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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 computationMon, 11 Oct 2010 14:50:55 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/11/t1286808763yzvf6a88kco6uy2.htm/, Retrieved Sun, 01 Oct 2023 15:33:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=82526, Retrieved Sun, 01 Oct 2023 15:33:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact96

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2010-02-22 20:36:32] [2fbaf5ccc70c33c9f381ff70d4cbb0a5]
- RMP   [Notched Boxplots] [] [2010-03-01 18:13:27] [2fbaf5ccc70c33c9f381ff70d4cbb0a5]
- RMPD      [Harrell-Davis Quantiles] [Opgave 4; Oefenin...] [2010-10-11 14:50:55] [516d1a4ad1f0b8513272cbee80fe4619] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13,81
13,9
13,91
13,94
13,96
14,01
14,01
14,06
14,09
14,13
14,12
14,13
14,14
14,16
14,21
14,26
14,29
14,32
14,33
14,39
14,48
14,44
14,46
14,48
14,53
14,58
14,62
14,62
14,61
14,65
14,68
14,7
14,78
14,84
14,89
14,89
15,13
15,25
15,33
15,36
15,4
15,4
15,41
15,47
15,54
15,55
15,59
15,65
15,75
15,86
15,89
15,94
15,93
15,95
15,99
15,99
16,06
16,08
16,07
16,11
16,15
16,18
16,3
16,42
16,49
16,5
16,58
16,64
16,66
16,81
16,91
16,92
16,95
17,11
17,16
17,16
17,27
17,34
17,39
17,43
17,45
17,5
17,56
17,65

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=82526&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=82526&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82526&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
0.0113.83956448442440.0674105162886874
0.0213.87770256884270.0463932047572774
0.0313.91002464732830.0402841094515183
0.0413.93624160127790.0443742315271763
0.0513.95998058708140.050505594050568
0.0613.98330072547900.0555996962254564
0.0714.00657735340150.0589879418303704
0.0814.02950660639250.0606776717172451
0.0914.05170319920580.0609517861938702
0.114.07293497198170.0604684812338474
0.1114.09321172778880.0602513473732651
0.1214.11280244987350.0614500644564854
0.1314.13218274083270.0648670785395972
0.1414.15192156263270.070542799249531
0.1514.1725437288610.0778780641951996
0.1614.19441488633780.0858866987514569
0.1714.21768211790910.0936298330459301
0.1814.24227748061050.100387740113489
0.1914.26796904243950.1057464937975
0.214.29443334808940.109605941324352
0.2114.32132521751950.112047213900602
0.2214.34833022731520.113318493049545
0.2314.37519584773170.113675343603716
0.2414.40174474937740.113429098804970
0.2514.42787699053710.112875158713163
0.2614.45356758289200.112294812888321
0.2714.47886399575370.112031899351547
0.2814.50388582731920.112414319082194
0.2914.52882676014780.113821401253760
0.314.55395715765360.11665917290905
0.3114.57962430070730.121381388861941
0.3214.60624650893610.128418386809620
0.3314.63429753929130.138045825047673
0.3414.66427889564350.150381001546928
0.3514.69667992341530.165254719621880
0.3614.73192839358740.182182826915779
0.3714.77033708754700.200423429573259
0.3814.81205402874870.218862494580671
0.3914.85702492757290.23642252823291
0.414.9049757695370.251856553671218
0.4114.95542119554170.264054896411073
0.4215.00770060529680.272214221100048
0.4315.06103929506250.275878069662136
0.4415.11462724614420.275058634041927
0.4515.16770440492930.270206419070734
0.4615.21963937005550.262272429223527
0.4715.26998892654800.252391888709307
