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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 computationFri, 06 Aug 2010 11:17:57 +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/Aug/06/t12810934391lhmjtcg1tcy9ch.htm/, Retrieved Tue, 07 May 2024 00:07:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78461, Retrieved Tue, 07 May 2024 00:07:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact158

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] [] [2010-08-06 11:17:57] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
94
93
92
90
88
87
88
90
91
91
92
94
88
90
82
83
88
83
85
81
79
71
70
85
88
84
81
93
99
96
90
95
93
86
77
89
90
84
76
96
104
101
95
101
95
90
88
99
81
79
70
95
100
105
107
106
99
86
81
95
82
78
68
96
98
107
102
98
93
69
65
90
87
80
67
85
85
92
87
85
79
58
47
67

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=78461&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=78461&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78461&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
0.0151.09029424040389.25952038810684
0.0256.58779474439387.10447443445356
0.0361.12896360916875.08144448301507
0.0464.18390280788273.48059106273973
0.0566.12325614396392.50577026071123
0.0667.42824593202692.15747608729427
0.0768.44793489865022.24695539655244
0.0869.38875238024122.56367942088366
0.0970.35397850589252.96336405165855
0.171.38019495176133.34041880870243
0.1172.46211728725893.61002046209374
0.1273.56945273679383.71713313326243
0.1374.66046563720433.64703878982841
0.1475.6938553619013.42486084854707
0.1576.63786912487673.10313009269490
0.1677.47513096604692.74263820438842
0.1778.20289772535842.39617367445419
0.1878.82992695880052.09893336969239
0.1979.37186617860851.86652711991192
0.279.84687456298051.69947075217449
0.2180.27245126922311.58965305256581
0.2280.66366748514431.52602360439079
0.2381.0325002600451.49760918431683
0.2481.3878122493761.4939950581328
0.2581.73560975608581.50524504041849
0.2682.07938821853851.52177775981915
0.2782.42052157804111.53530065765309
0.2882.75871905442861.53946771281049
0.2983.09256626810331.53076489328062
0.383.4201230113871.50868851724601
0.3183.73950543876671.47572731058053
0.3284.04936093401821.43640932146801
0.3384.3491569486141.39609788760007
0.3484.63924424241781.36003516609339
0.3584.92070609376981.33188663765826
0.3685.19505248921991.31272390078633
0.3785.46384925419071.30162347286107
0.3885.7283793521921.29526226694188
0.3985.98941664169781.28989438430308
0.486.24715691322071.28177723494593
0.4186.50130706826181.26853389556209
0.4286.7512924661911.24950487825514
0.4386.99651495561921.22574373155396
0.4487.236586230691.19969709074786
0.4587.47147394699331.17428243804522
0.4687.70152721652391.15228829554071
0.4787.92738527294191.13531760907575
0.4888.149807860781.12328156760849
0.4988.36948849869461.11487228907311
0.588.58691568002481.10778105102832
0.5188.8023309661531.09978011697577
0.5289.0158013111351.08946191122250
0.5389.2273851958791.07713858521124
0.5489.4373398736181.06468547143929
