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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 computationMon, 07 Oct 2013 02:32:15 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/07/t1381127554lf7sgn3i9ph664n.htm/, Retrieved Fri, 03 May 2024 11:19:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213515, Retrieved Fri, 03 May 2024 11:19:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact162

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] [] [2013-10-07 06:32:15] [818da16b08b21220aa14002c9e16e6e1] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
85,73
85,73
85,74
86,32
87,59
87,81
87,87
87,94
87,96
88,01
88,01
88,01
88,01
88,01
88,59
89,43
89,63
89,73
89,88
89,89
89,9
89,91
89,86
90,07
90,17
90,17
90,28
90,87
92,05
92,1
92,16
92,22
92,25
92,29
92,29
92,29
92,29
92,29
91,95
91,82
92,16
92,31
92,33
92,4
92,54
92,49
92,54
92,58
92,58
92,39
92,33
93,59
95,51
95,99
96,22
97,2
98,54
99,64
100,23
100,17

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213515&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]3 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=213515&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213515&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0185.74881632174020.0677812665506615
0.0285.80586619640820.212257098176334
0.0385.9185425933010.408947097250179
0.0486.09252576775320.606995973333677
0.0586.3188798661420.755854520093692
0.0686.57736044102440.825803548177437
0.0786.84326609397780.813882952031114
0.0887.09428982163710.737987051497965
0.0987.31494635682120.625471722386099
0.187.4979238028190.50296740974092
0.1187.64304771621420.390600226923096
0.1287.75506549457910.300611688135585
0.1387.84131530622420.238969443986413
0.1487.90989778950840.208187373613062
0.1587.96852702113730.207666020865613
0.1688.02395361190220.233586253966908
0.1788.08174638962180.279849989566568
0.1888.14623724861480.340811230511779
0.1988.2205082589790.410751761579833
0.288.306378750190.484198794628542
0.2188.40440488996060.555134037160555
0.2288.51392764810250.617723310254544
0.2388.63320179224530.666830540837999
0.2488.75961901727050.698920175600145
0.2588.89001350322060.711882537777627
0.2689.02101710891990.705858486202774
0.2789.14941959392790.682593789524216
0.2889.27248852437280.645837558593038
0.2989.38821242215240.599785759773052
0.389.49544568323520.549905595613935
0.3189.59395046408210.501415917185924
0.3289.68434525002130.459108664206726
0.3389.76797966837450.427414146211223
0.3489.84675946802420.409624748194061
0.3589.92294512731620.407795649829877
0.3689.99894390506640.422129970871111
0.3790.07711024408610.451097808325954
0.3890.15956491355780.492268956037313
0.3990.24804011195560.54194569092771
0.490.34375614195510.596480036202947
0.4190.44733474840310.651939247572019
0.4290.55875393504170.70412390270525
0.4390.67734816360250.749333258955087
0.4490.80185568203730.784140544989333
0.4590.93051119440710.805799969066277
0.4691.0611775661080.812584977404496
0.4791.19150556817190.803786572832794
0.4891.31910681376990.779720877909152
0.4991.44172295839590.741822579559162
0.591.55737451681870.692412450520486
