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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 computationSun, 17 May 2015 10:21:22 +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/2015/May/17/t14318546065gn6nxhe88phv3x.htm/, Retrieved Mon, 06 May 2024 15:54:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279094, Retrieved Mon, 06 May 2024 15:54:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact150

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] [H-D Percentielen ...] [2015-05-17 09:21:22] [318ebe2e7bf55ee158992108d321fa26] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
81
85
90
84
94
131
130
99
101
82
90
85
105
110
115
110
114
149
147
113
113
107
109
103
113
112
114
106
107
134
135
105
105
90
92
83
95
98
95
81
83
106
114
80
82
76
78
70
82
86
87
74
79
110
117
82
71
67
66
57
71
77
76
69
74
101
105
73
68
65
70
65
80
92
93
90
96
125
134
100
97
97
101
90
108
113
112
103
103
125
128
91
84
83
83
69
77
83
78
70
75
101
117
80
87
81
78
73
93
105
102
97
100
127
138
107
107
106
109
107
129
138
137
134
134
166
180
131
135
127
121
116
127
138
124
121
123
144
157
107
107
105
104
96

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279094&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279094&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279094&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0161.58627741074453.82497552518053
0.0265.05889923089271.62796411285079
0.0366.70213883086491.52930641595413
0.0467.85197527107311.49274156904969
0.0568.81218070570481.38405548569176
0.0669.63999736093581.38052668659235
0.0770.41686552061381.53565823175537
0.0871.21529574552141.77110202055853
0.0972.06392531820661.98236106731051
0.172.95047827037912.11182714066154
0.1173.84419360054912.15651608501882
0.1274.71626213170632.14129053572776
0.1375.54889029132062.09335614247871
0.1476.33517047830672.03299137834633
0.1577.07534779264141.9725457740803
0.1677.77290218637561.91604648457521
0.1778.4315161019611.86007138764592
0.1879.05330600576471.79788146901167
0.1979.63859093553211.72465717664835
0.280.18704066677091.64262894152742
0.2180.69951572518351.56083725698163
0.2281.17978032973461.49289002354874
0.2381.63555939430331.45552246115257
0.2482.07877081814831.46526378041626
0.2582.52492953850841.53568927280026
0.2682.99172474826331.67356566660704
0.2783.49681542611951.87450187535237
0.2884.05509665832022.12254535860757
0.2984.67599560113622.39143082069885
0.385.36156378509262.65022131179837
0.3186.10605630559262.87044158406486
0.3286.89728309392413.03176971087197
0.3387.71942080898243.12726844148602
0.3488.556446329133.16422844474515
0.3589.39514426952813.15910869943022
0.3690.22685471920373.13286206161632
0.3791.04765893428383.10283801448852
0.3891.85729216636513.07932149761664
0.3992.65745472571213.06478628899924
0.493.45022720258953.05626829447283
0.4194.23703629841013.04909731648362
0.4295.01825215069863.03888934056172
0.4395.79322639289753.02259738959512
0.4496.56050414931652.99805628359062
0.4597.31803175690222.96303994868168
0.4698.0633206412662.91605473823718
0.4798.79360732911112.85598638683815
