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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 computationWed, 08 Oct 2014 13:23:20 +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/2014/Oct/08/t1412771036d2ryts4te4v2gb5.htm/, Retrieved Sat, 11 May 2024 22:01:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=239551, Retrieved Sat, 11 May 2024 22:01:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact53

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] [] [2014-10-08 12:23:20] [96e2dc230ff7f688e72ca2986234e864] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
105.86
105.97
106.08
106.04
106.65
106.85
106.85
106.95
107.29
107.65
107.87
107.98
107.98
107.83
108.69
108.91
109.67
109.72
109.72
109.72
109.74
109.78
110.49
110.37
110.37
110.41
110.64
110.88
110.91
110.99
110.99
110.99
111.28
112.37
112.35
112.24
112.24
112.21
112.35
112.71
113.08
113.26
113.26
113.27
113.85
114.92
115.24
115.21
115.21
115.18
115.24
116.24
116.68
116.77
116.77
116.84
116.94
117.83
118.16
118.27
113.62
113.72
113.53
113.69
114.61
114.46
114.68
114.72
115.62
115.4
115.43
115.44

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239551&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239551&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239551&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01105.8992883188130.10926163394508
0.02105.9682921099580.142640897252807
0.03106.0602744627650.214731856029039
0.04106.1737099631350.297476563153235
0.05106.3064008350620.363996852197117
0.06106.4523716844020.402947245344278
0.07106.6040091245010.41998620548484
0.08106.7554325127150.429060491552517
0.09106.9040754960070.441978681706589
0.1107.0501655831180.462431297823129
0.11107.1952639897170.488033379687317
0.12107.3410342510620.515223426685424
0.13107.4887254697760.543016812193774
0.14107.6392248744940.572715852566994
0.15107.793279110610.606409171093544
0.16107.9515655885490.644596830973549
0.17108.1145211913150.684927019870955
0.18108.2820310536980.72306608501855
0.19108.453161165570.752943964784312
0.2108.6260867381980.769563678765201
0.21108.7982722000220.770267395462312
0.22108.9668556661150.754556339945673
0.23109.1291223045580.724909685639649
0.24109.282933983740.685543788274987
0.25109.4270114091010.642011811222672
0.26109.5610204482890.599474458241151
0.27109.6854736515110.562054483929787
0.28109.8015026832390.532096119438839
0.29109.9105779176490.510370629468577
0.3110.014247606750.495935926861798
0.31110.1139475604410.487318894072046
0.32110.2109030887690.482828243466008
0.33110.3061174408540.481573075441702
0.34110.4004215515420.483005635268468
0.35110.4945511647890.487396265430305
0.36110.5892186111180.495200195638993
0.37110.6851548933690.507163567087148
0.38110.7831098075620.523830458056351
0.39110.8838104178140.544947506756464
0.4110.9878888986310.56959372938378
0.41111.0957979543250.596342817410499
0.42111.2077348362760.623201271982978
0.43111.3235931685790.648085906151828
0.44111.4429558210470.66888054442959
0.45111.5651331558170.683922261115815
0.46111.6892410327460.692616066328283
0.47111.8143042852040.694589685780245
0.48111.9393661114350.690682884034858
