436591688480.011908172873421
0.761.461209070905290.0127618025097941
0.771.464275652892190.0139055614399224
0.781.467722640108180.0153998817278485
0.791.471649562229930.017302425438317
0.81.476164484980910.0196327833137757
0.811.481374953572220.0223528993675543
0.821.487375424981430.0253468276952613
0.831.494234084407340.0284277248204613
0.841.501983905549140.0313691013822634
0.851.510623814625620.0339586038602121
0.861.52013491816990.0360654771511215
0.871.530513354208450.037716032573949
0.881.541815643019940.0391403096286673
0.891.554205880039150.0407591743757821
0.91.56798926431920.0430819983013948
0.911.583615669898820.0464958287430518
0.921.601639818788540.0510615571418527
0.931.622625453552670.0564105962561552
0.941.646971742538180.0617572635696206
0.951.674625583136760.065811451839379
0.961.704664389471650.0664971093407448
0.971.734864885942480.0608557657335904
0.981.761632201017340.0464073014294893
0.991.780856341865190.0254049138835828

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.13541110891849 & 0.01576672637899 \tabularnewline
0.02 & 1.14303646983912 & 0.0123276654844672 \tabularnewline
0.03 & 1.15076245890198 & 0.0129198865515837 \tabularnewline
0.04 & 1.15836163836205 & 0.016630331845644 \tabularnewline
0.05 & 1.16631288735535 & 0.020755208011227 \tabularnewline
0.06 & 1.17480915257524 & 0.0236882450660273 \tabularnewline
0.07 & 1.18359871008445 & 0.024813483651421 \tabularnewline
0.08 & 1.19222036265771 & 0.0242192228304163 \tabularnewline
0.09 & 1.20024899134619 & 0.0224214454792121 \tabularnewline
0.1 & 1.20742525690957 & 0.0200857180859641 \tabularnewline
0.11 & 1.21367780908207 & 0.0177971521504094 \tabularnewline
0.12 & 1.21908192128666 & 0.0159477418011314 \tabularnewline
0.13 & 1.22379537953388 & 0.0146995116110974 \tabularnewline
0.14 & 1.22799888279685 & 0.0140191257736822 \tabularnewline
0.15 & 1.23185413419473 & 0.0137553020331348 \tabularnewline
0.16 & 1.23548222850265 & 0.0137158316496699 \tabularnewline
0.17 & 1.23895897024026 & 0.0137330715048223 \tabularnewline
0.18 & 1.24232153712854 & 0.0136942883740856 \tabularnewline
0.19 & 1.24558089635107 & 0.0135504980571009 \tabularnewline
0.2 & 1.24873535801099 & 0.0133129744805654 \tabularnewline
0.21 & 1.25178197991111 & 0.0130332215217465 \tabularnewline
0.22 & 1.2547239749309 & 0.0127790954761452 \tabularnewline
0.23 & 1.25757366929566 & 0.0126150040698054 \tabularnewline
0.24 & 1.26035173324383 & 0.0125797648470224 \tabularnewline
0.25 & 1.26308416195388 & 0.0126819252596519 \tabularnewline
0.26 & 1.26579871039669 & 0.0129102631419879 \tabularnewline
0.27 & 1.26852220635205 & 0.0132360931421024 \tabularnewline
0.28 & 1.2712795396615 & 0.0136484895485206 \tabularnewline
0.29 & 1.27409438513203 & 0.0141448921738706 \tabularnewline
0.3 & 1.27699108865348 & 0.0147504792886726 \tabularnewline
0.31 & 1.27999678860036 & 0.0155047653058034 \tabularnewline
0.32 & 1.28314281363103 & 0.0164514785380233 \tabularnewline
0.33 & 1.28646465257009 & 0.0176264439651201 \tabularnewline
