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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 computationThu, 06 Oct 2016 21:50:41 +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/2016/Oct/06/t14757871517o78j5tw2p205gz.htm/, Retrieved Tue, 21 May 2024 11:10:01 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 21 May 2024 11:10:01 +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 
85
93.96
87.38
85.78
88.17
90.32
90.63
89.19
88.49
88.03
85.96
81.14
90.38
92.65
94.01
87.48
88.74
91.83
91.35
90.49
90.77
90.37
92.77
92.3
94.46
99.2
99.21
94.09
96.74
101.26
100.79
100.96
97.54
97.46
98.07
98.73
96.94
100.44
106.19
94.62
98.18
103.34
100.48
100.38
98.61
98.15
100.64
102.04
102.89
102.14
104.81
103.3
102.55
102.04
100.82
101.02
102.69
103.41
102.31
102.8
102.57
104.28
96.59
102.03
102.33
102.05
100.86
102.05
101.94
101.7
102.56
102.27

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.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 time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0182.17945452971773.03975674952555
0.0283.55593732475082.09568764970605
0.0384.73929413574981.42958881577603
0.0485.59795803283071.13095507805195
0.0586.21572753218281.04247746114056
0.0686.69672003249161.00647743939715
0.0787.10252814157240.96512527546894
0.0887.46073275579170.920504359607665
0.0987.78447361433960.890327198744358
0.188.0831972213120.885120278416478
0.1188.36530118998580.902201574212812
0.1288.63739826790660.930258728978528
0.1388.90333984681990.955868565360545
0.1489.1641528671150.969558276252418
0.1589.41887965012050.96736368478029
0.1689.66586196199280.951977649357423
0.1789.90396971053780.930975071973631
0.1890.13341972124970.914240229573753
0.1990.35603524322860.911465960155169
0.290.57498851201940.928569506025325
0.2190.79420111996020.966844992518691
0.2291.01762940879721.02325319795701
0.2391.24863984065491.09165643289915
0.2491.4896075120841.165763292718
0.2591.74178255720441.24006883836916
0.2692.00539246363271.31037260132646
0.2792.27989980149941.37484582178439
0.2892.5643183037321.43273063616361
0.2992.85750016310721.48494064398474
0.393.15833407187841.53254003245126
0.3193.46582694031821.57660372278402
0.3293.77907438094351.6174551526911
0.3394.09715045818151.65442196154659
0.3494.41896264929131.68544815669354
0.3594.74312207470521.70774064495987
0.3695.06787218667861.71875236409462
0.3795.39110333271781.71566295590195
0.3895.71045958658431.69701983401159
0.3996.02352262562341.66272082517319
0.496.32803992300891.61455283304243
0.4196.62215472745511.55553118570293
0.4296.90459488194631.4899557460672
0.4397.17478590201511.42242043091886
0.4497.43286841832151.35755431155105
0.4597.67961756065711.2991470162378
0.4697.91627852777941.24977693122909
0.4798.14434559195041.21030350264781
0.4898.36531942440031.17989872069931
0.4998.5804793680541.15654661561343
0.598.79070352843021.13707331026051
0.5198.9963613155981.11762460408829
0.5299.19729171591451.0948910352401
0.5399.3928676719861.0659128356456
0.5499.58213419215651.02947540273975
0.5599.76399690746460.984837476685339
