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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, 08 Oct 2015 13:17:01 +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/Oct/08/t1444306755tgzjvlm7h1bq5kk.htm/, Retrieved Sat, 18 May 2024 19:21:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281439, Retrieved Sat, 18 May 2024 19:21:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact91

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] [Percentielen alco...] [2015-10-08 12:17:01] [4bedbbf2e5251222bc39a0f973d05821] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
89.56
89.84
89.97
90.65
91.17
91.35
91.41
91.55
91.63
91.54
91.74
91.87
92.13
92.14
92.05
92
92.51
92.67
92.68
92.77
92.85
92.71
92.73
92.28
92.49
92.46
92.55
92.24
92.41
92.83
92.85
93.04
93.04
92.83
92.96
92.83
93.01
93.21
93.58
94.07
94.57
95.03
95.21
95.89
96.43
96.35
96.71
96.32
97.23
97.88
98.2
98.56
99.31
99.69
99.77
101.06
101.77
101.91
102.52
102.09
102.22
102.74
103.56
104.4
104.76
104.86
104.84
104.96
104.83
104.58
104.8
104.17

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281439&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281439&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281439&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0189.66223973795710.284065913595923
0.0289.83980186479680.362714412132318
0.0390.06324658291090.481126761541083
0.0490.31022991593110.565080272026018
0.0590.56049889599010.581433089700764
0.0690.79474687970490.538403608600329
0.0790.99911019507090.463364887052656
0.0891.16817388868140.383687023669661
0.0991.30404402817650.31738009692286
0.191.41319588894990.272065404068951
0.1191.50331256816930.247232020025835
0.1291.58121104414750.237736296906538
0.1391.65194102157280.23719913140776
0.1491.71869954942460.24024456391246
0.1591.78316496617050.243343872132489
0.1691.84596753563130.244376335670495
0.1791.90713657571430.243061594512811
0.1891.96644979941160.23933336079792
0.1992.0236624285630.234404685676737
0.292.07862405101390.228819851897084
0.2192.13130848966730.223078828544946
0.2292.1817893324290.217874948841762
0.2392.2301926789510.212871021290433
0.2492.27665125300570.208070139086887
0.2592.32127357507940.203130594808491
0.2692.36413184191080.197848201133199
0.2792.40526504330560.192283469511628
0.2892.4446906557440.186337717860235
0.2992.48241852747930.180027383194878
0.392.51846295377050.173635447241806
0.3192.55285187962560.167129859696133
0.3292.58563446868430.160619097861747
0.3392.61688937548070.15440926732131
0.3492.64673598636190.148633353350273
0.3592.67535005711760.143658169718133
0.3692.70298407249890.139785397881131
0.3792.72999165971210.137966170475442
0.3892.75685465646880.138951303019346
0.3992.78421091098870.143932174105122
0.492.81288041406350.153930841860987
0.4192.84388678129620.170495514909763
0.4292.87847037997180.194851744587628
0.4392.91808866163370.228289867710961
0.4492.96439881541760.271721576789468
0.4593.01921809699820.325720154680152
0.4693.08445849925530.390619778370561
0.4793.16203504403350.466143605176036
0.4893.25375083126150.551000986581446
0.4993.36116665381470.643550810007369
0.593.48546768694830.740757063222557