0.5589.64630057712351.05530258131724
0.5689.85536757754991.05286629816356
0.5790.0660624674181.06012447779348
0.5890.28015333510031.07831025629159
0.5990.49938774688241.10626810316322
0.690.72520038973271.14091585577179
0.6190.95847015629591.17789584646588
0.6291.19938702339021.21254905803150
0.6391.44745697232111.24111422720465
0.6491.70163360164241.26107403363373
0.6591.96053046716941.27176629344158
0.6692.22264950651651.27372036012436
0.6792.4865642530761.26845633532465
0.6892.75102112652341.25758362188591
0.6993.0149600886211.24235240196231
0.793.27749439389421.22337699713831
0.7193.5379135113381.20069378160743
0.7293.7957721008351.17480577036706
0.7394.05109727955681.14725755994492
0.7494.3046926124991.12138223783923
0.7594.55845644054261.10305357432964
0.7694.81558637589811.09905877189238
0.7795.08053249495681.11620492216103
0.7895.35860255160371.15843722762044
0.7995.65521332813191.22457801296666
0.895.97490604309651.30757223881037
0.8196.32036676776321.39570835551443
0.8296.69176916911041.47509201104176
0.8397.0867404631251.53318121139162
0.8497.50111691675671.56246603666324
0.8597.93042353911621.56325000784878
0.8698.37176338406191.54447936647819
0.8798.82564720567661.52188017224891
0.8899.29730362738911.51378347537104
0.8999.79712773537611.53631547061055
0.9100.3399797399931.59947635524387
0.91100.9429302937721.70408957617117
0.92101.6209960595061.83609320497094
0.93102.3809709779421.96020403592209
0.94103.2148282545012.02299071474278
0.95104.0951795693161.97217598708123
0.96104.9738687948081.78112532612214
0.97105.7818736853491.45145616758952
0.98106.4322646241270.988770582557354
0.99106.8434196039760.433022378306796

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 51.0902942404038 & 9.25952038810684 \tabularnewline
0.02 & 56.5877947443938 & 7.10447443445356 \tabularnewline
0.03 & 61.1289636091687 & 5.08144448301507 \tabularnewline
0.04 & 64.1839028078827 & 3.48059106273973 \tabularnewline
0.05 & 66.1232561439639 & 2.50577026071123 \tabularnewline
0.06 & 67.4282459320269 & 2.15747608729427 \tabularnewline
0.07 & 68.4479348986502 & 2.24695539655244 \tabularnewline
0.08 & 69.3887523802412 & 2.56367942088366 \tabularnewline
0.09 & 70.3539785058925 & 2.96336405165855 \tabularnewline
0.1 & 71.3801949517613 & 3.34041880870243 \tabularnewline
0.11 & 72.4621172872589 & 3.61002046209374 \tabularnewline
0.12 & 73.5694527367938 & 3.71713313326243 \tabularnewline
0.13 & 74.6604656372043 & 3.64703878982841 \tabularnewline
0.14 & 75.693855361901 & 3.42486084854707 \tabularnewline
0.15 & 76.6378691248767 & 3.10313009269490 \tabularnewline
0.16 & 77.4751309660469 & 2.74263820438842 \tabularnewline
0.17 & 78.2028977253584 & 2.39617367445419 \tabularnewline
0.18 & 78.8299269588005 & 2.09893336969239 \tabularnewline
0.19 & 79.3718661786085 & 1.86652711991192 \tabularnewline
0.2 & 79.8468745629805 & 1.69947075217449 \tabularnewline
0.21 & 80.2724512692231 & 1.58965305256581 \tabularnewline
0.22 & 80.6636674851443 & 1.52602360439079 \tabularnewline
0.23 & 81.032500260045 & 1.49760918431683 \tabularnewline
