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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 12 Oct 2011 12:45:17 -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/2011/Oct/12/t1318438244qkva6w3hsan87s1.htm/, Retrieved Fri, 10 May 2024 11:09:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128417, Retrieved Fri, 10 May 2024 11:09:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact76
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2011-10-12 16:45:17] [ded1bbd321fb25f4a0a8bacc8426c40e] [Current]
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Dataseries X:
2.98
2.98
2.98
3.03
3.07
3.08
3.08
3.08
3.08
3.08
3.08
3.08
3.08
3.08
3.12
3.15
3.15
3.15
3.15
3.16
3.19
3.20
3.20
3.20
3.21
3.21
3.21
3.21
3.21
3.28
3.30
3.30
3.30
3.30
3.30
3.30
3.30
3.45
3.49
3.50
3.54
3.64
3.67
3.67
3.68
3.68
3.68
3.68
3.70
3.83
3.87
3.87
3.87
3.87
3.87
3.87
3.87
3.87
3.87
3.88
3.88
3.88
3.88
3.88
3.88
3.89
3.89
3.91
3.95
3.99
3.99
3.99
4.00
4.00
4.00
4.00
4.00
4.00
4.00
4.00
4.06
4.07
4.07
4.07
4.07
4.07
4.30
4.44
4.52
4.52
4.52
4.53
4.53
4.53
4.53
4.53
4.53
4.53
4.53
4.61
4.63
4.63
4.63
4.63
4.63
4.63
4.63
4.63
4.63
4.63
4.66
4.73
4.73
4.72
4.7
4.74
4.74
4.74
4.76
4.88
4.88
4.88
4.88
4.89
4.97
4.97
4.97
4.97
4.97
4.97
4.97
4.97




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128417&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128417&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128417&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' @ jenkins.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.985698169154970.0148022130841979
0.023.004903760891330.0348105232352943
0.033.031990222276130.0373961581937847
0.043.055291344025250.0261440040959937
0.053.069824054407290.0142481810628633
0.063.077576715919710.0084150430269583
0.073.082559558609690.00985835626598471
0.083.087931842941270.0157764634565731
0.093.095410291095620.0232789210317306
0.13.10545056373290.0301479590137442
0.113.117592714246730.034801270619071
0.123.130906296763420.0367941317484359
0.133.144444729272420.0367095287166377
0.143.157550841917140.0355832840628356
0.153.169948408614120.0343445800882376
0.163.181687375703860.0336888239568966
0.173.193048304944420.0341989419691525
0.183.20446044459470.0363437547171497
0.193.216433753351860.0403496283770727
0.23.229497727537360.0461417715661678
0.213.244159286324640.0535678897652692
0.223.260896100256670.0626400568904525
0.233.280177209631690.0735627680208228
0.243.302472570716240.0865247690727784
0.253.328208734280480.101259275292803
0.263.357659128076020.116820845360223
0.273.390805059312570.131655649708931
0.283.427234885023020.143980341970207
0.293.466141752725290.152311895344651
0.33.506437707983520.155885545153617
0.313.546948042074260.154865100252238
0.323.586613948788250.15015356241052
0.333.624631377958710.143036325892309
0.343.660486913041250.134672298680016
0.353.693898782581870.125746509605754
0.363.724709146105660.11638724492075
0.373.752786305234440.106352519247636
0.383.777980360947060.0953914727283103
0.393.80014410768320.0835337775816314
0.43.819199584200270.0712125988702133
0.413.835213503733060.059204399703694
0.423.848446380311820.048436346701066
0.433.859355611117370.0398011657222974
