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 computationMon, 07 Oct 2013 05:13:57 -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/2013/Oct/07/t13811372648c6f65ej2bb3yva.htm/, Retrieved Fri, 03 May 2024 11:01:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213583, Retrieved Fri, 03 May 2024 11:01:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact100

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] [] [2013-10-07 09:13:57] [14b1e901e86f0e99d3e5ae27817fa672] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
82.81
83.42
83.45
83.71
84.8
85.95
86.22
86.75
87.06
87.17
87.63
87.78
88.4
89.35
89.53
90.66
90.81
91.55
91.58
91.76
91.78
91.71
91.57
91.95
92.16
92.26
92.44
93.12
93.55
93.63
93.74
94.08
94.24
94.66
94.69
94.69
94.69
94.72
95.15
95.28
96.12
96.5
96.67
96.83
97.4
97.75
97.46
97.46
97.56
97.97
98.89
99.1
99.3
100
99.73
99.34
99.78
99.5
99.6
99.52
99.63
99.61
99.73
100.53
100.87
100.9
101.08
102.95
102.58
102.6
102.45
102.41
102.38
102.65
103.33
103.68
104.13
104.3
104.11
104.17
104.23
104.47
104.86
104.9

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' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213583&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213583&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213583&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' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0183.02330397620160.484939118634537
0.0283.34191023323930.488925793943381
0.0383.70604831408820.71397134001971
0.0484.12659273018580.98748348443364
0.0584.6060170721911.17370077548043
0.0685.11507174222041.23352047344318
0.0785.61458215057151.19710666827367
0.0886.07771915947211.1228277656987
0.0986.49709830403271.06354840743069
0.186.88057089821341.0496824915523
0.1187.24323349857221.08763275450075
0.1287.60043300462041.16554268859411
0.1387.96339123039931.26253032331746
0.1488.33733147431971.35616819386318
0.1588.72145213717671.42651936592775
0.1689.11009611489961.45990192570799
0.1789.4945762417281.44962617876941
0.1889.86520468540561.3964820273458
0.1990.21315300946861.30721338393201
0.290.5318701842961.19379634097315
0.2190.81790909865941.07010000355505
0.2291.07113744649620.950098442730044
0.2391.29441305767940.846253764763136
0.2491.49287221839910.768514696556223
0.2591.67300847789950.721816650354877
0.2691.84171358776760.706999790559111
0.2792.00542141304980.719558029473547
0.2892.16945150651970.75191235024715
0.2992.3376021012820.795544549755535
0.392.51200019432970.8419585782758
0.3192.69318335766630.884240533281444
0.3292.88036527254010.917230897732501
0.3393.07182434927980.937994056741806
0.3493.26535097823920.945786218430539
0.3593.45869239937730.941648620721395
0.3693.64994305564830.928606757871525
0.3793.83784062671720.910817322227506
0.3894.02194189848510.892923300130047
0.3994.20266694166560.879911510648261
0.494.38121421045120.875709972223511
0.4194.55936303932580.883095514145622
0.4294.73919331385120.902937946875185
0.4394.92276366742150.933786513882126
0.4495.11179722557850.97273084287923
0.4595.30742499648271.01526308959047
0.4695.51002940255491.05649138357416
