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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 computationWed, 04 Aug 2010 16:31:44 +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/04/t1280939528jbhh9f05hyyki1r.htm/, Retrieved Fri, 03 May 2024 04:42:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78351, Retrieved Fri, 03 May 2024 04:42:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsGosselin Claudia
Estimated Impact103

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] [Tijdsreeks A - st...] [2010-08-04 16:31:44] [f0cd0ad4d4cb2a25864ed1f6cd7bfd87] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
155
154
153
151
171
170
155
145
146
146
147
149
146
155
149
140
155
152
137
127
134
125
132
141
133
143
141
132
144
140
130
122
124
119
128
131
121
123
116
109
116
109
103
98
95
83
92
94
76
75
77
68
80
66
69
67
68
64
72
70
55
55
54
55
67
54
57
53
49
47
64
58
38
41
38
41
60
49
53
55
56
52
68
68
41
46
41
47
62
48
53
61
59
46
69
69
42
42
42
50
64
47
51
66
64
49
71
68
39
30
22
33
46
24
27
45
38
18
36
31

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78351&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78351&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78351&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0120.49846074221623.39429659047785
0.0223.83277835748583.57242552127386
0.0326.87115903891723.93167108675299
0.0429.58190834147784.02379945579295
0.0531.98521528415573.9163078305803
0.0634.06711016662923.62702237201124
0.0735.81793488341523.18698422324321
0.0837.25080981178482.71628096406078
0.0938.41184826059582.33468923604276
0.139.36942695864532.08827409844561
0.1140.19405228194511.97008885512518
0.1240.94554936616731.96498856814984
0.1341.66917617623592.05154341384970
0.1442.39448085795822.18742854279928
0.1543.13436933565282.31735239202937
0.1643.88643668623382.39725048499411
0.1744.63828829977652.41100173173340
0.1845.37541449567782.37307360466719
0.1946.08818811163982.31666890331780
0.246.77521802539792.27667475004484
0.2147.44250251985232.2745424409076
0.2248.09979739818822.31243738827669
0.2348.75635833901852.37673429714299
0.2449.41781312262272.4468305873083
0.2550.08499235261852.50320696652113
0.2650.75467727002982.53370448265852
0.2751.4216767454292.53662980887467
0.2852.08142674624432.52148545195806
0.2952.73232141363452.50638106110336
0.353.37715398573472.5136475204145
0.3154.02331505212292.563865552021
0.3254.6817148176172.66952854594395
0.3355.36470307926292.83107531878535
0.3456.08349023073783.03585959259093
0.3556.8456749014213.26137922366949
0.3657.65343826391993.47965182754356
0.3758.502786219453.66301053106911
0.3859.38395704496463.78877660287700
0.3960.2828365472133.84284980615338
0.461.18301354443633.82092517614006
0.4162.06802356391033.72811105599825
0.4262.92338350618663.57745883795966
0.4363.73818047332563.38711713169996
0.4464.50617351305373.17843734793256
0.4565.22652034499262.97495462030273
0.4665.90429990645932.80276384172383
0.4766.55095789924132.6905074376891
0.4867.18469116034782.67102595121388
0.4967.83066436559372.77874534003475
