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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, 09 Mar 2017 11:31:42 +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/09/t1489059251adofgso9jqkt6l1.htm/, Retrieved Wed, 15 May 2024 03:12:43 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 15 May 2024 03:12:43 +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 
90.36
90.67
91.21
91.35
91.62
91.28
91.17
91.13
91.55
91.62
91.73
91.91
92.5
92.93
92.77
93.42
93.82
94.02
94.13
93.7
93.84
94.22
95.03
95.03
95.25
96.11
96.16
96.1
96.52
96.35
96.35
96.66
96.86
97.84
98.04
98.06
98.79
99.38
99.75
100.4
100.97
101.16
100.42
99.88
99.8
99.78
99.78
99.89
100.38
100.1
100.02
101.15
100.02
99.99
100.14
98.93
98.52
98.42
98.78
99.04
99.53
99.97
99.95
101.68
101.29
101.45
100.98
100.64
100.6
101.59
101.15
101.03

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.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]'Gwilym Jenkins' @ jenkins.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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0190.47501794980080.319557649369058
0.0290.65285488654570.324380750914317
0.0390.83419330068270.292583412358725
0.0490.98623419244460.23781833712191
0.0591.10335887883530.191768680785579
0.0691.1939586768330.173372881985606
0.0791.2698245339170.181148457992932
0.0891.34090065262880.205180549072957
0.0991.41398803745780.239057259459875
0.191.49341032282630.28167903432789
0.1191.58211144155190.334184821037947
0.1291.68238319882050.396990900059798
0.1391.79603867188980.46801163702771
0.1491.92419924083220.542864364923087
0.1592.06697319924750.615745901556595
0.1692.22326054111010.680441493473754
0.1792.39080597572230.732130595758648
0.1892.56650352408270.768139317828339
0.1992.74687040180710.788167609347416
0.292.92857035501030.793893168227058
0.2193.10887224933030.789415756334868
0.2293.28596253418070.779537756518587
0.2393.45907283751350.769725530870173
0.2493.62842380137330.764520653483541
0.2593.7950170187580.767184651311909
0.2693.9603268106570.779262735173228
0.2794.12595291021540.79982465602783
0.2894.29329473199820.82645015368368
0.2994.46329882319310.855322821566025
0.394.63631492774290.882880413789503
0.3194.81207539078340.905395944980091
0.3294.98979076838470.920507044789578
0.3395.16833513202840.92708494800925
0.3495.34648083374620.925465567778963
0.3595.52313648602430.917550208214116
0.3695.69754423410260.906004777689307
0.3795.8694022293230.894212436404021
0.3896.03889350012990.885238939880429
0.3996.2066202770820.881623131975504
0.496.37346002539760.8848178607597
0.4196.54037292533510.894404274219984
0.4296.70819798500160.908566837770703
0.4396.8774751927050.924660656201893
0.4497.04832433467370.939384052594842
0.4597.2203989036840.949662408607196
0.4697.39291852812450.952923598201511
0.4797.56476865299050.947585035413792
0.4897.73464469252250.933164336306099
0.4997.90121161684250.910395030852829
0.598.06324977915710.880538413598663
0.5198.21976326469780.845449602810082
0.5298.37003656617210.807209625694223
0.5398.51363670636850.767834363180015