0.5699.93743030891260.93327547312977
0.57100.1016720155570.876884299295022
0.58100.2563717088450.818546812709871
0.59100.4016706035080.761667012796878
0.6100.5381984915430.709630877575231
0.61100.6669888108960.66500395232656
0.62100.7893257668590.629346852739371
0.63100.9065490971550.602612061327577
0.64101.0198496772330.583336883949229
0.65101.130091385220.568940177361338
0.66101.2376908235590.556193078527013
0.67101.3425769166560.541773485687132
0.68101.4442384088730.523144579865187
0.69101.5418511972880.498712023752534
0.7101.634462260370.468050416175178
0.71101.7211958444090.432077348608727
0.72101.8014431252150.392805980687065
0.73101.8750000585640.352716765489626
0.74101.9421290792690.314712007028302
0.75102.0035364139870.281500959432992
0.76102.0602744497440.254777764536417
0.77102.113593891380.235614139880605
0.78102.1647800675780.223559294579467
0.79102.2150099044460.217410408205748
0.8102.2652607108860.215383769700562
0.81102.3162903461360.21565343172881
0.82102.3686926230190.217154065196532
0.83102.4230141671410.219408499060179
0.84102.4799018961470.222872554272151
0.85102.5402375827240.228702481014712
0.86102.6052142574270.238367417537826
0.87102.6763285623180.252800963561783
0.88102.7553134912790.272121605329549
0.89102.8441154268880.295123436430066
0.9102.9450953450980.320426612982285
0.91103.0616311952040.34822862771224
0.92103.1991323546440.382968439064946
0.93103.3661745108350.433446534289691
0.94103.5753129977810.507447492123726
0.95103.8435068872250.602061985687874
0.96104.1922553504680.703969353366871
0.97104.6438623973390.810348249402192
0.98105.1993185299680.955363585888757
0.99105.7814753571441.16842057047245

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 82.1794545297177 & 3.03975674952555 \tabularnewline
0.02 & 83.5559373247508 & 2.09568764970605 \tabularnewline
0.03 & 84.7392941357498 & 1.42958881577603 \tabularnewline
0.04 & 85.5979580328307 & 1.13095507805195 \tabularnewline
0.05 & 86.2157275321828 & 1.04247746114056 \tabularnewline
0.06 & 86.6967200324916 & 1.00647743939715 \tabularnewline
0.07 & 87.1025281415724 & 0.96512527546894 \tabularnewline
0.08 & 87.4607327557917 & 0.920504359607665 \tabularnewline
0.09 & 87.7844736143396 & 0.890327198744358 \tabularnewline
0.1 & 88.083197221312 & 0.885120278416478 \tabularnewline
0.11 & 88.3653011899858 & 0.902201574212812 \tabularnewline
0.12 & 88.6373982679066 & 0.930258728978528 \tabularnewline
0.13 & 88.9033398468199 & 0.955868565360545 \tabularnewline
0.14 & 89.164152867115 & 0.969558276252418 \tabularnewline
0.15 & 89.4188796501205 & 0.96736368478029 \tabularnewline
0.16 & 89.6658619619928 & 0.951977649357423 \tabularnewline
0.17 & 89.9039697105378 & 0.930975071973631 \tabularnewline
0.18 & 90.1334197212497 & 0.914240229573753 \tabularnewline
0.19 & 90.3560352432286 & 0.911465960155169 \tabularnewline
0.2 & 90.5749885120194 & 0.928569506025325 \tabularnewline
0.21 & 90.7942011199602 & 0.966844992518691 \tabularnewline
0.22 & 91.0176294087972 & 1.02325319795701 \tabularnewline
