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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, 11 Mar 2017 13:13:25 +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/2017/Mar/11/t1489238062cyaqvchb22g4bzv.htm/, Retrieved Tue, 14 May 2024 14:45:16 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 14:45:16 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
94
94,45
94,34
94,39
94,68
94,76
94,96
95,01
95,1
95,23
95,26
95,34
95,71
96,07
96,19
96,11
96,31
96,46
96,68
96,69
96,72
96,92
97,04
97,18
97,83
98,25
98,24
98,28
98,53
98,62
98,84
98,94
98,94
99,1
99,15
99,26
99,01
99,43
99,62
99,43
99,81
99,99
100,24
100,32
100,32
100,47
100,62
100,72
100,92
101,13
101,26
101,36
101,52
101,59
101,86
101,74
101,78
101,9
101,83
101,98
102,19
102,59
102,35
102,67
102,61
102,93
103,12
103,2
103,05
103,45
103,66
103,74

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
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0194.09243945354450.269334887156793
0.0294.21880187622320.197528967448216
0.0394.33675002249230.167795609447567
0.0494.43768291200230.180860497875538
0.0594.52930008268540.20838714195206
0.0694.61877904601360.23209866144222
0.0794.70848211155170.247189730311449
0.0894.79793363767040.256139825304582
0.0994.88631635983790.263797376223197
0.194.9736924819270.275062428807588
0.1195.06112941116930.293150610476182
0.1295.15028227009620.3189207482334
0.1395.24283367576180.350906880028242
0.1495.34000958596430.385530067787864
0.1595.44227725835980.41884793712302
0.1695.54926352408560.447110464641358
0.1795.65988010265040.467740900122869
0.1895.77260051182450.47978729330956
0.1995.88580682806540.483931584056417
0.295.99812093859550.482523394523885
0.2196.10865314242830.478613005987732
0.2296.21713220270860.475655490200322
0.2396.32391322687450.476655652231058
0.2496.42988352481970.483864971938185
0.2596.5362981294680.498791472742704
0.2696.64457785482260.52143421772823
0.2796.75609846325580.551160505914855
0.2896.87199428434820.585850506835869
0.2996.99299568303360.622708845004665
0.397.11931673213350.658488517928742
0.3197.25060552533730.690012467826487
0.3297.38596325032780.714377933961304
0.3397.52402933063170.729262973998592
0.3497.66312016932690.733519232218919
0.3597.80140076808810.726817183651702
0.3697.93706408144640.709921656267311
0.3798.06849361273130.684593892722613
0.3898.19439012617430.652785781697734
0.3998.31385174876340.617058703727667
0.498.42640579884420.57989022033083
0.4198.53199819015270.54336133856868
0.4298.6309508100930.509453500682466
0.4398.72389853608540.479809010418021
0.4498.81171617335550.455264693965694
0.4598.89544277017490.43692283473619
0.4698.97620776055530.425102828334895
0.4799.05516114442070.419584998582877
0.4899.1334088680980.420220756542834
0.4999.21195463454010.426051870351271
0.599.29165012255330.43616200757197
0.5199.37315645201160.449197043249236
0.5299.45692016146040.463744371499818
0.5399.54316659410570.47851164775378
0.5499.63191227538220.492182933273074
0.5599.7229957148530.503890273643571
0.5699.81612341350840.512996227116604