0.5498.65036863847150.728536109777102
0.5598.78019981937880.690012529328499
0.5698.90317395626010.652488698726925
0.5799.0193336613330.615482176907373
0.5899.1286675973170.578513280022629
0.5999.23109086065350.540772151670548
0.699.32645946912850.501779442136756
0.6199.41461261540420.461521069442405
0.6299.49543126571510.420282670104134
0.6399.56889960236160.378807033109686
0.6499.6351568661130.338248605771779
0.6599.69453074183910.299673952265456
0.6699.74754837617780.264236359419019
0.6799.79492601657430.233008805022979
0.6899.83754187851910.206872006374059
0.6999.87639845888610.186431023610351
0.799.9125801009790.172059271820904
0.7199.94720983418060.16369089553662
0.7299.98140741280650.161208075824974
0.73100.0162490961310.164218580416495
0.74100.0527296093320.171938854885268
0.75100.0917277138540.183392848193101
0.76100.1339779715550.197506354223611
0.77100.1800513465980.213211545291899
0.78100.2303453359620.229522912663096
0.79100.2850805062110.245632390924231
0.8100.3442962278590.260752943563246
0.81100.4078367098430.274262298059178
0.82100.4753217234020.28536092418936
0.83100.5461055236040.293084018234649
0.84100.6192403249580.29615561502599
0.85100.6934723232570.293484107925044
0.86100.7673027698180.283941043278263
0.87100.8391399311740.267440694383289
0.88100.9075495205640.244849785638079
0.89100.9715838329260.218190698262727
0.9101.0311357964050.19081850103572
0.91101.0872248262140.166934073122862
0.92101.1420823172850.151092943480636
0.93101.1988866707640.146576600815817
0.94101.2610424296110.152675858781072
0.95101.3310459740590.163443168012407
0.96101.409199336330.169581830593951
0.97101.4925200143580.162092727548373
0.98101.5738866527560.137550219558143
0.99101.6413392547470.106070505285212

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 90.4750179498008 & 0.319557649369058 \tabularnewline
0.02 & 90.6528548865457 & 0.324380750914317 \tabularnewline
0.03 & 90.8341933006827 & 0.292583412358725 \tabularnewline
0.04 & 90.9862341924446 & 0.23781833712191 \tabularnewline
0.05 & 91.1033588788353 & 0.191768680785579 \tabularnewline
0.06 & 91.193958676833 & 0.173372881985606 \tabularnewline
0.07 & 91.269824533917 & 0.181148457992932 \tabularnewline
0.08 & 91.3409006526288 & 0.205180549072957 \tabularnewline
0.09 & 91.4139880374578 & 0.239057259459875 \tabularnewline
0.1 & 91.4934103228263 & 0.28167903432789 \tabularnewline
0.11 & 91.5821114415519 & 0.334184821037947 \tabularnewline
0.12 & 91.6823831988205 & 0.396990900059798 \tabularnewline
0.13 & 91.7960386718898 & 0.46801163702771 \tabularnewline
0.14 & 91.9241992408322 & 0.542864364923087 \tabularnewline
0.15 & 92.0669731992475 & 0.615745901556595 \tabularnewline
0.16 & 92.2232605411101 & 0.680441493473754 \tabularnewline
0.17 & 92.3908059757223 & 0.732130595758648 \tabularnewline
0.18 & 92.5665035240827 & 0.768139317828339 \tabularnewline
0.19 & 92.7468704018071 & 0.788167609347416 \tabularnewline
0.2 & 92.9285703550103 & 0.793893168227058 \tabularnewline
0.21 & 93.1088722493303 & 0.789415756334868 \tabularnewline
0.22 & 93.2859625341807 & 0.779537756518587 \tabularnewline