0.34 & 1.29000022411344 & 0.0190413005521692 \tabularnewline
0.35 & 1.29378664924173 & 0.0206772773523146 \tabularnewline
0.36 & 1.29785612404724 & 0.0224844882058572 \tabularnewline
0.37 & 1.3022317183196 & 0.0243885169411327 \tabularnewline
0.38 & 1.30692394727968 & 0.0262977664544781 \tabularnewline
0.39 & 1.31192879067482 & 0.0281176649200059 \tabularnewline
0.4 & 1.31722751641962 & 0.0297623844504246 \tabularnewline
0.41 & 1.32278828409002 & 0.0311633991652787 \tabularnewline
0.42 & 1.32856914620473 & 0.0322820169793802 \tabularnewline
0.43 & 1.33452181271215 & 0.0331012459795758 \tabularnewline
0.44 & 1.34059544959041 & 0.0336217810943094 \tabularnewline
0.45 & 1.34673985926257 & 0.0338709504861338 \tabularnewline
0.46 & 1.35290760918602 & 0.0338762874240411 \tabularnewline
0.47 & 1.35905497197604 & 0.0336640998169104 \tabularnewline
0.48 & 1.36514183644364 & 0.0332526619219407 \tabularnewline
0.49 & 1.37113097120522 & 0.0326518488772142 \tabularnewline
0.5 & 1.37698712416663 & 0.0318641121041921 \tabularnewline
0.51 & 1.38267641139323 & 0.0308877552787227 \tabularnewline
0.52 & 1.38816631149234 & 0.0297222837073882 \tabularnewline
0.53 & 1.39342638373613 & 0.0283788833475065 \tabularnewline
0.54 & 1.3984296237698 & 0.0268776610883807 \tabularnewline
0.55 & 1.40315420575154 & 0.0252511963618012 \tabularnewline
0.56 & 1.40758526263027 & 0.0235449682025313 \tabularnewline
0.57 & 1.41171633627212 & 0.0218099945949162 \tabularnewline
0.58 & 1.41555018041879 & 0.0201036832324334 \tabularnewline
0.59 & 1.41909870719057 & 0.0184807441530065 \tabularnewline
0.6 & 1.4223820131761 & 0.0169903544921706 \tabularnewline
0.61 & 1.42542658293075 & 0.0156688016107513 \tabularnewline
0.62 & 1.4282629218682 & 0.0145342757559352 \tabularnewline
0.63 & 1.43092298968775 & 0.013593066328603 \tabularnewline
0.64 & 1.43343786161487 & 0.0128280607903834 \tabularnewline
0.65 & 1.4358360161977 & 0.0122143325861351 \tabularnewline
0.66 & 1.43814252967896 & 0.01172132345314 \tabularnewline
0.67 & 1.44037926702855 & 0.0113229228086349 \tabularnewline
0.68 & 1.44256594385861 & 0.0110021831405027 \tabularnewline
0.69 & 1.44472175476914 & 0.0107586831810575 \tabularnewline
0.7 & 1.44686718433824 & 0.0106013333334765 \tabularnewline
0.71 & 1.44902567365506 & 0.0105532031519691 \tabularnewline
0.72 & 1.45122499760698 & 0.0106375208034387 \tabularnewline
0.73 & 1.45349844984265 & 0.0108763775250039 \tabularnewline
0.74 & 1.45588612307503 & 0.011291360702339 \tabularnewline
0.75 & 1.45843659168848 & 0.011908172873421 \tabularnewline
0.76 & 1.46120907090529 & 0.0127618025097941 \tabularnewline
0.77 & 1.46427565289219 & 0.0139055614399224 \tabularnewline
0.78 & 1.46772264010818 & 0.0153998817278485 \tabularnewline
0.79 & 1.47164956222993 & 0.017302425438317 \tabularnewline
0.8 & 1.47616448498091 & 0.0196327833137757 \tabularnewline
0.81 & 1.48137495357222 & 0.0223528993675543 \tabularnewline
0.82 & 1.48737542498143 & 0.0253468276952613 \tabularnewline
0.83 & 1.49423408440734 & 0.0284277248204613 \tabularnewline