0.5191.66447539085190.634161710705393
0.5291.76190397013180.570369955219904
0.5391.84902760859670.504089266030999
0.5491.92568332189440.438303825812419
0.5591.99212265823590.375365138174887
0.5692.04893208648290.317176109857732
0.5792.09694154040650.265007395619087
0.5892.13713301493360.219399440831032
0.5992.17055875858540.180553729623188
0.692.19827530842380.148259990933903
0.6192.22129609568290.12210410453321
0.6292.24056224883110.101370958430531
0.6392.25692898024230.0855200072853335
0.6492.27116377471230.0740274596937977
0.6592.28395250244970.0663928859167276
0.6692.29591040428460.0621656733761988
0.6792.30759641264920.0612488017852747
0.6892.31953122621020.0630154691376616
0.6992.33222169143210.0673372929095588
0.792.34619606587390.0741098011724358
0.7192.36205624032840.0834183189725523
0.7292.38055338292020.0959611719029114
0.7392.40269191605680.112790037475321
0.7492.4298622924240.135972480515517
0.7592.46399490739320.168317563529827
0.7692.50771557908060.213418155819591
0.7792.56446866563430.275295008130514
0.7892.63856048444910.357823310493236
0.7992.73506897499130.463646005531577
0.892.85957277010340.593868506537087
0.8193.01768058213910.746580315069955
0.8293.21439224163790.91611031831956
0.8393.45338928198061.0932839776928
0.8493.73641732802741.26593858211283
0.8594.06295572849291.42074665511695
0.8694.43033983725871.54596218102636
0.8794.83438756569141.6343744572472
0.8895.2703930621881.68570281447925
0.8995.73413748043111.70666275896859
0.996.22241975625531.70812515287283
0.9196.73263174906361.69929413524748
0.9297.26115979015831.68054847686805
0.9397.80087084962631.6395535423982
0.9498.33850828555611.55419437918242
0.9598.85326587040341.40127967539191
0.9699.31789455113551.16856174808696
0.9799.70322925904390.86552905654536
0.9899.9858937563010.530415252979789
0.99100.1572527246040.231197351372567

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 85.7488163217402 & 0.0677812665506615 \tabularnewline
0.02 & 85.8058661964082 & 0.212257098176334 \tabularnewline
0.03 & 85.918542593301 & 0.408947097250179 \tabularnewline
0.04 & 86.0925257677532 & 0.606995973333677 \tabularnewline
0.05 & 86.318879866142 & 0.755854520093692 \tabularnewline
0.06 & 86.5773604410244 & 0.825803548177437 \tabularnewline
0.07 & 86.8432660939778 & 0.813882952031114 \tabularnewline
0.08 & 87.0942898216371 & 0.737987051497965 \tabularnewline
0.09 & 87.3149463568212 & 0.625471722386099 \tabularnewline
0.1 & 87.497923802819 & 0.50296740974092 \tabularnewline
0.11 & 87.6430477162142 & 0.390600226923096 \tabularnewline
0.12 & 87.7550654945791 & 0.300611688135585 \tabularnewline
0.13 & 87.8413153062242 & 0.238969443986413 \tabularnewline
0.14 & 87.9098977895084 & 0.208187373613062 \tabularnewline
0.15 & 87.9685270211373 & 0.207666020865613 \tabularnewline
0.16 & 88.0239536119022 & 0.233586253966908 \tabularnewline
0.17 & 88.0817463896218 & 0.279849989566568 \tabularnewline
0.18 & 88.1462372486148 & 0.340811230511779 \tabularnewline
0.19 & 88.220508258979 & 0.410751761579833 \tabularnewline
0.2 & 88.30637875019 & 0.484198794628542 \tabularnewline
0.21 & 88.4044048899606 & 0.555134037160555 \tabularnewline
