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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 06 Aug 2015 18:43:30 +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/Aug/06/t1438883027dqqin9aioebb637.htm/, Retrieved Thu, 16 May 2024 09:50:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279886, Retrieved Thu, 16 May 2024 09:50:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126

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] [] [2015-08-06 17:43:30] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
19064.00
18993.00
18921.00
18772.00
20246.00
20168.00
19064.00
18330.00
18401.00
18401.00
18480.00
18622.00
18843.00
18843.00
18701.00
18330.00
20246.00
20538.00
20097.00
19064.00
19506.00
18843.00
19142.00
19285.00
19434.00
19064.00
19142.00
18622.00
20246.00
20759.00
20318.00
19506.00
20389.00
19434.00
20318.00
20246.00
20467.00
19655.00
20538.00
20467.00
21792.00
21493.00
20318.00
19726.00
20538.00
19434.00
20246.00
20389.00
20688.00
20026.00
20389.00
20610.00
21422.00
20759.00
19876.00
18921.00
19805.00
17375.00
18551.00
19213.00
19876.00
18921.00
18921.00
18921.00
19434.00
18701.00
17739.00
16934.00
17518.00
15238.00
16635.00
17447.00
17596.00
16784.00
16855.00
16635.00
17375.00
16855.00
15830.00
15089.00
16342.00
13621.00
15388.00
16193.00
16193.00
15238.00
14355.00
14284.00
15089.00
14355.00
12959.00
11997.00
13030.00
10601.00
12809.00
13984.00
14355.00
13543.00
12517.00
13251.00
13543.00
13322.00
11113.00
10088.00
10821.00
8613.00
10893.00
11705.00
12367.00
11263.00
10230.00
10821.00
11113.00
10529.00
8321.00
7359.00
8242.00
5813.00
8463.00
10088.00

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279886&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279886&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279886&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016694.73744445851133.67706501208
0.027663.39141201251746.834839082375
0.038308.48317134587650.025256352808
0.048793.18125350418759.059355111288
0.059244.30008330201831.966595023298
0.069668.62982527125783.750481735253
0.0710035.6736137042663.814662194192
0.0810332.7774727386549.122547952339
0.0910572.2252370779483.511314869422
0.110777.7402082411475.352051289262
0.1110972.35270656514.730733473373
0.1211172.9042503865584.266723340715
0.1311388.6579342469663.753491643198
0.1411621.6464448521734.131012683465
0.1511868.100368666781.598172432078
0.1612120.7814767171800.484289807378
0.1712371.6954152086793.56162239549
0.1812614.4087229242769.672001782516
0.1912845.3792331556740.00712470222
0.213064.1540023383714.590924782544
0.2113272.6986314149699.898094469859
0.2213474.3180066271698.194171848661
0.2313672.5999383177708.233792285581
0.2413870.650827383726.891034850213
0.2514070.7039759059750.497568205965
0.2614274.0396921003775.872539197042
0.2714481.089819051800.415080178065
0.2814691.6012957675822.169983534711
0.2914904.7788070053839.385583608366
0.315119.3852796794850.431781851121
0.3115333.8252850081853.871296309783
0.3215546.2551731646848.677638930935
0.3315754.7525269222834.761717463803
0.3415957.5451584676813.046893595958
0.3516153.2624921633785.775617115028
0.3616341.1468858982756.037388264768
