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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, 25 Feb 2016 23:49:01 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Feb/25/t1456444193km660wn7o6xhma6.htm/, Retrieved Thu, 02 May 2024 21:30:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292708, Retrieved Thu, 02 May 2024 21:30:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact58

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 sier...] [2016-02-25 23:49:01] [56edb0d8f6220d107203045c2c4d5731] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
37.43
38.39
38.99
39.83
41.21
41.72
42.12
43.18
43.43
43.77
44.19
44.38
44.57
45.13
45.84
46.11
46.35
46.41
46.78
47.09
47.34
47.64
48.17
48.24
48.59
49.29
50.44
52.42
52.9
53.19
53.19
53.38
54.17
54.69
55.39
55.64
55.64
56.57
57.16
57.87
58.89
59.28
59.94
60.35
60.59
61.2
61.62
62.07
62.38
62.62
64.15
64.97
66.12
67.08
68.66
69.04
70.8
73.2
74.19
75.36
75.54
76.81
77.69
79.34
80.36
80.74
81.12
82.95
87.31
88.93
90.8
91.29
91.36
92.72
95.75
97.19
98.73
99.03
99.4
99.66
100.5
101.21
101.26
101.44
101.97
102.23
102.58
101.91
101.63
101.1
100.71
100.75
100.14
97.72
94.91
94.34
97.11
96.51
95.8
95.25
95.09
94.97
95.21
95.46
95.33
95.14
95.6
95.66
95.66
96.33
97.66
98.27
99.53
100.86
101.26
101.29
101.38
101.49
101.29
101.26

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'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292708&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292708&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292708&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0138.0799916213470.921102511525827
0.0239.03875616369461.1621992098057
0.0340.02156475853111.38274107616948
0.0440.9575223424561.41837255423134
0.0541.79598642624451.34442449110635
0.0642.51814253203911.24730043286107
0.0743.13682600648921.16294897182408
0.0843.67707803908231.10933469671609
0.0944.16438303826281.09406889527384
0.144.6194239582231.10654531164897
0.1145.05547354429421.1269128509853
0.1245.47896189494821.14333636510491
0.1345.89318581099391.16060727843906
0.1446.30285490752451.19641618724978
0.1546.71689334534961.27208840985748
0.1647.1483946219971.40121583328938
0.1747.61219751777431.5840123361241
0.1848.1213123773651.80651380198941
0.1948.68348243383372.04303573311707
0.249.29892802773622.26251368226714
0.2149.95997386376882.43656590731563
0.2250.65275405061542.54682632036517
0.2351.36053849540282.59065246184031
0.2452.06764844570222.58056766761724
0.2552.76272574813052.53996667466162
0.2653.44041857043862.49483642209834
0.2754.10119598276352.46606662256082
0.2854.74968122173722.46473528683008
0.2955.39231031548892.49077837962277
0.356.03517204324832.53661215842506
0.3156.6826446916392.59185543635135
0.3257.33707947650852.64772669946959
0.3357.99943695767082.70095847518627
0.3458.67054222539782.75516118202744
0.3559.3525095950622.82017145800786
0.3660.04989041899482.91073588332064
0.3760.77019904490523.04206149965736
0.3861.52364335520593.22570261035284
0.3962.32208806556533.46581101811025
0.463.17746479134173.75797404556448
0.4164.09997152876184.08868308242178
0.4265.09645100308044.43879332159785