0.4795.71921386588381.0920482266753
0.4895.93390100279031.11853174148232
0.4996.15253640453971.13390731979308
0.596.37335304095251.13849663507699
0.5196.59463858403281.13339464524165
0.5296.8149480455541.1214212975221
0.5397.03321762641861.10525920625958
0.5497.24875978020811.08716095555853
0.5597.46114861130661.06885496890893
0.5697.67003183743811.04988501220039
0.5797.87492395423611.02908946749927
0.5898.07504032531731.00397186539284
0.5998.26922240448250.971618046529154
0.698.45598264411570.930299955367492
0.6198.63366943694870.878914188605647
0.6298.80072481563220.818638485640899
0.6398.95598725083260.752020463657225
0.6499.09898304409950.683103553097392
0.6599.2301533870570.617083526627563
0.6699.35097770904260.559694331609283
0.6799.46397285146070.516735349207439
0.6899.5725668280660.493143814990621
0.6999.68086152294620.492241606921593
0.799.7933087397230.514769293173184
0.7199.91432875042390.558607899298299
0.72100.0479016934260.619624828679148
0.73100.1971624793180.692105419768957
0.74100.3640319956450.76903159677332
0.75100.5489231881410.843193743970003
0.76100.750569645460.907019756040064
0.77100.966032516220.953246271395806
0.78101.1909405040130.976201852604574
0.79101.4199963601930.972826699331457
0.8101.6477333533190.943222153679275
0.81101.8694281347090.891954285816726
0.82102.0819894957730.827297808395144
0.83102.2845785826720.760410204085593
0.84102.4787145862410.70305648518159
0.85102.6677101569260.66393442038034
0.86102.855464247670.644893372597435
0.87103.0448787403710.639388905292345
0.88103.2363827974020.634443326308828
0.89103.4271480744070.615894137725326
0.9103.6114743925650.573704701437498
0.91103.7824949839980.505849534065576
0.92103.9348697846820.420092022507962
0.93104.0676694614330.332337242000382
0.94104.1863359862920.263151610875013
0.95104.3023755654980.23173245166879
0.96104.4291893548760.241777180930028
0.97104.5729707598280.264501617054173
0.98104.721445222880.245159317881697
0.99104.8414840795760.147145019068736

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 83.0233039762016 & 0.484939118634537 \tabularnewline
0.02 & 83.3419102332393 & 0.488925793943381 \tabularnewline
0.03 & 83.7060483140882 & 0.71397134001971 \tabularnewline
0.04 & 84.1265927301858 & 0.98748348443364 \tabularnewline
0.05 & 84.606017072191 & 1.17370077548043 \tabularnewline
0.06 & 85.1150717422204 & 1.23352047344318 \tabularnewline
0.07 & 85.6145821505715 & 1.19710666827367 \tabularnewline
0.08 & 86.0777191594721 & 1.1228277656987 \tabularnewline
0.09 & 86.4970983040327 & 1.06354840743069 \tabularnewline
0.1 & 86.8805708982134 & 1.0496824915523 \tabularnewline
0.11 & 87.2432334985722 & 1.08763275450075 \tabularnewline
0.12 & 87.6004330046204 & 1.16554268859411 \tabularnewline
0.13 & 87.9633912303993 & 1.26253032331746 \tabularnewline
0.14 & 88.3373314743197 & 1.35616819386318 \tabularnewline
0.15 & 88.7214521371767 & 1.42651936592775 \tabularnewline
0.16 & 89.1100961148996 & 1.45990192570799 \tabularnewline
0.17 & 89.494576241728 & 1.44962617876941 \tabularnewline
0.18 & 89.8652046854056 & 1.3964820273458 \tabularnewline
0.19 & 90.2131530094686 & 1.30721338393201 \tabularnewline