0.23 & 93.4590728375135 & 0.769725530870173 \tabularnewline
0.24 & 93.6284238013733 & 0.764520653483541 \tabularnewline
0.25 & 93.795017018758 & 0.767184651311909 \tabularnewline
0.26 & 93.960326810657 & 0.779262735173228 \tabularnewline
0.27 & 94.1259529102154 & 0.79982465602783 \tabularnewline
0.28 & 94.2932947319982 & 0.82645015368368 \tabularnewline
0.29 & 94.4632988231931 & 0.855322821566025 \tabularnewline
0.3 & 94.6363149277429 & 0.882880413789503 \tabularnewline
0.31 & 94.8120753907834 & 0.905395944980091 \tabularnewline
0.32 & 94.9897907683847 & 0.920507044789578 \tabularnewline
0.33 & 95.1683351320284 & 0.92708494800925 \tabularnewline
0.34 & 95.3464808337462 & 0.925465567778963 \tabularnewline
0.35 & 95.5231364860243 & 0.917550208214116 \tabularnewline
0.36 & 95.6975442341026 & 0.906004777689307 \tabularnewline
0.37 & 95.869402229323 & 0.894212436404021 \tabularnewline
0.38 & 96.0388935001299 & 0.885238939880429 \tabularnewline
0.39 & 96.206620277082 & 0.881623131975504 \tabularnewline
0.4 & 96.3734600253976 & 0.8848178607597 \tabularnewline
0.41 & 96.5403729253351 & 0.894404274219984 \tabularnewline
0.42 & 96.7081979850016 & 0.908566837770703 \tabularnewline
0.43 & 96.877475192705 & 0.924660656201893 \tabularnewline
0.44 & 97.0483243346737 & 0.939384052594842 \tabularnewline
0.45 & 97.220398903684 & 0.949662408607196 \tabularnewline
0.46 & 97.3929185281245 & 0.952923598201511 \tabularnewline
0.47 & 97.5647686529905 & 0.947585035413792 \tabularnewline
0.48 & 97.7346446925225 & 0.933164336306099 \tabularnewline
0.49 & 97.9012116168425 & 0.910395030852829 \tabularnewline
0.5 & 98.0632497791571 & 0.880538413598663 \tabularnewline
0.51 & 98.2197632646978 & 0.845449602810082 \tabularnewline
0.52 & 98.3700365661721 & 0.807209625694223 \tabularnewline
0.53 & 98.5136367063685 & 0.767834363180015 \tabularnewline
0.54 & 98.6503686384715 & 0.728536109777102 \tabularnewline
0.55 & 98.7801998193788 & 0.690012529328499 \tabularnewline
0.56 & 98.9031739562601 & 0.652488698726925 \tabularnewline
0.57 & 99.019333661333 & 0.615482176907373 \tabularnewline
0.58 & 99.128667597317 & 0.578513280022629 \tabularnewline
0.59 & 99.2310908606535 & 0.540772151670548 \tabularnewline
0.6 & 99.3264594691285 & 0.501779442136756 \tabularnewline
0.61 & 99.4146126154042 & 0.461521069442405 \tabularnewline
0.62 & 99.4954312657151 & 0.420282670104134 \tabularnewline
0.63 & 99.5688996023616 & 0.378807033109686 \tabularnewline
0.64 & 99.635156866113 & 0.338248605771779 \tabularnewline
0.65 & 99.6945307418391 & 0.299673952265456 \tabularnewline
0.66 & 99.7475483761778 & 0.264236359419019 \tabularnewline
0.67 & 99.7949260165743 & 0.233008805022979 \tabularnewline
0.68 & 99.8375418785191 & 0.206872006374059 \tabularnewline
0.69 & 99.8763984588861 & 0.186431023610351 \tabularnewline
0.7 & 99.912580100979 & 0.172059271820904 \tabularnewline
0.71 & 99.9472098341806 & 0.16369089553662 \tabularnewline
0.72 & 99.9814074128065 & 0.161208075824974 \tabularnewline
0.73 & 100.016249096131 & 0.164218580416495 \tabularnewline
