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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, 12 Oct 2011 15:27:28 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/12/t1318447721ll36qi024l2b07e.htm/, Retrieved Fri, 10 May 2024 12:45:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128542, Retrieved Fri, 10 May 2024 12:45:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact93

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] [] [2011-10-12 19:27:28] [df3d6db53fdf346bf57a43ea3fa80561] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14.66
14.71
14.87
14.94
15.01
15.03
15.04
15.05
15.06
15.11
15.23
15.23
15.25
15.33
15.38
15.52
15.59
15.66
15.67
15.72
15.75
15.77
15.79
15.79
16.49
16.67
16.64
16.66
16.73
16.76
16.76
16.76
16.76
16.79
16.8
16.81
16.91
17.03
17.12
17.2
17.25
17.25
17.3
17.27
17.31
17.33
17.35
17.36
17.39
17.42
17.54
17.59
17.64
17.63
17.67
17.7
17.78
17.87
17.9
17.91
17.93
17.97
18.08
18.08
18.09
18.09
18.12
18.13
18.15
18.17
18.19
18.2
18.21
18.39
18.48
18.48
18.5
18.52
18.48
18.53
18.62
18.65
18.7
18.72

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128542&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128542&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128542&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0114.69454302058910.081213725139074
0.0214.75685871067490.113672812364061
0.0314.82784384340390.118687829425691
0.0414.89273950071450.104698206140612
0.0514.94555560862060.0866013816923086
0.0614.98675368610080.0730967235644566
0.0715.0197986288760.068155929380082
0.0815.04875643186360.0725191355474605
0.0915.07709174002890.0840178015435052
0.115.10722789743790.0994710526446674
0.1115.14052930573720.116309766994655
0.1215.17751149356590.133031108265661
0.1315.21813329706940.148936717128765
0.1415.26205610793310.163724655373834
0.1515.30881385911440.177178913773468
0.1615.35790410361990.188963922465202
0.1715.40884915854720.198966263193006
0.1815.46127229651490.207628071856307
0.1915.51499974394840.216133454182784
0.215.5701604914860.226333882141742
0.2115.62723500033140.240353782015306
0.2215.68701001981710.259701144404989
0.2315.75042526863810.284631360911301
0.2415.8183354332670.31372802052586
0.2515.89124282154650.344153934315992
0.2615.96907081147570.372126117594649
0.2716.05104138685610.393815692039478
0.2816.1356942388640.405938434626845
0.2916.22104857823030.406517788409621
0.316.30487312683920.395119239250576
0.3116.38500497388790.373050467910955
0.3216.45965019477350.342856710527361
0.3316.52760873502520.308040081269609
0.3416.58838826801810.272330818568171
0.3516.64219883600970.239307423788283
0.3616.68984439008140.21186058333379
0.3716.73254357868340.191872347616164
0.3816.77171847857970.180060027343995
0.3916.80878766391130.175822479350735
0.416.8449920640270.177512814879106
0.4116.88127172785160.18292503454367
0.4216.91820137989940.189806692099128
0.4316.95598389101450.196119779385359
0.4416.99449396437530.200362504775027
0.4517.03335947676580.201545808355847
0.4617.07206497513140.199332218402707
0.4717.11006084968560.193900711130188
0.4817.14686273379260.185936997517757
0.4917.18212859791260.176430790975115