0.2 & 90.531870184296 & 1.19379634097315 \tabularnewline
0.21 & 90.8179090986594 & 1.07010000355505 \tabularnewline
0.22 & 91.0711374464962 & 0.950098442730044 \tabularnewline
0.23 & 91.2944130576794 & 0.846253764763136 \tabularnewline
0.24 & 91.4928722183991 & 0.768514696556223 \tabularnewline
0.25 & 91.6730084778995 & 0.721816650354877 \tabularnewline
0.26 & 91.8417135877676 & 0.706999790559111 \tabularnewline
0.27 & 92.0054214130498 & 0.719558029473547 \tabularnewline
0.28 & 92.1694515065197 & 0.75191235024715 \tabularnewline
0.29 & 92.337602101282 & 0.795544549755535 \tabularnewline
0.3 & 92.5120001943297 & 0.8419585782758 \tabularnewline
0.31 & 92.6931833576663 & 0.884240533281444 \tabularnewline
0.32 & 92.8803652725401 & 0.917230897732501 \tabularnewline
0.33 & 93.0718243492798 & 0.937994056741806 \tabularnewline
0.34 & 93.2653509782392 & 0.945786218430539 \tabularnewline
0.35 & 93.4586923993773 & 0.941648620721395 \tabularnewline
0.36 & 93.6499430556483 & 0.928606757871525 \tabularnewline
0.37 & 93.8378406267172 & 0.910817322227506 \tabularnewline
0.38 & 94.0219418984851 & 0.892923300130047 \tabularnewline
0.39 & 94.2026669416656 & 0.879911510648261 \tabularnewline
0.4 & 94.3812142104512 & 0.875709972223511 \tabularnewline
0.41 & 94.5593630393258 & 0.883095514145622 \tabularnewline
0.42 & 94.7391933138512 & 0.902937946875185 \tabularnewline
0.43 & 94.9227636674215 & 0.933786513882126 \tabularnewline
0.44 & 95.1117972255785 & 0.97273084287923 \tabularnewline
0.45 & 95.3074249964827 & 1.01526308959047 \tabularnewline
0.46 & 95.5100294025549 & 1.05649138357416 \tabularnewline
0.47 & 95.7192138658838 & 1.0920482266753 \tabularnewline
0.48 & 95.9339010027903 & 1.11853174148232 \tabularnewline
0.49 & 96.1525364045397 & 1.13390731979308 \tabularnewline
0.5 & 96.3733530409525 & 1.13849663507699 \tabularnewline
0.51 & 96.5946385840328 & 1.13339464524165 \tabularnewline
0.52 & 96.814948045554 & 1.1214212975221 \tabularnewline
0.53 & 97.0332176264186 & 1.10525920625958 \tabularnewline
0.54 & 97.2487597802081 & 1.08716095555853 \tabularnewline
0.55 & 97.4611486113066 & 1.06885496890893 \tabularnewline
0.56 & 97.6700318374381 & 1.04988501220039 \tabularnewline
0.57 & 97.8749239542361 & 1.02908946749927 \tabularnewline
0.58 & 98.0750403253173 & 1.00397186539284 \tabularnewline
0.59 & 98.2692224044825 & 0.971618046529154 \tabularnewline
0.6 & 98.4559826441157 & 0.930299955367492 \tabularnewline
0.61 & 98.6336694369487 & 0.878914188605647 \tabularnewline
0.62 & 98.8007248156322 & 0.818638485640899 \tabularnewline
0.63 & 98.9559872508326 & 0.752020463657225 \tabularnewline
0.64 & 99.0989830440995 & 0.683103553097392 \tabularnewline
0.65 & 99.230153387057 & 0.617083526627563 \tabularnewline
0.66 & 99.3509777090426 & 0.559694331609283 \tabularnewline
0.67 & 99.4639728514607 & 0.516735349207439 \tabularnewline
0.68 & 99.572566828066 & 0.493143814990621 \tabularnewline
0.69 & 99.6808615229462 & 0.492241606921593 \tabularnewline
0.7 & 99.793308739723 & 0.514769293173184 \tabularnewline
0.71 & 99.9143287504239 & 0.558607899298299 \tabularnewline
