FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 16 Feb 2014 11:47:20 -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/2014/Feb/16/t13925692636ns8jwxiiphjkt9.htm/, Retrieved Wed, 15 May 2024 11:29:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233771, Retrieved Wed, 15 May 2024 11:29:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact56

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] [] [2014-02-16 16:47:20] [7bdaea507391e586c2f546987cf73038] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
78,7
75,7
77,1
86,1
86,8
86,3
91,5
90,7
78,2
73
73,7
77,3
67,5
72,7
76,6
82,4
82,3
86,3
93
88,8
96,9
103,9
115,7
112,8
114,7
118
129,3
137
156
166,2
167,8
144,3
126
90,4
67,5
52,4
54,6
52,9
59,1
63,3
73,8
87,6
81,8
90,7
86,3
93,6
98
94,3
97,6
94,2
100,2
106,7
95,7
94,6
94,7
96,2
96,3
103,3
106,8
113,7
117,4
123,6
137,6
147,4
137,2
133,8
136,7
127,3
128,7
127
133,7
132
135,1
142,6
149,3
143,5
131,4
114,7
122,3
133,4
134,6
130,9
127,9
128

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233771&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233771&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233771&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0152.944951880721.3826169115182
0.0254.2385589209192.98759922272851
0.0356.23293202857914.48954063228175
0.0458.69502837004455.43124352800916
0.0561.32770321291215.74807374007862
0.0663.87989964139125.59906174252958
0.0766.19703227599035.18755660600758
0.0868.21541197682654.66757759685945
0.0969.93288249723564.1328307949654
0.171.38068832300913.64249006138751
0.1172.60498275989523.23933843147593
0.1273.65638148176372.95091152817238
0.1374.58392659133822.78469167681992
0.1475.43133364211162.7304197489398
0.1576.23484039670122.76826158320785
0.1677.0223509442092.87557005816549
0.1777.81342460847873.02811544198842
0.1878.61965434917323.19932929470222
0.1979.44524501508773.36215290724486
0.280.28789643270743.49128041213473
0.2181.14018466125783.56852872652164
0.2281.99148502967373.58536567984926
0.2382.83022720451383.54415237864029
0.2483.64608161543433.45645039444504
0.2584.43164406826883.34075488162024
0.2685.18331164619983.21738578012537
0.2785.90126193905333.10474727592269
0.2886.58867243143213.01479181730454
0.2987.25047663018592.95184431338465
0.387.8920122932922.91268372002743
0.3188.51787675872912.88927062310925
0.3289.13119549998672.87142072335933
0.3389.73337663520452.84978753465511
0.3490.32430708919622.81811677385491
0.3590.9028711785242.77330437646665
0.3691.46764573022772.71672804839995
0.3792.01763749293552.65292604250444
0.3892.55296067698082.58948600962915
0.3993.07538781517572.53683930635098
0.493.58873491841072.50721143829844
0.4194.09905886582152.51382128149412
0.4294.61465351160542.56968433841604
0.4395.14583596971942.68605365511442
0.4495.70452067083572.87050964985338
0.4596.30358931171923.12634660554692
0.4696.95608116472273.45100034521556
0.4797.67425003165753.83650757482569
0.4898.46855924307924.26953092785178
0.4999.34671047566474.73187605378537
0.5100.3128201047525.20203339345881
0.51101.366861833695.6564604163266
