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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, 04 Oct 2014 17:35:00 +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/04/t14124405386gme3jv9tvufvc2.htm/, Retrieved Mon, 13 May 2024 14:56:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238617, Retrieved Mon, 13 May 2024 14:56:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact132

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] [Harrell Davis D g...] [2014-10-04 16:26:32] [e447d1deb50f041b765de28867e39482]
-   PD    [Harrell-Davis Quantiles] [Harrell Davis P ] [2014-10-04 16:35:00] [12dd06d3a2c25ae97856df636a27679f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
123,2
136,9
146,8
149,6
146,5
157
147,9
133,6
128,7
100,8
91,8
89,3
96,7
91,6
93,3
93,3
101
100,4
86,9
83,9
80,3
87,7
92,7
95,5
92
87,4
86,8
83,7
85
81,7
90,9
101,5
113,8
120,1
122,1
132,5
140
149,4
144,3
154,4
151,4
145,5
136,8
146,6
145,1
133,6
131,4
127,5
130,1
131,1
132,3
128,6
125,1
128,7
156,1
163,2
159,8
157,4
156,2
152,5
149,4
145,9
144,8
135,9
137,6
136
117,7
111,5
107,8
107,3
102,6
101

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'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238617&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238617&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238617&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0180.82531331820761.4555666827033
0.0281.66214938880031.55748471134279
0.0382.57269949590381.5911956273842
0.0483.42938637115671.58958110875938
0.0584.20508052787951.61503531244824
0.0684.91448736213581.66349017556938
0.0785.57757359308921.70859438550031
0.0886.20864118839331.74867003132275
0.0986.81751921499161.80088571250917
0.187.4123368086941.87659012273418
0.1187.99995439383491.96852456530886
0.1288.5847378317362.05679056539548
0.1389.16771010857072.12370436077909
0.1489.7472551962092.16330056423676
0.1590.32116394806812.18463497865458
0.1690.88899235305012.20817605390559
0.1791.45367860541982.25876402107927
0.1892.02184974985262.35715257721473
0.1992.60284595737712.51238162769803
0.293.2069285757622.7203155556248
0.2193.8433172037362.96567980298081
0.2294.51864683047493.22849120413665
0.2395.23623163083763.48928879574539
0.2495.99625765931053.73405663546479
0.2596.79677600128783.95696217933597
0.2697.63518169584444.16248622667446
0.2798.50977090073334.36372453581438
0.2899.4209776666784.57987899221749
0.29100.3719905722474.83059947540737
0.3101.3686088131525.13076415787973
0.31102.4183761157285.48652039765841
0.32103.5291864737615.89238298178714
0.33104.7076548295296.33239127109288
0.34105.9575721886356.78261678651809
0.35107.2787215435437.21550266153169
0.36108.6662377072617.60233127288463
0.37110.1105786080687.91800420123052
0.38111.5980656414118.14207151184365
0.39113.1118673267588.26105925973557
0.4114.6332544142548.26932068710571
0.41116.1429460098288.16826922174831
0.42117.622387760877.96581067506308
0.43119.0548431916727.67487039117064
0.44120.4262260378387.31217365680835
0.45121.7256452869166.89626535493363
0.46122.9456695591766.44677745754035