0.49112.0635833341970.682027690038522
0.5112.1862918895080.670121194715058
0.51112.3070349832430.65646306707296
0.52112.4255558287010.642308772015358
0.53112.5417650981180.628460276164096
0.54112.65569795530.615274147621877
0.55112.7674756371110.602880166630516
0.56112.8772822635280.591056677288696
0.57112.985360387970.580108218526259
0.58113.0920210192330.570600043198866
0.59113.1976577830.562867196735399
0.6113.3027522718290.557779765501788
0.61113.4078591402910.555868174858806
0.62113.5135646521440.557667409096959
0.63113.6204197225620.562632234721649
0.64113.7288560206850.56999342311718
0.65113.8390994034120.578320480236368
0.66113.9510973541150.585638042073366
0.67114.0644756119070.589961721673912
0.68114.1785342581530.589410806629852
0.69114.2922865504310.582686503457411
0.7114.4045366421160.568857578524103
0.71114.5139868131250.547749272548992
0.72114.6193621451960.519996145208933
0.73114.7195408958310.486701529290527
0.74114.8136813574540.449579483462704
0.75114.9013392697350.410672668718729
0.76114.9825722558070.372297560908162
0.77115.0580279063160.337291767973678
0.78115.1290091401450.308646744749953
0.79115.1975040254730.28957180956241
0.8115.266158006790.283559556476129
0.81115.3381569207950.292910383301851
0.82115.4169846617640.318629640412203
0.83115.5060284112180.358876135373801
0.84115.6080366102350.409252371088206
0.85115.7244956450340.462683176237441
0.86115.8550738114930.510403925732907
0.87115.9973604219140.542962786813448
0.88116.1471606692330.552848536368388
0.89116.2995416026530.536988347634795
0.9116.4506195035050.499362613028516
0.91116.5997237809340.45254238342105
0.92116.7511172186340.417428070154597
0.93116.9140568754110.417178569370244
0.94117.0999783321340.459838381333605
0.95117.3164632981890.5223283094
0.96117.559694167020.557569219745316
0.97117.8095925707490.517674606486843
0.98118.0324909980280.386956114543369
0.99118.1927945653240.214090292534143

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 105.899288318813 & 0.10926163394508 \tabularnewline
0.02 & 105.968292109958 & 0.142640897252807 \tabularnewline
0.03 & 106.060274462765 & 0.214731856029039 \tabularnewline
0.04 & 106.173709963135 & 0.297476563153235 \tabularnewline
0.05 & 106.306400835062 & 0.363996852197117 \tabularnewline
0.06 & 106.452371684402 & 0.402947245344278 \tabularnewline
0.07 & 106.604009124501 & 0.41998620548484 \tabularnewline
0.08 & 106.755432512715 & 0.429060491552517 \tabularnewline
0.09 & 106.904075496007 & 0.441978681706589 \tabularnewline
0.1 & 107.050165583118 & 0.462431297823129 \tabularnewline
0.11 & 107.195263989717 & 0.488033379687317 \tabularnewline
0.12 & 107.341034251062 & 0.515223426685424 \tabularnewline
0.13 & 107.488725469776 & 0.543016812193774 \tabularnewline
0.14 & 107.639224874494 & 0.572715852566994 \tabularnewline
0.15 & 107.79327911061 & 0.606409171093544 \tabularnewline
0.16 & 107.951565588549 & 0.644596830973549 \tabularnewline
0.17 & 108.114521191315 & 0.684927019870955 \tabularnewline
0.18 & 108.282031053698 & 0.72306608501855 \tabularnewline
0.19 & 108.45316116557 & 0.752943964784312 \tabularnewline
