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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 computationSat, 10 Oct 2015 13:48:21 +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/10/t1444481398yzy25m5cgqvdlhk.htm/, Retrieved Mon, 13 May 2024 23:44:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=282183, Retrieved Mon, 13 May 2024 23:44:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact97

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] [harrel davis rijs...] [2015-10-10 12:48:21] [f80e7d2207e498094c9e16c0f447e302] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
78,25
77,24
76,68
76,29
76,1
75,77
75,6
75,57
75,89
76,04
76,89
77
79,09
80,84
81,82
82,12
81,01
82,22
81,97
82,42
82,77
82,46
83,35
84,27
87,34
91,03
93,52
94,24
94,92
95,49
96,55
98,07
102,87
104,12
103,49
103,31
103,92
103,69
103,41
102,83
103
103,42
102,57
102,72
102,22
102,32
102,48
101,56
101,02
101,41
100,74
99,76
99,76
99,17
99,11
99,69
99,4
99,79
99,72
98,74
98,26
97,31
96,73
96,18
95,92
96,13
95,64
94,52
94,31
96,05
96,17
95,14
95,37
96,5
96,79
96,23
96
95,21
94,77
96,84
99,06
100,36
100,09
100,03
100,49
101
102,11
101,59
100,81
100,86
99,57
100,21
99,68
98,38
97,93
97,37
99,08
99,15
99,44
99,48
99,62
98,95
99,42
99,84
99,27
99,16
99,04
99,62

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=282183&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=282183&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282183&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
0.0175.61945296474910.101253424449577
0.0275.72622408912070.178822907595411
0.0375.86837090424750.241260102124081
0.0476.03545775185130.326246338129498
0.0576.23525913716630.455237930451262
0.0676.48435468166750.636364017570137
0.0776.80065708885070.87466004770679
0.0877.1990250444351.16077715198688
0.0977.68606225063811.45940537370666
0.178.25459311282541.71644589399884
0.1178.88207646260651.88270673112976
0.1279.53591255309841.93835786315845
0.1380.18422358981141.90525282504826
0.1480.80739759312861.8425082532693
0.1581.40556840201061.83135454414239
0.1681.99946670651431.94928152350722
0.1782.62480636332312.23804941162255
0.1883.32228386848472.68451521823618
0.1984.12612174758953.23078817229741
0.285.05414172866653.79121913940599
0.2186.10182950946214.27243690251885
0.2287.24181531386774.59180522182437
0.2388.4287640231754.69577652056396
0.2489.60819162126094.57026361475172
0.2590.72669662043964.24092172680719
0.2691.7409008843653.7633720526093
0.2792.62307794646583.20747966625956
0.2893.36268239450472.64128145142095
0.2993.96426447873262.11864331395447
0.394.44311167477711.67318354419907
0.3194.82020588292721.31863119835729
0.3295.11779940646361.05272109913953
0.3395.35634311979050.863178080768277
0.3495.55291616176910.733999207057892
0.3595.72089028978480.650218273573927
0.3695.87037357786910.59982256879739
0.3796.00898151649930.575087424272834
0.3896.14259891584780.571458495661942
0.3996.27594489245940.586059079328572
0.496.41288284126120.615744652587867
0.4196.55650462810680.65787144801979
0.4296.70906241809390.707674756243047
0.4396.87183304069870.760623027071648
0.4497.04499145519960.811203316523102