0.568.52087056224253.04535808920439
0.5169.2934310957233.4955721229523
0.5270.19117736366514.14245222658203
0.5371.25944567082374.98693396142723
0.5472.54312560359996.01582326238869
0.5574.08311935465657.2009732657068
0.5675.91248852776328.49808003960078
0.5778.05267566323459.84822769355118
0.5880.510265944772711.1805697487538
0.5983.274766587467212.4183925340630
0.686.317801999486613.4859265327150
0.6189.593955728483714.3158910257033
0.6293.043274433339714.8558803578908
0.6396.595241378992715.0743705742062
0.64100.17386927553114.9622605044851
0.65103.70345832694714.5352226413366
0.66107.11448681114813.8326568871783
0.67110.34902452548012.9139449747556
0.68113.36500435203811.8538382681054
0.69116.13872535136110.7334870839321
0.7118.6651709887059.63174341952516
0.71120.9561217102438.6146855843175
0.72123.0365194916907.72935441111515
0.73124.9399063949567.00062245540855
0.74126.7038221528746.43301436425537
0.75128.3657629096776.0158642038118
0.76129.9598429376265.72825085394059
0.77131.5139728018085.54020431347457
0.78133.0474160994305.41436550474404
0.79134.5689817742835.30669275717486
0.8136.0765096924085.17345561787361
0.81137.5582981477494.98181975657485
0.82138.9965779303554.71750868603715
0.83140.3723943675304.38697275337453
0.84141.6708509685444.0141661711628
0.85142.8857942705183.63378566094603
0.86144.0232786074923.28644526532732
0.87145.1029735816673.0138908749243
0.88146.1561472586822.84826845737081
0.89147.2189403574062.79397745290642
0.9148.3212367696352.81222007001977
0.91149.4740220761772.8299799026532
0.92150.6599713436532.76612400285451
0.93151.8331641170472.55993306764751
0.94152.9409605210242.20117692832984
0.95154.0069744718151.8103798678938
0.96155.3391922484961.96359534590895
0.97157.7713524052683.80824424351849
0.98162.2281562080846.7245428188408
0.99167.8052364362366.12875608483986

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 20.4984607422162 & 3.39429659047785 \tabularnewline
0.02 & 23.8327783574858 & 3.57242552127386 \tabularnewline
0.03 & 26.8711590389172 & 3.93167108675299 \tabularnewline
0.04 & 29.5819083414778 & 4.02379945579295 \tabularnewline
0.05 & 31.9852152841557 & 3.9163078305803 \tabularnewline
0.06 & 34.0671101666292 & 3.62702237201124 \tabularnewline
0.07 & 35.8179348834152 & 3.18698422324321 \tabularnewline
0.08 & 37.2508098117848 & 2.71628096406078 \tabularnewline
0.09 & 38.4118482605958 & 2.33468923604276 \tabularnewline
0.1 & 39.3694269586453 & 2.08827409844561 \tabularnewline
0.11 & 40.1940522819451 & 1.97008885512518 \tabularnewline
0.12 & 40.9455493661673 & 1.96498856814984 \tabularnewline
0.13 & 41.6691761762359 & 2.05154341384970 \tabularnewline
0.14 & 42.3944808579582 & 2.18742854279928 \tabularnewline
0.15 & 43.1343693356528 & 2.31735239202937 \tabularnewline
0.16 & 43.8864366862338 & 2.39725048499411 \tabularnewline
0.17 & 44.6382882997765 & 2.41100173173340 \tabularnewline
0.18 & 45.3754144956778 & 2.37307360466719 \tabularnewline
0.19 & 46.0881881116398 & 2.31666890331780 \tabularnewline
0.2 & 46.7752180253979 & 2.27667475004484 \tabularnewline
