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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, 16 Feb 2012 17:41:03 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/16/t1329432110oqns94e41h32sgo.htm/, Retrieved Sun, 28 Apr 2024 17:34:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162721, Retrieved Sun, 28 Apr 2024 17:34:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact63

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] [studio 100 maximu...] [2012-02-16 22:04:43] [5d13964b1b0792cd82c7ddfb92d8771e]
-    D    [Harrell-Davis Quantiles] [prijsindex katten...] [2012-02-16 22:41:03] [61c74c688bd5b30d4ef8812aa8043069] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100.34
100.21
100.44
101.59
102.44
103.1
103.34
103.44
103.35
103.67
104.13
104.27
104.75
104.82
104.69
104.87
104.74
104.85
104.8
104.13
104.02
104.46
105.58
106.94
108.41
109.05
108.75
108.96
108.46
107.51
107.27
106.72
108.94
112.02
112.46
113.56
113.64
114.13
116.44
117.71
117.57
117.25
117.33
117.36
117.18
117.21
117.44
117.54
119.07
118.5
118.69
118.38
118.45
117.88
118.52
118.26
118.39
117.87
118.36
117.91

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'AstonUniversity' @ aston.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 & 2 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162721&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162721&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162721&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'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01100.2687547222050.193530474070692
0.02100.3950322823930.371360129249852
0.03100.5956015496940.610089108668256
0.04100.8660446128050.834777055713514
0.05101.1898224677270.990467050444843
0.06101.5418575391581.05558969936009
0.07101.8953623741031.03770558870504
0.08102.2281777815040.961000144101127
0.09102.5262039493830.853725905882735
0.1102.7837129353450.740522729459182
0.11103.0016172344980.63865106545977
0.12103.1849729670940.557916868994111
0.13103.3406329502940.500943584751907
0.14103.4755009645390.464917732718951
0.15103.5954899208160.444107298282791
0.16103.705089139250.432073093289103
0.17103.8073645654330.424064258999966
0.18103.9042073831090.416952365423299
0.19103.9966784520740.409423904405274
0.2104.0853453265970.401187593987927
0.21104.1705587013570.392904004574119
0.22104.2526548100830.385325859733134
0.23104.3320941285370.379544380612001
0.24104.4095547903410.377419214408495
0.25104.4859955755460.380572543999975
0.26104.5626942055810.391810598597628
0.27104.6412576928340.413602636532056
0.28104.7235965693750.448410197435415
0.29104.8118555049760.49739986876297
0.3104.9082985134350.561143615778801
0.31105.0151555823280.63825839812291
0.32105.134446503220.726386519929841
0.33105.267804474080.822266706964236
0.34105.4163249761070.921693676914574
0.35105.5804637846821.02050775245161
0.36105.7600020746511.11429558356439
0.37105.9540875709931.19943373768628
0.38106.1613502257491.27353270717504
0.39106.380080735911.33501092254613
0.4106.6084518828051.38408329259062
0.41106.8447572169871.42241648405067
0.42107.0876395002031.45316478919895
0.43107.336282488111.48061104736564