0.74 & 100.052729609332 & 0.171938854885268 \tabularnewline
0.75 & 100.091727713854 & 0.183392848193101 \tabularnewline
0.76 & 100.133977971555 & 0.197506354223611 \tabularnewline
0.77 & 100.180051346598 & 0.213211545291899 \tabularnewline
0.78 & 100.230345335962 & 0.229522912663096 \tabularnewline
0.79 & 100.285080506211 & 0.245632390924231 \tabularnewline
0.8 & 100.344296227859 & 0.260752943563246 \tabularnewline
0.81 & 100.407836709843 & 0.274262298059178 \tabularnewline
0.82 & 100.475321723402 & 0.28536092418936 \tabularnewline
0.83 & 100.546105523604 & 0.293084018234649 \tabularnewline
0.84 & 100.619240324958 & 0.29615561502599 \tabularnewline
0.85 & 100.693472323257 & 0.293484107925044 \tabularnewline
0.86 & 100.767302769818 & 0.283941043278263 \tabularnewline
0.87 & 100.839139931174 & 0.267440694383289 \tabularnewline
0.88 & 100.907549520564 & 0.244849785638079 \tabularnewline
0.89 & 100.971583832926 & 0.218190698262727 \tabularnewline
0.9 & 101.031135796405 & 0.19081850103572 \tabularnewline
0.91 & 101.087224826214 & 0.166934073122862 \tabularnewline
0.92 & 101.142082317285 & 0.151092943480636 \tabularnewline
0.93 & 101.198886670764 & 0.146576600815817 \tabularnewline
0.94 & 101.261042429611 & 0.152675858781072 \tabularnewline
0.95 & 101.331045974059 & 0.163443168012407 \tabularnewline
0.96 & 101.40919933633 & 0.169581830593951 \tabularnewline
0.97 & 101.492520014358 & 0.162092727548373 \tabularnewline
0.98 & 101.573886652756 & 0.137550219558143 \tabularnewline
0.99 & 101.641339254747 & 0.106070505285212 \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]90.4750179498008[/C][C]0.319557649369058[/C][/ROW]
[ROW][C]0.02[/C][C]90.6528548865457[/C][C]0.324380750914317[/C][/ROW]
[ROW][C]0.03[/C][C]90.8341933006827[/C][C]0.292583412358725[/C][/ROW]
[ROW][C]0.04[/C][C]90.9862341924446[/C][C]0.23781833712191[/C][/ROW]
[ROW][C]0.05[/C][C]91.1033588788353[/C][C]0.191768680785579[/C][/ROW]
[ROW][C]0.06[/C][C]91.193958676833[/C][C]0.173372881985606[/C][/ROW]
[ROW][C]0.07[/C][C]91.269824533917[/C][C]0.181148457992932[/C][/ROW]
[ROW][C]0.08[/C][C]91.3409006526288[/C][C]0.205180549072957[/C][/ROW]
[ROW][C]0.09[/C][C]91.4139880374578[/C][C]0.239057259459875[/C][/ROW]
[ROW][C]0.1[/C][C]91.4934103228263[/C][C]0.28167903432789[/C][/ROW]
[ROW][C]0.11[/C][C]91.5821114415519[/C][C]0.334184821037947[/C][/ROW]
[ROW][C]0.12[/C][C]91.6823831988205[/C][C]0.396990900059798[/C][/ROW]
[ROW][C]0.13[/C][C]91.7960386718898[/C][C]0.46801163702771[/C][/ROW]
[ROW][C]0.14[/C][C]91.9241992408322[/C][C]0.542864364923087[/C][/ROW]
[ROW][C]0.15[/C][C]92.0669731992475[/C][C]0.615745901556595[/C][/ROW]
[ROW][C]0.16[/C][C]92.2232605411101[/C][C]0.680441493473754[/C][/ROW]
[ROW][C]0.17[/C][C]92.3908059757223[/C][C]0.732130595758648[/C][/ROW]
[ROW][C]0.18[/C][C]92.5665035240827[/C][C]0.768139317828339[/C][/ROW]
[ROW][C]0.19[/C][C]92.7468704018071[/C][C]0.788167609347416[/C][/ROW]
[ROW][C]0.2[/C][C]92.9285703550103[/C][C]0.793893168227058[/C][/ROW]
[ROW][C]0.21[/C][C]93.1088722493303[/C][C]0.789415756334868[/C][/ROW]
[ROW][C]0.22[/C][C]93.2859625341807[/C][C]0.779537756518587[/C][/ROW]
