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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, 02 Jul 2009 08:24:43 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Jul/02/t1246550850nh56577lzrhg5de.htm/, Retrieved Sat, 18 May 2024 14:41:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42306, Retrieved Sat, 18 May 2024 14:41:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact201

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] [Opgave 4, oefenin...] [2009-07-02 14:24:43] [564a720da86171cdf215ca3dfe587c26] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9.26
9.29
9.28
9.31
9.27
9.27
9.28
9.25
9.32
9.33
9.31
9.3
9.29
9.33
9.35
9.35
9.37
9.37
9.35
9.33
9.34
9.37
9.33
9.31
9.26
9.27
9.29
9.27
9.29
9.31
9.33
9.35
9.34
9.35
9.38
9.43
9.47
9.5
9.55
9.58
9.61
9.57
9.61
9.65
9.62
9.63
9.62
9.63
9.65
9.72
9.75
9.77
9.78
9.82
9.84
9.9
9.94
9.96
10.03
10.03
10.12
10.12
10.05
10.14
10.17
10.2
10.2
10.35
10.43
10.52
10.57
10.57
10.57
10.65
10.57
10.61
10.63
10.71
10.72
10.77
10.79
10.82
10.9
10.83
10.92
10.91
10.88
10.87
11
10.99
11.03
11.04
10.99
10.9
11
10.99
10.92
10.98
11.15
11.19
11.33
11.38
11.4
11.45
11.56
11.61
11.82
11.77
11.85
11.82
11.92
11.86
11.87
11.94
11.86
11.92
11.83
11.91
11.93
11.99
11.96
12.12
11.85
12.01
12.1
12.21
12.31
12.31
12.39
12.35
12.41
12.51

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'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42306&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42306&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42306&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.019.25592325569130.00647101510139223
0.029.262367266124620.00554975712385341
0.039.26720900872110.00548215276379464
0.049.271276806839680.00610769725025104
0.059.275316715491470.0076625584841408
0.069.27970073886790.0090553904464702
0.079.284386905344930.00993570917982692
0.089.28920637966450.0106264739127439
0.099.294088358741070.0114281549922038
0.19.299042572297370.0122645370598426
0.119.3040618636960.0128911909738531
0.129.309086593626660.0132244626185484
0.139.314034107999710.0133049782491074
0.149.318841495601990.0132415169049028
0.159.3234932928950.0131822673793501
0.169.328036508051940.0133557019735105
0.179.33259259967660.0140635433953848
0.189.33737064396780.0156651898997426
0.199.342680828457890.0185978609248777
0.29.348942603090940.0233189145119874
0.219.356675262265780.0301996832941905
0.229.366455368115650.0393676055788593
0.239.378832507654780.0504846129504617
0.249.394213035568110.0627692318576778
0.259.412742347212060.0749879113195483
0.269.434227812252430.0857782151533388
0.279.45813859495360.093930074074965
0.289.483695625187140.0987024724764033
0.299.510033900271520.100180714004892
0.39.536393136214430.0990973230852407
0.319.562282429156430.0968732557161936
0.329.587573786434640.0950734333691055
0.339.612503527374040.095150337834993
0.349.637589454707780.098032746685839
0.359.663494600993080.103903315810960
0.369.690878419215360.112331003011346
0.379.720272616266440.122408753191905
0.389.752005607730330.133191110809038
0.399.78618325566150.143777772868057
0.49.822719697420950.153519526717022
0.419.861403340060540.162070194754738
0.429.901979147352220.169493688272700