0.22 & 88.5139276481025 & 0.617723310254544 \tabularnewline
0.23 & 88.6332017922453 & 0.666830540837999 \tabularnewline
0.24 & 88.7596190172705 & 0.698920175600145 \tabularnewline
0.25 & 88.8900135032206 & 0.711882537777627 \tabularnewline
0.26 & 89.0210171089199 & 0.705858486202774 \tabularnewline
0.27 & 89.1494195939279 & 0.682593789524216 \tabularnewline
0.28 & 89.2724885243728 & 0.645837558593038 \tabularnewline
0.29 & 89.3882124221524 & 0.599785759773052 \tabularnewline
0.3 & 89.4954456832352 & 0.549905595613935 \tabularnewline
0.31 & 89.5939504640821 & 0.501415917185924 \tabularnewline
0.32 & 89.6843452500213 & 0.459108664206726 \tabularnewline
0.33 & 89.7679796683745 & 0.427414146211223 \tabularnewline
0.34 & 89.8467594680242 & 0.409624748194061 \tabularnewline
0.35 & 89.9229451273162 & 0.407795649829877 \tabularnewline
0.36 & 89.9989439050664 & 0.422129970871111 \tabularnewline
0.37 & 90.0771102440861 & 0.451097808325954 \tabularnewline
0.38 & 90.1595649135578 & 0.492268956037313 \tabularnewline
0.39 & 90.2480401119556 & 0.54194569092771 \tabularnewline
0.4 & 90.3437561419551 & 0.596480036202947 \tabularnewline
0.41 & 90.4473347484031 & 0.651939247572019 \tabularnewline
0.42 & 90.5587539350417 & 0.70412390270525 \tabularnewline
0.43 & 90.6773481636025 & 0.749333258955087 \tabularnewline
0.44 & 90.8018556820373 & 0.784140544989333 \tabularnewline
0.45 & 90.9305111944071 & 0.805799969066277 \tabularnewline
0.46 & 91.061177566108 & 0.812584977404496 \tabularnewline
0.47 & 91.1915055681719 & 0.803786572832794 \tabularnewline
0.48 & 91.3191068137699 & 0.779720877909152 \tabularnewline
0.49 & 91.4417229583959 & 0.741822579559162 \tabularnewline
0.5 & 91.5573745168187 & 0.692412450520486 \tabularnewline
0.51 & 91.6644753908519 & 0.634161710705393 \tabularnewline
0.52 & 91.7619039701318 & 0.570369955219904 \tabularnewline
0.53 & 91.8490276085967 & 0.504089266030999 \tabularnewline
0.54 & 91.9256833218944 & 0.438303825812419 \tabularnewline
0.55 & 91.9921226582359 & 0.375365138174887 \tabularnewline
0.56 & 92.0489320864829 & 0.317176109857732 \tabularnewline
0.57 & 92.0969415404065 & 0.265007395619087 \tabularnewline
0.58 & 92.1371330149336 & 0.219399440831032 \tabularnewline
0.59 & 92.1705587585854 & 0.180553729623188 \tabularnewline
0.6 & 92.1982753084238 & 0.148259990933903 \tabularnewline
0.61 & 92.2212960956829 & 0.12210410453321 \tabularnewline
0.62 & 92.2405622488311 & 0.101370958430531 \tabularnewline
0.63 & 92.2569289802423 & 0.0855200072853335 \tabularnewline
0.64 & 92.2711637747123 & 0.0740274596937977 \tabularnewline
0.65 & 92.2839525024497 & 0.0663928859167276 \tabularnewline
0.66 & 92.2959104042846 & 0.0621656733761988 \tabularnewline
0.67 & 92.3075964126492 & 0.0612488017852747 \tabularnewline
0.68 & 92.3195312262102 & 0.0630154691376616 \tabularnewline
0.69 & 92.3322216914321 & 0.0673372929095588 \tabularnewline
0.7 & 92.3461960658739 & 0.0741098011724358 \tabularnewline
0.71 & 92.3620562403284 & 0.0834183189725523 \tabularnewline
0.72 & 92.3805533829202 & 0.0959611719029114 \tabularnewline
0.73 & 92.4026919160568 & 0.112790037475321 \tabularnewline