0.5799.91092522328240.51948207835378
0.58100.0070111996610.523062329878866
0.59100.1040212823970.524530520268759
0.6100.2016599125910.524239070474448
0.61100.2997100967440.522922374958729
0.62100.3980251130.521025020894124
0.63100.4965003171390.51888332125173
0.64100.5950314390150.516368427926976
0.65100.6934684897880.513091933533994
0.66100.7915753306650.508386276171956
0.67100.8890039398090.501545599085624
0.68100.9852897937830.491807221976172
0.69101.0798712491070.478751895900442
0.7101.1721321747680.462135934795436
0.71101.2614639852880.442188575727482
0.72101.34734092230.419294133450341
0.73101.4294007897220.394571822811623
0.74101.507521983470.369264399398855
0.75101.5818862769880.344975889857233
0.76101.6530155786650.32342957247935
0.77101.721770579170.306422373219679
0.78101.7893012350870.295540495235221
0.79101.8569448244630.291542433312748
0.8101.9260774686640.294365581806668
0.81101.9979383361630.30270005227058
0.82102.0734586013090.314409205222261
0.83102.1531339999480.326607188479933
0.84102.2369748322640.336727027941881
0.85102.3245481736720.342715181244748
0.86102.41509844260.34347437862015
0.87102.5077071005720.339168043004904
0.88102.6014470746420.330298836198963
0.89102.6955130749530.31794706945346
0.9102.789355646220.302804203965737
0.91102.8828767181040.285730245259857
0.92102.976702898280.268474361047848
0.93103.0724072872090.254297641888768
0.94103.1723495047540.246693403308561
0.95103.2787153149520.245717275396289
0.96103.3915939117230.243750297046283
0.97103.506603293780.226498889431603
0.98103.6133147847440.182360007957149
0.99103.6961296920740.120029570006466

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 94.0924394535445 & 0.269334887156793 \tabularnewline
0.02 & 94.2188018762232 & 0.197528967448216 \tabularnewline
0.03 & 94.3367500224923 & 0.167795609447567 \tabularnewline
0.04 & 94.4376829120023 & 0.180860497875538 \tabularnewline
0.05 & 94.5293000826854 & 0.20838714195206 \tabularnewline
0.06 & 94.6187790460136 & 0.23209866144222 \tabularnewline
0.07 & 94.7084821115517 & 0.247189730311449 \tabularnewline
0.08 & 94.7979336376704 & 0.256139825304582 \tabularnewline
0.09 & 94.8863163598379 & 0.263797376223197 \tabularnewline
0.1 & 94.973692481927 & 0.275062428807588 \tabularnewline
0.11 & 95.0611294111693 & 0.293150610476182 \tabularnewline
0.12 & 95.1502822700962 & 0.3189207482334 \tabularnewline
0.13 & 95.2428336757618 & 0.350906880028242 \tabularnewline
0.14 & 95.3400095859643 & 0.385530067787864 \tabularnewline
0.15 & 95.4422772583598 & 0.41884793712302 \tabularnewline
0.16 & 95.5492635240856 & 0.447110464641358 \tabularnewline
0.17 & 95.6598801026504 & 0.467740900122869 \tabularnewline
0.18 & 95.7726005118245 & 0.47978729330956 \tabularnewline
0.19 & 95.8858068280654 & 0.483931584056417 \tabularnewline
0.2 & 95.9981209385955 & 0.482523394523885 \tabularnewline
0.21 & 96.1086531424283 & 0.478613005987732 \tabularnewline
0.22 & 96.2171322027086 & 0.475655490200322 \tabularnewline
0.23 & 96.3239132268745 & 0.476655652231058 \tabularnewline
