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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 computationTue, 01 Mar 2016 17:10:40 +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/Mar/01/t1456852275yrgub1oay0yhks0.htm/, Retrieved Tue, 07 May 2024 13:38:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293191, Retrieved Tue, 07 May 2024 13:38:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Maximumprijs Bios...] [2016-03-01 15:27:06] [74be16979710d4c4e7c6647856088456]
- RMPD  [Histogram] [Vers Fruit - Hist...] [2016-03-01 15:53:45] [b1a7cb6d93e9c32863cdeb6d14632a38]
- RMPD    [Harrell-Davis Quantiles] [Levengeborenen va...] [2016-03-01 16:46:24] [b1a7cb6d93e9c32863cdeb6d14632a38]
- R  D        [Harrell-Davis Quantiles] [Vers Fruit - Perc...] [2016-03-01 17:10:40] [9229f16b23a3f07f1433c1291c3e5666] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
82.6
85.99
86.85
86.12
97.19
89.8
90.27
90.68
90.05
90.28
91.52
88.3
85.31
87.86
87.77
88.44
88.73
94.4
94.09
90.32
89.68
94.15
95.2
91.82
90.33
95.14
96.06
97.21
100.33
98.79
102.48
99.29
98.83
97.25
94.55
93.53
93.58
95.79
94.77
94.2
96.23
92.3
88.86
86.44
86.21
88.57
90.69
89
86.88
90.65
90.68
89.64
102.62
101.84
92.51
94.29
94.68
96.94
94.03
89.65
84.9
89.07
89.8
93.22
92.23
98.41
96.63
89.8
90
92.13
93.27
90.81
85.42
88.28
88.73
90.18
92.74
96.13
94.85
94.25
96.94
101.22
98.71
95.51
93.91
98.17
97.59
99.64
107.88
108.49
100.25
99.27
101.73
101.25
97.09
94.74
94.53
93.48
96.05
106.22
98.33
99.86
93.78
88.96
83.77
89.46
86.78
88.4
87.19
92.23
95.99
104.75
105.63
108.71
96.4
93.31
93.77
98.7
95.04
95.61

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=293191&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=293191&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293191&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
0.0183.37717491974011.06436273672863
0.0284.34648799368860.886164880656257
0.0385.05567700247370.681165646432971
0.0485.53374392051390.570581561235881
0.0585.88670796529710.529372123946907
0.0686.17971434241850.521642534306561
0.0786.44550527905290.542029046375676
0.0886.70219336963120.583695631099509
0.0986.95939662533790.631688835305073
0.187.21901087654510.667223683605566
0.1187.47638471037010.675831723027338
0.1287.72324602891250.652702168140311
0.1387.95150572386790.604985679183928
0.1488.15637168933790.547337394457979
0.1588.33760480704950.494915971322509
0.1688.49882122630070.457914613833509
0.1788.64565197833580.439511265821546
0.1888.78378535579060.43649526959224
0.1988.91757717920840.442197585345975
0.289.04944623764680.45002704401279
0.2189.17995643948960.454037098527781
0.2289.30835629674250.451527786156323
0.2389.43332150286660.441938867533152
0.2489.55366939317010.428067271780028
0.2589.66887419196730.41347633642032
0.2689.77930644866460.40195722651961
0.2789.88622298926330.397374245583426
0.2889.99160370798170.401642266515395
0.2990.09794149587150.4167908988207
0.390.20804825476710.443766515650616
0.3190.32487801910150.483320312250062
0.3290.45132727273710.534926550147258
0.3390.58997439837720.596775430546674
0.3490.74275986129510.66525913922364
0.3590.91066082971690.735384443580794
0.3691.09344797359690.801208784290188
0.3791.28960812179230.857147524022799