0.4366.16929904289344.78577177563332
0.4467.31614512565835.10790476666285
0.4568.53039132639095.38857982101361
0.4669.8025195172825.61804040149291
0.4771.1219067799095.79645710590767
0.4872.47875472248525.93199683292839
0.4973.86567168780566.04019840043804
0.575.27847749492136.13792080551601
0.5176.71594429454696.23921910820176
0.5278.17843210178216.34856284874945
0.5379.66567468498516.45842927449883
0.5481.17424047035776.54789020100572
0.5582.69534454437156.58726293121169
0.5684.21365659759056.54419090097907
0.5785.70752606406846.39154459692029
0.5887.15068794082926.11381395829042
0.5988.5151306886085.71077155875186
0.689.77452184388315.19827330973768
0.6190.90748123142584.60560298033941
0.6291.90008171111053.97003946778141
0.6392.74719150670043.33121050679994
0.6493.45256049060062.72617671216354
0.6594.02780743695742.18513201434774
0.6694.49063011090261.72938666282963
0.6794.86261959745511.37090983459004
0.6895.16703065429351.11352855636249
0.6995.42677371469420.953645738224363
0.795.66278768546590.880715895970805
0.7195.89285694219370.877695137831355
0.7296.13087020954950.923595627075571
0.7396.38648657202230.997910066780268
0.7496.66516338109491.08282041204731
0.7596.96849532929741.16384163984757
0.7697.2948023157561.23002377871646
0.7797.63988621977891.27424102063197
0.7897.99786087205371.29249083321986
0.7998.36195227636381.2838869391529
0.898.72517170754291.24977317819081
0.8199.08078854712181.19301562613004
0.8299.42257956258141.11713360463362
0.8399.74490176826461.02538357505217
0.84100.0426978891640.920590778654722
0.85100.3115575107820.805669089497373
0.86100.5479133331730.684546665875755
0.87100.7493896833110.56181510446186
0.88100.9152848140620.443260437640503
0.89101.0471425175340.335276520487901
0.9101.1492866799430.244818366677656
0.91101.2290696372780.178540033657187
0.92101.2965926643820.142181716603915
0.93101.3639033062680.137394340079225
0.94101.4438235488430.159375994321936
0.95101.5481581389830.197870245145789
0.96101.6852032715150.236088732993961
0.97101.8600608883820.256407178596846
0.98102.0831366430820.265622113590201
0.99102.3598453394080.296225443425185

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 38.079991621347 & 0.921102511525827 \tabularnewline
0.02 & 39.0387561636946 & 1.1621992098057 \tabularnewline
0.03 & 40.0215647585311 & 1.38274107616948 \tabularnewline
0.04 & 40.957522342456 & 1.41837255423134 \tabularnewline
0.05 & 41.7959864262445 & 1.34442449110635 \tabularnewline
0.06 & 42.5181425320391 & 1.24730043286107 \tabularnewline
0.07 & 43.1368260064892 & 1.16294897182408 \tabularnewline
0.08 & 43.6770780390823 & 1.10933469671609 \tabularnewline
0.09 & 44.1643830382628 & 1.09406889527384 \tabularnewline
0.1 & 44.619423958223 & 1.10654531164897 \tabularnewline
0.11 & 45.0554735442942 & 1.1269128509853 \tabularnewline
0.12 & 45.4789618949482 & 1.14333636510491 \tabularnewline
0.13 & 45.8931858109939 & 1.16060727843906 \tabularnewline
0.14 & 46.3028549075245 & 1.19641618724978 \tabularnewline
0.15 & 46.7168933453496 & 1.27208840985748 \tabularnewline
0.16 & 47.148394621997 & 1.40121583328938 \tabularnewline
0.17 & 47.6121975177743 & 1.5840123361241 \tabularnewline
