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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, 29 Jul 2010 11:44:27 +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/2010/Jul/29/t1280404086my9nym60k5bzorz.htm/, Retrieved Sun, 28 Apr 2024 22:55:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78163, Retrieved Sun, 28 Apr 2024 22:55:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsHoes Isabelle
Estimated Impact176

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] [TIJDREEKS B - STAP 7] [2010-07-28 10:57:21] [0b48553e7c30a6637a1907066e9be3d4]
-         [Harrell-Davis Quantiles] [TIJDREEKS B - STAP 7] [2010-07-29 11:44:27] [35611de12c9fa8a4a915f3548e0dcd01] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
158
157
156
154
152
151
152
154
155
155
156
158
156
152
145
141
140
145
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141
144
139
141
142
141
132
122
122
127
128
122
123
128
128
128
129
124
121
109
110
107
107
104
110
114
118
117
122
113
106
102
111
106
110
105
104
106
110
107
111
101
105
108
124
122
128
124
121
125
134
126
126
111
117
118
128
127
129
124
113
120
127
114
107

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78163&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78163&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78163&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01101.5160127995001.18108230873294
0.02102.3389201517041.32411992710257
0.03103.1735489836801.23684559970361
0.04103.8779379086151.06920598207508
0.05104.4406305993230.956048791257599
0.06104.8988116501200.901557818747078
0.07105.2897822792310.872131693421315
0.08105.6380701629070.854765325786408
0.09105.9589033537850.853799829256651
0.1106.2637891375020.8776322327745
0.11106.5632675381220.932007834558633
0.12106.8670761107511.01608948596037
0.13107.1831180927381.12190509617592
0.14107.5162979682551.23566645479148
0.15107.8678810539841.34115042201900
0.16108.2357414567991.42590836087046
0.17108.6155427027931.48497453410737
0.18109.0025402604671.52285231013940
0.19109.3934446302061.55280232622537
0.2109.7877639835321.59243150037777
0.21110.1882575033041.65829825219524
0.22110.6004567308671.76092341640168
0.23111.0315000104511.90261184209887
0.24111.4886724267022.07792010247550
0.25111.9780332659452.27554708966297
0.26112.5033946313552.48230043571826
0.27113.0657618060292.68404420621451
0.28113.6632176334192.86771917549342
0.29114.291157701223.02165091936819
0.3114.9427598973353.13730711014107
0.31115.6095842200973.20831043418341
0.32116.2822264922143.23140847096534
0.33116.9509772838453.20621616877234
0.34117.6064562826343.13518105393802
0.35118.2402000677963.02363739828844
0.36118.8451795972942.87900328426121
0.37119.4162172943002.71086494861964
0.38119.9502683587642.53033338101906
0.39120.446532480682.34876488210995
0.4120.9063739534982.17757519715380
0.41121.3330499759532.02626282412849
0.42121.731274243361.90232813311522
0.43122.1066684917441.80967756549028
0.44122.4651710450631.74859530733833
0.45122.8124739888351.71596406330816
0.46123.1535493614461.70651522961018
0.47123.4923042841491.71311178718692
