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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 18 Oct 2008 08:45:52 -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/2008/Oct/18/t1224341215uusgjsdg2utwi0e.htm/, Retrieved Wed, 15 May 2024 18:51:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16641, Retrieved Wed, 15 May 2024 18:51:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact111
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Percentielen - Ge...] [2008-10-18 14:45:52] [b3f4824a747975de0748bc1b396f9742] [Current]
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Dataseries X:
4.71
4.72
4.71
4.72
4.71
4.71
4.71
4.72
4.72
4.84
4.84
4.84
4.84
4.84
4.84
4.84
4.84
4.84
4.84
4.84
4.84
4.91
4.91
4.91
4.91
4.91
4.91
4.91
4.91
4.91
4.91
4.91
4.91
4.92
4.96
4.96
4.96
4.96
4.96
4.96
4.96
4.96
4.96
4.96
4.96
5.04
5.04
5.04
5.04
5.04
5.04
5.04
5.04
5.04
5.04
5.04
5.04
5.09
5.09
5.09
5.09
5.09
5.09
5.09
5.09
5.09
5.09
5.09
5.09
5.43
5.43
5.43
5.43
5.43
5.43
5.43
5.43
5.43
5.43
5.43
5.43
5.53
5.53
5.53




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16641&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16641&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16641&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'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.014.710044901755710.000181922419430831
0.024.710282631971230.000913478828988695
0.034.710999626637410.00263168934587623
0.044.71260889210970.00577558175210202
0.054.715616011056280.0108094719866264
0.064.720564760884150.0179946446733281
0.074.727925864191080.0269458662794020
0.084.737918520600630.0363714874713988
0.094.750334017678790.0443660424981301
0.14.764474346019960.04911683393034
0.114.779271271191160.0496312206182396
0.124.793548976134320.0460628073742537
0.134.806316833173870.0395557453437196
0.144.816976365860910.0317406084581502
0.154.825384741109540.0241950850526672
0.164.831788149222230.0181271104321603
0.174.836681765499960.0143092387183281
0.184.840657639782210.0130798663448869
0.194.844281096061840.0141360876744833
0.24.848010219610610.0166761455032572
0.214.852155229653460.0199035126703476
0.224.856868022168770.023157975151988
0.234.862153072080490.0259121474122525
0.244.867893827480270.0277554751972841
0.254.873890301557210.0284410643509617
0.264.879903136041110.0279183921414013
0.274.885698140877880.0263268187586689
0.284.891084735147480.0239538364527759
0.294.895942686249850.0211786009911516
0.34.900233962861370.0184185699685265
0.314.903999586653470.0160624558774422
0.324.907344125964020.0144192068841404
0.334.910412240857890.0136888988577980
0.344.913362258451810.013868866814652
0.354.916341333058880.0147933161952356
0.364.919465722395830.0161773914071454
0.374.922808457295770.0177328998941807
0.384.926395421775820.0192021383861347
0.394.930209674318690.0203852647283461
0.44.934202748042430.0211597584057788
0.414.938310708320570.0215081665346989
0.424.94247202612160.0215004776275040
0.434.946643991606370.0212982258734074
0.444.950814574821340.0211274707357669
0.454.955007384109380.021227916223659
0.464.95927860070930.0218019163237128
0.474.963706281358960.0229581729064751
0.484.968373937750270.0246550866868356
