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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 20 Oct 2009 06:56:47 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/20/t1256043461mf18oq66h397i5z.htm/, Retrieved Thu, 02 May 2024 17:43:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=48605, Retrieved Thu, 02 May 2024 17:43:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact135
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2009-10-20 12:56:47] [a0577a728571d1f3a39246738c9fa77a] [Current]
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Dataseries X:
1.61
1.58
1.69
1.78
1.76
1.83
1.8
1.57
1.45
1.4
1.55
1.58
1.58
1.59
1.8
1.99
2.06
2.06
2.08
2
1.85
1.77
1.7
1.66
1.67
1.73
1.91
2.02
2.07
2.15
2.1
1.68
1.68
1.65
1.72
1.73
1.76
1.84
1.99
2.05
2.12
2.13
2.08
1.88
1.81
1.81
1.88
1.87
1.87
1.9
2.01
2.05
2.16
2.18
2.15
2.12
2.04
2.04
2.06
1.93
1.86
1.94
2.35
2.46
2.59
2.66
2.41
2.18
2.13
2.11
2.12
2.16
2.07
2.2
2.29
2.32
2.37
2.38
2.38
2.28
2.22
2.25
2.3
2.3
2.23
2.27
2.3
2.32
2.41
2.43
2.45
2.47
2.46
2.5
2.46
2.43
2.37
2.45
2.53
2.56
2.62
2.67
2.62
2.6
2.53
2.49
2.48
2.44




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48605&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48605&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48605&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.436915754228120.0627268324087838
0.021.490696077405720.0624854934288203
0.031.534412750453260.0438439041111057
0.041.562195931492230.0277830309932364
0.051.579555200200700.0235463345400634
0.061.593079396516370.0276532443847025
0.071.606567700312540.0335852198110813
0.081.621081476977740.0376935839936919
0.091.636165261382590.0388976911580868
0.11.650971837606820.0378968775019491
0.111.664921559023890.036169979569423
0.121.677890620222190.0349932199708631
0.131.690091984502280.034901520696336
0.141.701855331185910.035718844123855
0.151.713453429531820.036949466006919
0.161.725028101925960.0381310726182351
0.171.736599025320420.0389992570716624
0.181.748112523157030.0394781786753141
0.191.759493482697520.0396249625347087
0.21.770681310583550.0395697062644076
0.211.781646321416110.0394377277510814
0.221.792391335450770.039350153664932
0.231.802945637847390.039387608922406
0.241.813357535091490.0395996739061205
0.251.823689478026970.0400372329322507
0.261.834016986051670.0407611208643673
0.271.844429913632630.0418552777304806
0.281.855032635770540.0434092058787959
0.291.865939279661490.0454861876308089
0.31.877261582852770.0480597044778595
0.311.889089894841230.0509882389626548
0.321.901471088379320.054008952851933
0.331.91438930197880.0567740147100555
0.341.927755524626300.0589293993533821
0.351.941409967592460.0601575668319573
0.361.955137740992110.0602596838686892
0.371.968694840124980.0591722362488519
0.381.981839031339250.05697968902762
0.391.994359539831740.0538959304427612
0.42.006100406082140.0502137602713685
0.412.016974378133150.0462760375757318
0.422.026966446215360.042402476826261
0.432.036127973511180.0388843667537856
0.442.044563553366780.0359488509712211
0.452.052413278251640.0337267782216874
0.462.059833248923980.0322563964296037
0.472.066977064738670.0314874276663553
0.482.073980766057220.031282909002132