0.3891.49647383087370.898513284456193
0.3991.71053820516510.922891500130754
0.491.92787827397160.92974046405929
0.4192.14458599122180.920107227394076
0.4292.35711979941080.896583947673833
0.4392.56253081006830.861645885174753
0.4492.75856425078120.818735630305125
0.4592.94366869119410.770353814306262
0.4693.1169538932440.71900531258752
0.4793.27812761804420.667182813927984
0.4893.42742477447090.61731947824914
0.4993.56553031818580.570604831428454
0.593.69349476510890.52916027330879
0.5193.81264529259860.493724357210438
0.5293.92450018861630.465003953271664
0.5394.03069537941380.443387369050306
0.5494.13292814163660.429084260920943
0.5594.23291700941270.422060048643332
0.5694.33237109199190.422196180531502
0.5794.43295832583640.429373228100661
0.5894.53626137250350.442839897027016
0.5994.64371252128250.46199613794381
0.694.75650580709420.485260560684927
0.6194.87549563112910.511429006373905
0.6295.00110420439660.538010232294106
0.6395.13326985085950.562713762579147
0.6495.27146785558650.583508743082273
0.6595.41482065427430.599124696228692
0.6695.56228671452330.609287916864988
0.6795.7128875102370.614712770549822
0.6895.86591439181390.617312596188773
0.6996.02106362684550.618902366995681
0.796.17847821499330.621681780388316
0.7196.33871357445010.62660568485278
0.7296.50266624485620.635141251608058
0.7396.67149261288130.647516822285143
0.7496.8465038481380.664163031480711
0.7597.02898641636670.685088482561551
0.7697.21990746082110.708687383083785
0.7797.41954100467710.731778076760251
0.7897.62716409547290.749442480534264
0.7997.84104472910980.757232775909805
0.898.05889606566720.753430640515203
0.8198.27878485961750.740143170229203
0.8298.50023282858990.72451101406493
0.8398.72507953129490.716014249101041
0.8498.95770069114790.723682434133579
0.8599.20440230659040.751827221280027
0.8699.47213140062520.798960652051455
0.8799.76694211433020.85751882384468
0.88100.0929177313810.917643695328646
0.89100.4525226804350.970881891287511
0.9100.8494691893551.01799080234259
0.91101.294419694131.07695818804665
0.92101.811257374661.18417043345864
0.93102.4377778542971.36938583165475
0.94103.2139342037611.60862075573177
0.95104.1592498239111.80845752811706
0.96105.2530539724721.86652941312622
0.97106.4232439853091.73281706464702
0.98107.5274066851511.34865324843342
0.99108.3502197709060.693554048119327

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 83.3771749197401 & 1.06436273672863 \tabularnewline
0.02 & 84.3464879936886 & 0.886164880656257 \tabularnewline
0.03 & 85.0556770024737 & 0.681165646432971 \tabularnewline
0.04 & 85.5337439205139 & 0.570581561235881 \tabularnewline
0.05 & 85.8867079652971 & 0.529372123946907 \tabularnewline
0.06 & 86.1797143424185 & 0.521642534306561 \tabularnewline
0.07 & 86.4455052790529 & 0.542029046375676 \tabularnewline
0.08 & 86.7021933696312 & 0.583695631099509 \tabularnewline
0.09 & 86.9593966253379 & 0.631688835305073 \tabularnewline
0.1 & 87.2190108765451 & 0.667223683605566 \tabularnewline
0.11 & 87.4763847103701 & 0.675831723027338 \tabularnewline
0.12 & 87.7232460289125 & 0.652702168140311 \tabularnewline
0.13 & 87.9515057238679 & 0.604985679183928 \tabularnewline
0.14 & 88.1563716893379 & 0.547337394457979 \tabularnewline
