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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 computationFri, 09 Oct 2015 08:56:13 +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/09/t1444377408mcgys4v7zs67n3e.htm/, Retrieved Tue, 14 May 2024 03:26:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281719, Retrieved Tue, 14 May 2024 03:26:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81

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] [] [2015-10-09 07:56:13] [0bbe3141369311cb51cf1cd235842853] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
76,93
79,32
79,35
80,94
80,13
81,38
81,1
81,53
80,46
79,71
78,66
79,96
80,64
81,8
81,06
81,67
79,72
81,28
81,36
85,26
90
93
95,62
102,15
105,73
109,79
113,77
114,3
114,76
113,69
113,88
114,47
112,57
114,43
112,7
113,48
113,05
112,22
111,44
111,67
111,91
111,7
104,26
101,13
98,55
97,06
96,22
95,15
94,54
94,29
93,98
93,76
94,16
93,83
93,97
94,19
94,14
94,24
94,27
94,21
93,45
95,84
98,59
97
96,45
96,48
96,1
95,49
95,85
95,85
98,52
101,77
101,2
102,85
102,98
102,87
100,48
97,59
97,55
99,06
100,43
102,93
104,22
105,26
105,44
106,97
105,82
104,4
102,03
100,17
98,01
96,49
95,63
95,4
94,97
94,68
95,87
94,99
94,65
94,35
94,1
94,21
95,2
95,55
95,68
95,27
95,3
95,93

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'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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281719&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281719&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281719&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0579.77296306277820.409254008878289
0.0679.99192833688820.45356325103439
0.0780.20878350934280.494011528909888
0.0880.42677164778970.523929709163189
0.0980.64685722005870.559108786289008
0.180.87697983630290.641983547255131
0.1181.13778212162370.832302218234451
0.1281.46399929971151.18144612916508
0.1381.90042674030711.70809368745101
0.1482.49247623870882.38774202426805
0.1583.27324888801043.14797006230054
0.1684.25102419360563.8781454481849
0.1785.40184703844754.45460085661911
0.1886.67059490248824.77431498214662
0.1987.9808267591054.78499949226844
0.289.25031258992844.49669480045018
0.2190.40712923979033.9749758579592
0.2291.40147404604193.31644560070077
0.2392.21050879910622.62223683824872
0.2492.83633976414161.97506090653406
0.2593.29935867711061.42744641132966
0.2693.62993689771191.0013452792933
0.2793.86098544013790.69532548864671
0.2894.02276124677060.493638856545163
0.2994.14016125216850.375643024237657
0.394.23199976794560.319617611386045
0.3194.31149680383310.305470115428236
0.3294.38728731645320.31584640884881
0.3394.46450012523170.338069791391822
0.3494.54569561153390.364324297040462
0.3594.63161577780770.38846609036098
0.3694.72177726243120.407007634179592
0.3794.81495183708660.418361422031359
0.3894.90956275754620.421737539097666
0.3995.00400491500320.417957729773395
0.495.09688554741880.40840441699913
0.4195.18718295596690.395304513349787
0.4295.27432915770110.380753106174047
0.4395.35823229325790.366665567123199
0.4495.43926052427370.355334509314197
0.4595.51820857984610.348193866724627
0.4695.59626167837330.347309095743501
0.4795.67496215622580.354117220282901
0.4895.75617542909980.370218890551262
0.4995.84204682000330.396848852574795
0.595.93494056561660.434812700871256
0.5196.03735638304310.484403133376906
0.5296.1518254487150.544935505221512
0.5396.28079415061440.61623804545225
