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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 computationMon, 29 Feb 2016 16:08:09 +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/29/t14567621337r9kz9uvyom8ojh.htm/, Retrieved Tue, 30 Apr 2024 11:38:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292996, Retrieved Tue, 30 Apr 2024 11:38:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact108

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] [] [2016-02-29 16:08:09] [809417a83781bff5791db815734e4daf] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
90.18
90.5
90.63
90.75
90.76
90.67
90.5
90.8
91.22
92.19
92.51
92.67
93.75
94.1
94.96
95.21
95.33
95.43
95.44
95.64
95.8
95.87
95.98
96.07
96.23
96.32
96.55
96.73
96.61
96.64
96.86
97.02
97.22
98.1
98.46
98.6
98.78
99.13
99.48
99.62
99.68
99.95
100.12
100.25
100.47
100.7
100.88
100.95
100.92
101.12
101.19
101.28
101.28
101.3
101.3
101.36
101.45
101.58
101.73
101.84
102.01
102.14
102.16
102.32
102.41
102.4
102.43
102.42
102.3
102.65
102.72
102.86

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292996&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292996&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292996&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0190.26361601948670.246170019178518
0.0290.37436021827730.16829281340627
0.0390.47230968737960.126577385126992
0.0490.55068591138460.127446879024468
0.0590.62017839208860.158488700189552
0.0690.69400895530870.218665183489094
0.0790.78357537866990.312226390591933
0.0890.89851246336750.438975830393742
0.0991.04658856111370.591021048481616
0.191.23281230386850.755908568015975
0.1191.45858067557560.91897353807546
0.1291.72149708137151.06706958901296
0.1392.01592840231881.19020297751708
0.1492.33401218911921.28226738375377
0.1592.66675130798181.34028908195571
0.1693.0049464241711.36374924940597
0.1793.33988333906751.3533779076046
0.1893.6638122947551.31189174349695
0.1993.97029281616351.243577323756
0.294.25444956320091.154380376748
0.2194.51313677997791.05201161805191
0.2294.74497961008990.944151189656391
0.2394.95026458901820.838587158638431
0.2495.13068110162560.741565143784462
0.2595.28895148179890.657689358941123
0.2695.42841228987180.589416932688118
0.2795.55261466620380.537097175427799
0.2895.66499884609340.499714319350511
0.2995.76867444173970.475113070740469
0.395.86631285465620.460945144942674
0.3195.96013787734530.455167263713107
0.3296.05198822086790.456528633302515
0.3396.14342116997180.463757908723024
0.3496.23582778900610.476944209830423
0.3596.33053469697130.496736398827571
0.3696.42887363184310.523813774313211
0.3796.53220695394670.558452310210405
0.3896.64190462919010.601283886561475
0.3996.75927592267180.651537408447837
0.496.88546653759030.707879658219825
0.4197.02133830877540.768313509521394
0.4297.16735258575940.829833636427138
0.4397.32347903320070.889345408774294
0.4497.48914823228590.943178811421831
0.4597.66325955133870.988611735732711
0.4697.84424651735841.02289448501327
0.4798.03019221927651.04495401434759
0.4898.21897909423751.05380644658692
0.4998.40845238855791.05003090999952
0.598.59657546785821.034880601511