0.44107.5905436615061.50958436427858
0.45107.8510117654571.54551970749161
0.46108.1189808131661.59314254789448
0.47108.3963408645991.65619462503233
0.48108.6853946703151.73658111076182
0.49108.9886173566821.83436697089831
0.5109.3083827941481.94738690828876
0.51109.6466841984642.07145811249258
0.52110.0048771155372.20097310236357
0.53110.3834699242832.32925222492916
0.54110.781980697332.4496070797306
0.55111.1988707301852.55540172361466
0.56111.6315558721652.64046919660409
0.57112.0764887260162.69993852224673
0.58112.5292992776692.72991746166843
0.59112.9849792773282.72772895962104
0.6113.4380964490712.69231834859126
0.61113.8830272015512.62354966710134
0.62114.3141992989022.52245476018161
0.63114.7263373785822.39174842925296
0.64115.1147033993772.23481198339494
0.65115.4753212326412.05660728825154
0.66115.8051708668751.86289683788923
0.67116.1023349144611.66038181623348
0.68116.3660801193751.45595137860324
0.69116.5968605105541.25679195490971
0.7116.7962367125551.06904279045592
0.71116.9667164404830.898217232237562
0.72117.1115321511420.74817840743243
0.73117.2343806525790.621340181048945
0.74117.339154041980.518517634567672
0.75117.4296905034940.438898738775425
0.76117.509567434660.380714803288615
0.77117.5819495649340.340699708187837
0.78117.6494936212260.315397269356582
0.79117.7143015077380.300880468920705
0.8117.7779084157890.293627343301834
0.81117.8412922590690.290529951968426
0.82117.904896221710.288809494192848
0.83117.9686649898990.286159523060174
0.84118.0321037544740.280508720463922
0.85118.0943730420520.270177050840342
0.86118.1544286862840.254468227021536
0.87118.21120471810.233394484087172
0.88118.2638219728550.208137829248219
0.89118.3117950299440.180640544789206
0.9118.3552138603560.153556219108722
0.91118.3948992216270.12966760447917
0.92118.4325674122720.111596176920414
0.93118.4710687422870.101921373943976
0.94118.5147325448520.103388591673139
0.95118.5696501635860.118814781728575
0.96118.6431959760220.150135097427726
0.97118.7412511520090.198090212569375
0.98118.8614274121110.260362582316397
0.99118.983835818780.326207825568006

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 100.268754722205 & 0.193530474070692 \tabularnewline
0.02 & 100.395032282393 & 0.371360129249852 \tabularnewline
0.03 & 100.595601549694 & 0.610089108668256 \tabularnewline
0.04 & 100.866044612805 & 0.834777055713514 \tabularnewline
0.05 & 101.189822467727 & 0.990467050444843 \tabularnewline
0.06 & 101.541857539158 & 1.05558969936009 \tabularnewline
0.07 & 101.895362374103 & 1.03770558870504 \tabularnewline
0.08 & 102.228177781504 & 0.961000144101127 \tabularnewline
0.09 & 102.526203949383 & 0.853725905882735 \tabularnewline
0.1 & 102.783712935345 & 0.740522729459182 \tabularnewline
0.11 & 103.001617234498 & 0.63865106545977 \tabularnewline
0.12 & 103.184972967094 & 0.557916868994111 \tabularnewline
0.13 & 103.340632950294 & 0.500943584751907 \tabularnewline
0.14 & 103.475500964539 & 0.464917732718951 \tabularnewline
0.15 & 103.595489920816 & 0.444107298282791 \tabularnewline
0.16 & 103.70508913925 & 0.432073093289103 \tabularnewline
0.17 & 103.807364565433 & 0.424064258999966 \tabularnewline