0.4815.31852889435090.241927533365027
0.4915.36525173642190.232064663555035
0.515.410332265390.223794331238280
0.5115.45406835745780.217640119080635
0.5215.49680770563780.213680893892064
0.5315.53887358070120.211483431606731
0.5415.58050208609960.210336392704407
0.5515.62180075337550.209334515074777
0.5615.66273415860200.207600731028519
0.5715.70313738646130.20445305389319
0.5815.74275351229060.1994730319533
0.5915.78128760741270.192632602724748
0.615.81846767814620.184170140005809
0.6115.85410268219400.174712146944322
0.6215.88812919924340.165024881600191
0.6315.92064096570960.156024109264799
0.6415.95189857351740.148655878668585
0.6515.98231942408900.143710486375680
0.6616.01245001698210.141837553897423
0.6716.0429237687110.143343762382425
0.6816.07440816548380.148244418302730
0.6916.10754572664180.156225961954893
0.716.14289439804020.166553098555423
0.7116.18087448842420.178333170413019
0.7216.22173034479920.190500604194154
0.7316.26551448050680.202007596860689
0.7416.31209887197250.212012120782343
0.7516.36121258204460.219864516419778
0.7616.41249803400460.225391109982934
0.7716.46557256089290.228686638940031
0.7816.52007989939420.230129498874419
0.7916.57571956279160.23016759997429
0.816.63224980084970.22912037173999
0.8116.68946918649760.227162393507381
0.8216.74718882062020.224234893682921
0.8316.80520878963270.220205438487026
0.8416.86330845076770.214970328906850
0.8516.92125242122030.208490754833082
0.8616.97880575698810.200872505670015
0.8717.03574508672180.192258156704956
0.8817.09184961833420.182800160729694
0.8917.14686091110680.172544603506410
0.917.20041859210410.161232171644663
0.9117.25201173339910.148394406741849
0.9217.30101875967630.133542583912724
0.9317.34691113713490.116812580962871
0.9417.38963662436720.0995732753195326
0.9517.43008594896100.0844866812141757
0.9617.47044025762390.0745068567505418
0.9717.51401618101470.0708702129446613
0.9817.56341864286540.0726926541026586
0.9917.61464449333910.0799045667502801

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 13.8395644844244 & 0.0674105162886874 \tabularnewline
0.02 & 13.8777025688427 & 0.0463932047572774 \tabularnewline
0.03 & 13.9100246473283 & 0.0402841094515183 \tabularnewline
0.04 & 13.9362416012779 & 0.0443742315271763 \tabularnewline
0.05 & 13.9599805870814 & 0.050505594050568 \tabularnewline
0.06 & 13.9833007254790 & 0.0555996962254564 \tabularnewline
0.07 & 14.0065773534015 & 0.0589879418303704 \tabularnewline
0.08 & 14.0295066063925 & 0.0606776717172451 \tabularnewline
0.09 & 14.0517031992058 & 0.0609517861938702 \tabularnewline
0.1 & 14.0729349719817 & 0.0604684812338474 \tabularnewline
0.11 & 14.0932117277888 & 0.0602513473732651 \tabularnewline
0.12 & 14.1128024498735 & 0.0614500644564854 \tabularnewline
0.13 & 14.1321827408327 & 0.0648670785395972 \tabularnewline
0.14 & 14.1519215626327 & 0.070542799249531 \tabularnewline
0.15 & 14.172543728861 & 0.0778780641951996 \tabularnewline
0.16 & 14.1944148863378 & 0.0858866987514569 \tabularnewline
0.17 & 14.2176821179091 & 0.0936298330459301 \tabularnewline
0.18 & 14.2422774806105 & 0.100387740113489 \tabularnewline
0.19 & 14.2679690424395 & 0.1057464937975 \tabularnewline
0.2 & 14.2944333480894 & 0.109605941324352 \tabularnewline
0.21 & 14.3213252175195 & 0.112047213900602 \tabularnewline