0.24 & 96.4298835248197 & 0.483864971938185 \tabularnewline
0.25 & 96.536298129468 & 0.498791472742704 \tabularnewline
0.26 & 96.6445778548226 & 0.52143421772823 \tabularnewline
0.27 & 96.7560984632558 & 0.551160505914855 \tabularnewline
0.28 & 96.8719942843482 & 0.585850506835869 \tabularnewline
0.29 & 96.9929956830336 & 0.622708845004665 \tabularnewline
0.3 & 97.1193167321335 & 0.658488517928742 \tabularnewline
0.31 & 97.2506055253373 & 0.690012467826487 \tabularnewline
0.32 & 97.3859632503278 & 0.714377933961304 \tabularnewline
0.33 & 97.5240293306317 & 0.729262973998592 \tabularnewline
0.34 & 97.6631201693269 & 0.733519232218919 \tabularnewline
0.35 & 97.8014007680881 & 0.726817183651702 \tabularnewline
0.36 & 97.9370640814464 & 0.709921656267311 \tabularnewline
0.37 & 98.0684936127313 & 0.684593892722613 \tabularnewline
0.38 & 98.1943901261743 & 0.652785781697734 \tabularnewline
0.39 & 98.3138517487634 & 0.617058703727667 \tabularnewline
0.4 & 98.4264057988442 & 0.57989022033083 \tabularnewline
0.41 & 98.5319981901527 & 0.54336133856868 \tabularnewline
0.42 & 98.630950810093 & 0.509453500682466 \tabularnewline
0.43 & 98.7238985360854 & 0.479809010418021 \tabularnewline
0.44 & 98.8117161733555 & 0.455264693965694 \tabularnewline
0.45 & 98.8954427701749 & 0.43692283473619 \tabularnewline
0.46 & 98.9762077605553 & 0.425102828334895 \tabularnewline
0.47 & 99.0551611444207 & 0.419584998582877 \tabularnewline
0.48 & 99.133408868098 & 0.420220756542834 \tabularnewline
0.49 & 99.2119546345401 & 0.426051870351271 \tabularnewline
0.5 & 99.2916501225533 & 0.43616200757197 \tabularnewline
0.51 & 99.3731564520116 & 0.449197043249236 \tabularnewline
0.52 & 99.4569201614604 & 0.463744371499818 \tabularnewline
0.53 & 99.5431665941057 & 0.47851164775378 \tabularnewline
0.54 & 99.6319122753822 & 0.492182933273074 \tabularnewline
0.55 & 99.722995714853 & 0.503890273643571 \tabularnewline
0.56 & 99.8161234135084 & 0.512996227116604 \tabularnewline
0.57 & 99.9109252232824 & 0.51948207835378 \tabularnewline
0.58 & 100.007011199661 & 0.523062329878866 \tabularnewline
0.59 & 100.104021282397 & 0.524530520268759 \tabularnewline
0.6 & 100.201659912591 & 0.524239070474448 \tabularnewline
0.61 & 100.299710096744 & 0.522922374958729 \tabularnewline
0.62 & 100.398025113 & 0.521025020894124 \tabularnewline
0.63 & 100.496500317139 & 0.51888332125173 \tabularnewline
0.64 & 100.595031439015 & 0.516368427926976 \tabularnewline
0.65 & 100.693468489788 & 0.513091933533994 \tabularnewline
0.66 & 100.791575330665 & 0.508386276171956 \tabularnewline
0.67 & 100.889003939809 & 0.501545599085624 \tabularnewline
0.68 & 100.985289793783 & 0.491807221976172 \tabularnewline
0.69 & 101.079871249107 & 0.478751895900442 \tabularnewline
0.7 & 101.172132174768 & 0.462135934795436 \tabularnewline
0.71 & 101.261463985288 & 0.442188575727482 \tabularnewline
0.72 & 101.3473409223 & 0.419294133450341 \tabularnewline
0.73 & 101.429400789722 & 0.394571822811623 \tabularnewline
0.74 & 101.50752198347 & 0.369264399398855 \tabularnewline
0.75 & 101.581886276988 & 0.344975889857233 \tabularnewline