0.5198.78155787727241.01033662466415
0.5298.96194272230280.978679760800199
0.5399.13664717043330.941929340522521
0.5499.30495718866620.902680338269348
0.5599.46648380421710.862313013895253
0.5699.62109241807690.822349330577359
0.5799.76881870665930.78332780472141
0.5899.90978450677160.74545900187022
0.59100.0441251559340.708696061469839
0.6100.1719365709320.672315295251977
0.61100.2932464868150.635940386674474
0.62100.4080103656310.599218615064066
0.63100.5161291056380.561568025734208
0.64100.6174833071850.523179408404755
0.65100.7119777303260.484079583750293
0.66100.7995896588520.444927953384487
0.67100.8804158036860.406442727913265
0.68100.954713565230.369486398487992
0.69101.0229333514530.33508483526069
0.7101.0857388659960.304336330948495
0.71101.144011892250.27842035984773
0.72101.1988375888110.258290974870541
0.73101.2514664343530.245033225740101
0.74101.3032504369470.238997758072839
0.75101.3555544014750.240154315422967
0.76101.4096476637560.247625449379788
0.77101.4665868444680.259693971118752
0.78101.5271045072470.274361264468555
0.79101.5915207207610.289184908325908
0.8101.6596933808950.301862257391996
0.81101.7310184042930.31037951569711
0.82101.8044831101870.313114614223943
0.83101.8787667488170.309163087371109
0.84101.9523735254090.298355455742531
0.85102.0237784633690.281129797702885
0.86102.0915678426740.258552672977836
0.87102.1545653525630.23202960550192
0.88102.2119511315590.203326423250042
0.89102.2633967761460.174093878204883
0.9102.3092412051070.146431129560166
0.91102.3507008851970.122837059102257
0.92102.3900318095380.106805538722612
0.93102.4304644898450.102150757412415
0.94102.4757098723380.109951191716215
0.95102.5290164808270.124780209449671
0.96102.592122674910.13666176861939
0.97102.6644775532490.137626403637833
0.98102.7420274489110.130375296992725
0.99102.8138724002570.129506117844938

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 90.2636160194867 & 0.246170019178518 \tabularnewline
0.02 & 90.3743602182773 & 0.16829281340627 \tabularnewline
0.03 & 90.4723096873796 & 0.126577385126992 \tabularnewline
0.04 & 90.5506859113846 & 0.127446879024468 \tabularnewline
0.05 & 90.6201783920886 & 0.158488700189552 \tabularnewline
0.06 & 90.6940089553087 & 0.218665183489094 \tabularnewline
0.07 & 90.7835753786699 & 0.312226390591933 \tabularnewline
0.08 & 90.8985124633675 & 0.438975830393742 \tabularnewline
0.09 & 91.0465885611137 & 0.591021048481616 \tabularnewline
0.1 & 91.2328123038685 & 0.755908568015975 \tabularnewline
0.11 & 91.4585806755756 & 0.91897353807546 \tabularnewline
0.12 & 91.7214970813715 & 1.06706958901296 \tabularnewline
0.13 & 92.0159284023188 & 1.19020297751708 \tabularnewline
0.14 & 92.3340121891192 & 1.28226738375377 \tabularnewline
0.15 & 92.6667513079818 & 1.34028908195571 \tabularnewline
0.16 & 93.004946424171 & 1.36374924940597 \tabularnewline
0.17 & 93.3398833390675 & 1.3533779076046 \tabularnewline
0.18 & 93.663812294755 & 1.31189174349695 \tabularnewline
0.19 & 93.9702928161635 & 1.243577323756 \tabularnewline
0.2 & 94.2544495632009 & 1.154380376748 \tabularnewline
0.21 & 94.5131367799779 & 1.05201161805191 \tabularnewline