0.2 & 108.626086738198 & 0.769563678765201 \tabularnewline
0.21 & 108.798272200022 & 0.770267395462312 \tabularnewline
0.22 & 108.966855666115 & 0.754556339945673 \tabularnewline
0.23 & 109.129122304558 & 0.724909685639649 \tabularnewline
0.24 & 109.28293398374 & 0.685543788274987 \tabularnewline
0.25 & 109.427011409101 & 0.642011811222672 \tabularnewline
0.26 & 109.561020448289 & 0.599474458241151 \tabularnewline
0.27 & 109.685473651511 & 0.562054483929787 \tabularnewline
0.28 & 109.801502683239 & 0.532096119438839 \tabularnewline
0.29 & 109.910577917649 & 0.510370629468577 \tabularnewline
0.3 & 110.01424760675 & 0.495935926861798 \tabularnewline
0.31 & 110.113947560441 & 0.487318894072046 \tabularnewline
0.32 & 110.210903088769 & 0.482828243466008 \tabularnewline
0.33 & 110.306117440854 & 0.481573075441702 \tabularnewline
0.34 & 110.400421551542 & 0.483005635268468 \tabularnewline
0.35 & 110.494551164789 & 0.487396265430305 \tabularnewline
0.36 & 110.589218611118 & 0.495200195638993 \tabularnewline
0.37 & 110.685154893369 & 0.507163567087148 \tabularnewline
0.38 & 110.783109807562 & 0.523830458056351 \tabularnewline
0.39 & 110.883810417814 & 0.544947506756464 \tabularnewline
0.4 & 110.987888898631 & 0.56959372938378 \tabularnewline
0.41 & 111.095797954325 & 0.596342817410499 \tabularnewline
0.42 & 111.207734836276 & 0.623201271982978 \tabularnewline
0.43 & 111.323593168579 & 0.648085906151828 \tabularnewline
0.44 & 111.442955821047 & 0.66888054442959 \tabularnewline
0.45 & 111.565133155817 & 0.683922261115815 \tabularnewline
0.46 & 111.689241032746 & 0.692616066328283 \tabularnewline
0.47 & 111.814304285204 & 0.694589685780245 \tabularnewline
0.48 & 111.939366111435 & 0.690682884034858 \tabularnewline
0.49 & 112.063583334197 & 0.682027690038522 \tabularnewline
0.5 & 112.186291889508 & 0.670121194715058 \tabularnewline
0.51 & 112.307034983243 & 0.65646306707296 \tabularnewline
0.52 & 112.425555828701 & 0.642308772015358 \tabularnewline
0.53 & 112.541765098118 & 0.628460276164096 \tabularnewline
0.54 & 112.6556979553 & 0.615274147621877 \tabularnewline
0.55 & 112.767475637111 & 0.602880166630516 \tabularnewline
0.56 & 112.877282263528 & 0.591056677288696 \tabularnewline
0.57 & 112.98536038797 & 0.580108218526259 \tabularnewline
0.58 & 113.092021019233 & 0.570600043198866 \tabularnewline
0.59 & 113.197657783 & 0.562867196735399 \tabularnewline
0.6 & 113.302752271829 & 0.557779765501788 \tabularnewline
0.61 & 113.407859140291 & 0.555868174858806 \tabularnewline
0.62 & 113.513564652144 & 0.557667409096959 \tabularnewline
0.63 & 113.620419722562 & 0.562632234721649 \tabularnewline
0.64 & 113.728856020685 & 0.56999342311718 \tabularnewline
0.65 & 113.839099403412 & 0.578320480236368 \tabularnewline
0.66 & 113.951097354115 & 0.585638042073366 \tabularnewline
0.67 & 114.064475611907 & 0.589961721673912 \tabularnewline
0.68 & 114.178534258153 & 0.589410806629852 \tabularnewline
0.69 & 114.292286550431 & 0.582686503457411 \tabularnewline
0.7 & 114.404536642116 & 0.568857578524103 \tabularnewline
0.71 & 114.513986813125 & 0.547749272548992 \tabularnewline
0.72 & 114.619362145196 & 0.519996145208933 \tabularnewline