0.72 & 100.047901693426 & 0.619624828679148 \tabularnewline
0.73 & 100.197162479318 & 0.692105419768957 \tabularnewline
0.74 & 100.364031995645 & 0.76903159677332 \tabularnewline
0.75 & 100.548923188141 & 0.843193743970003 \tabularnewline
0.76 & 100.75056964546 & 0.907019756040064 \tabularnewline
0.77 & 100.96603251622 & 0.953246271395806 \tabularnewline
0.78 & 101.190940504013 & 0.976201852604574 \tabularnewline
0.79 & 101.419996360193 & 0.972826699331457 \tabularnewline
0.8 & 101.647733353319 & 0.943222153679275 \tabularnewline
0.81 & 101.869428134709 & 0.891954285816726 \tabularnewline
0.82 & 102.081989495773 & 0.827297808395144 \tabularnewline
0.83 & 102.284578582672 & 0.760410204085593 \tabularnewline
0.84 & 102.478714586241 & 0.70305648518159 \tabularnewline
0.85 & 102.667710156926 & 0.66393442038034 \tabularnewline
0.86 & 102.85546424767 & 0.644893372597435 \tabularnewline
0.87 & 103.044878740371 & 0.639388905292345 \tabularnewline
0.88 & 103.236382797402 & 0.634443326308828 \tabularnewline
0.89 & 103.427148074407 & 0.615894137725326 \tabularnewline
0.9 & 103.611474392565 & 0.573704701437498 \tabularnewline
0.91 & 103.782494983998 & 0.505849534065576 \tabularnewline
0.92 & 103.934869784682 & 0.420092022507962 \tabularnewline
0.93 & 104.067669461433 & 0.332337242000382 \tabularnewline
0.94 & 104.186335986292 & 0.263151610875013 \tabularnewline
0.95 & 104.302375565498 & 0.23173245166879 \tabularnewline
0.96 & 104.429189354876 & 0.241777180930028 \tabularnewline
0.97 & 104.572970759828 & 0.264501617054173 \tabularnewline
0.98 & 104.72144522288 & 0.245159317881697 \tabularnewline
0.99 & 104.841484079576 & 0.147145019068736 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213583&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]83.0233039762016[/C][C]0.484939118634537[/C][/ROW]
[ROW][C]0.02[/C][C]83.3419102332393[/C][C]0.488925793943381[/C][/ROW]
[ROW][C]0.03[/C][C]83.7060483140882[/C][C]0.71397134001971[/C][/ROW]
[ROW][C]0.04[/C][C]84.1265927301858[/C][C]0.98748348443364[/C][/ROW]
[ROW][C]0.05[/C][C]84.606017072191[/C][C]1.17370077548043[/C][/ROW]
[ROW][C]0.06[/C][C]85.1150717422204[/C][C]1.23352047344318[/C][/ROW]
[ROW][C]0.07[/C][C]85.6145821505715[/C][C]1.19710666827367[/C][/ROW]
[ROW][C]0.08[/C][C]86.0777191594721[/C][C]1.1228277656987[/C][/ROW]
[ROW][C]0.09[/C][C]86.4970983040327[/C][C]1.06354840743069[/C][/ROW]
[ROW][C]0.1[/C][C]86.8805708982134[/C][C]1.0496824915523[/C][/ROW]
[ROW][C]0.11[/C][C]87.2432334985722[/C][C]1.08763275450075[/C][/ROW]
[ROW][C]0.12[/C][C]87.6004330046204[/C][C]1.16554268859411[/C][/ROW]
[ROW][C]0.13[/C][C]87.9633912303993[/C][C]1.26253032331746[/C][/ROW]
[ROW][C]0.14[/C][C]88.3373314743197[/C][C]1.35616819386318[/C][/ROW]
[ROW][C]0.15[/C][C]88.7214521371767[/C][C]1.42651936592775[/C][/ROW]
[ROW][C]0.16[/C][C]89.1100961148996[/C][C]1.45990192570799[/C][/ROW]
[ROW][C]0.17[/C][C]89.494576241728[/C][C]1.44962617876941[/C][/ROW]
[ROW][C]0.18[/C][C]89.8652046854056[/C][C]1.3964820273458[/C][/ROW]
[ROW][C]0.19[/C][C]90.2131530094686[/C][C]1.30721338393201[/C][/ROW]
[ROW][C]0.2[/C][C]90.531870184296[/C][C]1.19379634097315[/C][/ROW]