0.22 & 94.7449796100899 & 0.944151189656391 \tabularnewline
0.23 & 94.9502645890182 & 0.838587158638431 \tabularnewline
0.24 & 95.1306811016256 & 0.741565143784462 \tabularnewline
0.25 & 95.2889514817989 & 0.657689358941123 \tabularnewline
0.26 & 95.4284122898718 & 0.589416932688118 \tabularnewline
0.27 & 95.5526146662038 & 0.537097175427799 \tabularnewline
0.28 & 95.6649988460934 & 0.499714319350511 \tabularnewline
0.29 & 95.7686744417397 & 0.475113070740469 \tabularnewline
0.3 & 95.8663128546562 & 0.460945144942674 \tabularnewline
0.31 & 95.9601378773453 & 0.455167263713107 \tabularnewline
0.32 & 96.0519882208679 & 0.456528633302515 \tabularnewline
0.33 & 96.1434211699718 & 0.463757908723024 \tabularnewline
0.34 & 96.2358277890061 & 0.476944209830423 \tabularnewline
0.35 & 96.3305346969713 & 0.496736398827571 \tabularnewline
0.36 & 96.4288736318431 & 0.523813774313211 \tabularnewline
0.37 & 96.5322069539467 & 0.558452310210405 \tabularnewline
0.38 & 96.6419046291901 & 0.601283886561475 \tabularnewline
0.39 & 96.7592759226718 & 0.651537408447837 \tabularnewline
0.4 & 96.8854665375903 & 0.707879658219825 \tabularnewline
0.41 & 97.0213383087754 & 0.768313509521394 \tabularnewline
0.42 & 97.1673525857594 & 0.829833636427138 \tabularnewline
0.43 & 97.3234790332007 & 0.889345408774294 \tabularnewline
0.44 & 97.4891482322859 & 0.943178811421831 \tabularnewline
0.45 & 97.6632595513387 & 0.988611735732711 \tabularnewline
0.46 & 97.8442465173584 & 1.02289448501327 \tabularnewline
0.47 & 98.0301922192765 & 1.04495401434759 \tabularnewline
0.48 & 98.2189790942375 & 1.05380644658692 \tabularnewline
0.49 & 98.4084523885579 & 1.05003090999952 \tabularnewline
0.5 & 98.5965754678582 & 1.034880601511 \tabularnewline
0.51 & 98.7815578772724 & 1.01033662466415 \tabularnewline
0.52 & 98.9619427223028 & 0.978679760800199 \tabularnewline
0.53 & 99.1366471704333 & 0.941929340522521 \tabularnewline
0.54 & 99.3049571886662 & 0.902680338269348 \tabularnewline
0.55 & 99.4664838042171 & 0.862313013895253 \tabularnewline
0.56 & 99.6210924180769 & 0.822349330577359 \tabularnewline
0.57 & 99.7688187066593 & 0.78332780472141 \tabularnewline
0.58 & 99.9097845067716 & 0.74545900187022 \tabularnewline
0.59 & 100.044125155934 & 0.708696061469839 \tabularnewline
0.6 & 100.171936570932 & 0.672315295251977 \tabularnewline
0.61 & 100.293246486815 & 0.635940386674474 \tabularnewline
0.62 & 100.408010365631 & 0.599218615064066 \tabularnewline
0.63 & 100.516129105638 & 0.561568025734208 \tabularnewline
0.64 & 100.617483307185 & 0.523179408404755 \tabularnewline
0.65 & 100.711977730326 & 0.484079583750293 \tabularnewline
0.66 & 100.799589658852 & 0.444927953384487 \tabularnewline
0.67 & 100.880415803686 & 0.406442727913265 \tabularnewline
0.68 & 100.95471356523 & 0.369486398487992 \tabularnewline
0.69 & 101.022933351453 & 0.33508483526069 \tabularnewline
0.7 & 101.085738865996 & 0.304336330948495 \tabularnewline
0.71 & 101.14401189225 & 0.27842035984773 \tabularnewline
0.72 & 101.198837588811 & 0.258290974870541 \tabularnewline
0.73 & 101.251466434353 & 0.245033225740101 \tabularnewline