0.4597.22755190769520.853778752767707
0.4697.41741378081310.883752649173645
0.4797.61152668231450.897162576359345
0.4897.8061673289140.891795443005987
0.4997.99730070407420.867045557699728
0.598.18098196377880.824156797020189
0.5198.35374616664940.766336900929968
0.5298.51293219095830.697930730145651
0.5398.6568959714270.623885290717757
0.5498.7850854700130.54931745068504
0.5598.89797276133560.479151444977638
0.5698.99686293918020.41662496518
0.5799.08362020656210.364015087135985
0.5899.16036394736720.32203448518296
0.5999.22918902413740.289927855443789
0.699.29195496974030.266007093179834
0.6199.35017095523630.248106621542757
0.6299.4049821818590.234340388692766
0.6399.45724375135050.223491444357603
0.6499.50765391080310.214977274626918
0.6599.5569114378080.209098366447106
0.6699.60586137293790.206785298111139
0.6799.65559780169020.209548811692277
0.6899.70750051776110.21869000990377
0.6999.76319348063320.235105413335928
0.799.82442684358090.259084177356563
0.7199.89290041847590.289570272430884
0.7299.97006280485140.324584216186255
0.73100.0569331771510.361866764400312
0.74100.1539965563130.398701979246943
0.75100.2612130140170.432757331723193
0.76100.3781539789310.462721380870893
0.77100.5042374799720.488327608331954
0.78100.638989284030.510599986456269
0.79100.7822260261230.531276124491002
0.8100.93405914180.55197237080358
0.81101.0946669221330.572787438634473
0.82101.2638709833890.591713951699388
0.83101.4406548028610.605154478382558
0.84101.6228307251890.608278637333099
0.85101.8070547097790.597230137181932
0.86101.9892888074580.570628329758162
0.87102.1656471196260.530633781068131
0.88102.3333918727730.482658032108305
0.89102.4917273402080.434160458638458
0.9102.6419958570150.392564685827667
0.91102.7869541071620.361969491904932
0.92102.9291480287280.340104676655336
0.93103.0691836139580.31840511002786
0.94103.2056244751670.287780777693159
0.95103.3380813423440.249827864358083
0.96103.4723068887410.222283699715708
0.97103.6217938085680.222211536688539
0.98103.7989962665260.230817559909117
0.99103.9903715963510.213900942645718

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 75.6194529647491 & 0.101253424449577 \tabularnewline
0.02 & 75.7262240891207 & 0.178822907595411 \tabularnewline
0.03 & 75.8683709042475 & 0.241260102124081 \tabularnewline
0.04 & 76.0354577518513 & 0.326246338129498 \tabularnewline
0.05 & 76.2352591371663 & 0.455237930451262 \tabularnewline
0.06 & 76.4843546816675 & 0.636364017570137 \tabularnewline
0.07 & 76.8006570888507 & 0.87466004770679 \tabularnewline
0.08 & 77.199025044435 & 1.16077715198688 \tabularnewline
0.09 & 77.6860622506381 & 1.45940537370666 \tabularnewline
0.1 & 78.2545931128254 & 1.71644589399884 \tabularnewline
0.11 & 78.8820764626065 & 1.88270673112976 \tabularnewline
0.12 & 79.5359125530984 & 1.93835786315845 \tabularnewline
0.13 & 80.1842235898114 & 1.90525282504826 \tabularnewline
0.14 & 80.8073975931286 & 1.8425082532693 \tabularnewline
0.15 & 81.4055684020106 & 1.83135454414239 \tabularnewline
0.16 & 81.9994667065143 & 1.94928152350722 \tabularnewline
0.17 & 82.6248063633231 & 2.23804941162255 \tabularnewline