0.4899.50603481086272.7828801399589
0.49100.1978179562092.69754965983686
0.5100.8663241575422.60167480191431
0.51101.5090437590942.49573808926535
0.52102.1235173894642.37973109722464
0.53102.7073550778472.2535350236203
0.54103.2584626621792.11820996654698
0.55103.7754855305391.977402662475
0.56104.2583556266711.83760961200476
0.57104.7087694428721.70694391288077
0.58105.1304692457971.59440632404486
0.59105.5293060035141.50819393586013
0.6105.9131414168651.4558926525114
0.61106.2916309552321.44404885355344
0.62106.675831863031.4772781384062
0.63107.0774899255121.55717814003324
0.64107.5078821609641.67905666188238
0.65107.9762706781681.83076992542701
0.66108.4882928514271.99397503059454
0.67109.044837775122.14772715645667
0.68109.6420036326212.27331959056352
0.69110.2725310191012.36066499836303
0.7110.9286935566072.41264155240454
0.71111.6061044369222.44768889528642
0.72112.3074138349932.49805173026757
0.73113.0445938356072.60236773106283
0.74113.8385932028532.79300179480556
0.75114.7156956896733.08048880741617
0.76115.7009039116133.44492923668715
0.77116.8098715928043.83625568698069
0.78118.041896952564.186370058614
0.79119.376755412974.42694600231556
0.8120.7773131030434.51062697058202
0.81122.1979509802174.42754275396295
0.82123.596422952694.21028130185794
0.83124.9448745461653.92338008480006
0.84126.2353839318523.64024041623494
0.85127.4771177613283.41247455621537
0.86128.6858120979393.24667250287497
0.87129.8706761301763.10390152881466
0.88131.0268386375882.92937720214464
0.89132.1402603105232.69732330316595
0.9133.2051009005262.44367329348187
0.91134.2448708438082.25916889747243
0.92135.3287504578592.24554418522111
0.93136.5872342215672.4945156851499
0.94138.2351336301273.12419954200807
0.95140.5844405666944.18795108521702
0.96144.0406461762715.52538742854162
0.97149.1978351014437.09497898116539
0.98157.1396512243889.08576912040155
0.99169.07481794309711.2243982012853

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 61.5862774107445 & 3.82497552518053 \tabularnewline
0.02 & 65.0588992308927 & 1.62796411285079 \tabularnewline
0.03 & 66.7021388308649 & 1.52930641595413 \tabularnewline
0.04 & 67.8519752710731 & 1.49274156904969 \tabularnewline
0.05 & 68.8121807057048 & 1.38405548569176 \tabularnewline
0.06 & 69.6399973609358 & 1.38052668659235 \tabularnewline
0.07 & 70.4168655206138 & 1.53565823175537 \tabularnewline
0.08 & 71.2152957455214 & 1.77110202055853 \tabularnewline
0.09 & 72.0639253182066 & 1.98236106731051 \tabularnewline
0.1 & 72.9504782703791 & 2.11182714066154 \tabularnewline
0.11 & 73.8441936005491 & 2.15651608501882 \tabularnewline
0.12 & 74.7162621317063 & 2.14129053572776 \tabularnewline
0.13 & 75.5488902913206 & 2.09335614247871 \tabularnewline
0.14 & 76.3351704783067 & 2.03299137834633 \tabularnewline
0.15 & 77.0753477926414 & 1.9725457740803 \tabularnewline
0.16 & 77.7729021863756 & 1.91604648457521 \tabularnewline
0.17 & 78.431516101961 & 1.86007138764592 \tabularnewline
0.18 & 79.0533060057647 & 1.79788146901167 \tabularnewline
0.19 & 79.6385909355321 & 1.72465717664835 \tabularnewline