0.492.080953181432150.0314866419757439
0.52.087972791732910.0319318234570036
0.512.095091092827720.0324962577488757
0.522.102341204382400.0331180306386445
0.532.109749428316910.0337986738450155
0.542.117346890452400.0346008070432383
0.552.125178456647720.0356228468144644
0.562.133306764773070.0369649964494629
0.572.141810263007710.0386977348439582
0.582.150775340220190.0408430605435216
0.592.160283765019790.0433375739962069
0.62.170397593526150.0460523267130378
0.612.181144394455660.048785542016319
0.622.192505986450820.0513031629029219
0.632.204413730540430.0533528547717127
0.642.216752581303520.0547420439448996
0.652.229374480145850.0553398522136987
0.662.242119435661590.0551445213400229
0.672.254840289040010.0542706363045549
0.682.267425490407740.0529360738123079
0.692.279814006460940.0514176313708271
0.72.291998158659250.0499777074283443
0.712.304013476022440.0488040214920203
0.722.315918504880340.0479501726172341
0.732.327770495083010.0473502453184537
0.742.339603746244460.0468386563404759
0.752.351415799562930.0462221623262078
0.762.363163411758290.0453360590488868
0.772.374766964726380.0440598672286996
0.782.386120206958870.0423382379813877
0.792.397102610141700.0401541188465656
0.82.407593500469610.037540200791575
0.812.417488993523970.0345803887312763
0.822.426723192823060.0314277018426368
0.832.435293511107220.028323592534765
0.842.443286820188850.0255817149839697
0.852.450899752445270.0235909394738569
0.862.45844463346960.0227237536801934
0.872.466333929366820.0232348881759830
0.882.475041436553370.025135284110312
0.892.485045840125150.0281702824584329
0.92.496766223495710.0318914655586496
0.912.51049325076690.0357510506360837
0.922.526306512049250.0390940429753403
0.932.543971491654430.0410922223611873
0.942.562868676821840.0407817417377208
0.952.582126777212100.0375802809787387
0.962.601159564601370.0323575107869231
0.972.620333769390350.0281381059322593
0.982.64037678154380.0263945847482386
0.992.659231377957920.0200714467206589

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.43691575422812 & 0.0627268324087838 \tabularnewline
0.02 & 1.49069607740572 & 0.0624854934288203 \tabularnewline
0.03 & 1.53441275045326 & 0.0438439041111057 \tabularnewline
0.04 & 1.56219593149223 & 0.0277830309932364 \tabularnewline
0.05 & 1.57955520020070 & 0.0235463345400634 \tabularnewline
0.06 & 1.59307939651637 & 0.0276532443847025 \tabularnewline
0.07 & 1.60656770031254 & 0.0335852198110813 \tabularnewline
0.08 & 1.62108147697774 & 0.0376935839936919 \tabularnewline
0.09 & 1.63616526138259 & 0.0388976911580868 \tabularnewline
0.1 & 1.65097183760682 & 0.0378968775019491 \tabularnewline
0.11 & 1.66492155902389 & 0.036169979569423 \tabularnewline
0.12 & 1.67789062022219 & 0.0349932199708631 \tabularnewline
0.13 & 1.69009198450228 & 0.034901520696336 \tabularnewline
0.14 & 1.70185533118591 & 0.035718844123855 \tabularnewline
0.15 & 1.71345342953182 & 0.036949466006919 \tabularnewline
0.16 & 1.72502810192596 & 0.0381310726182351 \tabularnewline
0.17 & 1.73659902532042 & 0.0389992570716624 \tabularnewline
0.18 & 1.74811252315703 & 0.0394781786753141 \tabularnewline
0.19 & 1.75949348269752 & 0.0396249625347087 \tabularnewline