0.24 & 81.387812249376 & 1.4939950581328 \tabularnewline
0.25 & 81.7356097560858 & 1.50524504041849 \tabularnewline
0.26 & 82.0793882185385 & 1.52177775981915 \tabularnewline
0.27 & 82.4205215780411 & 1.53530065765309 \tabularnewline
0.28 & 82.7587190544286 & 1.53946771281049 \tabularnewline
0.29 & 83.0925662681033 & 1.53076489328062 \tabularnewline
0.3 & 83.420123011387 & 1.50868851724601 \tabularnewline
0.31 & 83.7395054387667 & 1.47572731058053 \tabularnewline
0.32 & 84.0493609340182 & 1.43640932146801 \tabularnewline
0.33 & 84.349156948614 & 1.39609788760007 \tabularnewline
0.34 & 84.6392442424178 & 1.36003516609339 \tabularnewline
0.35 & 84.9207060937698 & 1.33188663765826 \tabularnewline
0.36 & 85.1950524892199 & 1.31272390078633 \tabularnewline
0.37 & 85.4638492541907 & 1.30162347286107 \tabularnewline
0.38 & 85.728379352192 & 1.29526226694188 \tabularnewline
0.39 & 85.9894166416978 & 1.28989438430308 \tabularnewline
0.4 & 86.2471569132207 & 1.28177723494593 \tabularnewline
0.41 & 86.5013070682618 & 1.26853389556209 \tabularnewline
0.42 & 86.751292466191 & 1.24950487825514 \tabularnewline
0.43 & 86.9965149556192 & 1.22574373155396 \tabularnewline
0.44 & 87.23658623069 & 1.19969709074786 \tabularnewline
0.45 & 87.4714739469933 & 1.17428243804522 \tabularnewline
0.46 & 87.7015272165239 & 1.15228829554071 \tabularnewline
0.47 & 87.9273852729419 & 1.13531760907575 \tabularnewline
0.48 & 88.14980786078 & 1.12328156760849 \tabularnewline
0.49 & 88.3694884986946 & 1.11487228907311 \tabularnewline
0.5 & 88.5869156800248 & 1.10778105102832 \tabularnewline
0.51 & 88.802330966153 & 1.09978011697577 \tabularnewline
0.52 & 89.015801311135 & 1.08946191122250 \tabularnewline
0.53 & 89.227385195879 & 1.07713858521124 \tabularnewline
0.54 & 89.437339873618 & 1.06468547143929 \tabularnewline
0.55 & 89.6463005771235 & 1.05530258131724 \tabularnewline
0.56 & 89.8553675775499 & 1.05286629816356 \tabularnewline
0.57 & 90.066062467418 & 1.06012447779348 \tabularnewline
0.58 & 90.2801533351003 & 1.07831025629159 \tabularnewline
0.59 & 90.4993877468824 & 1.10626810316322 \tabularnewline
0.6 & 90.7252003897327 & 1.14091585577179 \tabularnewline
0.61 & 90.9584701562959 & 1.17789584646588 \tabularnewline
0.62 & 91.1993870233902 & 1.21254905803150 \tabularnewline
0.63 & 91.4474569723211 & 1.24111422720465 \tabularnewline
0.64 & 91.7016336016424 & 1.26107403363373 \tabularnewline
0.65 & 91.9605304671694 & 1.27176629344158 \tabularnewline
0.66 & 92.2226495065165 & 1.27372036012436 \tabularnewline
0.67 & 92.486564253076 & 1.26845633532465 \tabularnewline
0.68 & 92.7510211265234 & 1.25758362188591 \tabularnewline
0.69 & 93.014960088621 & 1.24235240196231 \tabularnewline
0.7 & 93.2774943938942 & 1.22337699713831 \tabularnewline
0.71 & 93.537913511338 & 1.20069378160743 \tabularnewline
0.72 & 93.795772100835 & 1.17480577036706 \tabularnewline
0.73 & 94.0510972795568 & 1.14725755994492 \tabularnewline
0.74 & 94.304692612499 & 1.12138223783923 \tabularnewline
0.75 & 94.5584564405426 & 1.10305357432964 \tabularnewline