0.73 & 114.719540895831 & 0.486701529290527 \tabularnewline
0.74 & 114.813681357454 & 0.449579483462704 \tabularnewline
0.75 & 114.901339269735 & 0.410672668718729 \tabularnewline
0.76 & 114.982572255807 & 0.372297560908162 \tabularnewline
0.77 & 115.058027906316 & 0.337291767973678 \tabularnewline
0.78 & 115.129009140145 & 0.308646744749953 \tabularnewline
0.79 & 115.197504025473 & 0.28957180956241 \tabularnewline
0.8 & 115.26615800679 & 0.283559556476129 \tabularnewline
0.81 & 115.338156920795 & 0.292910383301851 \tabularnewline
0.82 & 115.416984661764 & 0.318629640412203 \tabularnewline
0.83 & 115.506028411218 & 0.358876135373801 \tabularnewline
0.84 & 115.608036610235 & 0.409252371088206 \tabularnewline
0.85 & 115.724495645034 & 0.462683176237441 \tabularnewline
0.86 & 115.855073811493 & 0.510403925732907 \tabularnewline
0.87 & 115.997360421914 & 0.542962786813448 \tabularnewline
0.88 & 116.147160669233 & 0.552848536368388 \tabularnewline
0.89 & 116.299541602653 & 0.536988347634795 \tabularnewline
0.9 & 116.450619503505 & 0.499362613028516 \tabularnewline
0.91 & 116.599723780934 & 0.45254238342105 \tabularnewline
0.92 & 116.751117218634 & 0.417428070154597 \tabularnewline
0.93 & 116.914056875411 & 0.417178569370244 \tabularnewline
0.94 & 117.099978332134 & 0.459838381333605 \tabularnewline
0.95 & 117.316463298189 & 0.5223283094 \tabularnewline
0.96 & 117.55969416702 & 0.557569219745316 \tabularnewline
0.97 & 117.809592570749 & 0.517674606486843 \tabularnewline
0.98 & 118.032490998028 & 0.386956114543369 \tabularnewline
0.99 & 118.192794565324 & 0.214090292534143 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239551&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]105.899288318813[/C][C]0.10926163394508[/C][/ROW]
[ROW][C]0.02[/C][C]105.968292109958[/C][C]0.142640897252807[/C][/ROW]
[ROW][C]0.03[/C][C]106.060274462765[/C][C]0.214731856029039[/C][/ROW]
[ROW][C]0.04[/C][C]106.173709963135[/C][C]0.297476563153235[/C][/ROW]
[ROW][C]0.05[/C][C]106.306400835062[/C][C]0.363996852197117[/C][/ROW]
[ROW][C]0.06[/C][C]106.452371684402[/C][C]0.402947245344278[/C][/ROW]
[ROW][C]0.07[/C][C]106.604009124501[/C][C]0.41998620548484[/C][/ROW]
[ROW][C]0.08[/C][C]106.755432512715[/C][C]0.429060491552517[/C][/ROW]
[ROW][C]0.09[/C][C]106.904075496007[/C][C]0.441978681706589[/C][/ROW]
[ROW][C]0.1[/C][C]107.050165583118[/C][C]0.462431297823129[/C][/ROW]
[ROW][C]0.11[/C][C]107.195263989717[/C][C]0.488033379687317[/C][/ROW]
[ROW][C]0.12[/C][C]107.341034251062[/C][C]0.515223426685424[/C][/ROW]
[ROW][C]0.13[/C][C]107.488725469776[/C][C]0.543016812193774[/C][/ROW]
[ROW][C]0.14[/C][C]107.639224874494[/C][C]0.572715852566994[/C][/ROW]
[ROW][C]0.15[/C][C]107.79327911061[/C][C]0.606409171093544[/C][/ROW]
[ROW][C]0.16[/C][C]107.951565588549[/C][C]0.644596830973549[/C][/ROW]
[ROW][C]0.17[/C][C]108.114521191315[/C][C]0.684927019870955[/C][/ROW]
[ROW][C]0.18[/C][C]108.282031053698[/C][C]0.72306608501855[/C][/ROW]
[ROW][C]0.19[/C][C]108.45316116557[/C][C]0.752943964784312[/C][/ROW]
[ROW][C]0.2[/C][C]108.626086738198[/C][C]0.769563678765201[/C][/ROW]
[ROW][C]0.21[/C][C]108.798272200022[/C][C]0.770267395462312[/C][/ROW]