0.2 & 1.77068131058355 & 0.0395697062644076 \tabularnewline
0.21 & 1.78164632141611 & 0.0394377277510814 \tabularnewline
0.22 & 1.79239133545077 & 0.039350153664932 \tabularnewline
0.23 & 1.80294563784739 & 0.039387608922406 \tabularnewline
0.24 & 1.81335753509149 & 0.0395996739061205 \tabularnewline
0.25 & 1.82368947802697 & 0.0400372329322507 \tabularnewline
0.26 & 1.83401698605167 & 0.0407611208643673 \tabularnewline
0.27 & 1.84442991363263 & 0.0418552777304806 \tabularnewline
0.28 & 1.85503263577054 & 0.0434092058787959 \tabularnewline
0.29 & 1.86593927966149 & 0.0454861876308089 \tabularnewline
0.3 & 1.87726158285277 & 0.0480597044778595 \tabularnewline
0.31 & 1.88908989484123 & 0.0509882389626548 \tabularnewline
0.32 & 1.90147108837932 & 0.054008952851933 \tabularnewline
0.33 & 1.9143893019788 & 0.0567740147100555 \tabularnewline
0.34 & 1.92775552462630 & 0.0589293993533821 \tabularnewline
0.35 & 1.94140996759246 & 0.0601575668319573 \tabularnewline
0.36 & 1.95513774099211 & 0.0602596838686892 \tabularnewline
0.37 & 1.96869484012498 & 0.0591722362488519 \tabularnewline
0.38 & 1.98183903133925 & 0.05697968902762 \tabularnewline
0.39 & 1.99435953983174 & 0.0538959304427612 \tabularnewline
0.4 & 2.00610040608214 & 0.0502137602713685 \tabularnewline
0.41 & 2.01697437813315 & 0.0462760375757318 \tabularnewline
0.42 & 2.02696644621536 & 0.042402476826261 \tabularnewline
0.43 & 2.03612797351118 & 0.0388843667537856 \tabularnewline
0.44 & 2.04456355336678 & 0.0359488509712211 \tabularnewline
0.45 & 2.05241327825164 & 0.0337267782216874 \tabularnewline
0.46 & 2.05983324892398 & 0.0322563964296037 \tabularnewline
0.47 & 2.06697706473867 & 0.0314874276663553 \tabularnewline
0.48 & 2.07398076605722 & 0.031282909002132 \tabularnewline
0.49 & 2.08095318143215 & 0.0314866419757439 \tabularnewline
0.5 & 2.08797279173291 & 0.0319318234570036 \tabularnewline
0.51 & 2.09509109282772 & 0.0324962577488757 \tabularnewline
0.52 & 2.10234120438240 & 0.0331180306386445 \tabularnewline
0.53 & 2.10974942831691 & 0.0337986738450155 \tabularnewline
0.54 & 2.11734689045240 & 0.0346008070432383 \tabularnewline
0.55 & 2.12517845664772 & 0.0356228468144644 \tabularnewline
0.56 & 2.13330676477307 & 0.0369649964494629 \tabularnewline
0.57 & 2.14181026300771 & 0.0386977348439582 \tabularnewline
0.58 & 2.15077534022019 & 0.0408430605435216 \tabularnewline
0.59 & 2.16028376501979 & 0.0433375739962069 \tabularnewline
0.6 & 2.17039759352615 & 0.0460523267130378 \tabularnewline
0.61 & 2.18114439445566 & 0.048785542016319 \tabularnewline
0.62 & 2.19250598645082 & 0.0513031629029219 \tabularnewline
0.63 & 2.20441373054043 & 0.0533528547717127 \tabularnewline
0.64 & 2.21675258130352 & 0.0547420439448996 \tabularnewline
0.65 & 2.22937448014585 & 0.0553398522136987 \tabularnewline
0.66 & 2.24211943566159 & 0.0551445213400229 \tabularnewline
0.67 & 2.25484028904001 & 0.0542706363045549 \tabularnewline
0.68 & 2.26742549040774 & 0.0529360738123079 \tabularnewline
0.69 & 2.27981400646094 & 0.0514176313708271 \tabularnewline
0.7 & 2.29199815865925 & 0.0499777074283443 \tabularnewline
0.71 & 2.30401347602244 & 0.0488040214920203 \tabularnewline
0.72 & 2.31591850488034 & 0.0479501726172341 \tabularnewline