0.494.973351516823450.0267195811951262
0.54.97867755488880.0288948245301769
0.514.984346196935560.0308719122887262
0.524.990301937760050.0323641428109546
0.534.996443490455120.0331376403719744
0.545.002636400045550.0330453550695401
0.555.008732265050990.0320779485133743
0.565.014591083657570.0303324700451698
0.575.020102594407980.0280232870878195
0.585.025202665230740.025433773211524
0.595.029881742531850.0228969122029183
0.65.03418388442520.0207303880634131
0.615.038196654490090.0191891032293468
0.625.042033818346820.0184172494145256
0.635.045814094991220.0183879821103477
0.645.049639991084040.0189250202653995
0.655.053580909974030.0197479577667171
0.665.057664285080820.0205651590122037
0.675.061877517150170.0211410332163830
0.685.066182126513780.0213330378489659
0.695.070539912233680.0211612638758590
0.75.074949148483280.0208263138657756
0.715.079486956440230.0207759033138176
0.725.084351880380420.0217442777183516
0.735.089898309706060.0246854230369404
0.745.096651968696210.0305094947400425
0.755.105294122610120.0397815491301359
0.765.116603073684460.0526173634624542
0.775.131346985296260.0685869666460882
0.785.150133429272140.0866108709477683
0.795.173237418984770.104908252713916
0.85.200446748134450.121154731764654
0.815.2309737138860.132848405539997
0.825.263477670346280.137851321784861
0.835.296219079647650.134945880119839
0.845.327326660973020.124234237245
0.855.355117954448570.107200882906831
0.865.378388248376430.086374889736781
0.875.39658802390420.06471210154472
0.885.409847427589230.0448757289885725
0.895.418864990179960.0287101922010435
0.95.424732929620530.0170460175953134
0.915.428795803118390.0100447571811889
0.925.432608014511820.00837159289960251
0.935.437950918058190.0127184009831838
0.945.446707991343520.0217875785273968
0.955.460294242856790.0333320121547783
0.965.478552837814950.0424170391582697
0.975.498756516935030.0421496934595705
0.985.516111565861710.0294045554758180
0.995.526561237000170.0110680698937715

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.71004490175571 & 0.000181922419430831 \tabularnewline
0.02 & 4.71028263197123 & 0.000913478828988695 \tabularnewline
0.03 & 4.71099962663741 & 0.00263168934587623 \tabularnewline
0.04 & 4.7126088921097 & 0.00577558175210202 \tabularnewline
0.05 & 4.71561601105628 & 0.0108094719866264 \tabularnewline
0.06 & 4.72056476088415 & 0.0179946446733281 \tabularnewline
0.07 & 4.72792586419108 & 0.0269458662794020 \tabularnewline
0.08 & 4.73791852060063 & 0.0363714874713988 \tabularnewline
0.09 & 4.75033401767879 & 0.0443660424981301 \tabularnewline
0.1 & 4.76447434601996 & 0.04911683393034 \tabularnewline
0.11 & 4.77927127119116 & 0.0496312206182396 \tabularnewline
0.12 & 4.79354897613432 & 0.0460628073742537 \tabularnewline
0.13 & 4.80631683317387 & 0.0395557453437196 \tabularnewline
0.14 & 4.81697636586091 & 0.0317406084581502 \tabularnewline
0.15 & 4.82538474110954 & 0.0241950850526672 \tabularnewline
0.16 & 4.83178814922223 & 0.0181271104321603 \tabularnewline
0.17 & 4.83668176549996 & 0.0143092387183281 \tabularnewline
0.18 & 4.84065763978221 & 0.0130798663448869 \tabularnewline
0.19 & 4.84428109606184 & 0.0141360876744833 \tabularnewline