0.3716521.1606901084727.395258967023
0.3816693.9478982017702.779086557383
0.3916860.6482020375684.007607262721
0.417022.6016875271671.298708900105
0.4117181.0109401462663.18586449342
0.4217336.636672562656.947503259066
0.4317489.5929640924649.222305873175
0.4417639.2836278287636.678668291445
0.4517784.4889177997616.825436878896
0.4617923.5787809773588.387708682711
0.4718054.8019172438551.529258878707
0.4818176.5851724328507.726471732262
0.4918287.779375072459.509924463387
0.518387.805679873409.767833688324
0.5118476.6856057567361.275584413657
0.5218554.9689792197316.260266372141
0.5318623.5969974305276.171757259774
0.5418683.7461059152241.649840550445
0.5518736.6917545585212.820963932718
0.5618783.7143524035189.399418302426
0.5718826.0506789591171.123861851926
0.5818864.8795784512157.740962610016
0.5918901.3244463389149.032127590403
0.618936.4562841741144.775848268239
0.6118971.2868243025144.776090203441
0.6219006.7479826064148.541981775393
0.6319043.6597189503155.434822911472
0.6419082.6930392711164.754713768259
0.6519124.338683595175.506095988953
0.6619168.8943238538186.802482670485
0.6719216.4816630013197.847023767599
0.6819267.0974007539208.166206059228
0.6919320.6888001259217.704764184887
0.719377.2299413097226.786800512583
0.7119436.7662031771235.888656222723
0.7219499.3987088231245.391164709403
0.7319565.1985815185254.975700322402
0.7419634.0668437116263.803454351564
0.7519705.5792904516270.363273716033
0.7619778.867691515272.756156067542
0.7719852.5858079461269.361110422361
0.7819924.9926739944259.048529394044
0.7919994.1595290616241.58973178768
0.820058.2731486363217.961321292788
0.8120115.9718769411190.331678005538
0.8220166.6234355481161.672603420322
0.8320210.453736493135.182117862927
0.8420248.4758356497113.54143313179
0.8520282.238614785498.2189396231033
0.8620313.481769568789.1872530849585
0.8720343.808901733985.1491390260406
0.8820374.465308847984.2691325086949
0.8920406.267250774384.7989339601429
0.920439.721330721185.5491699020569
0.9120475.389789436786.3901509689273
0.9220514.550496894288.9808639853994
0.9320560.249204920596.8881443475012
0.9420619.1925087803115.86789500441
0.9520704.9370857828157.473324593982
0.9620839.3521776445235.578701898042
0.9721042.3950785619327.001399483543
0.9821308.7775461872345.699838480132
0.9921595.2502890051281.502527911513

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6694.7374444585 & 1133.67706501208 \tabularnewline
0.02 & 7663.39141201251 & 746.834839082375 \tabularnewline
0.03 & 8308.48317134587 & 650.025256352808 \tabularnewline
0.04 & 8793.18125350418 & 759.059355111288 \tabularnewline
0.05 & 9244.30008330201 & 831.966595023298 \tabularnewline
0.06 & 9668.62982527125 & 783.750481735253 \tabularnewline
0.07 & 10035.6736137042 & 663.814662194192 \tabularnewline
0.08 & 10332.7774727386 & 549.122547952339 \tabularnewline
0.09 & 10572.2252370779 & 483.511314869422 \tabularnewline
0.1 & 10777.7402082411 & 475.352051289262 \tabularnewline
0.11 & 10972.35270656 & 514.730733473373 \tabularnewline
0.12 & 11172.9042503865 & 584.266723340715 \tabularnewline
0.13 & 11388.6579342469 & 663.753491643198 \tabularnewline