0.73 & 2.32777049508301 & 0.0473502453184537 \tabularnewline
0.74 & 2.33960374624446 & 0.0468386563404759 \tabularnewline
0.75 & 2.35141579956293 & 0.0462221623262078 \tabularnewline
0.76 & 2.36316341175829 & 0.0453360590488868 \tabularnewline
0.77 & 2.37476696472638 & 0.0440598672286996 \tabularnewline
0.78 & 2.38612020695887 & 0.0423382379813877 \tabularnewline
0.79 & 2.39710261014170 & 0.0401541188465656 \tabularnewline
0.8 & 2.40759350046961 & 0.037540200791575 \tabularnewline
0.81 & 2.41748899352397 & 0.0345803887312763 \tabularnewline
0.82 & 2.42672319282306 & 0.0314277018426368 \tabularnewline
0.83 & 2.43529351110722 & 0.028323592534765 \tabularnewline
0.84 & 2.44328682018885 & 0.0255817149839697 \tabularnewline
0.85 & 2.45089975244527 & 0.0235909394738569 \tabularnewline
0.86 & 2.4584446334696 & 0.0227237536801934 \tabularnewline
0.87 & 2.46633392936682 & 0.0232348881759830 \tabularnewline
0.88 & 2.47504143655337 & 0.025135284110312 \tabularnewline
0.89 & 2.48504584012515 & 0.0281702824584329 \tabularnewline
0.9 & 2.49676622349571 & 0.0318914655586496 \tabularnewline
0.91 & 2.5104932507669 & 0.0357510506360837 \tabularnewline
0.92 & 2.52630651204925 & 0.0390940429753403 \tabularnewline
0.93 & 2.54397149165443 & 0.0410922223611873 \tabularnewline
0.94 & 2.56286867682184 & 0.0407817417377208 \tabularnewline
0.95 & 2.58212677721210 & 0.0375802809787387 \tabularnewline
0.96 & 2.60115956460137 & 0.0323575107869231 \tabularnewline
0.97 & 2.62033376939035 & 0.0281381059322593 \tabularnewline
0.98 & 2.6403767815438 & 0.0263945847482386 \tabularnewline
0.99 & 2.65923137795792 & 0.0200714467206589 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48605&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]1.43691575422812[/C][C]0.0627268324087838[/C][/ROW]
[ROW][C]0.02[/C][C]1.49069607740572[/C][C]0.0624854934288203[/C][/ROW]
[ROW][C]0.03[/C][C]1.53441275045326[/C][C]0.0438439041111057[/C][/ROW]
[ROW][C]0.04[/C][C]1.56219593149223[/C][C]0.0277830309932364[/C][/ROW]
[ROW][C]0.05[/C][C]1.57955520020070[/C][C]0.0235463345400634[/C][/ROW]
[ROW][C]0.06[/C][C]1.59307939651637[/C][C]0.0276532443847025[/C][/ROW]
[ROW][C]0.07[/C][C]1.60656770031254[/C][C]0.0335852198110813[/C][/ROW]
[ROW][C]0.08[/C][C]1.62108147697774[/C][C]0.0376935839936919[/C][/ROW]
[ROW][C]0.09[/C][C]1.63616526138259[/C][C]0.0388976911580868[/C][/ROW]
[ROW][C]0.1[/C][C]1.65097183760682[/C][C]0.0378968775019491[/C][/ROW]
[ROW][C]0.11[/C][C]1.66492155902389[/C][C]0.036169979569423[/C][/ROW]
[ROW][C]0.12[/C][C]1.67789062022219[/C][C]0.0349932199708631[/C][/ROW]
[ROW][C]0.13[/C][C]1.69009198450228[/C][C]0.034901520696336[/C][/ROW]
[ROW][C]0.14[/C][C]1.70185533118591[/C][C]0.035718844123855[/C][/ROW]
[ROW][C]0.15[/C][C]1.71345342953182[/C][C]0.036949466006919[/C][/ROW]
[ROW][C]0.16[/C][C]1.72502810192596[/C][C]0.0381310726182351[/C][/ROW]
[ROW][C]0.17[/C][C]1.73659902532042[/C][C]0.0389992570716624[/C][/ROW]
[ROW][C]0.18[/C][C]1.74811252315703[/C][C]0.0394781786753141[/C][/ROW]
[ROW][C]0.19[/C][C]1.75949348269752[/C][C]0.0396249625347087[/C][/ROW]
[ROW][C]0.2[/C][C]1.77068131058355[/C][C]0.0395697062644076[/C][/ROW]
[ROW][C]0.21[/C][C]1.78164632141611[/C][C]0.0394377277510814[/C][/ROW]