0.47124.082341159875.98234060078316
0.48125.1349833102365.52039423151647
0.49126.105849234415.07614430072044
0.5126.9996619886594.662345473047
0.51127.8230917093134.28892256185906
0.52128.5842137836123.96277091652791
0.53129.2919876115153.68766750993771
0.54129.9557905907113.46510717317036
0.55130.5850348644713.29406932647206
0.56131.1888845299933.17231840119869
0.57131.7760782197543.09580204575395
0.58132.3548467392783.06134194110919
0.59132.932899104673.06526701315063
0.6133.5174351804053.10449046710005
0.61134.1151325090993.17663899402791
0.62134.7320529425953.2782702144825
0.63135.3734253099813.40564610066439
0.64136.0432859400593.55204506916299
0.65136.7439982442943.70809601113913
0.66137.4757196740033.86075258099911
0.67138.2359280901263.99414742195057
0.68139.0191457989974.09092309015471
0.69139.8169950826264.13499236984342
0.7140.6186768758984.11361114624367
0.71141.4118874211524.02031972082425
0.72142.1840909969373.85630055832218
0.73142.9239739675323.63117338250543
0.74143.6228430180383.36179217116153
0.75144.2757197638693.07079524972843
0.76144.8819335712682.78283443195337
0.77145.4451164909882.52151926275026
0.78145.9726349821092.30629795136011
0.79146.4746181509342.14899890559681
0.8146.9628245131042.0532731133172
0.81147.4495988728972.0152346470052
0.82147.9470950002582.02678814778028
0.83148.4667914750822.07884079345482
0.84149.0191510457512.16413861497631
0.85149.6131386651112.2752607943704
0.86150.255301130072.40269871566914
0.87150.9482838818592.53026934542842
0.88151.6890234509952.63399219341182
0.89152.4673255698532.68438108137055
0.9153.2659467413892.65354385913918
0.91154.0634187148092.52509252321693
0.92154.8405017102312.30588707387339
0.93155.5902569936162.03434838087233
0.94156.3303574118811.78458506981507
0.95157.1142770123851.66061550335191
0.96158.0338803321961.75386913837431
0.97159.1953000613362.06521004114395
0.98160.633077810712.51143103950758
0.99162.1455608603592.99442276238085

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 80.8253133182076 & 1.4555666827033 \tabularnewline
0.02 & 81.6621493888003 & 1.55748471134279 \tabularnewline
0.03 & 82.5726994959038 & 1.5911956273842 \tabularnewline
0.04 & 83.4293863711567 & 1.58958110875938 \tabularnewline
0.05 & 84.2050805278795 & 1.61503531244824 \tabularnewline
0.06 & 84.9144873621358 & 1.66349017556938 \tabularnewline
0.07 & 85.5775735930892 & 1.70859438550031 \tabularnewline
0.08 & 86.2086411883933 & 1.74867003132275 \tabularnewline
0.09 & 86.8175192149916 & 1.80088571250917 \tabularnewline
0.1 & 87.412336808694 & 1.87659012273418 \tabularnewline
0.11 & 87.9999543938349 & 1.96852456530886 \tabularnewline
0.12 & 88.584737831736 & 2.05679056539548 \tabularnewline
0.13 & 89.1677101085707 & 2.12370436077909 \tabularnewline
0.14 & 89.747255196209 & 2.16330056423676 \tabularnewline
0.15 & 90.3211639480681 & 2.18463497865458 \tabularnewline
0.16 & 90.8889923530501 & 2.20817605390559 \tabularnewline
0.17 & 91.4536786054198 & 2.25876402107927 \tabularnewline
0.18 & 92.0218497498526 & 2.35715257721473 \tabularnewline
0.19 & 92.6028459573771 & 2.51238162769803 \tabularnewline