0.18 & 48.121312377365 & 1.80651380198941 \tabularnewline
0.19 & 48.6834824338337 & 2.04303573311707 \tabularnewline
0.2 & 49.2989280277362 & 2.26251368226714 \tabularnewline
0.21 & 49.9599738637688 & 2.43656590731563 \tabularnewline
0.22 & 50.6527540506154 & 2.54682632036517 \tabularnewline
0.23 & 51.3605384954028 & 2.59065246184031 \tabularnewline
0.24 & 52.0676484457022 & 2.58056766761724 \tabularnewline
0.25 & 52.7627257481305 & 2.53996667466162 \tabularnewline
0.26 & 53.4404185704386 & 2.49483642209834 \tabularnewline
0.27 & 54.1011959827635 & 2.46606662256082 \tabularnewline
0.28 & 54.7496812217372 & 2.46473528683008 \tabularnewline
0.29 & 55.3923103154889 & 2.49077837962277 \tabularnewline
0.3 & 56.0351720432483 & 2.53661215842506 \tabularnewline
0.31 & 56.682644691639 & 2.59185543635135 \tabularnewline
0.32 & 57.3370794765085 & 2.64772669946959 \tabularnewline
0.33 & 57.9994369576708 & 2.70095847518627 \tabularnewline
0.34 & 58.6705422253978 & 2.75516118202744 \tabularnewline
0.35 & 59.352509595062 & 2.82017145800786 \tabularnewline
0.36 & 60.0498904189948 & 2.91073588332064 \tabularnewline
0.37 & 60.7701990449052 & 3.04206149965736 \tabularnewline
0.38 & 61.5236433552059 & 3.22570261035284 \tabularnewline
0.39 & 62.3220880655653 & 3.46581101811025 \tabularnewline
0.4 & 63.1774647913417 & 3.75797404556448 \tabularnewline
0.41 & 64.0999715287618 & 4.08868308242178 \tabularnewline
0.42 & 65.0964510030804 & 4.43879332159785 \tabularnewline
0.43 & 66.1692990428934 & 4.78577177563332 \tabularnewline
0.44 & 67.3161451256583 & 5.10790476666285 \tabularnewline
0.45 & 68.5303913263909 & 5.38857982101361 \tabularnewline
0.46 & 69.802519517282 & 5.61804040149291 \tabularnewline
0.47 & 71.121906779909 & 5.79645710590767 \tabularnewline
0.48 & 72.4787547224852 & 5.93199683292839 \tabularnewline
0.49 & 73.8656716878056 & 6.04019840043804 \tabularnewline
0.5 & 75.2784774949213 & 6.13792080551601 \tabularnewline
0.51 & 76.7159442945469 & 6.23921910820176 \tabularnewline
0.52 & 78.1784321017821 & 6.34856284874945 \tabularnewline
0.53 & 79.6656746849851 & 6.45842927449883 \tabularnewline
0.54 & 81.1742404703577 & 6.54789020100572 \tabularnewline
0.55 & 82.6953445443715 & 6.58726293121169 \tabularnewline
0.56 & 84.2136565975905 & 6.54419090097907 \tabularnewline
0.57 & 85.7075260640684 & 6.39154459692029 \tabularnewline
0.58 & 87.1506879408292 & 6.11381395829042 \tabularnewline
0.59 & 88.515130688608 & 5.71077155875186 \tabularnewline
0.6 & 89.7745218438831 & 5.19827330973768 \tabularnewline
0.61 & 90.9074812314258 & 4.60560298033941 \tabularnewline
0.62 & 91.9000817111105 & 3.97003946778141 \tabularnewline
0.63 & 92.7471915067004 & 3.33121050679994 \tabularnewline
0.64 & 93.4525604906006 & 2.72617671216354 \tabularnewline
0.65 & 94.0278074369574 & 2.18513201434774 \tabularnewline
0.66 & 94.4906301109026 & 1.72938666282963 \tabularnewline
0.67 & 94.8626195974551 & 1.37090983459004 \tabularnewline
0.68 & 95.1670306542935 & 1.11352855636249 \tabularnewline
0.69 & 95.4267737146942 & 0.953645738224363 \tabularnewline
0.7 & 95.6627876854659 & 0.880715895970805 \tabularnewline