0.76 & 101.653015578665 & 0.32342957247935 \tabularnewline
0.77 & 101.72177057917 & 0.306422373219679 \tabularnewline
0.78 & 101.789301235087 & 0.295540495235221 \tabularnewline
0.79 & 101.856944824463 & 0.291542433312748 \tabularnewline
0.8 & 101.926077468664 & 0.294365581806668 \tabularnewline
0.81 & 101.997938336163 & 0.30270005227058 \tabularnewline
0.82 & 102.073458601309 & 0.314409205222261 \tabularnewline
0.83 & 102.153133999948 & 0.326607188479933 \tabularnewline
0.84 & 102.236974832264 & 0.336727027941881 \tabularnewline
0.85 & 102.324548173672 & 0.342715181244748 \tabularnewline
0.86 & 102.4150984426 & 0.34347437862015 \tabularnewline
0.87 & 102.507707100572 & 0.339168043004904 \tabularnewline
0.88 & 102.601447074642 & 0.330298836198963 \tabularnewline
0.89 & 102.695513074953 & 0.31794706945346 \tabularnewline
0.9 & 102.78935564622 & 0.302804203965737 \tabularnewline
0.91 & 102.882876718104 & 0.285730245259857 \tabularnewline
0.92 & 102.97670289828 & 0.268474361047848 \tabularnewline
0.93 & 103.072407287209 & 0.254297641888768 \tabularnewline
0.94 & 103.172349504754 & 0.246693403308561 \tabularnewline
0.95 & 103.278715314952 & 0.245717275396289 \tabularnewline
0.96 & 103.391593911723 & 0.243750297046283 \tabularnewline
0.97 & 103.50660329378 & 0.226498889431603 \tabularnewline
0.98 & 103.613314784744 & 0.182360007957149 \tabularnewline
0.99 & 103.696129692074 & 0.120029570006466 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]94.0924394535445[/C][C]0.269334887156793[/C][/ROW]
[ROW][C]0.02[/C][C]94.2188018762232[/C][C]0.197528967448216[/C][/ROW]
[ROW][C]0.03[/C][C]94.3367500224923[/C][C]0.167795609447567[/C][/ROW]
[ROW][C]0.04[/C][C]94.4376829120023[/C][C]0.180860497875538[/C][/ROW]
[ROW][C]0.05[/C][C]94.5293000826854[/C][C]0.20838714195206[/C][/ROW]
[ROW][C]0.06[/C][C]94.6187790460136[/C][C]0.23209866144222[/C][/ROW]
[ROW][C]0.07[/C][C]94.7084821115517[/C][C]0.247189730311449[/C][/ROW]
[ROW][C]0.08[/C][C]94.7979336376704[/C][C]0.256139825304582[/C][/ROW]
[ROW][C]0.09[/C][C]94.8863163598379[/C][C]0.263797376223197[/C][/ROW]
[ROW][C]0.1[/C][C]94.973692481927[/C][C]0.275062428807588[/C][/ROW]
[ROW][C]0.11[/C][C]95.0611294111693[/C][C]0.293150610476182[/C][/ROW]
[ROW][C]0.12[/C][C]95.1502822700962[/C][C]0.3189207482334[/C][/ROW]
[ROW][C]0.13[/C][C]95.2428336757618[/C][C]0.350906880028242[/C][/ROW]
[ROW][C]0.14[/C][C]95.3400095859643[/C][C]0.385530067787864[/C][/ROW]
[ROW][C]0.15[/C][C]95.4422772583598[/C][C]0.41884793712302[/C][/ROW]
[ROW][C]0.16[/C][C]95.5492635240856[/C][C]0.447110464641358[/C][/ROW]
[ROW][C]0.17[/C][C]95.6598801026504[/C][C]0.467740900122869[/C][/ROW]
[ROW][C]0.18[/C][C]95.7726005118245[/C][C]0.47978729330956[/C][/ROW]
[ROW][C]0.19[/C][C]95.8858068280654[/C][C]0.483931584056417[/C][/ROW]
[ROW][C]0.2[/C][C]95.9981209385955[/C][C]0.482523394523885[/C][/ROW]
[ROW][C]0.21[/C][C]96.1086531424283[/C][C]0.478613005987732[/C][/ROW]
[ROW][C]0.22[/C][C]96.2171322027086[/C][C]0.475655490200322[/C][/ROW]
[ROW][C]0.23[/C][C]96.3239132268745[/C][C]0.476655652231058[/C][/ROW]