0.439.944227413819640.176073186532904
0.449.988020118783660.182407224009488
0.4510.03333918969690.189001859466967
0.4610.08024817383190.196116716066413
0.4710.12882067771910.203686659934163
0.4810.17904350067880.211058921706909
0.4910.23072459139730.217175317444230
0.510.28343954538950.220884663834437
0.5110.33654134175810.221205268372436
0.5210.3892376829750.217704730264115
0.5310.44071580512940.210571121221807
0.5410.49027624077160.200657947912476
0.5510.53743319766000.189145981143591
0.5610.58195212312920.177263131680194
0.5710.62381913399650.165903353409388
0.5810.663161753620.155470948964271
0.5910.70015547579870.145915545105090
0.610.73495086760810.136926531978367
0.6110.76764314273840.128139692210560
0.6210.79828769415710.119416119375263
0.6310.82694956202820.110861663955418
0.6410.85376792416100.102929980617152
0.6510.87901896755260.096261023398906
0.6610.90316774424350.09168568671513
0.6710.92690560846160.090162748385645
0.6810.95116997446660.0926244337221605
0.6910.97713740204220.100049568334396
0.711.00617452993060.112915905885960
0.7111.03973167053960.131177772343670
0.7211.07917573248530.153940186039135
0.7311.12558001359740.179488862614293
0.7411.17950835864900.205481441497940
0.7511.24083886164450.229159404716032
0.7611.30866379734810.247777764332978
0.7711.38128556915580.258887191375289
0.7811.45631660662970.260636039425455
0.7911.53088990377620.252022270062193
0.811.60198499106040.233286148348604
0.8111.66685116947140.206126053911433
0.8211.72345889123360.173615787144743
0.8311.77085609357260.139814727538545
0.8411.80929726033610.108812496142309
0.8511.84008342154760.0837029346038936
0.8611.86518292383060.0660203935803115
0.8711.88682046647800.055680591220879
0.8811.90723807936330.0517586227263312
0.8911.92871355253820.0536446154437536
0.911.95372806529590.0613718435257498
0.9111.98502166662040.074811637280016
0.9212.02524783668850.092404644446413
0.9312.07604956033420.110299502269821
0.9412.1366882117290.122158001899784
0.9512.20303819852290.120940632765008
0.9612.26850327780670.104009853341543
0.9712.32790834687970.0782156674040812
0.9812.38394065271300.0576450665338405
0.9912.44983571788320.0652201704692352

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9.2559232556913 & 0.00647101510139223 \tabularnewline
0.02 & 9.26236726612462 & 0.00554975712385341 \tabularnewline
0.03 & 9.2672090087211 & 0.00548215276379464 \tabularnewline
0.04 & 9.27127680683968 & 0.00610769725025104 \tabularnewline
0.05 & 9.27531671549147 & 0.0076625584841408 \tabularnewline
0.06 & 9.2797007388679 & 0.0090553904464702 \tabularnewline
0.07 & 9.28438690534493 & 0.00993570917982692 \tabularnewline
0.08 & 9.2892063796645 & 0.0106264739127439 \tabularnewline
0.09 & 9.29408835874107 & 0.0114281549922038 \tabularnewline
0.1 & 9.29904257229737 & 0.0122645370598426 \tabularnewline
0.11 & 9.304061863696 & 0.0128911909738531 \tabularnewline
0.12 & 9.30908659362666 & 0.0132244626185484 \tabularnewline
0.13 & 9.31403410799971 & 0.0133049782491074 \tabularnewline
0.14 & 9.31884149560199 & 0.0132415169049028 \tabularnewline
0.15 & 9.323493292895 & 0.0131822673793501 \tabularnewline
0.16 & 9.32803650805194 & 0.0133557019735105 \tabularnewline