0.21 & 47.4425025198523 & 2.2745424409076 \tabularnewline
0.22 & 48.0997973981882 & 2.31243738827669 \tabularnewline
0.23 & 48.7563583390185 & 2.37673429714299 \tabularnewline
0.24 & 49.4178131226227 & 2.4468305873083 \tabularnewline
0.25 & 50.0849923526185 & 2.50320696652113 \tabularnewline
0.26 & 50.7546772700298 & 2.53370448265852 \tabularnewline
0.27 & 51.421676745429 & 2.53662980887467 \tabularnewline
0.28 & 52.0814267462443 & 2.52148545195806 \tabularnewline
0.29 & 52.7323214136345 & 2.50638106110336 \tabularnewline
0.3 & 53.3771539857347 & 2.5136475204145 \tabularnewline
0.31 & 54.0233150521229 & 2.563865552021 \tabularnewline
0.32 & 54.681714817617 & 2.66952854594395 \tabularnewline
0.33 & 55.3647030792629 & 2.83107531878535 \tabularnewline
0.34 & 56.0834902307378 & 3.03585959259093 \tabularnewline
0.35 & 56.845674901421 & 3.26137922366949 \tabularnewline
0.36 & 57.6534382639199 & 3.47965182754356 \tabularnewline
0.37 & 58.50278621945 & 3.66301053106911 \tabularnewline
0.38 & 59.3839570449646 & 3.78877660287700 \tabularnewline
0.39 & 60.282836547213 & 3.84284980615338 \tabularnewline
0.4 & 61.1830135444363 & 3.82092517614006 \tabularnewline
0.41 & 62.0680235639103 & 3.72811105599825 \tabularnewline
0.42 & 62.9233835061866 & 3.57745883795966 \tabularnewline
0.43 & 63.7381804733256 & 3.38711713169996 \tabularnewline
0.44 & 64.5061735130537 & 3.17843734793256 \tabularnewline
0.45 & 65.2265203449926 & 2.97495462030273 \tabularnewline
0.46 & 65.9042999064593 & 2.80276384172383 \tabularnewline
0.47 & 66.5509578992413 & 2.6905074376891 \tabularnewline
0.48 & 67.1846911603478 & 2.67102595121388 \tabularnewline
0.49 & 67.8306643655937 & 2.77874534003475 \tabularnewline
0.5 & 68.5208705622425 & 3.04535808920439 \tabularnewline
0.51 & 69.293431095723 & 3.4955721229523 \tabularnewline
0.52 & 70.1911773636651 & 4.14245222658203 \tabularnewline
0.53 & 71.2594456708237 & 4.98693396142723 \tabularnewline
0.54 & 72.5431256035999 & 6.01582326238869 \tabularnewline
0.55 & 74.0831193546565 & 7.2009732657068 \tabularnewline
0.56 & 75.9124885277632 & 8.49808003960078 \tabularnewline
0.57 & 78.0526756632345 & 9.84822769355118 \tabularnewline
0.58 & 80.5102659447727 & 11.1805697487538 \tabularnewline
0.59 & 83.2747665874672 & 12.4183925340630 \tabularnewline
0.6 & 86.3178019994866 & 13.4859265327150 \tabularnewline
0.61 & 89.5939557284837 & 14.3158910257033 \tabularnewline
0.62 & 93.0432744333397 & 14.8558803578908 \tabularnewline
0.63 & 96.5952413789927 & 15.0743705742062 \tabularnewline
0.64 & 100.173869275531 & 14.9622605044851 \tabularnewline
0.65 & 103.703458326947 & 14.5352226413366 \tabularnewline
0.66 & 107.114486811148 & 13.8326568871783 \tabularnewline
0.67 & 110.349024525480 & 12.9139449747556 \tabularnewline
0.68 & 113.365004352038 & 11.8538382681054 \tabularnewline
0.69 & 116.138725351361 & 10.7334870839321 \tabularnewline
0.7 & 118.665170988705 & 9.63174341952516 \tabularnewline
0.71 & 120.956121710243 & 8.6146855843175 \tabularnewline
0.72 & 123.036519491690 & 7.72935441111515 \tabularnewline
0.73 & 124.939906394956 & 7.00062245540855 \tabularnewline