0.5496.42650845956440.696263825928334
0.5596.59091286937920.783519876020405
0.5696.77557502490970.875894170722051
0.5796.98164066522760.97119811887746
0.5897.20981463777611.06762447880117
0.5997.46035501353741.16322880705658
0.697.73306235527831.25557177988918
0.6198.02724858240921.34311463187192
0.6298.34168136141841.42331117587589
0.6398.67451845454851.49293781130653
0.6499.02326561221061.54941165217
0.6599.38480263211841.5896463697351
0.6699.75551786909021.61165339959082
0.67100.1315699984611.61504993345235
0.68100.5092626600321.60107708188419
0.69100.8854836667011.57339661459442
0.7101.2581379753011.5374927579301
0.71101.626501876321.49955490943261
0.72101.9914486909951.46690317394695
0.73102.3555406364041.44647076600672
0.74102.72303520861.44421510336087
0.75103.0998925939041.46576298758611
0.76103.493856293631.51619179912273
0.77103.9145769184671.60164632069754
0.78104.3735570903831.72828126193678
0.79104.8834846249511.89987544887199
0.8105.4564490331572.11212089532806
0.81106.1007913937242.34664654115189
0.82106.8170019190972.56821429897452
0.83107.5939688013212.72939635012159
0.84108.4075011670262.78267617876343
0.85109.2227978343822.69714206739062
0.86110.001140577932.47270951535121
0.87110.7090059495742.14391538847697
0.88111.3261439149821.77015812017305
0.89111.84914046951.41522155129931
0.9112.2889174710371.12505746967258
0.91112.6636456924980.913449881151984
0.92112.9909646539190.763206146099203
0.93113.2836058529060.646489184309891
0.94113.5498149737950.546765053233427
0.95113.7955873435940.463698750257726

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.05 & 79.7729630627782 & 0.409254008878289 \tabularnewline
0.06 & 79.9919283368882 & 0.45356325103439 \tabularnewline
0.07 & 80.2087835093428 & 0.494011528909888 \tabularnewline
0.08 & 80.4267716477897 & 0.523929709163189 \tabularnewline
0.09 & 80.6468572200587 & 0.559108786289008 \tabularnewline
0.1 & 80.8769798363029 & 0.641983547255131 \tabularnewline
0.11 & 81.1377821216237 & 0.832302218234451 \tabularnewline
0.12 & 81.4639992997115 & 1.18144612916508 \tabularnewline
0.13 & 81.9004267403071 & 1.70809368745101 \tabularnewline
0.14 & 82.4924762387088 & 2.38774202426805 \tabularnewline
0.15 & 83.2732488880104 & 3.14797006230054 \tabularnewline
0.16 & 84.2510241936056 & 3.8781454481849 \tabularnewline
0.17 & 85.4018470384475 & 4.45460085661911 \tabularnewline
0.18 & 86.6705949024882 & 4.77431498214662 \tabularnewline
0.19 & 87.980826759105 & 4.78499949226844 \tabularnewline
0.2 & 89.2503125899284 & 4.49669480045018 \tabularnewline
0.21 & 90.4071292397903 & 3.9749758579592 \tabularnewline
0.22 & 91.4014740460419 & 3.31644560070077 \tabularnewline
0.23 & 92.2105087991062 & 2.62223683824872 \tabularnewline
0.24 & 92.8363397641416 & 1.97506090653406 \tabularnewline
0.25 & 93.2993586771106 & 1.42744641132966 \tabularnewline
0.26 & 93.6299368977119 & 1.0013452792933 \tabularnewline
0.27 & 93.8609854401379 & 0.69532548864671 \tabularnewline
0.28 & 94.0227612467706 & 0.493638856545163 \tabularnewline
0.29 & 94.1401612521685 & 0.375643024237657 \tabularnewline
0.3 & 94.2319997679456 & 0.319617611386045 \tabularnewline
0.31 & 94.3114968038331 & 0.305470115428236 \tabularnewline
0.32 & 94.3872873164532 & 0.31584640884881 \tabularnewline
0.33 & 94.4645001252317 & 0.338069791391822 \tabularnewline
0.34 & 94.5456956115339 & 0.364324297040462 \tabularnewline
0.35 & 94.6316157778077 & 0.38846609036098 \tabularnewline