[ROW][C]0.21[/C][C]90.8179090986594[/C][C]1.07010000355505[/C][/ROW]
[ROW][C]0.22[/C][C]91.0711374464962[/C][C]0.950098442730044[/C][/ROW]
[ROW][C]0.23[/C][C]91.2944130576794[/C][C]0.846253764763136[/C][/ROW]
[ROW][C]0.24[/C][C]91.4928722183991[/C][C]0.768514696556223[/C][/ROW]
[ROW][C]0.25[/C][C]91.6730084778995[/C][C]0.721816650354877[/C][/ROW]
[ROW][C]0.26[/C][C]91.8417135877676[/C][C]0.706999790559111[/C][/ROW]
[ROW][C]0.27[/C][C]92.0054214130498[/C][C]0.719558029473547[/C][/ROW]
[ROW][C]0.28[/C][C]92.1694515065197[/C][C]0.75191235024715[/C][/ROW]
[ROW][C]0.29[/C][C]92.337602101282[/C][C]0.795544549755535[/C][/ROW]
[ROW][C]0.3[/C][C]92.5120001943297[/C][C]0.8419585782758[/C][/ROW]
[ROW][C]0.31[/C][C]92.6931833576663[/C][C]0.884240533281444[/C][/ROW]
[ROW][C]0.32[/C][C]92.8803652725401[/C][C]0.917230897732501[/C][/ROW]
[ROW][C]0.33[/C][C]93.0718243492798[/C][C]0.937994056741806[/C][/ROW]
[ROW][C]0.34[/C][C]93.2653509782392[/C][C]0.945786218430539[/C][/ROW]
[ROW][C]0.35[/C][C]93.4586923993773[/C][C]0.941648620721395[/C][/ROW]
[ROW][C]0.36[/C][C]93.6499430556483[/C][C]0.928606757871525[/C][/ROW]
[ROW][C]0.37[/C][C]93.8378406267172[/C][C]0.910817322227506[/C][/ROW]
[ROW][C]0.38[/C][C]94.0219418984851[/C][C]0.892923300130047[/C][/ROW]
[ROW][C]0.39[/C][C]94.2026669416656[/C][C]0.879911510648261[/C][/ROW]
[ROW][C]0.4[/C][C]94.3812142104512[/C][C]0.875709972223511[/C][/ROW]
[ROW][C]0.41[/C][C]94.5593630393258[/C][C]0.883095514145622[/C][/ROW]
[ROW][C]0.42[/C][C]94.7391933138512[/C][C]0.902937946875185[/C][/ROW]
[ROW][C]0.43[/C][C]94.9227636674215[/C][C]0.933786513882126[/C][/ROW]
[ROW][C]0.44[/C][C]95.1117972255785[/C][C]0.97273084287923[/C][/ROW]
[ROW][C]0.45[/C][C]95.3074249964827[/C][C]1.01526308959047[/C][/ROW]
[ROW][C]0.46[/C][C]95.5100294025549[/C][C]1.05649138357416[/C][/ROW]
[ROW][C]0.47[/C][C]95.7192138658838[/C][C]1.0920482266753[/C][/ROW]
[ROW][C]0.48[/C][C]95.9339010027903[/C][C]1.11853174148232[/C][/ROW]
[ROW][C]0.49[/C][C]96.1525364045397[/C][C]1.13390731979308[/C][/ROW]
[ROW][C]0.5[/C][C]96.3733530409525[/C][C]1.13849663507699[/C][/ROW]
[ROW][C]0.51[/C][C]96.5946385840328[/C][C]1.13339464524165[/C][/ROW]
[ROW][C]0.52[/C][C]96.814948045554[/C][C]1.1214212975221[/C][/ROW]
[ROW][C]0.53[/C][C]97.0332176264186[/C][C]1.10525920625958[/C][/ROW]
[ROW][C]0.54[/C][C]97.2487597802081[/C][C]1.08716095555853[/C][/ROW]
[ROW][C]0.55[/C][C]97.4611486113066[/C][C]1.06885496890893[/C][/ROW]
[ROW][C]0.56[/C][C]97.6700318374381[/C][C]1.04988501220039[/C][/ROW]
[ROW][C]0.57[/C][C]97.8749239542361[/C][C]1.02908946749927[/C][/ROW]
[ROW][C]0.58[/C][C]98.0750403253173[/C][C]1.00397186539284[/C][/ROW]
[ROW][C]0.59[/C][C]98.2692224044825[/C][C]0.971618046529154[/C][/ROW]
[ROW][C]0.6[/C][C]98.4559826441157[/C][C]0.930299955367492[/C][/ROW]
[ROW][C]0.61[/C][C]98.6336694369487[/C][C]0.878914188605647[/C][/ROW]
[ROW][C]0.62[/C][C]98.8007248156322[/C][C]0.818638485640899[/C][/ROW]
[ROW][C]0.63[/C][C]98.9559872508326[/C][C]0.752020463657225[/C][/ROW]
[ROW][C]0.64[/C][C]99.0989830440995[/C][C]0.683103553097392[/C][/ROW]
[ROW][C]0.65[/C][C]99.230153387057[/C][C]0.617083526627563[/C][/ROW]