0.71 & 95.8928569421937 & 0.877695137831355 \tabularnewline
0.72 & 96.1308702095495 & 0.923595627075571 \tabularnewline
0.73 & 96.3864865720223 & 0.997910066780268 \tabularnewline
0.74 & 96.6651633810949 & 1.08282041204731 \tabularnewline
0.75 & 96.9684953292974 & 1.16384163984757 \tabularnewline
0.76 & 97.294802315756 & 1.23002377871646 \tabularnewline
0.77 & 97.6398862197789 & 1.27424102063197 \tabularnewline
0.78 & 97.9978608720537 & 1.29249083321986 \tabularnewline
0.79 & 98.3619522763638 & 1.2838869391529 \tabularnewline
0.8 & 98.7251717075429 & 1.24977317819081 \tabularnewline
0.81 & 99.0807885471218 & 1.19301562613004 \tabularnewline
0.82 & 99.4225795625814 & 1.11713360463362 \tabularnewline
0.83 & 99.7449017682646 & 1.02538357505217 \tabularnewline
0.84 & 100.042697889164 & 0.920590778654722 \tabularnewline
0.85 & 100.311557510782 & 0.805669089497373 \tabularnewline
0.86 & 100.547913333173 & 0.684546665875755 \tabularnewline
0.87 & 100.749389683311 & 0.56181510446186 \tabularnewline
0.88 & 100.915284814062 & 0.443260437640503 \tabularnewline
0.89 & 101.047142517534 & 0.335276520487901 \tabularnewline
0.9 & 101.149286679943 & 0.244818366677656 \tabularnewline
0.91 & 101.229069637278 & 0.178540033657187 \tabularnewline
0.92 & 101.296592664382 & 0.142181716603915 \tabularnewline
0.93 & 101.363903306268 & 0.137394340079225 \tabularnewline
0.94 & 101.443823548843 & 0.159375994321936 \tabularnewline
0.95 & 101.548158138983 & 0.197870245145789 \tabularnewline
0.96 & 101.685203271515 & 0.236088732993961 \tabularnewline
0.97 & 101.860060888382 & 0.256407178596846 \tabularnewline
0.98 & 102.083136643082 & 0.265622113590201 \tabularnewline
0.99 & 102.359845339408 & 0.296225443425185 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292708&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]38.079991621347[/C][C]0.921102511525827[/C][/ROW]
[ROW][C]0.02[/C][C]39.0387561636946[/C][C]1.1621992098057[/C][/ROW]
[ROW][C]0.03[/C][C]40.0215647585311[/C][C]1.38274107616948[/C][/ROW]
[ROW][C]0.04[/C][C]40.957522342456[/C][C]1.41837255423134[/C][/ROW]
[ROW][C]0.05[/C][C]41.7959864262445[/C][C]1.34442449110635[/C][/ROW]
[ROW][C]0.06[/C][C]42.5181425320391[/C][C]1.24730043286107[/C][/ROW]
[ROW][C]0.07[/C][C]43.1368260064892[/C][C]1.16294897182408[/C][/ROW]
[ROW][C]0.08[/C][C]43.6770780390823[/C][C]1.10933469671609[/C][/ROW]
[ROW][C]0.09[/C][C]44.1643830382628[/C][C]1.09406889527384[/C][/ROW]
[ROW][C]0.1[/C][C]44.619423958223[/C][C]1.10654531164897[/C][/ROW]
[ROW][C]0.11[/C][C]45.0554735442942[/C][C]1.1269128509853[/C][/ROW]
[ROW][C]0.12[/C][C]45.4789618949482[/C][C]1.14333636510491[/C][/ROW]
[ROW][C]0.13[/C][C]45.8931858109939[/C][C]1.16060727843906[/C][/ROW]
[ROW][C]0.14[/C][C]46.3028549075245[/C][C]1.19641618724978[/C][/ROW]
[ROW][C]0.15[/C][C]46.7168933453496[/C][C]1.27208840985748[/C][/ROW]
[ROW][C]0.16[/C][C]47.148394621997[/C][C]1.40121583328938[/C][/ROW]
[ROW][C]0.17[/C][C]47.6121975177743[/C][C]1.5840123361241[/C][/ROW]
[ROW][C]0.18[/C][C]48.121312377365[/C][C]1.80651380198941[/C][/ROW]
[ROW][C]0.19[/C][C]48.6834824338337[/C][C]2.04303573311707[/C][/ROW]
[ROW][C]0.2[/C][C]49.2989280277362[/C][C]2.26251368226714[/C][/ROW]