0.2 & 4.84801021961061 & 0.0166761455032572 \tabularnewline
0.21 & 4.85215522965346 & 0.0199035126703476 \tabularnewline
0.22 & 4.85686802216877 & 0.023157975151988 \tabularnewline
0.23 & 4.86215307208049 & 0.0259121474122525 \tabularnewline
0.24 & 4.86789382748027 & 0.0277554751972841 \tabularnewline
0.25 & 4.87389030155721 & 0.0284410643509617 \tabularnewline
0.26 & 4.87990313604111 & 0.0279183921414013 \tabularnewline
0.27 & 4.88569814087788 & 0.0263268187586689 \tabularnewline
0.28 & 4.89108473514748 & 0.0239538364527759 \tabularnewline
0.29 & 4.89594268624985 & 0.0211786009911516 \tabularnewline
0.3 & 4.90023396286137 & 0.0184185699685265 \tabularnewline
0.31 & 4.90399958665347 & 0.0160624558774422 \tabularnewline
0.32 & 4.90734412596402 & 0.0144192068841404 \tabularnewline
0.33 & 4.91041224085789 & 0.0136888988577980 \tabularnewline
0.34 & 4.91336225845181 & 0.013868866814652 \tabularnewline
0.35 & 4.91634133305888 & 0.0147933161952356 \tabularnewline
0.36 & 4.91946572239583 & 0.0161773914071454 \tabularnewline
0.37 & 4.92280845729577 & 0.0177328998941807 \tabularnewline
0.38 & 4.92639542177582 & 0.0192021383861347 \tabularnewline
0.39 & 4.93020967431869 & 0.0203852647283461 \tabularnewline
0.4 & 4.93420274804243 & 0.0211597584057788 \tabularnewline
0.41 & 4.93831070832057 & 0.0215081665346989 \tabularnewline
0.42 & 4.9424720261216 & 0.0215004776275040 \tabularnewline
0.43 & 4.94664399160637 & 0.0212982258734074 \tabularnewline
0.44 & 4.95081457482134 & 0.0211274707357669 \tabularnewline
0.45 & 4.95500738410938 & 0.021227916223659 \tabularnewline
0.46 & 4.9592786007093 & 0.0218019163237128 \tabularnewline
0.47 & 4.96370628135896 & 0.0229581729064751 \tabularnewline
0.48 & 4.96837393775027 & 0.0246550866868356 \tabularnewline
0.49 & 4.97335151682345 & 0.0267195811951262 \tabularnewline
0.5 & 4.9786775548888 & 0.0288948245301769 \tabularnewline
0.51 & 4.98434619693556 & 0.0308719122887262 \tabularnewline
0.52 & 4.99030193776005 & 0.0323641428109546 \tabularnewline
0.53 & 4.99644349045512 & 0.0331376403719744 \tabularnewline
0.54 & 5.00263640004555 & 0.0330453550695401 \tabularnewline
0.55 & 5.00873226505099 & 0.0320779485133743 \tabularnewline
0.56 & 5.01459108365757 & 0.0303324700451698 \tabularnewline
0.57 & 5.02010259440798 & 0.0280232870878195 \tabularnewline
0.58 & 5.02520266523074 & 0.025433773211524 \tabularnewline
0.59 & 5.02988174253185 & 0.0228969122029183 \tabularnewline
0.6 & 5.0341838844252 & 0.0207303880634131 \tabularnewline
0.61 & 5.03819665449009 & 0.0191891032293468 \tabularnewline
0.62 & 5.04203381834682 & 0.0184172494145256 \tabularnewline
0.63 & 5.04581409499122 & 0.0183879821103477 \tabularnewline
0.64 & 5.04963999108404 & 0.0189250202653995 \tabularnewline
0.65 & 5.05358090997403 & 0.0197479577667171 \tabularnewline
0.66 & 5.05766428508082 & 0.0205651590122037 \tabularnewline
0.67 & 5.06187751715017 & 0.0211410332163830 \tabularnewline
0.68 & 5.06618212651378 & 0.0213330378489659 \tabularnewline
0.69 & 5.07053991223368 & 0.0211612638758590 \tabularnewline
0.7 & 5.07494914848328 & 0.0208263138657756 \tabularnewline
0.71 & 5.07948695644023 & 0.0207759033138176 \tabularnewline
0.72 & 5.08435188038042 & 0.0217442777183516 \tabularnewline
