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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 14:33:51 +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/t148924332534psqcn630ko93j.htm/, Retrieved Tue, 14 May 2024 23:07:03 +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 23:07:03 +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 
99.5
101.8
102.3
102.6
102.5
104.3
105.3
105.8
104.8
104.5
102.8
101.4
103.6
106.8
108.2
108.3
108.4
108.8
109.4
109
109
109.8
110.5
110.5
111.1
110.8
111
111.7
111.9
112.6
112.2
112.3
112.8
114.3
114.3
114
113.9
113.7
113.8
113.8
113.2
112.2
112.2
113.2
113.6
113.2
112.2
110.5
109.2
109
109.1
109.4
108.8
109.6
109.6
109.8
110.5
109
107.5
105.6
103.4
101.9
101.4
101.3
100.8
100.3
100.3
100
99.2
98.1
96.9
96.4

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/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 time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0196.65116467741080.686944007641064
0.0297.10502785888290.961987045563631
0.0397.66051032400621.11815106780723
0.0498.2241096517011.1187555187244
0.0598.7379285642141.02614463839456
0.0699.17897272069380.909611376596729
0.0799.54838108267170.810943267411863
0.0899.85922333064620.744387195956052
0.09100.1272917297380.707470547606507
0.1100.3661246530980.69063632759807
0.11100.5853950388610.684058248465665
0.12100.7912137841060.681054697608984
0.13100.9871953445320.678631574422088
0.14101.1756008257410.677423097580152
0.15101.358225326720.680084432823043
0.16101.5369195523130.689709324976293
0.17101.7137750656960.708180511180842
0.18101.8910776417920.736394035915515
0.19102.0711501446170.774230476798285
0.2102.2561802429410.820785974389908
0.21102.4480846824970.874979872893123
0.22102.6484244575130.934922397166904
0.23102.8583654044740.999270767984032
0.24103.0786744859691.06576748013495
0.25103.3097444418311.13301120725995
0.26103.5516404381621.19939978851656
0.27103.8041588996061.26393343790886
0.28104.066883126721.32597474571336
0.29104.3392172227061.38501707057222
0.3104.6203829784051.44040267060706
0.31104.9093743354841.49074797735506
0.32105.2048782066481.53423227436569
0.33105.5051840858181.56794946745884
0.34105.808113260961.58861728010524
0.35106.1109984775441.59311805108148
0.36106.4107362120861.57880847497456
0.37106.7039186028221.54377311907195
0.38106.9870346526971.48798344319653
0.39107.256715127741.41263447449525
0.4107.5099862838111.32075402009828
0.41107.7444959928361.21628122933737
0.42107.9586817011561.1041539140201
0.43108.1518608553860.989531555188793
0.44108.3242379210460.877343082620605
0.45108.476834812930.772280378620877
0.46108.6113611182730.67764139126477
0.47108.7300457473760.596352390272213
0.48108.8354525776320.529967721508822
0.49108.9303001131140.479136936298133
0.5109.0173004388080.443650062790954
0.51109.0990271173670.422470109582573
0.52109.1778162487050.413882525189796
0.53109.2557004596560.415717774294333
0.54109.3343725577810.425662573674474
0.55109.4151741151040.441701208472423
0.56109.4991041989950.461785988891227
0.57109.5868444066620.484088895842492