0.17 & 9.3325925996766 & 0.0140635433953848 \tabularnewline
0.18 & 9.3373706439678 & 0.0156651898997426 \tabularnewline
0.19 & 9.34268082845789 & 0.0185978609248777 \tabularnewline
0.2 & 9.34894260309094 & 0.0233189145119874 \tabularnewline
0.21 & 9.35667526226578 & 0.0301996832941905 \tabularnewline
0.22 & 9.36645536811565 & 0.0393676055788593 \tabularnewline
0.23 & 9.37883250765478 & 0.0504846129504617 \tabularnewline
0.24 & 9.39421303556811 & 0.0627692318576778 \tabularnewline
0.25 & 9.41274234721206 & 0.0749879113195483 \tabularnewline
0.26 & 9.43422781225243 & 0.0857782151533388 \tabularnewline
0.27 & 9.4581385949536 & 0.093930074074965 \tabularnewline
0.28 & 9.48369562518714 & 0.0987024724764033 \tabularnewline
0.29 & 9.51003390027152 & 0.100180714004892 \tabularnewline
0.3 & 9.53639313621443 & 0.0990973230852407 \tabularnewline
0.31 & 9.56228242915643 & 0.0968732557161936 \tabularnewline
0.32 & 9.58757378643464 & 0.0950734333691055 \tabularnewline
0.33 & 9.61250352737404 & 0.095150337834993 \tabularnewline
0.34 & 9.63758945470778 & 0.098032746685839 \tabularnewline
0.35 & 9.66349460099308 & 0.103903315810960 \tabularnewline
0.36 & 9.69087841921536 & 0.112331003011346 \tabularnewline
0.37 & 9.72027261626644 & 0.122408753191905 \tabularnewline
0.38 & 9.75200560773033 & 0.133191110809038 \tabularnewline
0.39 & 9.7861832556615 & 0.143777772868057 \tabularnewline
0.4 & 9.82271969742095 & 0.153519526717022 \tabularnewline
0.41 & 9.86140334006054 & 0.162070194754738 \tabularnewline
0.42 & 9.90197914735222 & 0.169493688272700 \tabularnewline
0.43 & 9.94422741381964 & 0.176073186532904 \tabularnewline
0.44 & 9.98802011878366 & 0.182407224009488 \tabularnewline
0.45 & 10.0333391896969 & 0.189001859466967 \tabularnewline
0.46 & 10.0802481738319 & 0.196116716066413 \tabularnewline
0.47 & 10.1288206777191 & 0.203686659934163 \tabularnewline
0.48 & 10.1790435006788 & 0.211058921706909 \tabularnewline
0.49 & 10.2307245913973 & 0.217175317444230 \tabularnewline
0.5 & 10.2834395453895 & 0.220884663834437 \tabularnewline
0.51 & 10.3365413417581 & 0.221205268372436 \tabularnewline
0.52 & 10.389237682975 & 0.217704730264115 \tabularnewline
0.53 & 10.4407158051294 & 0.210571121221807 \tabularnewline
0.54 & 10.4902762407716 & 0.200657947912476 \tabularnewline
0.55 & 10.5374331976600 & 0.189145981143591 \tabularnewline
0.56 & 10.5819521231292 & 0.177263131680194 \tabularnewline
0.57 & 10.6238191339965 & 0.165903353409388 \tabularnewline
0.58 & 10.66316175362 & 0.155470948964271 \tabularnewline
0.59 & 10.7001554757987 & 0.145915545105090 \tabularnewline
0.6 & 10.7349508676081 & 0.136926531978367 \tabularnewline
0.61 & 10.7676431427384 & 0.128139692210560 \tabularnewline
0.62 & 10.7982876941571 & 0.119416119375263 \tabularnewline
0.63 & 10.8269495620282 & 0.110861663955418 \tabularnewline
0.64 & 10.8537679241610 & 0.102929980617152 \tabularnewline
0.65 & 10.8790189675526 & 0.096261023398906 \tabularnewline
0.66 & 10.9031677442435 & 0.09168568671513 \tabularnewline
0.67 & 10.9269056084616 & 0.090162748385645 \tabularnewline
0.68 & 10.9511699744666 & 0.0926244337221605 \tabularnewline
0.69 & 10.9771374020422 & 0.100049568334396 \tabularnewline