0.73 & 5.08989830970606 & 0.0246854230369404 \tabularnewline
0.74 & 5.09665196869621 & 0.0305094947400425 \tabularnewline
0.75 & 5.10529412261012 & 0.0397815491301359 \tabularnewline
0.76 & 5.11660307368446 & 0.0526173634624542 \tabularnewline
0.77 & 5.13134698529626 & 0.0685869666460882 \tabularnewline
0.78 & 5.15013342927214 & 0.0866108709477683 \tabularnewline
0.79 & 5.17323741898477 & 0.104908252713916 \tabularnewline
0.8 & 5.20044674813445 & 0.121154731764654 \tabularnewline
0.81 & 5.230973713886 & 0.132848405539997 \tabularnewline
0.82 & 5.26347767034628 & 0.137851321784861 \tabularnewline
0.83 & 5.29621907964765 & 0.134945880119839 \tabularnewline
0.84 & 5.32732666097302 & 0.124234237245 \tabularnewline
0.85 & 5.35511795444857 & 0.107200882906831 \tabularnewline
0.86 & 5.37838824837643 & 0.086374889736781 \tabularnewline
0.87 & 5.3965880239042 & 0.06471210154472 \tabularnewline
0.88 & 5.40984742758923 & 0.0448757289885725 \tabularnewline
0.89 & 5.41886499017996 & 0.0287101922010435 \tabularnewline
0.9 & 5.42473292962053 & 0.0170460175953134 \tabularnewline
0.91 & 5.42879580311839 & 0.0100447571811889 \tabularnewline
0.92 & 5.43260801451182 & 0.00837159289960251 \tabularnewline
0.93 & 5.43795091805819 & 0.0127184009831838 \tabularnewline
0.94 & 5.44670799134352 & 0.0217875785273968 \tabularnewline
0.95 & 5.46029424285679 & 0.0333320121547783 \tabularnewline
0.96 & 5.47855283781495 & 0.0424170391582697 \tabularnewline
0.97 & 5.49875651693503 & 0.0421496934595705 \tabularnewline
0.98 & 5.51611156586171 & 0.0294045554758180 \tabularnewline
0.99 & 5.52656123700017 & 0.0110680698937715 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16641&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]4.71004490175571[/C][C]0.000181922419430831[/C][/ROW]
[ROW][C]0.02[/C][C]4.71028263197123[/C][C]0.000913478828988695[/C][/ROW]
[ROW][C]0.03[/C][C]4.71099962663741[/C][C]0.00263168934587623[/C][/ROW]
[ROW][C]0.04[/C][C]4.7126088921097[/C][C]0.00577558175210202[/C][/ROW]
[ROW][C]0.05[/C][C]4.71561601105628[/C][C]0.0108094719866264[/C][/ROW]
[ROW][C]0.06[/C][C]4.72056476088415[/C][C]0.0179946446733281[/C][/ROW]
[ROW][C]0.07[/C][C]4.72792586419108[/C][C]0.0269458662794020[/C][/ROW]
[ROW][C]0.08[/C][C]4.73791852060063[/C][C]0.0363714874713988[/C][/ROW]
[ROW][C]0.09[/C][C]4.75033401767879[/C][C]0.0443660424981301[/C][/ROW]
[ROW][C]0.1[/C][C]4.76447434601996[/C][C]0.04911683393034[/C][/ROW]
[ROW][C]0.11[/C][C]4.77927127119116[/C][C]0.0496312206182396[/C][/ROW]
[ROW][C]0.12[/C][C]4.79354897613432[/C][C]0.0460628073742537[/C][/ROW]
[ROW][C]0.13[/C][C]4.80631683317387[/C][C]0.0395557453437196[/C][/ROW]
[ROW][C]0.14[/C][C]4.81697636586091[/C][C]0.0317406084581502[/C][/ROW]
[ROW][C]0.15[/C][C]4.82538474110954[/C][C]0.0241950850526672[/C][/ROW]
[ROW][C]0.16[/C][C]4.83178814922223[/C][C]0.0181271104321603[/C][/ROW]
[ROW][C]0.17[/C][C]4.83668176549996[/C][C]0.0143092387183281[/C][/ROW]
[ROW][C]0.18[/C][C]4.84065763978221[/C][C]0.0130798663448869[/C][/ROW]
[ROW][C]0.19[/C][C]4.84428109606184[/C][C]0.0141360876744833[/C][/ROW]
[ROW][C]0.2[/C][C]4.84801021961061[/C][C]0.0166761455032572[/C][/ROW]
[ROW][C]0.21[/C][C]4.85215522965346[/C][C]0.0199035126703476[/C][/ROW]