[ROW][C]0.22[/C][C]108.966855666115[/C][C]0.754556339945673[/C][/ROW]
[ROW][C]0.23[/C][C]109.129122304558[/C][C]0.724909685639649[/C][/ROW]
[ROW][C]0.24[/C][C]109.28293398374[/C][C]0.685543788274987[/C][/ROW]
[ROW][C]0.25[/C][C]109.427011409101[/C][C]0.642011811222672[/C][/ROW]
[ROW][C]0.26[/C][C]109.561020448289[/C][C]0.599474458241151[/C][/ROW]
[ROW][C]0.27[/C][C]109.685473651511[/C][C]0.562054483929787[/C][/ROW]
[ROW][C]0.28[/C][C]109.801502683239[/C][C]0.532096119438839[/C][/ROW]
[ROW][C]0.29[/C][C]109.910577917649[/C][C]0.510370629468577[/C][/ROW]
[ROW][C]0.3[/C][C]110.01424760675[/C][C]0.495935926861798[/C][/ROW]
[ROW][C]0.31[/C][C]110.113947560441[/C][C]0.487318894072046[/C][/ROW]
[ROW][C]0.32[/C][C]110.210903088769[/C][C]0.482828243466008[/C][/ROW]
[ROW][C]0.33[/C][C]110.306117440854[/C][C]0.481573075441702[/C][/ROW]
[ROW][C]0.34[/C][C]110.400421551542[/C][C]0.483005635268468[/C][/ROW]
[ROW][C]0.35[/C][C]110.494551164789[/C][C]0.487396265430305[/C][/ROW]
[ROW][C]0.36[/C][C]110.589218611118[/C][C]0.495200195638993[/C][/ROW]
[ROW][C]0.37[/C][C]110.685154893369[/C][C]0.507163567087148[/C][/ROW]
[ROW][C]0.38[/C][C]110.783109807562[/C][C]0.523830458056351[/C][/ROW]
[ROW][C]0.39[/C][C]110.883810417814[/C][C]0.544947506756464[/C][/ROW]
[ROW][C]0.4[/C][C]110.987888898631[/C][C]0.56959372938378[/C][/ROW]
[ROW][C]0.41[/C][C]111.095797954325[/C][C]0.596342817410499[/C][/ROW]
[ROW][C]0.42[/C][C]111.207734836276[/C][C]0.623201271982978[/C][/ROW]
[ROW][C]0.43[/C][C]111.323593168579[/C][C]0.648085906151828[/C][/ROW]
[ROW][C]0.44[/C][C]111.442955821047[/C][C]0.66888054442959[/C][/ROW]
[ROW][C]0.45[/C][C]111.565133155817[/C][C]0.683922261115815[/C][/ROW]
[ROW][C]0.46[/C][C]111.689241032746[/C][C]0.692616066328283[/C][/ROW]
[ROW][C]0.47[/C][C]111.814304285204[/C][C]0.694589685780245[/C][/ROW]
[ROW][C]0.48[/C][C]111.939366111435[/C][C]0.690682884034858[/C][/ROW]
[ROW][C]0.49[/C][C]112.063583334197[/C][C]0.682027690038522[/C][/ROW]
[ROW][C]0.5[/C][C]112.186291889508[/C][C]0.670121194715058[/C][/ROW]
[ROW][C]0.51[/C][C]112.307034983243[/C][C]0.65646306707296[/C][/ROW]
[ROW][C]0.52[/C][C]112.425555828701[/C][C]0.642308772015358[/C][/ROW]
[ROW][C]0.53[/C][C]112.541765098118[/C][C]0.628460276164096[/C][/ROW]
[ROW][C]0.54[/C][C]112.6556979553[/C][C]0.615274147621877[/C][/ROW]
[ROW][C]0.55[/C][C]112.767475637111[/C][C]0.602880166630516[/C][/ROW]
[ROW][C]0.56[/C][C]112.877282263528[/C][C]0.591056677288696[/C][/ROW]
[ROW][C]0.57[/C][C]112.98536038797[/C][C]0.580108218526259[/C][/ROW]
[ROW][C]0.58[/C][C]113.092021019233[/C][C]0.570600043198866[/C][/ROW]
[ROW][C]0.59[/C][C]113.197657783[/C][C]0.562867196735399[/C][/ROW]
[ROW][C]0.6[/C][C]113.302752271829[/C][C]0.557779765501788[/C][/ROW]
[ROW][C]0.61[/C][C]113.407859140291[/C][C]0.555868174858806[/C][/ROW]
[ROW][C]0.62[/C][C]113.513564652144[/C][C]0.557667409096959[/C][/ROW]
[ROW][C]0.63[/C][C]113.620419722562[/C][C]0.562632234721649[/C][/ROW]
[ROW][C]0.64[/C][C]113.728856020685[/C][C]0.56999342311718[/C][/ROW]
[ROW][C]0.65[/C][C]113.839099403412[/C][C]0.578320480236368[/C][/ROW]
[ROW][C]0.66[/C][C]113.951097354115[/C][C]0.585638042073366[/C][/ROW]