0.58109.6787976112550.507120447694129
0.59109.7751386024030.529739759758535
0.6109.8758744285370.551243217694945
0.61109.9809104422410.571026904126959
0.62110.090115147690.589004483617834
0.63110.203373949550.605731229804946
0.64110.320620264380.621715424244428
0.65110.4418336515220.637482656874206
0.66110.5669995590190.653367839764444
0.67110.6960337845340.668967361311203
0.68110.8286853022610.683312163682834
0.69110.9644409988070.694647871269163
0.7111.1024618016440.700994450181703
0.71111.2415787290450.700154307143136
0.72111.3803679792620.690735222790289
0.73111.5173069648460.672093769520708
0.74111.6509913957050.64516479606155
0.75111.7803725168330.612124050996417
0.76111.9049598572430.576469158246495
0.77112.0249340722330.54222029312026
0.78112.1411296375310.513496897853645
0.79112.2548767666110.493032085833011
0.8112.3677292210010.48170671912269
0.81112.4811386015760.477973720844469
0.82112.59615382480.478579678234424
0.83112.7132177203620.479487528697204
0.84112.832100389130.477191265822125
0.85112.9519620074650.469178164696368
0.86113.0714968358190.45444549983749
0.87113.1890976973390.433058962012307
0.88113.3030075924150.405342820256316
0.89113.4114817113340.371732947433262
0.9113.513034702060.332998294523417
0.91113.6068499665120.290902661766146
0.92113.6933459078440.249172169300202
0.93113.7747185865730.213731761374845
0.94113.8550295442950.19191540215191
0.95113.9391679310540.188128400150243
0.96114.0300839377730.196527698999154
0.97114.1246917461440.196352156191095
0.98114.2112071161470.160096731708748
0.99114.2728569766380.0800555500372961

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 96.6511646774108 & 0.686944007641064 \tabularnewline
0.02 & 97.1050278588829 & 0.961987045563631 \tabularnewline
0.03 & 97.6605103240062 & 1.11815106780723 \tabularnewline
0.04 & 98.224109651701 & 1.1187555187244 \tabularnewline
0.05 & 98.737928564214 & 1.02614463839456 \tabularnewline
0.06 & 99.1789727206938 & 0.909611376596729 \tabularnewline
0.07 & 99.5483810826717 & 0.810943267411863 \tabularnewline
0.08 & 99.8592233306462 & 0.744387195956052 \tabularnewline
0.09 & 100.127291729738 & 0.707470547606507 \tabularnewline
0.1 & 100.366124653098 & 0.69063632759807 \tabularnewline
0.11 & 100.585395038861 & 0.684058248465665 \tabularnewline
0.12 & 100.791213784106 & 0.681054697608984 \tabularnewline
0.13 & 100.987195344532 & 0.678631574422088 \tabularnewline
0.14 & 101.175600825741 & 0.677423097580152 \tabularnewline
0.15 & 101.35822532672 & 0.680084432823043 \tabularnewline
0.16 & 101.536919552313 & 0.689709324976293 \tabularnewline
0.17 & 101.713775065696 & 0.708180511180842 \tabularnewline
0.18 & 101.891077641792 & 0.736394035915515 \tabularnewline
0.19 & 102.071150144617 & 0.774230476798285 \tabularnewline
0.2 & 102.256180242941 & 0.820785974389908 \tabularnewline
0.21 & 102.448084682497 & 0.874979872893123 \tabularnewline
0.22 & 102.648424457513 & 0.934922397166904 \tabularnewline
0.23 & 102.858365404474 & 0.999270767984032 \tabularnewline
0.24 & 103.078674485969 & 1.06576748013495 \tabularnewline