0.2 & 93.206928575762 & 2.7203155556248 \tabularnewline
0.21 & 93.843317203736 & 2.96567980298081 \tabularnewline
0.22 & 94.5186468304749 & 3.22849120413665 \tabularnewline
0.23 & 95.2362316308376 & 3.48928879574539 \tabularnewline
0.24 & 95.9962576593105 & 3.73405663546479 \tabularnewline
0.25 & 96.7967760012878 & 3.95696217933597 \tabularnewline
0.26 & 97.6351816958444 & 4.16248622667446 \tabularnewline
0.27 & 98.5097709007333 & 4.36372453581438 \tabularnewline
0.28 & 99.420977666678 & 4.57987899221749 \tabularnewline
0.29 & 100.371990572247 & 4.83059947540737 \tabularnewline
0.3 & 101.368608813152 & 5.13076415787973 \tabularnewline
0.31 & 102.418376115728 & 5.48652039765841 \tabularnewline
0.32 & 103.529186473761 & 5.89238298178714 \tabularnewline
0.33 & 104.707654829529 & 6.33239127109288 \tabularnewline
0.34 & 105.957572188635 & 6.78261678651809 \tabularnewline
0.35 & 107.278721543543 & 7.21550266153169 \tabularnewline
0.36 & 108.666237707261 & 7.60233127288463 \tabularnewline
0.37 & 110.110578608068 & 7.91800420123052 \tabularnewline
0.38 & 111.598065641411 & 8.14207151184365 \tabularnewline
0.39 & 113.111867326758 & 8.26105925973557 \tabularnewline
0.4 & 114.633254414254 & 8.26932068710571 \tabularnewline
0.41 & 116.142946009828 & 8.16826922174831 \tabularnewline
0.42 & 117.62238776087 & 7.96581067506308 \tabularnewline
0.43 & 119.054843191672 & 7.67487039117064 \tabularnewline
0.44 & 120.426226037838 & 7.31217365680835 \tabularnewline
0.45 & 121.725645286916 & 6.89626535493363 \tabularnewline
0.46 & 122.945669559176 & 6.44677745754035 \tabularnewline
0.47 & 124.08234115987 & 5.98234060078316 \tabularnewline
0.48 & 125.134983310236 & 5.52039423151647 \tabularnewline
0.49 & 126.10584923441 & 5.07614430072044 \tabularnewline
0.5 & 126.999661988659 & 4.662345473047 \tabularnewline
0.51 & 127.823091709313 & 4.28892256185906 \tabularnewline
0.52 & 128.584213783612 & 3.96277091652791 \tabularnewline
0.53 & 129.291987611515 & 3.68766750993771 \tabularnewline
0.54 & 129.955790590711 & 3.46510717317036 \tabularnewline
0.55 & 130.585034864471 & 3.29406932647206 \tabularnewline
0.56 & 131.188884529993 & 3.17231840119869 \tabularnewline
0.57 & 131.776078219754 & 3.09580204575395 \tabularnewline
0.58 & 132.354846739278 & 3.06134194110919 \tabularnewline
0.59 & 132.93289910467 & 3.06526701315063 \tabularnewline
0.6 & 133.517435180405 & 3.10449046710005 \tabularnewline
0.61 & 134.115132509099 & 3.17663899402791 \tabularnewline
0.62 & 134.732052942595 & 3.2782702144825 \tabularnewline
0.63 & 135.373425309981 & 3.40564610066439 \tabularnewline
0.64 & 136.043285940059 & 3.55204506916299 \tabularnewline
0.65 & 136.743998244294 & 3.70809601113913 \tabularnewline
0.66 & 137.475719674003 & 3.86075258099911 \tabularnewline
0.67 & 138.235928090126 & 3.99414742195057 \tabularnewline
0.68 & 139.019145798997 & 4.09092309015471 \tabularnewline
0.69 & 139.816995082626 & 4.13499236984342 \tabularnewline
0.7 & 140.618676875898 & 4.11361114624367 \tabularnewline
0.71 & 141.411887421152 & 4.02031972082425 \tabularnewline