0.22 & 14.3483302273152 & 0.113318493049545 \tabularnewline
0.23 & 14.3751958477317 & 0.113675343603716 \tabularnewline
0.24 & 14.4017447493774 & 0.113429098804970 \tabularnewline
0.25 & 14.4278769905371 & 0.112875158713163 \tabularnewline
0.26 & 14.4535675828920 & 0.112294812888321 \tabularnewline
0.27 & 14.4788639957537 & 0.112031899351547 \tabularnewline
0.28 & 14.5038858273192 & 0.112414319082194 \tabularnewline
0.29 & 14.5288267601478 & 0.113821401253760 \tabularnewline
0.3 & 14.5539571576536 & 0.11665917290905 \tabularnewline
0.31 & 14.5796243007073 & 0.121381388861941 \tabularnewline
0.32 & 14.6062465089361 & 0.128418386809620 \tabularnewline
0.33 & 14.6342975392913 & 0.138045825047673 \tabularnewline
0.34 & 14.6642788956435 & 0.150381001546928 \tabularnewline
0.35 & 14.6966799234153 & 0.165254719621880 \tabularnewline
0.36 & 14.7319283935874 & 0.182182826915779 \tabularnewline
0.37 & 14.7703370875470 & 0.200423429573259 \tabularnewline
0.38 & 14.8120540287487 & 0.218862494580671 \tabularnewline
0.39 & 14.8570249275729 & 0.23642252823291 \tabularnewline
0.4 & 14.904975769537 & 0.251856553671218 \tabularnewline
0.41 & 14.9554211955417 & 0.264054896411073 \tabularnewline
0.42 & 15.0077006052968 & 0.272214221100048 \tabularnewline
0.43 & 15.0610392950625 & 0.275878069662136 \tabularnewline
0.44 & 15.1146272461442 & 0.275058634041927 \tabularnewline
0.45 & 15.1677044049293 & 0.270206419070734 \tabularnewline
0.46 & 15.2196393700555 & 0.262272429223527 \tabularnewline
0.47 & 15.2699889265480 & 0.252391888709307 \tabularnewline
0.48 & 15.3185288943509 & 0.241927533365027 \tabularnewline
0.49 & 15.3652517364219 & 0.232064663555035 \tabularnewline
0.5 & 15.41033226539 & 0.223794331238280 \tabularnewline
0.51 & 15.4540683574578 & 0.217640119080635 \tabularnewline
0.52 & 15.4968077056378 & 0.213680893892064 \tabularnewline
0.53 & 15.5388735807012 & 0.211483431606731 \tabularnewline
0.54 & 15.5805020860996 & 0.210336392704407 \tabularnewline
0.55 & 15.6218007533755 & 0.209334515074777 \tabularnewline
0.56 & 15.6627341586020 & 0.207600731028519 \tabularnewline
0.57 & 15.7031373864613 & 0.20445305389319 \tabularnewline
0.58 & 15.7427535122906 & 0.1994730319533 \tabularnewline
0.59 & 15.7812876074127 & 0.192632602724748 \tabularnewline
0.6 & 15.8184676781462 & 0.184170140005809 \tabularnewline
0.61 & 15.8541026821940 & 0.174712146944322 \tabularnewline
0.62 & 15.8881291992434 & 0.165024881600191 \tabularnewline
0.63 & 15.9206409657096 & 0.156024109264799 \tabularnewline
0.64 & 15.9518985735174 & 0.148655878668585 \tabularnewline
0.65 & 15.9823194240890 & 0.143710486375680 \tabularnewline
0.66 & 16.0124500169821 & 0.141837553897423 \tabularnewline
0.67 & 16.042923768711 & 0.143343762382425 \tabularnewline
0.68 & 16.0744081654838 & 0.148244418302730 \tabularnewline
0.69 & 16.1075457266418 & 0.156225961954893 \tabularnewline
0.7 & 16.1428943980402 & 0.166553098555423 \tabularnewline
0.71 & 16.1808744884242 & 0.178333170413019 \tabularnewline
0.72 & 16.2217303447992 & 0.190500604194154 \tabularnewline
0.73 & 16.2655144805068 & 0.202007596860689 \tabularnewline
0.74 & 16.3120988719725 & 0.212012120782343 \tabularnewline
0.75 & 16.3612125820446 & 0.219864516419778 \tabularnewline
0.76 & 16.4124980340046 & 0.225391109982934 \tabularnewline
0.77 & 16.4655725608929 & 0.228686638940031 \tabularnewline