0.74 & 126.703822152874 & 6.43301436425537 \tabularnewline
0.75 & 128.365762909677 & 6.0158642038118 \tabularnewline
0.76 & 129.959842937626 & 5.72825085394059 \tabularnewline
0.77 & 131.513972801808 & 5.54020431347457 \tabularnewline
0.78 & 133.047416099430 & 5.41436550474404 \tabularnewline
0.79 & 134.568981774283 & 5.30669275717486 \tabularnewline
0.8 & 136.076509692408 & 5.17345561787361 \tabularnewline
0.81 & 137.558298147749 & 4.98181975657485 \tabularnewline
0.82 & 138.996577930355 & 4.71750868603715 \tabularnewline
0.83 & 140.372394367530 & 4.38697275337453 \tabularnewline
0.84 & 141.670850968544 & 4.0141661711628 \tabularnewline
0.85 & 142.885794270518 & 3.63378566094603 \tabularnewline
0.86 & 144.023278607492 & 3.28644526532732 \tabularnewline
0.87 & 145.102973581667 & 3.0138908749243 \tabularnewline
0.88 & 146.156147258682 & 2.84826845737081 \tabularnewline
0.89 & 147.218940357406 & 2.79397745290642 \tabularnewline
0.9 & 148.321236769635 & 2.81222007001977 \tabularnewline
0.91 & 149.474022076177 & 2.8299799026532 \tabularnewline
0.92 & 150.659971343653 & 2.76612400285451 \tabularnewline
0.93 & 151.833164117047 & 2.55993306764751 \tabularnewline
0.94 & 152.940960521024 & 2.20117692832984 \tabularnewline
0.95 & 154.006974471815 & 1.8103798678938 \tabularnewline
0.96 & 155.339192248496 & 1.96359534590895 \tabularnewline
0.97 & 157.771352405268 & 3.80824424351849 \tabularnewline
0.98 & 162.228156208084 & 6.7245428188408 \tabularnewline
0.99 & 167.805236436236 & 6.12875608483986 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78351&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]20.4984607422162[/C][C]3.39429659047785[/C][/ROW]
[ROW][C]0.02[/C][C]23.8327783574858[/C][C]3.57242552127386[/C][/ROW]
[ROW][C]0.03[/C][C]26.8711590389172[/C][C]3.93167108675299[/C][/ROW]
[ROW][C]0.04[/C][C]29.5819083414778[/C][C]4.02379945579295[/C][/ROW]
[ROW][C]0.05[/C][C]31.9852152841557[/C][C]3.9163078305803[/C][/ROW]
[ROW][C]0.06[/C][C]34.0671101666292[/C][C]3.62702237201124[/C][/ROW]
[ROW][C]0.07[/C][C]35.8179348834152[/C][C]3.18698422324321[/C][/ROW]
[ROW][C]0.08[/C][C]37.2508098117848[/C][C]2.71628096406078[/C][/ROW]
[ROW][C]0.09[/C][C]38.4118482605958[/C][C]2.33468923604276[/C][/ROW]
[ROW][C]0.1[/C][C]39.3694269586453[/C][C]2.08827409844561[/C][/ROW]
[ROW][C]0.11[/C][C]40.1940522819451[/C][C]1.97008885512518[/C][/ROW]
[ROW][C]0.12[/C][C]40.9455493661673[/C][C]1.96498856814984[/C][/ROW]
[ROW][C]0.13[/C][C]41.6691761762359[/C][C]2.05154341384970[/C][/ROW]
[ROW][C]0.14[/C][C]42.3944808579582[/C][C]2.18742854279928[/C][/ROW]
[ROW][C]0.15[/C][C]43.1343693356528[/C][C]2.31735239202937[/C][/ROW]
[ROW][C]0.16[/C][C]43.8864366862338[/C][C]2.39725048499411[/C][/ROW]
[ROW][C]0.17[/C][C]44.6382882997765[/C][C]2.41100173173340[/C][/ROW]
[ROW][C]0.18[/C][C]45.3754144956778[/C][C]2.37307360466719[/C][/ROW]
[ROW][C]0.19[/C][C]46.0881881116398[/C][C]2.31666890331780[/C][/ROW]
[ROW][C]0.2[/C][C]46.7752180253979[/C][C]2.27667475004484[/C][/ROW]
[ROW][C]0.21[/C][C]47.4425025198523[/C][C]2.2745424409076[/C][/ROW]