0.18 & 103.904207383109 & 0.416952365423299 \tabularnewline
0.19 & 103.996678452074 & 0.409423904405274 \tabularnewline
0.2 & 104.085345326597 & 0.401187593987927 \tabularnewline
0.21 & 104.170558701357 & 0.392904004574119 \tabularnewline
0.22 & 104.252654810083 & 0.385325859733134 \tabularnewline
0.23 & 104.332094128537 & 0.379544380612001 \tabularnewline
0.24 & 104.409554790341 & 0.377419214408495 \tabularnewline
0.25 & 104.485995575546 & 0.380572543999975 \tabularnewline
0.26 & 104.562694205581 & 0.391810598597628 \tabularnewline
0.27 & 104.641257692834 & 0.413602636532056 \tabularnewline
0.28 & 104.723596569375 & 0.448410197435415 \tabularnewline
0.29 & 104.811855504976 & 0.49739986876297 \tabularnewline
0.3 & 104.908298513435 & 0.561143615778801 \tabularnewline
0.31 & 105.015155582328 & 0.63825839812291 \tabularnewline
0.32 & 105.13444650322 & 0.726386519929841 \tabularnewline
0.33 & 105.26780447408 & 0.822266706964236 \tabularnewline
0.34 & 105.416324976107 & 0.921693676914574 \tabularnewline
0.35 & 105.580463784682 & 1.02050775245161 \tabularnewline
0.36 & 105.760002074651 & 1.11429558356439 \tabularnewline
0.37 & 105.954087570993 & 1.19943373768628 \tabularnewline
0.38 & 106.161350225749 & 1.27353270717504 \tabularnewline
0.39 & 106.38008073591 & 1.33501092254613 \tabularnewline
0.4 & 106.608451882805 & 1.38408329259062 \tabularnewline
0.41 & 106.844757216987 & 1.42241648405067 \tabularnewline
0.42 & 107.087639500203 & 1.45316478919895 \tabularnewline
0.43 & 107.33628248811 & 1.48061104736564 \tabularnewline
0.44 & 107.590543661506 & 1.50958436427858 \tabularnewline
0.45 & 107.851011765457 & 1.54551970749161 \tabularnewline
0.46 & 108.118980813166 & 1.59314254789448 \tabularnewline
0.47 & 108.396340864599 & 1.65619462503233 \tabularnewline
0.48 & 108.685394670315 & 1.73658111076182 \tabularnewline
0.49 & 108.988617356682 & 1.83436697089831 \tabularnewline
0.5 & 109.308382794148 & 1.94738690828876 \tabularnewline
0.51 & 109.646684198464 & 2.07145811249258 \tabularnewline
0.52 & 110.004877115537 & 2.20097310236357 \tabularnewline
0.53 & 110.383469924283 & 2.32925222492916 \tabularnewline
0.54 & 110.78198069733 & 2.4496070797306 \tabularnewline
0.55 & 111.198870730185 & 2.55540172361466 \tabularnewline
0.56 & 111.631555872165 & 2.64046919660409 \tabularnewline
0.57 & 112.076488726016 & 2.69993852224673 \tabularnewline
0.58 & 112.529299277669 & 2.72991746166843 \tabularnewline
0.59 & 112.984979277328 & 2.72772895962104 \tabularnewline
0.6 & 113.438096449071 & 2.69231834859126 \tabularnewline
0.61 & 113.883027201551 & 2.62354966710134 \tabularnewline
0.62 & 114.314199298902 & 2.52245476018161 \tabularnewline
0.63 & 114.726337378582 & 2.39174842925296 \tabularnewline
0.64 & 115.114703399377 & 2.23481198339494 \tabularnewline
0.65 & 115.475321232641 & 2.05660728825154 \tabularnewline
0.66 & 115.805170866875 & 1.86289683788923 \tabularnewline
0.67 & 116.102334914461 & 1.66038181623348 \tabularnewline
0.68 & 116.366080119375 & 1.45595137860324 \tabularnewline
0.69 & 116.596860510554 & 1.25679195490971 \tabularnewline
0.7 & 116.796236712555 & 1.06904279045592 \tabularnewline