0.52102.5044805771566.07204203280454
0.53103.7172465645336.42792127238618
0.54104.993361070816.70877524438041
0.55106.3187521952386.90551871764444
0.56107.6784225530137.01685921346606
0.57109.0578471170737.04994328640027
0.58110.4441869544937.01782578043939
0.59111.8270984814046.93779885324912
0.6113.1989847638516.82733865755464
0.61114.55464859746.70044655945724
0.62115.8904447850796.56482862131207
0.63117.2031574353236.42010063889858
0.64118.4889098325896.25871116502561
0.65119.7424201155576.06941956777607
0.66120.9568354300365.84103852716259
0.67122.1242256913285.5672593547603
0.68123.2366346040455.24875970012705
0.69124.2874225784854.89530958521858
0.7125.2725434821944.52366103034859
0.71126.1914055508644.1549514394749
0.72127.0470769411373.81016760133902
0.73127.8457774659813.50627192603726
0.74128.5957965203433.25216746990095
0.75129.3061335486713.04792801450069
0.76129.985224949192.88566192985706
0.77130.6400815201982.75369501726479
0.78131.2760300009042.6401883416739
0.79131.897078609162.53751350812084
0.8132.5067730223832.44326665564396
0.81133.1093298279652.36108603358929
0.82133.7108448201592.2992792683131
0.83134.3204322082972.2692980122494
0.84134.9511701081182.28460231003371
0.85135.6206316912772.3600037075992
0.86136.3506015423122.50827845327038
0.87137.1655241300962.73362726654707
0.88138.0896430054553.02278722350847
0.89139.1438855376633.34200506340814
0.9140.3450914417153.64879181235963
0.91141.7113078903863.91673991978014
0.92143.276265502854.16919117055467
0.93145.1122702455564.50182655995213
0.94147.3515389322865.06936168279726
0.95150.179344979295.99198435419701
0.96153.7532248005267.15164838780484
0.97158.0118218433187.93002352307569
0.98162.4359397866127.20558207508153
0.99166.0203275234164.38529980247334

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 52.94495188072 & 1.3826169115182 \tabularnewline
0.02 & 54.238558920919 & 2.98759922272851 \tabularnewline
0.03 & 56.2329320285791 & 4.48954063228175 \tabularnewline
0.04 & 58.6950283700445 & 5.43124352800916 \tabularnewline
0.05 & 61.3277032129121 & 5.74807374007862 \tabularnewline
0.06 & 63.8798996413912 & 5.59906174252958 \tabularnewline
0.07 & 66.1970322759903 & 5.18755660600758 \tabularnewline
0.08 & 68.2154119768265 & 4.66757759685945 \tabularnewline
0.09 & 69.9328824972356 & 4.1328307949654 \tabularnewline
0.1 & 71.3806883230091 & 3.64249006138751 \tabularnewline
0.11 & 72.6049827598952 & 3.23933843147593 \tabularnewline
0.12 & 73.6563814817637 & 2.95091152817238 \tabularnewline
0.13 & 74.5839265913382 & 2.78469167681992 \tabularnewline
0.14 & 75.4313336421116 & 2.7304197489398 \tabularnewline
0.15 & 76.2348403967012 & 2.76826158320785 \tabularnewline
0.16 & 77.022350944209 & 2.87557005816549 \tabularnewline
0.17 & 77.8134246084787 & 3.02811544198842 \tabularnewline
0.18 & 78.6196543491732 & 3.19932929470222 \tabularnewline
0.19 & 79.4452450150877 & 3.36215290724486 \tabularnewline
0.2 & 80.2878964327074 & 3.49128041213473 \tabularnewline
0.21 & 81.1401846612578 & 3.56852872652164 \tabularnewline