[ROW][C]0.67[/C][C]114.064475611907[/C][C]0.589961721673912[/C][/ROW]
[ROW][C]0.68[/C][C]114.178534258153[/C][C]0.589410806629852[/C][/ROW]
[ROW][C]0.69[/C][C]114.292286550431[/C][C]0.582686503457411[/C][/ROW]
[ROW][C]0.7[/C][C]114.404536642116[/C][C]0.568857578524103[/C][/ROW]
[ROW][C]0.71[/C][C]114.513986813125[/C][C]0.547749272548992[/C][/ROW]
[ROW][C]0.72[/C][C]114.619362145196[/C][C]0.519996145208933[/C][/ROW]
[ROW][C]0.73[/C][C]114.719540895831[/C][C]0.486701529290527[/C][/ROW]
[ROW][C]0.74[/C][C]114.813681357454[/C][C]0.449579483462704[/C][/ROW]
[ROW][C]0.75[/C][C]114.901339269735[/C][C]0.410672668718729[/C][/ROW]
[ROW][C]0.76[/C][C]114.982572255807[/C][C]0.372297560908162[/C][/ROW]
[ROW][C]0.77[/C][C]115.058027906316[/C][C]0.337291767973678[/C][/ROW]
[ROW][C]0.78[/C][C]115.129009140145[/C][C]0.308646744749953[/C][/ROW]
[ROW][C]0.79[/C][C]115.197504025473[/C][C]0.28957180956241[/C][/ROW]
[ROW][C]0.8[/C][C]115.26615800679[/C][C]0.283559556476129[/C][/ROW]
[ROW][C]0.81[/C][C]115.338156920795[/C][C]0.292910383301851[/C][/ROW]
[ROW][C]0.82[/C][C]115.416984661764[/C][C]0.318629640412203[/C][/ROW]
[ROW][C]0.83[/C][C]115.506028411218[/C][C]0.358876135373801[/C][/ROW]
[ROW][C]0.84[/C][C]115.608036610235[/C][C]0.409252371088206[/C][/ROW]
[ROW][C]0.85[/C][C]115.724495645034[/C][C]0.462683176237441[/C][/ROW]
[ROW][C]0.86[/C][C]115.855073811493[/C][C]0.510403925732907[/C][/ROW]
[ROW][C]0.87[/C][C]115.997360421914[/C][C]0.542962786813448[/C][/ROW]
[ROW][C]0.88[/C][C]116.147160669233[/C][C]0.552848536368388[/C][/ROW]
[ROW][C]0.89[/C][C]116.299541602653[/C][C]0.536988347634795[/C][/ROW]
[ROW][C]0.9[/C][C]116.450619503505[/C][C]0.499362613028516[/C][/ROW]
[ROW][C]0.91[/C][C]116.599723780934[/C][C]0.45254238342105[/C][/ROW]
[ROW][C]0.92[/C][C]116.751117218634[/C][C]0.417428070154597[/C][/ROW]
[ROW][C]0.93[/C][C]116.914056875411[/C][C]0.417178569370244[/C][/ROW]
[ROW][C]0.94[/C][C]117.099978332134[/C][C]0.459838381333605[/C][/ROW]
[ROW][C]0.95[/C][C]117.316463298189[/C][C]0.5223283094[/C][/ROW]
[ROW][C]0.96[/C][C]117.55969416702[/C][C]0.557569219745316[/C][/ROW]
[ROW][C]0.97[/C][C]117.809592570749[/C][C]0.517674606486843[/C][/ROW]
[ROW][C]0.98[/C][C]118.032490998028[/C][C]0.386956114543369[/C][/ROW]
[ROW][C]0.99[/C][C]118.192794565324[/C][C]0.214090292534143[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239551&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239551&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
0.01105.8992883188130.10926163394508
0.02105.9682921099580.142640897252807
0.03106.0602744627650.214731856029039
0.04106.1737099631350.297476563153235
0.05106.3064008350620.363996852197117
0.06106.4523716844020.402947245344278
0.07106.6040091245010.41998620548484
0.08106.7554325127150.429060491552517
0.09106.9040754960070.441978681706589
0.1107.0501655831180.462431297823129
0.11107.1952639897170.488033379687317
0.12107.3410342510620.515223426685424
0.13107.4887254697760.543016812193774
0.14107.6392248744940.572715852566994
0.15107.793279110610.606409171093544
0.16107.9515655885490.644596830973549
0.17108.1145211913150.684927019870955