0.25 & 103.309744441831 & 1.13301120725995 \tabularnewline
0.26 & 103.551640438162 & 1.19939978851656 \tabularnewline
0.27 & 103.804158899606 & 1.26393343790886 \tabularnewline
0.28 & 104.06688312672 & 1.32597474571336 \tabularnewline
0.29 & 104.339217222706 & 1.38501707057222 \tabularnewline
0.3 & 104.620382978405 & 1.44040267060706 \tabularnewline
0.31 & 104.909374335484 & 1.49074797735506 \tabularnewline
0.32 & 105.204878206648 & 1.53423227436569 \tabularnewline
0.33 & 105.505184085818 & 1.56794946745884 \tabularnewline
0.34 & 105.80811326096 & 1.58861728010524 \tabularnewline
0.35 & 106.110998477544 & 1.59311805108148 \tabularnewline
0.36 & 106.410736212086 & 1.57880847497456 \tabularnewline
0.37 & 106.703918602822 & 1.54377311907195 \tabularnewline
0.38 & 106.987034652697 & 1.48798344319653 \tabularnewline
0.39 & 107.25671512774 & 1.41263447449525 \tabularnewline
0.4 & 107.509986283811 & 1.32075402009828 \tabularnewline
0.41 & 107.744495992836 & 1.21628122933737 \tabularnewline
0.42 & 107.958681701156 & 1.1041539140201 \tabularnewline
0.43 & 108.151860855386 & 0.989531555188793 \tabularnewline
0.44 & 108.324237921046 & 0.877343082620605 \tabularnewline
0.45 & 108.47683481293 & 0.772280378620877 \tabularnewline
0.46 & 108.611361118273 & 0.67764139126477 \tabularnewline
0.47 & 108.730045747376 & 0.596352390272213 \tabularnewline
0.48 & 108.835452577632 & 0.529967721508822 \tabularnewline
0.49 & 108.930300113114 & 0.479136936298133 \tabularnewline
0.5 & 109.017300438808 & 0.443650062790954 \tabularnewline
0.51 & 109.099027117367 & 0.422470109582573 \tabularnewline
0.52 & 109.177816248705 & 0.413882525189796 \tabularnewline
0.53 & 109.255700459656 & 0.415717774294333 \tabularnewline
0.54 & 109.334372557781 & 0.425662573674474 \tabularnewline
0.55 & 109.415174115104 & 0.441701208472423 \tabularnewline
0.56 & 109.499104198995 & 0.461785988891227 \tabularnewline
0.57 & 109.586844406662 & 0.484088895842492 \tabularnewline
0.58 & 109.678797611255 & 0.507120447694129 \tabularnewline
0.59 & 109.775138602403 & 0.529739759758535 \tabularnewline
0.6 & 109.875874428537 & 0.551243217694945 \tabularnewline
0.61 & 109.980910442241 & 0.571026904126959 \tabularnewline
0.62 & 110.09011514769 & 0.589004483617834 \tabularnewline
0.63 & 110.20337394955 & 0.605731229804946 \tabularnewline
0.64 & 110.32062026438 & 0.621715424244428 \tabularnewline
0.65 & 110.441833651522 & 0.637482656874206 \tabularnewline
0.66 & 110.566999559019 & 0.653367839764444 \tabularnewline
0.67 & 110.696033784534 & 0.668967361311203 \tabularnewline
0.68 & 110.828685302261 & 0.683312163682834 \tabularnewline
0.69 & 110.964440998807 & 0.694647871269163 \tabularnewline
0.7 & 111.102461801644 & 0.700994450181703 \tabularnewline
0.71 & 111.241578729045 & 0.700154307143136 \tabularnewline
0.72 & 111.380367979262 & 0.690735222790289 \tabularnewline
0.73 & 111.517306964846 & 0.672093769520708 \tabularnewline
0.74 & 111.650991395705 & 0.64516479606155 \tabularnewline
0.75 & 111.780372516833 & 0.612124050996417 \tabularnewline