0.84 & 1.50198390554914 & 0.0313691013822634 \tabularnewline
0.85 & 1.51062381462562 & 0.0339586038602121 \tabularnewline
0.86 & 1.5201349181699 & 0.0360654771511215 \tabularnewline
0.87 & 1.53051335420845 & 0.037716032573949 \tabularnewline
0.88 & 1.54181564301994 & 0.0391403096286673 \tabularnewline
0.89 & 1.55420588003915 & 0.0407591743757821 \tabularnewline
0.9 & 1.5679892643192 & 0.0430819983013948 \tabularnewline
0.91 & 1.58361566989882 & 0.0464958287430518 \tabularnewline
0.92 & 1.60163981878854 & 0.0510615571418527 \tabularnewline
0.93 & 1.62262545355267 & 0.0564105962561552 \tabularnewline
0.94 & 1.64697174253818 & 0.0617572635696206 \tabularnewline
0.95 & 1.67462558313676 & 0.065811451839379 \tabularnewline
0.96 & 1.70466438947165 & 0.0664971093407448 \tabularnewline
0.97 & 1.73486488594248 & 0.0608557657335904 \tabularnewline
0.98 & 1.76163220101734 & 0.0464073014294893 \tabularnewline
0.99 & 1.78085634186519 & 0.0254049138835828 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=209329&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]1.13541110891849[/C][C]0.01576672637899[/C][/ROW]
[ROW][C]0.02[/C][C]1.14303646983912[/C][C]0.0123276654844672[/C][/ROW]
[ROW][C]0.03[/C][C]1.15076245890198[/C][C]0.0129198865515837[/C][/ROW]
[ROW][C]0.04[/C][C]1.15836163836205[/C][C]0.016630331845644[/C][/ROW]
[ROW][C]0.05[/C][C]1.16631288735535[/C][C]0.020755208011227[/C][/ROW]
[ROW][C]0.06[/C][C]1.17480915257524[/C][C]0.0236882450660273[/C][/ROW]
[ROW][C]0.07[/C][C]1.18359871008445[/C][C]0.024813483651421[/C][/ROW]
[ROW][C]0.08[/C][C]1.19222036265771[/C][C]0.0242192228304163[/C][/ROW]
[ROW][C]0.09[/C][C]1.20024899134619[/C][C]0.0224214454792121[/C][/ROW]
[ROW][C]0.1[/C][C]1.20742525690957[/C][C]0.0200857180859641[/C][/ROW]
[ROW][C]0.11[/C][C]1.21367780908207[/C][C]0.0177971521504094[/C][/ROW]
[ROW][C]0.12[/C][C]1.21908192128666[/C][C]0.0159477418011314[/C][/ROW]
[ROW][C]0.13[/C][C]1.22379537953388[/C][C]0.0146995116110974[/C][/ROW]
[ROW][C]0.14[/C][C]1.22799888279685[/C][C]0.0140191257736822[/C][/ROW]
[ROW][C]0.15[/C][C]1.23185413419473[/C][C]0.0137553020331348[/C][/ROW]
[ROW][C]0.16[/C][C]1.23548222850265[/C][C]0.0137158316496699[/C][/ROW]
[ROW][C]0.17[/C][C]1.23895897024026[/C][C]0.0137330715048223[/C][/ROW]
[ROW][C]0.18[/C][C]1.24232153712854[/C][C]0.0136942883740856[/C][/ROW]
[ROW][C]0.19[/C][C]1.24558089635107[/C][C]0.0135504980571009[/C][/ROW]
[ROW][C]0.2[/C][C]1.24873535801099[/C][C]0.0133129744805654[/C][/ROW]
[ROW][C]0.21[/C][C]1.25178197991111[/C][C]0.0130332215217465[/C][/ROW]
[ROW][C]0.22[/C][C]1.2547239749309[/C][C]0.0127790954761452[/C][/ROW]
[ROW][C]0.23[/C][C]1.25757366929566[/C][C]0.0126150040698054[/C][/ROW]
[ROW][C]0.24[/C][C]1.26035173324383[/C][C]0.0125797648470224[/C][/ROW]
[ROW][C]0.25[/C][C]1.26308416195388[/C][C]0.0126819252596519[/C][/ROW]
[ROW][C]0.26[/C][C]1.26579871039669[/C][C]0.0129102631419879[/C][/ROW]
[ROW][C]0.27[/C][C]1.26852220635205[/C][C]0.0132360931421024[/C][/ROW]
[ROW][C]0.28[/C][C]1.2712795396615[/C][C]0.0136484895485206[/C][/ROW]