0.517.21570540082470.166548439013461
0.5117.24764234501760.15747893967469
0.5217.27817291601650.150229200577407
0.5317.3076721737170.145475483342496
0.5417.33659862350330.14356248519466
0.5517.36543113610820.144340585870132
0.5617.39461081135050.147337890688192
0.5717.42449563831710.151890315949878
0.5817.4553327221570.157233888428137
0.5917.48724928641150.162664513876267
0.617.52026025807770.167642932247162
0.6117.55428762975920.171772459289477
0.6217.58918546004730.174858917990234
0.6317.62476452757540.176797818752732
0.6417.66081212709450.177550851194278
0.6517.6971047656750.177181142417651
0.6617.73341387388310.175677865853215
0.6717.76950644699730.173021378297781
0.6817.80514342888960.16921478109623
0.6917.84007868713580.164224449103247
0.717.87406092813950.158011464621811
0.7117.90684024074870.150676769725301
0.7217.93818033610640.142287307853551
0.7317.96787692554450.133001851341308
0.7417.99578188350580.123113004692519
0.7518.02183181140590.11297770969387
0.7618.04607848960570.103154156168622
0.7718.06871768986990.0942300673062381
0.7818.09011189644560.0870136151778449
0.7918.11080120974290.0822960566971392
0.818.13149453725460.0807809764496174
0.8118.15303037835710.0830152519926228
0.8218.17629522253310.0890680538666045
0.8318.2020919767380.0982861859020067
0.8418.23096527778590.109213504815372
0.8518.26301561800250.119705518196833
0.8618.29776254017630.127234815612255
0.8718.33413271542990.129508900893903
0.8818.37063300906780.125197614260455
0.8918.40571292864980.114558656330619
0.918.43823729668070.0996405281052831
0.9118.46791189048590.083951062071394
0.9218.49547292042640.0715211991903835
0.9318.52249585118240.0653824130725113
0.9418.55080836115550.0654167760384115
0.9518.58167841086010.0678340815558243
0.9618.61509920518330.0676769151320577
0.9718.64945544994020.0615103325431918
0.9818.68155467855040.0484080060629159
0.9918.70677021551280.031065251698404

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 14.6945430205891 & 0.081213725139074 \tabularnewline
0.02 & 14.7568587106749 & 0.113672812364061 \tabularnewline
0.03 & 14.8278438434039 & 0.118687829425691 \tabularnewline
0.04 & 14.8927395007145 & 0.104698206140612 \tabularnewline
0.05 & 14.9455556086206 & 0.0866013816923086 \tabularnewline
0.06 & 14.9867536861008 & 0.0730967235644566 \tabularnewline
0.07 & 15.019798628876 & 0.068155929380082 \tabularnewline
0.08 & 15.0487564318636 & 0.0725191355474605 \tabularnewline
0.09 & 15.0770917400289 & 0.0840178015435052 \tabularnewline
0.1 & 15.1072278974379 & 0.0994710526446674 \tabularnewline
0.11 & 15.1405293057372 & 0.116309766994655 \tabularnewline
0.12 & 15.1775114935659 & 0.133031108265661 \tabularnewline
0.13 & 15.2181332970694 & 0.148936717128765 \tabularnewline
0.14 & 15.2620561079331 & 0.163724655373834 \tabularnewline
0.15 & 15.3088138591144 & 0.177178913773468 \tabularnewline
0.16 & 15.3579041036199 & 0.188963922465202 \tabularnewline
0.17 & 15.4088491585472 & 0.198966263193006 \tabularnewline
0.18 & 15.4612722965149 & 0.207628071856307 \tabularnewline
0.19 & 15.5149997439484 & 0.216133454182784 \tabularnewline
0.2 & 15.570160491486 & 0.226333882141742 \tabularnewline