0.72 & 142.184090996937 & 3.85630055832218 \tabularnewline
0.73 & 142.923973967532 & 3.63117338250543 \tabularnewline
0.74 & 143.622843018038 & 3.36179217116153 \tabularnewline
0.75 & 144.275719763869 & 3.07079524972843 \tabularnewline
0.76 & 144.881933571268 & 2.78283443195337 \tabularnewline
0.77 & 145.445116490988 & 2.52151926275026 \tabularnewline
0.78 & 145.972634982109 & 2.30629795136011 \tabularnewline
0.79 & 146.474618150934 & 2.14899890559681 \tabularnewline
0.8 & 146.962824513104 & 2.0532731133172 \tabularnewline
0.81 & 147.449598872897 & 2.0152346470052 \tabularnewline
0.82 & 147.947095000258 & 2.02678814778028 \tabularnewline
0.83 & 148.466791475082 & 2.07884079345482 \tabularnewline
0.84 & 149.019151045751 & 2.16413861497631 \tabularnewline
0.85 & 149.613138665111 & 2.2752607943704 \tabularnewline
0.86 & 150.25530113007 & 2.40269871566914 \tabularnewline
0.87 & 150.948283881859 & 2.53026934542842 \tabularnewline
0.88 & 151.689023450995 & 2.63399219341182 \tabularnewline
0.89 & 152.467325569853 & 2.68438108137055 \tabularnewline
0.9 & 153.265946741389 & 2.65354385913918 \tabularnewline
0.91 & 154.063418714809 & 2.52509252321693 \tabularnewline
0.92 & 154.840501710231 & 2.30588707387339 \tabularnewline
0.93 & 155.590256993616 & 2.03434838087233 \tabularnewline
0.94 & 156.330357411881 & 1.78458506981507 \tabularnewline
0.95 & 157.114277012385 & 1.66061550335191 \tabularnewline
0.96 & 158.033880332196 & 1.75386913837431 \tabularnewline
0.97 & 159.195300061336 & 2.06521004114395 \tabularnewline
0.98 & 160.63307781071 & 2.51143103950758 \tabularnewline
0.99 & 162.145560860359 & 2.99442276238085 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238617&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]80.8253133182076[/C][C]1.4555666827033[/C][/ROW]
[ROW][C]0.02[/C][C]81.6621493888003[/C][C]1.55748471134279[/C][/ROW]
[ROW][C]0.03[/C][C]82.5726994959038[/C][C]1.5911956273842[/C][/ROW]
[ROW][C]0.04[/C][C]83.4293863711567[/C][C]1.58958110875938[/C][/ROW]
[ROW][C]0.05[/C][C]84.2050805278795[/C][C]1.61503531244824[/C][/ROW]
[ROW][C]0.06[/C][C]84.9144873621358[/C][C]1.66349017556938[/C][/ROW]
[ROW][C]0.07[/C][C]85.5775735930892[/C][C]1.70859438550031[/C][/ROW]
[ROW][C]0.08[/C][C]86.2086411883933[/C][C]1.74867003132275[/C][/ROW]
[ROW][C]0.09[/C][C]86.8175192149916[/C][C]1.80088571250917[/C][/ROW]
[ROW][C]0.1[/C][C]87.412336808694[/C][C]1.87659012273418[/C][/ROW]
[ROW][C]0.11[/C][C]87.9999543938349[/C][C]1.96852456530886[/C][/ROW]
[ROW][C]0.12[/C][C]88.584737831736[/C][C]2.05679056539548[/C][/ROW]
[ROW][C]0.13[/C][C]89.1677101085707[/C][C]2.12370436077909[/C][/ROW]
[ROW][C]0.14[/C][C]89.747255196209[/C][C]2.16330056423676[/C][/ROW]
[ROW][C]0.15[/C][C]90.3211639480681[/C][C]2.18463497865458[/C][/ROW]
[ROW][C]0.16[/C][C]90.8889923530501[/C][C]2.20817605390559[/C][/ROW]
[ROW][C]0.17[/C][C]91.4536786054198[/C][C]2.25876402107927[/C][/ROW]
[ROW][C]0.18[/C][C]92.0218497498526[/C][C]2.35715257721473[/C][/ROW]
[ROW][C]0.19[/C][C]92.6028459573771[/C][C]2.51238162769803[/C][/ROW]
[ROW][C]0.2[/C][C]93.206928575762[/C][C]2.7203155556248[/C][/ROW]