[ROW][C]0.24[/C][C]96.4298835248197[/C][C]0.483864971938185[/C][/ROW]
[ROW][C]0.25[/C][C]96.536298129468[/C][C]0.498791472742704[/C][/ROW]
[ROW][C]0.26[/C][C]96.6445778548226[/C][C]0.52143421772823[/C][/ROW]
[ROW][C]0.27[/C][C]96.7560984632558[/C][C]0.551160505914855[/C][/ROW]
[ROW][C]0.28[/C][C]96.8719942843482[/C][C]0.585850506835869[/C][/ROW]
[ROW][C]0.29[/C][C]96.9929956830336[/C][C]0.622708845004665[/C][/ROW]
[ROW][C]0.3[/C][C]97.1193167321335[/C][C]0.658488517928742[/C][/ROW]
[ROW][C]0.31[/C][C]97.2506055253373[/C][C]0.690012467826487[/C][/ROW]
[ROW][C]0.32[/C][C]97.3859632503278[/C][C]0.714377933961304[/C][/ROW]
[ROW][C]0.33[/C][C]97.5240293306317[/C][C]0.729262973998592[/C][/ROW]
[ROW][C]0.34[/C][C]97.6631201693269[/C][C]0.733519232218919[/C][/ROW]
[ROW][C]0.35[/C][C]97.8014007680881[/C][C]0.726817183651702[/C][/ROW]
[ROW][C]0.36[/C][C]97.9370640814464[/C][C]0.709921656267311[/C][/ROW]
[ROW][C]0.37[/C][C]98.0684936127313[/C][C]0.684593892722613[/C][/ROW]
[ROW][C]0.38[/C][C]98.1943901261743[/C][C]0.652785781697734[/C][/ROW]
[ROW][C]0.39[/C][C]98.3138517487634[/C][C]0.617058703727667[/C][/ROW]
[ROW][C]0.4[/C][C]98.4264057988442[/C][C]0.57989022033083[/C][/ROW]
[ROW][C]0.41[/C][C]98.5319981901527[/C][C]0.54336133856868[/C][/ROW]
[ROW][C]0.42[/C][C]98.630950810093[/C][C]0.509453500682466[/C][/ROW]
[ROW][C]0.43[/C][C]98.7238985360854[/C][C]0.479809010418021[/C][/ROW]
[ROW][C]0.44[/C][C]98.8117161733555[/C][C]0.455264693965694[/C][/ROW]
[ROW][C]0.45[/C][C]98.8954427701749[/C][C]0.43692283473619[/C][/ROW]
[ROW][C]0.46[/C][C]98.9762077605553[/C][C]0.425102828334895[/C][/ROW]
[ROW][C]0.47[/C][C]99.0551611444207[/C][C]0.419584998582877[/C][/ROW]
[ROW][C]0.48[/C][C]99.133408868098[/C][C]0.420220756542834[/C][/ROW]
[ROW][C]0.49[/C][C]99.2119546345401[/C][C]0.426051870351271[/C][/ROW]
[ROW][C]0.5[/C][C]99.2916501225533[/C][C]0.43616200757197[/C][/ROW]
[ROW][C]0.51[/C][C]99.3731564520116[/C][C]0.449197043249236[/C][/ROW]
[ROW][C]0.52[/C][C]99.4569201614604[/C][C]0.463744371499818[/C][/ROW]
[ROW][C]0.53[/C][C]99.5431665941057[/C][C]0.47851164775378[/C][/ROW]
[ROW][C]0.54[/C][C]99.6319122753822[/C][C]0.492182933273074[/C][/ROW]
[ROW][C]0.55[/C][C]99.722995714853[/C][C]0.503890273643571[/C][/ROW]
[ROW][C]0.56[/C][C]99.8161234135084[/C][C]0.512996227116604[/C][/ROW]
[ROW][C]0.57[/C][C]99.9109252232824[/C][C]0.51948207835378[/C][/ROW]
[ROW][C]0.58[/C][C]100.007011199661[/C][C]0.523062329878866[/C][/ROW]
[ROW][C]0.59[/C][C]100.104021282397[/C][C]0.524530520268759[/C][/ROW]
[ROW][C]0.6[/C][C]100.201659912591[/C][C]0.524239070474448[/C][/ROW]
[ROW][C]0.61[/C][C]100.299710096744[/C][C]0.522922374958729[/C][/ROW]
[ROW][C]0.62[/C][C]100.398025113[/C][C]0.521025020894124[/C][/ROW]
[ROW][C]0.63[/C][C]100.496500317139[/C][C]0.51888332125173[/C][/ROW]
[ROW][C]0.64[/C][C]100.595031439015[/C][C]0.516368427926976[/C][/ROW]
[ROW][C]0.65[/C][C]100.693468489788[/C][C]0.513091933533994[/C][/ROW]
[ROW][C]0.66[/C][C]100.791575330665[/C][C]0.508386276171956[/C][/ROW]
[ROW][C]0.67[/C][C]100.889003939809[/C][C]0.501545599085624[/C][/ROW]