0.7 & 11.0061745299306 & 0.112915905885960 \tabularnewline
0.71 & 11.0397316705396 & 0.131177772343670 \tabularnewline
0.72 & 11.0791757324853 & 0.153940186039135 \tabularnewline
0.73 & 11.1255800135974 & 0.179488862614293 \tabularnewline
0.74 & 11.1795083586490 & 0.205481441497940 \tabularnewline
0.75 & 11.2408388616445 & 0.229159404716032 \tabularnewline
0.76 & 11.3086637973481 & 0.247777764332978 \tabularnewline
0.77 & 11.3812855691558 & 0.258887191375289 \tabularnewline
0.78 & 11.4563166066297 & 0.260636039425455 \tabularnewline
0.79 & 11.5308899037762 & 0.252022270062193 \tabularnewline
0.8 & 11.6019849910604 & 0.233286148348604 \tabularnewline
0.81 & 11.6668511694714 & 0.206126053911433 \tabularnewline
0.82 & 11.7234588912336 & 0.173615787144743 \tabularnewline
0.83 & 11.7708560935726 & 0.139814727538545 \tabularnewline
0.84 & 11.8092972603361 & 0.108812496142309 \tabularnewline
0.85 & 11.8400834215476 & 0.0837029346038936 \tabularnewline
0.86 & 11.8651829238306 & 0.0660203935803115 \tabularnewline
0.87 & 11.8868204664780 & 0.055680591220879 \tabularnewline
0.88 & 11.9072380793633 & 0.0517586227263312 \tabularnewline
0.89 & 11.9287135525382 & 0.0536446154437536 \tabularnewline
0.9 & 11.9537280652959 & 0.0613718435257498 \tabularnewline
0.91 & 11.9850216666204 & 0.074811637280016 \tabularnewline
0.92 & 12.0252478366885 & 0.092404644446413 \tabularnewline
0.93 & 12.0760495603342 & 0.110299502269821 \tabularnewline
0.94 & 12.136688211729 & 0.122158001899784 \tabularnewline
0.95 & 12.2030381985229 & 0.120940632765008 \tabularnewline
0.96 & 12.2685032778067 & 0.104009853341543 \tabularnewline
0.97 & 12.3279083468797 & 0.0782156674040812 \tabularnewline
0.98 & 12.3839406527130 & 0.0576450665338405 \tabularnewline
0.99 & 12.4498357178832 & 0.0652201704692352 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42306&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]9.2559232556913[/C][C]0.00647101510139223[/C][/ROW]
[ROW][C]0.02[/C][C]9.26236726612462[/C][C]0.00554975712385341[/C][/ROW]
[ROW][C]0.03[/C][C]9.2672090087211[/C][C]0.00548215276379464[/C][/ROW]
[ROW][C]0.04[/C][C]9.27127680683968[/C][C]0.00610769725025104[/C][/ROW]
[ROW][C]0.05[/C][C]9.27531671549147[/C][C]0.0076625584841408[/C][/ROW]
[ROW][C]0.06[/C][C]9.2797007388679[/C][C]0.0090553904464702[/C][/ROW]
[ROW][C]0.07[/C][C]9.28438690534493[/C][C]0.00993570917982692[/C][/ROW]
[ROW][C]0.08[/C][C]9.2892063796645[/C][C]0.0106264739127439[/C][/ROW]
[ROW][C]0.09[/C][C]9.29408835874107[/C][C]0.0114281549922038[/C][/ROW]
[ROW][C]0.1[/C][C]9.29904257229737[/C][C]0.0122645370598426[/C][/ROW]
[ROW][C]0.11[/C][C]9.304061863696[/C][C]0.0128911909738531[/C][/ROW]
[ROW][C]0.12[/C][C]9.30908659362666[/C][C]0.0132244626185484[/C][/ROW]
[ROW][C]0.13[/C][C]9.31403410799971[/C][C]0.0133049782491074[/C][/ROW]
[ROW][C]0.14[/C][C]9.31884149560199[/C][C]0.0132415169049028[/C][/ROW]
[ROW][C]0.15[/C][C]9.323493292895[/C][C]0.0131822673793501[/C][/ROW]
[ROW][C]0.16[/C][C]9.32803650805194[/C][C]0.0133557019735105[/C][/ROW]
[ROW][C]0.17[/C][C]9.3325925996766[/C][C]0.0140635433953848[/C][/ROW]
[ROW][C]0.18[/C][C]9.3373706439678[/C][C]0.0156651898997426[/C][/ROW]
[ROW][C]0.19[/C][C]9.34268082845789[/C][C]0.0185978609248777[/C][/ROW]