0.76 & 111.904959857243 & 0.576469158246495 \tabularnewline
0.77 & 112.024934072233 & 0.54222029312026 \tabularnewline
0.78 & 112.141129637531 & 0.513496897853645 \tabularnewline
0.79 & 112.254876766611 & 0.493032085833011 \tabularnewline
0.8 & 112.367729221001 & 0.48170671912269 \tabularnewline
0.81 & 112.481138601576 & 0.477973720844469 \tabularnewline
0.82 & 112.5961538248 & 0.478579678234424 \tabularnewline
0.83 & 112.713217720362 & 0.479487528697204 \tabularnewline
0.84 & 112.83210038913 & 0.477191265822125 \tabularnewline
0.85 & 112.951962007465 & 0.469178164696368 \tabularnewline
0.86 & 113.071496835819 & 0.45444549983749 \tabularnewline
0.87 & 113.189097697339 & 0.433058962012307 \tabularnewline
0.88 & 113.303007592415 & 0.405342820256316 \tabularnewline
0.89 & 113.411481711334 & 0.371732947433262 \tabularnewline
0.9 & 113.51303470206 & 0.332998294523417 \tabularnewline
0.91 & 113.606849966512 & 0.290902661766146 \tabularnewline
0.92 & 113.693345907844 & 0.249172169300202 \tabularnewline
0.93 & 113.774718586573 & 0.213731761374845 \tabularnewline
0.94 & 113.855029544295 & 0.19191540215191 \tabularnewline
0.95 & 113.939167931054 & 0.188128400150243 \tabularnewline
0.96 & 114.030083937773 & 0.196527698999154 \tabularnewline
0.97 & 114.124691746144 & 0.196352156191095 \tabularnewline
0.98 & 114.211207116147 & 0.160096731708748 \tabularnewline
0.99 & 114.272856976638 & 0.0800555500372961 \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]96.6511646774108[/C][C]0.686944007641064[/C][/ROW]
[ROW][C]0.02[/C][C]97.1050278588829[/C][C]0.961987045563631[/C][/ROW]
[ROW][C]0.03[/C][C]97.6605103240062[/C][C]1.11815106780723[/C][/ROW]
[ROW][C]0.04[/C][C]98.224109651701[/C][C]1.1187555187244[/C][/ROW]
[ROW][C]0.05[/C][C]98.737928564214[/C][C]1.02614463839456[/C][/ROW]
[ROW][C]0.06[/C][C]99.1789727206938[/C][C]0.909611376596729[/C][/ROW]
[ROW][C]0.07[/C][C]99.5483810826717[/C][C]0.810943267411863[/C][/ROW]
[ROW][C]0.08[/C][C]99.8592233306462[/C][C]0.744387195956052[/C][/ROW]
[ROW][C]0.09[/C][C]100.127291729738[/C][C]0.707470547606507[/C][/ROW]
[ROW][C]0.1[/C][C]100.366124653098[/C][C]0.69063632759807[/C][/ROW]
[ROW][C]0.11[/C][C]100.585395038861[/C][C]0.684058248465665[/C][/ROW]
[ROW][C]0.12[/C][C]100.791213784106[/C][C]0.681054697608984[/C][/ROW]
[ROW][C]0.13[/C][C]100.987195344532[/C][C]0.678631574422088[/C][/ROW]
[ROW][C]0.14[/C][C]101.175600825741[/C][C]0.677423097580152[/C][/ROW]
[ROW][C]0.15[/C][C]101.35822532672[/C][C]0.680084432823043[/C][/ROW]
[ROW][C]0.16[/C][C]101.536919552313[/C][C]0.689709324976293[/C][/ROW]
[ROW][C]0.17[/C][C]101.713775065696[/C][C]0.708180511180842[/C][/ROW]
[ROW][C]0.18[/C][C]101.891077641792[/C][C]0.736394035915515[/C][/ROW]
[ROW][C]0.19[/C][C]102.071150144617[/C][C]0.774230476798285[/C][/ROW]
[ROW][C]0.2[/C][C]102.256180242941[/C][C]0.820785974389908[/C][/ROW]
[ROW][C]0.21[/C][C]102.448084682497[/C][C]0.874979872893123[/C][/ROW]
[ROW][C]0.22[/C][C]102.648424457513[/C][C]0.934922397166904[/C][/ROW]
[ROW][C]0.23[/C][C]102.858365404474[/C][C]0.999270767984032[/C][/ROW]