0.36 & 94.7217772624312 & 0.407007634179592 \tabularnewline
0.37 & 94.8149518370866 & 0.418361422031359 \tabularnewline
0.38 & 94.9095627575462 & 0.421737539097666 \tabularnewline
0.39 & 95.0040049150032 & 0.417957729773395 \tabularnewline
0.4 & 95.0968855474188 & 0.40840441699913 \tabularnewline
0.41 & 95.1871829559669 & 0.395304513349787 \tabularnewline
0.42 & 95.2743291577011 & 0.380753106174047 \tabularnewline
0.43 & 95.3582322932579 & 0.366665567123199 \tabularnewline
0.44 & 95.4392605242737 & 0.355334509314197 \tabularnewline
0.45 & 95.5182085798461 & 0.348193866724627 \tabularnewline
0.46 & 95.5962616783733 & 0.347309095743501 \tabularnewline
0.47 & 95.6749621562258 & 0.354117220282901 \tabularnewline
0.48 & 95.7561754290998 & 0.370218890551262 \tabularnewline
0.49 & 95.8420468200033 & 0.396848852574795 \tabularnewline
0.5 & 95.9349405656166 & 0.434812700871256 \tabularnewline
0.51 & 96.0373563830431 & 0.484403133376906 \tabularnewline
0.52 & 96.151825448715 & 0.544935505221512 \tabularnewline
0.53 & 96.2807941506144 & 0.61623804545225 \tabularnewline
0.54 & 96.4265084595644 & 0.696263825928334 \tabularnewline
0.55 & 96.5909128693792 & 0.783519876020405 \tabularnewline
0.56 & 96.7755750249097 & 0.875894170722051 \tabularnewline
0.57 & 96.9816406652276 & 0.97119811887746 \tabularnewline
0.58 & 97.2098146377761 & 1.06762447880117 \tabularnewline
0.59 & 97.4603550135374 & 1.16322880705658 \tabularnewline
0.6 & 97.7330623552783 & 1.25557177988918 \tabularnewline
0.61 & 98.0272485824092 & 1.34311463187192 \tabularnewline
0.62 & 98.3416813614184 & 1.42331117587589 \tabularnewline
0.63 & 98.6745184545485 & 1.49293781130653 \tabularnewline
0.64 & 99.0232656122106 & 1.54941165217 \tabularnewline
0.65 & 99.3848026321184 & 1.5896463697351 \tabularnewline
0.66 & 99.7555178690902 & 1.61165339959082 \tabularnewline
0.67 & 100.131569998461 & 1.61504993345235 \tabularnewline
0.68 & 100.509262660032 & 1.60107708188419 \tabularnewline
0.69 & 100.885483666701 & 1.57339661459442 \tabularnewline
0.7 & 101.258137975301 & 1.5374927579301 \tabularnewline
0.71 & 101.62650187632 & 1.49955490943261 \tabularnewline
0.72 & 101.991448690995 & 1.46690317394695 \tabularnewline
0.73 & 102.355540636404 & 1.44647076600672 \tabularnewline
0.74 & 102.7230352086 & 1.44421510336087 \tabularnewline
0.75 & 103.099892593904 & 1.46576298758611 \tabularnewline
0.76 & 103.49385629363 & 1.51619179912273 \tabularnewline
0.77 & 103.914576918467 & 1.60164632069754 \tabularnewline
0.78 & 104.373557090383 & 1.72828126193678 \tabularnewline
0.79 & 104.883484624951 & 1.89987544887199 \tabularnewline
0.8 & 105.456449033157 & 2.11212089532806 \tabularnewline
0.81 & 106.100791393724 & 2.34664654115189 \tabularnewline
0.82 & 106.817001919097 & 2.56821429897452 \tabularnewline
0.83 & 107.593968801321 & 2.72939635012159 \tabularnewline
0.84 & 108.407501167026 & 2.78267617876343 \tabularnewline
0.85 & 109.222797834382 & 2.69714206739062 \tabularnewline
0.86 & 110.00114057793 & 2.47270951535121 \tabularnewline
0.87 & 110.709005949574 & 2.14391538847697 \tabularnewline
0.88 & 111.326143914982 & 1.77015812017305 \tabularnewline
0.89 & 111.8491404695 & 1.41522155129931 \tabularnewline
0.9 & 112.288917471037 & 1.12505746967258 \tabularnewline
0.91 & 112.663645692498 & 0.913449881151984 \tabularnewline
0.92 & 112.990964653919 & 0.763206146099203 \tabularnewline
0.93 & 113.283605852906 & 0.646489184309891 \tabularnewline