0.48123.8313823805151.72857370982926
0.49124.1721109325331.74569929881321
0.5124.5145838105371.75851108076495
0.51124.8578690489921.76206221127420
0.52125.2003332969011.75342726827169
0.53125.5400778906901.73189936183464
0.54125.8754781117781.69965535756857
0.55126.2058054905141.66219430184139
0.56126.5318926916971.62866050439524
0.57126.8567740709491.61239511288351
0.58127.1862072198551.63001733003359
0.59127.5289585516901.70014474715623
0.6127.8967277854521.83996100285124
0.61128.3036014623912.06094628760756
0.62128.7649724775882.36553984469115
0.63129.2959443324882.74559288985239
0.64129.909349798523.18150831973974
0.65130.6136363661643.64448548204532
0.66131.4109759595824.09722114781505
0.67132.2960080940374.49935664881653
0.68133.2555917167944.81201563463203
0.69134.2698055961705.00424994919911
0.7135.3142118144795.05944954911489
0.71136.3631240614614.97804650284395
0.72137.3933677005344.78032929406597
0.73138.387852607634.50272243288151
0.74139.3382546349274.19427508344705
0.75140.2462318167933.90830371161391
0.76141.1228591241083.69329893594675
0.77141.9862923289433.58339201713239
0.78142.8580020378423.58814447413379
0.79143.7582014831803.69005291291788
0.8144.7012922332943.84860119733898
0.81145.6922397953994.01028021364486
0.82146.7247211564744.12047937448176
0.83147.7816054363644.13411387531855
0.84148.8378198394874.02511391993611
0.85149.8649979229583.79175180275664
0.86150.8367142454963.45643722366443
0.87151.7328520259613.05804956523769
0.88152.5419217163682.64053467868915
0.89153.2609221011432.24040200992747
0.9153.8933470429821.87917704762673
0.91154.4468071298131.56338236751253
0.92154.9320708641951.29171767764672
0.93155.3647012547061.06674515367635
0.94155.7683314424030.90548454801073
0.95156.1748924493940.837246353361593
0.96156.6138669171140.859797896858967
0.97157.0861561130730.880105327779457
0.98157.5362646921540.741690903057903
0.99157.8629880996190.374893098658590

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 101.516012799500 & 1.18108230873294 \tabularnewline
0.02 & 102.338920151704 & 1.32411992710257 \tabularnewline
0.03 & 103.173548983680 & 1.23684559970361 \tabularnewline
0.04 & 103.877937908615 & 1.06920598207508 \tabularnewline
0.05 & 104.440630599323 & 0.956048791257599 \tabularnewline
0.06 & 104.898811650120 & 0.901557818747078 \tabularnewline
0.07 & 105.289782279231 & 0.872131693421315 \tabularnewline
0.08 & 105.638070162907 & 0.854765325786408 \tabularnewline
0.09 & 105.958903353785 & 0.853799829256651 \tabularnewline
0.1 & 106.263789137502 & 0.8776322327745 \tabularnewline
0.11 & 106.563267538122 & 0.932007834558633 \tabularnewline
0.12 & 106.867076110751 & 1.01608948596037 \tabularnewline
0.13 & 107.183118092738 & 1.12190509617592 \tabularnewline
0.14 & 107.516297968255 & 1.23566645479148 \tabularnewline
0.15 & 107.867881053984 & 1.34115042201900 \tabularnewline
0.16 & 108.235741456799 & 1.42590836087046 \tabularnewline
0.17 & 108.615542702793 & 1.48497453410737 \tabularnewline
0.18 & 109.002540260467 & 1.52285231013940 \tabularnewline
0.19 & 109.393444630206 & 1.55280232622537 \tabularnewline