[ROW][C]0.21[/C][C]93.843317203736[/C][C]2.96567980298081[/C][/ROW]
[ROW][C]0.22[/C][C]94.5186468304749[/C][C]3.22849120413665[/C][/ROW]
[ROW][C]0.23[/C][C]95.2362316308376[/C][C]3.48928879574539[/C][/ROW]
[ROW][C]0.24[/C][C]95.9962576593105[/C][C]3.73405663546479[/C][/ROW]
[ROW][C]0.25[/C][C]96.7967760012878[/C][C]3.95696217933597[/C][/ROW]
[ROW][C]0.26[/C][C]97.6351816958444[/C][C]4.16248622667446[/C][/ROW]
[ROW][C]0.27[/C][C]98.5097709007333[/C][C]4.36372453581438[/C][/ROW]
[ROW][C]0.28[/C][C]99.420977666678[/C][C]4.57987899221749[/C][/ROW]
[ROW][C]0.29[/C][C]100.371990572247[/C][C]4.83059947540737[/C][/ROW]
[ROW][C]0.3[/C][C]101.368608813152[/C][C]5.13076415787973[/C][/ROW]
[ROW][C]0.31[/C][C]102.418376115728[/C][C]5.48652039765841[/C][/ROW]
[ROW][C]0.32[/C][C]103.529186473761[/C][C]5.89238298178714[/C][/ROW]
[ROW][C]0.33[/C][C]104.707654829529[/C][C]6.33239127109288[/C][/ROW]
[ROW][C]0.34[/C][C]105.957572188635[/C][C]6.78261678651809[/C][/ROW]
[ROW][C]0.35[/C][C]107.278721543543[/C][C]7.21550266153169[/C][/ROW]
[ROW][C]0.36[/C][C]108.666237707261[/C][C]7.60233127288463[/C][/ROW]
[ROW][C]0.37[/C][C]110.110578608068[/C][C]7.91800420123052[/C][/ROW]
[ROW][C]0.38[/C][C]111.598065641411[/C][C]8.14207151184365[/C][/ROW]
[ROW][C]0.39[/C][C]113.111867326758[/C][C]8.26105925973557[/C][/ROW]
[ROW][C]0.4[/C][C]114.633254414254[/C][C]8.26932068710571[/C][/ROW]
[ROW][C]0.41[/C][C]116.142946009828[/C][C]8.16826922174831[/C][/ROW]
[ROW][C]0.42[/C][C]117.62238776087[/C][C]7.96581067506308[/C][/ROW]
[ROW][C]0.43[/C][C]119.054843191672[/C][C]7.67487039117064[/C][/ROW]
[ROW][C]0.44[/C][C]120.426226037838[/C][C]7.31217365680835[/C][/ROW]
[ROW][C]0.45[/C][C]121.725645286916[/C][C]6.89626535493363[/C][/ROW]
[ROW][C]0.46[/C][C]122.945669559176[/C][C]6.44677745754035[/C][/ROW]
[ROW][C]0.47[/C][C]124.08234115987[/C][C]5.98234060078316[/C][/ROW]
[ROW][C]0.48[/C][C]125.134983310236[/C][C]5.52039423151647[/C][/ROW]
[ROW][C]0.49[/C][C]126.10584923441[/C][C]5.07614430072044[/C][/ROW]
[ROW][C]0.5[/C][C]126.999661988659[/C][C]4.662345473047[/C][/ROW]
[ROW][C]0.51[/C][C]127.823091709313[/C][C]4.28892256185906[/C][/ROW]
[ROW][C]0.52[/C][C]128.584213783612[/C][C]3.96277091652791[/C][/ROW]
[ROW][C]0.53[/C][C]129.291987611515[/C][C]3.68766750993771[/C][/ROW]
[ROW][C]0.54[/C][C]129.955790590711[/C][C]3.46510717317036[/C][/ROW]
[ROW][C]0.55[/C][C]130.585034864471[/C][C]3.29406932647206[/C][/ROW]
[ROW][C]0.56[/C][C]131.188884529993[/C][C]3.17231840119869[/C][/ROW]
[ROW][C]0.57[/C][C]131.776078219754[/C][C]3.09580204575395[/C][/ROW]
[ROW][C]0.58[/C][C]132.354846739278[/C][C]3.06134194110919[/C][/ROW]
[ROW][C]0.59[/C][C]132.93289910467[/C][C]3.06526701315063[/C][/ROW]
[ROW][C]0.6[/C][C]133.517435180405[/C][C]3.10449046710005[/C][/ROW]
[ROW][C]0.61[/C][C]134.115132509099[/C][C]3.17663899402791[/C][/ROW]
[ROW][C]0.62[/C][C]134.732052942595[/C][C]3.2782702144825[/C][/ROW]
[ROW][C]0.63[/C][C]135.373425309981[/C][C]3.40564610066439[/C][/ROW]
[ROW][C]0.64[/C][C]136.043285940059[/C][C]3.55204506916299[/C][/ROW]
[ROW][C]0.65[/C][C]136.743998244294[/C][C]3.70809601113913[/C][/ROW]