0.94 & 113.549814973795 & 0.546765053233427 \tabularnewline
0.95 & 113.795587343594 & 0.463698750257726 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281719&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.05[/C][C]79.7729630627782[/C][C]0.409254008878289[/C][/ROW]
[ROW][C]0.06[/C][C]79.9919283368882[/C][C]0.45356325103439[/C][/ROW]
[ROW][C]0.07[/C][C]80.2087835093428[/C][C]0.494011528909888[/C][/ROW]
[ROW][C]0.08[/C][C]80.4267716477897[/C][C]0.523929709163189[/C][/ROW]
[ROW][C]0.09[/C][C]80.6468572200587[/C][C]0.559108786289008[/C][/ROW]
[ROW][C]0.1[/C][C]80.8769798363029[/C][C]0.641983547255131[/C][/ROW]
[ROW][C]0.11[/C][C]81.1377821216237[/C][C]0.832302218234451[/C][/ROW]
[ROW][C]0.12[/C][C]81.4639992997115[/C][C]1.18144612916508[/C][/ROW]
[ROW][C]0.13[/C][C]81.9004267403071[/C][C]1.70809368745101[/C][/ROW]
[ROW][C]0.14[/C][C]82.4924762387088[/C][C]2.38774202426805[/C][/ROW]
[ROW][C]0.15[/C][C]83.2732488880104[/C][C]3.14797006230054[/C][/ROW]
[ROW][C]0.16[/C][C]84.2510241936056[/C][C]3.8781454481849[/C][/ROW]
[ROW][C]0.17[/C][C]85.4018470384475[/C][C]4.45460085661911[/C][/ROW]
[ROW][C]0.18[/C][C]86.6705949024882[/C][C]4.77431498214662[/C][/ROW]
[ROW][C]0.19[/C][C]87.980826759105[/C][C]4.78499949226844[/C][/ROW]
[ROW][C]0.2[/C][C]89.2503125899284[/C][C]4.49669480045018[/C][/ROW]
[ROW][C]0.21[/C][C]90.4071292397903[/C][C]3.9749758579592[/C][/ROW]
[ROW][C]0.22[/C][C]91.4014740460419[/C][C]3.31644560070077[/C][/ROW]
[ROW][C]0.23[/C][C]92.2105087991062[/C][C]2.62223683824872[/C][/ROW]
[ROW][C]0.24[/C][C]92.8363397641416[/C][C]1.97506090653406[/C][/ROW]
[ROW][C]0.25[/C][C]93.2993586771106[/C][C]1.42744641132966[/C][/ROW]
[ROW][C]0.26[/C][C]93.6299368977119[/C][C]1.0013452792933[/C][/ROW]
[ROW][C]0.27[/C][C]93.8609854401379[/C][C]0.69532548864671[/C][/ROW]
[ROW][C]0.28[/C][C]94.0227612467706[/C][C]0.493638856545163[/C][/ROW]
[ROW][C]0.29[/C][C]94.1401612521685[/C][C]0.375643024237657[/C][/ROW]
[ROW][C]0.3[/C][C]94.2319997679456[/C][C]0.319617611386045[/C][/ROW]
[ROW][C]0.31[/C][C]94.3114968038331[/C][C]0.305470115428236[/C][/ROW]
[ROW][C]0.32[/C][C]94.3872873164532[/C][C]0.31584640884881[/C][/ROW]
[ROW][C]0.33[/C][C]94.4645001252317[/C][C]0.338069791391822[/C][/ROW]
[ROW][C]0.34[/C][C]94.5456956115339[/C][C]0.364324297040462[/C][/ROW]
[ROW][C]0.35[/C][C]94.6316157778077[/C][C]0.38846609036098[/C][/ROW]
[ROW][C]0.36[/C][C]94.7217772624312[/C][C]0.407007634179592[/C][/ROW]
[ROW][C]0.37[/C][C]94.8149518370866[/C][C]0.418361422031359[/C][/ROW]
[ROW][C]0.38[/C][C]94.9095627575462[/C][C]0.421737539097666[/C][/ROW]
[ROW][C]0.39[/C][C]95.0040049150032[/C][C]0.417957729773395[/C][/ROW]
[ROW][C]0.4[/C][C]95.0968855474188[/C][C]0.40840441699913[/C][/ROW]
[ROW][C]0.41[/C][C]95.1871829559669[/C][C]0.395304513349787[/C][/ROW]
[ROW][C]0.42[/C][C]95.2743291577011[/C][C]0.380753106174047[/C][/ROW]
[ROW][C]0.43[/C][C]95.3582322932579[/C][C]0.366665567123199[/C][/ROW]
[ROW][C]0.44[/C][C]95.4392605242737[/C][C]0.355334509314197[/C][/ROW]
[ROW][C]0.45[/C][C]95.5182085798461[/C][C]0.348193866724627[/C][/ROW]
[ROW][C]0.46[/C][C]95.5962616783733[/C][C]0.347309095743501[/C][/ROW]
[ROW][C]0.47[/C][C]95.6749621562258[/C][C]0.354117220282901[/C][/ROW]
[ROW][C]0.48[/C][C]95.7561754290998[/C][C]0.370218890551262[/C][/ROW]
[ROW][C]0.49[/C][C]95.8420468200033[/C][C]0.396848852574795[/C][/ROW]
[ROW][C]0.5[/C][C]95.9349405656166[/C][C]0.434812700871256[/C][/ROW]