0.2 & 109.787763983532 & 1.59243150037777 \tabularnewline
0.21 & 110.188257503304 & 1.65829825219524 \tabularnewline
0.22 & 110.600456730867 & 1.76092341640168 \tabularnewline
0.23 & 111.031500010451 & 1.90261184209887 \tabularnewline
0.24 & 111.488672426702 & 2.07792010247550 \tabularnewline
0.25 & 111.978033265945 & 2.27554708966297 \tabularnewline
0.26 & 112.503394631355 & 2.48230043571826 \tabularnewline
0.27 & 113.065761806029 & 2.68404420621451 \tabularnewline
0.28 & 113.663217633419 & 2.86771917549342 \tabularnewline
0.29 & 114.29115770122 & 3.02165091936819 \tabularnewline
0.3 & 114.942759897335 & 3.13730711014107 \tabularnewline
0.31 & 115.609584220097 & 3.20831043418341 \tabularnewline
0.32 & 116.282226492214 & 3.23140847096534 \tabularnewline
0.33 & 116.950977283845 & 3.20621616877234 \tabularnewline
0.34 & 117.606456282634 & 3.13518105393802 \tabularnewline
0.35 & 118.240200067796 & 3.02363739828844 \tabularnewline
0.36 & 118.845179597294 & 2.87900328426121 \tabularnewline
0.37 & 119.416217294300 & 2.71086494861964 \tabularnewline
0.38 & 119.950268358764 & 2.53033338101906 \tabularnewline
0.39 & 120.44653248068 & 2.34876488210995 \tabularnewline
0.4 & 120.906373953498 & 2.17757519715380 \tabularnewline
0.41 & 121.333049975953 & 2.02626282412849 \tabularnewline
0.42 & 121.73127424336 & 1.90232813311522 \tabularnewline
0.43 & 122.106668491744 & 1.80967756549028 \tabularnewline
0.44 & 122.465171045063 & 1.74859530733833 \tabularnewline
0.45 & 122.812473988835 & 1.71596406330816 \tabularnewline
0.46 & 123.153549361446 & 1.70651522961018 \tabularnewline
0.47 & 123.492304284149 & 1.71311178718692 \tabularnewline
0.48 & 123.831382380515 & 1.72857370982926 \tabularnewline
0.49 & 124.172110932533 & 1.74569929881321 \tabularnewline
0.5 & 124.514583810537 & 1.75851108076495 \tabularnewline
0.51 & 124.857869048992 & 1.76206221127420 \tabularnewline
0.52 & 125.200333296901 & 1.75342726827169 \tabularnewline
0.53 & 125.540077890690 & 1.73189936183464 \tabularnewline
0.54 & 125.875478111778 & 1.69965535756857 \tabularnewline
0.55 & 126.205805490514 & 1.66219430184139 \tabularnewline
0.56 & 126.531892691697 & 1.62866050439524 \tabularnewline
0.57 & 126.856774070949 & 1.61239511288351 \tabularnewline
0.58 & 127.186207219855 & 1.63001733003359 \tabularnewline
0.59 & 127.528958551690 & 1.70014474715623 \tabularnewline
0.6 & 127.896727785452 & 1.83996100285124 \tabularnewline
0.61 & 128.303601462391 & 2.06094628760756 \tabularnewline
0.62 & 128.764972477588 & 2.36553984469115 \tabularnewline
0.63 & 129.295944332488 & 2.74559288985239 \tabularnewline
0.64 & 129.90934979852 & 3.18150831973974 \tabularnewline
0.65 & 130.613636366164 & 3.64448548204532 \tabularnewline
0.66 & 131.410975959582 & 4.09722114781505 \tabularnewline
0.67 & 132.296008094037 & 4.49935664881653 \tabularnewline
0.68 & 133.255591716794 & 4.81201563463203 \tabularnewline
0.69 & 134.269805596170 & 5.00424994919911 \tabularnewline
0.7 & 135.314211814479 & 5.05944954911489 \tabularnewline
0.71 & 136.363124061461 & 4.97804650284395 \tabularnewline
0.72 & 137.393367700534 & 4.78032929406597 \tabularnewline