0.443.868552111408230.0339831997650859
0.453.876724461451140.0312952299145893
0.463.884550154210150.0315823913364425
0.473.892611993254230.0341475385261925
0.483.901333122944180.0380608652455341
0.493.91093994433980.0423534557315607
0.53.921459079201320.0461999051481417
0.513.932751286615310.048994744684146
0.523.944580277668680.0504965643701899
0.533.956707657754130.0508925779233381
0.543.968998530600170.0508484500649406
0.553.981518112517160.0514392927179351
0.563.994599556395010.0540236285100694
0.574.008866692340030.0599547451588777
0.584.025200821301990.0702157465501127
0.594.044646671721420.0851651999527491
0.64.068259644860040.104333364958029
0.614.096906722535920.126435789051724
0.624.131048405201550.149314976966354
0.634.170546376695520.17019605729739
0.644.214553455328820.186069281052655
0.654.261538198105110.19435281818073
0.664.309469300091620.193520401501177
0.674.356138018221530.183546876686059
0.684.399545913486720.166049118178079
0.694.438252644876570.143863214893186
0.74.471582315744880.120378799950208
0.714.499630013872740.0986998745986663
0.724.523077638313430.0809520004202755
0.734.542893028282530.0678638984239645
0.744.560022539064820.0587816326870729
0.754.575180574269040.0522367113722609
0.764.588794009735090.0467818287151311
0.774.601094136361960.0416847344326165
0.784.612289939239270.0370900853921414
0.794.622727206627520.0338146418290333
0.84.632949734045990.0328290188492736
0.814.643628375623940.0344921279528277
0.824.655393140738790.0381726981544926
0.834.668663870392730.0425830078366815
0.844.683591779241930.0465644187796142
0.854.70017087551510.0497160394867563
0.864.718461086430140.0526740106580373
0.874.73874699432040.0565766116234663
0.884.761447504591930.0617987066730255
0.894.786766890520740.0670209724865159
0.94.814345071422970.0698945421643164
0.914.843240850425290.0689061366392797
0.924.872251367725750.0644966293923876
0.934.900113026795680.0578871890165292
0.944.925253820415610.0487790794426101
0.954.945618407367150.0360279851097674
0.964.959454618103840.021184963875772
0.974.966717217068430.00885126329398707
0.984.969372714745710.00222909063487062
0.994.969948361612890.000238174379780667

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.98569816915497 & 0.0148022130841979 \tabularnewline
0.02 & 3.00490376089133 & 0.0348105232352943 \tabularnewline
0.03 & 3.03199022227613 & 0.0373961581937847 \tabularnewline
0.04 & 3.05529134402525 & 0.0261440040959937 \tabularnewline
0.05 & 3.06982405440729 & 0.0142481810628633 \tabularnewline
0.06 & 3.07757671591971 & 0.0084150430269583 \tabularnewline
0.07 & 3.08255955860969 & 0.00985835626598471 \tabularnewline
0.08 & 3.08793184294127 & 0.0157764634565731 \tabularnewline
0.09 & 3.09541029109562 & 0.0232789210317306 \tabularnewline
0.1 & 3.1054505637329 & 0.0301479590137442 \tabularnewline
0.11 & 3.11759271424673 & 0.034801270619071 \tabularnewline
0.12 & 3.13090629676342 & 0.0367941317484359 \tabularnewline
0.13 & 3.14444472927242 & 0.0367095287166377 \tabularnewline
0.14 & 3.15755084191714 & 0.0355832840628356 \tabularnewline
0.15 & 3.16994840861412 & 0.0343445800882376 \tabularnewline
0.16 & 3.18168737570386 & 0.0336888239568966 \tabularnewline
0.17 & 3.19304830494442 & 0.0341989419691525 \tabularnewline