0.74 & 92.429862292424 & 0.135972480515517 \tabularnewline
0.75 & 92.4639949073932 & 0.168317563529827 \tabularnewline
0.76 & 92.5077155790806 & 0.213418155819591 \tabularnewline
0.77 & 92.5644686656343 & 0.275295008130514 \tabularnewline
0.78 & 92.6385604844491 & 0.357823310493236 \tabularnewline
0.79 & 92.7350689749913 & 0.463646005531577 \tabularnewline
0.8 & 92.8595727701034 & 0.593868506537087 \tabularnewline
0.81 & 93.0176805821391 & 0.746580315069955 \tabularnewline
0.82 & 93.2143922416379 & 0.91611031831956 \tabularnewline
0.83 & 93.4533892819806 & 1.0932839776928 \tabularnewline
0.84 & 93.7364173280274 & 1.26593858211283 \tabularnewline
0.85 & 94.0629557284929 & 1.42074665511695 \tabularnewline
0.86 & 94.4303398372587 & 1.54596218102636 \tabularnewline
0.87 & 94.8343875656914 & 1.6343744572472 \tabularnewline
0.88 & 95.270393062188 & 1.68570281447925 \tabularnewline
0.89 & 95.7341374804311 & 1.70666275896859 \tabularnewline
0.9 & 96.2224197562553 & 1.70812515287283 \tabularnewline
0.91 & 96.7326317490636 & 1.69929413524748 \tabularnewline
0.92 & 97.2611597901583 & 1.68054847686805 \tabularnewline
0.93 & 97.8008708496263 & 1.6395535423982 \tabularnewline
0.94 & 98.3385082855561 & 1.55419437918242 \tabularnewline
0.95 & 98.8532658704034 & 1.40127967539191 \tabularnewline
0.96 & 99.3178945511355 & 1.16856174808696 \tabularnewline
0.97 & 99.7032292590439 & 0.86552905654536 \tabularnewline
0.98 & 99.985893756301 & 0.530415252979789 \tabularnewline
0.99 & 100.157252724604 & 0.231197351372567 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213515&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]85.7488163217402[/C][C]0.0677812665506615[/C][/ROW]
[ROW][C]0.02[/C][C]85.8058661964082[/C][C]0.212257098176334[/C][/ROW]
[ROW][C]0.03[/C][C]85.918542593301[/C][C]0.408947097250179[/C][/ROW]
[ROW][C]0.04[/C][C]86.0925257677532[/C][C]0.606995973333677[/C][/ROW]
[ROW][C]0.05[/C][C]86.318879866142[/C][C]0.755854520093692[/C][/ROW]
[ROW][C]0.06[/C][C]86.5773604410244[/C][C]0.825803548177437[/C][/ROW]
[ROW][C]0.07[/C][C]86.8432660939778[/C][C]0.813882952031114[/C][/ROW]
[ROW][C]0.08[/C][C]87.0942898216371[/C][C]0.737987051497965[/C][/ROW]
[ROW][C]0.09[/C][C]87.3149463568212[/C][C]0.625471722386099[/C][/ROW]
[ROW][C]0.1[/C][C]87.497923802819[/C][C]0.50296740974092[/C][/ROW]
[ROW][C]0.11[/C][C]87.6430477162142[/C][C]0.390600226923096[/C][/ROW]
[ROW][C]0.12[/C][C]87.7550654945791[/C][C]0.300611688135585[/C][/ROW]
[ROW][C]0.13[/C][C]87.8413153062242[/C][C]0.238969443986413[/C][/ROW]
[ROW][C]0.14[/C][C]87.9098977895084[/C][C]0.208187373613062[/C][/ROW]
[ROW][C]0.15[/C][C]87.9685270211373[/C][C]0.207666020865613[/C][/ROW]
[ROW][C]0.16[/C][C]88.0239536119022[/C][C]0.233586253966908[/C][/ROW]
[ROW][C]0.17[/C][C]88.0817463896218[/C][C]0.279849989566568[/C][/ROW]
[ROW][C]0.18[/C][C]88.1462372486148[/C][C]0.340811230511779[/C][/ROW]
[ROW][C]0.19[/C][C]88.220508258979[/C][C]0.410751761579833[/C][/ROW]
[ROW][C]0.2[/C][C]88.30637875019[/C][C]0.484198794628542[/C][/ROW]
[ROW][C]0.21[/C][C]88.4044048899606[/C][C]0.555134037160555[/C][/ROW]