0.14 & 11621.6464448521 & 734.131012683465 \tabularnewline
0.15 & 11868.100368666 & 781.598172432078 \tabularnewline
0.16 & 12120.7814767171 & 800.484289807378 \tabularnewline
0.17 & 12371.6954152086 & 793.56162239549 \tabularnewline
0.18 & 12614.4087229242 & 769.672001782516 \tabularnewline
0.19 & 12845.3792331556 & 740.00712470222 \tabularnewline
0.2 & 13064.1540023383 & 714.590924782544 \tabularnewline
0.21 & 13272.6986314149 & 699.898094469859 \tabularnewline
0.22 & 13474.3180066271 & 698.194171848661 \tabularnewline
0.23 & 13672.5999383177 & 708.233792285581 \tabularnewline
0.24 & 13870.650827383 & 726.891034850213 \tabularnewline
0.25 & 14070.7039759059 & 750.497568205965 \tabularnewline
0.26 & 14274.0396921003 & 775.872539197042 \tabularnewline
0.27 & 14481.089819051 & 800.415080178065 \tabularnewline
0.28 & 14691.6012957675 & 822.169983534711 \tabularnewline
0.29 & 14904.7788070053 & 839.385583608366 \tabularnewline
0.3 & 15119.3852796794 & 850.431781851121 \tabularnewline
0.31 & 15333.8252850081 & 853.871296309783 \tabularnewline
0.32 & 15546.2551731646 & 848.677638930935 \tabularnewline
0.33 & 15754.7525269222 & 834.761717463803 \tabularnewline
0.34 & 15957.5451584676 & 813.046893595958 \tabularnewline
0.35 & 16153.2624921633 & 785.775617115028 \tabularnewline
0.36 & 16341.1468858982 & 756.037388264768 \tabularnewline
0.37 & 16521.1606901084 & 727.395258967023 \tabularnewline
0.38 & 16693.9478982017 & 702.779086557383 \tabularnewline
0.39 & 16860.6482020375 & 684.007607262721 \tabularnewline
0.4 & 17022.6016875271 & 671.298708900105 \tabularnewline
0.41 & 17181.0109401462 & 663.18586449342 \tabularnewline
0.42 & 17336.636672562 & 656.947503259066 \tabularnewline
0.43 & 17489.5929640924 & 649.222305873175 \tabularnewline
0.44 & 17639.2836278287 & 636.678668291445 \tabularnewline
0.45 & 17784.4889177997 & 616.825436878896 \tabularnewline
0.46 & 17923.5787809773 & 588.387708682711 \tabularnewline
0.47 & 18054.8019172438 & 551.529258878707 \tabularnewline
0.48 & 18176.5851724328 & 507.726471732262 \tabularnewline
0.49 & 18287.779375072 & 459.509924463387 \tabularnewline
0.5 & 18387.805679873 & 409.767833688324 \tabularnewline
0.51 & 18476.6856057567 & 361.275584413657 \tabularnewline
0.52 & 18554.9689792197 & 316.260266372141 \tabularnewline
0.53 & 18623.5969974305 & 276.171757259774 \tabularnewline
0.54 & 18683.7461059152 & 241.649840550445 \tabularnewline
0.55 & 18736.6917545585 & 212.820963932718 \tabularnewline
0.56 & 18783.7143524035 & 189.399418302426 \tabularnewline
0.57 & 18826.0506789591 & 171.123861851926 \tabularnewline
0.58 & 18864.8795784512 & 157.740962610016 \tabularnewline
0.59 & 18901.3244463389 & 149.032127590403 \tabularnewline
0.6 & 18936.4562841741 & 144.775848268239 \tabularnewline
0.61 & 18971.2868243025 & 144.776090203441 \tabularnewline
0.62 & 19006.7479826064 & 148.541981775393 \tabularnewline
0.63 & 19043.6597189503 & 155.434822911472 \tabularnewline
0.64 & 19082.6930392711 & 164.754713768259 \tabularnewline
0.65 & 19124.338683595 & 175.506095988953 \tabularnewline
0.66 & 19168.8943238538 & 186.802482670485 \tabularnewline
0.67 & 19216.4816630013 & 197.847023767599 \tabularnewline