0.71 & 116.966716440483 & 0.898217232237562 \tabularnewline
0.72 & 117.111532151142 & 0.74817840743243 \tabularnewline
0.73 & 117.234380652579 & 0.621340181048945 \tabularnewline
0.74 & 117.33915404198 & 0.518517634567672 \tabularnewline
0.75 & 117.429690503494 & 0.438898738775425 \tabularnewline
0.76 & 117.50956743466 & 0.380714803288615 \tabularnewline
0.77 & 117.581949564934 & 0.340699708187837 \tabularnewline
0.78 & 117.649493621226 & 0.315397269356582 \tabularnewline
0.79 & 117.714301507738 & 0.300880468920705 \tabularnewline
0.8 & 117.777908415789 & 0.293627343301834 \tabularnewline
0.81 & 117.841292259069 & 0.290529951968426 \tabularnewline
0.82 & 117.90489622171 & 0.288809494192848 \tabularnewline
0.83 & 117.968664989899 & 0.286159523060174 \tabularnewline
0.84 & 118.032103754474 & 0.280508720463922 \tabularnewline
0.85 & 118.094373042052 & 0.270177050840342 \tabularnewline
0.86 & 118.154428686284 & 0.254468227021536 \tabularnewline
0.87 & 118.2112047181 & 0.233394484087172 \tabularnewline
0.88 & 118.263821972855 & 0.208137829248219 \tabularnewline
0.89 & 118.311795029944 & 0.180640544789206 \tabularnewline
0.9 & 118.355213860356 & 0.153556219108722 \tabularnewline
0.91 & 118.394899221627 & 0.12966760447917 \tabularnewline
0.92 & 118.432567412272 & 0.111596176920414 \tabularnewline
0.93 & 118.471068742287 & 0.101921373943976 \tabularnewline
0.94 & 118.514732544852 & 0.103388591673139 \tabularnewline
0.95 & 118.569650163586 & 0.118814781728575 \tabularnewline
0.96 & 118.643195976022 & 0.150135097427726 \tabularnewline
0.97 & 118.741251152009 & 0.198090212569375 \tabularnewline
0.98 & 118.861427412111 & 0.260362582316397 \tabularnewline
0.99 & 118.98383581878 & 0.326207825568006 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162721&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]100.268754722205[/C][C]0.193530474070692[/C][/ROW]
[ROW][C]0.02[/C][C]100.395032282393[/C][C]0.371360129249852[/C][/ROW]
[ROW][C]0.03[/C][C]100.595601549694[/C][C]0.610089108668256[/C][/ROW]
[ROW][C]0.04[/C][C]100.866044612805[/C][C]0.834777055713514[/C][/ROW]
[ROW][C]0.05[/C][C]101.189822467727[/C][C]0.990467050444843[/C][/ROW]
[ROW][C]0.06[/C][C]101.541857539158[/C][C]1.05558969936009[/C][/ROW]
[ROW][C]0.07[/C][C]101.895362374103[/C][C]1.03770558870504[/C][/ROW]
[ROW][C]0.08[/C][C]102.228177781504[/C][C]0.961000144101127[/C][/ROW]
[ROW][C]0.09[/C][C]102.526203949383[/C][C]0.853725905882735[/C][/ROW]
[ROW][C]0.1[/C][C]102.783712935345[/C][C]0.740522729459182[/C][/ROW]
[ROW][C]0.11[/C][C]103.001617234498[/C][C]0.63865106545977[/C][/ROW]
[ROW][C]0.12[/C][C]103.184972967094[/C][C]0.557916868994111[/C][/ROW]
[ROW][C]0.13[/C][C]103.340632950294[/C][C]0.500943584751907[/C][/ROW]
[ROW][C]0.14[/C][C]103.475500964539[/C][C]0.464917732718951[/C][/ROW]
[ROW][C]0.15[/C][C]103.595489920816[/C][C]0.444107298282791[/C][/ROW]
[ROW][C]0.16[/C][C]103.70508913925[/C][C]0.432073093289103[/C][/ROW]
[ROW][C]0.17[/C][C]103.807364565433[/C][C]0.424064258999966[/C][/ROW]
[ROW][C]0.18[/C][C]103.904207383109[/C][C]0.416952365423299[/C][/ROW]
[ROW][C]0.19[/C][C]103.996678452074[/C][C]0.409423904405274[/C][/ROW]