0.15 & 88.3376048070495 & 0.494915971322509 \tabularnewline
0.16 & 88.4988212263007 & 0.457914613833509 \tabularnewline
0.17 & 88.6456519783358 & 0.439511265821546 \tabularnewline
0.18 & 88.7837853557906 & 0.43649526959224 \tabularnewline
0.19 & 88.9175771792084 & 0.442197585345975 \tabularnewline
0.2 & 89.0494462376468 & 0.45002704401279 \tabularnewline
0.21 & 89.1799564394896 & 0.454037098527781 \tabularnewline
0.22 & 89.3083562967425 & 0.451527786156323 \tabularnewline
0.23 & 89.4333215028666 & 0.441938867533152 \tabularnewline
0.24 & 89.5536693931701 & 0.428067271780028 \tabularnewline
0.25 & 89.6688741919673 & 0.41347633642032 \tabularnewline
0.26 & 89.7793064486646 & 0.40195722651961 \tabularnewline
0.27 & 89.8862229892633 & 0.397374245583426 \tabularnewline
0.28 & 89.9916037079817 & 0.401642266515395 \tabularnewline
0.29 & 90.0979414958715 & 0.4167908988207 \tabularnewline
0.3 & 90.2080482547671 & 0.443766515650616 \tabularnewline
0.31 & 90.3248780191015 & 0.483320312250062 \tabularnewline
0.32 & 90.4513272727371 & 0.534926550147258 \tabularnewline
0.33 & 90.5899743983772 & 0.596775430546674 \tabularnewline
0.34 & 90.7427598612951 & 0.66525913922364 \tabularnewline
0.35 & 90.9106608297169 & 0.735384443580794 \tabularnewline
0.36 & 91.0934479735969 & 0.801208784290188 \tabularnewline
0.37 & 91.2896081217923 & 0.857147524022799 \tabularnewline
0.38 & 91.4964738308737 & 0.898513284456193 \tabularnewline
0.39 & 91.7105382051651 & 0.922891500130754 \tabularnewline
0.4 & 91.9278782739716 & 0.92974046405929 \tabularnewline
0.41 & 92.1445859912218 & 0.920107227394076 \tabularnewline
0.42 & 92.3571197994108 & 0.896583947673833 \tabularnewline
0.43 & 92.5625308100683 & 0.861645885174753 \tabularnewline
0.44 & 92.7585642507812 & 0.818735630305125 \tabularnewline
0.45 & 92.9436686911941 & 0.770353814306262 \tabularnewline
0.46 & 93.116953893244 & 0.71900531258752 \tabularnewline
0.47 & 93.2781276180442 & 0.667182813927984 \tabularnewline
0.48 & 93.4274247744709 & 0.61731947824914 \tabularnewline
0.49 & 93.5655303181858 & 0.570604831428454 \tabularnewline
0.5 & 93.6934947651089 & 0.52916027330879 \tabularnewline
0.51 & 93.8126452925986 & 0.493724357210438 \tabularnewline
0.52 & 93.9245001886163 & 0.465003953271664 \tabularnewline
0.53 & 94.0306953794138 & 0.443387369050306 \tabularnewline
0.54 & 94.1329281416366 & 0.429084260920943 \tabularnewline
0.55 & 94.2329170094127 & 0.422060048643332 \tabularnewline
0.56 & 94.3323710919919 & 0.422196180531502 \tabularnewline
0.57 & 94.4329583258364 & 0.429373228100661 \tabularnewline
0.58 & 94.5362613725035 & 0.442839897027016 \tabularnewline
0.59 & 94.6437125212825 & 0.46199613794381 \tabularnewline
0.6 & 94.7565058070942 & 0.485260560684927 \tabularnewline
0.61 & 94.8754956311291 & 0.511429006373905 \tabularnewline
0.62 & 95.0011042043966 & 0.538010232294106 \tabularnewline
0.63 & 95.1332698508595 & 0.562713762579147 \tabularnewline
0.64 & 95.2714678555865 & 0.583508743082273 \tabularnewline
0.65 & 95.4148206542743 & 0.599124696228692 \tabularnewline
0.66 & 95.5622867145233 & 0.609287916864988 \tabularnewline
0.67 & 95.712887510237 & 0.614712770549822 \tabularnewline
0.68 & 95.8659143918139 & 0.617312596188773 \tabularnewline