[ROW][C]0.24[/C][C]103.078674485969[/C][C]1.06576748013495[/C][/ROW]
[ROW][C]0.25[/C][C]103.309744441831[/C][C]1.13301120725995[/C][/ROW]
[ROW][C]0.26[/C][C]103.551640438162[/C][C]1.19939978851656[/C][/ROW]
[ROW][C]0.27[/C][C]103.804158899606[/C][C]1.26393343790886[/C][/ROW]
[ROW][C]0.28[/C][C]104.06688312672[/C][C]1.32597474571336[/C][/ROW]
[ROW][C]0.29[/C][C]104.339217222706[/C][C]1.38501707057222[/C][/ROW]
[ROW][C]0.3[/C][C]104.620382978405[/C][C]1.44040267060706[/C][/ROW]
[ROW][C]0.31[/C][C]104.909374335484[/C][C]1.49074797735506[/C][/ROW]
[ROW][C]0.32[/C][C]105.204878206648[/C][C]1.53423227436569[/C][/ROW]
[ROW][C]0.33[/C][C]105.505184085818[/C][C]1.56794946745884[/C][/ROW]
[ROW][C]0.34[/C][C]105.80811326096[/C][C]1.58861728010524[/C][/ROW]
[ROW][C]0.35[/C][C]106.110998477544[/C][C]1.59311805108148[/C][/ROW]
[ROW][C]0.36[/C][C]106.410736212086[/C][C]1.57880847497456[/C][/ROW]
[ROW][C]0.37[/C][C]106.703918602822[/C][C]1.54377311907195[/C][/ROW]
[ROW][C]0.38[/C][C]106.987034652697[/C][C]1.48798344319653[/C][/ROW]
[ROW][C]0.39[/C][C]107.25671512774[/C][C]1.41263447449525[/C][/ROW]
[ROW][C]0.4[/C][C]107.509986283811[/C][C]1.32075402009828[/C][/ROW]
[ROW][C]0.41[/C][C]107.744495992836[/C][C]1.21628122933737[/C][/ROW]
[ROW][C]0.42[/C][C]107.958681701156[/C][C]1.1041539140201[/C][/ROW]
[ROW][C]0.43[/C][C]108.151860855386[/C][C]0.989531555188793[/C][/ROW]
[ROW][C]0.44[/C][C]108.324237921046[/C][C]0.877343082620605[/C][/ROW]
[ROW][C]0.45[/C][C]108.47683481293[/C][C]0.772280378620877[/C][/ROW]
[ROW][C]0.46[/C][C]108.611361118273[/C][C]0.67764139126477[/C][/ROW]
[ROW][C]0.47[/C][C]108.730045747376[/C][C]0.596352390272213[/C][/ROW]
[ROW][C]0.48[/C][C]108.835452577632[/C][C]0.529967721508822[/C][/ROW]
[ROW][C]0.49[/C][C]108.930300113114[/C][C]0.479136936298133[/C][/ROW]
[ROW][C]0.5[/C][C]109.017300438808[/C][C]0.443650062790954[/C][/ROW]
[ROW][C]0.51[/C][C]109.099027117367[/C][C]0.422470109582573[/C][/ROW]
[ROW][C]0.52[/C][C]109.177816248705[/C][C]0.413882525189796[/C][/ROW]
[ROW][C]0.53[/C][C]109.255700459656[/C][C]0.415717774294333[/C][/ROW]
[ROW][C]0.54[/C][C]109.334372557781[/C][C]0.425662573674474[/C][/ROW]
[ROW][C]0.55[/C][C]109.415174115104[/C][C]0.441701208472423[/C][/ROW]
[ROW][C]0.56[/C][C]109.499104198995[/C][C]0.461785988891227[/C][/ROW]
[ROW][C]0.57[/C][C]109.586844406662[/C][C]0.484088895842492[/C][/ROW]
[ROW][C]0.58[/C][C]109.678797611255[/C][C]0.507120447694129[/C][/ROW]
[ROW][C]0.59[/C][C]109.775138602403[/C][C]0.529739759758535[/C][/ROW]
[ROW][C]0.6[/C][C]109.875874428537[/C][C]0.551243217694945[/C][/ROW]
[ROW][C]0.61[/C][C]109.980910442241[/C][C]0.571026904126959[/C][/ROW]
[ROW][C]0.62[/C][C]110.09011514769[/C][C]0.589004483617834[/C][/ROW]
[ROW][C]0.63[/C][C]110.20337394955[/C][C]0.605731229804946[/C][/ROW]
[ROW][C]0.64[/C][C]110.32062026438[/C][C]0.621715424244428[/C][/ROW]
[ROW][C]0.65[/C][C]110.441833651522[/C][C]0.637482656874206[/C][/ROW]
[ROW][C]0.66[/C][C]110.566999559019[/C][C]0.653367839764444[/C][/ROW]
[ROW][C]0.67[/C][C]110.696033784534[/C][C]0.668967361311203[/C][/ROW]