0.18 & 83.3222838684847 & 2.68451521823618 \tabularnewline
0.19 & 84.1261217475895 & 3.23078817229741 \tabularnewline
0.2 & 85.0541417286665 & 3.79121913940599 \tabularnewline
0.21 & 86.1018295094621 & 4.27243690251885 \tabularnewline
0.22 & 87.2418153138677 & 4.59180522182437 \tabularnewline
0.23 & 88.428764023175 & 4.69577652056396 \tabularnewline
0.24 & 89.6081916212609 & 4.57026361475172 \tabularnewline
0.25 & 90.7266966204396 & 4.24092172680719 \tabularnewline
0.26 & 91.740900884365 & 3.7633720526093 \tabularnewline
0.27 & 92.6230779464658 & 3.20747966625956 \tabularnewline
0.28 & 93.3626823945047 & 2.64128145142095 \tabularnewline
0.29 & 93.9642644787326 & 2.11864331395447 \tabularnewline
0.3 & 94.4431116747771 & 1.67318354419907 \tabularnewline
0.31 & 94.8202058829272 & 1.31863119835729 \tabularnewline
0.32 & 95.1177994064636 & 1.05272109913953 \tabularnewline
0.33 & 95.3563431197905 & 0.863178080768277 \tabularnewline
0.34 & 95.5529161617691 & 0.733999207057892 \tabularnewline
0.35 & 95.7208902897848 & 0.650218273573927 \tabularnewline
0.36 & 95.8703735778691 & 0.59982256879739 \tabularnewline
0.37 & 96.0089815164993 & 0.575087424272834 \tabularnewline
0.38 & 96.1425989158478 & 0.571458495661942 \tabularnewline
0.39 & 96.2759448924594 & 0.586059079328572 \tabularnewline
0.4 & 96.4128828412612 & 0.615744652587867 \tabularnewline
0.41 & 96.5565046281068 & 0.65787144801979 \tabularnewline
0.42 & 96.7090624180939 & 0.707674756243047 \tabularnewline
0.43 & 96.8718330406987 & 0.760623027071648 \tabularnewline
0.44 & 97.0449914551996 & 0.811203316523102 \tabularnewline
0.45 & 97.2275519076952 & 0.853778752767707 \tabularnewline
0.46 & 97.4174137808131 & 0.883752649173645 \tabularnewline
0.47 & 97.6115266823145 & 0.897162576359345 \tabularnewline
0.48 & 97.806167328914 & 0.891795443005987 \tabularnewline
0.49 & 97.9973007040742 & 0.867045557699728 \tabularnewline
0.5 & 98.1809819637788 & 0.824156797020189 \tabularnewline
0.51 & 98.3537461666494 & 0.766336900929968 \tabularnewline
0.52 & 98.5129321909583 & 0.697930730145651 \tabularnewline
0.53 & 98.656895971427 & 0.623885290717757 \tabularnewline
0.54 & 98.785085470013 & 0.54931745068504 \tabularnewline
0.55 & 98.8979727613356 & 0.479151444977638 \tabularnewline
0.56 & 98.9968629391802 & 0.41662496518 \tabularnewline
0.57 & 99.0836202065621 & 0.364015087135985 \tabularnewline
0.58 & 99.1603639473672 & 0.32203448518296 \tabularnewline
0.59 & 99.2291890241374 & 0.289927855443789 \tabularnewline
0.6 & 99.2919549697403 & 0.266007093179834 \tabularnewline
0.61 & 99.3501709552363 & 0.248106621542757 \tabularnewline
0.62 & 99.404982181859 & 0.234340388692766 \tabularnewline
0.63 & 99.4572437513505 & 0.223491444357603 \tabularnewline
0.64 & 99.5076539108031 & 0.214977274626918 \tabularnewline
0.65 & 99.556911437808 & 0.209098366447106 \tabularnewline
0.66 & 99.6058613729379 & 0.206785298111139 \tabularnewline
0.67 & 99.6555978016902 & 0.209548811692277 \tabularnewline
0.68 & 99.7075005177611 & 0.21869000990377 \tabularnewline
0.69 & 99.7631934806332 & 0.235105413335928 \tabularnewline
0.7 & 99.8244268435809 & 0.259084177356563 \tabularnewline