[ROW][C]0.22[/C][C]4.85686802216877[/C][C]0.023157975151988[/C][/ROW]
[ROW][C]0.23[/C][C]4.86215307208049[/C][C]0.0259121474122525[/C][/ROW]
[ROW][C]0.24[/C][C]4.86789382748027[/C][C]0.0277554751972841[/C][/ROW]
[ROW][C]0.25[/C][C]4.87389030155721[/C][C]0.0284410643509617[/C][/ROW]
[ROW][C]0.26[/C][C]4.87990313604111[/C][C]0.0279183921414013[/C][/ROW]
[ROW][C]0.27[/C][C]4.88569814087788[/C][C]0.0263268187586689[/C][/ROW]
[ROW][C]0.28[/C][C]4.89108473514748[/C][C]0.0239538364527759[/C][/ROW]
[ROW][C]0.29[/C][C]4.89594268624985[/C][C]0.0211786009911516[/C][/ROW]
[ROW][C]0.3[/C][C]4.90023396286137[/C][C]0.0184185699685265[/C][/ROW]
[ROW][C]0.31[/C][C]4.90399958665347[/C][C]0.0160624558774422[/C][/ROW]
[ROW][C]0.32[/C][C]4.90734412596402[/C][C]0.0144192068841404[/C][/ROW]
[ROW][C]0.33[/C][C]4.91041224085789[/C][C]0.0136888988577980[/C][/ROW]
[ROW][C]0.34[/C][C]4.91336225845181[/C][C]0.013868866814652[/C][/ROW]
[ROW][C]0.35[/C][C]4.91634133305888[/C][C]0.0147933161952356[/C][/ROW]
[ROW][C]0.36[/C][C]4.91946572239583[/C][C]0.0161773914071454[/C][/ROW]
[ROW][C]0.37[/C][C]4.92280845729577[/C][C]0.0177328998941807[/C][/ROW]
[ROW][C]0.38[/C][C]4.92639542177582[/C][C]0.0192021383861347[/C][/ROW]
[ROW][C]0.39[/C][C]4.93020967431869[/C][C]0.0203852647283461[/C][/ROW]
[ROW][C]0.4[/C][C]4.93420274804243[/C][C]0.0211597584057788[/C][/ROW]
[ROW][C]0.41[/C][C]4.93831070832057[/C][C]0.0215081665346989[/C][/ROW]
[ROW][C]0.42[/C][C]4.9424720261216[/C][C]0.0215004776275040[/C][/ROW]
[ROW][C]0.43[/C][C]4.94664399160637[/C][C]0.0212982258734074[/C][/ROW]
[ROW][C]0.44[/C][C]4.95081457482134[/C][C]0.0211274707357669[/C][/ROW]
[ROW][C]0.45[/C][C]4.95500738410938[/C][C]0.021227916223659[/C][/ROW]
[ROW][C]0.46[/C][C]4.9592786007093[/C][C]0.0218019163237128[/C][/ROW]
[ROW][C]0.47[/C][C]4.96370628135896[/C][C]0.0229581729064751[/C][/ROW]
[ROW][C]0.48[/C][C]4.96837393775027[/C][C]0.0246550866868356[/C][/ROW]
[ROW][C]0.49[/C][C]4.97335151682345[/C][C]0.0267195811951262[/C][/ROW]
[ROW][C]0.5[/C][C]4.9786775548888[/C][C]0.0288948245301769[/C][/ROW]
[ROW][C]0.51[/C][C]4.98434619693556[/C][C]0.0308719122887262[/C][/ROW]
[ROW][C]0.52[/C][C]4.99030193776005[/C][C]0.0323641428109546[/C][/ROW]
[ROW][C]0.53[/C][C]4.99644349045512[/C][C]0.0331376403719744[/C][/ROW]
[ROW][C]0.54[/C][C]5.00263640004555[/C][C]0.0330453550695401[/C][/ROW]
[ROW][C]0.55[/C][C]5.00873226505099[/C][C]0.0320779485133743[/C][/ROW]
[ROW][C]0.56[/C][C]5.01459108365757[/C][C]0.0303324700451698[/C][/ROW]
[ROW][C]0.57[/C][C]5.02010259440798[/C][C]0.0280232870878195[/C][/ROW]
[ROW][C]0.58[/C][C]5.02520266523074[/C][C]0.025433773211524[/C][/ROW]
[ROW][C]0.59[/C][C]5.02988174253185[/C][C]0.0228969122029183[/C][/ROW]
[ROW][C]0.6[/C][C]5.0341838844252[/C][C]0.0207303880634131[/C][/ROW]
[ROW][C]0.61[/C][C]5.03819665449009[/C][C]0.0191891032293468[/C][/ROW]
[ROW][C]0.62[/C][C]5.04203381834682[/C][C]0.0184172494145256[/C][/ROW]
[ROW][C]0.63[/C][C]5.04581409499122[/C][C]0.0183879821103477[/C][/ROW]
[ROW][C]0.64[/C][C]5.04963999108404[/C][C]0.0189250202653995[/C][/ROW]
[ROW][C]0.65[/C][C]5.05358090997403[/C][C]0.0197479577667171[/C][/ROW]
[ROW][C]0.66[/C][C]5.05766428508082[/C][C]0.0205651590122037[/C][/ROW]