[ROW][C]0.23[/C][C]93.4590728375135[/C][C]0.769725530870173[/C][/ROW]
[ROW][C]0.24[/C][C]93.6284238013733[/C][C]0.764520653483541[/C][/ROW]
[ROW][C]0.25[/C][C]93.795017018758[/C][C]0.767184651311909[/C][/ROW]
[ROW][C]0.26[/C][C]93.960326810657[/C][C]0.779262735173228[/C][/ROW]
[ROW][C]0.27[/C][C]94.1259529102154[/C][C]0.79982465602783[/C][/ROW]
[ROW][C]0.28[/C][C]94.2932947319982[/C][C]0.82645015368368[/C][/ROW]
[ROW][C]0.29[/C][C]94.4632988231931[/C][C]0.855322821566025[/C][/ROW]
[ROW][C]0.3[/C][C]94.6363149277429[/C][C]0.882880413789503[/C][/ROW]
[ROW][C]0.31[/C][C]94.8120753907834[/C][C]0.905395944980091[/C][/ROW]
[ROW][C]0.32[/C][C]94.9897907683847[/C][C]0.920507044789578[/C][/ROW]
[ROW][C]0.33[/C][C]95.1683351320284[/C][C]0.92708494800925[/C][/ROW]
[ROW][C]0.34[/C][C]95.3464808337462[/C][C]0.925465567778963[/C][/ROW]
[ROW][C]0.35[/C][C]95.5231364860243[/C][C]0.917550208214116[/C][/ROW]
[ROW][C]0.36[/C][C]95.6975442341026[/C][C]0.906004777689307[/C][/ROW]
[ROW][C]0.37[/C][C]95.869402229323[/C][C]0.894212436404021[/C][/ROW]
[ROW][C]0.38[/C][C]96.0388935001299[/C][C]0.885238939880429[/C][/ROW]
[ROW][C]0.39[/C][C]96.206620277082[/C][C]0.881623131975504[/C][/ROW]
[ROW][C]0.4[/C][C]96.3734600253976[/C][C]0.8848178607597[/C][/ROW]
[ROW][C]0.41[/C][C]96.5403729253351[/C][C]0.894404274219984[/C][/ROW]
[ROW][C]0.42[/C][C]96.7081979850016[/C][C]0.908566837770703[/C][/ROW]
[ROW][C]0.43[/C][C]96.877475192705[/C][C]0.924660656201893[/C][/ROW]
[ROW][C]0.44[/C][C]97.0483243346737[/C][C]0.939384052594842[/C][/ROW]
[ROW][C]0.45[/C][C]97.220398903684[/C][C]0.949662408607196[/C][/ROW]
[ROW][C]0.46[/C][C]97.3929185281245[/C][C]0.952923598201511[/C][/ROW]
[ROW][C]0.47[/C][C]97.5647686529905[/C][C]0.947585035413792[/C][/ROW]
[ROW][C]0.48[/C][C]97.7346446925225[/C][C]0.933164336306099[/C][/ROW]
[ROW][C]0.49[/C][C]97.9012116168425[/C][C]0.910395030852829[/C][/ROW]
[ROW][C]0.5[/C][C]98.0632497791571[/C][C]0.880538413598663[/C][/ROW]
[ROW][C]0.51[/C][C]98.2197632646978[/C][C]0.845449602810082[/C][/ROW]
[ROW][C]0.52[/C][C]98.3700365661721[/C][C]0.807209625694223[/C][/ROW]
[ROW][C]0.53[/C][C]98.5136367063685[/C][C]0.767834363180015[/C][/ROW]
[ROW][C]0.54[/C][C]98.6503686384715[/C][C]0.728536109777102[/C][/ROW]
[ROW][C]0.55[/C][C]98.7801998193788[/C][C]0.690012529328499[/C][/ROW]
[ROW][C]0.56[/C][C]98.9031739562601[/C][C]0.652488698726925[/C][/ROW]
[ROW][C]0.57[/C][C]99.019333661333[/C][C]0.615482176907373[/C][/ROW]
[ROW][C]0.58[/C][C]99.128667597317[/C][C]0.578513280022629[/C][/ROW]
[ROW][C]0.59[/C][C]99.2310908606535[/C][C]0.540772151670548[/C][/ROW]
[ROW][C]0.6[/C][C]99.3264594691285[/C][C]0.501779442136756[/C][/ROW]
[ROW][C]0.61[/C][C]99.4146126154042[/C][C]0.461521069442405[/C][/ROW]
[ROW][C]0.62[/C][C]99.4954312657151[/C][C]0.420282670104134[/C][/ROW]
[ROW][C]0.63[/C][C]99.5688996023616[/C][C]0.378807033109686[/C][/ROW]
[ROW][C]0.64[/C][C]99.635156866113[/C][C]0.338248605771779[/C][/ROW]
[ROW][C]0.65[/C][C]99.6945307418391[/C][C]0.299673952265456[/C][/ROW]
[ROW][C]0.66[/C][C]99.7475483761778[/C][C]0.264236359419019[/C][/ROW]