0.69 & 96.0210636268455 & 0.618902366995681 \tabularnewline
0.7 & 96.1784782149933 & 0.621681780388316 \tabularnewline
0.71 & 96.3387135744501 & 0.62660568485278 \tabularnewline
0.72 & 96.5026662448562 & 0.635141251608058 \tabularnewline
0.73 & 96.6714926128813 & 0.647516822285143 \tabularnewline
0.74 & 96.846503848138 & 0.664163031480711 \tabularnewline
0.75 & 97.0289864163667 & 0.685088482561551 \tabularnewline
0.76 & 97.2199074608211 & 0.708687383083785 \tabularnewline
0.77 & 97.4195410046771 & 0.731778076760251 \tabularnewline
0.78 & 97.6271640954729 & 0.749442480534264 \tabularnewline
0.79 & 97.8410447291098 & 0.757232775909805 \tabularnewline
0.8 & 98.0588960656672 & 0.753430640515203 \tabularnewline
0.81 & 98.2787848596175 & 0.740143170229203 \tabularnewline
0.82 & 98.5002328285899 & 0.72451101406493 \tabularnewline
0.83 & 98.7250795312949 & 0.716014249101041 \tabularnewline
0.84 & 98.9577006911479 & 0.723682434133579 \tabularnewline
0.85 & 99.2044023065904 & 0.751827221280027 \tabularnewline
0.86 & 99.4721314006252 & 0.798960652051455 \tabularnewline
0.87 & 99.7669421143302 & 0.85751882384468 \tabularnewline
0.88 & 100.092917731381 & 0.917643695328646 \tabularnewline
0.89 & 100.452522680435 & 0.970881891287511 \tabularnewline
0.9 & 100.849469189355 & 1.01799080234259 \tabularnewline
0.91 & 101.29441969413 & 1.07695818804665 \tabularnewline
0.92 & 101.81125737466 & 1.18417043345864 \tabularnewline
0.93 & 102.437777854297 & 1.36938583165475 \tabularnewline
0.94 & 103.213934203761 & 1.60862075573177 \tabularnewline
0.95 & 104.159249823911 & 1.80845752811706 \tabularnewline
0.96 & 105.253053972472 & 1.86652941312622 \tabularnewline
0.97 & 106.423243985309 & 1.73281706464702 \tabularnewline
0.98 & 107.527406685151 & 1.34865324843342 \tabularnewline
0.99 & 108.350219770906 & 0.693554048119327 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293191&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]83.3771749197401[/C][C]1.06436273672863[/C][/ROW]
[ROW][C]0.02[/C][C]84.3464879936886[/C][C]0.886164880656257[/C][/ROW]
[ROW][C]0.03[/C][C]85.0556770024737[/C][C]0.681165646432971[/C][/ROW]
[ROW][C]0.04[/C][C]85.5337439205139[/C][C]0.570581561235881[/C][/ROW]
[ROW][C]0.05[/C][C]85.8867079652971[/C][C]0.529372123946907[/C][/ROW]
[ROW][C]0.06[/C][C]86.1797143424185[/C][C]0.521642534306561[/C][/ROW]
[ROW][C]0.07[/C][C]86.4455052790529[/C][C]0.542029046375676[/C][/ROW]
[ROW][C]0.08[/C][C]86.7021933696312[/C][C]0.583695631099509[/C][/ROW]
[ROW][C]0.09[/C][C]86.9593966253379[/C][C]0.631688835305073[/C][/ROW]
[ROW][C]0.1[/C][C]87.2190108765451[/C][C]0.667223683605566[/C][/ROW]
[ROW][C]0.11[/C][C]87.4763847103701[/C][C]0.675831723027338[/C][/ROW]
[ROW][C]0.12[/C][C]87.7232460289125[/C][C]0.652702168140311[/C][/ROW]
[ROW][C]0.13[/C][C]87.9515057238679[/C][C]0.604985679183928[/C][/ROW]
[ROW][C]0.14[/C][C]88.1563716893379[/C][C]0.547337394457979[/C][/ROW]
[ROW][C]0.15[/C][C]88.3376048070495[/C][C]0.494915971322509[/C][/ROW]
[ROW][C]0.16[/C][C]88.4988212263007[/C][C]0.457914613833509[/C][/ROW]
[ROW][C]0.17[/C][C]88.6456519783358[/C][C]0.439511265821546[/C][/ROW]
[ROW][C]0.18[/C][C]88.7837853557906[/C][C]0.43649526959224[/C][/ROW]
[ROW][C]0.19[/C][C]88.9175771792084[/C][C]0.442197585345975[/C][/ROW]