0.2 & 80.1870406667709 & 1.64262894152742 \tabularnewline
0.21 & 80.6995157251835 & 1.56083725698163 \tabularnewline
0.22 & 81.1797803297346 & 1.49289002354874 \tabularnewline
0.23 & 81.6355593943033 & 1.45552246115257 \tabularnewline
0.24 & 82.0787708181483 & 1.46526378041626 \tabularnewline
0.25 & 82.5249295385084 & 1.53568927280026 \tabularnewline
0.26 & 82.9917247482633 & 1.67356566660704 \tabularnewline
0.27 & 83.4968154261195 & 1.87450187535237 \tabularnewline
0.28 & 84.0550966583202 & 2.12254535860757 \tabularnewline
0.29 & 84.6759956011362 & 2.39143082069885 \tabularnewline
0.3 & 85.3615637850926 & 2.65022131179837 \tabularnewline
0.31 & 86.1060563055926 & 2.87044158406486 \tabularnewline
0.32 & 86.8972830939241 & 3.03176971087197 \tabularnewline
0.33 & 87.7194208089824 & 3.12726844148602 \tabularnewline
0.34 & 88.55644632913 & 3.16422844474515 \tabularnewline
0.35 & 89.3951442695281 & 3.15910869943022 \tabularnewline
0.36 & 90.2268547192037 & 3.13286206161632 \tabularnewline
0.37 & 91.0476589342838 & 3.10283801448852 \tabularnewline
0.38 & 91.8572921663651 & 3.07932149761664 \tabularnewline
0.39 & 92.6574547257121 & 3.06478628899924 \tabularnewline
0.4 & 93.4502272025895 & 3.05626829447283 \tabularnewline
0.41 & 94.2370362984101 & 3.04909731648362 \tabularnewline
0.42 & 95.0182521506986 & 3.03888934056172 \tabularnewline
0.43 & 95.7932263928975 & 3.02259738959512 \tabularnewline
0.44 & 96.5605041493165 & 2.99805628359062 \tabularnewline
0.45 & 97.3180317569022 & 2.96303994868168 \tabularnewline
0.46 & 98.063320641266 & 2.91605473823718 \tabularnewline
0.47 & 98.7936073291111 & 2.85598638683815 \tabularnewline
0.48 & 99.5060348108627 & 2.7828801399589 \tabularnewline
0.49 & 100.197817956209 & 2.69754965983686 \tabularnewline
0.5 & 100.866324157542 & 2.60167480191431 \tabularnewline
0.51 & 101.509043759094 & 2.49573808926535 \tabularnewline
0.52 & 102.123517389464 & 2.37973109722464 \tabularnewline
0.53 & 102.707355077847 & 2.2535350236203 \tabularnewline
0.54 & 103.258462662179 & 2.11820996654698 \tabularnewline
0.55 & 103.775485530539 & 1.977402662475 \tabularnewline
0.56 & 104.258355626671 & 1.83760961200476 \tabularnewline
0.57 & 104.708769442872 & 1.70694391288077 \tabularnewline
0.58 & 105.130469245797 & 1.59440632404486 \tabularnewline
0.59 & 105.529306003514 & 1.50819393586013 \tabularnewline
0.6 & 105.913141416865 & 1.4558926525114 \tabularnewline
0.61 & 106.291630955232 & 1.44404885355344 \tabularnewline
0.62 & 106.67583186303 & 1.4772781384062 \tabularnewline
0.63 & 107.077489925512 & 1.55717814003324 \tabularnewline
0.64 & 107.507882160964 & 1.67905666188238 \tabularnewline
0.65 & 107.976270678168 & 1.83076992542701 \tabularnewline
0.66 & 108.488292851427 & 1.99397503059454 \tabularnewline
0.67 & 109.04483777512 & 2.14772715645667 \tabularnewline
0.68 & 109.642003632621 & 2.27331959056352 \tabularnewline
0.69 & 110.272531019101 & 2.36066499836303 \tabularnewline
0.7 & 110.928693556607 & 2.41264155240454 \tabularnewline
0.71 & 111.606104436922 & 2.44768889528642 \tabularnewline
0.72 & 112.307413834993 & 2.49805173026757 \tabularnewline