[ROW][C]0.68[/C][C]110.828685302261[/C][C]0.683312163682834[/C][/ROW]
[ROW][C]0.69[/C][C]110.964440998807[/C][C]0.694647871269163[/C][/ROW]
[ROW][C]0.7[/C][C]111.102461801644[/C][C]0.700994450181703[/C][/ROW]
[ROW][C]0.71[/C][C]111.241578729045[/C][C]0.700154307143136[/C][/ROW]
[ROW][C]0.72[/C][C]111.380367979262[/C][C]0.690735222790289[/C][/ROW]
[ROW][C]0.73[/C][C]111.517306964846[/C][C]0.672093769520708[/C][/ROW]
[ROW][C]0.74[/C][C]111.650991395705[/C][C]0.64516479606155[/C][/ROW]
[ROW][C]0.75[/C][C]111.780372516833[/C][C]0.612124050996417[/C][/ROW]
[ROW][C]0.76[/C][C]111.904959857243[/C][C]0.576469158246495[/C][/ROW]
[ROW][C]0.77[/C][C]112.024934072233[/C][C]0.54222029312026[/C][/ROW]
[ROW][C]0.78[/C][C]112.141129637531[/C][C]0.513496897853645[/C][/ROW]
[ROW][C]0.79[/C][C]112.254876766611[/C][C]0.493032085833011[/C][/ROW]
[ROW][C]0.8[/C][C]112.367729221001[/C][C]0.48170671912269[/C][/ROW]
[ROW][C]0.81[/C][C]112.481138601576[/C][C]0.477973720844469[/C][/ROW]
[ROW][C]0.82[/C][C]112.5961538248[/C][C]0.478579678234424[/C][/ROW]
[ROW][C]0.83[/C][C]112.713217720362[/C][C]0.479487528697204[/C][/ROW]
[ROW][C]0.84[/C][C]112.83210038913[/C][C]0.477191265822125[/C][/ROW]
[ROW][C]0.85[/C][C]112.951962007465[/C][C]0.469178164696368[/C][/ROW]
[ROW][C]0.86[/C][C]113.071496835819[/C][C]0.45444549983749[/C][/ROW]
[ROW][C]0.87[/C][C]113.189097697339[/C][C]0.433058962012307[/C][/ROW]
[ROW][C]0.88[/C][C]113.303007592415[/C][C]0.405342820256316[/C][/ROW]
[ROW][C]0.89[/C][C]113.411481711334[/C][C]0.371732947433262[/C][/ROW]
[ROW][C]0.9[/C][C]113.51303470206[/C][C]0.332998294523417[/C][/ROW]
[ROW][C]0.91[/C][C]113.606849966512[/C][C]0.290902661766146[/C][/ROW]
[ROW][C]0.92[/C][C]113.693345907844[/C][C]0.249172169300202[/C][/ROW]
[ROW][C]0.93[/C][C]113.774718586573[/C][C]0.213731761374845[/C][/ROW]
[ROW][C]0.94[/C][C]113.855029544295[/C][C]0.19191540215191[/C][/ROW]
[ROW][C]0.95[/C][C]113.939167931054[/C][C]0.188128400150243[/C][/ROW]
[ROW][C]0.96[/C][C]114.030083937773[/C][C]0.196527698999154[/C][/ROW]
[ROW][C]0.97[/C][C]114.124691746144[/C][C]0.196352156191095[/C][/ROW]
[ROW][C]0.98[/C][C]114.211207116147[/C][C]0.160096731708748[/C][/ROW]
[ROW][C]0.99[/C][C]114.272856976638[/C][C]0.0800555500372961[/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
0.0196.65116467741080.686944007641064
0.0297.10502785888290.961987045563631
0.0397.66051032400621.11815106780723
0.0498.2241096517011.1187555187244
0.0598.7379285642141.02614463839456
0.0699.17897272069380.909611376596729
0.0799.54838108267170.810943267411863
0.0899.85922333064620.744387195956052
0.09100.1272917297380.707470547606507
0.1100.3661246530980.69063632759807
0.11100.5853950388610.684058248465665
0.12100.7912137841060.681054697608984
0.13100.9871953445320.678631574422088
0.14101.1756008257410.677423097580152
0.15101.358225326720.680084432823043
0.16101.5369195523130.689709324976293
0.17101.7137750656960.708180511180842
0.18101.8910776417920.736394035915515
0.19102.0711501446170.774230476798285
0.2102.2561802429410.820785974389908
0.21102.4480846824970.874979872893123