[ROW][C]0.29[/C][C]1.27409438513203[/C][C]0.0141448921738706[/C][/ROW]
[ROW][C]0.3[/C][C]1.27699108865348[/C][C]0.0147504792886726[/C][/ROW]
[ROW][C]0.31[/C][C]1.27999678860036[/C][C]0.0155047653058034[/C][/ROW]
[ROW][C]0.32[/C][C]1.28314281363103[/C][C]0.0164514785380233[/C][/ROW]
[ROW][C]0.33[/C][C]1.28646465257009[/C][C]0.0176264439651201[/C][/ROW]
[ROW][C]0.34[/C][C]1.29000022411344[/C][C]0.0190413005521692[/C][/ROW]
[ROW][C]0.35[/C][C]1.29378664924173[/C][C]0.0206772773523146[/C][/ROW]
[ROW][C]0.36[/C][C]1.29785612404724[/C][C]0.0224844882058572[/C][/ROW]
[ROW][C]0.37[/C][C]1.3022317183196[/C][C]0.0243885169411327[/C][/ROW]
[ROW][C]0.38[/C][C]1.30692394727968[/C][C]0.0262977664544781[/C][/ROW]
[ROW][C]0.39[/C][C]1.31192879067482[/C][C]0.0281176649200059[/C][/ROW]
[ROW][C]0.4[/C][C]1.31722751641962[/C][C]0.0297623844504246[/C][/ROW]
[ROW][C]0.41[/C][C]1.32278828409002[/C][C]0.0311633991652787[/C][/ROW]
[ROW][C]0.42[/C][C]1.32856914620473[/C][C]0.0322820169793802[/C][/ROW]
[ROW][C]0.43[/C][C]1.33452181271215[/C][C]0.0331012459795758[/C][/ROW]
[ROW][C]0.44[/C][C]1.34059544959041[/C][C]0.0336217810943094[/C][/ROW]
[ROW][C]0.45[/C][C]1.34673985926257[/C][C]0.0338709504861338[/C][/ROW]
[ROW][C]0.46[/C][C]1.35290760918602[/C][C]0.0338762874240411[/C][/ROW]
[ROW][C]0.47[/C][C]1.35905497197604[/C][C]0.0336640998169104[/C][/ROW]
[ROW][C]0.48[/C][C]1.36514183644364[/C][C]0.0332526619219407[/C][/ROW]
[ROW][C]0.49[/C][C]1.37113097120522[/C][C]0.0326518488772142[/C][/ROW]
[ROW][C]0.5[/C][C]1.37698712416663[/C][C]0.0318641121041921[/C][/ROW]
[ROW][C]0.51[/C][C]1.38267641139323[/C][C]0.0308877552787227[/C][/ROW]
[ROW][C]0.52[/C][C]1.38816631149234[/C][C]0.0297222837073882[/C][/ROW]
[ROW][C]0.53[/C][C]1.39342638373613[/C][C]0.0283788833475065[/C][/ROW]
[ROW][C]0.54[/C][C]1.3984296237698[/C][C]0.0268776610883807[/C][/ROW]
[ROW][C]0.55[/C][C]1.40315420575154[/C][C]0.0252511963618012[/C][/ROW]
[ROW][C]0.56[/C][C]1.40758526263027[/C][C]0.0235449682025313[/C][/ROW]
[ROW][C]0.57[/C][C]1.41171633627212[/C][C]0.0218099945949162[/C][/ROW]
[ROW][C]0.58[/C][C]1.41555018041879[/C][C]0.0201036832324334[/C][/ROW]
[ROW][C]0.59[/C][C]1.41909870719057[/C][C]0.0184807441530065[/C][/ROW]
[ROW][C]0.6[/C][C]1.4223820131761[/C][C]0.0169903544921706[/C][/ROW]
[ROW][C]0.61[/C][C]1.42542658293075[/C][C]0.0156688016107513[/C][/ROW]
[ROW][C]0.62[/C][C]1.4282629218682[/C][C]0.0145342757559352[/C][/ROW]
[ROW][C]0.63[/C][C]1.43092298968775[/C][C]0.013593066328603[/C][/ROW]
[ROW][C]0.64[/C][C]1.43343786161487[/C][C]0.0128280607903834[/C][/ROW]
[ROW][C]0.65[/C][C]1.4358360161977[/C][C]0.0122143325861351[/C][/ROW]
[ROW][C]0.66[/C][C]1.43814252967896[/C][C]0.01172132345314[/C][/ROW]
[ROW][C]0.67[/C][C]1.44037926702855[/C][C]0.0113229228086349[/C][/ROW]
[ROW][C]0.68[/C][C]1.44256594385861[/C][C]0.0110021831405027[/C][/ROW]
[ROW][C]0.69[/C][C]1.44472175476914[/C][C]0.0107586831810575[/C][/ROW]
[ROW][C]0.7[/C][C]1.44686718433824[/C][C]0.0106013333334765[/C][/ROW]
[ROW][C]0.71[/C][C]1.44902567365506[/C][C]0.0105532031519691[/C][/ROW]