0.21 & 15.6272350003314 & 0.240353782015306 \tabularnewline
0.22 & 15.6870100198171 & 0.259701144404989 \tabularnewline
0.23 & 15.7504252686381 & 0.284631360911301 \tabularnewline
0.24 & 15.818335433267 & 0.31372802052586 \tabularnewline
0.25 & 15.8912428215465 & 0.344153934315992 \tabularnewline
0.26 & 15.9690708114757 & 0.372126117594649 \tabularnewline
0.27 & 16.0510413868561 & 0.393815692039478 \tabularnewline
0.28 & 16.135694238864 & 0.405938434626845 \tabularnewline
0.29 & 16.2210485782303 & 0.406517788409621 \tabularnewline
0.3 & 16.3048731268392 & 0.395119239250576 \tabularnewline
0.31 & 16.3850049738879 & 0.373050467910955 \tabularnewline
0.32 & 16.4596501947735 & 0.342856710527361 \tabularnewline
0.33 & 16.5276087350252 & 0.308040081269609 \tabularnewline
0.34 & 16.5883882680181 & 0.272330818568171 \tabularnewline
0.35 & 16.6421988360097 & 0.239307423788283 \tabularnewline
0.36 & 16.6898443900814 & 0.21186058333379 \tabularnewline
0.37 & 16.7325435786834 & 0.191872347616164 \tabularnewline
0.38 & 16.7717184785797 & 0.180060027343995 \tabularnewline
0.39 & 16.8087876639113 & 0.175822479350735 \tabularnewline
0.4 & 16.844992064027 & 0.177512814879106 \tabularnewline
0.41 & 16.8812717278516 & 0.18292503454367 \tabularnewline
0.42 & 16.9182013798994 & 0.189806692099128 \tabularnewline
0.43 & 16.9559838910145 & 0.196119779385359 \tabularnewline
0.44 & 16.9944939643753 & 0.200362504775027 \tabularnewline
0.45 & 17.0333594767658 & 0.201545808355847 \tabularnewline
0.46 & 17.0720649751314 & 0.199332218402707 \tabularnewline
0.47 & 17.1100608496856 & 0.193900711130188 \tabularnewline
0.48 & 17.1468627337926 & 0.185936997517757 \tabularnewline
0.49 & 17.1821285979126 & 0.176430790975115 \tabularnewline
0.5 & 17.2157054008247 & 0.166548439013461 \tabularnewline
0.51 & 17.2476423450176 & 0.15747893967469 \tabularnewline
0.52 & 17.2781729160165 & 0.150229200577407 \tabularnewline
0.53 & 17.307672173717 & 0.145475483342496 \tabularnewline
0.54 & 17.3365986235033 & 0.14356248519466 \tabularnewline
0.55 & 17.3654311361082 & 0.144340585870132 \tabularnewline
0.56 & 17.3946108113505 & 0.147337890688192 \tabularnewline
0.57 & 17.4244956383171 & 0.151890315949878 \tabularnewline
0.58 & 17.455332722157 & 0.157233888428137 \tabularnewline
0.59 & 17.4872492864115 & 0.162664513876267 \tabularnewline
0.6 & 17.5202602580777 & 0.167642932247162 \tabularnewline
0.61 & 17.5542876297592 & 0.171772459289477 \tabularnewline
0.62 & 17.5891854600473 & 0.174858917990234 \tabularnewline
0.63 & 17.6247645275754 & 0.176797818752732 \tabularnewline
0.64 & 17.6608121270945 & 0.177550851194278 \tabularnewline
0.65 & 17.697104765675 & 0.177181142417651 \tabularnewline
0.66 & 17.7334138738831 & 0.175677865853215 \tabularnewline
0.67 & 17.7695064469973 & 0.173021378297781 \tabularnewline
0.68 & 17.8051434288896 & 0.16921478109623 \tabularnewline
0.69 & 17.8400786871358 & 0.164224449103247 \tabularnewline
0.7 & 17.8740609281395 & 0.158011464621811 \tabularnewline
0.71 & 17.9068402407487 & 0.150676769725301 \tabularnewline
0.72 & 17.9381803361064 & 0.142287307853551 \tabularnewline