[ROW][C]0.66[/C][C]137.475719674003[/C][C]3.86075258099911[/C][/ROW]
[ROW][C]0.67[/C][C]138.235928090126[/C][C]3.99414742195057[/C][/ROW]
[ROW][C]0.68[/C][C]139.019145798997[/C][C]4.09092309015471[/C][/ROW]
[ROW][C]0.69[/C][C]139.816995082626[/C][C]4.13499236984342[/C][/ROW]
[ROW][C]0.7[/C][C]140.618676875898[/C][C]4.11361114624367[/C][/ROW]
[ROW][C]0.71[/C][C]141.411887421152[/C][C]4.02031972082425[/C][/ROW]
[ROW][C]0.72[/C][C]142.184090996937[/C][C]3.85630055832218[/C][/ROW]
[ROW][C]0.73[/C][C]142.923973967532[/C][C]3.63117338250543[/C][/ROW]
[ROW][C]0.74[/C][C]143.622843018038[/C][C]3.36179217116153[/C][/ROW]
[ROW][C]0.75[/C][C]144.275719763869[/C][C]3.07079524972843[/C][/ROW]
[ROW][C]0.76[/C][C]144.881933571268[/C][C]2.78283443195337[/C][/ROW]
[ROW][C]0.77[/C][C]145.445116490988[/C][C]2.52151926275026[/C][/ROW]
[ROW][C]0.78[/C][C]145.972634982109[/C][C]2.30629795136011[/C][/ROW]
[ROW][C]0.79[/C][C]146.474618150934[/C][C]2.14899890559681[/C][/ROW]
[ROW][C]0.8[/C][C]146.962824513104[/C][C]2.0532731133172[/C][/ROW]
[ROW][C]0.81[/C][C]147.449598872897[/C][C]2.0152346470052[/C][/ROW]
[ROW][C]0.82[/C][C]147.947095000258[/C][C]2.02678814778028[/C][/ROW]
[ROW][C]0.83[/C][C]148.466791475082[/C][C]2.07884079345482[/C][/ROW]
[ROW][C]0.84[/C][C]149.019151045751[/C][C]2.16413861497631[/C][/ROW]
[ROW][C]0.85[/C][C]149.613138665111[/C][C]2.2752607943704[/C][/ROW]
[ROW][C]0.86[/C][C]150.25530113007[/C][C]2.40269871566914[/C][/ROW]
[ROW][C]0.87[/C][C]150.948283881859[/C][C]2.53026934542842[/C][/ROW]
[ROW][C]0.88[/C][C]151.689023450995[/C][C]2.63399219341182[/C][/ROW]
[ROW][C]0.89[/C][C]152.467325569853[/C][C]2.68438108137055[/C][/ROW]
[ROW][C]0.9[/C][C]153.265946741389[/C][C]2.65354385913918[/C][/ROW]
[ROW][C]0.91[/C][C]154.063418714809[/C][C]2.52509252321693[/C][/ROW]
[ROW][C]0.92[/C][C]154.840501710231[/C][C]2.30588707387339[/C][/ROW]
[ROW][C]0.93[/C][C]155.590256993616[/C][C]2.03434838087233[/C][/ROW]
[ROW][C]0.94[/C][C]156.330357411881[/C][C]1.78458506981507[/C][/ROW]
[ROW][C]0.95[/C][C]157.114277012385[/C][C]1.66061550335191[/C][/ROW]
[ROW][C]0.96[/C][C]158.033880332196[/C][C]1.75386913837431[/C][/ROW]
[ROW][C]0.97[/C][C]159.195300061336[/C][C]2.06521004114395[/C][/ROW]
[ROW][C]0.98[/C][C]160.63307781071[/C][C]2.51143103950758[/C][/ROW]
[ROW][C]0.99[/C][C]162.145560860359[/C][C]2.99442276238085[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238617&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238617&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
0.0180.82531331820761.4555666827033
0.0281.66214938880031.55748471134279
0.0382.57269949590381.5911956273842
0.0483.42938637115671.58958110875938
0.0584.20508052787951.61503531244824
0.0684.91448736213581.66349017556938
0.0785.57757359308921.70859438550031
0.0886.20864118839331.74867003132275
0.0986.81751921499161.80088571250917
0.187.4123368086941.87659012273418
0.1187.99995439383491.96852456530886
0.1288.5847378317362.05679056539548
0.1389.16771010857072.12370436077909
0.1489.7472551962092.16330056423676
0.1590.32116394806812.18463497865458
0.1690.88899235305012.20817605390559