[ROW][C]0.2[/C][C]9.34894260309094[/C][C]0.0233189145119874[/C][/ROW]
[ROW][C]0.21[/C][C]9.35667526226578[/C][C]0.0301996832941905[/C][/ROW]
[ROW][C]0.22[/C][C]9.36645536811565[/C][C]0.0393676055788593[/C][/ROW]
[ROW][C]0.23[/C][C]9.37883250765478[/C][C]0.0504846129504617[/C][/ROW]
[ROW][C]0.24[/C][C]9.39421303556811[/C][C]0.0627692318576778[/C][/ROW]
[ROW][C]0.25[/C][C]9.41274234721206[/C][C]0.0749879113195483[/C][/ROW]
[ROW][C]0.26[/C][C]9.43422781225243[/C][C]0.0857782151533388[/C][/ROW]
[ROW][C]0.27[/C][C]9.4581385949536[/C][C]0.093930074074965[/C][/ROW]
[ROW][C]0.28[/C][C]9.48369562518714[/C][C]0.0987024724764033[/C][/ROW]
[ROW][C]0.29[/C][C]9.51003390027152[/C][C]0.100180714004892[/C][/ROW]
[ROW][C]0.3[/C][C]9.53639313621443[/C][C]0.0990973230852407[/C][/ROW]
[ROW][C]0.31[/C][C]9.56228242915643[/C][C]0.0968732557161936[/C][/ROW]
[ROW][C]0.32[/C][C]9.58757378643464[/C][C]0.0950734333691055[/C][/ROW]
[ROW][C]0.33[/C][C]9.61250352737404[/C][C]0.095150337834993[/C][/ROW]
[ROW][C]0.34[/C][C]9.63758945470778[/C][C]0.098032746685839[/C][/ROW]
[ROW][C]0.35[/C][C]9.66349460099308[/C][C]0.103903315810960[/C][/ROW]
[ROW][C]0.36[/C][C]9.69087841921536[/C][C]0.112331003011346[/C][/ROW]
[ROW][C]0.37[/C][C]9.72027261626644[/C][C]0.122408753191905[/C][/ROW]
[ROW][C]0.38[/C][C]9.75200560773033[/C][C]0.133191110809038[/C][/ROW]
[ROW][C]0.39[/C][C]9.7861832556615[/C][C]0.143777772868057[/C][/ROW]
[ROW][C]0.4[/C][C]9.82271969742095[/C][C]0.153519526717022[/C][/ROW]
[ROW][C]0.41[/C][C]9.86140334006054[/C][C]0.162070194754738[/C][/ROW]
[ROW][C]0.42[/C][C]9.90197914735222[/C][C]0.169493688272700[/C][/ROW]
[ROW][C]0.43[/C][C]9.94422741381964[/C][C]0.176073186532904[/C][/ROW]
[ROW][C]0.44[/C][C]9.98802011878366[/C][C]0.182407224009488[/C][/ROW]
[ROW][C]0.45[/C][C]10.0333391896969[/C][C]0.189001859466967[/C][/ROW]
[ROW][C]0.46[/C][C]10.0802481738319[/C][C]0.196116716066413[/C][/ROW]
[ROW][C]0.47[/C][C]10.1288206777191[/C][C]0.203686659934163[/C][/ROW]
[ROW][C]0.48[/C][C]10.1790435006788[/C][C]0.211058921706909[/C][/ROW]
[ROW][C]0.49[/C][C]10.2307245913973[/C][C]0.217175317444230[/C][/ROW]
[ROW][C]0.5[/C][C]10.2834395453895[/C][C]0.220884663834437[/C][/ROW]
[ROW][C]0.51[/C][C]10.3365413417581[/C][C]0.221205268372436[/C][/ROW]
[ROW][C]0.52[/C][C]10.389237682975[/C][C]0.217704730264115[/C][/ROW]
[ROW][C]0.53[/C][C]10.4407158051294[/C][C]0.210571121221807[/C][/ROW]
[ROW][C]0.54[/C][C]10.4902762407716[/C][C]0.200657947912476[/C][/ROW]
[ROW][C]0.55[/C][C]10.5374331976600[/C][C]0.189145981143591[/C][/ROW]
[ROW][C]0.56[/C][C]10.5819521231292[/C][C]0.177263131680194[/C][/ROW]
[ROW][C]0.57[/C][C]10.6238191339965[/C][C]0.165903353409388[/C][/ROW]
[ROW][C]0.58[/C][C]10.66316175362[/C][C]0.155470948964271[/C][/ROW]
[ROW][C]0.59[/C][C]10.7001554757987[/C][C]0.145915545105090[/C][/ROW]
[ROW][C]0.6[/C][C]10.7349508676081[/C][C]0.136926531978367[/C][/ROW]
[ROW][C]0.61[/C][C]10.7676431427384[/C][C]0.128139692210560[/C][/ROW]
[ROW][C]0.62[/C][C]10.7982876941571[/C][C]0.119416119375263[/C][/ROW]
[ROW][C]0.63[/C][C]10.8269495620282[/C][C]0.110861663955418[/C][/ROW]
[ROW][C]0.64[/C][C]10.8537679241610[/C][C]0.102929980617152[/C][/ROW]
[ROW][C]0.65[/C][C]10.8790189675526[/C][C]0.096261023398906[/C][/ROW]