0.23 & 91.2486398406549 & 1.09165643289915 \tabularnewline
0.24 & 91.489607512084 & 1.165763292718 \tabularnewline
0.25 & 91.7417825572044 & 1.24006883836916 \tabularnewline
0.26 & 92.0053924636327 & 1.31037260132646 \tabularnewline
0.27 & 92.2798998014994 & 1.37484582178439 \tabularnewline
0.28 & 92.564318303732 & 1.43273063616361 \tabularnewline
0.29 & 92.8575001631072 & 1.48494064398474 \tabularnewline
0.3 & 93.1583340718784 & 1.53254003245126 \tabularnewline
0.31 & 93.4658269403182 & 1.57660372278402 \tabularnewline
0.32 & 93.7790743809435 & 1.6174551526911 \tabularnewline
0.33 & 94.0971504581815 & 1.65442196154659 \tabularnewline
0.34 & 94.4189626492913 & 1.68544815669354 \tabularnewline
0.35 & 94.7431220747052 & 1.70774064495987 \tabularnewline
0.36 & 95.0678721866786 & 1.71875236409462 \tabularnewline
0.37 & 95.3911033327178 & 1.71566295590195 \tabularnewline
0.38 & 95.7104595865843 & 1.69701983401159 \tabularnewline
0.39 & 96.0235226256234 & 1.66272082517319 \tabularnewline
0.4 & 96.3280399230089 & 1.61455283304243 \tabularnewline
0.41 & 96.6221547274551 & 1.55553118570293 \tabularnewline
0.42 & 96.9045948819463 & 1.4899557460672 \tabularnewline
0.43 & 97.1747859020151 & 1.42242043091886 \tabularnewline
0.44 & 97.4328684183215 & 1.35755431155105 \tabularnewline
0.45 & 97.6796175606571 & 1.2991470162378 \tabularnewline
0.46 & 97.9162785277794 & 1.24977693122909 \tabularnewline
0.47 & 98.1443455919504 & 1.21030350264781 \tabularnewline
0.48 & 98.3653194244003 & 1.17989872069931 \tabularnewline
0.49 & 98.580479368054 & 1.15654661561343 \tabularnewline
0.5 & 98.7907035284302 & 1.13707331026051 \tabularnewline
0.51 & 98.996361315598 & 1.11762460408829 \tabularnewline
0.52 & 99.1972917159145 & 1.0948910352401 \tabularnewline
0.53 & 99.392867671986 & 1.0659128356456 \tabularnewline
0.54 & 99.5821341921565 & 1.02947540273975 \tabularnewline
0.55 & 99.7639969074646 & 0.984837476685339 \tabularnewline
0.56 & 99.9374303089126 & 0.93327547312977 \tabularnewline
0.57 & 100.101672015557 & 0.876884299295022 \tabularnewline
0.58 & 100.256371708845 & 0.818546812709871 \tabularnewline
0.59 & 100.401670603508 & 0.761667012796878 \tabularnewline
0.6 & 100.538198491543 & 0.709630877575231 \tabularnewline
0.61 & 100.666988810896 & 0.66500395232656 \tabularnewline
0.62 & 100.789325766859 & 0.629346852739371 \tabularnewline
0.63 & 100.906549097155 & 0.602612061327577 \tabularnewline
0.64 & 101.019849677233 & 0.583336883949229 \tabularnewline
0.65 & 101.13009138522 & 0.568940177361338 \tabularnewline
0.66 & 101.237690823559 & 0.556193078527013 \tabularnewline
0.67 & 101.342576916656 & 0.541773485687132 \tabularnewline
0.68 & 101.444238408873 & 0.523144579865187 \tabularnewline
0.69 & 101.541851197288 & 0.498712023752534 \tabularnewline
0.7 & 101.63446226037 & 0.468050416175178 \tabularnewline
0.71 & 101.721195844409 & 0.432077348608727 \tabularnewline
0.72 & 101.801443125215 & 0.392805980687065 \tabularnewline
0.73 & 101.875000058564 & 0.352716765489626 \tabularnewline
0.74 & 101.942129079269 & 0.314712007028302 \tabularnewline