0.18 & 3.2044604445947 & 0.0363437547171497 \tabularnewline
0.19 & 3.21643375335186 & 0.0403496283770727 \tabularnewline
0.2 & 3.22949772753736 & 0.0461417715661678 \tabularnewline
0.21 & 3.24415928632464 & 0.0535678897652692 \tabularnewline
0.22 & 3.26089610025667 & 0.0626400568904525 \tabularnewline
0.23 & 3.28017720963169 & 0.0735627680208228 \tabularnewline
0.24 & 3.30247257071624 & 0.0865247690727784 \tabularnewline
0.25 & 3.32820873428048 & 0.101259275292803 \tabularnewline
0.26 & 3.35765912807602 & 0.116820845360223 \tabularnewline
0.27 & 3.39080505931257 & 0.131655649708931 \tabularnewline
0.28 & 3.42723488502302 & 0.143980341970207 \tabularnewline
0.29 & 3.46614175272529 & 0.152311895344651 \tabularnewline
0.3 & 3.50643770798352 & 0.155885545153617 \tabularnewline
0.31 & 3.54694804207426 & 0.154865100252238 \tabularnewline
0.32 & 3.58661394878825 & 0.15015356241052 \tabularnewline
0.33 & 3.62463137795871 & 0.143036325892309 \tabularnewline
0.34 & 3.66048691304125 & 0.134672298680016 \tabularnewline
0.35 & 3.69389878258187 & 0.125746509605754 \tabularnewline
0.36 & 3.72470914610566 & 0.11638724492075 \tabularnewline
0.37 & 3.75278630523444 & 0.106352519247636 \tabularnewline
0.38 & 3.77798036094706 & 0.0953914727283103 \tabularnewline
0.39 & 3.8001441076832 & 0.0835337775816314 \tabularnewline
0.4 & 3.81919958420027 & 0.0712125988702133 \tabularnewline
0.41 & 3.83521350373306 & 0.059204399703694 \tabularnewline
0.42 & 3.84844638031182 & 0.048436346701066 \tabularnewline
0.43 & 3.85935561111737 & 0.0398011657222974 \tabularnewline
0.44 & 3.86855211140823 & 0.0339831997650859 \tabularnewline
0.45 & 3.87672446145114 & 0.0312952299145893 \tabularnewline
0.46 & 3.88455015421015 & 0.0315823913364425 \tabularnewline
0.47 & 3.89261199325423 & 0.0341475385261925 \tabularnewline
0.48 & 3.90133312294418 & 0.0380608652455341 \tabularnewline
0.49 & 3.9109399443398 & 0.0423534557315607 \tabularnewline
0.5 & 3.92145907920132 & 0.0461999051481417 \tabularnewline
0.51 & 3.93275128661531 & 0.048994744684146 \tabularnewline
0.52 & 3.94458027766868 & 0.0504965643701899 \tabularnewline
0.53 & 3.95670765775413 & 0.0508925779233381 \tabularnewline
0.54 & 3.96899853060017 & 0.0508484500649406 \tabularnewline
0.55 & 3.98151811251716 & 0.0514392927179351 \tabularnewline
0.56 & 3.99459955639501 & 0.0540236285100694 \tabularnewline
0.57 & 4.00886669234003 & 0.0599547451588777 \tabularnewline
0.58 & 4.02520082130199 & 0.0702157465501127 \tabularnewline
0.59 & 4.04464667172142 & 0.0851651999527491 \tabularnewline
0.6 & 4.06825964486004 & 0.104333364958029 \tabularnewline
0.61 & 4.09690672253592 & 0.126435789051724 \tabularnewline
0.62 & 4.13104840520155 & 0.149314976966354 \tabularnewline
0.63 & 4.17054637669552 & 0.17019605729739 \tabularnewline
0.64 & 4.21455345532882 & 0.186069281052655 \tabularnewline
0.65 & 4.26153819810511 & 0.19435281818073 \tabularnewline
0.66 & 4.30946930009162 & 0.193520401501177 \tabularnewline
0.67 & 4.35613801822153 & 0.183546876686059 \tabularnewline
0.68 & 4.39954591348672 & 0.166049118178079 \tabularnewline
0.69 & 4.43825264487657 & 0.143863214893186 \tabularnewline
0.7 & 4.47158231574488 & 0.120378799950208 \tabularnewline