[ROW][C]0.66[/C][C]99.3509777090426[/C][C]0.559694331609283[/C][/ROW]
[ROW][C]0.67[/C][C]99.4639728514607[/C][C]0.516735349207439[/C][/ROW]
[ROW][C]0.68[/C][C]99.572566828066[/C][C]0.493143814990621[/C][/ROW]
[ROW][C]0.69[/C][C]99.6808615229462[/C][C]0.492241606921593[/C][/ROW]
[ROW][C]0.7[/C][C]99.793308739723[/C][C]0.514769293173184[/C][/ROW]
[ROW][C]0.71[/C][C]99.9143287504239[/C][C]0.558607899298299[/C][/ROW]
[ROW][C]0.72[/C][C]100.047901693426[/C][C]0.619624828679148[/C][/ROW]
[ROW][C]0.73[/C][C]100.197162479318[/C][C]0.692105419768957[/C][/ROW]
[ROW][C]0.74[/C][C]100.364031995645[/C][C]0.76903159677332[/C][/ROW]
[ROW][C]0.75[/C][C]100.548923188141[/C][C]0.843193743970003[/C][/ROW]
[ROW][C]0.76[/C][C]100.75056964546[/C][C]0.907019756040064[/C][/ROW]
[ROW][C]0.77[/C][C]100.96603251622[/C][C]0.953246271395806[/C][/ROW]
[ROW][C]0.78[/C][C]101.190940504013[/C][C]0.976201852604574[/C][/ROW]
[ROW][C]0.79[/C][C]101.419996360193[/C][C]0.972826699331457[/C][/ROW]
[ROW][C]0.8[/C][C]101.647733353319[/C][C]0.943222153679275[/C][/ROW]
[ROW][C]0.81[/C][C]101.869428134709[/C][C]0.891954285816726[/C][/ROW]
[ROW][C]0.82[/C][C]102.081989495773[/C][C]0.827297808395144[/C][/ROW]
[ROW][C]0.83[/C][C]102.284578582672[/C][C]0.760410204085593[/C][/ROW]
[ROW][C]0.84[/C][C]102.478714586241[/C][C]0.70305648518159[/C][/ROW]
[ROW][C]0.85[/C][C]102.667710156926[/C][C]0.66393442038034[/C][/ROW]
[ROW][C]0.86[/C][C]102.85546424767[/C][C]0.644893372597435[/C][/ROW]
[ROW][C]0.87[/C][C]103.044878740371[/C][C]0.639388905292345[/C][/ROW]
[ROW][C]0.88[/C][C]103.236382797402[/C][C]0.634443326308828[/C][/ROW]
[ROW][C]0.89[/C][C]103.427148074407[/C][C]0.615894137725326[/C][/ROW]
[ROW][C]0.9[/C][C]103.611474392565[/C][C]0.573704701437498[/C][/ROW]
[ROW][C]0.91[/C][C]103.782494983998[/C][C]0.505849534065576[/C][/ROW]
[ROW][C]0.92[/C][C]103.934869784682[/C][C]0.420092022507962[/C][/ROW]
[ROW][C]0.93[/C][C]104.067669461433[/C][C]0.332337242000382[/C][/ROW]
[ROW][C]0.94[/C][C]104.186335986292[/C][C]0.263151610875013[/C][/ROW]
[ROW][C]0.95[/C][C]104.302375565498[/C][C]0.23173245166879[/C][/ROW]
[ROW][C]0.96[/C][C]104.429189354876[/C][C]0.241777180930028[/C][/ROW]
[ROW][C]0.97[/C][C]104.572970759828[/C][C]0.264501617054173[/C][/ROW]
[ROW][C]0.98[/C][C]104.72144522288[/C][C]0.245159317881697[/C][/ROW]
[ROW][C]0.99[/C][C]104.841484079576[/C][C]0.147145019068736[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213583&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213583&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
0.0183.02330397620160.484939118634537
0.0283.34191023323930.488925793943381
0.0383.70604831408820.71397134001971
0.0484.12659273018580.98748348443364
0.0584.6060170721911.17370077548043
0.0685.11507174222041.23352047344318
0.0785.61458215057151.19710666827367
0.0886.07771915947211.1228277656987
0.0986.49709830403271.06354840743069
0.186.88057089821341.0496824915523
0.1187.24323349857221.08763275450075
0.1287.60043300462041.16554268859411
0.1387.96339123039931.26253032331746
0.1488.33733147431971.35616819386318
0.1588.72145213717671.42651936592775
0.1689.11009611489961.45990192570799
0.1789.4945762417281.44962617876941