0.75 & 102.003536413987 & 0.281500959432992 \tabularnewline
0.76 & 102.060274449744 & 0.254777764536417 \tabularnewline
0.77 & 102.11359389138 & 0.235614139880605 \tabularnewline
0.78 & 102.164780067578 & 0.223559294579467 \tabularnewline
0.79 & 102.215009904446 & 0.217410408205748 \tabularnewline
0.8 & 102.265260710886 & 0.215383769700562 \tabularnewline
0.81 & 102.316290346136 & 0.21565343172881 \tabularnewline
0.82 & 102.368692623019 & 0.217154065196532 \tabularnewline
0.83 & 102.423014167141 & 0.219408499060179 \tabularnewline
0.84 & 102.479901896147 & 0.222872554272151 \tabularnewline
0.85 & 102.540237582724 & 0.228702481014712 \tabularnewline
0.86 & 102.605214257427 & 0.238367417537826 \tabularnewline
0.87 & 102.676328562318 & 0.252800963561783 \tabularnewline
0.88 & 102.755313491279 & 0.272121605329549 \tabularnewline
0.89 & 102.844115426888 & 0.295123436430066 \tabularnewline
0.9 & 102.945095345098 & 0.320426612982285 \tabularnewline
0.91 & 103.061631195204 & 0.34822862771224 \tabularnewline
0.92 & 103.199132354644 & 0.382968439064946 \tabularnewline
0.93 & 103.366174510835 & 0.433446534289691 \tabularnewline
0.94 & 103.575312997781 & 0.507447492123726 \tabularnewline
0.95 & 103.843506887225 & 0.602061985687874 \tabularnewline
0.96 & 104.192255350468 & 0.703969353366871 \tabularnewline
0.97 & 104.643862397339 & 0.810348249402192 \tabularnewline
0.98 & 105.199318529968 & 0.955363585888757 \tabularnewline
0.99 & 105.781475357144 & 1.16842057047245 \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]82.1794545297177[/C][C]3.03975674952555[/C][/ROW]
[ROW][C]0.02[/C][C]83.5559373247508[/C][C]2.09568764970605[/C][/ROW]
[ROW][C]0.03[/C][C]84.7392941357498[/C][C]1.42958881577603[/C][/ROW]
[ROW][C]0.04[/C][C]85.5979580328307[/C][C]1.13095507805195[/C][/ROW]
[ROW][C]0.05[/C][C]86.2157275321828[/C][C]1.04247746114056[/C][/ROW]
[ROW][C]0.06[/C][C]86.6967200324916[/C][C]1.00647743939715[/C][/ROW]
[ROW][C]0.07[/C][C]87.1025281415724[/C][C]0.96512527546894[/C][/ROW]
[ROW][C]0.08[/C][C]87.4607327557917[/C][C]0.920504359607665[/C][/ROW]
[ROW][C]0.09[/C][C]87.7844736143396[/C][C]0.890327198744358[/C][/ROW]
[ROW][C]0.1[/C][C]88.083197221312[/C][C]0.885120278416478[/C][/ROW]
[ROW][C]0.11[/C][C]88.3653011899858[/C][C]0.902201574212812[/C][/ROW]
[ROW][C]0.12[/C][C]88.6373982679066[/C][C]0.930258728978528[/C][/ROW]
[ROW][C]0.13[/C][C]88.9033398468199[/C][C]0.955868565360545[/C][/ROW]
[ROW][C]0.14[/C][C]89.164152867115[/C][C]0.969558276252418[/C][/ROW]
[ROW][C]0.15[/C][C]89.4188796501205[/C][C]0.96736368478029[/C][/ROW]
[ROW][C]0.16[/C][C]89.6658619619928[/C][C]0.951977649357423[/C][/ROW]
[ROW][C]0.17[/C][C]89.9039697105378[/C][C]0.930975071973631[/C][/ROW]
[ROW][C]0.18[/C][C]90.1334197212497[/C][C]0.914240229573753[/C][/ROW]
[ROW][C]0.19[/C][C]90.3560352432286[/C][C]0.911465960155169[/C][/ROW]
[ROW][C]0.2[/C][C]90.5749885120194[/C][C]0.928569506025325[/C][/ROW]
[ROW][C]0.21[/C][C]90.7942011199602[/C][C]0.966844992518691[/C][/ROW]
[ROW][C]0.22[/C][C]91.0176294087972[/C][C]1.02325319795701[/C][/ROW]