[ROW][C]0.21[/C][C]49.9599738637688[/C][C]2.43656590731563[/C][/ROW]
[ROW][C]0.22[/C][C]50.6527540506154[/C][C]2.54682632036517[/C][/ROW]
[ROW][C]0.23[/C][C]51.3605384954028[/C][C]2.59065246184031[/C][/ROW]
[ROW][C]0.24[/C][C]52.0676484457022[/C][C]2.58056766761724[/C][/ROW]
[ROW][C]0.25[/C][C]52.7627257481305[/C][C]2.53996667466162[/C][/ROW]
[ROW][C]0.26[/C][C]53.4404185704386[/C][C]2.49483642209834[/C][/ROW]
[ROW][C]0.27[/C][C]54.1011959827635[/C][C]2.46606662256082[/C][/ROW]
[ROW][C]0.28[/C][C]54.7496812217372[/C][C]2.46473528683008[/C][/ROW]
[ROW][C]0.29[/C][C]55.3923103154889[/C][C]2.49077837962277[/C][/ROW]
[ROW][C]0.3[/C][C]56.0351720432483[/C][C]2.53661215842506[/C][/ROW]
[ROW][C]0.31[/C][C]56.682644691639[/C][C]2.59185543635135[/C][/ROW]
[ROW][C]0.32[/C][C]57.3370794765085[/C][C]2.64772669946959[/C][/ROW]
[ROW][C]0.33[/C][C]57.9994369576708[/C][C]2.70095847518627[/C][/ROW]
[ROW][C]0.34[/C][C]58.6705422253978[/C][C]2.75516118202744[/C][/ROW]
[ROW][C]0.35[/C][C]59.352509595062[/C][C]2.82017145800786[/C][/ROW]
[ROW][C]0.36[/C][C]60.0498904189948[/C][C]2.91073588332064[/C][/ROW]
[ROW][C]0.37[/C][C]60.7701990449052[/C][C]3.04206149965736[/C][/ROW]
[ROW][C]0.38[/C][C]61.5236433552059[/C][C]3.22570261035284[/C][/ROW]
[ROW][C]0.39[/C][C]62.3220880655653[/C][C]3.46581101811025[/C][/ROW]
[ROW][C]0.4[/C][C]63.1774647913417[/C][C]3.75797404556448[/C][/ROW]
[ROW][C]0.41[/C][C]64.0999715287618[/C][C]4.08868308242178[/C][/ROW]
[ROW][C]0.42[/C][C]65.0964510030804[/C][C]4.43879332159785[/C][/ROW]
[ROW][C]0.43[/C][C]66.1692990428934[/C][C]4.78577177563332[/C][/ROW]
[ROW][C]0.44[/C][C]67.3161451256583[/C][C]5.10790476666285[/C][/ROW]
[ROW][C]0.45[/C][C]68.5303913263909[/C][C]5.38857982101361[/C][/ROW]
[ROW][C]0.46[/C][C]69.802519517282[/C][C]5.61804040149291[/C][/ROW]
[ROW][C]0.47[/C][C]71.121906779909[/C][C]5.79645710590767[/C][/ROW]
[ROW][C]0.48[/C][C]72.4787547224852[/C][C]5.93199683292839[/C][/ROW]
[ROW][C]0.49[/C][C]73.8656716878056[/C][C]6.04019840043804[/C][/ROW]
[ROW][C]0.5[/C][C]75.2784774949213[/C][C]6.13792080551601[/C][/ROW]
[ROW][C]0.51[/C][C]76.7159442945469[/C][C]6.23921910820176[/C][/ROW]
[ROW][C]0.52[/C][C]78.1784321017821[/C][C]6.34856284874945[/C][/ROW]
[ROW][C]0.53[/C][C]79.6656746849851[/C][C]6.45842927449883[/C][/ROW]
[ROW][C]0.54[/C][C]81.1742404703577[/C][C]6.54789020100572[/C][/ROW]
[ROW][C]0.55[/C][C]82.6953445443715[/C][C]6.58726293121169[/C][/ROW]
[ROW][C]0.56[/C][C]84.2136565975905[/C][C]6.54419090097907[/C][/ROW]
[ROW][C]0.57[/C][C]85.7075260640684[/C][C]6.39154459692029[/C][/ROW]
[ROW][C]0.58[/C][C]87.1506879408292[/C][C]6.11381395829042[/C][/ROW]
[ROW][C]0.59[/C][C]88.515130688608[/C][C]5.71077155875186[/C][/ROW]
[ROW][C]0.6[/C][C]89.7745218438831[/C][C]5.19827330973768[/C][/ROW]
[ROW][C]0.61[/C][C]90.9074812314258[/C][C]4.60560298033941[/C][/ROW]
[ROW][C]0.62[/C][C]91.9000817111105[/C][C]3.97003946778141[/C][/ROW]
[ROW][C]0.63[/C][C]92.7471915067004[/C][C]3.33121050679994[/C][/ROW]
[ROW][C]0.64[/C][C]93.4525604906006[/C][C]2.72617671216354[/C][/ROW]
[ROW][C]0.65[/C][C]94.0278074369574[/C][C]2.18513201434774[/C][/ROW]