[ROW][C]0.67[/C][C]5.06187751715017[/C][C]0.0211410332163830[/C][/ROW]
[ROW][C]0.68[/C][C]5.06618212651378[/C][C]0.0213330378489659[/C][/ROW]
[ROW][C]0.69[/C][C]5.07053991223368[/C][C]0.0211612638758590[/C][/ROW]
[ROW][C]0.7[/C][C]5.07494914848328[/C][C]0.0208263138657756[/C][/ROW]
[ROW][C]0.71[/C][C]5.07948695644023[/C][C]0.0207759033138176[/C][/ROW]
[ROW][C]0.72[/C][C]5.08435188038042[/C][C]0.0217442777183516[/C][/ROW]
[ROW][C]0.73[/C][C]5.08989830970606[/C][C]0.0246854230369404[/C][/ROW]
[ROW][C]0.74[/C][C]5.09665196869621[/C][C]0.0305094947400425[/C][/ROW]
[ROW][C]0.75[/C][C]5.10529412261012[/C][C]0.0397815491301359[/C][/ROW]
[ROW][C]0.76[/C][C]5.11660307368446[/C][C]0.0526173634624542[/C][/ROW]
[ROW][C]0.77[/C][C]5.13134698529626[/C][C]0.0685869666460882[/C][/ROW]
[ROW][C]0.78[/C][C]5.15013342927214[/C][C]0.0866108709477683[/C][/ROW]
[ROW][C]0.79[/C][C]5.17323741898477[/C][C]0.104908252713916[/C][/ROW]
[ROW][C]0.8[/C][C]5.20044674813445[/C][C]0.121154731764654[/C][/ROW]
[ROW][C]0.81[/C][C]5.230973713886[/C][C]0.132848405539997[/C][/ROW]
[ROW][C]0.82[/C][C]5.26347767034628[/C][C]0.137851321784861[/C][/ROW]
[ROW][C]0.83[/C][C]5.29621907964765[/C][C]0.134945880119839[/C][/ROW]
[ROW][C]0.84[/C][C]5.32732666097302[/C][C]0.124234237245[/C][/ROW]
[ROW][C]0.85[/C][C]5.35511795444857[/C][C]0.107200882906831[/C][/ROW]
[ROW][C]0.86[/C][C]5.37838824837643[/C][C]0.086374889736781[/C][/ROW]
[ROW][C]0.87[/C][C]5.3965880239042[/C][C]0.06471210154472[/C][/ROW]
[ROW][C]0.88[/C][C]5.40984742758923[/C][C]0.0448757289885725[/C][/ROW]
[ROW][C]0.89[/C][C]5.41886499017996[/C][C]0.0287101922010435[/C][/ROW]
[ROW][C]0.9[/C][C]5.42473292962053[/C][C]0.0170460175953134[/C][/ROW]
[ROW][C]0.91[/C][C]5.42879580311839[/C][C]0.0100447571811889[/C][/ROW]
[ROW][C]0.92[/C][C]5.43260801451182[/C][C]0.00837159289960251[/C][/ROW]
[ROW][C]0.93[/C][C]5.43795091805819[/C][C]0.0127184009831838[/C][/ROW]
[ROW][C]0.94[/C][C]5.44670799134352[/C][C]0.0217875785273968[/C][/ROW]
[ROW][C]0.95[/C][C]5.46029424285679[/C][C]0.0333320121547783[/C][/ROW]
[ROW][C]0.96[/C][C]5.47855283781495[/C][C]0.0424170391582697[/C][/ROW]
[ROW][C]0.97[/C][C]5.49875651693503[/C][C]0.0421496934595705[/C][/ROW]
[ROW][C]0.98[/C][C]5.51611156586171[/C][C]0.0294045554758180[/C][/ROW]
[ROW][C]0.99[/C][C]5.52656123700017[/C][C]0.0110680698937715[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16641&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16641&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
0.014.710044901755710.000181922419430831
0.024.710282631971230.000913478828988695
0.034.710999626637410.00263168934587623
0.044.71260889210970.00577558175210202
0.054.715616011056280.0108094719866264
0.064.720564760884150.0179946446733281
0.074.727925864191080.0269458662794020
0.084.737918520600630.0363714874713988
0.094.750334017678790.0443660424981301
0.14.764474346019960.04911683393034
0.114.779271271191160.0496312206182396
0.124.793548976134320.0460628073742537
0.134.806316833173870.0395557453437196
0.144.816976365860910.0317406084581502
0.154.825384741109540.0241950850526672
0.164.831788149222230.0181271104321603
0.174.836681765499960.0143092387183281
0.184.840657639782210.0130798663448869