[ROW][C]0.23[/C][C]91.2486398406549[/C][C]1.09165643289915[/C][/ROW]
[ROW][C]0.24[/C][C]91.489607512084[/C][C]1.165763292718[/C][/ROW]
[ROW][C]0.25[/C][C]91.7417825572044[/C][C]1.24006883836916[/C][/ROW]
[ROW][C]0.26[/C][C]92.0053924636327[/C][C]1.31037260132646[/C][/ROW]
[ROW][C]0.27[/C][C]92.2798998014994[/C][C]1.37484582178439[/C][/ROW]
[ROW][C]0.28[/C][C]92.564318303732[/C][C]1.43273063616361[/C][/ROW]
[ROW][C]0.29[/C][C]92.8575001631072[/C][C]1.48494064398474[/C][/ROW]
[ROW][C]0.3[/C][C]93.1583340718784[/C][C]1.53254003245126[/C][/ROW]
[ROW][C]0.31[/C][C]93.4658269403182[/C][C]1.57660372278402[/C][/ROW]
[ROW][C]0.32[/C][C]93.7790743809435[/C][C]1.6174551526911[/C][/ROW]
[ROW][C]0.33[/C][C]94.0971504581815[/C][C]1.65442196154659[/C][/ROW]
[ROW][C]0.34[/C][C]94.4189626492913[/C][C]1.68544815669354[/C][/ROW]
[ROW][C]0.35[/C][C]94.7431220747052[/C][C]1.70774064495987[/C][/ROW]
[ROW][C]0.36[/C][C]95.0678721866786[/C][C]1.71875236409462[/C][/ROW]
[ROW][C]0.37[/C][C]95.3911033327178[/C][C]1.71566295590195[/C][/ROW]
[ROW][C]0.38[/C][C]95.7104595865843[/C][C]1.69701983401159[/C][/ROW]
[ROW][C]0.39[/C][C]96.0235226256234[/C][C]1.66272082517319[/C][/ROW]
[ROW][C]0.4[/C][C]96.3280399230089[/C][C]1.61455283304243[/C][/ROW]
[ROW][C]0.41[/C][C]96.6221547274551[/C][C]1.55553118570293[/C][/ROW]
[ROW][C]0.42[/C][C]96.9045948819463[/C][C]1.4899557460672[/C][/ROW]
[ROW][C]0.43[/C][C]97.1747859020151[/C][C]1.42242043091886[/C][/ROW]
[ROW][C]0.44[/C][C]97.4328684183215[/C][C]1.35755431155105[/C][/ROW]
[ROW][C]0.45[/C][C]97.6796175606571[/C][C]1.2991470162378[/C][/ROW]
[ROW][C]0.46[/C][C]97.9162785277794[/C][C]1.24977693122909[/C][/ROW]
[ROW][C]0.47[/C][C]98.1443455919504[/C][C]1.21030350264781[/C][/ROW]
[ROW][C]0.48[/C][C]98.3653194244003[/C][C]1.17989872069931[/C][/ROW]
[ROW][C]0.49[/C][C]98.580479368054[/C][C]1.15654661561343[/C][/ROW]
[ROW][C]0.5[/C][C]98.7907035284302[/C][C]1.13707331026051[/C][/ROW]
[ROW][C]0.51[/C][C]98.996361315598[/C][C]1.11762460408829[/C][/ROW]
[ROW][C]0.52[/C][C]99.1972917159145[/C][C]1.0948910352401[/C][/ROW]
[ROW][C]0.53[/C][C]99.392867671986[/C][C]1.0659128356456[/C][/ROW]
[ROW][C]0.54[/C][C]99.5821341921565[/C][C]1.02947540273975[/C][/ROW]
[ROW][C]0.55[/C][C]99.7639969074646[/C][C]0.984837476685339[/C][/ROW]
[ROW][C]0.56[/C][C]99.9374303089126[/C][C]0.93327547312977[/C][/ROW]
[ROW][C]0.57[/C][C]100.101672015557[/C][C]0.876884299295022[/C][/ROW]
[ROW][C]0.58[/C][C]100.256371708845[/C][C]0.818546812709871[/C][/ROW]
[ROW][C]0.59[/C][C]100.401670603508[/C][C]0.761667012796878[/C][/ROW]
[ROW][C]0.6[/C][C]100.538198491543[/C][C]0.709630877575231[/C][/ROW]
[ROW][C]0.61[/C][C]100.666988810896[/C][C]0.66500395232656[/C][/ROW]
[ROW][C]0.62[/C][C]100.789325766859[/C][C]0.629346852739371[/C][/ROW]
[ROW][C]0.63[/C][C]100.906549097155[/C][C]0.602612061327577[/C][/ROW]
[ROW][C]0.64[/C][C]101.019849677233[/C][C]0.583336883949229[/C][/ROW]
[ROW][C]0.65[/C][C]101.13009138522[/C][C]0.568940177361338[/C][/ROW]
[ROW][C]0.66[/C][C]101.237690823559[/C][C]0.556193078527013[/C][/ROW]