0.22 & 81.9914850296737 & 3.58536567984926 \tabularnewline
0.23 & 82.8302272045138 & 3.54415237864029 \tabularnewline
0.24 & 83.6460816154343 & 3.45645039444504 \tabularnewline
0.25 & 84.4316440682688 & 3.34075488162024 \tabularnewline
0.26 & 85.1833116461998 & 3.21738578012537 \tabularnewline
0.27 & 85.9012619390533 & 3.10474727592269 \tabularnewline
0.28 & 86.5886724314321 & 3.01479181730454 \tabularnewline
0.29 & 87.2504766301859 & 2.95184431338465 \tabularnewline
0.3 & 87.892012293292 & 2.91268372002743 \tabularnewline
0.31 & 88.5178767587291 & 2.88927062310925 \tabularnewline
0.32 & 89.1311954999867 & 2.87142072335933 \tabularnewline
0.33 & 89.7333766352045 & 2.84978753465511 \tabularnewline
0.34 & 90.3243070891962 & 2.81811677385491 \tabularnewline
0.35 & 90.902871178524 & 2.77330437646665 \tabularnewline
0.36 & 91.4676457302277 & 2.71672804839995 \tabularnewline
0.37 & 92.0176374929355 & 2.65292604250444 \tabularnewline
0.38 & 92.5529606769808 & 2.58948600962915 \tabularnewline
0.39 & 93.0753878151757 & 2.53683930635098 \tabularnewline
0.4 & 93.5887349184107 & 2.50721143829844 \tabularnewline
0.41 & 94.0990588658215 & 2.51382128149412 \tabularnewline
0.42 & 94.6146535116054 & 2.56968433841604 \tabularnewline
0.43 & 95.1458359697194 & 2.68605365511442 \tabularnewline
0.44 & 95.7045206708357 & 2.87050964985338 \tabularnewline
0.45 & 96.3035893117192 & 3.12634660554692 \tabularnewline
0.46 & 96.9560811647227 & 3.45100034521556 \tabularnewline
0.47 & 97.6742500316575 & 3.83650757482569 \tabularnewline
0.48 & 98.4685592430792 & 4.26953092785178 \tabularnewline
0.49 & 99.3467104756647 & 4.73187605378537 \tabularnewline
0.5 & 100.312820104752 & 5.20203339345881 \tabularnewline
0.51 & 101.36686183369 & 5.6564604163266 \tabularnewline
0.52 & 102.504480577156 & 6.07204203280454 \tabularnewline
0.53 & 103.717246564533 & 6.42792127238618 \tabularnewline
0.54 & 104.99336107081 & 6.70877524438041 \tabularnewline
0.55 & 106.318752195238 & 6.90551871764444 \tabularnewline
0.56 & 107.678422553013 & 7.01685921346606 \tabularnewline
0.57 & 109.057847117073 & 7.04994328640027 \tabularnewline
0.58 & 110.444186954493 & 7.01782578043939 \tabularnewline
0.59 & 111.827098481404 & 6.93779885324912 \tabularnewline
0.6 & 113.198984763851 & 6.82733865755464 \tabularnewline
0.61 & 114.5546485974 & 6.70044655945724 \tabularnewline
0.62 & 115.890444785079 & 6.56482862131207 \tabularnewline
0.63 & 117.203157435323 & 6.42010063889858 \tabularnewline
0.64 & 118.488909832589 & 6.25871116502561 \tabularnewline
0.65 & 119.742420115557 & 6.06941956777607 \tabularnewline
0.66 & 120.956835430036 & 5.84103852716259 \tabularnewline
0.67 & 122.124225691328 & 5.5672593547603 \tabularnewline
0.68 & 123.236634604045 & 5.24875970012705 \tabularnewline
0.69 & 124.287422578485 & 4.89530958521858 \tabularnewline
0.7 & 125.272543482194 & 4.52366103034859 \tabularnewline
0.71 & 126.191405550864 & 4.1549514394749 \tabularnewline
0.72 & 127.047076941137 & 3.81016760133902 \tabularnewline
0.73 & 127.845777465981 & 3.50627192603726 \tabularnewline