0.1791.45367860541982.25876402107927
0.1892.02184974985262.35715257721473
0.1992.60284595737712.51238162769803
0.293.2069285757622.7203155556248
0.2193.8433172037362.96567980298081
0.2294.51864683047493.22849120413665
0.2395.23623163083763.48928879574539
0.2495.99625765931053.73405663546479
0.2596.79677600128783.95696217933597
0.2697.63518169584444.16248622667446
0.2798.50977090073334.36372453581438
0.2899.4209776666784.57987899221749
0.29100.3719905722474.83059947540737
0.3101.3686088131525.13076415787973
0.31102.4183761157285.48652039765841
0.32103.5291864737615.89238298178714
0.33104.7076548295296.33239127109288
0.34105.9575721886356.78261678651809
0.35107.2787215435437.21550266153169
0.36108.6662377072617.60233127288463
0.37110.1105786080687.91800420123052
0.38111.5980656414118.14207151184365
0.39113.1118673267588.26105925973557
0.4114.6332544142548.26932068710571
0.41116.1429460098288.16826922174831
0.42117.622387760877.96581067506308
0.43119.0548431916727.67487039117064
0.44120.4262260378387.31217365680835
0.45121.7256452869166.89626535493363
0.46122.9456695591766.44677745754035
0.47124.082341159875.98234060078316
0.48125.1349833102365.52039423151647
0.49126.105849234415.07614430072044
0.5126.9996619886594.662345473047
0.51127.8230917093134.28892256185906
0.52128.5842137836123.96277091652791
0.53129.2919876115153.68766750993771
0.54129.9557905907113.46510717317036
0.55130.5850348644713.29406932647206
0.56131.1888845299933.17231840119869
0.57131.7760782197543.09580204575395
0.58132.3548467392783.06134194110919
0.59132.932899104673.06526701315063
0.6133.5174351804053.10449046710005
0.61134.1151325090993.17663899402791
0.62134.7320529425953.2782702144825
0.63135.3734253099813.40564610066439
0.64136.0432859400593.55204506916299
0.65136.7439982442943.70809601113913
0.66137.4757196740033.86075258099911
0.67138.2359280901263.99414742195057
0.68139.0191457989974.09092309015471
0.69139.8169950826264.13499236984342
0.7140.6186768758984.11361114624367
0.71141.4118874211524.02031972082425
0.72142.1840909969373.85630055832218
0.73142.9239739675323.63117338250543
0.74143.6228430180383.36179217116153
0.75144.2757197638693.07079524972843
0.76144.8819335712682.78283443195337
0.77145.4451164909882.52151926275026
0.78145.9726349821092.30629795136011
0.79146.4746181509342.14899890559681
0.8146.9628245131042.0532731133172
0.81147.4495988728972.0152346470052
0.82147.9470950002582.02678814778028
0.83148.4667914750822.07884079345482
0.84149.0191510457512.16413861497631
0.85149.6131386651112.2752607943704
0.86150.255301130072.40269871566914
0.87150.9482838818592.53026934542842
0.88151.6890234509952.63399219341182
0.89152.4673255698532.68438108137055
0.9153.2659467413892.65354385913918
0.91154.0634187148092.52509252321693
0.92154.8405017102312.30588707387339
0.93155.5902569936162.03434838087233
0.94156.3303574118811.78458506981507
0.95157.1142770123851.66061550335191
0.96158.0338803321961.75386913837431
0.97159.1953000613362.06521004114395
0.98160.633077810712.51143103950758
0.99162.1455608603592.99442276238085


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')