0.71 & 4.49963001387274 & 0.0986998745986663 \tabularnewline
0.72 & 4.52307763831343 & 0.0809520004202755 \tabularnewline
0.73 & 4.54289302828253 & 0.0678638984239645 \tabularnewline
0.74 & 4.56002253906482 & 0.0587816326870729 \tabularnewline
0.75 & 4.57518057426904 & 0.0522367113722609 \tabularnewline
0.76 & 4.58879400973509 & 0.0467818287151311 \tabularnewline
0.77 & 4.60109413636196 & 0.0416847344326165 \tabularnewline
0.78 & 4.61228993923927 & 0.0370900853921414 \tabularnewline
0.79 & 4.62272720662752 & 0.0338146418290333 \tabularnewline
0.8 & 4.63294973404599 & 0.0328290188492736 \tabularnewline
0.81 & 4.64362837562394 & 0.0344921279528277 \tabularnewline
0.82 & 4.65539314073879 & 0.0381726981544926 \tabularnewline
0.83 & 4.66866387039273 & 0.0425830078366815 \tabularnewline
0.84 & 4.68359177924193 & 0.0465644187796142 \tabularnewline
0.85 & 4.7001708755151 & 0.0497160394867563 \tabularnewline
0.86 & 4.71846108643014 & 0.0526740106580373 \tabularnewline
0.87 & 4.7387469943204 & 0.0565766116234663 \tabularnewline
0.88 & 4.76144750459193 & 0.0617987066730255 \tabularnewline
0.89 & 4.78676689052074 & 0.0670209724865159 \tabularnewline
0.9 & 4.81434507142297 & 0.0698945421643164 \tabularnewline
0.91 & 4.84324085042529 & 0.0689061366392797 \tabularnewline
0.92 & 4.87225136772575 & 0.0644966293923876 \tabularnewline
0.93 & 4.90011302679568 & 0.0578871890165292 \tabularnewline
0.94 & 4.92525382041561 & 0.0487790794426101 \tabularnewline
0.95 & 4.94561840736715 & 0.0360279851097674 \tabularnewline
0.96 & 4.95945461810384 & 0.021184963875772 \tabularnewline
0.97 & 4.96671721706843 & 0.00885126329398707 \tabularnewline
0.98 & 4.96937271474571 & 0.00222909063487062 \tabularnewline
0.99 & 4.96994836161289 & 0.000238174379780667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128417&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]2.98569816915497[/C][C]0.0148022130841979[/C][/ROW]
[ROW][C]0.02[/C][C]3.00490376089133[/C][C]0.0348105232352943[/C][/ROW]
[ROW][C]0.03[/C][C]3.03199022227613[/C][C]0.0373961581937847[/C][/ROW]
[ROW][C]0.04[/C][C]3.05529134402525[/C][C]0.0261440040959937[/C][/ROW]
[ROW][C]0.05[/C][C]3.06982405440729[/C][C]0.0142481810628633[/C][/ROW]
[ROW][C]0.06[/C][C]3.07757671591971[/C][C]0.0084150430269583[/C][/ROW]
[ROW][C]0.07[/C][C]3.08255955860969[/C][C]0.00985835626598471[/C][/ROW]
[ROW][C]0.08[/C][C]3.08793184294127[/C][C]0.0157764634565731[/C][/ROW]
[ROW][C]0.09[/C][C]3.09541029109562[/C][C]0.0232789210317306[/C][/ROW]
[ROW][C]0.1[/C][C]3.1054505637329[/C][C]0.0301479590137442[/C][/ROW]
[ROW][C]0.11[/C][C]3.11759271424673[/C][C]0.034801270619071[/C][/ROW]
[ROW][C]0.12[/C][C]3.13090629676342[/C][C]0.0367941317484359[/C][/ROW]
[ROW][C]0.13[/C][C]3.14444472927242[/C][C]0.0367095287166377[/C][/ROW]
[ROW][C]0.14[/C][C]3.15755084191714[/C][C]0.0355832840628356[/C][/ROW]
[ROW][C]0.15[/C][C]3.16994840861412[/C][C]0.0343445800882376[/C][/ROW]
[ROW][C]0.16[/C][C]3.18168737570386[/C][C]0.0336888239568966[/C][/ROW]
[ROW][C]0.17[/C][C]3.19304830494442[/C][C]0.0341989419691525[/C][/ROW]
[ROW][C]0.18[/C][C]3.2044604445947[/C][C]0.0363437547171497[/C][/ROW]
[ROW][C]0.19[/C][C]3.21643375335186[/C][C]0.0403496283770727[/C][/ROW]