0.74 & 128.595796520343 & 3.25216746990095 \tabularnewline
0.75 & 129.306133548671 & 3.04792801450069 \tabularnewline
0.76 & 129.98522494919 & 2.88566192985706 \tabularnewline
0.77 & 130.640081520198 & 2.75369501726479 \tabularnewline
0.78 & 131.276030000904 & 2.6401883416739 \tabularnewline
0.79 & 131.89707860916 & 2.53751350812084 \tabularnewline
0.8 & 132.506773022383 & 2.44326665564396 \tabularnewline
0.81 & 133.109329827965 & 2.36108603358929 \tabularnewline
0.82 & 133.710844820159 & 2.2992792683131 \tabularnewline
0.83 & 134.320432208297 & 2.2692980122494 \tabularnewline
0.84 & 134.951170108118 & 2.28460231003371 \tabularnewline
0.85 & 135.620631691277 & 2.3600037075992 \tabularnewline
0.86 & 136.350601542312 & 2.50827845327038 \tabularnewline
0.87 & 137.165524130096 & 2.73362726654707 \tabularnewline
0.88 & 138.089643005455 & 3.02278722350847 \tabularnewline
0.89 & 139.143885537663 & 3.34200506340814 \tabularnewline
0.9 & 140.345091441715 & 3.64879181235963 \tabularnewline
0.91 & 141.711307890386 & 3.91673991978014 \tabularnewline
0.92 & 143.27626550285 & 4.16919117055467 \tabularnewline
0.93 & 145.112270245556 & 4.50182655995213 \tabularnewline
0.94 & 147.351538932286 & 5.06936168279726 \tabularnewline
0.95 & 150.17934497929 & 5.99198435419701 \tabularnewline
0.96 & 153.753224800526 & 7.15164838780484 \tabularnewline
0.97 & 158.011821843318 & 7.93002352307569 \tabularnewline
0.98 & 162.435939786612 & 7.20558207508153 \tabularnewline
0.99 & 166.020327523416 & 4.38529980247334 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233771&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]52.94495188072[/C][C]1.3826169115182[/C][/ROW]
[ROW][C]0.02[/C][C]54.238558920919[/C][C]2.98759922272851[/C][/ROW]
[ROW][C]0.03[/C][C]56.2329320285791[/C][C]4.48954063228175[/C][/ROW]
[ROW][C]0.04[/C][C]58.6950283700445[/C][C]5.43124352800916[/C][/ROW]
[ROW][C]0.05[/C][C]61.3277032129121[/C][C]5.74807374007862[/C][/ROW]
[ROW][C]0.06[/C][C]63.8798996413912[/C][C]5.59906174252958[/C][/ROW]
[ROW][C]0.07[/C][C]66.1970322759903[/C][C]5.18755660600758[/C][/ROW]
[ROW][C]0.08[/C][C]68.2154119768265[/C][C]4.66757759685945[/C][/ROW]
[ROW][C]0.09[/C][C]69.9328824972356[/C][C]4.1328307949654[/C][/ROW]
[ROW][C]0.1[/C][C]71.3806883230091[/C][C]3.64249006138751[/C][/ROW]
[ROW][C]0.11[/C][C]72.6049827598952[/C][C]3.23933843147593[/C][/ROW]
[ROW][C]0.12[/C][C]73.6563814817637[/C][C]2.95091152817238[/C][/ROW]
[ROW][C]0.13[/C][C]74.5839265913382[/C][C]2.78469167681992[/C][/ROW]
[ROW][C]0.14[/C][C]75.4313336421116[/C][C]2.7304197489398[/C][/ROW]
[ROW][C]0.15[/C][C]76.2348403967012[/C][C]2.76826158320785[/C][/ROW]
[ROW][C]0.16[/C][C]77.022350944209[/C][C]2.87557005816549[/C][/ROW]
[ROW][C]0.17[/C][C]77.8134246084787[/C][C]3.02811544198842[/C][/ROW]
[ROW][C]0.18[/C][C]78.6196543491732[/C][C]3.19932929470222[/C][/ROW]
[ROW][C]0.19[/C][C]79.4452450150877[/C][C]3.36215290724486[/C][/ROW]
[ROW][C]0.2[/C][C]80.2878964327074[/C][C]3.49128041213473[/C][/ROW]
[ROW][C]0.21[/C][C]81.1401846612578[/C][C]3.56852872652164[/C][/ROW]