0.74 & 101.303250436947 & 0.238997758072839 \tabularnewline
0.75 & 101.355554401475 & 0.240154315422967 \tabularnewline
0.76 & 101.409647663756 & 0.247625449379788 \tabularnewline
0.77 & 101.466586844468 & 0.259693971118752 \tabularnewline
0.78 & 101.527104507247 & 0.274361264468555 \tabularnewline
0.79 & 101.591520720761 & 0.289184908325908 \tabularnewline
0.8 & 101.659693380895 & 0.301862257391996 \tabularnewline
0.81 & 101.731018404293 & 0.31037951569711 \tabularnewline
0.82 & 101.804483110187 & 0.313114614223943 \tabularnewline
0.83 & 101.878766748817 & 0.309163087371109 \tabularnewline
0.84 & 101.952373525409 & 0.298355455742531 \tabularnewline
0.85 & 102.023778463369 & 0.281129797702885 \tabularnewline
0.86 & 102.091567842674 & 0.258552672977836 \tabularnewline
0.87 & 102.154565352563 & 0.23202960550192 \tabularnewline
0.88 & 102.211951131559 & 0.203326423250042 \tabularnewline
0.89 & 102.263396776146 & 0.174093878204883 \tabularnewline
0.9 & 102.309241205107 & 0.146431129560166 \tabularnewline
0.91 & 102.350700885197 & 0.122837059102257 \tabularnewline
0.92 & 102.390031809538 & 0.106805538722612 \tabularnewline
0.93 & 102.430464489845 & 0.102150757412415 \tabularnewline
0.94 & 102.475709872338 & 0.109951191716215 \tabularnewline
0.95 & 102.529016480827 & 0.124780209449671 \tabularnewline
0.96 & 102.59212267491 & 0.13666176861939 \tabularnewline
0.97 & 102.664477553249 & 0.137626403637833 \tabularnewline
0.98 & 102.742027448911 & 0.130375296992725 \tabularnewline
0.99 & 102.813872400257 & 0.129506117844938 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292996&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]90.2636160194867[/C][C]0.246170019178518[/C][/ROW]
[ROW][C]0.02[/C][C]90.3743602182773[/C][C]0.16829281340627[/C][/ROW]
[ROW][C]0.03[/C][C]90.4723096873796[/C][C]0.126577385126992[/C][/ROW]
[ROW][C]0.04[/C][C]90.5506859113846[/C][C]0.127446879024468[/C][/ROW]
[ROW][C]0.05[/C][C]90.6201783920886[/C][C]0.158488700189552[/C][/ROW]
[ROW][C]0.06[/C][C]90.6940089553087[/C][C]0.218665183489094[/C][/ROW]
[ROW][C]0.07[/C][C]90.7835753786699[/C][C]0.312226390591933[/C][/ROW]
[ROW][C]0.08[/C][C]90.8985124633675[/C][C]0.438975830393742[/C][/ROW]
[ROW][C]0.09[/C][C]91.0465885611137[/C][C]0.591021048481616[/C][/ROW]
[ROW][C]0.1[/C][C]91.2328123038685[/C][C]0.755908568015975[/C][/ROW]
[ROW][C]0.11[/C][C]91.4585806755756[/C][C]0.91897353807546[/C][/ROW]
[ROW][C]0.12[/C][C]91.7214970813715[/C][C]1.06706958901296[/C][/ROW]
[ROW][C]0.13[/C][C]92.0159284023188[/C][C]1.19020297751708[/C][/ROW]
[ROW][C]0.14[/C][C]92.3340121891192[/C][C]1.28226738375377[/C][/ROW]
[ROW][C]0.15[/C][C]92.6667513079818[/C][C]1.34028908195571[/C][/ROW]
[ROW][C]0.16[/C][C]93.004946424171[/C][C]1.36374924940597[/C][/ROW]
[ROW][C]0.17[/C][C]93.3398833390675[/C][C]1.3533779076046[/C][/ROW]
[ROW][C]0.18[/C][C]93.663812294755[/C][C]1.31189174349695[/C][/ROW]
[ROW][C]0.19[/C][C]93.9702928161635[/C][C]1.243577323756[/C][/ROW]
[ROW][C]0.2[/C][C]94.2544495632009[/C][C]1.154380376748[/C][/ROW]
[ROW][C]0.21[/C][C]94.5131367799779[/C][C]1.05201161805191[/C][/ROW]
[ROW][C]0.22[/C][C]94.7449796100899[/C][C]0.944151189656391[/C][/ROW]