0.73 & 113.044593835607 & 2.60236773106283 \tabularnewline
0.74 & 113.838593202853 & 2.79300179480556 \tabularnewline
0.75 & 114.715695689673 & 3.08048880741617 \tabularnewline
0.76 & 115.700903911613 & 3.44492923668715 \tabularnewline
0.77 & 116.809871592804 & 3.83625568698069 \tabularnewline
0.78 & 118.04189695256 & 4.186370058614 \tabularnewline
0.79 & 119.37675541297 & 4.42694600231556 \tabularnewline
0.8 & 120.777313103043 & 4.51062697058202 \tabularnewline
0.81 & 122.197950980217 & 4.42754275396295 \tabularnewline
0.82 & 123.59642295269 & 4.21028130185794 \tabularnewline
0.83 & 124.944874546165 & 3.92338008480006 \tabularnewline
0.84 & 126.235383931852 & 3.64024041623494 \tabularnewline
0.85 & 127.477117761328 & 3.41247455621537 \tabularnewline
0.86 & 128.685812097939 & 3.24667250287497 \tabularnewline
0.87 & 129.870676130176 & 3.10390152881466 \tabularnewline
0.88 & 131.026838637588 & 2.92937720214464 \tabularnewline
0.89 & 132.140260310523 & 2.69732330316595 \tabularnewline
0.9 & 133.205100900526 & 2.44367329348187 \tabularnewline
0.91 & 134.244870843808 & 2.25916889747243 \tabularnewline
0.92 & 135.328750457859 & 2.24554418522111 \tabularnewline
0.93 & 136.587234221567 & 2.4945156851499 \tabularnewline
0.94 & 138.235133630127 & 3.12419954200807 \tabularnewline
0.95 & 140.584440566694 & 4.18795108521702 \tabularnewline
0.96 & 144.040646176271 & 5.52538742854162 \tabularnewline
0.97 & 149.197835101443 & 7.09497898116539 \tabularnewline
0.98 & 157.139651224388 & 9.08576912040155 \tabularnewline
0.99 & 169.074817943097 & 11.2243982012853 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279094&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]61.5862774107445[/C][C]3.82497552518053[/C][/ROW]
[ROW][C]0.02[/C][C]65.0588992308927[/C][C]1.62796411285079[/C][/ROW]
[ROW][C]0.03[/C][C]66.7021388308649[/C][C]1.52930641595413[/C][/ROW]
[ROW][C]0.04[/C][C]67.8519752710731[/C][C]1.49274156904969[/C][/ROW]
[ROW][C]0.05[/C][C]68.8121807057048[/C][C]1.38405548569176[/C][/ROW]
[ROW][C]0.06[/C][C]69.6399973609358[/C][C]1.38052668659235[/C][/ROW]
[ROW][C]0.07[/C][C]70.4168655206138[/C][C]1.53565823175537[/C][/ROW]
[ROW][C]0.08[/C][C]71.2152957455214[/C][C]1.77110202055853[/C][/ROW]
[ROW][C]0.09[/C][C]72.0639253182066[/C][C]1.98236106731051[/C][/ROW]
[ROW][C]0.1[/C][C]72.9504782703791[/C][C]2.11182714066154[/C][/ROW]
[ROW][C]0.11[/C][C]73.8441936005491[/C][C]2.15651608501882[/C][/ROW]
[ROW][C]0.12[/C][C]74.7162621317063[/C][C]2.14129053572776[/C][/ROW]
[ROW][C]0.13[/C][C]75.5488902913206[/C][C]2.09335614247871[/C][/ROW]
[ROW][C]0.14[/C][C]76.3351704783067[/C][C]2.03299137834633[/C][/ROW]
[ROW][C]0.15[/C][C]77.0753477926414[/C][C]1.9725457740803[/C][/ROW]
[ROW][C]0.16[/C][C]77.7729021863756[/C][C]1.91604648457521[/C][/ROW]
[ROW][C]0.17[/C][C]78.431516101961[/C][C]1.86007138764592[/C][/ROW]
[ROW][C]0.18[/C][C]79.0533060057647[/C][C]1.79788146901167[/C][/ROW]
[ROW][C]0.19[/C][C]79.6385909355321[/C][C]1.72465717664835[/C][/ROW]
[ROW][C]0.2[/C][C]80.1870406667709[/C][C]1.64262894152742[/C][/ROW]