[ROW][C]0.66[/C][C]94.4906301109026[/C][C]1.72938666282963[/C][/ROW]
[ROW][C]0.67[/C][C]94.8626195974551[/C][C]1.37090983459004[/C][/ROW]
[ROW][C]0.68[/C][C]95.1670306542935[/C][C]1.11352855636249[/C][/ROW]
[ROW][C]0.69[/C][C]95.4267737146942[/C][C]0.953645738224363[/C][/ROW]
[ROW][C]0.7[/C][C]95.6627876854659[/C][C]0.880715895970805[/C][/ROW]
[ROW][C]0.71[/C][C]95.8928569421937[/C][C]0.877695137831355[/C][/ROW]
[ROW][C]0.72[/C][C]96.1308702095495[/C][C]0.923595627075571[/C][/ROW]
[ROW][C]0.73[/C][C]96.3864865720223[/C][C]0.997910066780268[/C][/ROW]
[ROW][C]0.74[/C][C]96.6651633810949[/C][C]1.08282041204731[/C][/ROW]
[ROW][C]0.75[/C][C]96.9684953292974[/C][C]1.16384163984757[/C][/ROW]
[ROW][C]0.76[/C][C]97.294802315756[/C][C]1.23002377871646[/C][/ROW]
[ROW][C]0.77[/C][C]97.6398862197789[/C][C]1.27424102063197[/C][/ROW]
[ROW][C]0.78[/C][C]97.9978608720537[/C][C]1.29249083321986[/C][/ROW]
[ROW][C]0.79[/C][C]98.3619522763638[/C][C]1.2838869391529[/C][/ROW]
[ROW][C]0.8[/C][C]98.7251717075429[/C][C]1.24977317819081[/C][/ROW]
[ROW][C]0.81[/C][C]99.0807885471218[/C][C]1.19301562613004[/C][/ROW]
[ROW][C]0.82[/C][C]99.4225795625814[/C][C]1.11713360463362[/C][/ROW]
[ROW][C]0.83[/C][C]99.7449017682646[/C][C]1.02538357505217[/C][/ROW]
[ROW][C]0.84[/C][C]100.042697889164[/C][C]0.920590778654722[/C][/ROW]
[ROW][C]0.85[/C][C]100.311557510782[/C][C]0.805669089497373[/C][/ROW]
[ROW][C]0.86[/C][C]100.547913333173[/C][C]0.684546665875755[/C][/ROW]
[ROW][C]0.87[/C][C]100.749389683311[/C][C]0.56181510446186[/C][/ROW]
[ROW][C]0.88[/C][C]100.915284814062[/C][C]0.443260437640503[/C][/ROW]
[ROW][C]0.89[/C][C]101.047142517534[/C][C]0.335276520487901[/C][/ROW]
[ROW][C]0.9[/C][C]101.149286679943[/C][C]0.244818366677656[/C][/ROW]
[ROW][C]0.91[/C][C]101.229069637278[/C][C]0.178540033657187[/C][/ROW]
[ROW][C]0.92[/C][C]101.296592664382[/C][C]0.142181716603915[/C][/ROW]
[ROW][C]0.93[/C][C]101.363903306268[/C][C]0.137394340079225[/C][/ROW]
[ROW][C]0.94[/C][C]101.443823548843[/C][C]0.159375994321936[/C][/ROW]
[ROW][C]0.95[/C][C]101.548158138983[/C][C]0.197870245145789[/C][/ROW]
[ROW][C]0.96[/C][C]101.685203271515[/C][C]0.236088732993961[/C][/ROW]
[ROW][C]0.97[/C][C]101.860060888382[/C][C]0.256407178596846[/C][/ROW]
[ROW][C]0.98[/C][C]102.083136643082[/C][C]0.265622113590201[/C][/ROW]
[ROW][C]0.99[/C][C]102.359845339408[/C][C]0.296225443425185[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292708&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292708&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
0.0138.0799916213470.921102511525827
0.0239.03875616369461.1621992098057
0.0340.02156475853111.38274107616948
0.0440.9575223424561.41837255423134
0.0541.79598642624451.34442449110635
0.0642.51814253203911.24730043286107
0.0743.13682600648921.16294897182408
0.0843.67707803908231.10933469671609
0.0944.16438303826281.09406889527384
0.144.6194239582231.10654531164897
0.1145.05547354429421.1269128509853
0.1245.47896189494821.14333636510491
0.1345.89318581099391.16060727843906
0.1446.30285490752451.19641618724978
0.1546.71689334534961.27208840985748
0.1647.1483946219971.40121583328938
0.1747.61219751777431.5840123361241