0.71 & 99.8929004184759 & 0.289570272430884 \tabularnewline
0.72 & 99.9700628048514 & 0.324584216186255 \tabularnewline
0.73 & 100.056933177151 & 0.361866764400312 \tabularnewline
0.74 & 100.153996556313 & 0.398701979246943 \tabularnewline
0.75 & 100.261213014017 & 0.432757331723193 \tabularnewline
0.76 & 100.378153978931 & 0.462721380870893 \tabularnewline
0.77 & 100.504237479972 & 0.488327608331954 \tabularnewline
0.78 & 100.63898928403 & 0.510599986456269 \tabularnewline
0.79 & 100.782226026123 & 0.531276124491002 \tabularnewline
0.8 & 100.9340591418 & 0.55197237080358 \tabularnewline
0.81 & 101.094666922133 & 0.572787438634473 \tabularnewline
0.82 & 101.263870983389 & 0.591713951699388 \tabularnewline
0.83 & 101.440654802861 & 0.605154478382558 \tabularnewline
0.84 & 101.622830725189 & 0.608278637333099 \tabularnewline
0.85 & 101.807054709779 & 0.597230137181932 \tabularnewline
0.86 & 101.989288807458 & 0.570628329758162 \tabularnewline
0.87 & 102.165647119626 & 0.530633781068131 \tabularnewline
0.88 & 102.333391872773 & 0.482658032108305 \tabularnewline
0.89 & 102.491727340208 & 0.434160458638458 \tabularnewline
0.9 & 102.641995857015 & 0.392564685827667 \tabularnewline
0.91 & 102.786954107162 & 0.361969491904932 \tabularnewline
0.92 & 102.929148028728 & 0.340104676655336 \tabularnewline
0.93 & 103.069183613958 & 0.31840511002786 \tabularnewline
0.94 & 103.205624475167 & 0.287780777693159 \tabularnewline
0.95 & 103.338081342344 & 0.249827864358083 \tabularnewline
0.96 & 103.472306888741 & 0.222283699715708 \tabularnewline
0.97 & 103.621793808568 & 0.222211536688539 \tabularnewline
0.98 & 103.798996266526 & 0.230817559909117 \tabularnewline
0.99 & 103.990371596351 & 0.213900942645718 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282183&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]75.6194529647491[/C][C]0.101253424449577[/C][/ROW]
[ROW][C]0.02[/C][C]75.7262240891207[/C][C]0.178822907595411[/C][/ROW]
[ROW][C]0.03[/C][C]75.8683709042475[/C][C]0.241260102124081[/C][/ROW]
[ROW][C]0.04[/C][C]76.0354577518513[/C][C]0.326246338129498[/C][/ROW]
[ROW][C]0.05[/C][C]76.2352591371663[/C][C]0.455237930451262[/C][/ROW]
[ROW][C]0.06[/C][C]76.4843546816675[/C][C]0.636364017570137[/C][/ROW]
[ROW][C]0.07[/C][C]76.8006570888507[/C][C]0.87466004770679[/C][/ROW]
[ROW][C]0.08[/C][C]77.199025044435[/C][C]1.16077715198688[/C][/ROW]
[ROW][C]0.09[/C][C]77.6860622506381[/C][C]1.45940537370666[/C][/ROW]
[ROW][C]0.1[/C][C]78.2545931128254[/C][C]1.71644589399884[/C][/ROW]
[ROW][C]0.11[/C][C]78.8820764626065[/C][C]1.88270673112976[/C][/ROW]
[ROW][C]0.12[/C][C]79.5359125530984[/C][C]1.93835786315845[/C][/ROW]
[ROW][C]0.13[/C][C]80.1842235898114[/C][C]1.90525282504826[/C][/ROW]
[ROW][C]0.14[/C][C]80.8073975931286[/C][C]1.8425082532693[/C][/ROW]
[ROW][C]0.15[/C][C]81.4055684020106[/C][C]1.83135454414239[/C][/ROW]
[ROW][C]0.16[/C][C]81.9994667065143[/C][C]1.94928152350722[/C][/ROW]
[ROW][C]0.17[/C][C]82.6248063633231[/C][C]2.23804941162255[/C][/ROW]
[ROW][C]0.18[/C][C]83.3222838684847[/C][C]2.68451521823618[/C][/ROW]
[ROW][C]0.19[/C][C]84.1261217475895[/C][C]3.23078817229741[/C][/ROW]
[ROW][C]0.2[/C][C]85.0541417286665[/C][C]3.79121913940599[/C][/ROW]