[ROW][C]0.2[/C][C]104.085345326597[/C][C]0.401187593987927[/C][/ROW]
[ROW][C]0.21[/C][C]104.170558701357[/C][C]0.392904004574119[/C][/ROW]
[ROW][C]0.22[/C][C]104.252654810083[/C][C]0.385325859733134[/C][/ROW]
[ROW][C]0.23[/C][C]104.332094128537[/C][C]0.379544380612001[/C][/ROW]
[ROW][C]0.24[/C][C]104.409554790341[/C][C]0.377419214408495[/C][/ROW]
[ROW][C]0.25[/C][C]104.485995575546[/C][C]0.380572543999975[/C][/ROW]
[ROW][C]0.26[/C][C]104.562694205581[/C][C]0.391810598597628[/C][/ROW]
[ROW][C]0.27[/C][C]104.641257692834[/C][C]0.413602636532056[/C][/ROW]
[ROW][C]0.28[/C][C]104.723596569375[/C][C]0.448410197435415[/C][/ROW]
[ROW][C]0.29[/C][C]104.811855504976[/C][C]0.49739986876297[/C][/ROW]
[ROW][C]0.3[/C][C]104.908298513435[/C][C]0.561143615778801[/C][/ROW]
[ROW][C]0.31[/C][C]105.015155582328[/C][C]0.63825839812291[/C][/ROW]
[ROW][C]0.32[/C][C]105.13444650322[/C][C]0.726386519929841[/C][/ROW]
[ROW][C]0.33[/C][C]105.26780447408[/C][C]0.822266706964236[/C][/ROW]
[ROW][C]0.34[/C][C]105.416324976107[/C][C]0.921693676914574[/C][/ROW]
[ROW][C]0.35[/C][C]105.580463784682[/C][C]1.02050775245161[/C][/ROW]
[ROW][C]0.36[/C][C]105.760002074651[/C][C]1.11429558356439[/C][/ROW]
[ROW][C]0.37[/C][C]105.954087570993[/C][C]1.19943373768628[/C][/ROW]
[ROW][C]0.38[/C][C]106.161350225749[/C][C]1.27353270717504[/C][/ROW]
[ROW][C]0.39[/C][C]106.38008073591[/C][C]1.33501092254613[/C][/ROW]
[ROW][C]0.4[/C][C]106.608451882805[/C][C]1.38408329259062[/C][/ROW]
[ROW][C]0.41[/C][C]106.844757216987[/C][C]1.42241648405067[/C][/ROW]
[ROW][C]0.42[/C][C]107.087639500203[/C][C]1.45316478919895[/C][/ROW]
[ROW][C]0.43[/C][C]107.33628248811[/C][C]1.48061104736564[/C][/ROW]
[ROW][C]0.44[/C][C]107.590543661506[/C][C]1.50958436427858[/C][/ROW]
[ROW][C]0.45[/C][C]107.851011765457[/C][C]1.54551970749161[/C][/ROW]
[ROW][C]0.46[/C][C]108.118980813166[/C][C]1.59314254789448[/C][/ROW]
[ROW][C]0.47[/C][C]108.396340864599[/C][C]1.65619462503233[/C][/ROW]
[ROW][C]0.48[/C][C]108.685394670315[/C][C]1.73658111076182[/C][/ROW]
[ROW][C]0.49[/C][C]108.988617356682[/C][C]1.83436697089831[/C][/ROW]
[ROW][C]0.5[/C][C]109.308382794148[/C][C]1.94738690828876[/C][/ROW]
[ROW][C]0.51[/C][C]109.646684198464[/C][C]2.07145811249258[/C][/ROW]
[ROW][C]0.52[/C][C]110.004877115537[/C][C]2.20097310236357[/C][/ROW]
[ROW][C]0.53[/C][C]110.383469924283[/C][C]2.32925222492916[/C][/ROW]
[ROW][C]0.54[/C][C]110.78198069733[/C][C]2.4496070797306[/C][/ROW]
[ROW][C]0.55[/C][C]111.198870730185[/C][C]2.55540172361466[/C][/ROW]
[ROW][C]0.56[/C][C]111.631555872165[/C][C]2.64046919660409[/C][/ROW]
[ROW][C]0.57[/C][C]112.076488726016[/C][C]2.69993852224673[/C][/ROW]
[ROW][C]0.58[/C][C]112.529299277669[/C][C]2.72991746166843[/C][/ROW]
[ROW][C]0.59[/C][C]112.984979277328[/C][C]2.72772895962104[/C][/ROW]
[ROW][C]0.6[/C][C]113.438096449071[/C][C]2.69231834859126[/C][/ROW]
[ROW][C]0.61[/C][C]113.883027201551[/C][C]2.62354966710134[/C][/ROW]
[ROW][C]0.62[/C][C]114.314199298902[/C][C]2.52245476018161[/C][/ROW]
[ROW][C]0.63[/C][C]114.726337378582[/C][C]2.39174842925296[/C][/ROW]
[ROW][C]0.64[/C][C]115.114703399377[/C][C]2.23481198339494[/C][/ROW]
[ROW][C]0.65[/C][C]115.475321232641[/C][C]2.05660728825154[/C][/ROW]