[ROW][C]0.22[/C][C]88.5139276481025[/C][C]0.617723310254544[/C][/ROW]
[ROW][C]0.23[/C][C]88.6332017922453[/C][C]0.666830540837999[/C][/ROW]
[ROW][C]0.24[/C][C]88.7596190172705[/C][C]0.698920175600145[/C][/ROW]
[ROW][C]0.25[/C][C]88.8900135032206[/C][C]0.711882537777627[/C][/ROW]
[ROW][C]0.26[/C][C]89.0210171089199[/C][C]0.705858486202774[/C][/ROW]
[ROW][C]0.27[/C][C]89.1494195939279[/C][C]0.682593789524216[/C][/ROW]
[ROW][C]0.28[/C][C]89.2724885243728[/C][C]0.645837558593038[/C][/ROW]
[ROW][C]0.29[/C][C]89.3882124221524[/C][C]0.599785759773052[/C][/ROW]
[ROW][C]0.3[/C][C]89.4954456832352[/C][C]0.549905595613935[/C][/ROW]
[ROW][C]0.31[/C][C]89.5939504640821[/C][C]0.501415917185924[/C][/ROW]
[ROW][C]0.32[/C][C]89.6843452500213[/C][C]0.459108664206726[/C][/ROW]
[ROW][C]0.33[/C][C]89.7679796683745[/C][C]0.427414146211223[/C][/ROW]
[ROW][C]0.34[/C][C]89.8467594680242[/C][C]0.409624748194061[/C][/ROW]
[ROW][C]0.35[/C][C]89.9229451273162[/C][C]0.407795649829877[/C][/ROW]
[ROW][C]0.36[/C][C]89.9989439050664[/C][C]0.422129970871111[/C][/ROW]
[ROW][C]0.37[/C][C]90.0771102440861[/C][C]0.451097808325954[/C][/ROW]
[ROW][C]0.38[/C][C]90.1595649135578[/C][C]0.492268956037313[/C][/ROW]
[ROW][C]0.39[/C][C]90.2480401119556[/C][C]0.54194569092771[/C][/ROW]
[ROW][C]0.4[/C][C]90.3437561419551[/C][C]0.596480036202947[/C][/ROW]
[ROW][C]0.41[/C][C]90.4473347484031[/C][C]0.651939247572019[/C][/ROW]
[ROW][C]0.42[/C][C]90.5587539350417[/C][C]0.70412390270525[/C][/ROW]
[ROW][C]0.43[/C][C]90.6773481636025[/C][C]0.749333258955087[/C][/ROW]
[ROW][C]0.44[/C][C]90.8018556820373[/C][C]0.784140544989333[/C][/ROW]
[ROW][C]0.45[/C][C]90.9305111944071[/C][C]0.805799969066277[/C][/ROW]
[ROW][C]0.46[/C][C]91.061177566108[/C][C]0.812584977404496[/C][/ROW]
[ROW][C]0.47[/C][C]91.1915055681719[/C][C]0.803786572832794[/C][/ROW]
[ROW][C]0.48[/C][C]91.3191068137699[/C][C]0.779720877909152[/C][/ROW]
[ROW][C]0.49[/C][C]91.4417229583959[/C][C]0.741822579559162[/C][/ROW]
[ROW][C]0.5[/C][C]91.5573745168187[/C][C]0.692412450520486[/C][/ROW]
[ROW][C]0.51[/C][C]91.6644753908519[/C][C]0.634161710705393[/C][/ROW]
[ROW][C]0.52[/C][C]91.7619039701318[/C][C]0.570369955219904[/C][/ROW]
[ROW][C]0.53[/C][C]91.8490276085967[/C][C]0.504089266030999[/C][/ROW]
[ROW][C]0.54[/C][C]91.9256833218944[/C][C]0.438303825812419[/C][/ROW]
[ROW][C]0.55[/C][C]91.9921226582359[/C][C]0.375365138174887[/C][/ROW]
[ROW][C]0.56[/C][C]92.0489320864829[/C][C]0.317176109857732[/C][/ROW]
[ROW][C]0.57[/C][C]92.0969415404065[/C][C]0.265007395619087[/C][/ROW]
[ROW][C]0.58[/C][C]92.1371330149336[/C][C]0.219399440831032[/C][/ROW]
[ROW][C]0.59[/C][C]92.1705587585854[/C][C]0.180553729623188[/C][/ROW]
[ROW][C]0.6[/C][C]92.1982753084238[/C][C]0.148259990933903[/C][/ROW]
[ROW][C]0.61[/C][C]92.2212960956829[/C][C]0.12210410453321[/C][/ROW]
[ROW][C]0.62[/C][C]92.2405622488311[/C][C]0.101370958430531[/C][/ROW]
[ROW][C]0.63[/C][C]92.2569289802423[/C][C]0.0855200072853335[/C][/ROW]
[ROW][C]0.64[/C][C]92.2711637747123[/C][C]0.0740274596937977[/C][/ROW]
[ROW][C]0.65[/C][C]92.2839525024497[/C][C]0.0663928859167276[/C][/ROW]
[ROW][C]0.66[/C][C]92.2959104042846[/C][C]0.0621656733761988[/C][/ROW]