0.5193.62734346610780.839844192112273
0.5293.78689903189810.937010608939548
0.5393.9636139415651.02846742396771
0.5494.15636149534841.11092884372496
0.5594.3634933004741.1815515921543
0.5694.58298513150981.23867071583168
0.5794.81263039357051.28177842961332
0.5895.05025907700881.31164386224916
0.5995.29395458731741.33042364595329
0.695.54223953515151.34124170710334
0.6195.79420507362871.34786176452919
0.6296.04956634603741.35410023485418
0.6396.30863774060071.36347707139816
0.6496.57223379261021.37854824654054
0.6596.84151216586311.40059919252338
0.6697.11778184740711.42977688366278
0.6797.40230111614161.46486235842928
0.6897.69608614840341.50373959222899
0.6997.99974417131121.54375163204096
0.798.31333802757451.58172468147114
0.7198.63628527091561.61440486498945
0.7298.96729665892641.63824732724267
0.7399.30436578820441.65010454076486
0.7499.64483009034141.64662376839966
0.7599.98552739648731.62562403959785
0.76100.3230651888811.58586202669772
0.77100.654197402641.52836455289475
0.78100.9762676441551.45649184926102
0.79101.2876365364121.37571005311424
0.8101.5879794174211.29381124303958
0.81101.8783359125431.21869432949028
0.82102.160827929151.1568573551731
0.83102.4380391242441.11112919660288
0.84102.7121524528251.07887719084742
0.85102.9840425827451.05234558568984
0.86103.2525776571671.02059801104303
0.87103.5143666222050.973258963154982
0.88103.764083499010.902933488364318
0.89103.995333043720.807933580254723
0.9104.2018507895970.692171059813597
0.91104.3787244283370.564332983052844
0.92104.5233321130330.43547437671233
0.93104.6358179536270.316191642613794
0.94104.7191149844330.214765377091315
0.95104.7786879452240.136203787969706
0.96104.822144807340.0827780271955488
0.97104.8583938280490.0565492840404603
0.98104.8950343534710.0590992336619512
0.99104.932666223440.0795526707945818
1104.96NA

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 89.6622397379571 & 0.284065913595923 \tabularnewline
0.02 & 89.8398018647968 & 0.362714412132318 \tabularnewline
0.03 & 90.0632465829109 & 0.481126761541083 \tabularnewline
0.04 & 90.3102299159311 & 0.565080272026018 \tabularnewline
0.05 & 90.5604988959901 & 0.581433089700764 \tabularnewline
0.06 & 90.7947468797049 & 0.538403608600329 \tabularnewline
0.07 & 90.9991101950709 & 0.463364887052656 \tabularnewline
0.08 & 91.1681738886814 & 0.383687023669661 \tabularnewline
0.09 & 91.3040440281765 & 0.31738009692286 \tabularnewline
0.1 & 91.4131958889499 & 0.272065404068951 \tabularnewline
0.11 & 91.5033125681693 & 0.247232020025835 \tabularnewline
0.12 & 91.5812110441475 & 0.237736296906538 \tabularnewline
0.13 & 91.6519410215728 & 0.23719913140776 \tabularnewline
0.14 & 91.7186995494246 & 0.24024456391246 \tabularnewline
0.15 & 91.7831649661705 & 0.243343872132489 \tabularnewline
0.16 & 91.8459675356313 & 0.244376335670495 \tabularnewline
0.17 & 91.9071365757143 & 0.243061594512811 \tabularnewline
0.18 & 91.9664497994116 & 0.23933336079792 \tabularnewline
0.19 & 92.023662428563 & 0.234404685676737 \tabularnewline
0.2 & 92.0786240510139 & 0.228819851897084 \tabularnewline
0.21 & 92.1313084896673 & 0.223078828544946 \tabularnewline