[ROW][C]0.66[/C][C]115.805170866875[/C][C]1.86289683788923[/C][/ROW]
[ROW][C]0.67[/C][C]116.102334914461[/C][C]1.66038181623348[/C][/ROW]
[ROW][C]0.68[/C][C]116.366080119375[/C][C]1.45595137860324[/C][/ROW]
[ROW][C]0.69[/C][C]116.596860510554[/C][C]1.25679195490971[/C][/ROW]
[ROW][C]0.7[/C][C]116.796236712555[/C][C]1.06904279045592[/C][/ROW]
[ROW][C]0.71[/C][C]116.966716440483[/C][C]0.898217232237562[/C][/ROW]
[ROW][C]0.72[/C][C]117.111532151142[/C][C]0.74817840743243[/C][/ROW]
[ROW][C]0.73[/C][C]117.234380652579[/C][C]0.621340181048945[/C][/ROW]
[ROW][C]0.74[/C][C]117.33915404198[/C][C]0.518517634567672[/C][/ROW]
[ROW][C]0.75[/C][C]117.429690503494[/C][C]0.438898738775425[/C][/ROW]
[ROW][C]0.76[/C][C]117.50956743466[/C][C]0.380714803288615[/C][/ROW]
[ROW][C]0.77[/C][C]117.581949564934[/C][C]0.340699708187837[/C][/ROW]
[ROW][C]0.78[/C][C]117.649493621226[/C][C]0.315397269356582[/C][/ROW]
[ROW][C]0.79[/C][C]117.714301507738[/C][C]0.300880468920705[/C][/ROW]
[ROW][C]0.8[/C][C]117.777908415789[/C][C]0.293627343301834[/C][/ROW]
[ROW][C]0.81[/C][C]117.841292259069[/C][C]0.290529951968426[/C][/ROW]
[ROW][C]0.82[/C][C]117.90489622171[/C][C]0.288809494192848[/C][/ROW]
[ROW][C]0.83[/C][C]117.968664989899[/C][C]0.286159523060174[/C][/ROW]
[ROW][C]0.84[/C][C]118.032103754474[/C][C]0.280508720463922[/C][/ROW]
[ROW][C]0.85[/C][C]118.094373042052[/C][C]0.270177050840342[/C][/ROW]
[ROW][C]0.86[/C][C]118.154428686284[/C][C]0.254468227021536[/C][/ROW]
[ROW][C]0.87[/C][C]118.2112047181[/C][C]0.233394484087172[/C][/ROW]
[ROW][C]0.88[/C][C]118.263821972855[/C][C]0.208137829248219[/C][/ROW]
[ROW][C]0.89[/C][C]118.311795029944[/C][C]0.180640544789206[/C][/ROW]
[ROW][C]0.9[/C][C]118.355213860356[/C][C]0.153556219108722[/C][/ROW]
[ROW][C]0.91[/C][C]118.394899221627[/C][C]0.12966760447917[/C][/ROW]
[ROW][C]0.92[/C][C]118.432567412272[/C][C]0.111596176920414[/C][/ROW]
[ROW][C]0.93[/C][C]118.471068742287[/C][C]0.101921373943976[/C][/ROW]
[ROW][C]0.94[/C][C]118.514732544852[/C][C]0.103388591673139[/C][/ROW]
[ROW][C]0.95[/C][C]118.569650163586[/C][C]0.118814781728575[/C][/ROW]
[ROW][C]0.96[/C][C]118.643195976022[/C][C]0.150135097427726[/C][/ROW]
[ROW][C]0.97[/C][C]118.741251152009[/C][C]0.198090212569375[/C][/ROW]
[ROW][C]0.98[/C][C]118.861427412111[/C][C]0.260362582316397[/C][/ROW]
[ROW][C]0.99[/C][C]118.98383581878[/C][C]0.326207825568006[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162721&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162721&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
0.01100.2687547222050.193530474070692
0.02100.3950322823930.371360129249852
0.03100.5956015496940.610089108668256
0.04100.8660446128050.834777055713514
0.05101.1898224677270.990467050444843
0.06101.5418575391581.05558969936009
0.07101.8953623741031.03770558870504
0.08102.2281777815040.961000144101127
0.09102.5262039493830.853725905882735
0.1102.7837129353450.740522729459182
0.11103.0016172344980.63865106545977
0.12103.1849729670940.557916868994111
0.13103.3406329502940.500943584751907
0.14103.4755009645390.464917732718951
0.15103.5954899208160.444107298282791
0.16103.705089139250.432073093289103