[ROW][C]0.21[/C][C]80.6995157251835[/C][C]1.56083725698163[/C][/ROW]
[ROW][C]0.22[/C][C]81.1797803297346[/C][C]1.49289002354874[/C][/ROW]
[ROW][C]0.23[/C][C]81.6355593943033[/C][C]1.45552246115257[/C][/ROW]
[ROW][C]0.24[/C][C]82.0787708181483[/C][C]1.46526378041626[/C][/ROW]
[ROW][C]0.25[/C][C]82.5249295385084[/C][C]1.53568927280026[/C][/ROW]
[ROW][C]0.26[/C][C]82.9917247482633[/C][C]1.67356566660704[/C][/ROW]
[ROW][C]0.27[/C][C]83.4968154261195[/C][C]1.87450187535237[/C][/ROW]
[ROW][C]0.28[/C][C]84.0550966583202[/C][C]2.12254535860757[/C][/ROW]
[ROW][C]0.29[/C][C]84.6759956011362[/C][C]2.39143082069885[/C][/ROW]
[ROW][C]0.3[/C][C]85.3615637850926[/C][C]2.65022131179837[/C][/ROW]
[ROW][C]0.31[/C][C]86.1060563055926[/C][C]2.87044158406486[/C][/ROW]
[ROW][C]0.32[/C][C]86.8972830939241[/C][C]3.03176971087197[/C][/ROW]
[ROW][C]0.33[/C][C]87.7194208089824[/C][C]3.12726844148602[/C][/ROW]
[ROW][C]0.34[/C][C]88.55644632913[/C][C]3.16422844474515[/C][/ROW]
[ROW][C]0.35[/C][C]89.3951442695281[/C][C]3.15910869943022[/C][/ROW]
[ROW][C]0.36[/C][C]90.2268547192037[/C][C]3.13286206161632[/C][/ROW]
[ROW][C]0.37[/C][C]91.0476589342838[/C][C]3.10283801448852[/C][/ROW]
[ROW][C]0.38[/C][C]91.8572921663651[/C][C]3.07932149761664[/C][/ROW]
[ROW][C]0.39[/C][C]92.6574547257121[/C][C]3.06478628899924[/C][/ROW]
[ROW][C]0.4[/C][C]93.4502272025895[/C][C]3.05626829447283[/C][/ROW]
[ROW][C]0.41[/C][C]94.2370362984101[/C][C]3.04909731648362[/C][/ROW]
[ROW][C]0.42[/C][C]95.0182521506986[/C][C]3.03888934056172[/C][/ROW]
[ROW][C]0.43[/C][C]95.7932263928975[/C][C]3.02259738959512[/C][/ROW]
[ROW][C]0.44[/C][C]96.5605041493165[/C][C]2.99805628359062[/C][/ROW]
[ROW][C]0.45[/C][C]97.3180317569022[/C][C]2.96303994868168[/C][/ROW]
[ROW][C]0.46[/C][C]98.063320641266[/C][C]2.91605473823718[/C][/ROW]
[ROW][C]0.47[/C][C]98.7936073291111[/C][C]2.85598638683815[/C][/ROW]
[ROW][C]0.48[/C][C]99.5060348108627[/C][C]2.7828801399589[/C][/ROW]
[ROW][C]0.49[/C][C]100.197817956209[/C][C]2.69754965983686[/C][/ROW]
[ROW][C]0.5[/C][C]100.866324157542[/C][C]2.60167480191431[/C][/ROW]
[ROW][C]0.51[/C][C]101.509043759094[/C][C]2.49573808926535[/C][/ROW]
[ROW][C]0.52[/C][C]102.123517389464[/C][C]2.37973109722464[/C][/ROW]
[ROW][C]0.53[/C][C]102.707355077847[/C][C]2.2535350236203[/C][/ROW]
[ROW][C]0.54[/C][C]103.258462662179[/C][C]2.11820996654698[/C][/ROW]
[ROW][C]0.55[/C][C]103.775485530539[/C][C]1.977402662475[/C][/ROW]
[ROW][C]0.56[/C][C]104.258355626671[/C][C]1.83760961200476[/C][/ROW]
[ROW][C]0.57[/C][C]104.708769442872[/C][C]1.70694391288077[/C][/ROW]
[ROW][C]0.58[/C][C]105.130469245797[/C][C]1.59440632404486[/C][/ROW]
[ROW][C]0.59[/C][C]105.529306003514[/C][C]1.50819393586013[/C][/ROW]
[ROW][C]0.6[/C][C]105.913141416865[/C][C]1.4558926525114[/C][/ROW]
[ROW][C]0.61[/C][C]106.291630955232[/C][C]1.44404885355344[/C][/ROW]
[ROW][C]0.62[/C][C]106.67583186303[/C][C]1.4772781384062[/C][/ROW]
[ROW][C]0.63[/C][C]107.077489925512[/C][C]1.55717814003324[/C][/ROW]
[ROW][C]0.64[/C][C]107.507882160964[/C][C]1.67905666188238[/C][/ROW]
[ROW][C]0.65[/C][C]107.976270678168[/C][C]1.83076992542701[/C][/ROW]