0.76 & 94.8155863758981 & 1.09905877189238 \tabularnewline
0.77 & 95.0805324949568 & 1.11620492216103 \tabularnewline
0.78 & 95.3586025516037 & 1.15843722762044 \tabularnewline
0.79 & 95.6552133281319 & 1.22457801296666 \tabularnewline
0.8 & 95.9749060430965 & 1.30757223881037 \tabularnewline
0.81 & 96.3203667677632 & 1.39570835551443 \tabularnewline
0.82 & 96.6917691691104 & 1.47509201104176 \tabularnewline
0.83 & 97.086740463125 & 1.53318121139162 \tabularnewline
0.84 & 97.5011169167567 & 1.56246603666324 \tabularnewline
0.85 & 97.9304235391162 & 1.56325000784878 \tabularnewline
0.86 & 98.3717633840619 & 1.54447936647819 \tabularnewline
0.87 & 98.8256472056766 & 1.52188017224891 \tabularnewline
0.88 & 99.2973036273891 & 1.51378347537104 \tabularnewline
0.89 & 99.7971277353761 & 1.53631547061055 \tabularnewline
0.9 & 100.339979739993 & 1.59947635524387 \tabularnewline
0.91 & 100.942930293772 & 1.70408957617117 \tabularnewline
0.92 & 101.620996059506 & 1.83609320497094 \tabularnewline
0.93 & 102.380970977942 & 1.96020403592209 \tabularnewline
0.94 & 103.214828254501 & 2.02299071474278 \tabularnewline
0.95 & 104.095179569316 & 1.97217598708123 \tabularnewline
0.96 & 104.973868794808 & 1.78112532612214 \tabularnewline
0.97 & 105.781873685349 & 1.45145616758952 \tabularnewline
0.98 & 106.432264624127 & 0.988770582557354 \tabularnewline
0.99 & 106.843419603976 & 0.433022378306796 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78461&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]51.0902942404038[/C][C]9.25952038810684[/C][/ROW]
[ROW][C]0.02[/C][C]56.5877947443938[/C][C]7.10447443445356[/C][/ROW]
[ROW][C]0.03[/C][C]61.1289636091687[/C][C]5.08144448301507[/C][/ROW]
[ROW][C]0.04[/C][C]64.1839028078827[/C][C]3.48059106273973[/C][/ROW]
[ROW][C]0.05[/C][C]66.1232561439639[/C][C]2.50577026071123[/C][/ROW]
[ROW][C]0.06[/C][C]67.4282459320269[/C][C]2.15747608729427[/C][/ROW]
[ROW][C]0.07[/C][C]68.4479348986502[/C][C]2.24695539655244[/C][/ROW]
[ROW][C]0.08[/C][C]69.3887523802412[/C][C]2.56367942088366[/C][/ROW]
[ROW][C]0.09[/C][C]70.3539785058925[/C][C]2.96336405165855[/C][/ROW]
[ROW][C]0.1[/C][C]71.3801949517613[/C][C]3.34041880870243[/C][/ROW]
[ROW][C]0.11[/C][C]72.4621172872589[/C][C]3.61002046209374[/C][/ROW]
[ROW][C]0.12[/C][C]73.5694527367938[/C][C]3.71713313326243[/C][/ROW]
[ROW][C]0.13[/C][C]74.6604656372043[/C][C]3.64703878982841[/C][/ROW]
[ROW][C]0.14[/C][C]75.693855361901[/C][C]3.42486084854707[/C][/ROW]
[ROW][C]0.15[/C][C]76.6378691248767[/C][C]3.10313009269490[/C][/ROW]
[ROW][C]0.16[/C][C]77.4751309660469[/C][C]2.74263820438842[/C][/ROW]
[ROW][C]0.17[/C][C]78.2028977253584[/C][C]2.39617367445419[/C][/ROW]
[ROW][C]0.18[/C][C]78.8299269588005[/C][C]2.09893336969239[/C][/ROW]
[ROW][C]0.19[/C][C]79.3718661786085[/C][C]1.86652711991192[/C][/ROW]
[ROW][C]0.2[/C][C]79.8468745629805[/C][C]1.69947075217449[/C][/ROW]
[ROW][C]0.21[/C][C]80.2724512692231[/C][C]1.58965305256581[/C][/ROW]
[ROW][C]0.22[/C][C]80.6636674851443[/C][C]1.52602360439079[/C][/ROW]