[ROW][C]0.67[/C][C]99.7949260165743[/C][C]0.233008805022979[/C][/ROW]
[ROW][C]0.68[/C][C]99.8375418785191[/C][C]0.206872006374059[/C][/ROW]
[ROW][C]0.69[/C][C]99.8763984588861[/C][C]0.186431023610351[/C][/ROW]
[ROW][C]0.7[/C][C]99.912580100979[/C][C]0.172059271820904[/C][/ROW]
[ROW][C]0.71[/C][C]99.9472098341806[/C][C]0.16369089553662[/C][/ROW]
[ROW][C]0.72[/C][C]99.9814074128065[/C][C]0.161208075824974[/C][/ROW]
[ROW][C]0.73[/C][C]100.016249096131[/C][C]0.164218580416495[/C][/ROW]
[ROW][C]0.74[/C][C]100.052729609332[/C][C]0.171938854885268[/C][/ROW]
[ROW][C]0.75[/C][C]100.091727713854[/C][C]0.183392848193101[/C][/ROW]
[ROW][C]0.76[/C][C]100.133977971555[/C][C]0.197506354223611[/C][/ROW]
[ROW][C]0.77[/C][C]100.180051346598[/C][C]0.213211545291899[/C][/ROW]
[ROW][C]0.78[/C][C]100.230345335962[/C][C]0.229522912663096[/C][/ROW]
[ROW][C]0.79[/C][C]100.285080506211[/C][C]0.245632390924231[/C][/ROW]
[ROW][C]0.8[/C][C]100.344296227859[/C][C]0.260752943563246[/C][/ROW]
[ROW][C]0.81[/C][C]100.407836709843[/C][C]0.274262298059178[/C][/ROW]
[ROW][C]0.82[/C][C]100.475321723402[/C][C]0.28536092418936[/C][/ROW]
[ROW][C]0.83[/C][C]100.546105523604[/C][C]0.293084018234649[/C][/ROW]
[ROW][C]0.84[/C][C]100.619240324958[/C][C]0.29615561502599[/C][/ROW]
[ROW][C]0.85[/C][C]100.693472323257[/C][C]0.293484107925044[/C][/ROW]
[ROW][C]0.86[/C][C]100.767302769818[/C][C]0.283941043278263[/C][/ROW]
[ROW][C]0.87[/C][C]100.839139931174[/C][C]0.267440694383289[/C][/ROW]
[ROW][C]0.88[/C][C]100.907549520564[/C][C]0.244849785638079[/C][/ROW]
[ROW][C]0.89[/C][C]100.971583832926[/C][C]0.218190698262727[/C][/ROW]
[ROW][C]0.9[/C][C]101.031135796405[/C][C]0.19081850103572[/C][/ROW]
[ROW][C]0.91[/C][C]101.087224826214[/C][C]0.166934073122862[/C][/ROW]
[ROW][C]0.92[/C][C]101.142082317285[/C][C]0.151092943480636[/C][/ROW]
[ROW][C]0.93[/C][C]101.198886670764[/C][C]0.146576600815817[/C][/ROW]
[ROW][C]0.94[/C][C]101.261042429611[/C][C]0.152675858781072[/C][/ROW]
[ROW][C]0.95[/C][C]101.331045974059[/C][C]0.163443168012407[/C][/ROW]
[ROW][C]0.96[/C][C]101.40919933633[/C][C]0.169581830593951[/C][/ROW]
[ROW][C]0.97[/C][C]101.492520014358[/C][C]0.162092727548373[/C][/ROW]
[ROW][C]0.98[/C][C]101.573886652756[/C][C]0.137550219558143[/C][/ROW]
[ROW][C]0.99[/C][C]101.641339254747[/C][C]0.106070505285212[/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
0.0190.47501794980080.319557649369058
0.0290.65285488654570.324380750914317
0.0390.83419330068270.292583412358725
0.0490.98623419244460.23781833712191
0.0591.10335887883530.191768680785579
0.0691.1939586768330.173372881985606
0.0791.2698245339170.181148457992932
0.0891.34090065262880.205180549072957
0.0991.41398803745780.239057259459875
0.191.49341032282630.28167903432789
0.1191.58211144155190.334184821037947
0.1291.68238319882050.396990900059798
0.1391.79603867188980.46801163702771
0.1491.92419924083220.542864364923087
0.1592.06697319924750.615745901556595
0.1692.22326054111010.680441493473754
0.1792.39080597572230.732130595758648
0.1892.56650352408270.768139317828339
0.1992.74687040180710.788167609347416