[ROW][C]0.21[/C][C]86.1018295094621[/C][C]4.27243690251885[/C][/ROW]
[ROW][C]0.22[/C][C]87.2418153138677[/C][C]4.59180522182437[/C][/ROW]
[ROW][C]0.23[/C][C]88.428764023175[/C][C]4.69577652056396[/C][/ROW]
[ROW][C]0.24[/C][C]89.6081916212609[/C][C]4.57026361475172[/C][/ROW]
[ROW][C]0.25[/C][C]90.7266966204396[/C][C]4.24092172680719[/C][/ROW]
[ROW][C]0.26[/C][C]91.740900884365[/C][C]3.7633720526093[/C][/ROW]
[ROW][C]0.27[/C][C]92.6230779464658[/C][C]3.20747966625956[/C][/ROW]
[ROW][C]0.28[/C][C]93.3626823945047[/C][C]2.64128145142095[/C][/ROW]
[ROW][C]0.29[/C][C]93.9642644787326[/C][C]2.11864331395447[/C][/ROW]
[ROW][C]0.3[/C][C]94.4431116747771[/C][C]1.67318354419907[/C][/ROW]
[ROW][C]0.31[/C][C]94.8202058829272[/C][C]1.31863119835729[/C][/ROW]
[ROW][C]0.32[/C][C]95.1177994064636[/C][C]1.05272109913953[/C][/ROW]
[ROW][C]0.33[/C][C]95.3563431197905[/C][C]0.863178080768277[/C][/ROW]
[ROW][C]0.34[/C][C]95.5529161617691[/C][C]0.733999207057892[/C][/ROW]
[ROW][C]0.35[/C][C]95.7208902897848[/C][C]0.650218273573927[/C][/ROW]
[ROW][C]0.36[/C][C]95.8703735778691[/C][C]0.59982256879739[/C][/ROW]
[ROW][C]0.37[/C][C]96.0089815164993[/C][C]0.575087424272834[/C][/ROW]
[ROW][C]0.38[/C][C]96.1425989158478[/C][C]0.571458495661942[/C][/ROW]
[ROW][C]0.39[/C][C]96.2759448924594[/C][C]0.586059079328572[/C][/ROW]
[ROW][C]0.4[/C][C]96.4128828412612[/C][C]0.615744652587867[/C][/ROW]
[ROW][C]0.41[/C][C]96.5565046281068[/C][C]0.65787144801979[/C][/ROW]
[ROW][C]0.42[/C][C]96.7090624180939[/C][C]0.707674756243047[/C][/ROW]
[ROW][C]0.43[/C][C]96.8718330406987[/C][C]0.760623027071648[/C][/ROW]
[ROW][C]0.44[/C][C]97.0449914551996[/C][C]0.811203316523102[/C][/ROW]
[ROW][C]0.45[/C][C]97.2275519076952[/C][C]0.853778752767707[/C][/ROW]
[ROW][C]0.46[/C][C]97.4174137808131[/C][C]0.883752649173645[/C][/ROW]
[ROW][C]0.47[/C][C]97.6115266823145[/C][C]0.897162576359345[/C][/ROW]
[ROW][C]0.48[/C][C]97.806167328914[/C][C]0.891795443005987[/C][/ROW]
[ROW][C]0.49[/C][C]97.9973007040742[/C][C]0.867045557699728[/C][/ROW]
[ROW][C]0.5[/C][C]98.1809819637788[/C][C]0.824156797020189[/C][/ROW]
[ROW][C]0.51[/C][C]98.3537461666494[/C][C]0.766336900929968[/C][/ROW]
[ROW][C]0.52[/C][C]98.5129321909583[/C][C]0.697930730145651[/C][/ROW]
[ROW][C]0.53[/C][C]98.656895971427[/C][C]0.623885290717757[/C][/ROW]
[ROW][C]0.54[/C][C]98.785085470013[/C][C]0.54931745068504[/C][/ROW]
[ROW][C]0.55[/C][C]98.8979727613356[/C][C]0.479151444977638[/C][/ROW]
[ROW][C]0.56[/C][C]98.9968629391802[/C][C]0.41662496518[/C][/ROW]
[ROW][C]0.57[/C][C]99.0836202065621[/C][C]0.364015087135985[/C][/ROW]
[ROW][C]0.58[/C][C]99.1603639473672[/C][C]0.32203448518296[/C][/ROW]
[ROW][C]0.59[/C][C]99.2291890241374[/C][C]0.289927855443789[/C][/ROW]
[ROW][C]0.6[/C][C]99.2919549697403[/C][C]0.266007093179834[/C][/ROW]
[ROW][C]0.61[/C][C]99.3501709552363[/C][C]0.248106621542757[/C][/ROW]
[ROW][C]0.62[/C][C]99.404982181859[/C][C]0.234340388692766[/C][/ROW]
[ROW][C]0.63[/C][C]99.4572437513505[/C][C]0.223491444357603[/C][/ROW]
[ROW][C]0.64[/C][C]99.5076539108031[/C][C]0.214977274626918[/C][/ROW]
[ROW][C]0.65[/C][C]99.556911437808[/C][C]0.209098366447106[/C][/ROW]