[ROW][C]0.66[/C][C]108.488292851427[/C][C]1.99397503059454[/C][/ROW]
[ROW][C]0.67[/C][C]109.04483777512[/C][C]2.14772715645667[/C][/ROW]
[ROW][C]0.68[/C][C]109.642003632621[/C][C]2.27331959056352[/C][/ROW]
[ROW][C]0.69[/C][C]110.272531019101[/C][C]2.36066499836303[/C][/ROW]
[ROW][C]0.7[/C][C]110.928693556607[/C][C]2.41264155240454[/C][/ROW]
[ROW][C]0.71[/C][C]111.606104436922[/C][C]2.44768889528642[/C][/ROW]
[ROW][C]0.72[/C][C]112.307413834993[/C][C]2.49805173026757[/C][/ROW]
[ROW][C]0.73[/C][C]113.044593835607[/C][C]2.60236773106283[/C][/ROW]
[ROW][C]0.74[/C][C]113.838593202853[/C][C]2.79300179480556[/C][/ROW]
[ROW][C]0.75[/C][C]114.715695689673[/C][C]3.08048880741617[/C][/ROW]
[ROW][C]0.76[/C][C]115.700903911613[/C][C]3.44492923668715[/C][/ROW]
[ROW][C]0.77[/C][C]116.809871592804[/C][C]3.83625568698069[/C][/ROW]
[ROW][C]0.78[/C][C]118.04189695256[/C][C]4.186370058614[/C][/ROW]
[ROW][C]0.79[/C][C]119.37675541297[/C][C]4.42694600231556[/C][/ROW]
[ROW][C]0.8[/C][C]120.777313103043[/C][C]4.51062697058202[/C][/ROW]
[ROW][C]0.81[/C][C]122.197950980217[/C][C]4.42754275396295[/C][/ROW]
[ROW][C]0.82[/C][C]123.59642295269[/C][C]4.21028130185794[/C][/ROW]
[ROW][C]0.83[/C][C]124.944874546165[/C][C]3.92338008480006[/C][/ROW]
[ROW][C]0.84[/C][C]126.235383931852[/C][C]3.64024041623494[/C][/ROW]
[ROW][C]0.85[/C][C]127.477117761328[/C][C]3.41247455621537[/C][/ROW]
[ROW][C]0.86[/C][C]128.685812097939[/C][C]3.24667250287497[/C][/ROW]
[ROW][C]0.87[/C][C]129.870676130176[/C][C]3.10390152881466[/C][/ROW]
[ROW][C]0.88[/C][C]131.026838637588[/C][C]2.92937720214464[/C][/ROW]
[ROW][C]0.89[/C][C]132.140260310523[/C][C]2.69732330316595[/C][/ROW]
[ROW][C]0.9[/C][C]133.205100900526[/C][C]2.44367329348187[/C][/ROW]
[ROW][C]0.91[/C][C]134.244870843808[/C][C]2.25916889747243[/C][/ROW]
[ROW][C]0.92[/C][C]135.328750457859[/C][C]2.24554418522111[/C][/ROW]
[ROW][C]0.93[/C][C]136.587234221567[/C][C]2.4945156851499[/C][/ROW]
[ROW][C]0.94[/C][C]138.235133630127[/C][C]3.12419954200807[/C][/ROW]
[ROW][C]0.95[/C][C]140.584440566694[/C][C]4.18795108521702[/C][/ROW]
[ROW][C]0.96[/C][C]144.040646176271[/C][C]5.52538742854162[/C][/ROW]
[ROW][C]0.97[/C][C]149.197835101443[/C][C]7.09497898116539[/C][/ROW]
[ROW][C]0.98[/C][C]157.139651224388[/C][C]9.08576912040155[/C][/ROW]
[ROW][C]0.99[/C][C]169.074817943097[/C][C]11.2243982012853[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279094&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279094&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
0.0161.58627741074453.82497552518053
0.0265.05889923089271.62796411285079
0.0366.70213883086491.52930641595413
0.0467.85197527107311.49274156904969
0.0568.81218070570481.38405548569176
0.0669.63999736093581.38052668659235
0.0770.41686552061381.53565823175537
0.0871.21529574552141.77110202055853
0.0972.06392531820661.98236106731051
0.172.95047827037912.11182714066154
0.1173.84419360054912.15651608501882
0.1274.71626213170632.14129053572776
0.1375.54889029132062.09335614247871
0.1476.33517047830672.03299137834633
0.1577.07534779264141.9725457740803
0.1677.77290218637561.91604648457521