[ROW][C]0.2[/C][C]3.22949772753736[/C][C]0.0461417715661678[/C][/ROW]
[ROW][C]0.21[/C][C]3.24415928632464[/C][C]0.0535678897652692[/C][/ROW]
[ROW][C]0.22[/C][C]3.26089610025667[/C][C]0.0626400568904525[/C][/ROW]
[ROW][C]0.23[/C][C]3.28017720963169[/C][C]0.0735627680208228[/C][/ROW]
[ROW][C]0.24[/C][C]3.30247257071624[/C][C]0.0865247690727784[/C][/ROW]
[ROW][C]0.25[/C][C]3.32820873428048[/C][C]0.101259275292803[/C][/ROW]
[ROW][C]0.26[/C][C]3.35765912807602[/C][C]0.116820845360223[/C][/ROW]
[ROW][C]0.27[/C][C]3.39080505931257[/C][C]0.131655649708931[/C][/ROW]
[ROW][C]0.28[/C][C]3.42723488502302[/C][C]0.143980341970207[/C][/ROW]
[ROW][C]0.29[/C][C]3.46614175272529[/C][C]0.152311895344651[/C][/ROW]
[ROW][C]0.3[/C][C]3.50643770798352[/C][C]0.155885545153617[/C][/ROW]
[ROW][C]0.31[/C][C]3.54694804207426[/C][C]0.154865100252238[/C][/ROW]
[ROW][C]0.32[/C][C]3.58661394878825[/C][C]0.15015356241052[/C][/ROW]
[ROW][C]0.33[/C][C]3.62463137795871[/C][C]0.143036325892309[/C][/ROW]
[ROW][C]0.34[/C][C]3.66048691304125[/C][C]0.134672298680016[/C][/ROW]
[ROW][C]0.35[/C][C]3.69389878258187[/C][C]0.125746509605754[/C][/ROW]
[ROW][C]0.36[/C][C]3.72470914610566[/C][C]0.11638724492075[/C][/ROW]
[ROW][C]0.37[/C][C]3.75278630523444[/C][C]0.106352519247636[/C][/ROW]
[ROW][C]0.38[/C][C]3.77798036094706[/C][C]0.0953914727283103[/C][/ROW]
[ROW][C]0.39[/C][C]3.8001441076832[/C][C]0.0835337775816314[/C][/ROW]
[ROW][C]0.4[/C][C]3.81919958420027[/C][C]0.0712125988702133[/C][/ROW]
[ROW][C]0.41[/C][C]3.83521350373306[/C][C]0.059204399703694[/C][/ROW]
[ROW][C]0.42[/C][C]3.84844638031182[/C][C]0.048436346701066[/C][/ROW]
[ROW][C]0.43[/C][C]3.85935561111737[/C][C]0.0398011657222974[/C][/ROW]
[ROW][C]0.44[/C][C]3.86855211140823[/C][C]0.0339831997650859[/C][/ROW]
[ROW][C]0.45[/C][C]3.87672446145114[/C][C]0.0312952299145893[/C][/ROW]
[ROW][C]0.46[/C][C]3.88455015421015[/C][C]0.0315823913364425[/C][/ROW]
[ROW][C]0.47[/C][C]3.89261199325423[/C][C]0.0341475385261925[/C][/ROW]
[ROW][C]0.48[/C][C]3.90133312294418[/C][C]0.0380608652455341[/C][/ROW]
[ROW][C]0.49[/C][C]3.9109399443398[/C][C]0.0423534557315607[/C][/ROW]
[ROW][C]0.5[/C][C]3.92145907920132[/C][C]0.0461999051481417[/C][/ROW]
[ROW][C]0.51[/C][C]3.93275128661531[/C][C]0.048994744684146[/C][/ROW]
[ROW][C]0.52[/C][C]3.94458027766868[/C][C]0.0504965643701899[/C][/ROW]
[ROW][C]0.53[/C][C]3.95670765775413[/C][C]0.0508925779233381[/C][/ROW]
[ROW][C]0.54[/C][C]3.96899853060017[/C][C]0.0508484500649406[/C][/ROW]
[ROW][C]0.55[/C][C]3.98151811251716[/C][C]0.0514392927179351[/C][/ROW]
[ROW][C]0.56[/C][C]3.99459955639501[/C][C]0.0540236285100694[/C][/ROW]
[ROW][C]0.57[/C][C]4.00886669234003[/C][C]0.0599547451588777[/C][/ROW]
[ROW][C]0.58[/C][C]4.02520082130199[/C][C]0.0702157465501127[/C][/ROW]
[ROW][C]0.59[/C][C]4.04464667172142[/C][C]0.0851651999527491[/C][/ROW]
[ROW][C]0.6[/C][C]4.06825964486004[/C][C]0.104333364958029[/C][/ROW]
[ROW][C]0.61[/C][C]4.09690672253592[/C][C]0.126435789051724[/C][/ROW]
[ROW][C]0.62[/C][C]4.13104840520155[/C][C]0.149314976966354[/C][/ROW]
[ROW][C]0.63[/C][C]4.17054637669552[/C][C]0.17019605729739[/C][/ROW]
[ROW][C]0.64[/C][C]4.21455345532882[/C][C]0.186069281052655[/C][/ROW]
[ROW][C]0.65[/C][C]4.26153819810511[/C][C]0.19435281818073[/C][/ROW]