[ROW][C]0.23[/C][C]94.9502645890182[/C][C]0.838587158638431[/C][/ROW]
[ROW][C]0.24[/C][C]95.1306811016256[/C][C]0.741565143784462[/C][/ROW]
[ROW][C]0.25[/C][C]95.2889514817989[/C][C]0.657689358941123[/C][/ROW]
[ROW][C]0.26[/C][C]95.4284122898718[/C][C]0.589416932688118[/C][/ROW]
[ROW][C]0.27[/C][C]95.5526146662038[/C][C]0.537097175427799[/C][/ROW]
[ROW][C]0.28[/C][C]95.6649988460934[/C][C]0.499714319350511[/C][/ROW]
[ROW][C]0.29[/C][C]95.7686744417397[/C][C]0.475113070740469[/C][/ROW]
[ROW][C]0.3[/C][C]95.8663128546562[/C][C]0.460945144942674[/C][/ROW]
[ROW][C]0.31[/C][C]95.9601378773453[/C][C]0.455167263713107[/C][/ROW]
[ROW][C]0.32[/C][C]96.0519882208679[/C][C]0.456528633302515[/C][/ROW]
[ROW][C]0.33[/C][C]96.1434211699718[/C][C]0.463757908723024[/C][/ROW]
[ROW][C]0.34[/C][C]96.2358277890061[/C][C]0.476944209830423[/C][/ROW]
[ROW][C]0.35[/C][C]96.3305346969713[/C][C]0.496736398827571[/C][/ROW]
[ROW][C]0.36[/C][C]96.4288736318431[/C][C]0.523813774313211[/C][/ROW]
[ROW][C]0.37[/C][C]96.5322069539467[/C][C]0.558452310210405[/C][/ROW]
[ROW][C]0.38[/C][C]96.6419046291901[/C][C]0.601283886561475[/C][/ROW]
[ROW][C]0.39[/C][C]96.7592759226718[/C][C]0.651537408447837[/C][/ROW]
[ROW][C]0.4[/C][C]96.8854665375903[/C][C]0.707879658219825[/C][/ROW]
[ROW][C]0.41[/C][C]97.0213383087754[/C][C]0.768313509521394[/C][/ROW]
[ROW][C]0.42[/C][C]97.1673525857594[/C][C]0.829833636427138[/C][/ROW]
[ROW][C]0.43[/C][C]97.3234790332007[/C][C]0.889345408774294[/C][/ROW]
[ROW][C]0.44[/C][C]97.4891482322859[/C][C]0.943178811421831[/C][/ROW]
[ROW][C]0.45[/C][C]97.6632595513387[/C][C]0.988611735732711[/C][/ROW]
[ROW][C]0.46[/C][C]97.8442465173584[/C][C]1.02289448501327[/C][/ROW]
[ROW][C]0.47[/C][C]98.0301922192765[/C][C]1.04495401434759[/C][/ROW]
[ROW][C]0.48[/C][C]98.2189790942375[/C][C]1.05380644658692[/C][/ROW]
[ROW][C]0.49[/C][C]98.4084523885579[/C][C]1.05003090999952[/C][/ROW]
[ROW][C]0.5[/C][C]98.5965754678582[/C][C]1.034880601511[/C][/ROW]
[ROW][C]0.51[/C][C]98.7815578772724[/C][C]1.01033662466415[/C][/ROW]
[ROW][C]0.52[/C][C]98.9619427223028[/C][C]0.978679760800199[/C][/ROW]
[ROW][C]0.53[/C][C]99.1366471704333[/C][C]0.941929340522521[/C][/ROW]
[ROW][C]0.54[/C][C]99.3049571886662[/C][C]0.902680338269348[/C][/ROW]
[ROW][C]0.55[/C][C]99.4664838042171[/C][C]0.862313013895253[/C][/ROW]
[ROW][C]0.56[/C][C]99.6210924180769[/C][C]0.822349330577359[/C][/ROW]
[ROW][C]0.57[/C][C]99.7688187066593[/C][C]0.78332780472141[/C][/ROW]
[ROW][C]0.58[/C][C]99.9097845067716[/C][C]0.74545900187022[/C][/ROW]
[ROW][C]0.59[/C][C]100.044125155934[/C][C]0.708696061469839[/C][/ROW]
[ROW][C]0.6[/C][C]100.171936570932[/C][C]0.672315295251977[/C][/ROW]
[ROW][C]0.61[/C][C]100.293246486815[/C][C]0.635940386674474[/C][/ROW]
[ROW][C]0.62[/C][C]100.408010365631[/C][C]0.599218615064066[/C][/ROW]
[ROW][C]0.63[/C][C]100.516129105638[/C][C]0.561568025734208[/C][/ROW]
[ROW][C]0.64[/C][C]100.617483307185[/C][C]0.523179408404755[/C][/ROW]
[ROW][C]0.65[/C][C]100.711977730326[/C][C]0.484079583750293[/C][/ROW]
[ROW][C]0.66[/C][C]100.799589658852[/C][C]0.444927953384487[/C][/ROW]
[ROW][C]0.67[/C][C]100.880415803686[/C][C]0.406442727913265[/C][/ROW]