0.22 & 92.181789332429 & 0.217874948841762 \tabularnewline
0.23 & 92.230192678951 & 0.212871021290433 \tabularnewline
0.24 & 92.2766512530057 & 0.208070139086887 \tabularnewline
0.25 & 92.3212735750794 & 0.203130594808491 \tabularnewline
0.26 & 92.3641318419108 & 0.197848201133199 \tabularnewline
0.27 & 92.4052650433056 & 0.192283469511628 \tabularnewline
0.28 & 92.444690655744 & 0.186337717860235 \tabularnewline
0.29 & 92.4824185274793 & 0.180027383194878 \tabularnewline
0.3 & 92.5184629537705 & 0.173635447241806 \tabularnewline
0.31 & 92.5528518796256 & 0.167129859696133 \tabularnewline
0.32 & 92.5856344686843 & 0.160619097861747 \tabularnewline
0.33 & 92.6168893754807 & 0.15440926732131 \tabularnewline
0.34 & 92.6467359863619 & 0.148633353350273 \tabularnewline
0.35 & 92.6753500571176 & 0.143658169718133 \tabularnewline
0.36 & 92.7029840724989 & 0.139785397881131 \tabularnewline
0.37 & 92.7299916597121 & 0.137966170475442 \tabularnewline
0.38 & 92.7568546564688 & 0.138951303019346 \tabularnewline
0.39 & 92.7842109109887 & 0.143932174105122 \tabularnewline
0.4 & 92.8128804140635 & 0.153930841860987 \tabularnewline
0.41 & 92.8438867812962 & 0.170495514909763 \tabularnewline
0.42 & 92.8784703799718 & 0.194851744587628 \tabularnewline
0.43 & 92.9180886616337 & 0.228289867710961 \tabularnewline
0.44 & 92.9643988154176 & 0.271721576789468 \tabularnewline
0.45 & 93.0192180969982 & 0.325720154680152 \tabularnewline
0.46 & 93.0844584992553 & 0.390619778370561 \tabularnewline
0.47 & 93.1620350440335 & 0.466143605176036 \tabularnewline
0.48 & 93.2537508312615 & 0.551000986581446 \tabularnewline
0.49 & 93.3611666538147 & 0.643550810007369 \tabularnewline
0.5 & 93.4854676869483 & 0.740757063222557 \tabularnewline
0.51 & 93.6273434661078 & 0.839844192112273 \tabularnewline
0.52 & 93.7868990318981 & 0.937010608939548 \tabularnewline
0.53 & 93.963613941565 & 1.02846742396771 \tabularnewline
0.54 & 94.1563614953484 & 1.11092884372496 \tabularnewline
0.55 & 94.363493300474 & 1.1815515921543 \tabularnewline
0.56 & 94.5829851315098 & 1.23867071583168 \tabularnewline
0.57 & 94.8126303935705 & 1.28177842961332 \tabularnewline
0.58 & 95.0502590770088 & 1.31164386224916 \tabularnewline
0.59 & 95.2939545873174 & 1.33042364595329 \tabularnewline
0.6 & 95.5422395351515 & 1.34124170710334 \tabularnewline
0.61 & 95.7942050736287 & 1.34786176452919 \tabularnewline
0.62 & 96.0495663460374 & 1.35410023485418 \tabularnewline
0.63 & 96.3086377406007 & 1.36347707139816 \tabularnewline
0.64 & 96.5722337926102 & 1.37854824654054 \tabularnewline
0.65 & 96.8415121658631 & 1.40059919252338 \tabularnewline
0.66 & 97.1177818474071 & 1.42977688366278 \tabularnewline
0.67 & 97.4023011161416 & 1.46486235842928 \tabularnewline
0.68 & 97.6960861484034 & 1.50373959222899 \tabularnewline
0.69 & 97.9997441713112 & 1.54375163204096 \tabularnewline
0.7 & 98.3133380275745 & 1.58172468147114 \tabularnewline
0.71 & 98.6362852709156 & 1.61440486498945 \tabularnewline
0.72 & 98.9672966589264 & 1.63824732724267 \tabularnewline
0.73 & 99.3043657882044 & 1.65010454076486 \tabularnewline
0.74 & 99.6448300903414 & 1.64662376839966 \tabularnewline