[ROW][C]0.2[/C][C]89.0494462376468[/C][C]0.45002704401279[/C][/ROW]
[ROW][C]0.21[/C][C]89.1799564394896[/C][C]0.454037098527781[/C][/ROW]
[ROW][C]0.22[/C][C]89.3083562967425[/C][C]0.451527786156323[/C][/ROW]
[ROW][C]0.23[/C][C]89.4333215028666[/C][C]0.441938867533152[/C][/ROW]
[ROW][C]0.24[/C][C]89.5536693931701[/C][C]0.428067271780028[/C][/ROW]
[ROW][C]0.25[/C][C]89.6688741919673[/C][C]0.41347633642032[/C][/ROW]
[ROW][C]0.26[/C][C]89.7793064486646[/C][C]0.40195722651961[/C][/ROW]
[ROW][C]0.27[/C][C]89.8862229892633[/C][C]0.397374245583426[/C][/ROW]
[ROW][C]0.28[/C][C]89.9916037079817[/C][C]0.401642266515395[/C][/ROW]
[ROW][C]0.29[/C][C]90.0979414958715[/C][C]0.4167908988207[/C][/ROW]
[ROW][C]0.3[/C][C]90.2080482547671[/C][C]0.443766515650616[/C][/ROW]
[ROW][C]0.31[/C][C]90.3248780191015[/C][C]0.483320312250062[/C][/ROW]
[ROW][C]0.32[/C][C]90.4513272727371[/C][C]0.534926550147258[/C][/ROW]
[ROW][C]0.33[/C][C]90.5899743983772[/C][C]0.596775430546674[/C][/ROW]
[ROW][C]0.34[/C][C]90.7427598612951[/C][C]0.66525913922364[/C][/ROW]
[ROW][C]0.35[/C][C]90.9106608297169[/C][C]0.735384443580794[/C][/ROW]
[ROW][C]0.36[/C][C]91.0934479735969[/C][C]0.801208784290188[/C][/ROW]
[ROW][C]0.37[/C][C]91.2896081217923[/C][C]0.857147524022799[/C][/ROW]
[ROW][C]0.38[/C][C]91.4964738308737[/C][C]0.898513284456193[/C][/ROW]
[ROW][C]0.39[/C][C]91.7105382051651[/C][C]0.922891500130754[/C][/ROW]
[ROW][C]0.4[/C][C]91.9278782739716[/C][C]0.92974046405929[/C][/ROW]
[ROW][C]0.41[/C][C]92.1445859912218[/C][C]0.920107227394076[/C][/ROW]
[ROW][C]0.42[/C][C]92.3571197994108[/C][C]0.896583947673833[/C][/ROW]
[ROW][C]0.43[/C][C]92.5625308100683[/C][C]0.861645885174753[/C][/ROW]
[ROW][C]0.44[/C][C]92.7585642507812[/C][C]0.818735630305125[/C][/ROW]
[ROW][C]0.45[/C][C]92.9436686911941[/C][C]0.770353814306262[/C][/ROW]
[ROW][C]0.46[/C][C]93.116953893244[/C][C]0.71900531258752[/C][/ROW]
[ROW][C]0.47[/C][C]93.2781276180442[/C][C]0.667182813927984[/C][/ROW]
[ROW][C]0.48[/C][C]93.4274247744709[/C][C]0.61731947824914[/C][/ROW]
[ROW][C]0.49[/C][C]93.5655303181858[/C][C]0.570604831428454[/C][/ROW]
[ROW][C]0.5[/C][C]93.6934947651089[/C][C]0.52916027330879[/C][/ROW]
[ROW][C]0.51[/C][C]93.8126452925986[/C][C]0.493724357210438[/C][/ROW]
[ROW][C]0.52[/C][C]93.9245001886163[/C][C]0.465003953271664[/C][/ROW]
[ROW][C]0.53[/C][C]94.0306953794138[/C][C]0.443387369050306[/C][/ROW]
[ROW][C]0.54[/C][C]94.1329281416366[/C][C]0.429084260920943[/C][/ROW]
[ROW][C]0.55[/C][C]94.2329170094127[/C][C]0.422060048643332[/C][/ROW]
[ROW][C]0.56[/C][C]94.3323710919919[/C][C]0.422196180531502[/C][/ROW]
[ROW][C]0.57[/C][C]94.4329583258364[/C][C]0.429373228100661[/C][/ROW]
[ROW][C]0.58[/C][C]94.5362613725035[/C][C]0.442839897027016[/C][/ROW]
[ROW][C]0.59[/C][C]94.6437125212825[/C][C]0.46199613794381[/C][/ROW]
[ROW][C]0.6[/C][C]94.7565058070942[/C][C]0.485260560684927[/C][/ROW]
[ROW][C]0.61[/C][C]94.8754956311291[/C][C]0.511429006373905[/C][/ROW]
[ROW][C]0.62[/C][C]95.0011042043966[/C][C]0.538010232294106[/C][/ROW]
[ROW][C]0.63[/C][C]95.1332698508595[/C][C]0.562713762579147[/C][/ROW]
[ROW][C]0.64[/C][C]95.2714678555865[/C][C]0.583508743082273[/C][/ROW]
[ROW][C]0.65[/C][C]95.4148206542743[/C][C]0.599124696228692[/C][/ROW]