[ROW][C]0.22[/C][C]1.79239133545077[/C][C]0.039350153664932[/C][/ROW]
[ROW][C]0.23[/C][C]1.80294563784739[/C][C]0.039387608922406[/C][/ROW]
[ROW][C]0.24[/C][C]1.81335753509149[/C][C]0.0395996739061205[/C][/ROW]
[ROW][C]0.25[/C][C]1.82368947802697[/C][C]0.0400372329322507[/C][/ROW]
[ROW][C]0.26[/C][C]1.83401698605167[/C][C]0.0407611208643673[/C][/ROW]
[ROW][C]0.27[/C][C]1.84442991363263[/C][C]0.0418552777304806[/C][/ROW]
[ROW][C]0.28[/C][C]1.85503263577054[/C][C]0.0434092058787959[/C][/ROW]
[ROW][C]0.29[/C][C]1.86593927966149[/C][C]0.0454861876308089[/C][/ROW]
[ROW][C]0.3[/C][C]1.87726158285277[/C][C]0.0480597044778595[/C][/ROW]
[ROW][C]0.31[/C][C]1.88908989484123[/C][C]0.0509882389626548[/C][/ROW]
[ROW][C]0.32[/C][C]1.90147108837932[/C][C]0.054008952851933[/C][/ROW]
[ROW][C]0.33[/C][C]1.9143893019788[/C][C]0.0567740147100555[/C][/ROW]
[ROW][C]0.34[/C][C]1.92775552462630[/C][C]0.0589293993533821[/C][/ROW]
[ROW][C]0.35[/C][C]1.94140996759246[/C][C]0.0601575668319573[/C][/ROW]
[ROW][C]0.36[/C][C]1.95513774099211[/C][C]0.0602596838686892[/C][/ROW]
[ROW][C]0.37[/C][C]1.96869484012498[/C][C]0.0591722362488519[/C][/ROW]
[ROW][C]0.38[/C][C]1.98183903133925[/C][C]0.05697968902762[/C][/ROW]
[ROW][C]0.39[/C][C]1.99435953983174[/C][C]0.0538959304427612[/C][/ROW]
[ROW][C]0.4[/C][C]2.00610040608214[/C][C]0.0502137602713685[/C][/ROW]
[ROW][C]0.41[/C][C]2.01697437813315[/C][C]0.0462760375757318[/C][/ROW]
[ROW][C]0.42[/C][C]2.02696644621536[/C][C]0.042402476826261[/C][/ROW]
[ROW][C]0.43[/C][C]2.03612797351118[/C][C]0.0388843667537856[/C][/ROW]
[ROW][C]0.44[/C][C]2.04456355336678[/C][C]0.0359488509712211[/C][/ROW]
[ROW][C]0.45[/C][C]2.05241327825164[/C][C]0.0337267782216874[/C][/ROW]
[ROW][C]0.46[/C][C]2.05983324892398[/C][C]0.0322563964296037[/C][/ROW]
[ROW][C]0.47[/C][C]2.06697706473867[/C][C]0.0314874276663553[/C][/ROW]
[ROW][C]0.48[/C][C]2.07398076605722[/C][C]0.031282909002132[/C][/ROW]
[ROW][C]0.49[/C][C]2.08095318143215[/C][C]0.0314866419757439[/C][/ROW]
[ROW][C]0.5[/C][C]2.08797279173291[/C][C]0.0319318234570036[/C][/ROW]
[ROW][C]0.51[/C][C]2.09509109282772[/C][C]0.0324962577488757[/C][/ROW]
[ROW][C]0.52[/C][C]2.10234120438240[/C][C]0.0331180306386445[/C][/ROW]
[ROW][C]0.53[/C][C]2.10974942831691[/C][C]0.0337986738450155[/C][/ROW]
[ROW][C]0.54[/C][C]2.11734689045240[/C][C]0.0346008070432383[/C][/ROW]
[ROW][C]0.55[/C][C]2.12517845664772[/C][C]0.0356228468144644[/C][/ROW]
[ROW][C]0.56[/C][C]2.13330676477307[/C][C]0.0369649964494629[/C][/ROW]
[ROW][C]0.57[/C][C]2.14181026300771[/C][C]0.0386977348439582[/C][/ROW]
[ROW][C]0.58[/C][C]2.15077534022019[/C][C]0.0408430605435216[/C][/ROW]
[ROW][C]0.59[/C][C]2.16028376501979[/C][C]0.0433375739962069[/C][/ROW]
[ROW][C]0.6[/C][C]2.17039759352615[/C][C]0.0460523267130378[/C][/ROW]
[ROW][C]0.61[/C][C]2.18114439445566[/C][C]0.048785542016319[/C][/ROW]
[ROW][C]0.62[/C][C]2.19250598645082[/C][C]0.0513031629029219[/C][/ROW]
[ROW][C]0.63[/C][C]2.20441373054043[/C][C]0.0533528547717127[/C][/ROW]
[ROW][C]0.64[/C][C]2.21675258130352[/C][C]0.0547420439448996[/C][/ROW]
[ROW][C]0.65[/C][C]2.22937448014585[/C][C]0.0553398522136987[/C][/ROW]
[ROW][C]0.66[/C][C]2.24211943566159[/C][C]0.0551445213400229[/C][/ROW]