[ROW][C]0.23[/C][C]81.032500260045[/C][C]1.49760918431683[/C][/ROW]
[ROW][C]0.24[/C][C]81.387812249376[/C][C]1.4939950581328[/C][/ROW]
[ROW][C]0.25[/C][C]81.7356097560858[/C][C]1.50524504041849[/C][/ROW]
[ROW][C]0.26[/C][C]82.0793882185385[/C][C]1.52177775981915[/C][/ROW]
[ROW][C]0.27[/C][C]82.4205215780411[/C][C]1.53530065765309[/C][/ROW]
[ROW][C]0.28[/C][C]82.7587190544286[/C][C]1.53946771281049[/C][/ROW]
[ROW][C]0.29[/C][C]83.0925662681033[/C][C]1.53076489328062[/C][/ROW]
[ROW][C]0.3[/C][C]83.420123011387[/C][C]1.50868851724601[/C][/ROW]
[ROW][C]0.31[/C][C]83.7395054387667[/C][C]1.47572731058053[/C][/ROW]
[ROW][C]0.32[/C][C]84.0493609340182[/C][C]1.43640932146801[/C][/ROW]
[ROW][C]0.33[/C][C]84.349156948614[/C][C]1.39609788760007[/C][/ROW]
[ROW][C]0.34[/C][C]84.6392442424178[/C][C]1.36003516609339[/C][/ROW]
[ROW][C]0.35[/C][C]84.9207060937698[/C][C]1.33188663765826[/C][/ROW]
[ROW][C]0.36[/C][C]85.1950524892199[/C][C]1.31272390078633[/C][/ROW]
[ROW][C]0.37[/C][C]85.4638492541907[/C][C]1.30162347286107[/C][/ROW]
[ROW][C]0.38[/C][C]85.728379352192[/C][C]1.29526226694188[/C][/ROW]
[ROW][C]0.39[/C][C]85.9894166416978[/C][C]1.28989438430308[/C][/ROW]
[ROW][C]0.4[/C][C]86.2471569132207[/C][C]1.28177723494593[/C][/ROW]
[ROW][C]0.41[/C][C]86.5013070682618[/C][C]1.26853389556209[/C][/ROW]
[ROW][C]0.42[/C][C]86.751292466191[/C][C]1.24950487825514[/C][/ROW]
[ROW][C]0.43[/C][C]86.9965149556192[/C][C]1.22574373155396[/C][/ROW]
[ROW][C]0.44[/C][C]87.23658623069[/C][C]1.19969709074786[/C][/ROW]
[ROW][C]0.45[/C][C]87.4714739469933[/C][C]1.17428243804522[/C][/ROW]
[ROW][C]0.46[/C][C]87.7015272165239[/C][C]1.15228829554071[/C][/ROW]
[ROW][C]0.47[/C][C]87.9273852729419[/C][C]1.13531760907575[/C][/ROW]
[ROW][C]0.48[/C][C]88.14980786078[/C][C]1.12328156760849[/C][/ROW]
[ROW][C]0.49[/C][C]88.3694884986946[/C][C]1.11487228907311[/C][/ROW]
[ROW][C]0.5[/C][C]88.5869156800248[/C][C]1.10778105102832[/C][/ROW]
[ROW][C]0.51[/C][C]88.802330966153[/C][C]1.09978011697577[/C][/ROW]
[ROW][C]0.52[/C][C]89.015801311135[/C][C]1.08946191122250[/C][/ROW]
[ROW][C]0.53[/C][C]89.227385195879[/C][C]1.07713858521124[/C][/ROW]
[ROW][C]0.54[/C][C]89.437339873618[/C][C]1.06468547143929[/C][/ROW]
[ROW][C]0.55[/C][C]89.6463005771235[/C][C]1.05530258131724[/C][/ROW]
[ROW][C]0.56[/C][C]89.8553675775499[/C][C]1.05286629816356[/C][/ROW]
[ROW][C]0.57[/C][C]90.066062467418[/C][C]1.06012447779348[/C][/ROW]
[ROW][C]0.58[/C][C]90.2801533351003[/C][C]1.07831025629159[/C][/ROW]
[ROW][C]0.59[/C][C]90.4993877468824[/C][C]1.10626810316322[/C][/ROW]
[ROW][C]0.6[/C][C]90.7252003897327[/C][C]1.14091585577179[/C][/ROW]
[ROW][C]0.61[/C][C]90.9584701562959[/C][C]1.17789584646588[/C][/ROW]
[ROW][C]0.62[/C][C]91.1993870233902[/C][C]1.21254905803150[/C][/ROW]
[ROW][C]0.63[/C][C]91.4474569723211[/C][C]1.24111422720465[/C][/ROW]
[ROW][C]0.64[/C][C]91.7016336016424[/C][C]1.26107403363373[/C][/ROW]
[ROW][C]0.65[/C][C]91.9605304671694[/C][C]1.27176629344158[/C][/ROW]
[ROW][C]0.66[/C][C]92.2226495065165[/C][C]1.27372036012436[/C][/ROW]
[ROW][C]0.67[/C][C]92.486564253076[/C][C]1.26845633532465[/C][/ROW]