0.68 & 19267.0974007539 & 208.166206059228 \tabularnewline
0.69 & 19320.6888001259 & 217.704764184887 \tabularnewline
0.7 & 19377.2299413097 & 226.786800512583 \tabularnewline
0.71 & 19436.7662031771 & 235.888656222723 \tabularnewline
0.72 & 19499.3987088231 & 245.391164709403 \tabularnewline
0.73 & 19565.1985815185 & 254.975700322402 \tabularnewline
0.74 & 19634.0668437116 & 263.803454351564 \tabularnewline
0.75 & 19705.5792904516 & 270.363273716033 \tabularnewline
0.76 & 19778.867691515 & 272.756156067542 \tabularnewline
0.77 & 19852.5858079461 & 269.361110422361 \tabularnewline
0.78 & 19924.9926739944 & 259.048529394044 \tabularnewline
0.79 & 19994.1595290616 & 241.58973178768 \tabularnewline
0.8 & 20058.2731486363 & 217.961321292788 \tabularnewline
0.81 & 20115.9718769411 & 190.331678005538 \tabularnewline
0.82 & 20166.6234355481 & 161.672603420322 \tabularnewline
0.83 & 20210.453736493 & 135.182117862927 \tabularnewline
0.84 & 20248.4758356497 & 113.54143313179 \tabularnewline
0.85 & 20282.2386147854 & 98.2189396231033 \tabularnewline
0.86 & 20313.4817695687 & 89.1872530849585 \tabularnewline
0.87 & 20343.8089017339 & 85.1491390260406 \tabularnewline
0.88 & 20374.4653088479 & 84.2691325086949 \tabularnewline
0.89 & 20406.2672507743 & 84.7989339601429 \tabularnewline
0.9 & 20439.7213307211 & 85.5491699020569 \tabularnewline
0.91 & 20475.3897894367 & 86.3901509689273 \tabularnewline
0.92 & 20514.5504968942 & 88.9808639853994 \tabularnewline
0.93 & 20560.2492049205 & 96.8881443475012 \tabularnewline
0.94 & 20619.1925087803 & 115.86789500441 \tabularnewline
0.95 & 20704.9370857828 & 157.473324593982 \tabularnewline
0.96 & 20839.3521776445 & 235.578701898042 \tabularnewline
0.97 & 21042.3950785619 & 327.001399483543 \tabularnewline
0.98 & 21308.7775461872 & 345.699838480132 \tabularnewline
0.99 & 21595.2502890051 & 281.502527911513 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279886&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]6694.7374444585[/C][C]1133.67706501208[/C][/ROW]
[ROW][C]0.02[/C][C]7663.39141201251[/C][C]746.834839082375[/C][/ROW]
[ROW][C]0.03[/C][C]8308.48317134587[/C][C]650.025256352808[/C][/ROW]
[ROW][C]0.04[/C][C]8793.18125350418[/C][C]759.059355111288[/C][/ROW]
[ROW][C]0.05[/C][C]9244.30008330201[/C][C]831.966595023298[/C][/ROW]
[ROW][C]0.06[/C][C]9668.62982527125[/C][C]783.750481735253[/C][/ROW]
[ROW][C]0.07[/C][C]10035.6736137042[/C][C]663.814662194192[/C][/ROW]
[ROW][C]0.08[/C][C]10332.7774727386[/C][C]549.122547952339[/C][/ROW]
[ROW][C]0.09[/C][C]10572.2252370779[/C][C]483.511314869422[/C][/ROW]
[ROW][C]0.1[/C][C]10777.7402082411[/C][C]475.352051289262[/C][/ROW]
[ROW][C]0.11[/C][C]10972.35270656[/C][C]514.730733473373[/C][/ROW]
[ROW][C]0.12[/C][C]11172.9042503865[/C][C]584.266723340715[/C][/ROW]
[ROW][C]0.13[/C][C]11388.6579342469[/C][C]663.753491643198[/C][/ROW]
[ROW][C]0.14[/C][C]11621.6464448521[/C][C]734.131012683465[/C][/ROW]
[ROW][C]0.15[/C][C]11868.100368666[/C][C]781.598172432078[/C][/ROW]
[ROW][C]0.16[/C][C]12120.7814767171[/C][C]800.484289807378[/C][/ROW]
[ROW][C]0.17[/C][C]12371.6954152086[/C][C]793.56162239549[/C][/ROW]