[ROW][C]0.67[/C][C]92.3075964126492[/C][C]0.0612488017852747[/C][/ROW]
[ROW][C]0.68[/C][C]92.3195312262102[/C][C]0.0630154691376616[/C][/ROW]
[ROW][C]0.69[/C][C]92.3322216914321[/C][C]0.0673372929095588[/C][/ROW]
[ROW][C]0.7[/C][C]92.3461960658739[/C][C]0.0741098011724358[/C][/ROW]
[ROW][C]0.71[/C][C]92.3620562403284[/C][C]0.0834183189725523[/C][/ROW]
[ROW][C]0.72[/C][C]92.3805533829202[/C][C]0.0959611719029114[/C][/ROW]
[ROW][C]0.73[/C][C]92.4026919160568[/C][C]0.112790037475321[/C][/ROW]
[ROW][C]0.74[/C][C]92.429862292424[/C][C]0.135972480515517[/C][/ROW]
[ROW][C]0.75[/C][C]92.4639949073932[/C][C]0.168317563529827[/C][/ROW]
[ROW][C]0.76[/C][C]92.5077155790806[/C][C]0.213418155819591[/C][/ROW]
[ROW][C]0.77[/C][C]92.5644686656343[/C][C]0.275295008130514[/C][/ROW]
[ROW][C]0.78[/C][C]92.6385604844491[/C][C]0.357823310493236[/C][/ROW]
[ROW][C]0.79[/C][C]92.7350689749913[/C][C]0.463646005531577[/C][/ROW]
[ROW][C]0.8[/C][C]92.8595727701034[/C][C]0.593868506537087[/C][/ROW]
[ROW][C]0.81[/C][C]93.0176805821391[/C][C]0.746580315069955[/C][/ROW]
[ROW][C]0.82[/C][C]93.2143922416379[/C][C]0.91611031831956[/C][/ROW]
[ROW][C]0.83[/C][C]93.4533892819806[/C][C]1.0932839776928[/C][/ROW]
[ROW][C]0.84[/C][C]93.7364173280274[/C][C]1.26593858211283[/C][/ROW]
[ROW][C]0.85[/C][C]94.0629557284929[/C][C]1.42074665511695[/C][/ROW]
[ROW][C]0.86[/C][C]94.4303398372587[/C][C]1.54596218102636[/C][/ROW]
[ROW][C]0.87[/C][C]94.8343875656914[/C][C]1.6343744572472[/C][/ROW]
[ROW][C]0.88[/C][C]95.270393062188[/C][C]1.68570281447925[/C][/ROW]
[ROW][C]0.89[/C][C]95.7341374804311[/C][C]1.70666275896859[/C][/ROW]
[ROW][C]0.9[/C][C]96.2224197562553[/C][C]1.70812515287283[/C][/ROW]
[ROW][C]0.91[/C][C]96.7326317490636[/C][C]1.69929413524748[/C][/ROW]
[ROW][C]0.92[/C][C]97.2611597901583[/C][C]1.68054847686805[/C][/ROW]
[ROW][C]0.93[/C][C]97.8008708496263[/C][C]1.6395535423982[/C][/ROW]
[ROW][C]0.94[/C][C]98.3385082855561[/C][C]1.55419437918242[/C][/ROW]
[ROW][C]0.95[/C][C]98.8532658704034[/C][C]1.40127967539191[/C][/ROW]
[ROW][C]0.96[/C][C]99.3178945511355[/C][C]1.16856174808696[/C][/ROW]
[ROW][C]0.97[/C][C]99.7032292590439[/C][C]0.86552905654536[/C][/ROW]
[ROW][C]0.98[/C][C]99.985893756301[/C][C]0.530415252979789[/C][/ROW]
[ROW][C]0.99[/C][C]100.157252724604[/C][C]0.231197351372567[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213515&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213515&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
0.0185.74881632174020.0677812665506615
0.0285.80586619640820.212257098176334
0.0385.9185425933010.408947097250179
0.0486.09252576775320.606995973333677
0.0586.3188798661420.755854520093692
0.0686.57736044102440.825803548177437
0.0786.84326609397780.813882952031114
0.0887.09428982163710.737987051497965
0.0987.31494635682120.625471722386099
0.187.4979238028190.50296740974092
0.1187.64304771621420.390600226923096
0.1287.75506549457910.300611688135585
0.1387.84131530622420.238969443986413
0.1487.90989778950840.208187373613062
0.1587.96852702113730.207666020865613
0.1688.02395361190220.233586253966908
0.1788.08174638962180.279849989566568
0.1888.14623724861480.340811230511779