[ROW][C]0.66[/C][C]95.5622867145233[/C][C]0.609287916864988[/C][/ROW]
[ROW][C]0.67[/C][C]95.712887510237[/C][C]0.614712770549822[/C][/ROW]
[ROW][C]0.68[/C][C]95.8659143918139[/C][C]0.617312596188773[/C][/ROW]
[ROW][C]0.69[/C][C]96.0210636268455[/C][C]0.618902366995681[/C][/ROW]
[ROW][C]0.7[/C][C]96.1784782149933[/C][C]0.621681780388316[/C][/ROW]
[ROW][C]0.71[/C][C]96.3387135744501[/C][C]0.62660568485278[/C][/ROW]
[ROW][C]0.72[/C][C]96.5026662448562[/C][C]0.635141251608058[/C][/ROW]
[ROW][C]0.73[/C][C]96.6714926128813[/C][C]0.647516822285143[/C][/ROW]
[ROW][C]0.74[/C][C]96.846503848138[/C][C]0.664163031480711[/C][/ROW]
[ROW][C]0.75[/C][C]97.0289864163667[/C][C]0.685088482561551[/C][/ROW]
[ROW][C]0.76[/C][C]97.2199074608211[/C][C]0.708687383083785[/C][/ROW]
[ROW][C]0.77[/C][C]97.4195410046771[/C][C]0.731778076760251[/C][/ROW]
[ROW][C]0.78[/C][C]97.6271640954729[/C][C]0.749442480534264[/C][/ROW]
[ROW][C]0.79[/C][C]97.8410447291098[/C][C]0.757232775909805[/C][/ROW]
[ROW][C]0.8[/C][C]98.0588960656672[/C][C]0.753430640515203[/C][/ROW]
[ROW][C]0.81[/C][C]98.2787848596175[/C][C]0.740143170229203[/C][/ROW]
[ROW][C]0.82[/C][C]98.5002328285899[/C][C]0.72451101406493[/C][/ROW]
[ROW][C]0.83[/C][C]98.7250795312949[/C][C]0.716014249101041[/C][/ROW]
[ROW][C]0.84[/C][C]98.9577006911479[/C][C]0.723682434133579[/C][/ROW]
[ROW][C]0.85[/C][C]99.2044023065904[/C][C]0.751827221280027[/C][/ROW]
[ROW][C]0.86[/C][C]99.4721314006252[/C][C]0.798960652051455[/C][/ROW]
[ROW][C]0.87[/C][C]99.7669421143302[/C][C]0.85751882384468[/C][/ROW]
[ROW][C]0.88[/C][C]100.092917731381[/C][C]0.917643695328646[/C][/ROW]
[ROW][C]0.89[/C][C]100.452522680435[/C][C]0.970881891287511[/C][/ROW]
[ROW][C]0.9[/C][C]100.849469189355[/C][C]1.01799080234259[/C][/ROW]
[ROW][C]0.91[/C][C]101.29441969413[/C][C]1.07695818804665[/C][/ROW]
[ROW][C]0.92[/C][C]101.81125737466[/C][C]1.18417043345864[/C][/ROW]
[ROW][C]0.93[/C][C]102.437777854297[/C][C]1.36938583165475[/C][/ROW]
[ROW][C]0.94[/C][C]103.213934203761[/C][C]1.60862075573177[/C][/ROW]
[ROW][C]0.95[/C][C]104.159249823911[/C][C]1.80845752811706[/C][/ROW]
[ROW][C]0.96[/C][C]105.253053972472[/C][C]1.86652941312622[/C][/ROW]
[ROW][C]0.97[/C][C]106.423243985309[/C][C]1.73281706464702[/C][/ROW]
[ROW][C]0.98[/C][C]107.527406685151[/C][C]1.34865324843342[/C][/ROW]
[ROW][C]0.99[/C][C]108.350219770906[/C][C]0.693554048119327[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293191&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293191&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
0.0183.37717491974011.06436273672863
0.0284.34648799368860.886164880656257
0.0385.05567700247370.681165646432971
0.0485.53374392051390.570581561235881
0.0585.88670796529710.529372123946907
0.0686.17971434241850.521642534306561
0.0786.44550527905290.542029046375676
0.0886.70219336963120.583695631099509
0.0986.95939662533790.631688835305073
0.187.21901087654510.667223683605566
0.1187.47638471037010.675831723027338
0.1287.72324602891250.652702168140311
0.1387.95150572386790.604985679183928
0.1488.15637168933790.547337394457979
0.1588.33760480704950.494915971322509
0.1688.49882122630070.457914613833509
0.1788.64565197833580.439511265821546
0.1888.78378535579060.43649526959224