[ROW][C]0.72[/C][C]1.45122499760698[/C][C]0.0106375208034387[/C][/ROW]
[ROW][C]0.73[/C][C]1.45349844984265[/C][C]0.0108763775250039[/C][/ROW]
[ROW][C]0.74[/C][C]1.45588612307503[/C][C]0.011291360702339[/C][/ROW]
[ROW][C]0.75[/C][C]1.45843659168848[/C][C]0.011908172873421[/C][/ROW]
[ROW][C]0.76[/C][C]1.46120907090529[/C][C]0.0127618025097941[/C][/ROW]
[ROW][C]0.77[/C][C]1.46427565289219[/C][C]0.0139055614399224[/C][/ROW]
[ROW][C]0.78[/C][C]1.46772264010818[/C][C]0.0153998817278485[/C][/ROW]
[ROW][C]0.79[/C][C]1.47164956222993[/C][C]0.017302425438317[/C][/ROW]
[ROW][C]0.8[/C][C]1.47616448498091[/C][C]0.0196327833137757[/C][/ROW]
[ROW][C]0.81[/C][C]1.48137495357222[/C][C]0.0223528993675543[/C][/ROW]
[ROW][C]0.82[/C][C]1.48737542498143[/C][C]0.0253468276952613[/C][/ROW]
[ROW][C]0.83[/C][C]1.49423408440734[/C][C]0.0284277248204613[/C][/ROW]
[ROW][C]0.84[/C][C]1.50198390554914[/C][C]0.0313691013822634[/C][/ROW]
[ROW][C]0.85[/C][C]1.51062381462562[/C][C]0.0339586038602121[/C][/ROW]
[ROW][C]0.86[/C][C]1.5201349181699[/C][C]0.0360654771511215[/C][/ROW]
[ROW][C]0.87[/C][C]1.53051335420845[/C][C]0.037716032573949[/C][/ROW]
[ROW][C]0.88[/C][C]1.54181564301994[/C][C]0.0391403096286673[/C][/ROW]
[ROW][C]0.89[/C][C]1.55420588003915[/C][C]0.0407591743757821[/C][/ROW]
[ROW][C]0.9[/C][C]1.5679892643192[/C][C]0.0430819983013948[/C][/ROW]
[ROW][C]0.91[/C][C]1.58361566989882[/C][C]0.0464958287430518[/C][/ROW]
[ROW][C]0.92[/C][C]1.60163981878854[/C][C]0.0510615571418527[/C][/ROW]
[ROW][C]0.93[/C][C]1.62262545355267[/C][C]0.0564105962561552[/C][/ROW]
[ROW][C]0.94[/C][C]1.64697174253818[/C][C]0.0617572635696206[/C][/ROW]
[ROW][C]0.95[/C][C]1.67462558313676[/C][C]0.065811451839379[/C][/ROW]
[ROW][C]0.96[/C][C]1.70466438947165[/C][C]0.0664971093407448[/C][/ROW]
[ROW][C]0.97[/C][C]1.73486488594248[/C][C]0.0608557657335904[/C][/ROW]
[ROW][C]0.98[/C][C]1.76163220101734[/C][C]0.0464073014294893[/C][/ROW]
[ROW][C]0.99[/C][C]1.78085634186519[/C][C]0.0254049138835828[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=209329&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=209329&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
0.011.135411108918490.01576672637899
0.021.143036469839120.0123276654844672
0.031.150762458901980.0129198865515837
0.041.158361638362050.016630331845644
0.051.166312887355350.020755208011227
0.061.174809152575240.0236882450660273
0.071.183598710084450.024813483651421
0.081.192220362657710.0242192228304163
0.091.200248991346190.0224214454792121
0.11.207425256909570.0200857180859641
0.111.213677809082070.0177971521504094
0.121.219081921286660.0159477418011314
0.131.223795379533880.0146995116110974
0.141.227998882796850.0140191257736822
0.151.231854134194730.0137553020331348
0.161.235482228502650.0137158316496699
0.171.238958970240260.0137330715048223
0.181.242321537128540.0136942883740856
0.191.245580896351070.0135504980571009
0.21.248735358010990.0133129744805654
0.211.251781979911110.0130332215217465
0.221.25472397493090.0127790954761452