0.75 & 99.9855273964873 & 1.62562403959785 \tabularnewline
0.76 & 100.323065188881 & 1.58586202669772 \tabularnewline
0.77 & 100.65419740264 & 1.52836455289475 \tabularnewline
0.78 & 100.976267644155 & 1.45649184926102 \tabularnewline
0.79 & 101.287636536412 & 1.37571005311424 \tabularnewline
0.8 & 101.587979417421 & 1.29381124303958 \tabularnewline
0.81 & 101.878335912543 & 1.21869432949028 \tabularnewline
0.82 & 102.16082792915 & 1.1568573551731 \tabularnewline
0.83 & 102.438039124244 & 1.11112919660288 \tabularnewline
0.84 & 102.712152452825 & 1.07887719084742 \tabularnewline
0.85 & 102.984042582745 & 1.05234558568984 \tabularnewline
0.86 & 103.252577657167 & 1.02059801104303 \tabularnewline
0.87 & 103.514366622205 & 0.973258963154982 \tabularnewline
0.88 & 103.76408349901 & 0.902933488364318 \tabularnewline
0.89 & 103.99533304372 & 0.807933580254723 \tabularnewline
0.9 & 104.201850789597 & 0.692171059813597 \tabularnewline
0.91 & 104.378724428337 & 0.564332983052844 \tabularnewline
0.92 & 104.523332113033 & 0.43547437671233 \tabularnewline
0.93 & 104.635817953627 & 0.316191642613794 \tabularnewline
0.94 & 104.719114984433 & 0.214765377091315 \tabularnewline
0.95 & 104.778687945224 & 0.136203787969706 \tabularnewline
0.96 & 104.82214480734 & 0.0827780271955488 \tabularnewline
0.97 & 104.858393828049 & 0.0565492840404603 \tabularnewline
0.98 & 104.895034353471 & 0.0590992336619512 \tabularnewline
0.99 & 104.93266622344 & 0.0795526707945818 \tabularnewline
1 & 104.96 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281439&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]89.6622397379571[/C][C]0.284065913595923[/C][/ROW]
[ROW][C]0.02[/C][C]89.8398018647968[/C][C]0.362714412132318[/C][/ROW]
[ROW][C]0.03[/C][C]90.0632465829109[/C][C]0.481126761541083[/C][/ROW]
[ROW][C]0.04[/C][C]90.3102299159311[/C][C]0.565080272026018[/C][/ROW]
[ROW][C]0.05[/C][C]90.5604988959901[/C][C]0.581433089700764[/C][/ROW]
[ROW][C]0.06[/C][C]90.7947468797049[/C][C]0.538403608600329[/C][/ROW]
[ROW][C]0.07[/C][C]90.9991101950709[/C][C]0.463364887052656[/C][/ROW]
[ROW][C]0.08[/C][C]91.1681738886814[/C][C]0.383687023669661[/C][/ROW]
[ROW][C]0.09[/C][C]91.3040440281765[/C][C]0.31738009692286[/C][/ROW]
[ROW][C]0.1[/C][C]91.4131958889499[/C][C]0.272065404068951[/C][/ROW]
[ROW][C]0.11[/C][C]91.5033125681693[/C][C]0.247232020025835[/C][/ROW]
[ROW][C]0.12[/C][C]91.5812110441475[/C][C]0.237736296906538[/C][/ROW]
[ROW][C]0.13[/C][C]91.6519410215728[/C][C]0.23719913140776[/C][/ROW]
[ROW][C]0.14[/C][C]91.7186995494246[/C][C]0.24024456391246[/C][/ROW]
[ROW][C]0.15[/C][C]91.7831649661705[/C][C]0.243343872132489[/C][/ROW]
[ROW][C]0.16[/C][C]91.8459675356313[/C][C]0.244376335670495[/C][/ROW]
[ROW][C]0.17[/C][C]91.9071365757143[/C][C]0.243061594512811[/C][/ROW]
[ROW][C]0.18[/C][C]91.9664497994116[/C][C]0.23933336079792[/C][/ROW]
[ROW][C]0.19[/C][C]92.023662428563[/C][C]0.234404685676737[/C][/ROW]
[ROW][C]0.2[/C][C]92.0786240510139[/C][C]0.228819851897084[/C][/ROW]
[ROW][C]0.21[/C][C]92.1313084896673[/C][C]0.223078828544946[/C][/ROW]
[ROW][C]0.22[/C][C]92.181789332429[/C][C]0.217874948841762[/C][/ROW]
[ROW][C]0.23[/C][C]92.230192678951[/C][C]0.212871021290433[/C][/ROW]