[ROW][C]0.66[/C][C]4.30946930009162[/C][C]0.193520401501177[/C][/ROW]
[ROW][C]0.67[/C][C]4.35613801822153[/C][C]0.183546876686059[/C][/ROW]
[ROW][C]0.68[/C][C]4.39954591348672[/C][C]0.166049118178079[/C][/ROW]
[ROW][C]0.69[/C][C]4.43825264487657[/C][C]0.143863214893186[/C][/ROW]
[ROW][C]0.7[/C][C]4.47158231574488[/C][C]0.120378799950208[/C][/ROW]
[ROW][C]0.71[/C][C]4.49963001387274[/C][C]0.0986998745986663[/C][/ROW]
[ROW][C]0.72[/C][C]4.52307763831343[/C][C]0.0809520004202755[/C][/ROW]
[ROW][C]0.73[/C][C]4.54289302828253[/C][C]0.0678638984239645[/C][/ROW]
[ROW][C]0.74[/C][C]4.56002253906482[/C][C]0.0587816326870729[/C][/ROW]
[ROW][C]0.75[/C][C]4.57518057426904[/C][C]0.0522367113722609[/C][/ROW]
[ROW][C]0.76[/C][C]4.58879400973509[/C][C]0.0467818287151311[/C][/ROW]
[ROW][C]0.77[/C][C]4.60109413636196[/C][C]0.0416847344326165[/C][/ROW]
[ROW][C]0.78[/C][C]4.61228993923927[/C][C]0.0370900853921414[/C][/ROW]
[ROW][C]0.79[/C][C]4.62272720662752[/C][C]0.0338146418290333[/C][/ROW]
[ROW][C]0.8[/C][C]4.63294973404599[/C][C]0.0328290188492736[/C][/ROW]
[ROW][C]0.81[/C][C]4.64362837562394[/C][C]0.0344921279528277[/C][/ROW]
[ROW][C]0.82[/C][C]4.65539314073879[/C][C]0.0381726981544926[/C][/ROW]
[ROW][C]0.83[/C][C]4.66866387039273[/C][C]0.0425830078366815[/C][/ROW]
[ROW][C]0.84[/C][C]4.68359177924193[/C][C]0.0465644187796142[/C][/ROW]
[ROW][C]0.85[/C][C]4.7001708755151[/C][C]0.0497160394867563[/C][/ROW]
[ROW][C]0.86[/C][C]4.71846108643014[/C][C]0.0526740106580373[/C][/ROW]
[ROW][C]0.87[/C][C]4.7387469943204[/C][C]0.0565766116234663[/C][/ROW]
[ROW][C]0.88[/C][C]4.76144750459193[/C][C]0.0617987066730255[/C][/ROW]
[ROW][C]0.89[/C][C]4.78676689052074[/C][C]0.0670209724865159[/C][/ROW]
[ROW][C]0.9[/C][C]4.81434507142297[/C][C]0.0698945421643164[/C][/ROW]
[ROW][C]0.91[/C][C]4.84324085042529[/C][C]0.0689061366392797[/C][/ROW]
[ROW][C]0.92[/C][C]4.87225136772575[/C][C]0.0644966293923876[/C][/ROW]
[ROW][C]0.93[/C][C]4.90011302679568[/C][C]0.0578871890165292[/C][/ROW]
[ROW][C]0.94[/C][C]4.92525382041561[/C][C]0.0487790794426101[/C][/ROW]
[ROW][C]0.95[/C][C]4.94561840736715[/C][C]0.0360279851097674[/C][/ROW]
[ROW][C]0.96[/C][C]4.95945461810384[/C][C]0.021184963875772[/C][/ROW]
[ROW][C]0.97[/C][C]4.96671721706843[/C][C]0.00885126329398707[/C][/ROW]
[ROW][C]0.98[/C][C]4.96937271474571[/C][C]0.00222909063487062[/C][/ROW]
[ROW][C]0.99[/C][C]4.96994836161289[/C][C]0.000238174379780667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128417&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128417&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
0.012.985698169154970.0148022130841979
0.023.004903760891330.0348105232352943
0.033.031990222276130.0373961581937847
0.043.055291344025250.0261440040959937
0.053.069824054407290.0142481810628633
0.063.077576715919710.0084150430269583
0.073.082559558609690.00985835626598471
0.083.087931842941270.0157764634565731
0.093.095410291095620.0232789210317306
0.13.10545056373290.0301479590137442
0.113.117592714246730.034801270619071
0.123.130906296763420.0367941317484359
0.133.144444729272420.0367095287166377
0.143.157550841917140.0355832840628356
0.153.169948408614120.0343445800882376
0.163.181687375703860.0336888239568966
0.173.193048304944420.0341989419691525