[ROW][C]0.51[/C][C]96.0373563830431[/C][C]0.484403133376906[/C][/ROW]
[ROW][C]0.52[/C][C]96.151825448715[/C][C]0.544935505221512[/C][/ROW]
[ROW][C]0.53[/C][C]96.2807941506144[/C][C]0.61623804545225[/C][/ROW]
[ROW][C]0.54[/C][C]96.4265084595644[/C][C]0.696263825928334[/C][/ROW]
[ROW][C]0.55[/C][C]96.5909128693792[/C][C]0.783519876020405[/C][/ROW]
[ROW][C]0.56[/C][C]96.7755750249097[/C][C]0.875894170722051[/C][/ROW]
[ROW][C]0.57[/C][C]96.9816406652276[/C][C]0.97119811887746[/C][/ROW]
[ROW][C]0.58[/C][C]97.2098146377761[/C][C]1.06762447880117[/C][/ROW]
[ROW][C]0.59[/C][C]97.4603550135374[/C][C]1.16322880705658[/C][/ROW]
[ROW][C]0.6[/C][C]97.7330623552783[/C][C]1.25557177988918[/C][/ROW]
[ROW][C]0.61[/C][C]98.0272485824092[/C][C]1.34311463187192[/C][/ROW]
[ROW][C]0.62[/C][C]98.3416813614184[/C][C]1.42331117587589[/C][/ROW]
[ROW][C]0.63[/C][C]98.6745184545485[/C][C]1.49293781130653[/C][/ROW]
[ROW][C]0.64[/C][C]99.0232656122106[/C][C]1.54941165217[/C][/ROW]
[ROW][C]0.65[/C][C]99.3848026321184[/C][C]1.5896463697351[/C][/ROW]
[ROW][C]0.66[/C][C]99.7555178690902[/C][C]1.61165339959082[/C][/ROW]
[ROW][C]0.67[/C][C]100.131569998461[/C][C]1.61504993345235[/C][/ROW]
[ROW][C]0.68[/C][C]100.509262660032[/C][C]1.60107708188419[/C][/ROW]
[ROW][C]0.69[/C][C]100.885483666701[/C][C]1.57339661459442[/C][/ROW]
[ROW][C]0.7[/C][C]101.258137975301[/C][C]1.5374927579301[/C][/ROW]
[ROW][C]0.71[/C][C]101.62650187632[/C][C]1.49955490943261[/C][/ROW]
[ROW][C]0.72[/C][C]101.991448690995[/C][C]1.46690317394695[/C][/ROW]
[ROW][C]0.73[/C][C]102.355540636404[/C][C]1.44647076600672[/C][/ROW]
[ROW][C]0.74[/C][C]102.7230352086[/C][C]1.44421510336087[/C][/ROW]
[ROW][C]0.75[/C][C]103.099892593904[/C][C]1.46576298758611[/C][/ROW]
[ROW][C]0.76[/C][C]103.49385629363[/C][C]1.51619179912273[/C][/ROW]
[ROW][C]0.77[/C][C]103.914576918467[/C][C]1.60164632069754[/C][/ROW]
[ROW][C]0.78[/C][C]104.373557090383[/C][C]1.72828126193678[/C][/ROW]
[ROW][C]0.79[/C][C]104.883484624951[/C][C]1.89987544887199[/C][/ROW]
[ROW][C]0.8[/C][C]105.456449033157[/C][C]2.11212089532806[/C][/ROW]
[ROW][C]0.81[/C][C]106.100791393724[/C][C]2.34664654115189[/C][/ROW]
[ROW][C]0.82[/C][C]106.817001919097[/C][C]2.56821429897452[/C][/ROW]
[ROW][C]0.83[/C][C]107.593968801321[/C][C]2.72939635012159[/C][/ROW]
[ROW][C]0.84[/C][C]108.407501167026[/C][C]2.78267617876343[/C][/ROW]
[ROW][C]0.85[/C][C]109.222797834382[/C][C]2.69714206739062[/C][/ROW]
[ROW][C]0.86[/C][C]110.00114057793[/C][C]2.47270951535121[/C][/ROW]
[ROW][C]0.87[/C][C]110.709005949574[/C][C]2.14391538847697[/C][/ROW]
[ROW][C]0.88[/C][C]111.326143914982[/C][C]1.77015812017305[/C][/ROW]
[ROW][C]0.89[/C][C]111.8491404695[/C][C]1.41522155129931[/C][/ROW]
[ROW][C]0.9[/C][C]112.288917471037[/C][C]1.12505746967258[/C][/ROW]
[ROW][C]0.91[/C][C]112.663645692498[/C][C]0.913449881151984[/C][/ROW]
[ROW][C]0.92[/C][C]112.990964653919[/C][C]0.763206146099203[/C][/ROW]
[ROW][C]0.93[/C][C]113.283605852906[/C][C]0.646489184309891[/C][/ROW]
[ROW][C]0.94[/C][C]113.549814973795[/C][C]0.546765053233427[/C][/ROW]
[ROW][C]0.95[/C][C]113.795587343594[/C][C]0.463698750257726[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281719&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281719&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
0.0579.77296306277820.409254008878289
0.0679.99192833688820.45356325103439
0.0780.20878350934280.494011528909888
0.0880.42677164778970.523929709163189