[ROW][C]0.24[/C][C]92.2766512530057[/C][C]0.208070139086887[/C][/ROW]
[ROW][C]0.25[/C][C]92.3212735750794[/C][C]0.203130594808491[/C][/ROW]
[ROW][C]0.26[/C][C]92.3641318419108[/C][C]0.197848201133199[/C][/ROW]
[ROW][C]0.27[/C][C]92.4052650433056[/C][C]0.192283469511628[/C][/ROW]
[ROW][C]0.28[/C][C]92.444690655744[/C][C]0.186337717860235[/C][/ROW]
[ROW][C]0.29[/C][C]92.4824185274793[/C][C]0.180027383194878[/C][/ROW]
[ROW][C]0.3[/C][C]92.5184629537705[/C][C]0.173635447241806[/C][/ROW]
[ROW][C]0.31[/C][C]92.5528518796256[/C][C]0.167129859696133[/C][/ROW]
[ROW][C]0.32[/C][C]92.5856344686843[/C][C]0.160619097861747[/C][/ROW]
[ROW][C]0.33[/C][C]92.6168893754807[/C][C]0.15440926732131[/C][/ROW]
[ROW][C]0.34[/C][C]92.6467359863619[/C][C]0.148633353350273[/C][/ROW]
[ROW][C]0.35[/C][C]92.6753500571176[/C][C]0.143658169718133[/C][/ROW]
[ROW][C]0.36[/C][C]92.7029840724989[/C][C]0.139785397881131[/C][/ROW]
[ROW][C]0.37[/C][C]92.7299916597121[/C][C]0.137966170475442[/C][/ROW]
[ROW][C]0.38[/C][C]92.7568546564688[/C][C]0.138951303019346[/C][/ROW]
[ROW][C]0.39[/C][C]92.7842109109887[/C][C]0.143932174105122[/C][/ROW]
[ROW][C]0.4[/C][C]92.8128804140635[/C][C]0.153930841860987[/C][/ROW]
[ROW][C]0.41[/C][C]92.8438867812962[/C][C]0.170495514909763[/C][/ROW]
[ROW][C]0.42[/C][C]92.8784703799718[/C][C]0.194851744587628[/C][/ROW]
[ROW][C]0.43[/C][C]92.9180886616337[/C][C]0.228289867710961[/C][/ROW]
[ROW][C]0.44[/C][C]92.9643988154176[/C][C]0.271721576789468[/C][/ROW]
[ROW][C]0.45[/C][C]93.0192180969982[/C][C]0.325720154680152[/C][/ROW]
[ROW][C]0.46[/C][C]93.0844584992553[/C][C]0.390619778370561[/C][/ROW]
[ROW][C]0.47[/C][C]93.1620350440335[/C][C]0.466143605176036[/C][/ROW]
[ROW][C]0.48[/C][C]93.2537508312615[/C][C]0.551000986581446[/C][/ROW]
[ROW][C]0.49[/C][C]93.3611666538147[/C][C]0.643550810007369[/C][/ROW]
[ROW][C]0.5[/C][C]93.4854676869483[/C][C]0.740757063222557[/C][/ROW]
[ROW][C]0.51[/C][C]93.6273434661078[/C][C]0.839844192112273[/C][/ROW]
[ROW][C]0.52[/C][C]93.7868990318981[/C][C]0.937010608939548[/C][/ROW]
[ROW][C]0.53[/C][C]93.963613941565[/C][C]1.02846742396771[/C][/ROW]
[ROW][C]0.54[/C][C]94.1563614953484[/C][C]1.11092884372496[/C][/ROW]
[ROW][C]0.55[/C][C]94.363493300474[/C][C]1.1815515921543[/C][/ROW]
[ROW][C]0.56[/C][C]94.5829851315098[/C][C]1.23867071583168[/C][/ROW]
[ROW][C]0.57[/C][C]94.8126303935705[/C][C]1.28177842961332[/C][/ROW]
[ROW][C]0.58[/C][C]95.0502590770088[/C][C]1.31164386224916[/C][/ROW]
[ROW][C]0.59[/C][C]95.2939545873174[/C][C]1.33042364595329[/C][/ROW]
[ROW][C]0.6[/C][C]95.5422395351515[/C][C]1.34124170710334[/C][/ROW]
[ROW][C]0.61[/C][C]95.7942050736287[/C][C]1.34786176452919[/C][/ROW]
[ROW][C]0.62[/C][C]96.0495663460374[/C][C]1.35410023485418[/C][/ROW]
[ROW][C]0.63[/C][C]96.3086377406007[/C][C]1.36347707139816[/C][/ROW]
[ROW][C]0.64[/C][C]96.5722337926102[/C][C]1.37854824654054[/C][/ROW]
[ROW][C]0.65[/C][C]96.8415121658631[/C][C]1.40059919252338[/C][/ROW]
[ROW][C]0.66[/C][C]97.1177818474071[/C][C]1.42977688366278[/C][/ROW]
[ROW][C]0.67[/C][C]97.4023011161416[/C][C]1.46486235842928[/C][/ROW]
[ROW][C]0.68[/C][C]97.6960861484034[/C][C]1.50373959222899[/C][/ROW]