[ROW][C]0.66[/C][C]99.6058613729379[/C][C]0.206785298111139[/C][/ROW]
[ROW][C]0.67[/C][C]99.6555978016902[/C][C]0.209548811692277[/C][/ROW]
[ROW][C]0.68[/C][C]99.7075005177611[/C][C]0.21869000990377[/C][/ROW]
[ROW][C]0.69[/C][C]99.7631934806332[/C][C]0.235105413335928[/C][/ROW]
[ROW][C]0.7[/C][C]99.8244268435809[/C][C]0.259084177356563[/C][/ROW]
[ROW][C]0.71[/C][C]99.8929004184759[/C][C]0.289570272430884[/C][/ROW]
[ROW][C]0.72[/C][C]99.9700628048514[/C][C]0.324584216186255[/C][/ROW]
[ROW][C]0.73[/C][C]100.056933177151[/C][C]0.361866764400312[/C][/ROW]
[ROW][C]0.74[/C][C]100.153996556313[/C][C]0.398701979246943[/C][/ROW]
[ROW][C]0.75[/C][C]100.261213014017[/C][C]0.432757331723193[/C][/ROW]
[ROW][C]0.76[/C][C]100.378153978931[/C][C]0.462721380870893[/C][/ROW]
[ROW][C]0.77[/C][C]100.504237479972[/C][C]0.488327608331954[/C][/ROW]
[ROW][C]0.78[/C][C]100.63898928403[/C][C]0.510599986456269[/C][/ROW]
[ROW][C]0.79[/C][C]100.782226026123[/C][C]0.531276124491002[/C][/ROW]
[ROW][C]0.8[/C][C]100.9340591418[/C][C]0.55197237080358[/C][/ROW]
[ROW][C]0.81[/C][C]101.094666922133[/C][C]0.572787438634473[/C][/ROW]
[ROW][C]0.82[/C][C]101.263870983389[/C][C]0.591713951699388[/C][/ROW]
[ROW][C]0.83[/C][C]101.440654802861[/C][C]0.605154478382558[/C][/ROW]
[ROW][C]0.84[/C][C]101.622830725189[/C][C]0.608278637333099[/C][/ROW]
[ROW][C]0.85[/C][C]101.807054709779[/C][C]0.597230137181932[/C][/ROW]
[ROW][C]0.86[/C][C]101.989288807458[/C][C]0.570628329758162[/C][/ROW]
[ROW][C]0.87[/C][C]102.165647119626[/C][C]0.530633781068131[/C][/ROW]
[ROW][C]0.88[/C][C]102.333391872773[/C][C]0.482658032108305[/C][/ROW]
[ROW][C]0.89[/C][C]102.491727340208[/C][C]0.434160458638458[/C][/ROW]
[ROW][C]0.9[/C][C]102.641995857015[/C][C]0.392564685827667[/C][/ROW]
[ROW][C]0.91[/C][C]102.786954107162[/C][C]0.361969491904932[/C][/ROW]
[ROW][C]0.92[/C][C]102.929148028728[/C][C]0.340104676655336[/C][/ROW]
[ROW][C]0.93[/C][C]103.069183613958[/C][C]0.31840511002786[/C][/ROW]
[ROW][C]0.94[/C][C]103.205624475167[/C][C]0.287780777693159[/C][/ROW]
[ROW][C]0.95[/C][C]103.338081342344[/C][C]0.249827864358083[/C][/ROW]
[ROW][C]0.96[/C][C]103.472306888741[/C][C]0.222283699715708[/C][/ROW]
[ROW][C]0.97[/C][C]103.621793808568[/C][C]0.222211536688539[/C][/ROW]
[ROW][C]0.98[/C][C]103.798996266526[/C][C]0.230817559909117[/C][/ROW]
[ROW][C]0.99[/C][C]103.990371596351[/C][C]0.213900942645718[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282183&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282183&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
0.0175.61945296474910.101253424449577
0.0275.72622408912070.178822907595411
0.0375.86837090424750.241260102124081
0.0476.03545775185130.326246338129498
0.0576.23525913716630.455237930451262
0.0676.48435468166750.636364017570137
0.0776.80065708885070.87466004770679
0.0877.1990250444351.16077715198688
0.0977.68606225063811.45940537370666
0.178.25459311282541.71644589399884
0.1178.88207646260651.88270673112976
0.1279.53591255309841.93835786315845
0.1380.18422358981141.90525282504826
0.1480.80739759312861.8425082532693
0.1581.40556840201061.83135454414239
0.1681.99946670651431.94928152350722
0.1782.62480636332312.23804941162255