0.1778.4315161019611.86007138764592
0.1879.05330600576471.79788146901167
0.1979.63859093553211.72465717664835
0.280.18704066677091.64262894152742
0.2180.69951572518351.56083725698163
0.2281.17978032973461.49289002354874
0.2381.63555939430331.45552246115257
0.2482.07877081814831.46526378041626
0.2582.52492953850841.53568927280026
0.2682.99172474826331.67356566660704
0.2783.49681542611951.87450187535237
0.2884.05509665832022.12254535860757
0.2984.67599560113622.39143082069885
0.385.36156378509262.65022131179837
0.3186.10605630559262.87044158406486
0.3286.89728309392413.03176971087197
0.3387.71942080898243.12726844148602
0.3488.556446329133.16422844474515
0.3589.39514426952813.15910869943022
0.3690.22685471920373.13286206161632
0.3791.04765893428383.10283801448852
0.3891.85729216636513.07932149761664
0.3992.65745472571213.06478628899924
0.493.45022720258953.05626829447283
0.4194.23703629841013.04909731648362
0.4295.01825215069863.03888934056172
0.4395.79322639289753.02259738959512
0.4496.56050414931652.99805628359062
0.4597.31803175690222.96303994868168
0.4698.0633206412662.91605473823718
0.4798.79360732911112.85598638683815
0.4899.50603481086272.7828801399589
0.49100.1978179562092.69754965983686
0.5100.8663241575422.60167480191431
0.51101.5090437590942.49573808926535
0.52102.1235173894642.37973109722464
0.53102.7073550778472.2535350236203
0.54103.2584626621792.11820996654698
0.55103.7754855305391.977402662475
0.56104.2583556266711.83760961200476
0.57104.7087694428721.70694391288077
0.58105.1304692457971.59440632404486
0.59105.5293060035141.50819393586013
0.6105.9131414168651.4558926525114
0.61106.2916309552321.44404885355344
0.62106.675831863031.4772781384062
0.63107.0774899255121.55717814003324
0.64107.5078821609641.67905666188238
0.65107.9762706781681.83076992542701
0.66108.4882928514271.99397503059454
0.67109.044837775122.14772715645667
0.68109.6420036326212.27331959056352
0.69110.2725310191012.36066499836303
0.7110.9286935566072.41264155240454
0.71111.6061044369222.44768889528642
0.72112.3074138349932.49805173026757
0.73113.0445938356072.60236773106283
0.74113.8385932028532.79300179480556
0.75114.7156956896733.08048880741617
0.76115.7009039116133.44492923668715
0.77116.8098715928043.83625568698069
0.78118.041896952564.186370058614
0.79119.376755412974.42694600231556
0.8120.7773131030434.51062697058202
0.81122.1979509802174.42754275396295
0.82123.596422952694.21028130185794
0.83124.9448745461653.92338008480006
0.84126.2353839318523.64024041623494
0.85127.4771177613283.41247455621537
0.86128.6858120979393.24667250287497
0.87129.8706761301763.10390152881466
0.88131.0268386375882.92937720214464
0.89132.1402603105232.69732330316595
0.9133.2051009005262.44367329348187
0.91134.2448708438082.25916889747243
0.92135.3287504578592.24554418522111
0.93136.5872342215672.4945156851499
0.94138.2351336301273.12419954200807
0.95140.5844405666944.18795108521702
0.96144.0406461762715.52538742854162
0.97149.1978351014437.09497898116539
0.98157.1396512243889.08576912040155
0.99169.07481794309711.2243982012853


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')