0.73 & 138.38785260763 & 4.50272243288151 \tabularnewline
0.74 & 139.338254634927 & 4.19427508344705 \tabularnewline
0.75 & 140.246231816793 & 3.90830371161391 \tabularnewline
0.76 & 141.122859124108 & 3.69329893594675 \tabularnewline
0.77 & 141.986292328943 & 3.58339201713239 \tabularnewline
0.78 & 142.858002037842 & 3.58814447413379 \tabularnewline
0.79 & 143.758201483180 & 3.69005291291788 \tabularnewline
0.8 & 144.701292233294 & 3.84860119733898 \tabularnewline
0.81 & 145.692239795399 & 4.01028021364486 \tabularnewline
0.82 & 146.724721156474 & 4.12047937448176 \tabularnewline
0.83 & 147.781605436364 & 4.13411387531855 \tabularnewline
0.84 & 148.837819839487 & 4.02511391993611 \tabularnewline
0.85 & 149.864997922958 & 3.79175180275664 \tabularnewline
0.86 & 150.836714245496 & 3.45643722366443 \tabularnewline
0.87 & 151.732852025961 & 3.05804956523769 \tabularnewline
0.88 & 152.541921716368 & 2.64053467868915 \tabularnewline
0.89 & 153.260922101143 & 2.24040200992747 \tabularnewline
0.9 & 153.893347042982 & 1.87917704762673 \tabularnewline
0.91 & 154.446807129813 & 1.56338236751253 \tabularnewline
0.92 & 154.932070864195 & 1.29171767764672 \tabularnewline
0.93 & 155.364701254706 & 1.06674515367635 \tabularnewline
0.94 & 155.768331442403 & 0.90548454801073 \tabularnewline
0.95 & 156.174892449394 & 0.837246353361593 \tabularnewline
0.96 & 156.613866917114 & 0.859797896858967 \tabularnewline
0.97 & 157.086156113073 & 0.880105327779457 \tabularnewline
0.98 & 157.536264692154 & 0.741690903057903 \tabularnewline
0.99 & 157.862988099619 & 0.374893098658590 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78163&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]101.516012799500[/C][C]1.18108230873294[/C][/ROW]
[ROW][C]0.02[/C][C]102.338920151704[/C][C]1.32411992710257[/C][/ROW]
[ROW][C]0.03[/C][C]103.173548983680[/C][C]1.23684559970361[/C][/ROW]
[ROW][C]0.04[/C][C]103.877937908615[/C][C]1.06920598207508[/C][/ROW]
[ROW][C]0.05[/C][C]104.440630599323[/C][C]0.956048791257599[/C][/ROW]
[ROW][C]0.06[/C][C]104.898811650120[/C][C]0.901557818747078[/C][/ROW]
[ROW][C]0.07[/C][C]105.289782279231[/C][C]0.872131693421315[/C][/ROW]
[ROW][C]0.08[/C][C]105.638070162907[/C][C]0.854765325786408[/C][/ROW]
[ROW][C]0.09[/C][C]105.958903353785[/C][C]0.853799829256651[/C][/ROW]
[ROW][C]0.1[/C][C]106.263789137502[/C][C]0.8776322327745[/C][/ROW]
[ROW][C]0.11[/C][C]106.563267538122[/C][C]0.932007834558633[/C][/ROW]
[ROW][C]0.12[/C][C]106.867076110751[/C][C]1.01608948596037[/C][/ROW]
[ROW][C]0.13[/C][C]107.183118092738[/C][C]1.12190509617592[/C][/ROW]
[ROW][C]0.14[/C][C]107.516297968255[/C][C]1.23566645479148[/C][/ROW]
[ROW][C]0.15[/C][C]107.867881053984[/C][C]1.34115042201900[/C][/ROW]
[ROW][C]0.16[/C][C]108.235741456799[/C][C]1.42590836087046[/C][/ROW]
[ROW][C]0.17[/C][C]108.615542702793[/C][C]1.48497453410737[/C][/ROW]
[ROW][C]0.18[/C][C]109.002540260467[/C][C]1.52285231013940[/C][/ROW]
[ROW][C]0.19[/C][C]109.393444630206[/C][C]1.55280232622537[/C][/ROW]
[ROW][C]0.2[/C][C]109.787763983532[/C][C]1.59243150037777[/C][/ROW]