0.183.20446044459470.0363437547171497
0.193.216433753351860.0403496283770727
0.23.229497727537360.0461417715661678
0.213.244159286324640.0535678897652692
0.223.260896100256670.0626400568904525
0.233.280177209631690.0735627680208228
0.243.302472570716240.0865247690727784
0.253.328208734280480.101259275292803
0.263.357659128076020.116820845360223
0.273.390805059312570.131655649708931
0.283.427234885023020.143980341970207
0.293.466141752725290.152311895344651
0.33.506437707983520.155885545153617
0.313.546948042074260.154865100252238
0.323.586613948788250.15015356241052
0.333.624631377958710.143036325892309
0.343.660486913041250.134672298680016
0.353.693898782581870.125746509605754
0.363.724709146105660.11638724492075
0.373.752786305234440.106352519247636
0.383.777980360947060.0953914727283103
0.393.80014410768320.0835337775816314
0.43.819199584200270.0712125988702133
0.413.835213503733060.059204399703694
0.423.848446380311820.048436346701066
0.433.859355611117370.0398011657222974
0.443.868552111408230.0339831997650859
0.453.876724461451140.0312952299145893
0.463.884550154210150.0315823913364425
0.473.892611993254230.0341475385261925
0.483.901333122944180.0380608652455341
0.493.91093994433980.0423534557315607
0.53.921459079201320.0461999051481417
0.513.932751286615310.048994744684146
0.523.944580277668680.0504965643701899
0.533.956707657754130.0508925779233381
0.543.968998530600170.0508484500649406
0.553.981518112517160.0514392927179351
0.563.994599556395010.0540236285100694
0.574.008866692340030.0599547451588777
0.584.025200821301990.0702157465501127
0.594.044646671721420.0851651999527491
0.64.068259644860040.104333364958029
0.614.096906722535920.126435789051724
0.624.131048405201550.149314976966354
0.634.170546376695520.17019605729739
0.644.214553455328820.186069281052655
0.654.261538198105110.19435281818073
0.664.309469300091620.193520401501177
0.674.356138018221530.183546876686059
0.684.399545913486720.166049118178079
0.694.438252644876570.143863214893186
0.74.471582315744880.120378799950208
0.714.499630013872740.0986998745986663
0.724.523077638313430.0809520004202755
0.734.542893028282530.0678638984239645
0.744.560022539064820.0587816326870729
0.754.575180574269040.0522367113722609
0.764.588794009735090.0467818287151311
0.774.601094136361960.0416847344326165
0.784.612289939239270.0370900853921414
0.794.622727206627520.0338146418290333
0.84.632949734045990.0328290188492736
0.814.643628375623940.0344921279528277
0.824.655393140738790.0381726981544926
0.834.668663870392730.0425830078366815
0.844.683591779241930.0465644187796142
0.854.70017087551510.0497160394867563
0.864.718461086430140.0526740106580373
0.874.73874699432040.0565766116234663
0.884.761447504591930.0617987066730255
0.894.786766890520740.0670209724865159
0.94.814345071422970.0698945421643164
0.914.843240850425290.0689061366392797
0.924.872251367725750.0644966293923876
0.934.900113026795680.0578871890165292
0.944.925253820415610.0487790794426101
0.954.945618407367150.0360279851097674
0.964.959454618103840.021184963875772
0.974.966717217068430.00885126329398707
0.984.969372714745710.00222909063487062
0.994.969948361612890.000238174379780667



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')