0.194.844281096061840.0141360876744833
0.24.848010219610610.0166761455032572
0.214.852155229653460.0199035126703476
0.224.856868022168770.023157975151988
0.234.862153072080490.0259121474122525
0.244.867893827480270.0277554751972841
0.254.873890301557210.0284410643509617
0.264.879903136041110.0279183921414013
0.274.885698140877880.0263268187586689
0.284.891084735147480.0239538364527759
0.294.895942686249850.0211786009911516
0.34.900233962861370.0184185699685265
0.314.903999586653470.0160624558774422
0.324.907344125964020.0144192068841404
0.334.910412240857890.0136888988577980
0.344.913362258451810.013868866814652
0.354.916341333058880.0147933161952356
0.364.919465722395830.0161773914071454
0.374.922808457295770.0177328998941807
0.384.926395421775820.0192021383861347
0.394.930209674318690.0203852647283461
0.44.934202748042430.0211597584057788
0.414.938310708320570.0215081665346989
0.424.94247202612160.0215004776275040
0.434.946643991606370.0212982258734074
0.444.950814574821340.0211274707357669
0.454.955007384109380.021227916223659
0.464.95927860070930.0218019163237128
0.474.963706281358960.0229581729064751
0.484.968373937750270.0246550866868356
0.494.973351516823450.0267195811951262
0.54.97867755488880.0288948245301769
0.514.984346196935560.0308719122887262
0.524.990301937760050.0323641428109546
0.534.996443490455120.0331376403719744
0.545.002636400045550.0330453550695401
0.555.008732265050990.0320779485133743
0.565.014591083657570.0303324700451698
0.575.020102594407980.0280232870878195
0.585.025202665230740.025433773211524
0.595.029881742531850.0228969122029183
0.65.03418388442520.0207303880634131
0.615.038196654490090.0191891032293468
0.625.042033818346820.0184172494145256
0.635.045814094991220.0183879821103477
0.645.049639991084040.0189250202653995
0.655.053580909974030.0197479577667171
0.665.057664285080820.0205651590122037
0.675.061877517150170.0211410332163830
0.685.066182126513780.0213330378489659
0.695.070539912233680.0211612638758590
0.75.074949148483280.0208263138657756
0.715.079486956440230.0207759033138176
0.725.084351880380420.0217442777183516
0.735.089898309706060.0246854230369404
0.745.096651968696210.0305094947400425
0.755.105294122610120.0397815491301359
0.765.116603073684460.0526173634624542
0.775.131346985296260.0685869666460882
0.785.150133429272140.0866108709477683
0.795.173237418984770.104908252713916
0.85.200446748134450.121154731764654
0.815.2309737138860.132848405539997
0.825.263477670346280.137851321784861
0.835.296219079647650.134945880119839
0.845.327326660973020.124234237245
0.855.355117954448570.107200882906831
0.865.378388248376430.086374889736781
0.875.39658802390420.06471210154472
0.885.409847427589230.0448757289885725
0.895.418864990179960.0287101922010435
0.95.424732929620530.0170460175953134
0.915.428795803118390.0100447571811889
0.925.432608014511820.00837159289960251
0.935.437950918058190.0127184009831838
0.945.446707991343520.0217875785273968
0.955.460294242856790.0333320121547783
0.965.478552837814950.0424170391582697
0.975.498756516935030.0421496934595705
0.985.516111565861710.0294045554758180
0.995.526561237000170.0110680698937715



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')