[ROW][C]0.66[/C][C]10.9031677442435[/C][C]0.09168568671513[/C][/ROW]
[ROW][C]0.67[/C][C]10.9269056084616[/C][C]0.090162748385645[/C][/ROW]
[ROW][C]0.68[/C][C]10.9511699744666[/C][C]0.0926244337221605[/C][/ROW]
[ROW][C]0.69[/C][C]10.9771374020422[/C][C]0.100049568334396[/C][/ROW]
[ROW][C]0.7[/C][C]11.0061745299306[/C][C]0.112915905885960[/C][/ROW]
[ROW][C]0.71[/C][C]11.0397316705396[/C][C]0.131177772343670[/C][/ROW]
[ROW][C]0.72[/C][C]11.0791757324853[/C][C]0.153940186039135[/C][/ROW]
[ROW][C]0.73[/C][C]11.1255800135974[/C][C]0.179488862614293[/C][/ROW]
[ROW][C]0.74[/C][C]11.1795083586490[/C][C]0.205481441497940[/C][/ROW]
[ROW][C]0.75[/C][C]11.2408388616445[/C][C]0.229159404716032[/C][/ROW]
[ROW][C]0.76[/C][C]11.3086637973481[/C][C]0.247777764332978[/C][/ROW]
[ROW][C]0.77[/C][C]11.3812855691558[/C][C]0.258887191375289[/C][/ROW]
[ROW][C]0.78[/C][C]11.4563166066297[/C][C]0.260636039425455[/C][/ROW]
[ROW][C]0.79[/C][C]11.5308899037762[/C][C]0.252022270062193[/C][/ROW]
[ROW][C]0.8[/C][C]11.6019849910604[/C][C]0.233286148348604[/C][/ROW]
[ROW][C]0.81[/C][C]11.6668511694714[/C][C]0.206126053911433[/C][/ROW]
[ROW][C]0.82[/C][C]11.7234588912336[/C][C]0.173615787144743[/C][/ROW]
[ROW][C]0.83[/C][C]11.7708560935726[/C][C]0.139814727538545[/C][/ROW]
[ROW][C]0.84[/C][C]11.8092972603361[/C][C]0.108812496142309[/C][/ROW]
[ROW][C]0.85[/C][C]11.8400834215476[/C][C]0.0837029346038936[/C][/ROW]
[ROW][C]0.86[/C][C]11.8651829238306[/C][C]0.0660203935803115[/C][/ROW]
[ROW][C]0.87[/C][C]11.8868204664780[/C][C]0.055680591220879[/C][/ROW]
[ROW][C]0.88[/C][C]11.9072380793633[/C][C]0.0517586227263312[/C][/ROW]
[ROW][C]0.89[/C][C]11.9287135525382[/C][C]0.0536446154437536[/C][/ROW]
[ROW][C]0.9[/C][C]11.9537280652959[/C][C]0.0613718435257498[/C][/ROW]
[ROW][C]0.91[/C][C]11.9850216666204[/C][C]0.074811637280016[/C][/ROW]
[ROW][C]0.92[/C][C]12.0252478366885[/C][C]0.092404644446413[/C][/ROW]
[ROW][C]0.93[/C][C]12.0760495603342[/C][C]0.110299502269821[/C][/ROW]
[ROW][C]0.94[/C][C]12.136688211729[/C][C]0.122158001899784[/C][/ROW]
[ROW][C]0.95[/C][C]12.2030381985229[/C][C]0.120940632765008[/C][/ROW]
[ROW][C]0.96[/C][C]12.2685032778067[/C][C]0.104009853341543[/C][/ROW]
[ROW][C]0.97[/C][C]12.3279083468797[/C][C]0.0782156674040812[/C][/ROW]
[ROW][C]0.98[/C][C]12.3839406527130[/C][C]0.0576450665338405[/C][/ROW]
[ROW][C]0.99[/C][C]12.4498357178832[/C][C]0.0652201704692352[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42306&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42306&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
0.019.25592325569130.00647101510139223
0.029.262367266124620.00554975712385341
0.039.26720900872110.00548215276379464
0.049.271276806839680.00610769725025104
0.059.275316715491470.0076625584841408
0.069.27970073886790.0090553904464702
0.079.284386905344930.00993570917982692
0.089.28920637966450.0106264739127439
0.099.294088358741070.0114281549922038
0.19.299042572297370.0122645370598426
0.119.3040618636960.0128911909738531
0.129.309086593626660.0132244626185484
0.139.314034107999710.0133049782491074
0.149.318841495601990.0132415169049028
0.159.3234932928950.0131822673793501
0.169.328036508051940.0133557019735105