[ROW][C]0.68[/C][C]92.7510211265234[/C][C]1.25758362188591[/C][/ROW]
[ROW][C]0.69[/C][C]93.014960088621[/C][C]1.24235240196231[/C][/ROW]
[ROW][C]0.7[/C][C]93.2774943938942[/C][C]1.22337699713831[/C][/ROW]
[ROW][C]0.71[/C][C]93.537913511338[/C][C]1.20069378160743[/C][/ROW]
[ROW][C]0.72[/C][C]93.795772100835[/C][C]1.17480577036706[/C][/ROW]
[ROW][C]0.73[/C][C]94.0510972795568[/C][C]1.14725755994492[/C][/ROW]
[ROW][C]0.74[/C][C]94.304692612499[/C][C]1.12138223783923[/C][/ROW]
[ROW][C]0.75[/C][C]94.5584564405426[/C][C]1.10305357432964[/C][/ROW]
[ROW][C]0.76[/C][C]94.8155863758981[/C][C]1.09905877189238[/C][/ROW]
[ROW][C]0.77[/C][C]95.0805324949568[/C][C]1.11620492216103[/C][/ROW]
[ROW][C]0.78[/C][C]95.3586025516037[/C][C]1.15843722762044[/C][/ROW]
[ROW][C]0.79[/C][C]95.6552133281319[/C][C]1.22457801296666[/C][/ROW]
[ROW][C]0.8[/C][C]95.9749060430965[/C][C]1.30757223881037[/C][/ROW]
[ROW][C]0.81[/C][C]96.3203667677632[/C][C]1.39570835551443[/C][/ROW]
[ROW][C]0.82[/C][C]96.6917691691104[/C][C]1.47509201104176[/C][/ROW]
[ROW][C]0.83[/C][C]97.086740463125[/C][C]1.53318121139162[/C][/ROW]
[ROW][C]0.84[/C][C]97.5011169167567[/C][C]1.56246603666324[/C][/ROW]
[ROW][C]0.85[/C][C]97.9304235391162[/C][C]1.56325000784878[/C][/ROW]
[ROW][C]0.86[/C][C]98.3717633840619[/C][C]1.54447936647819[/C][/ROW]
[ROW][C]0.87[/C][C]98.8256472056766[/C][C]1.52188017224891[/C][/ROW]
[ROW][C]0.88[/C][C]99.2973036273891[/C][C]1.51378347537104[/C][/ROW]
[ROW][C]0.89[/C][C]99.7971277353761[/C][C]1.53631547061055[/C][/ROW]
[ROW][C]0.9[/C][C]100.339979739993[/C][C]1.59947635524387[/C][/ROW]
[ROW][C]0.91[/C][C]100.942930293772[/C][C]1.70408957617117[/C][/ROW]
[ROW][C]0.92[/C][C]101.620996059506[/C][C]1.83609320497094[/C][/ROW]
[ROW][C]0.93[/C][C]102.380970977942[/C][C]1.96020403592209[/C][/ROW]
[ROW][C]0.94[/C][C]103.214828254501[/C][C]2.02299071474278[/C][/ROW]
[ROW][C]0.95[/C][C]104.095179569316[/C][C]1.97217598708123[/C][/ROW]
[ROW][C]0.96[/C][C]104.973868794808[/C][C]1.78112532612214[/C][/ROW]
[ROW][C]0.97[/C][C]105.781873685349[/C][C]1.45145616758952[/C][/ROW]
[ROW][C]0.98[/C][C]106.432264624127[/C][C]0.988770582557354[/C][/ROW]
[ROW][C]0.99[/C][C]106.843419603976[/C][C]0.433022378306796[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78461&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78461&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
0.0151.09029424040389.25952038810684
0.0256.58779474439387.10447443445356
0.0361.12896360916875.08144448301507
0.0464.18390280788273.48059106273973
0.0566.12325614396392.50577026071123
0.0667.42824593202692.15747608729427
0.0768.44793489865022.24695539655244
0.0869.38875238024122.56367942088366
0.0970.35397850589252.96336405165855
0.171.38019495176133.34041880870243
0.1172.46211728725893.61002046209374
0.1273.56945273679383.71713313326243
0.1374.66046563720433.64703878982841
0.1475.6938553619013.42486084854707
0.1576.63786912487673.10313009269490
0.1677.47513096604692.74263820438842
0.1778.20289772535842.39617367445419
0.1878.82992695880052.09893336969239