[ROW][C]0.22[/C][C]81.9914850296737[/C][C]3.58536567984926[/C][/ROW]
[ROW][C]0.23[/C][C]82.8302272045138[/C][C]3.54415237864029[/C][/ROW]
[ROW][C]0.24[/C][C]83.6460816154343[/C][C]3.45645039444504[/C][/ROW]
[ROW][C]0.25[/C][C]84.4316440682688[/C][C]3.34075488162024[/C][/ROW]
[ROW][C]0.26[/C][C]85.1833116461998[/C][C]3.21738578012537[/C][/ROW]
[ROW][C]0.27[/C][C]85.9012619390533[/C][C]3.10474727592269[/C][/ROW]
[ROW][C]0.28[/C][C]86.5886724314321[/C][C]3.01479181730454[/C][/ROW]
[ROW][C]0.29[/C][C]87.2504766301859[/C][C]2.95184431338465[/C][/ROW]
[ROW][C]0.3[/C][C]87.892012293292[/C][C]2.91268372002743[/C][/ROW]
[ROW][C]0.31[/C][C]88.5178767587291[/C][C]2.88927062310925[/C][/ROW]
[ROW][C]0.32[/C][C]89.1311954999867[/C][C]2.87142072335933[/C][/ROW]
[ROW][C]0.33[/C][C]89.7333766352045[/C][C]2.84978753465511[/C][/ROW]
[ROW][C]0.34[/C][C]90.3243070891962[/C][C]2.81811677385491[/C][/ROW]
[ROW][C]0.35[/C][C]90.902871178524[/C][C]2.77330437646665[/C][/ROW]
[ROW][C]0.36[/C][C]91.4676457302277[/C][C]2.71672804839995[/C][/ROW]
[ROW][C]0.37[/C][C]92.0176374929355[/C][C]2.65292604250444[/C][/ROW]
[ROW][C]0.38[/C][C]92.5529606769808[/C][C]2.58948600962915[/C][/ROW]
[ROW][C]0.39[/C][C]93.0753878151757[/C][C]2.53683930635098[/C][/ROW]
[ROW][C]0.4[/C][C]93.5887349184107[/C][C]2.50721143829844[/C][/ROW]
[ROW][C]0.41[/C][C]94.0990588658215[/C][C]2.51382128149412[/C][/ROW]
[ROW][C]0.42[/C][C]94.6146535116054[/C][C]2.56968433841604[/C][/ROW]
[ROW][C]0.43[/C][C]95.1458359697194[/C][C]2.68605365511442[/C][/ROW]
[ROW][C]0.44[/C][C]95.7045206708357[/C][C]2.87050964985338[/C][/ROW]
[ROW][C]0.45[/C][C]96.3035893117192[/C][C]3.12634660554692[/C][/ROW]
[ROW][C]0.46[/C][C]96.9560811647227[/C][C]3.45100034521556[/C][/ROW]
[ROW][C]0.47[/C][C]97.6742500316575[/C][C]3.83650757482569[/C][/ROW]
[ROW][C]0.48[/C][C]98.4685592430792[/C][C]4.26953092785178[/C][/ROW]
[ROW][C]0.49[/C][C]99.3467104756647[/C][C]4.73187605378537[/C][/ROW]
[ROW][C]0.5[/C][C]100.312820104752[/C][C]5.20203339345881[/C][/ROW]
[ROW][C]0.51[/C][C]101.36686183369[/C][C]5.6564604163266[/C][/ROW]
[ROW][C]0.52[/C][C]102.504480577156[/C][C]6.07204203280454[/C][/ROW]
[ROW][C]0.53[/C][C]103.717246564533[/C][C]6.42792127238618[/C][/ROW]
[ROW][C]0.54[/C][C]104.99336107081[/C][C]6.70877524438041[/C][/ROW]
[ROW][C]0.55[/C][C]106.318752195238[/C][C]6.90551871764444[/C][/ROW]
[ROW][C]0.56[/C][C]107.678422553013[/C][C]7.01685921346606[/C][/ROW]
[ROW][C]0.57[/C][C]109.057847117073[/C][C]7.04994328640027[/C][/ROW]
[ROW][C]0.58[/C][C]110.444186954493[/C][C]7.01782578043939[/C][/ROW]
[ROW][C]0.59[/C][C]111.827098481404[/C][C]6.93779885324912[/C][/ROW]
[ROW][C]0.6[/C][C]113.198984763851[/C][C]6.82733865755464[/C][/ROW]
[ROW][C]0.61[/C][C]114.5546485974[/C][C]6.70044655945724[/C][/ROW]
[ROW][C]0.62[/C][C]115.890444785079[/C][C]6.56482862131207[/C][/ROW]
[ROW][C]0.63[/C][C]117.203157435323[/C][C]6.42010063889858[/C][/ROW]
[ROW][C]0.64[/C][C]118.488909832589[/C][C]6.25871116502561[/C][/ROW]
[ROW][C]0.65[/C][C]119.742420115557[/C][C]6.06941956777607[/C][/ROW]
[ROW][C]0.66[/C][C]120.956835430036[/C][C]5.84103852716259[/C][/ROW]