[ROW][C]0.21[/C][C]110.188257503304[/C][C]1.65829825219524[/C][/ROW]
[ROW][C]0.22[/C][C]110.600456730867[/C][C]1.76092341640168[/C][/ROW]
[ROW][C]0.23[/C][C]111.031500010451[/C][C]1.90261184209887[/C][/ROW]
[ROW][C]0.24[/C][C]111.488672426702[/C][C]2.07792010247550[/C][/ROW]
[ROW][C]0.25[/C][C]111.978033265945[/C][C]2.27554708966297[/C][/ROW]
[ROW][C]0.26[/C][C]112.503394631355[/C][C]2.48230043571826[/C][/ROW]
[ROW][C]0.27[/C][C]113.065761806029[/C][C]2.68404420621451[/C][/ROW]
[ROW][C]0.28[/C][C]113.663217633419[/C][C]2.86771917549342[/C][/ROW]
[ROW][C]0.29[/C][C]114.29115770122[/C][C]3.02165091936819[/C][/ROW]
[ROW][C]0.3[/C][C]114.942759897335[/C][C]3.13730711014107[/C][/ROW]
[ROW][C]0.31[/C][C]115.609584220097[/C][C]3.20831043418341[/C][/ROW]
[ROW][C]0.32[/C][C]116.282226492214[/C][C]3.23140847096534[/C][/ROW]
[ROW][C]0.33[/C][C]116.950977283845[/C][C]3.20621616877234[/C][/ROW]
[ROW][C]0.34[/C][C]117.606456282634[/C][C]3.13518105393802[/C][/ROW]
[ROW][C]0.35[/C][C]118.240200067796[/C][C]3.02363739828844[/C][/ROW]
[ROW][C]0.36[/C][C]118.845179597294[/C][C]2.87900328426121[/C][/ROW]
[ROW][C]0.37[/C][C]119.416217294300[/C][C]2.71086494861964[/C][/ROW]
[ROW][C]0.38[/C][C]119.950268358764[/C][C]2.53033338101906[/C][/ROW]
[ROW][C]0.39[/C][C]120.44653248068[/C][C]2.34876488210995[/C][/ROW]
[ROW][C]0.4[/C][C]120.906373953498[/C][C]2.17757519715380[/C][/ROW]
[ROW][C]0.41[/C][C]121.333049975953[/C][C]2.02626282412849[/C][/ROW]
[ROW][C]0.42[/C][C]121.73127424336[/C][C]1.90232813311522[/C][/ROW]
[ROW][C]0.43[/C][C]122.106668491744[/C][C]1.80967756549028[/C][/ROW]
[ROW][C]0.44[/C][C]122.465171045063[/C][C]1.74859530733833[/C][/ROW]
[ROW][C]0.45[/C][C]122.812473988835[/C][C]1.71596406330816[/C][/ROW]
[ROW][C]0.46[/C][C]123.153549361446[/C][C]1.70651522961018[/C][/ROW]
[ROW][C]0.47[/C][C]123.492304284149[/C][C]1.71311178718692[/C][/ROW]
[ROW][C]0.48[/C][C]123.831382380515[/C][C]1.72857370982926[/C][/ROW]
[ROW][C]0.49[/C][C]124.172110932533[/C][C]1.74569929881321[/C][/ROW]
[ROW][C]0.5[/C][C]124.514583810537[/C][C]1.75851108076495[/C][/ROW]
[ROW][C]0.51[/C][C]124.857869048992[/C][C]1.76206221127420[/C][/ROW]
[ROW][C]0.52[/C][C]125.200333296901[/C][C]1.75342726827169[/C][/ROW]
[ROW][C]0.53[/C][C]125.540077890690[/C][C]1.73189936183464[/C][/ROW]
[ROW][C]0.54[/C][C]125.875478111778[/C][C]1.69965535756857[/C][/ROW]
[ROW][C]0.55[/C][C]126.205805490514[/C][C]1.66219430184139[/C][/ROW]
[ROW][C]0.56[/C][C]126.531892691697[/C][C]1.62866050439524[/C][/ROW]
[ROW][C]0.57[/C][C]126.856774070949[/C][C]1.61239511288351[/C][/ROW]
[ROW][C]0.58[/C][C]127.186207219855[/C][C]1.63001733003359[/C][/ROW]
[ROW][C]0.59[/C][C]127.528958551690[/C][C]1.70014474715623[/C][/ROW]
[ROW][C]0.6[/C][C]127.896727785452[/C][C]1.83996100285124[/C][/ROW]
[ROW][C]0.61[/C][C]128.303601462391[/C][C]2.06094628760756[/C][/ROW]
[ROW][C]0.62[/C][C]128.764972477588[/C][C]2.36553984469115[/C][/ROW]
[ROW][C]0.63[/C][C]129.295944332488[/C][C]2.74559288985239[/C][/ROW]
[ROW][C]0.64[/C][C]129.90934979852[/C][C]3.18150831973974[/C][/ROW]
[ROW][C]0.65[/C][C]130.613636366164[/C][C]3.64448548204532[/C][/ROW]