0.73 & 17.9678769255445 & 0.133001851341308 \tabularnewline
0.74 & 17.9957818835058 & 0.123113004692519 \tabularnewline
0.75 & 18.0218318114059 & 0.11297770969387 \tabularnewline
0.76 & 18.0460784896057 & 0.103154156168622 \tabularnewline
0.77 & 18.0687176898699 & 0.0942300673062381 \tabularnewline
0.78 & 18.0901118964456 & 0.0870136151778449 \tabularnewline
0.79 & 18.1108012097429 & 0.0822960566971392 \tabularnewline
0.8 & 18.1314945372546 & 0.0807809764496174 \tabularnewline
0.81 & 18.1530303783571 & 0.0830152519926228 \tabularnewline
0.82 & 18.1762952225331 & 0.0890680538666045 \tabularnewline
0.83 & 18.202091976738 & 0.0982861859020067 \tabularnewline
0.84 & 18.2309652777859 & 0.109213504815372 \tabularnewline
0.85 & 18.2630156180025 & 0.119705518196833 \tabularnewline
0.86 & 18.2977625401763 & 0.127234815612255 \tabularnewline
0.87 & 18.3341327154299 & 0.129508900893903 \tabularnewline
0.88 & 18.3706330090678 & 0.125197614260455 \tabularnewline
0.89 & 18.4057129286498 & 0.114558656330619 \tabularnewline
0.9 & 18.4382372966807 & 0.0996405281052831 \tabularnewline
0.91 & 18.4679118904859 & 0.083951062071394 \tabularnewline
0.92 & 18.4954729204264 & 0.0715211991903835 \tabularnewline
0.93 & 18.5224958511824 & 0.0653824130725113 \tabularnewline
0.94 & 18.5508083611555 & 0.0654167760384115 \tabularnewline
0.95 & 18.5816784108601 & 0.0678340815558243 \tabularnewline
0.96 & 18.6150992051833 & 0.0676769151320577 \tabularnewline
0.97 & 18.6494554499402 & 0.0615103325431918 \tabularnewline
0.98 & 18.6815546785504 & 0.0484080060629159 \tabularnewline
0.99 & 18.7067702155128 & 0.031065251698404 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128542&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]14.6945430205891[/C][C]0.081213725139074[/C][/ROW]
[ROW][C]0.02[/C][C]14.7568587106749[/C][C]0.113672812364061[/C][/ROW]
[ROW][C]0.03[/C][C]14.8278438434039[/C][C]0.118687829425691[/C][/ROW]
[ROW][C]0.04[/C][C]14.8927395007145[/C][C]0.104698206140612[/C][/ROW]
[ROW][C]0.05[/C][C]14.9455556086206[/C][C]0.0866013816923086[/C][/ROW]
[ROW][C]0.06[/C][C]14.9867536861008[/C][C]0.0730967235644566[/C][/ROW]
[ROW][C]0.07[/C][C]15.019798628876[/C][C]0.068155929380082[/C][/ROW]
[ROW][C]0.08[/C][C]15.0487564318636[/C][C]0.0725191355474605[/C][/ROW]
[ROW][C]0.09[/C][C]15.0770917400289[/C][C]0.0840178015435052[/C][/ROW]
[ROW][C]0.1[/C][C]15.1072278974379[/C][C]0.0994710526446674[/C][/ROW]
[ROW][C]0.11[/C][C]15.1405293057372[/C][C]0.116309766994655[/C][/ROW]
[ROW][C]0.12[/C][C]15.1775114935659[/C][C]0.133031108265661[/C][/ROW]
[ROW][C]0.13[/C][C]15.2181332970694[/C][C]0.148936717128765[/C][/ROW]
[ROW][C]0.14[/C][C]15.2620561079331[/C][C]0.163724655373834[/C][/ROW]
[ROW][C]0.15[/C][C]15.3088138591144[/C][C]0.177178913773468[/C][/ROW]
[ROW][C]0.16[/C][C]15.3579041036199[/C][C]0.188963922465202[/C][/ROW]
[ROW][C]0.17[/C][C]15.4088491585472[/C][C]0.198966263193006[/C][/ROW]
[ROW][C]0.18[/C][C]15.4612722965149[/C][C]0.207628071856307[/C][/ROW]
[ROW][C]0.19[/C][C]15.5149997439484[/C][C]0.216133454182784[/C][/ROW]
[ROW][C]0.2[/C][C]15.570160491486[/C][C]0.226333882141742[/C][/ROW]
[ROW][C]0.21[/C][C]15.6272350003314[/C][C]0.240353782015306[/C][/ROW]