0.22102.6484244575130.934922397166904
0.23102.8583654044740.999270767984032
0.24103.0786744859691.06576748013495
0.25103.3097444418311.13301120725995
0.26103.5516404381621.19939978851656
0.27103.8041588996061.26393343790886
0.28104.066883126721.32597474571336
0.29104.3392172227061.38501707057222
0.3104.6203829784051.44040267060706
0.31104.9093743354841.49074797735506
0.32105.2048782066481.53423227436569
0.33105.5051840858181.56794946745884
0.34105.808113260961.58861728010524
0.35106.1109984775441.59311805108148
0.36106.4107362120861.57880847497456
0.37106.7039186028221.54377311907195
0.38106.9870346526971.48798344319653
0.39107.256715127741.41263447449525
0.4107.5099862838111.32075402009828
0.41107.7444959928361.21628122933737
0.42107.9586817011561.1041539140201
0.43108.1518608553860.989531555188793
0.44108.3242379210460.877343082620605
0.45108.476834812930.772280378620877
0.46108.6113611182730.67764139126477
0.47108.7300457473760.596352390272213
0.48108.8354525776320.529967721508822
0.49108.9303001131140.479136936298133
0.5109.0173004388080.443650062790954
0.51109.0990271173670.422470109582573
0.52109.1778162487050.413882525189796
0.53109.2557004596560.415717774294333
0.54109.3343725577810.425662573674474
0.55109.4151741151040.441701208472423
0.56109.4991041989950.461785988891227
0.57109.5868444066620.484088895842492
0.58109.6787976112550.507120447694129
0.59109.7751386024030.529739759758535
0.6109.8758744285370.551243217694945
0.61109.9809104422410.571026904126959
0.62110.090115147690.589004483617834
0.63110.203373949550.605731229804946
0.64110.320620264380.621715424244428
0.65110.4418336515220.637482656874206
0.66110.5669995590190.653367839764444
0.67110.6960337845340.668967361311203
0.68110.8286853022610.683312163682834
0.69110.9644409988070.694647871269163
0.7111.1024618016440.700994450181703
0.71111.2415787290450.700154307143136
0.72111.3803679792620.690735222790289
0.73111.5173069648460.672093769520708
0.74111.6509913957050.64516479606155
0.75111.7803725168330.612124050996417
0.76111.9049598572430.576469158246495
0.77112.0249340722330.54222029312026
0.78112.1411296375310.513496897853645
0.79112.2548767666110.493032085833011
0.8112.3677292210010.48170671912269
0.81112.4811386015760.477973720844469
0.82112.59615382480.478579678234424
0.83112.7132177203620.479487528697204
0.84112.832100389130.477191265822125
0.85112.9519620074650.469178164696368
0.86113.0714968358190.45444549983749
0.87113.1890976973390.433058962012307
0.88113.3030075924150.405342820256316
0.89113.4114817113340.371732947433262
0.9113.513034702060.332998294523417
0.91113.6068499665120.290902661766146
0.92113.6933459078440.249172169300202
0.93113.7747185865730.213731761374845
0.94113.8550295442950.19191540215191
0.95113.9391679310540.188128400150243
0.96114.0300839377730.196527698999154
0.97114.1246917461440.196352156191095
0.98114.2112071161470.160096731708748
0.99114.2728569766380.0800555500372961


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 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')