[ROW][C]0.67[/C][C]101.342576916656[/C][C]0.541773485687132[/C][/ROW]
[ROW][C]0.68[/C][C]101.444238408873[/C][C]0.523144579865187[/C][/ROW]
[ROW][C]0.69[/C][C]101.541851197288[/C][C]0.498712023752534[/C][/ROW]
[ROW][C]0.7[/C][C]101.63446226037[/C][C]0.468050416175178[/C][/ROW]
[ROW][C]0.71[/C][C]101.721195844409[/C][C]0.432077348608727[/C][/ROW]
[ROW][C]0.72[/C][C]101.801443125215[/C][C]0.392805980687065[/C][/ROW]
[ROW][C]0.73[/C][C]101.875000058564[/C][C]0.352716765489626[/C][/ROW]
[ROW][C]0.74[/C][C]101.942129079269[/C][C]0.314712007028302[/C][/ROW]
[ROW][C]0.75[/C][C]102.003536413987[/C][C]0.281500959432992[/C][/ROW]
[ROW][C]0.76[/C][C]102.060274449744[/C][C]0.254777764536417[/C][/ROW]
[ROW][C]0.77[/C][C]102.11359389138[/C][C]0.235614139880605[/C][/ROW]
[ROW][C]0.78[/C][C]102.164780067578[/C][C]0.223559294579467[/C][/ROW]
[ROW][C]0.79[/C][C]102.215009904446[/C][C]0.217410408205748[/C][/ROW]
[ROW][C]0.8[/C][C]102.265260710886[/C][C]0.215383769700562[/C][/ROW]
[ROW][C]0.81[/C][C]102.316290346136[/C][C]0.21565343172881[/C][/ROW]
[ROW][C]0.82[/C][C]102.368692623019[/C][C]0.217154065196532[/C][/ROW]
[ROW][C]0.83[/C][C]102.423014167141[/C][C]0.219408499060179[/C][/ROW]
[ROW][C]0.84[/C][C]102.479901896147[/C][C]0.222872554272151[/C][/ROW]
[ROW][C]0.85[/C][C]102.540237582724[/C][C]0.228702481014712[/C][/ROW]
[ROW][C]0.86[/C][C]102.605214257427[/C][C]0.238367417537826[/C][/ROW]
[ROW][C]0.87[/C][C]102.676328562318[/C][C]0.252800963561783[/C][/ROW]
[ROW][C]0.88[/C][C]102.755313491279[/C][C]0.272121605329549[/C][/ROW]
[ROW][C]0.89[/C][C]102.844115426888[/C][C]0.295123436430066[/C][/ROW]
[ROW][C]0.9[/C][C]102.945095345098[/C][C]0.320426612982285[/C][/ROW]
[ROW][C]0.91[/C][C]103.061631195204[/C][C]0.34822862771224[/C][/ROW]
[ROW][C]0.92[/C][C]103.199132354644[/C][C]0.382968439064946[/C][/ROW]
[ROW][C]0.93[/C][C]103.366174510835[/C][C]0.433446534289691[/C][/ROW]
[ROW][C]0.94[/C][C]103.575312997781[/C][C]0.507447492123726[/C][/ROW]
[ROW][C]0.95[/C][C]103.843506887225[/C][C]0.602061985687874[/C][/ROW]
[ROW][C]0.96[/C][C]104.192255350468[/C][C]0.703969353366871[/C][/ROW]
[ROW][C]0.97[/C][C]104.643862397339[/C][C]0.810348249402192[/C][/ROW]
[ROW][C]0.98[/C][C]105.199318529968[/C][C]0.955363585888757[/C][/ROW]
[ROW][C]0.99[/C][C]105.781475357144[/C][C]1.16842057047245[/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
0.0182.17945452971773.03975674952555
0.0283.55593732475082.09568764970605
0.0384.73929413574981.42958881577603
0.0485.59795803283071.13095507805195
0.0586.21572753218281.04247746114056
0.0686.69672003249161.00647743939715
0.0787.10252814157240.96512527546894
0.0887.46073275579170.920504359607665
0.0987.78447361433960.890327198744358
0.188.0831972213120.885120278416478
0.1188.36530118998580.902201574212812
0.1288.63739826790660.930258728978528
0.1388.90333984681990.955868565360545
0.1489.1641528671150.969558276252418
0.1589.41887965012050.96736368478029
0.1689.66586196199280.951977649357423
0.1789.90396971053780.930975071973631
0.1890.13341972124970.914240229573753
0.1990.35603524322860.911465960155169