0.18108.2820310536980.72306608501855
0.19108.453161165570.752943964784312
0.2108.6260867381980.769563678765201
0.21108.7982722000220.770267395462312
0.22108.9668556661150.754556339945673
0.23109.1291223045580.724909685639649
0.24109.282933983740.685543788274987
0.25109.4270114091010.642011811222672
0.26109.5610204482890.599474458241151
0.27109.6854736515110.562054483929787
0.28109.8015026832390.532096119438839
0.29109.9105779176490.510370629468577
0.3110.014247606750.495935926861798
0.31110.1139475604410.487318894072046
0.32110.2109030887690.482828243466008
0.33110.3061174408540.481573075441702
0.34110.4004215515420.483005635268468
0.35110.4945511647890.487396265430305
0.36110.5892186111180.495200195638993
0.37110.6851548933690.507163567087148
0.38110.7831098075620.523830458056351
0.39110.8838104178140.544947506756464
0.4110.9878888986310.56959372938378
0.41111.0957979543250.596342817410499
0.42111.2077348362760.623201271982978
0.43111.3235931685790.648085906151828
0.44111.4429558210470.66888054442959
0.45111.5651331558170.683922261115815
0.46111.6892410327460.692616066328283
0.47111.8143042852040.694589685780245
0.48111.9393661114350.690682884034858
0.49112.0635833341970.682027690038522
0.5112.1862918895080.670121194715058
0.51112.3070349832430.65646306707296
0.52112.4255558287010.642308772015358
0.53112.5417650981180.628460276164096
0.54112.65569795530.615274147621877
0.55112.7674756371110.602880166630516
0.56112.8772822635280.591056677288696
0.57112.985360387970.580108218526259
0.58113.0920210192330.570600043198866
0.59113.1976577830.562867196735399
0.6113.3027522718290.557779765501788
0.61113.4078591402910.555868174858806
0.62113.5135646521440.557667409096959
0.63113.6204197225620.562632234721649
0.64113.7288560206850.56999342311718
0.65113.8390994034120.578320480236368
0.66113.9510973541150.585638042073366
0.67114.0644756119070.589961721673912
0.68114.1785342581530.589410806629852
0.69114.2922865504310.582686503457411
0.7114.4045366421160.568857578524103
0.71114.5139868131250.547749272548992
0.72114.6193621451960.519996145208933
0.73114.7195408958310.486701529290527
0.74114.8136813574540.449579483462704
0.75114.9013392697350.410672668718729
0.76114.9825722558070.372297560908162
0.77115.0580279063160.337291767973678
0.78115.1290091401450.308646744749953
0.79115.1975040254730.28957180956241
0.8115.266158006790.283559556476129
0.81115.3381569207950.292910383301851
0.82115.4169846617640.318629640412203
0.83115.5060284112180.358876135373801
0.84115.6080366102350.409252371088206
0.85115.7244956450340.462683176237441
0.86115.8550738114930.510403925732907
0.87115.9973604219140.542962786813448
0.88116.1471606692330.552848536368388
0.89116.2995416026530.536988347634795
0.9116.4506195035050.499362613028516
0.91116.5997237809340.45254238342105
0.92116.7511172186340.417428070154597
0.93116.9140568754110.417178569370244
0.94117.0999783321340.459838381333605
0.95117.3164632981890.5223283094
0.96117.559694167020.557569219745316
0.97117.8095925707490.517674606486843
0.98118.0324909980280.386956114543369
0.99118.1927945653240.214090292534143


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')