[ROW][C]0.68[/C][C]100.985289793783[/C][C]0.491807221976172[/C][/ROW]
[ROW][C]0.69[/C][C]101.079871249107[/C][C]0.478751895900442[/C][/ROW]
[ROW][C]0.7[/C][C]101.172132174768[/C][C]0.462135934795436[/C][/ROW]
[ROW][C]0.71[/C][C]101.261463985288[/C][C]0.442188575727482[/C][/ROW]
[ROW][C]0.72[/C][C]101.3473409223[/C][C]0.419294133450341[/C][/ROW]
[ROW][C]0.73[/C][C]101.429400789722[/C][C]0.394571822811623[/C][/ROW]
[ROW][C]0.74[/C][C]101.50752198347[/C][C]0.369264399398855[/C][/ROW]
[ROW][C]0.75[/C][C]101.581886276988[/C][C]0.344975889857233[/C][/ROW]
[ROW][C]0.76[/C][C]101.653015578665[/C][C]0.32342957247935[/C][/ROW]
[ROW][C]0.77[/C][C]101.72177057917[/C][C]0.306422373219679[/C][/ROW]
[ROW][C]0.78[/C][C]101.789301235087[/C][C]0.295540495235221[/C][/ROW]
[ROW][C]0.79[/C][C]101.856944824463[/C][C]0.291542433312748[/C][/ROW]
[ROW][C]0.8[/C][C]101.926077468664[/C][C]0.294365581806668[/C][/ROW]
[ROW][C]0.81[/C][C]101.997938336163[/C][C]0.30270005227058[/C][/ROW]
[ROW][C]0.82[/C][C]102.073458601309[/C][C]0.314409205222261[/C][/ROW]
[ROW][C]0.83[/C][C]102.153133999948[/C][C]0.326607188479933[/C][/ROW]
[ROW][C]0.84[/C][C]102.236974832264[/C][C]0.336727027941881[/C][/ROW]
[ROW][C]0.85[/C][C]102.324548173672[/C][C]0.342715181244748[/C][/ROW]
[ROW][C]0.86[/C][C]102.4150984426[/C][C]0.34347437862015[/C][/ROW]
[ROW][C]0.87[/C][C]102.507707100572[/C][C]0.339168043004904[/C][/ROW]
[ROW][C]0.88[/C][C]102.601447074642[/C][C]0.330298836198963[/C][/ROW]
[ROW][C]0.89[/C][C]102.695513074953[/C][C]0.31794706945346[/C][/ROW]
[ROW][C]0.9[/C][C]102.78935564622[/C][C]0.302804203965737[/C][/ROW]
[ROW][C]0.91[/C][C]102.882876718104[/C][C]0.285730245259857[/C][/ROW]
[ROW][C]0.92[/C][C]102.97670289828[/C][C]0.268474361047848[/C][/ROW]
[ROW][C]0.93[/C][C]103.072407287209[/C][C]0.254297641888768[/C][/ROW]
[ROW][C]0.94[/C][C]103.172349504754[/C][C]0.246693403308561[/C][/ROW]
[ROW][C]0.95[/C][C]103.278715314952[/C][C]0.245717275396289[/C][/ROW]
[ROW][C]0.96[/C][C]103.391593911723[/C][C]0.243750297046283[/C][/ROW]
[ROW][C]0.97[/C][C]103.50660329378[/C][C]0.226498889431603[/C][/ROW]
[ROW][C]0.98[/C][C]103.613314784744[/C][C]0.182360007957149[/C][/ROW]
[ROW][C]0.99[/C][C]103.696129692074[/C][C]0.120029570006466[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0194.09243945354450.269334887156793
0.0294.21880187622320.197528967448216
0.0394.33675002249230.167795609447567
0.0494.43768291200230.180860497875538
0.0594.52930008268540.20838714195206
0.0694.61877904601360.23209866144222
0.0794.70848211155170.247189730311449
0.0894.79793363767040.256139825304582
0.0994.88631635983790.263797376223197
0.194.9736924819270.275062428807588
0.1195.06112941116930.293150610476182
0.1295.15028227009620.3189207482334
0.1395.24283367576180.350906880028242
0.1495.34000958596430.385530067787864
0.1595.44227725835980.41884793712302
0.1695.54926352408560.447110464641358
0.1795.65988010265040.467740900122869
0.1895.77260051182450.47978729330956
0.1995.88580682806540.483931584056417
0.295.99812093859550.482523394523885
0.2196.10865314242830.478613005987732