0.231.257573669295660.0126150040698054
0.241.260351733243830.0125797648470224
0.251.263084161953880.0126819252596519
0.261.265798710396690.0129102631419879
0.271.268522206352050.0132360931421024
0.281.27127953966150.0136484895485206
0.291.274094385132030.0141448921738706
0.31.276991088653480.0147504792886726
0.311.279996788600360.0155047653058034
0.321.283142813631030.0164514785380233
0.331.286464652570090.0176264439651201
0.341.290000224113440.0190413005521692
0.351.293786649241730.0206772773523146
0.361.297856124047240.0224844882058572
0.371.30223171831960.0243885169411327
0.381.306923947279680.0262977664544781
0.391.311928790674820.0281176649200059
0.41.317227516419620.0297623844504246
0.411.322788284090020.0311633991652787
0.421.328569146204730.0322820169793802
0.431.334521812712150.0331012459795758
0.441.340595449590410.0336217810943094
0.451.346739859262570.0338709504861338
0.461.352907609186020.0338762874240411
0.471.359054971976040.0336640998169104
0.481.365141836443640.0332526619219407
0.491.371130971205220.0326518488772142
0.51.376987124166630.0318641121041921
0.511.382676411393230.0308877552787227
0.521.388166311492340.0297222837073882
0.531.393426383736130.0283788833475065
0.541.39842962376980.0268776610883807
0.551.403154205751540.0252511963618012
0.561.407585262630270.0235449682025313
0.571.411716336272120.0218099945949162
0.581.415550180418790.0201036832324334
0.591.419098707190570.0184807441530065
0.61.42238201317610.0169903544921706
0.611.425426582930750.0156688016107513
0.621.42826292186820.0145342757559352
0.631.430922989687750.013593066328603
0.641.433437861614870.0128280607903834
0.651.43583601619770.0122143325861351
0.661.438142529678960.01172132345314
0.671.440379267028550.0113229228086349
0.681.442565943858610.0110021831405027
0.691.444721754769140.0107586831810575
0.71.446867184338240.0106013333334765
0.711.449025673655060.0105532031519691
0.721.451224997606980.0106375208034387
0.731.453498449842650.0108763775250039
0.741.455886123075030.011291360702339
0.751.458436591688480.011908172873421
0.761.461209070905290.0127618025097941
0.771.464275652892190.0139055614399224
0.781.467722640108180.0153998817278485
0.791.471649562229930.017302425438317
0.81.476164484980910.0196327833137757
0.811.481374953572220.0223528993675543
0.821.487375424981430.0253468276952613
0.831.494234084407340.0284277248204613
0.841.501983905549140.0313691013822634
0.851.510623814625620.0339586038602121
0.861.52013491816990.0360654771511215
0.871.530513354208450.037716032573949
0.881.541815643019940.0391403096286673
0.891.554205880039150.0407591743757821
0.91.56798926431920.0430819983013948
0.911.583615669898820.0464958287430518
0.921.601639818788540.0510615571418527
0.931.622625453552670.0564105962561552
0.941.646971742538180.0617572635696206
0.951.674625583136760.065811451839379
0.961.704664389471650.0664971093407448
0.971.734864885942480.0608557657335904
0.981.761632201017340.0464073014294893
0.991.780856341865190.0254049138835828



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')