0.179.33259259967660.0140635433953848
0.189.33737064396780.0156651898997426
0.199.342680828457890.0185978609248777
0.29.348942603090940.0233189145119874
0.219.356675262265780.0301996832941905
0.229.366455368115650.0393676055788593
0.239.378832507654780.0504846129504617
0.249.394213035568110.0627692318576778
0.259.412742347212060.0749879113195483
0.269.434227812252430.0857782151533388
0.279.45813859495360.093930074074965
0.289.483695625187140.0987024724764033
0.299.510033900271520.100180714004892
0.39.536393136214430.0990973230852407
0.319.562282429156430.0968732557161936
0.329.587573786434640.0950734333691055
0.339.612503527374040.095150337834993
0.349.637589454707780.098032746685839
0.359.663494600993080.103903315810960
0.369.690878419215360.112331003011346
0.379.720272616266440.122408753191905
0.389.752005607730330.133191110809038
0.399.78618325566150.143777772868057
0.49.822719697420950.153519526717022
0.419.861403340060540.162070194754738
0.429.901979147352220.169493688272700
0.439.944227413819640.176073186532904
0.449.988020118783660.182407224009488
0.4510.03333918969690.189001859466967
0.4610.08024817383190.196116716066413
0.4710.12882067771910.203686659934163
0.4810.17904350067880.211058921706909
0.4910.23072459139730.217175317444230
0.510.28343954538950.220884663834437
0.5110.33654134175810.221205268372436
0.5210.3892376829750.217704730264115
0.5310.44071580512940.210571121221807
0.5410.49027624077160.200657947912476
0.5510.53743319766000.189145981143591
0.5610.58195212312920.177263131680194
0.5710.62381913399650.165903353409388
0.5810.663161753620.155470948964271
0.5910.70015547579870.145915545105090
0.610.73495086760810.136926531978367
0.6110.76764314273840.128139692210560
0.6210.79828769415710.119416119375263
0.6310.82694956202820.110861663955418
0.6410.85376792416100.102929980617152
0.6510.87901896755260.096261023398906
0.6610.90316774424350.09168568671513
0.6710.92690560846160.090162748385645
0.6810.95116997446660.0926244337221605
0.6910.97713740204220.100049568334396
0.711.00617452993060.112915905885960
0.7111.03973167053960.131177772343670
0.7211.07917573248530.153940186039135
0.7311.12558001359740.179488862614293
0.7411.17950835864900.205481441497940
0.7511.24083886164450.229159404716032
0.7611.30866379734810.247777764332978
0.7711.38128556915580.258887191375289
0.7811.45631660662970.260636039425455
0.7911.53088990377620.252022270062193
0.811.60198499106040.233286148348604
0.8111.66685116947140.206126053911433
0.8211.72345889123360.173615787144743
0.8311.77085609357260.139814727538545
0.8411.80929726033610.108812496142309
0.8511.84008342154760.0837029346038936
0.8611.86518292383060.0660203935803115
0.8711.88682046647800.055680591220879
0.8811.90723807936330.0517586227263312
0.8911.92871355253820.0536446154437536
0.911.95372806529590.0613718435257498
0.9111.98502166662040.074811637280016
0.9212.02524783668850.092404644446413
0.9312.07604956033420.110299502269821
0.9412.1366882117290.122158001899784
0.9512.20303819852290.120940632765008
0.9612.26850327780670.104009853341543
0.9712.32790834687970.0782156674040812
0.9812.38394065271300.0576450665338405
0.9912.44983571788320.0652201704692352


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')