[ROW][C]0.22[/C][C]15.6870100198171[/C][C]0.259701144404989[/C][/ROW]
[ROW][C]0.23[/C][C]15.7504252686381[/C][C]0.284631360911301[/C][/ROW]
[ROW][C]0.24[/C][C]15.818335433267[/C][C]0.31372802052586[/C][/ROW]
[ROW][C]0.25[/C][C]15.8912428215465[/C][C]0.344153934315992[/C][/ROW]
[ROW][C]0.26[/C][C]15.9690708114757[/C][C]0.372126117594649[/C][/ROW]
[ROW][C]0.27[/C][C]16.0510413868561[/C][C]0.393815692039478[/C][/ROW]
[ROW][C]0.28[/C][C]16.135694238864[/C][C]0.405938434626845[/C][/ROW]
[ROW][C]0.29[/C][C]16.2210485782303[/C][C]0.406517788409621[/C][/ROW]
[ROW][C]0.3[/C][C]16.3048731268392[/C][C]0.395119239250576[/C][/ROW]
[ROW][C]0.31[/C][C]16.3850049738879[/C][C]0.373050467910955[/C][/ROW]
[ROW][C]0.32[/C][C]16.4596501947735[/C][C]0.342856710527361[/C][/ROW]
[ROW][C]0.33[/C][C]16.5276087350252[/C][C]0.308040081269609[/C][/ROW]
[ROW][C]0.34[/C][C]16.5883882680181[/C][C]0.272330818568171[/C][/ROW]
[ROW][C]0.35[/C][C]16.6421988360097[/C][C]0.239307423788283[/C][/ROW]
[ROW][C]0.36[/C][C]16.6898443900814[/C][C]0.21186058333379[/C][/ROW]
[ROW][C]0.37[/C][C]16.7325435786834[/C][C]0.191872347616164[/C][/ROW]
[ROW][C]0.38[/C][C]16.7717184785797[/C][C]0.180060027343995[/C][/ROW]
[ROW][C]0.39[/C][C]16.8087876639113[/C][C]0.175822479350735[/C][/ROW]
[ROW][C]0.4[/C][C]16.844992064027[/C][C]0.177512814879106[/C][/ROW]
[ROW][C]0.41[/C][C]16.8812717278516[/C][C]0.18292503454367[/C][/ROW]
[ROW][C]0.42[/C][C]16.9182013798994[/C][C]0.189806692099128[/C][/ROW]
[ROW][C]0.43[/C][C]16.9559838910145[/C][C]0.196119779385359[/C][/ROW]
[ROW][C]0.44[/C][C]16.9944939643753[/C][C]0.200362504775027[/C][/ROW]
[ROW][C]0.45[/C][C]17.0333594767658[/C][C]0.201545808355847[/C][/ROW]
[ROW][C]0.46[/C][C]17.0720649751314[/C][C]0.199332218402707[/C][/ROW]
[ROW][C]0.47[/C][C]17.1100608496856[/C][C]0.193900711130188[/C][/ROW]
[ROW][C]0.48[/C][C]17.1468627337926[/C][C]0.185936997517757[/C][/ROW]
[ROW][C]0.49[/C][C]17.1821285979126[/C][C]0.176430790975115[/C][/ROW]
[ROW][C]0.5[/C][C]17.2157054008247[/C][C]0.166548439013461[/C][/ROW]
[ROW][C]0.51[/C][C]17.2476423450176[/C][C]0.15747893967469[/C][/ROW]
[ROW][C]0.52[/C][C]17.2781729160165[/C][C]0.150229200577407[/C][/ROW]
[ROW][C]0.53[/C][C]17.307672173717[/C][C]0.145475483342496[/C][/ROW]
[ROW][C]0.54[/C][C]17.3365986235033[/C][C]0.14356248519466[/C][/ROW]
[ROW][C]0.55[/C][C]17.3654311361082[/C][C]0.144340585870132[/C][/ROW]
[ROW][C]0.56[/C][C]17.3946108113505[/C][C]0.147337890688192[/C][/ROW]
[ROW][C]0.57[/C][C]17.4244956383171[/C][C]0.151890315949878[/C][/ROW]
[ROW][C]0.58[/C][C]17.455332722157[/C][C]0.157233888428137[/C][/ROW]
[ROW][C]0.59[/C][C]17.4872492864115[/C][C]0.162664513876267[/C][/ROW]
[ROW][C]0.6[/C][C]17.5202602580777[/C][C]0.167642932247162[/C][/ROW]
[ROW][C]0.61[/C][C]17.5542876297592[/C][C]0.171772459289477[/C][/ROW]
[ROW][C]0.62[/C][C]17.5891854600473[/C][C]0.174858917990234[/C][/ROW]
[ROW][C]0.63[/C][C]17.6247645275754[/C][C]0.176797818752732[/C][/ROW]
[ROW][C]0.64[/C][C]17.6608121270945[/C][C]0.177550851194278[/C][/ROW]
[ROW][C]0.65[/C][C]17.697104765675[/C][C]0.177181142417651[/C][/ROW]
[ROW][C]0.66[/C][C]17.7334138738831[/C][C]0.175677865853215[/C][/ROW]