0.1988.2205082589790.410751761579833
0.288.306378750190.484198794628542
0.2188.40440488996060.555134037160555
0.2288.51392764810250.617723310254544
0.2388.63320179224530.666830540837999
0.2488.75961901727050.698920175600145
0.2588.89001350322060.711882537777627
0.2689.02101710891990.705858486202774
0.2789.14941959392790.682593789524216
0.2889.27248852437280.645837558593038
0.2989.38821242215240.599785759773052
0.389.49544568323520.549905595613935
0.3189.59395046408210.501415917185924
0.3289.68434525002130.459108664206726
0.3389.76797966837450.427414146211223
0.3489.84675946802420.409624748194061
0.3589.92294512731620.407795649829877
0.3689.99894390506640.422129970871111
0.3790.07711024408610.451097808325954
0.3890.15956491355780.492268956037313
0.3990.24804011195560.54194569092771
0.490.34375614195510.596480036202947
0.4190.44733474840310.651939247572019
0.4290.55875393504170.70412390270525
0.4390.67734816360250.749333258955087
0.4490.80185568203730.784140544989333
0.4590.93051119440710.805799969066277
0.4691.0611775661080.812584977404496
0.4791.19150556817190.803786572832794
0.4891.31910681376990.779720877909152
0.4991.44172295839590.741822579559162
0.591.55737451681870.692412450520486
0.5191.66447539085190.634161710705393
0.5291.76190397013180.570369955219904
0.5391.84902760859670.504089266030999
0.5491.92568332189440.438303825812419
0.5591.99212265823590.375365138174887
0.5692.04893208648290.317176109857732
0.5792.09694154040650.265007395619087
0.5892.13713301493360.219399440831032
0.5992.17055875858540.180553729623188
0.692.19827530842380.148259990933903
0.6192.22129609568290.12210410453321
0.6292.24056224883110.101370958430531
0.6392.25692898024230.0855200072853335
0.6492.27116377471230.0740274596937977
0.6592.28395250244970.0663928859167276
0.6692.29591040428460.0621656733761988
0.6792.30759641264920.0612488017852747
0.6892.31953122621020.0630154691376616
0.6992.33222169143210.0673372929095588
0.792.34619606587390.0741098011724358
0.7192.36205624032840.0834183189725523
0.7292.38055338292020.0959611719029114
0.7392.40269191605680.112790037475321
0.7492.4298622924240.135972480515517
0.7592.46399490739320.168317563529827
0.7692.50771557908060.213418155819591
0.7792.56446866563430.275295008130514
0.7892.63856048444910.357823310493236
0.7992.73506897499130.463646005531577
0.892.85957277010340.593868506537087
0.8193.01768058213910.746580315069955
0.8293.21439224163790.91611031831956
0.8393.45338928198061.0932839776928
0.8493.73641732802741.26593858211283
0.8594.06295572849291.42074665511695
0.8694.43033983725871.54596218102636
0.8794.83438756569141.6343744572472
0.8895.2703930621881.68570281447925
0.8995.73413748043111.70666275896859
0.996.22241975625531.70812515287283
0.9196.73263174906361.69929413524748
0.9297.26115979015831.68054847686805
0.9397.80087084962631.6395535423982
0.9498.33850828555611.55419437918242
0.9598.85326587040341.40127967539191
0.9699.31789455113551.16856174808696
0.9799.70322925904390.86552905654536
0.9899.9858937563010.530415252979789
0.99100.1572527246040.231197351372567


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')