[ROW][C]0.22[/C][C]48.0997973981882[/C][C]2.31243738827669[/C][/ROW]
[ROW][C]0.23[/C][C]48.7563583390185[/C][C]2.37673429714299[/C][/ROW]
[ROW][C]0.24[/C][C]49.4178131226227[/C][C]2.4468305873083[/C][/ROW]
[ROW][C]0.25[/C][C]50.0849923526185[/C][C]2.50320696652113[/C][/ROW]
[ROW][C]0.26[/C][C]50.7546772700298[/C][C]2.53370448265852[/C][/ROW]
[ROW][C]0.27[/C][C]51.421676745429[/C][C]2.53662980887467[/C][/ROW]
[ROW][C]0.28[/C][C]52.0814267462443[/C][C]2.52148545195806[/C][/ROW]
[ROW][C]0.29[/C][C]52.7323214136345[/C][C]2.50638106110336[/C][/ROW]
[ROW][C]0.3[/C][C]53.3771539857347[/C][C]2.5136475204145[/C][/ROW]
[ROW][C]0.31[/C][C]54.0233150521229[/C][C]2.563865552021[/C][/ROW]
[ROW][C]0.32[/C][C]54.681714817617[/C][C]2.66952854594395[/C][/ROW]
[ROW][C]0.33[/C][C]55.3647030792629[/C][C]2.83107531878535[/C][/ROW]
[ROW][C]0.34[/C][C]56.0834902307378[/C][C]3.03585959259093[/C][/ROW]
[ROW][C]0.35[/C][C]56.845674901421[/C][C]3.26137922366949[/C][/ROW]
[ROW][C]0.36[/C][C]57.6534382639199[/C][C]3.47965182754356[/C][/ROW]
[ROW][C]0.37[/C][C]58.50278621945[/C][C]3.66301053106911[/C][/ROW]
[ROW][C]0.38[/C][C]59.3839570449646[/C][C]3.78877660287700[/C][/ROW]
[ROW][C]0.39[/C][C]60.282836547213[/C][C]3.84284980615338[/C][/ROW]
[ROW][C]0.4[/C][C]61.1830135444363[/C][C]3.82092517614006[/C][/ROW]
[ROW][C]0.41[/C][C]62.0680235639103[/C][C]3.72811105599825[/C][/ROW]
[ROW][C]0.42[/C][C]62.9233835061866[/C][C]3.57745883795966[/C][/ROW]
[ROW][C]0.43[/C][C]63.7381804733256[/C][C]3.38711713169996[/C][/ROW]
[ROW][C]0.44[/C][C]64.5061735130537[/C][C]3.17843734793256[/C][/ROW]
[ROW][C]0.45[/C][C]65.2265203449926[/C][C]2.97495462030273[/C][/ROW]
[ROW][C]0.46[/C][C]65.9042999064593[/C][C]2.80276384172383[/C][/ROW]
[ROW][C]0.47[/C][C]66.5509578992413[/C][C]2.6905074376891[/C][/ROW]
[ROW][C]0.48[/C][C]67.1846911603478[/C][C]2.67102595121388[/C][/ROW]
[ROW][C]0.49[/C][C]67.8306643655937[/C][C]2.77874534003475[/C][/ROW]
[ROW][C]0.5[/C][C]68.5208705622425[/C][C]3.04535808920439[/C][/ROW]
[ROW][C]0.51[/C][C]69.293431095723[/C][C]3.4955721229523[/C][/ROW]
[ROW][C]0.52[/C][C]70.1911773636651[/C][C]4.14245222658203[/C][/ROW]
[ROW][C]0.53[/C][C]71.2594456708237[/C][C]4.98693396142723[/C][/ROW]
[ROW][C]0.54[/C][C]72.5431256035999[/C][C]6.01582326238869[/C][/ROW]
[ROW][C]0.55[/C][C]74.0831193546565[/C][C]7.2009732657068[/C][/ROW]
[ROW][C]0.56[/C][C]75.9124885277632[/C][C]8.49808003960078[/C][/ROW]
[ROW][C]0.57[/C][C]78.0526756632345[/C][C]9.84822769355118[/C][/ROW]
[ROW][C]0.58[/C][C]80.5102659447727[/C][C]11.1805697487538[/C][/ROW]
[ROW][C]0.59[/C][C]83.2747665874672[/C][C]12.4183925340630[/C][/ROW]
[ROW][C]0.6[/C][C]86.3178019994866[/C][C]13.4859265327150[/C][/ROW]
[ROW][C]0.61[/C][C]89.5939557284837[/C][C]14.3158910257033[/C][/ROW]
[ROW][C]0.62[/C][C]93.0432744333397[/C][C]14.8558803578908[/C][/ROW]
[ROW][C]0.63[/C][C]96.5952413789927[/C][C]15.0743705742062[/C][/ROW]
[ROW][C]0.64[/C][C]100.173869275531[/C][C]14.9622605044851[/C][/ROW]
[ROW][C]0.65[/C][C]103.703458326947[/C][C]14.5352226413366[/C][/ROW]
[ROW][C]0.66[/C][C]107.114486811148[/C][C]13.8326568871783[/C][/ROW]