0.1979.37186617860851.86652711991192
0.279.84687456298051.69947075217449
0.2180.27245126922311.58965305256581
0.2280.66366748514431.52602360439079
0.2381.0325002600451.49760918431683
0.2481.3878122493761.4939950581328
0.2581.73560975608581.50524504041849
0.2682.07938821853851.52177775981915
0.2782.42052157804111.53530065765309
0.2882.75871905442861.53946771281049
0.2983.09256626810331.53076489328062
0.383.4201230113871.50868851724601
0.3183.73950543876671.47572731058053
0.3284.04936093401821.43640932146801
0.3384.3491569486141.39609788760007
0.3484.63924424241781.36003516609339
0.3584.92070609376981.33188663765826
0.3685.19505248921991.31272390078633
0.3785.46384925419071.30162347286107
0.3885.7283793521921.29526226694188
0.3985.98941664169781.28989438430308
0.486.24715691322071.28177723494593
0.4186.50130706826181.26853389556209
0.4286.7512924661911.24950487825514
0.4386.99651495561921.22574373155396
0.4487.236586230691.19969709074786
0.4587.47147394699331.17428243804522
0.4687.70152721652391.15228829554071
0.4787.92738527294191.13531760907575
0.4888.149807860781.12328156760849
0.4988.36948849869461.11487228907311
0.588.58691568002481.10778105102832
0.5188.8023309661531.09978011697577
0.5289.0158013111351.08946191122250
0.5389.2273851958791.07713858521124
0.5489.4373398736181.06468547143929
0.5589.64630057712351.05530258131724
0.5689.85536757754991.05286629816356
0.5790.0660624674181.06012447779348
0.5890.28015333510031.07831025629159
0.5990.49938774688241.10626810316322
0.690.72520038973271.14091585577179
0.6190.95847015629591.17789584646588
0.6291.19938702339021.21254905803150
0.6391.44745697232111.24111422720465
0.6491.70163360164241.26107403363373
0.6591.96053046716941.27176629344158
0.6692.22264950651651.27372036012436
0.6792.4865642530761.26845633532465
0.6892.75102112652341.25758362188591
0.6993.0149600886211.24235240196231
0.793.27749439389421.22337699713831
0.7193.5379135113381.20069378160743
0.7293.7957721008351.17480577036706
0.7394.05109727955681.14725755994492
0.7494.3046926124991.12138223783923
0.7594.55845644054261.10305357432964
0.7694.81558637589811.09905877189238
0.7795.08053249495681.11620492216103
0.7895.35860255160371.15843722762044
0.7995.65521332813191.22457801296666
0.895.97490604309651.30757223881037
0.8196.32036676776321.39570835551443
0.8296.69176916911041.47509201104176
0.8397.0867404631251.53318121139162
0.8497.50111691675671.56246603666324
0.8597.93042353911621.56325000784878
0.8698.37176338406191.54447936647819
0.8798.82564720567661.52188017224891
0.8899.29730362738911.51378347537104
0.8999.79712773537611.53631547061055
0.9100.3399797399931.59947635524387
0.91100.9429302937721.70408957617117
0.92101.6209960595061.83609320497094
0.93102.3809709779421.96020403592209
0.94103.2148282545012.02299071474278
0.95104.0951795693161.97217598708123
0.96104.9738687948081.78112532612214
0.97105.7818736853491.45145616758952
0.98106.4322646241270.988770582557354
0.99106.8434196039760.433022378306796


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')