0.1889.86520468540561.3964820273458
0.1990.21315300946861.30721338393201
0.290.5318701842961.19379634097315
0.2190.81790909865941.07010000355505
0.2291.07113744649620.950098442730044
0.2391.29441305767940.846253764763136
0.2491.49287221839910.768514696556223
0.2591.67300847789950.721816650354877
0.2691.84171358776760.706999790559111
0.2792.00542141304980.719558029473547
0.2892.16945150651970.75191235024715
0.2992.3376021012820.795544549755535
0.392.51200019432970.8419585782758
0.3192.69318335766630.884240533281444
0.3292.88036527254010.917230897732501
0.3393.07182434927980.937994056741806
0.3493.26535097823920.945786218430539
0.3593.45869239937730.941648620721395
0.3693.64994305564830.928606757871525
0.3793.83784062671720.910817322227506
0.3894.02194189848510.892923300130047
0.3994.20266694166560.879911510648261
0.494.38121421045120.875709972223511
0.4194.55936303932580.883095514145622
0.4294.73919331385120.902937946875185
0.4394.92276366742150.933786513882126
0.4495.11179722557850.97273084287923
0.4595.30742499648271.01526308959047
0.4695.51002940255491.05649138357416
0.4795.71921386588381.0920482266753
0.4895.93390100279031.11853174148232
0.4996.15253640453971.13390731979308
0.596.37335304095251.13849663507699
0.5196.59463858403281.13339464524165
0.5296.8149480455541.1214212975221
0.5397.03321762641861.10525920625958
0.5497.24875978020811.08716095555853
0.5597.46114861130661.06885496890893
0.5697.67003183743811.04988501220039
0.5797.87492395423611.02908946749927
0.5898.07504032531731.00397186539284
0.5998.26922240448250.971618046529154
0.698.45598264411570.930299955367492
0.6198.63366943694870.878914188605647
0.6298.80072481563220.818638485640899
0.6398.95598725083260.752020463657225
0.6499.09898304409950.683103553097392
0.6599.2301533870570.617083526627563
0.6699.35097770904260.559694331609283
0.6799.46397285146070.516735349207439
0.6899.5725668280660.493143814990621
0.6999.68086152294620.492241606921593
0.799.7933087397230.514769293173184
0.7199.91432875042390.558607899298299
0.72100.0479016934260.619624828679148
0.73100.1971624793180.692105419768957
0.74100.3640319956450.76903159677332
0.75100.5489231881410.843193743970003
0.76100.750569645460.907019756040064
0.77100.966032516220.953246271395806
0.78101.1909405040130.976201852604574
0.79101.4199963601930.972826699331457
0.8101.6477333533190.943222153679275
0.81101.8694281347090.891954285816726
0.82102.0819894957730.827297808395144
0.83102.2845785826720.760410204085593
0.84102.4787145862410.70305648518159
0.85102.6677101569260.66393442038034
0.86102.855464247670.644893372597435
0.87103.0448787403710.639388905292345
0.88103.2363827974020.634443326308828
0.89103.4271480744070.615894137725326
0.9103.6114743925650.573704701437498
0.91103.7824949839980.505849534065576
0.92103.9348697846820.420092022507962
0.93104.0676694614330.332337242000382
0.94104.1863359862920.263151610875013
0.95104.3023755654980.23173245166879
0.96104.4291893548760.241777180930028
0.97104.5729707598280.264501617054173
0.98104.721445222880.245159317881697
0.99104.8414840795760.147145019068736


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')