[ROW][C]0.66[/C][C]131.410975959582[/C][C]4.09722114781505[/C][/ROW]
[ROW][C]0.67[/C][C]132.296008094037[/C][C]4.49935664881653[/C][/ROW]
[ROW][C]0.68[/C][C]133.255591716794[/C][C]4.81201563463203[/C][/ROW]
[ROW][C]0.69[/C][C]134.269805596170[/C][C]5.00424994919911[/C][/ROW]
[ROW][C]0.7[/C][C]135.314211814479[/C][C]5.05944954911489[/C][/ROW]
[ROW][C]0.71[/C][C]136.363124061461[/C][C]4.97804650284395[/C][/ROW]
[ROW][C]0.72[/C][C]137.393367700534[/C][C]4.78032929406597[/C][/ROW]
[ROW][C]0.73[/C][C]138.38785260763[/C][C]4.50272243288151[/C][/ROW]
[ROW][C]0.74[/C][C]139.338254634927[/C][C]4.19427508344705[/C][/ROW]
[ROW][C]0.75[/C][C]140.246231816793[/C][C]3.90830371161391[/C][/ROW]
[ROW][C]0.76[/C][C]141.122859124108[/C][C]3.69329893594675[/C][/ROW]
[ROW][C]0.77[/C][C]141.986292328943[/C][C]3.58339201713239[/C][/ROW]
[ROW][C]0.78[/C][C]142.858002037842[/C][C]3.58814447413379[/C][/ROW]
[ROW][C]0.79[/C][C]143.758201483180[/C][C]3.69005291291788[/C][/ROW]
[ROW][C]0.8[/C][C]144.701292233294[/C][C]3.84860119733898[/C][/ROW]
[ROW][C]0.81[/C][C]145.692239795399[/C][C]4.01028021364486[/C][/ROW]
[ROW][C]0.82[/C][C]146.724721156474[/C][C]4.12047937448176[/C][/ROW]
[ROW][C]0.83[/C][C]147.781605436364[/C][C]4.13411387531855[/C][/ROW]
[ROW][C]0.84[/C][C]148.837819839487[/C][C]4.02511391993611[/C][/ROW]
[ROW][C]0.85[/C][C]149.864997922958[/C][C]3.79175180275664[/C][/ROW]
[ROW][C]0.86[/C][C]150.836714245496[/C][C]3.45643722366443[/C][/ROW]
[ROW][C]0.87[/C][C]151.732852025961[/C][C]3.05804956523769[/C][/ROW]
[ROW][C]0.88[/C][C]152.541921716368[/C][C]2.64053467868915[/C][/ROW]
[ROW][C]0.89[/C][C]153.260922101143[/C][C]2.24040200992747[/C][/ROW]
[ROW][C]0.9[/C][C]153.893347042982[/C][C]1.87917704762673[/C][/ROW]
[ROW][C]0.91[/C][C]154.446807129813[/C][C]1.56338236751253[/C][/ROW]
[ROW][C]0.92[/C][C]154.932070864195[/C][C]1.29171767764672[/C][/ROW]
[ROW][C]0.93[/C][C]155.364701254706[/C][C]1.06674515367635[/C][/ROW]
[ROW][C]0.94[/C][C]155.768331442403[/C][C]0.90548454801073[/C][/ROW]
[ROW][C]0.95[/C][C]156.174892449394[/C][C]0.837246353361593[/C][/ROW]
[ROW][C]0.96[/C][C]156.613866917114[/C][C]0.859797896858967[/C][/ROW]
[ROW][C]0.97[/C][C]157.086156113073[/C][C]0.880105327779457[/C][/ROW]
[ROW][C]0.98[/C][C]157.536264692154[/C][C]0.741690903057903[/C][/ROW]
[ROW][C]0.99[/C][C]157.862988099619[/C][C]0.374893098658590[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78163&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78163&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
0.01101.5160127995001.18108230873294
0.02102.3389201517041.32411992710257
0.03103.1735489836801.23684559970361
0.04103.8779379086151.06920598207508
0.05104.4406305993230.956048791257599
0.06104.8988116501200.901557818747078
0.07105.2897822792310.872131693421315
0.08105.6380701629070.854765325786408
0.09105.9589033537850.853799829256651
0.1106.2637891375020.8776322327745
0.11106.5632675381220.932007834558633
0.12106.8670761107511.01608948596037
0.13107.1831180927381.12190509617592
0.14107.5162979682551.23566645479148
0.15107.8678810539841.34115042201900
0.16108.2357414567991.42590836087046
0.17108.6155427027931.48497453410737