0.0980.64685722005870.559108786289008
0.180.87697983630290.641983547255131
0.1181.13778212162370.832302218234451
0.1281.46399929971151.18144612916508
0.1381.90042674030711.70809368745101
0.1482.49247623870882.38774202426805
0.1583.27324888801043.14797006230054
0.1684.25102419360563.8781454481849
0.1785.40184703844754.45460085661911
0.1886.67059490248824.77431498214662
0.1987.9808267591054.78499949226844
0.289.25031258992844.49669480045018
0.2190.40712923979033.9749758579592
0.2291.40147404604193.31644560070077
0.2392.21050879910622.62223683824872
0.2492.83633976414161.97506090653406
0.2593.29935867711061.42744641132966
0.2693.62993689771191.0013452792933
0.2793.86098544013790.69532548864671
0.2894.02276124677060.493638856545163
0.2994.14016125216850.375643024237657
0.394.23199976794560.319617611386045
0.3194.31149680383310.305470115428236
0.3294.38728731645320.31584640884881
0.3394.46450012523170.338069791391822
0.3494.54569561153390.364324297040462
0.3594.63161577780770.38846609036098
0.3694.72177726243120.407007634179592
0.3794.81495183708660.418361422031359
0.3894.90956275754620.421737539097666
0.3995.00400491500320.417957729773395
0.495.09688554741880.40840441699913
0.4195.18718295596690.395304513349787
0.4295.27432915770110.380753106174047
0.4395.35823229325790.366665567123199
0.4495.43926052427370.355334509314197
0.4595.51820857984610.348193866724627
0.4695.59626167837330.347309095743501
0.4795.67496215622580.354117220282901
0.4895.75617542909980.370218890551262
0.4995.84204682000330.396848852574795
0.595.93494056561660.434812700871256
0.5196.03735638304310.484403133376906
0.5296.1518254487150.544935505221512
0.5396.28079415061440.61623804545225
0.5496.42650845956440.696263825928334
0.5596.59091286937920.783519876020405
0.5696.77557502490970.875894170722051
0.5796.98164066522760.97119811887746
0.5897.20981463777611.06762447880117
0.5997.46035501353741.16322880705658
0.697.73306235527831.25557177988918
0.6198.02724858240921.34311463187192
0.6298.34168136141841.42331117587589
0.6398.67451845454851.49293781130653
0.6499.02326561221061.54941165217
0.6599.38480263211841.5896463697351
0.6699.75551786909021.61165339959082
0.67100.1315699984611.61504993345235
0.68100.5092626600321.60107708188419
0.69100.8854836667011.57339661459442
0.7101.2581379753011.5374927579301
0.71101.626501876321.49955490943261
0.72101.9914486909951.46690317394695
0.73102.3555406364041.44647076600672
0.74102.72303520861.44421510336087
0.75103.0998925939041.46576298758611
0.76103.493856293631.51619179912273
0.77103.9145769184671.60164632069754
0.78104.3735570903831.72828126193678
0.79104.8834846249511.89987544887199
0.8105.4564490331572.11212089532806
0.81106.1007913937242.34664654115189
0.82106.8170019190972.56821429897452
0.83107.5939688013212.72939635012159
0.84108.4075011670262.78267617876343
0.85109.2227978343822.69714206739062
0.86110.001140577932.47270951535121
0.87110.7090059495742.14391538847697
0.88111.3261439149821.77015812017305
0.89111.84914046951.41522155129931
0.9112.2889174710371.12505746967258
0.91112.6636456924980.913449881151984
0.92112.9909646539190.763206146099203
0.93113.2836058529060.646489184309891
0.94113.5498149737950.546765053233427
0.95113.7955873435940.463698750257726


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.05 ; par2 = 0.95 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.05 ; par2 = 0.95 ; 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')