[ROW][C]0.67[/C][C]110.349024525480[/C][C]12.9139449747556[/C][/ROW]
[ROW][C]0.68[/C][C]113.365004352038[/C][C]11.8538382681054[/C][/ROW]
[ROW][C]0.69[/C][C]116.138725351361[/C][C]10.7334870839321[/C][/ROW]
[ROW][C]0.7[/C][C]118.665170988705[/C][C]9.63174341952516[/C][/ROW]
[ROW][C]0.71[/C][C]120.956121710243[/C][C]8.6146855843175[/C][/ROW]
[ROW][C]0.72[/C][C]123.036519491690[/C][C]7.72935441111515[/C][/ROW]
[ROW][C]0.73[/C][C]124.939906394956[/C][C]7.00062245540855[/C][/ROW]
[ROW][C]0.74[/C][C]126.703822152874[/C][C]6.43301436425537[/C][/ROW]
[ROW][C]0.75[/C][C]128.365762909677[/C][C]6.0158642038118[/C][/ROW]
[ROW][C]0.76[/C][C]129.959842937626[/C][C]5.72825085394059[/C][/ROW]
[ROW][C]0.77[/C][C]131.513972801808[/C][C]5.54020431347457[/C][/ROW]
[ROW][C]0.78[/C][C]133.047416099430[/C][C]5.41436550474404[/C][/ROW]
[ROW][C]0.79[/C][C]134.568981774283[/C][C]5.30669275717486[/C][/ROW]
[ROW][C]0.8[/C][C]136.076509692408[/C][C]5.17345561787361[/C][/ROW]
[ROW][C]0.81[/C][C]137.558298147749[/C][C]4.98181975657485[/C][/ROW]
[ROW][C]0.82[/C][C]138.996577930355[/C][C]4.71750868603715[/C][/ROW]
[ROW][C]0.83[/C][C]140.372394367530[/C][C]4.38697275337453[/C][/ROW]
[ROW][C]0.84[/C][C]141.670850968544[/C][C]4.0141661711628[/C][/ROW]
[ROW][C]0.85[/C][C]142.885794270518[/C][C]3.63378566094603[/C][/ROW]
[ROW][C]0.86[/C][C]144.023278607492[/C][C]3.28644526532732[/C][/ROW]
[ROW][C]0.87[/C][C]145.102973581667[/C][C]3.0138908749243[/C][/ROW]
[ROW][C]0.88[/C][C]146.156147258682[/C][C]2.84826845737081[/C][/ROW]
[ROW][C]0.89[/C][C]147.218940357406[/C][C]2.79397745290642[/C][/ROW]
[ROW][C]0.9[/C][C]148.321236769635[/C][C]2.81222007001977[/C][/ROW]
[ROW][C]0.91[/C][C]149.474022076177[/C][C]2.8299799026532[/C][/ROW]
[ROW][C]0.92[/C][C]150.659971343653[/C][C]2.76612400285451[/C][/ROW]
[ROW][C]0.93[/C][C]151.833164117047[/C][C]2.55993306764751[/C][/ROW]
[ROW][C]0.94[/C][C]152.940960521024[/C][C]2.20117692832984[/C][/ROW]
[ROW][C]0.95[/C][C]154.006974471815[/C][C]1.8103798678938[/C][/ROW]
[ROW][C]0.96[/C][C]155.339192248496[/C][C]1.96359534590895[/C][/ROW]
[ROW][C]0.97[/C][C]157.771352405268[/C][C]3.80824424351849[/C][/ROW]
[ROW][C]0.98[/C][C]162.228156208084[/C][C]6.7245428188408[/C][/ROW]
[ROW][C]0.99[/C][C]167.805236436236[/C][C]6.12875608483986[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78351&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78351&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
0.0120.49846074221623.39429659047785
0.0223.83277835748583.57242552127386
0.0326.87115903891723.93167108675299
0.0429.58190834147784.02379945579295
0.0531.98521528415573.9163078305803
0.0634.06711016662923.62702237201124
0.0735.81793488341523.18698422324321
0.0837.25080981178482.71628096406078
0.0938.41184826059582.33468923604276
0.139.36942695864532.08827409844561
0.1140.19405228194511.97008885512518
0.1240.94554936616731.96498856814984
0.1341.66917617623592.05154341384970
0.1442.39448085795822.18742854279928
0.1543.13436933565282.31735239202937
0.1643.88643668623382.39725048499411
0.1744.63828829977652.41100173173340