0.18109.0025402604671.52285231013940
0.19109.3934446302061.55280232622537
0.2109.7877639835321.59243150037777
0.21110.1882575033041.65829825219524
0.22110.6004567308671.76092341640168
0.23111.0315000104511.90261184209887
0.24111.4886724267022.07792010247550
0.25111.9780332659452.27554708966297
0.26112.5033946313552.48230043571826
0.27113.0657618060292.68404420621451
0.28113.6632176334192.86771917549342
0.29114.291157701223.02165091936819
0.3114.9427598973353.13730711014107
0.31115.6095842200973.20831043418341
0.32116.2822264922143.23140847096534
0.33116.9509772838453.20621616877234
0.34117.6064562826343.13518105393802
0.35118.2402000677963.02363739828844
0.36118.8451795972942.87900328426121
0.37119.4162172943002.71086494861964
0.38119.9502683587642.53033338101906
0.39120.446532480682.34876488210995
0.4120.9063739534982.17757519715380
0.41121.3330499759532.02626282412849
0.42121.731274243361.90232813311522
0.43122.1066684917441.80967756549028
0.44122.4651710450631.74859530733833
0.45122.8124739888351.71596406330816
0.46123.1535493614461.70651522961018
0.47123.4923042841491.71311178718692
0.48123.8313823805151.72857370982926
0.49124.1721109325331.74569929881321
0.5124.5145838105371.75851108076495
0.51124.8578690489921.76206221127420
0.52125.2003332969011.75342726827169
0.53125.5400778906901.73189936183464
0.54125.8754781117781.69965535756857
0.55126.2058054905141.66219430184139
0.56126.5318926916971.62866050439524
0.57126.8567740709491.61239511288351
0.58127.1862072198551.63001733003359
0.59127.5289585516901.70014474715623
0.6127.8967277854521.83996100285124
0.61128.3036014623912.06094628760756
0.62128.7649724775882.36553984469115
0.63129.2959443324882.74559288985239
0.64129.909349798523.18150831973974
0.65130.6136363661643.64448548204532
0.66131.4109759595824.09722114781505
0.67132.2960080940374.49935664881653
0.68133.2555917167944.81201563463203
0.69134.2698055961705.00424994919911
0.7135.3142118144795.05944954911489
0.71136.3631240614614.97804650284395
0.72137.3933677005344.78032929406597
0.73138.387852607634.50272243288151
0.74139.3382546349274.19427508344705
0.75140.2462318167933.90830371161391
0.76141.1228591241083.69329893594675
0.77141.9862923289433.58339201713239
0.78142.8580020378423.58814447413379
0.79143.7582014831803.69005291291788
0.8144.7012922332943.84860119733898
0.81145.6922397953994.01028021364486
0.82146.7247211564744.12047937448176
0.83147.7816054363644.13411387531855
0.84148.8378198394874.02511391993611
0.85149.8649979229583.79175180275664
0.86150.8367142454963.45643722366443
0.87151.7328520259613.05804956523769
0.88152.5419217163682.64053467868915
0.89153.2609221011432.24040200992747
0.9153.8933470429821.87917704762673
0.91154.4468071298131.56338236751253
0.92154.9320708641951.29171767764672
0.93155.3647012547061.06674515367635
0.94155.7683314424030.90548454801073
0.95156.1748924493940.837246353361593
0.96156.6138669171140.859797896858967
0.97157.0861561130730.880105327779457
0.98157.5362646921540.741690903057903
0.99157.8629880996190.374893098658590


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')