[ROW][C]0.67[/C][C]122.124225691328[/C][C]5.5672593547603[/C][/ROW]
[ROW][C]0.68[/C][C]123.236634604045[/C][C]5.24875970012705[/C][/ROW]
[ROW][C]0.69[/C][C]124.287422578485[/C][C]4.89530958521858[/C][/ROW]
[ROW][C]0.7[/C][C]125.272543482194[/C][C]4.52366103034859[/C][/ROW]
[ROW][C]0.71[/C][C]126.191405550864[/C][C]4.1549514394749[/C][/ROW]
[ROW][C]0.72[/C][C]127.047076941137[/C][C]3.81016760133902[/C][/ROW]
[ROW][C]0.73[/C][C]127.845777465981[/C][C]3.50627192603726[/C][/ROW]
[ROW][C]0.74[/C][C]128.595796520343[/C][C]3.25216746990095[/C][/ROW]
[ROW][C]0.75[/C][C]129.306133548671[/C][C]3.04792801450069[/C][/ROW]
[ROW][C]0.76[/C][C]129.98522494919[/C][C]2.88566192985706[/C][/ROW]
[ROW][C]0.77[/C][C]130.640081520198[/C][C]2.75369501726479[/C][/ROW]
[ROW][C]0.78[/C][C]131.276030000904[/C][C]2.6401883416739[/C][/ROW]
[ROW][C]0.79[/C][C]131.89707860916[/C][C]2.53751350812084[/C][/ROW]
[ROW][C]0.8[/C][C]132.506773022383[/C][C]2.44326665564396[/C][/ROW]
[ROW][C]0.81[/C][C]133.109329827965[/C][C]2.36108603358929[/C][/ROW]
[ROW][C]0.82[/C][C]133.710844820159[/C][C]2.2992792683131[/C][/ROW]
[ROW][C]0.83[/C][C]134.320432208297[/C][C]2.2692980122494[/C][/ROW]
[ROW][C]0.84[/C][C]134.951170108118[/C][C]2.28460231003371[/C][/ROW]
[ROW][C]0.85[/C][C]135.620631691277[/C][C]2.3600037075992[/C][/ROW]
[ROW][C]0.86[/C][C]136.350601542312[/C][C]2.50827845327038[/C][/ROW]
[ROW][C]0.87[/C][C]137.165524130096[/C][C]2.73362726654707[/C][/ROW]
[ROW][C]0.88[/C][C]138.089643005455[/C][C]3.02278722350847[/C][/ROW]
[ROW][C]0.89[/C][C]139.143885537663[/C][C]3.34200506340814[/C][/ROW]
[ROW][C]0.9[/C][C]140.345091441715[/C][C]3.64879181235963[/C][/ROW]
[ROW][C]0.91[/C][C]141.711307890386[/C][C]3.91673991978014[/C][/ROW]
[ROW][C]0.92[/C][C]143.27626550285[/C][C]4.16919117055467[/C][/ROW]
[ROW][C]0.93[/C][C]145.112270245556[/C][C]4.50182655995213[/C][/ROW]
[ROW][C]0.94[/C][C]147.351538932286[/C][C]5.06936168279726[/C][/ROW]
[ROW][C]0.95[/C][C]150.17934497929[/C][C]5.99198435419701[/C][/ROW]
[ROW][C]0.96[/C][C]153.753224800526[/C][C]7.15164838780484[/C][/ROW]
[ROW][C]0.97[/C][C]158.011821843318[/C][C]7.93002352307569[/C][/ROW]
[ROW][C]0.98[/C][C]162.435939786612[/C][C]7.20558207508153[/C][/ROW]
[ROW][C]0.99[/C][C]166.020327523416[/C][C]4.38529980247334[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233771&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233771&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
0.0152.944951880721.3826169115182
0.0254.2385589209192.98759922272851
0.0356.23293202857914.48954063228175
0.0458.69502837004455.43124352800916
0.0561.32770321291215.74807374007862
0.0663.87989964139125.59906174252958
0.0766.19703227599035.18755660600758
0.0868.21541197682654.66757759685945
0.0969.93288249723564.1328307949654
0.171.38068832300913.64249006138751
0.1172.60498275989523.23933843147593
0.1273.65638148176372.95091152817238
0.1374.58392659133822.78469167681992
0.1475.43133364211162.7304197489398
0.1576.23484039670122.76826158320785
0.1677.0223509442092.87557005816549
0.1777.81342460847873.02811544198842