[ROW][C]0.69[/C][C]97.9997441713112[/C][C]1.54375163204096[/C][/ROW]
[ROW][C]0.7[/C][C]98.3133380275745[/C][C]1.58172468147114[/C][/ROW]
[ROW][C]0.71[/C][C]98.6362852709156[/C][C]1.61440486498945[/C][/ROW]
[ROW][C]0.72[/C][C]98.9672966589264[/C][C]1.63824732724267[/C][/ROW]
[ROW][C]0.73[/C][C]99.3043657882044[/C][C]1.65010454076486[/C][/ROW]
[ROW][C]0.74[/C][C]99.6448300903414[/C][C]1.64662376839966[/C][/ROW]
[ROW][C]0.75[/C][C]99.9855273964873[/C][C]1.62562403959785[/C][/ROW]
[ROW][C]0.76[/C][C]100.323065188881[/C][C]1.58586202669772[/C][/ROW]
[ROW][C]0.77[/C][C]100.65419740264[/C][C]1.52836455289475[/C][/ROW]
[ROW][C]0.78[/C][C]100.976267644155[/C][C]1.45649184926102[/C][/ROW]
[ROW][C]0.79[/C][C]101.287636536412[/C][C]1.37571005311424[/C][/ROW]
[ROW][C]0.8[/C][C]101.587979417421[/C][C]1.29381124303958[/C][/ROW]
[ROW][C]0.81[/C][C]101.878335912543[/C][C]1.21869432949028[/C][/ROW]
[ROW][C]0.82[/C][C]102.16082792915[/C][C]1.1568573551731[/C][/ROW]
[ROW][C]0.83[/C][C]102.438039124244[/C][C]1.11112919660288[/C][/ROW]
[ROW][C]0.84[/C][C]102.712152452825[/C][C]1.07887719084742[/C][/ROW]
[ROW][C]0.85[/C][C]102.984042582745[/C][C]1.05234558568984[/C][/ROW]
[ROW][C]0.86[/C][C]103.252577657167[/C][C]1.02059801104303[/C][/ROW]
[ROW][C]0.87[/C][C]103.514366622205[/C][C]0.973258963154982[/C][/ROW]
[ROW][C]0.88[/C][C]103.76408349901[/C][C]0.902933488364318[/C][/ROW]
[ROW][C]0.89[/C][C]103.99533304372[/C][C]0.807933580254723[/C][/ROW]
[ROW][C]0.9[/C][C]104.201850789597[/C][C]0.692171059813597[/C][/ROW]
[ROW][C]0.91[/C][C]104.378724428337[/C][C]0.564332983052844[/C][/ROW]
[ROW][C]0.92[/C][C]104.523332113033[/C][C]0.43547437671233[/C][/ROW]
[ROW][C]0.93[/C][C]104.635817953627[/C][C]0.316191642613794[/C][/ROW]
[ROW][C]0.94[/C][C]104.719114984433[/C][C]0.214765377091315[/C][/ROW]
[ROW][C]0.95[/C][C]104.778687945224[/C][C]0.136203787969706[/C][/ROW]
[ROW][C]0.96[/C][C]104.82214480734[/C][C]0.0827780271955488[/C][/ROW]
[ROW][C]0.97[/C][C]104.858393828049[/C][C]0.0565492840404603[/C][/ROW]
[ROW][C]0.98[/C][C]104.895034353471[/C][C]0.0590992336619512[/C][/ROW]
[ROW][C]0.99[/C][C]104.93266622344[/C][C]0.0795526707945818[/C][/ROW]
[ROW][C]1[/C][C]104.96[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281439&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281439&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
0.0189.66223973795710.284065913595923
0.0289.83980186479680.362714412132318
0.0390.06324658291090.481126761541083
0.0490.31022991593110.565080272026018
0.0590.56049889599010.581433089700764
0.0690.79474687970490.538403608600329
0.0790.99911019507090.463364887052656
0.0891.16817388868140.383687023669661
0.0991.30404402817650.31738009692286
0.191.41319588894990.272065404068951
0.1191.50331256816930.247232020025835
0.1291.58121104414750.237736296906538
0.1391.65194102157280.23719913140776
0.1491.71869954942460.24024456391246
0.1591.78316496617050.243343872132489
0.1691.84596753563130.244376335670495
0.1791.90713657571430.243061594512811
0.1891.96644979941160.23933336079792
0.1992.0236624285630.234404685676737
0.292.07862405101390.228819851897084
0.2192.13130848966730.223078828544946
0.2292.1817893324290.217874948841762