0.292.92857035501030.793893168227058
0.2193.10887224933030.789415756334868
0.2293.28596253418070.779537756518587
0.2393.45907283751350.769725530870173
0.2493.62842380137330.764520653483541
0.2593.7950170187580.767184651311909
0.2693.9603268106570.779262735173228
0.2794.12595291021540.79982465602783
0.2894.29329473199820.82645015368368
0.2994.46329882319310.855322821566025
0.394.63631492774290.882880413789503
0.3194.81207539078340.905395944980091
0.3294.98979076838470.920507044789578
0.3395.16833513202840.92708494800925
0.3495.34648083374620.925465567778963
0.3595.52313648602430.917550208214116
0.3695.69754423410260.906004777689307
0.3795.8694022293230.894212436404021
0.3896.03889350012990.885238939880429
0.3996.2066202770820.881623131975504
0.496.37346002539760.8848178607597
0.4196.54037292533510.894404274219984
0.4296.70819798500160.908566837770703
0.4396.8774751927050.924660656201893
0.4497.04832433467370.939384052594842
0.4597.2203989036840.949662408607196
0.4697.39291852812450.952923598201511
0.4797.56476865299050.947585035413792
0.4897.73464469252250.933164336306099
0.4997.90121161684250.910395030852829
0.598.06324977915710.880538413598663
0.5198.21976326469780.845449602810082
0.5298.37003656617210.807209625694223
0.5398.51363670636850.767834363180015
0.5498.65036863847150.728536109777102
0.5598.78019981937880.690012529328499
0.5698.90317395626010.652488698726925
0.5799.0193336613330.615482176907373
0.5899.1286675973170.578513280022629
0.5999.23109086065350.540772151670548
0.699.32645946912850.501779442136756
0.6199.41461261540420.461521069442405
0.6299.49543126571510.420282670104134
0.6399.56889960236160.378807033109686
0.6499.6351568661130.338248605771779
0.6599.69453074183910.299673952265456
0.6699.74754837617780.264236359419019
0.6799.79492601657430.233008805022979
0.6899.83754187851910.206872006374059
0.6999.87639845888610.186431023610351
0.799.9125801009790.172059271820904
0.7199.94720983418060.16369089553662
0.7299.98140741280650.161208075824974
0.73100.0162490961310.164218580416495
0.74100.0527296093320.171938854885268
0.75100.0917277138540.183392848193101
0.76100.1339779715550.197506354223611
0.77100.1800513465980.213211545291899
0.78100.2303453359620.229522912663096
0.79100.2850805062110.245632390924231
0.8100.3442962278590.260752943563246
0.81100.4078367098430.274262298059178
0.82100.4753217234020.28536092418936
0.83100.5461055236040.293084018234649
0.84100.6192403249580.29615561502599
0.85100.6934723232570.293484107925044
0.86100.7673027698180.283941043278263
0.87100.8391399311740.267440694383289
0.88100.9075495205640.244849785638079
0.89100.9715838329260.218190698262727
0.9101.0311357964050.19081850103572
0.91101.0872248262140.166934073122862
0.92101.1420823172850.151092943480636
0.93101.1988866707640.146576600815817
0.94101.2610424296110.152675858781072
0.95101.3310459740590.163443168012407
0.96101.409199336330.169581830593951
0.97101.4925200143580.162092727548373
0.98101.5738866527560.137550219558143
0.99101.6413392547470.106070505285212


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')