[ROW][C]0.68[/C][C]100.95471356523[/C][C]0.369486398487992[/C][/ROW]
[ROW][C]0.69[/C][C]101.022933351453[/C][C]0.33508483526069[/C][/ROW]
[ROW][C]0.7[/C][C]101.085738865996[/C][C]0.304336330948495[/C][/ROW]
[ROW][C]0.71[/C][C]101.14401189225[/C][C]0.27842035984773[/C][/ROW]
[ROW][C]0.72[/C][C]101.198837588811[/C][C]0.258290974870541[/C][/ROW]
[ROW][C]0.73[/C][C]101.251466434353[/C][C]0.245033225740101[/C][/ROW]
[ROW][C]0.74[/C][C]101.303250436947[/C][C]0.238997758072839[/C][/ROW]
[ROW][C]0.75[/C][C]101.355554401475[/C][C]0.240154315422967[/C][/ROW]
[ROW][C]0.76[/C][C]101.409647663756[/C][C]0.247625449379788[/C][/ROW]
[ROW][C]0.77[/C][C]101.466586844468[/C][C]0.259693971118752[/C][/ROW]
[ROW][C]0.78[/C][C]101.527104507247[/C][C]0.274361264468555[/C][/ROW]
[ROW][C]0.79[/C][C]101.591520720761[/C][C]0.289184908325908[/C][/ROW]
[ROW][C]0.8[/C][C]101.659693380895[/C][C]0.301862257391996[/C][/ROW]
[ROW][C]0.81[/C][C]101.731018404293[/C][C]0.31037951569711[/C][/ROW]
[ROW][C]0.82[/C][C]101.804483110187[/C][C]0.313114614223943[/C][/ROW]
[ROW][C]0.83[/C][C]101.878766748817[/C][C]0.309163087371109[/C][/ROW]
[ROW][C]0.84[/C][C]101.952373525409[/C][C]0.298355455742531[/C][/ROW]
[ROW][C]0.85[/C][C]102.023778463369[/C][C]0.281129797702885[/C][/ROW]
[ROW][C]0.86[/C][C]102.091567842674[/C][C]0.258552672977836[/C][/ROW]
[ROW][C]0.87[/C][C]102.154565352563[/C][C]0.23202960550192[/C][/ROW]
[ROW][C]0.88[/C][C]102.211951131559[/C][C]0.203326423250042[/C][/ROW]
[ROW][C]0.89[/C][C]102.263396776146[/C][C]0.174093878204883[/C][/ROW]
[ROW][C]0.9[/C][C]102.309241205107[/C][C]0.146431129560166[/C][/ROW]
[ROW][C]0.91[/C][C]102.350700885197[/C][C]0.122837059102257[/C][/ROW]
[ROW][C]0.92[/C][C]102.390031809538[/C][C]0.106805538722612[/C][/ROW]
[ROW][C]0.93[/C][C]102.430464489845[/C][C]0.102150757412415[/C][/ROW]
[ROW][C]0.94[/C][C]102.475709872338[/C][C]0.109951191716215[/C][/ROW]
[ROW][C]0.95[/C][C]102.529016480827[/C][C]0.124780209449671[/C][/ROW]
[ROW][C]0.96[/C][C]102.59212267491[/C][C]0.13666176861939[/C][/ROW]
[ROW][C]0.97[/C][C]102.664477553249[/C][C]0.137626403637833[/C][/ROW]
[ROW][C]0.98[/C][C]102.742027448911[/C][C]0.130375296992725[/C][/ROW]
[ROW][C]0.99[/C][C]102.813872400257[/C][C]0.129506117844938[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292996&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292996&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
0.0190.26361601948670.246170019178518
0.0290.37436021827730.16829281340627
0.0390.47230968737960.126577385126992
0.0490.55068591138460.127446879024468
0.0590.62017839208860.158488700189552
0.0690.69400895530870.218665183489094
0.0790.78357537866990.312226390591933
0.0890.89851246336750.438975830393742
0.0991.04658856111370.591021048481616
0.191.23281230386850.755908568015975
0.1191.45858067557560.91897353807546
0.1291.72149708137151.06706958901296
0.1392.01592840231881.19020297751708
0.1492.33401218911921.28226738375377
0.1592.66675130798181.34028908195571
0.1693.0049464241711.36374924940597
0.1793.33988333906751.3533779076046
0.1893.6638122947551.31189174349695
0.1993.97029281616351.243577323756