0.17103.8073645654330.424064258999966
0.18103.9042073831090.416952365423299
0.19103.9966784520740.409423904405274
0.2104.0853453265970.401187593987927
0.21104.1705587013570.392904004574119
0.22104.2526548100830.385325859733134
0.23104.3320941285370.379544380612001
0.24104.4095547903410.377419214408495
0.25104.4859955755460.380572543999975
0.26104.5626942055810.391810598597628
0.27104.6412576928340.413602636532056
0.28104.7235965693750.448410197435415
0.29104.8118555049760.49739986876297
0.3104.9082985134350.561143615778801
0.31105.0151555823280.63825839812291
0.32105.134446503220.726386519929841
0.33105.267804474080.822266706964236
0.34105.4163249761070.921693676914574
0.35105.5804637846821.02050775245161
0.36105.7600020746511.11429558356439
0.37105.9540875709931.19943373768628
0.38106.1613502257491.27353270717504
0.39106.380080735911.33501092254613
0.4106.6084518828051.38408329259062
0.41106.8447572169871.42241648405067
0.42107.0876395002031.45316478919895
0.43107.336282488111.48061104736564
0.44107.5905436615061.50958436427858
0.45107.8510117654571.54551970749161
0.46108.1189808131661.59314254789448
0.47108.3963408645991.65619462503233
0.48108.6853946703151.73658111076182
0.49108.9886173566821.83436697089831
0.5109.3083827941481.94738690828876
0.51109.6466841984642.07145811249258
0.52110.0048771155372.20097310236357
0.53110.3834699242832.32925222492916
0.54110.781980697332.4496070797306
0.55111.1988707301852.55540172361466
0.56111.6315558721652.64046919660409
0.57112.0764887260162.69993852224673
0.58112.5292992776692.72991746166843
0.59112.9849792773282.72772895962104
0.6113.4380964490712.69231834859126
0.61113.8830272015512.62354966710134
0.62114.3141992989022.52245476018161
0.63114.7263373785822.39174842925296
0.64115.1147033993772.23481198339494
0.65115.4753212326412.05660728825154
0.66115.8051708668751.86289683788923
0.67116.1023349144611.66038181623348
0.68116.3660801193751.45595137860324
0.69116.5968605105541.25679195490971
0.7116.7962367125551.06904279045592
0.71116.9667164404830.898217232237562
0.72117.1115321511420.74817840743243
0.73117.2343806525790.621340181048945
0.74117.339154041980.518517634567672
0.75117.4296905034940.438898738775425
0.76117.509567434660.380714803288615
0.77117.5819495649340.340699708187837
0.78117.6494936212260.315397269356582
0.79117.7143015077380.300880468920705
0.8117.7779084157890.293627343301834
0.81117.8412922590690.290529951968426
0.82117.904896221710.288809494192848
0.83117.9686649898990.286159523060174
0.84118.0321037544740.280508720463922
0.85118.0943730420520.270177050840342
0.86118.1544286862840.254468227021536
0.87118.21120471810.233394484087172
0.88118.2638219728550.208137829248219
0.89118.3117950299440.180640544789206
0.9118.3552138603560.153556219108722
0.91118.3948992216270.12966760447917
0.92118.4325674122720.111596176920414
0.93118.4710687422870.101921373943976
0.94118.5147325448520.103388591673139
0.95118.5696501635860.118814781728575
0.96118.6431959760220.150135097427726
0.97118.7412511520090.198090212569375
0.98118.8614274121110.260362582316397
0.99118.983835818780.326207825568006


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')