0.1878.61965434917323.19932929470222
0.1979.44524501508773.36215290724486
0.280.28789643270743.49128041213473
0.2181.14018466125783.56852872652164
0.2281.99148502967373.58536567984926
0.2382.83022720451383.54415237864029
0.2483.64608161543433.45645039444504
0.2584.43164406826883.34075488162024
0.2685.18331164619983.21738578012537
0.2785.90126193905333.10474727592269
0.2886.58867243143213.01479181730454
0.2987.25047663018592.95184431338465
0.387.8920122932922.91268372002743
0.3188.51787675872912.88927062310925
0.3289.13119549998672.87142072335933
0.3389.73337663520452.84978753465511
0.3490.32430708919622.81811677385491
0.3590.9028711785242.77330437646665
0.3691.46764573022772.71672804839995
0.3792.01763749293552.65292604250444
0.3892.55296067698082.58948600962915
0.3993.07538781517572.53683930635098
0.493.58873491841072.50721143829844
0.4194.09905886582152.51382128149412
0.4294.61465351160542.56968433841604
0.4395.14583596971942.68605365511442
0.4495.70452067083572.87050964985338
0.4596.30358931171923.12634660554692
0.4696.95608116472273.45100034521556
0.4797.67425003165753.83650757482569
0.4898.46855924307924.26953092785178
0.4999.34671047566474.73187605378537
0.5100.3128201047525.20203339345881
0.51101.366861833695.6564604163266
0.52102.5044805771566.07204203280454
0.53103.7172465645336.42792127238618
0.54104.993361070816.70877524438041
0.55106.3187521952386.90551871764444
0.56107.6784225530137.01685921346606
0.57109.0578471170737.04994328640027
0.58110.4441869544937.01782578043939
0.59111.8270984814046.93779885324912
0.6113.1989847638516.82733865755464
0.61114.55464859746.70044655945724
0.62115.8904447850796.56482862131207
0.63117.2031574353236.42010063889858
0.64118.4889098325896.25871116502561
0.65119.7424201155576.06941956777607
0.66120.9568354300365.84103852716259
0.67122.1242256913285.5672593547603
0.68123.2366346040455.24875970012705
0.69124.2874225784854.89530958521858
0.7125.2725434821944.52366103034859
0.71126.1914055508644.1549514394749
0.72127.0470769411373.81016760133902
0.73127.8457774659813.50627192603726
0.74128.5957965203433.25216746990095
0.75129.3061335486713.04792801450069
0.76129.985224949192.88566192985706
0.77130.6400815201982.75369501726479
0.78131.2760300009042.6401883416739
0.79131.897078609162.53751350812084
0.8132.5067730223832.44326665564396
0.81133.1093298279652.36108603358929
0.82133.7108448201592.2992792683131
0.83134.3204322082972.2692980122494
0.84134.9511701081182.28460231003371
0.85135.6206316912772.3600037075992
0.86136.3506015423122.50827845327038
0.87137.1655241300962.73362726654707
0.88138.0896430054553.02278722350847
0.89139.1438855376633.34200506340814
0.9140.3450914417153.64879181235963
0.91141.7113078903863.91673991978014
0.92143.276265502854.16919117055467
0.93145.1122702455564.50182655995213
0.94147.3515389322865.06936168279726
0.95150.179344979295.99198435419701
0.96153.7532248005267.15164838780484
0.97158.0118218433187.93002352307569
0.98162.4359397866127.20558207508153
0.99166.0203275234164.38529980247334


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')