[ROW][C]0.67[/C][C]2.25484028904001[/C][C]0.0542706363045549[/C][/ROW]
[ROW][C]0.68[/C][C]2.26742549040774[/C][C]0.0529360738123079[/C][/ROW]
[ROW][C]0.69[/C][C]2.27981400646094[/C][C]0.0514176313708271[/C][/ROW]
[ROW][C]0.7[/C][C]2.29199815865925[/C][C]0.0499777074283443[/C][/ROW]
[ROW][C]0.71[/C][C]2.30401347602244[/C][C]0.0488040214920203[/C][/ROW]
[ROW][C]0.72[/C][C]2.31591850488034[/C][C]0.0479501726172341[/C][/ROW]
[ROW][C]0.73[/C][C]2.32777049508301[/C][C]0.0473502453184537[/C][/ROW]
[ROW][C]0.74[/C][C]2.33960374624446[/C][C]0.0468386563404759[/C][/ROW]
[ROW][C]0.75[/C][C]2.35141579956293[/C][C]0.0462221623262078[/C][/ROW]
[ROW][C]0.76[/C][C]2.36316341175829[/C][C]0.0453360590488868[/C][/ROW]
[ROW][C]0.77[/C][C]2.37476696472638[/C][C]0.0440598672286996[/C][/ROW]
[ROW][C]0.78[/C][C]2.38612020695887[/C][C]0.0423382379813877[/C][/ROW]
[ROW][C]0.79[/C][C]2.39710261014170[/C][C]0.0401541188465656[/C][/ROW]
[ROW][C]0.8[/C][C]2.40759350046961[/C][C]0.037540200791575[/C][/ROW]
[ROW][C]0.81[/C][C]2.41748899352397[/C][C]0.0345803887312763[/C][/ROW]
[ROW][C]0.82[/C][C]2.42672319282306[/C][C]0.0314277018426368[/C][/ROW]
[ROW][C]0.83[/C][C]2.43529351110722[/C][C]0.028323592534765[/C][/ROW]
[ROW][C]0.84[/C][C]2.44328682018885[/C][C]0.0255817149839697[/C][/ROW]
[ROW][C]0.85[/C][C]2.45089975244527[/C][C]0.0235909394738569[/C][/ROW]
[ROW][C]0.86[/C][C]2.4584446334696[/C][C]0.0227237536801934[/C][/ROW]
[ROW][C]0.87[/C][C]2.46633392936682[/C][C]0.0232348881759830[/C][/ROW]
[ROW][C]0.88[/C][C]2.47504143655337[/C][C]0.025135284110312[/C][/ROW]
[ROW][C]0.89[/C][C]2.48504584012515[/C][C]0.0281702824584329[/C][/ROW]
[ROW][C]0.9[/C][C]2.49676622349571[/C][C]0.0318914655586496[/C][/ROW]
[ROW][C]0.91[/C][C]2.5104932507669[/C][C]0.0357510506360837[/C][/ROW]
[ROW][C]0.92[/C][C]2.52630651204925[/C][C]0.0390940429753403[/C][/ROW]
[ROW][C]0.93[/C][C]2.54397149165443[/C][C]0.0410922223611873[/C][/ROW]
[ROW][C]0.94[/C][C]2.56286867682184[/C][C]0.0407817417377208[/C][/ROW]
[ROW][C]0.95[/C][C]2.58212677721210[/C][C]0.0375802809787387[/C][/ROW]
[ROW][C]0.96[/C][C]2.60115956460137[/C][C]0.0323575107869231[/C][/ROW]
[ROW][C]0.97[/C][C]2.62033376939035[/C][C]0.0281381059322593[/C][/ROW]
[ROW][C]0.98[/C][C]2.6403767815438[/C][C]0.0263945847482386[/C][/ROW]
[ROW][C]0.99[/C][C]2.65923137795792[/C][C]0.0200714467206589[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48605&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48605&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
0.011.436915754228120.0627268324087838
0.021.490696077405720.0624854934288203
0.031.534412750453260.0438439041111057
0.041.562195931492230.0277830309932364
0.051.579555200200700.0235463345400634
0.061.593079396516370.0276532443847025
0.071.606567700312540.0335852198110813
0.081.621081476977740.0376935839936919
0.091.636165261382590.0388976911580868
0.11.650971837606820.0378968775019491
0.111.664921559023890.036169979569423
0.121.677890620222190.0349932199708631
0.131.690091984502280.034901520696336
0.141.701855331185910.035718844123855
0.151.713453429531820.036949466006919
0.161.725028101925960.0381310726182351
0.171.736599025320420.0389992570716624
0.181.748112523157030.0394781786753141