0.1845.37541449567782.37307360466719
0.1946.08818811163982.31666890331780
0.246.77521802539792.27667475004484
0.2147.44250251985232.2745424409076
0.2248.09979739818822.31243738827669
0.2348.75635833901852.37673429714299
0.2449.41781312262272.4468305873083
0.2550.08499235261852.50320696652113
0.2650.75467727002982.53370448265852
0.2751.4216767454292.53662980887467
0.2852.08142674624432.52148545195806
0.2952.73232141363452.50638106110336
0.353.37715398573472.5136475204145
0.3154.02331505212292.563865552021
0.3254.6817148176172.66952854594395
0.3355.36470307926292.83107531878535
0.3456.08349023073783.03585959259093
0.3556.8456749014213.26137922366949
0.3657.65343826391993.47965182754356
0.3758.502786219453.66301053106911
0.3859.38395704496463.78877660287700
0.3960.2828365472133.84284980615338
0.461.18301354443633.82092517614006
0.4162.06802356391033.72811105599825
0.4262.92338350618663.57745883795966
0.4363.73818047332563.38711713169996
0.4464.50617351305373.17843734793256
0.4565.22652034499262.97495462030273
0.4665.90429990645932.80276384172383
0.4766.55095789924132.6905074376891
0.4867.18469116034782.67102595121388
0.4967.83066436559372.77874534003475
0.568.52087056224253.04535808920439
0.5169.2934310957233.4955721229523
0.5270.19117736366514.14245222658203
0.5371.25944567082374.98693396142723
0.5472.54312560359996.01582326238869
0.5574.08311935465657.2009732657068
0.5675.91248852776328.49808003960078
0.5778.05267566323459.84822769355118
0.5880.510265944772711.1805697487538
0.5983.274766587467212.4183925340630
0.686.317801999486613.4859265327150
0.6189.593955728483714.3158910257033
0.6293.043274433339714.8558803578908
0.6396.595241378992715.0743705742062
0.64100.17386927553114.9622605044851
0.65103.70345832694714.5352226413366
0.66107.11448681114813.8326568871783
0.67110.34902452548012.9139449747556
0.68113.36500435203811.8538382681054
0.69116.13872535136110.7334870839321
0.7118.6651709887059.63174341952516
0.71120.9561217102438.6146855843175
0.72123.0365194916907.72935441111515
0.73124.9399063949567.00062245540855
0.74126.7038221528746.43301436425537
0.75128.3657629096776.0158642038118
0.76129.9598429376265.72825085394059
0.77131.5139728018085.54020431347457
0.78133.0474160994305.41436550474404
0.79134.5689817742835.30669275717486
0.8136.0765096924085.17345561787361
0.81137.5582981477494.98181975657485
0.82138.9965779303554.71750868603715
0.83140.3723943675304.38697275337453
0.84141.6708509685444.0141661711628
0.85142.8857942705183.63378566094603
0.86144.0232786074923.28644526532732
0.87145.1029735816673.0138908749243
0.88146.1561472586822.84826845737081
0.89147.2189403574062.79397745290642
0.9148.3212367696352.81222007001977
0.91149.4740220761772.8299799026532
0.92150.6599713436532.76612400285451
0.93151.8331641170472.55993306764751
0.94152.9409605210242.20117692832984
0.95154.0069744718151.8103798678938
0.96155.3391922484961.96359534590895
0.97157.7713524052683.80824424351849
0.98162.2281562080846.7245428188408
0.99167.8052364362366.12875608483986


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')