[ROW][C]0.18[/C][C]12614.4087229242[/C][C]769.672001782516[/C][/ROW]
[ROW][C]0.19[/C][C]12845.3792331556[/C][C]740.00712470222[/C][/ROW]
[ROW][C]0.2[/C][C]13064.1540023383[/C][C]714.590924782544[/C][/ROW]
[ROW][C]0.21[/C][C]13272.6986314149[/C][C]699.898094469859[/C][/ROW]
[ROW][C]0.22[/C][C]13474.3180066271[/C][C]698.194171848661[/C][/ROW]
[ROW][C]0.23[/C][C]13672.5999383177[/C][C]708.233792285581[/C][/ROW]
[ROW][C]0.24[/C][C]13870.650827383[/C][C]726.891034850213[/C][/ROW]
[ROW][C]0.25[/C][C]14070.7039759059[/C][C]750.497568205965[/C][/ROW]
[ROW][C]0.26[/C][C]14274.0396921003[/C][C]775.872539197042[/C][/ROW]
[ROW][C]0.27[/C][C]14481.089819051[/C][C]800.415080178065[/C][/ROW]
[ROW][C]0.28[/C][C]14691.6012957675[/C][C]822.169983534711[/C][/ROW]
[ROW][C]0.29[/C][C]14904.7788070053[/C][C]839.385583608366[/C][/ROW]
[ROW][C]0.3[/C][C]15119.3852796794[/C][C]850.431781851121[/C][/ROW]
[ROW][C]0.31[/C][C]15333.8252850081[/C][C]853.871296309783[/C][/ROW]
[ROW][C]0.32[/C][C]15546.2551731646[/C][C]848.677638930935[/C][/ROW]
[ROW][C]0.33[/C][C]15754.7525269222[/C][C]834.761717463803[/C][/ROW]
[ROW][C]0.34[/C][C]15957.5451584676[/C][C]813.046893595958[/C][/ROW]
[ROW][C]0.35[/C][C]16153.2624921633[/C][C]785.775617115028[/C][/ROW]
[ROW][C]0.36[/C][C]16341.1468858982[/C][C]756.037388264768[/C][/ROW]
[ROW][C]0.37[/C][C]16521.1606901084[/C][C]727.395258967023[/C][/ROW]
[ROW][C]0.38[/C][C]16693.9478982017[/C][C]702.779086557383[/C][/ROW]
[ROW][C]0.39[/C][C]16860.6482020375[/C][C]684.007607262721[/C][/ROW]
[ROW][C]0.4[/C][C]17022.6016875271[/C][C]671.298708900105[/C][/ROW]
[ROW][C]0.41[/C][C]17181.0109401462[/C][C]663.18586449342[/C][/ROW]
[ROW][C]0.42[/C][C]17336.636672562[/C][C]656.947503259066[/C][/ROW]
[ROW][C]0.43[/C][C]17489.5929640924[/C][C]649.222305873175[/C][/ROW]
[ROW][C]0.44[/C][C]17639.2836278287[/C][C]636.678668291445[/C][/ROW]
[ROW][C]0.45[/C][C]17784.4889177997[/C][C]616.825436878896[/C][/ROW]
[ROW][C]0.46[/C][C]17923.5787809773[/C][C]588.387708682711[/C][/ROW]
[ROW][C]0.47[/C][C]18054.8019172438[/C][C]551.529258878707[/C][/ROW]
[ROW][C]0.48[/C][C]18176.5851724328[/C][C]507.726471732262[/C][/ROW]
[ROW][C]0.49[/C][C]18287.779375072[/C][C]459.509924463387[/C][/ROW]
[ROW][C]0.5[/C][C]18387.805679873[/C][C]409.767833688324[/C][/ROW]
[ROW][C]0.51[/C][C]18476.6856057567[/C][C]361.275584413657[/C][/ROW]
[ROW][C]0.52[/C][C]18554.9689792197[/C][C]316.260266372141[/C][/ROW]
[ROW][C]0.53[/C][C]18623.5969974305[/C][C]276.171757259774[/C][/ROW]
[ROW][C]0.54[/C][C]18683.7461059152[/C][C]241.649840550445[/C][/ROW]
[ROW][C]0.55[/C][C]18736.6917545585[/C][C]212.820963932718[/C][/ROW]
[ROW][C]0.56[/C][C]18783.7143524035[/C][C]189.399418302426[/C][/ROW]
[ROW][C]0.57[/C][C]18826.0506789591[/C][C]171.123861851926[/C][/ROW]
[ROW][C]0.58[/C][C]18864.8795784512[/C][C]157.740962610016[/C][/ROW]
[ROW][C]0.59[/C][C]18901.3244463389[/C][C]149.032127590403[/C][/ROW]
[ROW][C]0.6[/C][C]18936.4562841741[/C][C]144.775848268239[/C][/ROW]
[ROW][C]0.61[/C][C]18971.2868243025[/C][C]144.776090203441[/C][/ROW]
[ROW][C]0.62[/C][C]19006.7479826064[/C][C]148.541981775393[/C][/ROW]
[ROW][C]0.63[/C][C]19043.6597189503[/C][C]155.434822911472[/C][/ROW]