0.1848.1213123773651.80651380198941
0.1948.68348243383372.04303573311707
0.249.29892802773622.26251368226714
0.2149.95997386376882.43656590731563
0.2250.65275405061542.54682632036517
0.2351.36053849540282.59065246184031
0.2452.06764844570222.58056766761724
0.2552.76272574813052.53996667466162
0.2653.44041857043862.49483642209834
0.2754.10119598276352.46606662256082
0.2854.74968122173722.46473528683008
0.2955.39231031548892.49077837962277
0.356.03517204324832.53661215842506
0.3156.6826446916392.59185543635135
0.3257.33707947650852.64772669946959
0.3357.99943695767082.70095847518627
0.3458.67054222539782.75516118202744
0.3559.3525095950622.82017145800786
0.3660.04989041899482.91073588332064
0.3760.77019904490523.04206149965736
0.3861.52364335520593.22570261035284
0.3962.32208806556533.46581101811025
0.463.17746479134173.75797404556448
0.4164.09997152876184.08868308242178
0.4265.09645100308044.43879332159785
0.4366.16929904289344.78577177563332
0.4467.31614512565835.10790476666285
0.4568.53039132639095.38857982101361
0.4669.8025195172825.61804040149291
0.4771.1219067799095.79645710590767
0.4872.47875472248525.93199683292839
0.4973.86567168780566.04019840043804
0.575.27847749492136.13792080551601
0.5176.71594429454696.23921910820176
0.5278.17843210178216.34856284874945
0.5379.66567468498516.45842927449883
0.5481.17424047035776.54789020100572
0.5582.69534454437156.58726293121169
0.5684.21365659759056.54419090097907
0.5785.70752606406846.39154459692029
0.5887.15068794082926.11381395829042
0.5988.5151306886085.71077155875186
0.689.77452184388315.19827330973768
0.6190.90748123142584.60560298033941
0.6291.90008171111053.97003946778141
0.6392.74719150670043.33121050679994
0.6493.45256049060062.72617671216354
0.6594.02780743695742.18513201434774
0.6694.49063011090261.72938666282963
0.6794.86261959745511.37090983459004
0.6895.16703065429351.11352855636249
0.6995.42677371469420.953645738224363
0.795.66278768546590.880715895970805
0.7195.89285694219370.877695137831355
0.7296.13087020954950.923595627075571
0.7396.38648657202230.997910066780268
0.7496.66516338109491.08282041204731
0.7596.96849532929741.16384163984757
0.7697.2948023157561.23002377871646
0.7797.63988621977891.27424102063197
0.7897.99786087205371.29249083321986
0.7998.36195227636381.2838869391529
0.898.72517170754291.24977317819081
0.8199.08078854712181.19301562613004
0.8299.42257956258141.11713360463362
0.8399.74490176826461.02538357505217
0.84100.0426978891640.920590778654722
0.85100.3115575107820.805669089497373
0.86100.5479133331730.684546665875755
0.87100.7493896833110.56181510446186
0.88100.9152848140620.443260437640503
0.89101.0471425175340.335276520487901
0.9101.1492866799430.244818366677656
0.91101.2290696372780.178540033657187
0.92101.2965926643820.142181716603915
0.93101.3639033062680.137394340079225
0.94101.4438235488430.159375994321936
0.95101.5481581389830.197870245145789
0.96101.6852032715150.236088732993961
0.97101.8600608883820.256407178596846
0.98102.0831366430820.265622113590201
0.99102.3598453394080.296225443425185


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 <- '0.99'
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')