0.290.57498851201940.928569506025325
0.2190.79420111996020.966844992518691
0.2291.01762940879721.02325319795701
0.2391.24863984065491.09165643289915
0.2491.4896075120841.165763292718
0.2591.74178255720441.24006883836916
0.2692.00539246363271.31037260132646
0.2792.27989980149941.37484582178439
0.2892.5643183037321.43273063616361
0.2992.85750016310721.48494064398474
0.393.15833407187841.53254003245126
0.3193.46582694031821.57660372278402
0.3293.77907438094351.6174551526911
0.3394.09715045818151.65442196154659
0.3494.41896264929131.68544815669354
0.3594.74312207470521.70774064495987
0.3695.06787218667861.71875236409462
0.3795.39110333271781.71566295590195
0.3895.71045958658431.69701983401159
0.3996.02352262562341.66272082517319
0.496.32803992300891.61455283304243
0.4196.62215472745511.55553118570293
0.4296.90459488194631.4899557460672
0.4397.17478590201511.42242043091886
0.4497.43286841832151.35755431155105
0.4597.67961756065711.2991470162378
0.4697.91627852777941.24977693122909
0.4798.14434559195041.21030350264781
0.4898.36531942440031.17989872069931
0.4998.5804793680541.15654661561343
0.598.79070352843021.13707331026051
0.5198.9963613155981.11762460408829
0.5299.19729171591451.0948910352401
0.5399.3928676719861.0659128356456
0.5499.58213419215651.02947540273975
0.5599.76399690746460.984837476685339
0.5699.93743030891260.93327547312977
0.57100.1016720155570.876884299295022
0.58100.2563717088450.818546812709871
0.59100.4016706035080.761667012796878
0.6100.5381984915430.709630877575231
0.61100.6669888108960.66500395232656
0.62100.7893257668590.629346852739371
0.63100.9065490971550.602612061327577
0.64101.0198496772330.583336883949229
0.65101.130091385220.568940177361338
0.66101.2376908235590.556193078527013
0.67101.3425769166560.541773485687132
0.68101.4442384088730.523144579865187
0.69101.5418511972880.498712023752534
0.7101.634462260370.468050416175178
0.71101.7211958444090.432077348608727
0.72101.8014431252150.392805980687065
0.73101.8750000585640.352716765489626
0.74101.9421290792690.314712007028302
0.75102.0035364139870.281500959432992
0.76102.0602744497440.254777764536417
0.77102.113593891380.235614139880605
0.78102.1647800675780.223559294579467
0.79102.2150099044460.217410408205748
0.8102.2652607108860.215383769700562
0.81102.3162903461360.21565343172881
0.82102.3686926230190.217154065196532
0.83102.4230141671410.219408499060179
0.84102.4799018961470.222872554272151
0.85102.5402375827240.228702481014712
0.86102.6052142574270.238367417537826
0.87102.6763285623180.252800963561783
0.88102.7553134912790.272121605329549
0.89102.8441154268880.295123436430066
0.9102.9450953450980.320426612982285
0.91103.0616311952040.34822862771224
0.92103.1991323546440.382968439064946
0.93103.3661745108350.433446534289691
0.94103.5753129977810.507447492123726
0.95103.8435068872250.602061985687874
0.96104.1922553504680.703969353366871
0.97104.6438623973390.810348249402192
0.98105.1993185299680.955363585888757
0.99105.7814753571441.16842057047245


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')