[ROW][C]0.64[/C][C]19082.6930392711[/C][C]164.754713768259[/C][/ROW]
[ROW][C]0.65[/C][C]19124.338683595[/C][C]175.506095988953[/C][/ROW]
[ROW][C]0.66[/C][C]19168.8943238538[/C][C]186.802482670485[/C][/ROW]
[ROW][C]0.67[/C][C]19216.4816630013[/C][C]197.847023767599[/C][/ROW]
[ROW][C]0.68[/C][C]19267.0974007539[/C][C]208.166206059228[/C][/ROW]
[ROW][C]0.69[/C][C]19320.6888001259[/C][C]217.704764184887[/C][/ROW]
[ROW][C]0.7[/C][C]19377.2299413097[/C][C]226.786800512583[/C][/ROW]
[ROW][C]0.71[/C][C]19436.7662031771[/C][C]235.888656222723[/C][/ROW]
[ROW][C]0.72[/C][C]19499.3987088231[/C][C]245.391164709403[/C][/ROW]
[ROW][C]0.73[/C][C]19565.1985815185[/C][C]254.975700322402[/C][/ROW]
[ROW][C]0.74[/C][C]19634.0668437116[/C][C]263.803454351564[/C][/ROW]
[ROW][C]0.75[/C][C]19705.5792904516[/C][C]270.363273716033[/C][/ROW]
[ROW][C]0.76[/C][C]19778.867691515[/C][C]272.756156067542[/C][/ROW]
[ROW][C]0.77[/C][C]19852.5858079461[/C][C]269.361110422361[/C][/ROW]
[ROW][C]0.78[/C][C]19924.9926739944[/C][C]259.048529394044[/C][/ROW]
[ROW][C]0.79[/C][C]19994.1595290616[/C][C]241.58973178768[/C][/ROW]
[ROW][C]0.8[/C][C]20058.2731486363[/C][C]217.961321292788[/C][/ROW]
[ROW][C]0.81[/C][C]20115.9718769411[/C][C]190.331678005538[/C][/ROW]
[ROW][C]0.82[/C][C]20166.6234355481[/C][C]161.672603420322[/C][/ROW]
[ROW][C]0.83[/C][C]20210.453736493[/C][C]135.182117862927[/C][/ROW]
[ROW][C]0.84[/C][C]20248.4758356497[/C][C]113.54143313179[/C][/ROW]
[ROW][C]0.85[/C][C]20282.2386147854[/C][C]98.2189396231033[/C][/ROW]
[ROW][C]0.86[/C][C]20313.4817695687[/C][C]89.1872530849585[/C][/ROW]
[ROW][C]0.87[/C][C]20343.8089017339[/C][C]85.1491390260406[/C][/ROW]
[ROW][C]0.88[/C][C]20374.4653088479[/C][C]84.2691325086949[/C][/ROW]
[ROW][C]0.89[/C][C]20406.2672507743[/C][C]84.7989339601429[/C][/ROW]
[ROW][C]0.9[/C][C]20439.7213307211[/C][C]85.5491699020569[/C][/ROW]
[ROW][C]0.91[/C][C]20475.3897894367[/C][C]86.3901509689273[/C][/ROW]
[ROW][C]0.92[/C][C]20514.5504968942[/C][C]88.9808639853994[/C][/ROW]
[ROW][C]0.93[/C][C]20560.2492049205[/C][C]96.8881443475012[/C][/ROW]
[ROW][C]0.94[/C][C]20619.1925087803[/C][C]115.86789500441[/C][/ROW]
[ROW][C]0.95[/C][C]20704.9370857828[/C][C]157.473324593982[/C][/ROW]
[ROW][C]0.96[/C][C]20839.3521776445[/C][C]235.578701898042[/C][/ROW]
[ROW][C]0.97[/C][C]21042.3950785619[/C][C]327.001399483543[/C][/ROW]
[ROW][C]0.98[/C][C]21308.7775461872[/C][C]345.699838480132[/C][/ROW]
[ROW][C]0.99[/C][C]21595.2502890051[/C][C]281.502527911513[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279886&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279886&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
0.016694.73744445851133.67706501208
0.027663.39141201251746.834839082375
0.038308.48317134587650.025256352808
0.048793.18125350418759.059355111288
0.059244.30008330201831.966595023298
0.069668.62982527125783.750481735253
0.0710035.6736137042663.814662194192
0.0810332.7774727386549.122547952339
0.0910572.2252370779483.511314869422
0.110777.7402082411475.352051289262
0.1110972.35270656514.730733473373
0.1211172.9042503865584.266723340715
0.1311388.6579342469663.753491643198
0.1411621.6464448521734.131012683465
0.1511868.100368666781.598172432078