0.1988.91757717920840.442197585345975
0.289.04944623764680.45002704401279
0.2189.17995643948960.454037098527781
0.2289.30835629674250.451527786156323
0.2389.43332150286660.441938867533152
0.2489.55366939317010.428067271780028
0.2589.66887419196730.41347633642032
0.2689.77930644866460.40195722651961
0.2789.88622298926330.397374245583426
0.2889.99160370798170.401642266515395
0.2990.09794149587150.4167908988207
0.390.20804825476710.443766515650616
0.3190.32487801910150.483320312250062
0.3290.45132727273710.534926550147258
0.3390.58997439837720.596775430546674
0.3490.74275986129510.66525913922364
0.3590.91066082971690.735384443580794
0.3691.09344797359690.801208784290188
0.3791.28960812179230.857147524022799
0.3891.49647383087370.898513284456193
0.3991.71053820516510.922891500130754
0.491.92787827397160.92974046405929
0.4192.14458599122180.920107227394076
0.4292.35711979941080.896583947673833
0.4392.56253081006830.861645885174753
0.4492.75856425078120.818735630305125
0.4592.94366869119410.770353814306262
0.4693.1169538932440.71900531258752
0.4793.27812761804420.667182813927984
0.4893.42742477447090.61731947824914
0.4993.56553031818580.570604831428454
0.593.69349476510890.52916027330879
0.5193.81264529259860.493724357210438
0.5293.92450018861630.465003953271664
0.5394.03069537941380.443387369050306
0.5494.13292814163660.429084260920943
0.5594.23291700941270.422060048643332
0.5694.33237109199190.422196180531502
0.5794.43295832583640.429373228100661
0.5894.53626137250350.442839897027016
0.5994.64371252128250.46199613794381
0.694.75650580709420.485260560684927
0.6194.87549563112910.511429006373905
0.6295.00110420439660.538010232294106
0.6395.13326985085950.562713762579147
0.6495.27146785558650.583508743082273
0.6595.41482065427430.599124696228692
0.6695.56228671452330.609287916864988
0.6795.7128875102370.614712770549822
0.6895.86591439181390.617312596188773
0.6996.02106362684550.618902366995681
0.796.17847821499330.621681780388316
0.7196.33871357445010.62660568485278
0.7296.50266624485620.635141251608058
0.7396.67149261288130.647516822285143
0.7496.8465038481380.664163031480711
0.7597.02898641636670.685088482561551
0.7697.21990746082110.708687383083785
0.7797.41954100467710.731778076760251
0.7897.62716409547290.749442480534264
0.7997.84104472910980.757232775909805
0.898.05889606566720.753430640515203
0.8198.27878485961750.740143170229203
0.8298.50023282858990.72451101406493
0.8398.72507953129490.716014249101041
0.8498.95770069114790.723682434133579
0.8599.20440230659040.751827221280027
0.8699.47213140062520.798960652051455
0.8799.76694211433020.85751882384468
0.88100.0929177313810.917643695328646
0.89100.4525226804350.970881891287511
0.9100.8494691893551.01799080234259
0.91101.294419694131.07695818804665
0.92101.811257374661.18417043345864
0.93102.4377778542971.36938583165475
0.94103.2139342037611.60862075573177
0.95104.1592498239111.80845752811706
0.96105.2530539724721.86652941312622
0.97106.4232439853091.73281706464702
0.98107.5274066851511.34865324843342
0.99108.3502197709060.693554048119327


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = no ; par3 = 512 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.01'
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')