0.2296.21713220270860.475655490200322
0.2396.32391322687450.476655652231058
0.2496.42988352481970.483864971938185
0.2596.5362981294680.498791472742704
0.2696.64457785482260.52143421772823
0.2796.75609846325580.551160505914855
0.2896.87199428434820.585850506835869
0.2996.99299568303360.622708845004665
0.397.11931673213350.658488517928742
0.3197.25060552533730.690012467826487
0.3297.38596325032780.714377933961304
0.3397.52402933063170.729262973998592
0.3497.66312016932690.733519232218919
0.3597.80140076808810.726817183651702
0.3697.93706408144640.709921656267311
0.3798.06849361273130.684593892722613
0.3898.19439012617430.652785781697734
0.3998.31385174876340.617058703727667
0.498.42640579884420.57989022033083
0.4198.53199819015270.54336133856868
0.4298.6309508100930.509453500682466
0.4398.72389853608540.479809010418021
0.4498.81171617335550.455264693965694
0.4598.89544277017490.43692283473619
0.4698.97620776055530.425102828334895
0.4799.05516114442070.419584998582877
0.4899.1334088680980.420220756542834
0.4999.21195463454010.426051870351271
0.599.29165012255330.43616200757197
0.5199.37315645201160.449197043249236
0.5299.45692016146040.463744371499818
0.5399.54316659410570.47851164775378
0.5499.63191227538220.492182933273074
0.5599.7229957148530.503890273643571
0.5699.81612341350840.512996227116604
0.5799.91092522328240.51948207835378
0.58100.0070111996610.523062329878866
0.59100.1040212823970.524530520268759
0.6100.2016599125910.524239070474448
0.61100.2997100967440.522922374958729
0.62100.3980251130.521025020894124
0.63100.4965003171390.51888332125173
0.64100.5950314390150.516368427926976
0.65100.6934684897880.513091933533994
0.66100.7915753306650.508386276171956
0.67100.8890039398090.501545599085624
0.68100.9852897937830.491807221976172
0.69101.0798712491070.478751895900442
0.7101.1721321747680.462135934795436
0.71101.2614639852880.442188575727482
0.72101.34734092230.419294133450341
0.73101.4294007897220.394571822811623
0.74101.507521983470.369264399398855
0.75101.5818862769880.344975889857233
0.76101.6530155786650.32342957247935
0.77101.721770579170.306422373219679
0.78101.7893012350870.295540495235221
0.79101.8569448244630.291542433312748
0.8101.9260774686640.294365581806668
0.81101.9979383361630.30270005227058
0.82102.0734586013090.314409205222261
0.83102.1531339999480.326607188479933
0.84102.2369748322640.336727027941881
0.85102.3245481736720.342715181244748
0.86102.41509844260.34347437862015
0.87102.5077071005720.339168043004904
0.88102.6014470746420.330298836198963
0.89102.6955130749530.31794706945346
0.9102.789355646220.302804203965737
0.91102.8828767181040.285730245259857
0.92102.976702898280.268474361047848
0.93103.0724072872090.254297641888768
0.94103.1723495047540.246693403308561
0.95103.2787153149520.245717275396289
0.96103.3915939117230.243750297046283
0.97103.506603293780.226498889431603
0.98103.6133147847440.182360007957149
0.99103.6961296920740.120029570006466


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.01'
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')