[ROW][C]0.67[/C][C]17.7695064469973[/C][C]0.173021378297781[/C][/ROW]
[ROW][C]0.68[/C][C]17.8051434288896[/C][C]0.16921478109623[/C][/ROW]
[ROW][C]0.69[/C][C]17.8400786871358[/C][C]0.164224449103247[/C][/ROW]
[ROW][C]0.7[/C][C]17.8740609281395[/C][C]0.158011464621811[/C][/ROW]
[ROW][C]0.71[/C][C]17.9068402407487[/C][C]0.150676769725301[/C][/ROW]
[ROW][C]0.72[/C][C]17.9381803361064[/C][C]0.142287307853551[/C][/ROW]
[ROW][C]0.73[/C][C]17.9678769255445[/C][C]0.133001851341308[/C][/ROW]
[ROW][C]0.74[/C][C]17.9957818835058[/C][C]0.123113004692519[/C][/ROW]
[ROW][C]0.75[/C][C]18.0218318114059[/C][C]0.11297770969387[/C][/ROW]
[ROW][C]0.76[/C][C]18.0460784896057[/C][C]0.103154156168622[/C][/ROW]
[ROW][C]0.77[/C][C]18.0687176898699[/C][C]0.0942300673062381[/C][/ROW]
[ROW][C]0.78[/C][C]18.0901118964456[/C][C]0.0870136151778449[/C][/ROW]
[ROW][C]0.79[/C][C]18.1108012097429[/C][C]0.0822960566971392[/C][/ROW]
[ROW][C]0.8[/C][C]18.1314945372546[/C][C]0.0807809764496174[/C][/ROW]
[ROW][C]0.81[/C][C]18.1530303783571[/C][C]0.0830152519926228[/C][/ROW]
[ROW][C]0.82[/C][C]18.1762952225331[/C][C]0.0890680538666045[/C][/ROW]
[ROW][C]0.83[/C][C]18.202091976738[/C][C]0.0982861859020067[/C][/ROW]
[ROW][C]0.84[/C][C]18.2309652777859[/C][C]0.109213504815372[/C][/ROW]
[ROW][C]0.85[/C][C]18.2630156180025[/C][C]0.119705518196833[/C][/ROW]
[ROW][C]0.86[/C][C]18.2977625401763[/C][C]0.127234815612255[/C][/ROW]
[ROW][C]0.87[/C][C]18.3341327154299[/C][C]0.129508900893903[/C][/ROW]
[ROW][C]0.88[/C][C]18.3706330090678[/C][C]0.125197614260455[/C][/ROW]
[ROW][C]0.89[/C][C]18.4057129286498[/C][C]0.114558656330619[/C][/ROW]
[ROW][C]0.9[/C][C]18.4382372966807[/C][C]0.0996405281052831[/C][/ROW]
[ROW][C]0.91[/C][C]18.4679118904859[/C][C]0.083951062071394[/C][/ROW]
[ROW][C]0.92[/C][C]18.4954729204264[/C][C]0.0715211991903835[/C][/ROW]
[ROW][C]0.93[/C][C]18.5224958511824[/C][C]0.0653824130725113[/C][/ROW]
[ROW][C]0.94[/C][C]18.5508083611555[/C][C]0.0654167760384115[/C][/ROW]
[ROW][C]0.95[/C][C]18.5816784108601[/C][C]0.0678340815558243[/C][/ROW]
[ROW][C]0.96[/C][C]18.6150992051833[/C][C]0.0676769151320577[/C][/ROW]
[ROW][C]0.97[/C][C]18.6494554499402[/C][C]0.0615103325431918[/C][/ROW]
[ROW][C]0.98[/C][C]18.6815546785504[/C][C]0.0484080060629159[/C][/ROW]
[ROW][C]0.99[/C][C]18.7067702155128[/C][C]0.031065251698404[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128542&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128542&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
0.0114.69454302058910.081213725139074
0.0214.75685871067490.113672812364061
0.0314.82784384340390.118687829425691
0.0414.89273950071450.104698206140612
0.0514.94555560862060.0866013816923086
0.0614.98675368610080.0730967235644566
0.0715.0197986288760.068155929380082
0.0815.04875643186360.0725191355474605
0.0915.07709174002890.0840178015435052
0.115.10722789743790.0994710526446674
0.1115.14052930573720.116309766994655
0.1215.17751149356590.133031108265661
0.1315.21813329706940.148936717128765
0.1415.26205610793310.163724655373834
0.1515.30881385911440.177178913773468
0.1615.35790410361990.188963922465202
0.1715.40884915854720.198966263193006