0.1612120.7814767171800.484289807378
0.1712371.6954152086793.56162239549
0.1812614.4087229242769.672001782516
0.1912845.3792331556740.00712470222
0.213064.1540023383714.590924782544
0.2113272.6986314149699.898094469859
0.2213474.3180066271698.194171848661
0.2313672.5999383177708.233792285581
0.2413870.650827383726.891034850213
0.2514070.7039759059750.497568205965
0.2614274.0396921003775.872539197042
0.2714481.089819051800.415080178065
0.2814691.6012957675822.169983534711
0.2914904.7788070053839.385583608366
0.315119.3852796794850.431781851121
0.3115333.8252850081853.871296309783
0.3215546.2551731646848.677638930935
0.3315754.7525269222834.761717463803
0.3415957.5451584676813.046893595958
0.3516153.2624921633785.775617115028
0.3616341.1468858982756.037388264768
0.3716521.1606901084727.395258967023
0.3816693.9478982017702.779086557383
0.3916860.6482020375684.007607262721
0.417022.6016875271671.298708900105
0.4117181.0109401462663.18586449342
0.4217336.636672562656.947503259066
0.4317489.5929640924649.222305873175
0.4417639.2836278287636.678668291445
0.4517784.4889177997616.825436878896
0.4617923.5787809773588.387708682711
0.4718054.8019172438551.529258878707
0.4818176.5851724328507.726471732262
0.4918287.779375072459.509924463387
0.518387.805679873409.767833688324
0.5118476.6856057567361.275584413657
0.5218554.9689792197316.260266372141
0.5318623.5969974305276.171757259774
0.5418683.7461059152241.649840550445
0.5518736.6917545585212.820963932718
0.5618783.7143524035189.399418302426
0.5718826.0506789591171.123861851926
0.5818864.8795784512157.740962610016
0.5918901.3244463389149.032127590403
0.618936.4562841741144.775848268239
0.6118971.2868243025144.776090203441
0.6219006.7479826064148.541981775393
0.6319043.6597189503155.434822911472
0.6419082.6930392711164.754713768259
0.6519124.338683595175.506095988953
0.6619168.8943238538186.802482670485
0.6719216.4816630013197.847023767599
0.6819267.0974007539208.166206059228
0.6919320.6888001259217.704764184887
0.719377.2299413097226.786800512583
0.7119436.7662031771235.888656222723
0.7219499.3987088231245.391164709403
0.7319565.1985815185254.975700322402
0.7419634.0668437116263.803454351564
0.7519705.5792904516270.363273716033
0.7619778.867691515272.756156067542
0.7719852.5858079461269.361110422361
0.7819924.9926739944259.048529394044
0.7919994.1595290616241.58973178768
0.820058.2731486363217.961321292788
0.8120115.9718769411190.331678005538
0.8220166.6234355481161.672603420322
0.8320210.453736493135.182117862927
0.8420248.4758356497113.54143313179
0.8520282.238614785498.2189396231033
0.8620313.481769568789.1872530849585
0.8720343.808901733985.1491390260406
0.8820374.465308847984.2691325086949
0.8920406.267250774384.7989339601429
0.920439.721330721185.5491699020569
0.9120475.389789436786.3901509689273
0.9220514.550496894288.9808639853994
0.9320560.249204920596.8881443475012
0.9420619.1925087803115.86789500441
0.9520704.9370857828157.473324593982
0.9620839.3521776445235.578701898042
0.9721042.3950785619327.001399483543
0.9821308.7775461872345.699838480132
0.9921595.2502890051281.502527911513


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')