0.2392.2301926789510.212871021290433
0.2492.27665125300570.208070139086887
0.2592.32127357507940.203130594808491
0.2692.36413184191080.197848201133199
0.2792.40526504330560.192283469511628
0.2892.4446906557440.186337717860235
0.2992.48241852747930.180027383194878
0.392.51846295377050.173635447241806
0.3192.55285187962560.167129859696133
0.3292.58563446868430.160619097861747
0.3392.61688937548070.15440926732131
0.3492.64673598636190.148633353350273
0.3592.67535005711760.143658169718133
0.3692.70298407249890.139785397881131
0.3792.72999165971210.137966170475442
0.3892.75685465646880.138951303019346
0.3992.78421091098870.143932174105122
0.492.81288041406350.153930841860987
0.4192.84388678129620.170495514909763
0.4292.87847037997180.194851744587628
0.4392.91808866163370.228289867710961
0.4492.96439881541760.271721576789468
0.4593.01921809699820.325720154680152
0.4693.08445849925530.390619778370561
0.4793.16203504403350.466143605176036
0.4893.25375083126150.551000986581446
0.4993.36116665381470.643550810007369
0.593.48546768694830.740757063222557
0.5193.62734346610780.839844192112273
0.5293.78689903189810.937010608939548
0.5393.9636139415651.02846742396771
0.5494.15636149534841.11092884372496
0.5594.3634933004741.1815515921543
0.5694.58298513150981.23867071583168
0.5794.81263039357051.28177842961332
0.5895.05025907700881.31164386224916
0.5995.29395458731741.33042364595329
0.695.54223953515151.34124170710334
0.6195.79420507362871.34786176452919
0.6296.04956634603741.35410023485418
0.6396.30863774060071.36347707139816
0.6496.57223379261021.37854824654054
0.6596.84151216586311.40059919252338
0.6697.11778184740711.42977688366278
0.6797.40230111614161.46486235842928
0.6897.69608614840341.50373959222899
0.6997.99974417131121.54375163204096
0.798.31333802757451.58172468147114
0.7198.63628527091561.61440486498945
0.7298.96729665892641.63824732724267
0.7399.30436578820441.65010454076486
0.7499.64483009034141.64662376839966
0.7599.98552739648731.62562403959785
0.76100.3230651888811.58586202669772
0.77100.654197402641.52836455289475
0.78100.9762676441551.45649184926102
0.79101.2876365364121.37571005311424
0.8101.5879794174211.29381124303958
0.81101.8783359125431.21869432949028
0.82102.160827929151.1568573551731
0.83102.4380391242441.11112919660288
0.84102.7121524528251.07887719084742
0.85102.9840425827451.05234558568984
0.86103.2525776571671.02059801104303
0.87103.5143666222050.973258963154982
0.88103.764083499010.902933488364318
0.89103.995333043720.807933580254723
0.9104.2018507895970.692171059813597
0.91104.3787244283370.564332983052844
0.92104.5233321130330.43547437671233
0.93104.6358179536270.316191642613794
0.94104.7191149844330.214765377091315
0.95104.7786879452240.136203787969706
0.96104.822144807340.0827780271955488
0.97104.8583938280490.0565492840404603
0.98104.8950343534710.0590992336619512
0.99104.932666223440.0795526707945818
1104.96NA


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 1.00 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 1.00 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.10'
par2 <- '0.99'
par1 <- '0.01'
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')