0.1815.46127229651490.207628071856307
0.1915.51499974394840.216133454182784
0.215.5701604914860.226333882141742
0.2115.62723500033140.240353782015306
0.2215.68701001981710.259701144404989
0.2315.75042526863810.284631360911301
0.2415.8183354332670.31372802052586
0.2515.89124282154650.344153934315992
0.2615.96907081147570.372126117594649
0.2716.05104138685610.393815692039478
0.2816.1356942388640.405938434626845
0.2916.22104857823030.406517788409621
0.316.30487312683920.395119239250576
0.3116.38500497388790.373050467910955
0.3216.45965019477350.342856710527361
0.3316.52760873502520.308040081269609
0.3416.58838826801810.272330818568171
0.3516.64219883600970.239307423788283
0.3616.68984439008140.21186058333379
0.3716.73254357868340.191872347616164
0.3816.77171847857970.180060027343995
0.3916.80878766391130.175822479350735
0.416.8449920640270.177512814879106
0.4116.88127172785160.18292503454367
0.4216.91820137989940.189806692099128
0.4316.95598389101450.196119779385359
0.4416.99449396437530.200362504775027
0.4517.03335947676580.201545808355847
0.4617.07206497513140.199332218402707
0.4717.11006084968560.193900711130188
0.4817.14686273379260.185936997517757
0.4917.18212859791260.176430790975115
0.517.21570540082470.166548439013461
0.5117.24764234501760.15747893967469
0.5217.27817291601650.150229200577407
0.5317.3076721737170.145475483342496
0.5417.33659862350330.14356248519466
0.5517.36543113610820.144340585870132
0.5617.39461081135050.147337890688192
0.5717.42449563831710.151890315949878
0.5817.4553327221570.157233888428137
0.5917.48724928641150.162664513876267
0.617.52026025807770.167642932247162
0.6117.55428762975920.171772459289477
0.6217.58918546004730.174858917990234
0.6317.62476452757540.176797818752732
0.6417.66081212709450.177550851194278
0.6517.6971047656750.177181142417651
0.6617.73341387388310.175677865853215
0.6717.76950644699730.173021378297781
0.6817.80514342888960.16921478109623
0.6917.84007868713580.164224449103247
0.717.87406092813950.158011464621811
0.7117.90684024074870.150676769725301
0.7217.93818033610640.142287307853551
0.7317.96787692554450.133001851341308
0.7417.99578188350580.123113004692519
0.7518.02183181140590.11297770969387
0.7618.04607848960570.103154156168622
0.7718.06871768986990.0942300673062381
0.7818.09011189644560.0870136151778449
0.7918.11080120974290.0822960566971392
0.818.13149453725460.0807809764496174
0.8118.15303037835710.0830152519926228
0.8218.17629522253310.0890680538666045
0.8318.2020919767380.0982861859020067
0.8418.23096527778590.109213504815372
0.8518.26301561800250.119705518196833
0.8618.29776254017630.127234815612255
0.8718.33413271542990.129508900893903
0.8818.37063300906780.125197614260455
0.8918.40571292864980.114558656330619
0.918.43823729668070.0996405281052831
0.9118.46791189048590.083951062071394
0.9218.49547292042640.0715211991903835
0.9318.52249585118240.0653824130725113
0.9418.55080836115550.0654167760384115
0.9518.58167841086010.0678340815558243
0.9618.61509920518330.0676769151320577
0.9718.64945544994020.0615103325431918
0.9818.68155467855040.0484080060629159
0.9918.70677021551280.031065251698404


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')