0.191.759493482697520.0396249625347087
0.21.770681310583550.0395697062644076
0.211.781646321416110.0394377277510814
0.221.792391335450770.039350153664932
0.231.802945637847390.039387608922406
0.241.813357535091490.0395996739061205
0.251.823689478026970.0400372329322507
0.261.834016986051670.0407611208643673
0.271.844429913632630.0418552777304806
0.281.855032635770540.0434092058787959
0.291.865939279661490.0454861876308089
0.31.877261582852770.0480597044778595
0.311.889089894841230.0509882389626548
0.321.901471088379320.054008952851933
0.331.91438930197880.0567740147100555
0.341.927755524626300.0589293993533821
0.351.941409967592460.0601575668319573
0.361.955137740992110.0602596838686892
0.371.968694840124980.0591722362488519
0.381.981839031339250.05697968902762
0.391.994359539831740.0538959304427612
0.42.006100406082140.0502137602713685
0.412.016974378133150.0462760375757318
0.422.026966446215360.042402476826261
0.432.036127973511180.0388843667537856
0.442.044563553366780.0359488509712211
0.452.052413278251640.0337267782216874
0.462.059833248923980.0322563964296037
0.472.066977064738670.0314874276663553
0.482.073980766057220.031282909002132
0.492.080953181432150.0314866419757439
0.52.087972791732910.0319318234570036
0.512.095091092827720.0324962577488757
0.522.102341204382400.0331180306386445
0.532.109749428316910.0337986738450155
0.542.117346890452400.0346008070432383
0.552.125178456647720.0356228468144644
0.562.133306764773070.0369649964494629
0.572.141810263007710.0386977348439582
0.582.150775340220190.0408430605435216
0.592.160283765019790.0433375739962069
0.62.170397593526150.0460523267130378
0.612.181144394455660.048785542016319
0.622.192505986450820.0513031629029219
0.632.204413730540430.0533528547717127
0.642.216752581303520.0547420439448996
0.652.229374480145850.0553398522136987
0.662.242119435661590.0551445213400229
0.672.254840289040010.0542706363045549
0.682.267425490407740.0529360738123079
0.692.279814006460940.0514176313708271
0.72.291998158659250.0499777074283443
0.712.304013476022440.0488040214920203
0.722.315918504880340.0479501726172341
0.732.327770495083010.0473502453184537
0.742.339603746244460.0468386563404759
0.752.351415799562930.0462221623262078
0.762.363163411758290.0453360590488868
0.772.374766964726380.0440598672286996
0.782.386120206958870.0423382379813877
0.792.397102610141700.0401541188465656
0.82.407593500469610.037540200791575
0.812.417488993523970.0345803887312763
0.822.426723192823060.0314277018426368
0.832.435293511107220.028323592534765
0.842.443286820188850.0255817149839697
0.852.450899752445270.0235909394738569
0.862.45844463346960.0227237536801934
0.872.466333929366820.0232348881759830
0.882.475041436553370.025135284110312
0.892.485045840125150.0281702824584329
0.92.496766223495710.0318914655586496
0.912.51049325076690.0357510506360837
0.922.526306512049250.0390940429753403
0.932.543971491654430.0410922223611873
0.942.562868676821840.0407817417377208
0.952.582126777212100.0375802809787387
0.962.601159564601370.0323575107869231
0.972.620333769390350.0281381059322593
0.982.64037678154380.0263945847482386
0.992.659231377957920.0200714467206589



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')