0.1883.32228386848472.68451521823618
0.1984.12612174758953.23078817229741
0.285.05414172866653.79121913940599
0.2186.10182950946214.27243690251885
0.2287.24181531386774.59180522182437
0.2388.4287640231754.69577652056396
0.2489.60819162126094.57026361475172
0.2590.72669662043964.24092172680719
0.2691.7409008843653.7633720526093
0.2792.62307794646583.20747966625956
0.2893.36268239450472.64128145142095
0.2993.96426447873262.11864331395447
0.394.44311167477711.67318354419907
0.3194.82020588292721.31863119835729
0.3295.11779940646361.05272109913953
0.3395.35634311979050.863178080768277
0.3495.55291616176910.733999207057892
0.3595.72089028978480.650218273573927
0.3695.87037357786910.59982256879739
0.3796.00898151649930.575087424272834
0.3896.14259891584780.571458495661942
0.3996.27594489245940.586059079328572
0.496.41288284126120.615744652587867
0.4196.55650462810680.65787144801979
0.4296.70906241809390.707674756243047
0.4396.87183304069870.760623027071648
0.4497.04499145519960.811203316523102
0.4597.22755190769520.853778752767707
0.4697.41741378081310.883752649173645
0.4797.61152668231450.897162576359345
0.4897.8061673289140.891795443005987
0.4997.99730070407420.867045557699728
0.598.18098196377880.824156797020189
0.5198.35374616664940.766336900929968
0.5298.51293219095830.697930730145651
0.5398.6568959714270.623885290717757
0.5498.7850854700130.54931745068504
0.5598.89797276133560.479151444977638
0.5698.99686293918020.41662496518
0.5799.08362020656210.364015087135985
0.5899.16036394736720.32203448518296
0.5999.22918902413740.289927855443789
0.699.29195496974030.266007093179834
0.6199.35017095523630.248106621542757
0.6299.4049821818590.234340388692766
0.6399.45724375135050.223491444357603
0.6499.50765391080310.214977274626918
0.6599.5569114378080.209098366447106
0.6699.60586137293790.206785298111139
0.6799.65559780169020.209548811692277
0.6899.70750051776110.21869000990377
0.6999.76319348063320.235105413335928
0.799.82442684358090.259084177356563
0.7199.89290041847590.289570272430884
0.7299.97006280485140.324584216186255
0.73100.0569331771510.361866764400312
0.74100.1539965563130.398701979246943
0.75100.2612130140170.432757331723193
0.76100.3781539789310.462721380870893
0.77100.5042374799720.488327608331954
0.78100.638989284030.510599986456269
0.79100.7822260261230.531276124491002
0.8100.93405914180.55197237080358
0.81101.0946669221330.572787438634473
0.82101.2638709833890.591713951699388
0.83101.4406548028610.605154478382558
0.84101.6228307251890.608278637333099
0.85101.8070547097790.597230137181932
0.86101.9892888074580.570628329758162
0.87102.1656471196260.530633781068131
0.88102.3333918727730.482658032108305
0.89102.4917273402080.434160458638458
0.9102.6419958570150.392564685827667
0.91102.7869541071620.361969491904932
0.92102.9291480287280.340104676655336
0.93103.0691836139580.31840511002786
0.94103.2056244751670.287780777693159
0.95103.3380813423440.249827864358083
0.96103.4723068887410.222283699715708
0.97103.6217938085680.222211536688539
0.98103.7989962665260.230817559909117
0.99103.9903715963510.213900942645718


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')