0.294.25444956320091.154380376748
0.2194.51313677997791.05201161805191
0.2294.74497961008990.944151189656391
0.2394.95026458901820.838587158638431
0.2495.13068110162560.741565143784462
0.2595.28895148179890.657689358941123
0.2695.42841228987180.589416932688118
0.2795.55261466620380.537097175427799
0.2895.66499884609340.499714319350511
0.2995.76867444173970.475113070740469
0.395.86631285465620.460945144942674
0.3195.96013787734530.455167263713107
0.3296.05198822086790.456528633302515
0.3396.14342116997180.463757908723024
0.3496.23582778900610.476944209830423
0.3596.33053469697130.496736398827571
0.3696.42887363184310.523813774313211
0.3796.53220695394670.558452310210405
0.3896.64190462919010.601283886561475
0.3996.75927592267180.651537408447837
0.496.88546653759030.707879658219825
0.4197.02133830877540.768313509521394
0.4297.16735258575940.829833636427138
0.4397.32347903320070.889345408774294
0.4497.48914823228590.943178811421831
0.4597.66325955133870.988611735732711
0.4697.84424651735841.02289448501327
0.4798.03019221927651.04495401434759
0.4898.21897909423751.05380644658692
0.4998.40845238855791.05003090999952
0.598.59657546785821.034880601511
0.5198.78155787727241.01033662466415
0.5298.96194272230280.978679760800199
0.5399.13664717043330.941929340522521
0.5499.30495718866620.902680338269348
0.5599.46648380421710.862313013895253
0.5699.62109241807690.822349330577359
0.5799.76881870665930.78332780472141
0.5899.90978450677160.74545900187022
0.59100.0441251559340.708696061469839
0.6100.1719365709320.672315295251977
0.61100.2932464868150.635940386674474
0.62100.4080103656310.599218615064066
0.63100.5161291056380.561568025734208
0.64100.6174833071850.523179408404755
0.65100.7119777303260.484079583750293
0.66100.7995896588520.444927953384487
0.67100.8804158036860.406442727913265
0.68100.954713565230.369486398487992
0.69101.0229333514530.33508483526069
0.7101.0857388659960.304336330948495
0.71101.144011892250.27842035984773
0.72101.1988375888110.258290974870541
0.73101.2514664343530.245033225740101
0.74101.3032504369470.238997758072839
0.75101.3555544014750.240154315422967
0.76101.4096476637560.247625449379788
0.77101.4665868444680.259693971118752
0.78101.5271045072470.274361264468555
0.79101.5915207207610.289184908325908
0.8101.6596933808950.301862257391996
0.81101.7310184042930.31037951569711
0.82101.8044831101870.313114614223943
0.83101.8787667488170.309163087371109
0.84101.9523735254090.298355455742531
0.85102.0237784633690.281129797702885
0.86102.0915678426740.258552672977836
0.87102.1545653525630.23202960550192
0.88102.2119511315590.203326423250042
0.89102.2633967761460.174093878204883
0.9102.3092412051070.146431129560166
0.91102.3507008851970.122837059102257
0.92102.3900318095380.106805538722612
0.93102.4304644898450.102150757412415
0.94102.4757098723380.109951191716215
0.95102.5290164808270.124780209449671
0.96102.592122674910.13666176861939
0.97102.6644775532490.137626403637833
0.98102.7420274489110.130375296992725
0.99102.8138724002570.129506117844938


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):
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')