0.78 & 16.5200798993942 & 0.230129498874419 \tabularnewline
0.79 & 16.5757195627916 & 0.23016759997429 \tabularnewline
0.8 & 16.6322498008497 & 0.22912037173999 \tabularnewline
0.81 & 16.6894691864976 & 0.227162393507381 \tabularnewline
0.82 & 16.7471888206202 & 0.224234893682921 \tabularnewline
0.83 & 16.8052087896327 & 0.220205438487026 \tabularnewline
0.84 & 16.8633084507677 & 0.214970328906850 \tabularnewline
0.85 & 16.9212524212203 & 0.208490754833082 \tabularnewline
0.86 & 16.9788057569881 & 0.200872505670015 \tabularnewline
0.87 & 17.0357450867218 & 0.192258156704956 \tabularnewline
0.88 & 17.0918496183342 & 0.182800160729694 \tabularnewline
0.89 & 17.1468609111068 & 0.172544603506410 \tabularnewline
0.9 & 17.2004185921041 & 0.161232171644663 \tabularnewline
0.91 & 17.2520117333991 & 0.148394406741849 \tabularnewline
0.92 & 17.3010187596763 & 0.133542583912724 \tabularnewline
0.93 & 17.3469111371349 & 0.116812580962871 \tabularnewline
0.94 & 17.3896366243672 & 0.0995732753195326 \tabularnewline
0.95 & 17.4300859489610 & 0.0844866812141757 \tabularnewline
0.96 & 17.4704402576239 & 0.0745068567505418 \tabularnewline
0.97 & 17.5140161810147 & 0.0708702129446613 \tabularnewline
0.98 & 17.5634186428654 & 0.0726926541026586 \tabularnewline
0.99 & 17.6146444933391 & 0.0799045667502801 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82526&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]13.8395644844244[/C][C]0.0674105162886874[/C][/ROW]
[ROW][C]0.02[/C][C]13.8777025688427[/C][C]0.0463932047572774[/C][/ROW]
[ROW][C]0.03[/C][C]13.9100246473283[/C][C]0.0402841094515183[/C][/ROW]
[ROW][C]0.04[/C][C]13.9362416012779[/C][C]0.0443742315271763[/C][/ROW]
[ROW][C]0.05[/C][C]13.9599805870814[/C][C]0.050505594050568[/C][/ROW]
[ROW][C]0.06[/C][C]13.9833007254790[/C][C]0.0555996962254564[/C][/ROW]
[ROW][C]0.07[/C][C]14.0065773534015[/C][C]0.0589879418303704[/C][/ROW]
[ROW][C]0.08[/C][C]14.0295066063925[/C][C]0.0606776717172451[/C][/ROW]
[ROW][C]0.09[/C][C]14.0517031992058[/C][C]0.0609517861938702[/C][/ROW]
[ROW][C]0.1[/C][C]14.0729349719817[/C][C]0.0604684812338474[/C][/ROW]
[ROW][C]0.11[/C][C]14.0932117277888[/C][C]0.0602513473732651[/C][/ROW]
[ROW][C]0.12[/C][C]14.1128024498735[/C][C]0.0614500644564854[/C][/ROW]
[ROW][C]0.13[/C][C]14.1321827408327[/C][C]0.0648670785395972[/C][/ROW]
[ROW][C]0.14[/C][C]14.1519215626327[/C][C]0.070542799249531[/C][/ROW]
[ROW][C]0.15[/C][C]14.172543728861[/C][C]0.0778780641951996[/C][/ROW]
[ROW][C]0.16[/C][C]14.1944148863378[/C][C]0.0858866987514569[/C][/ROW]
[ROW][C]0.17[/C][C]14.2176821179091[/C][C]0.0936298330459301[/C][/ROW]
[ROW][C]0.18[/C][C]14.2422774806105[/C][C]0.100387740113489[/C][/ROW]
[ROW][C]0.19[/C][C]14.2679690424395[/C][C]0.1057464937975[/C][/ROW]
[ROW][C]0.2[/C][C]14.2944333480894[/C][C]0.109605941324352[/C][/ROW]
[ROW][C]0.21[/C][C]14.3213252175195[/C][C]0.112047213900602[/C][/ROW]
[ROW][C]0.22[/C][C]14.3483302273152[/C][C]0.113318493049545[/C][/ROW]
[ROW][C]0.23[/C][C]14.3751958477317[/C][C]0.113675343603716[/C][/ROW]
[ROW][C]0.24[/C][C]14.4017447493774[/C][C]0.113429098804970[/C][/ROW]
[ROW][C]0.25[/C][C]14.4278769905371[/C][C]0.112875158713163[/C][/ROW]
[ROW][C]0.26[/C][C]14.4535675828920[/C][C]0.112294812888321[/C][/ROW]
[ROW][C]0.27[/C][C]14.4788639957537[/C][C]0.112031899351547[/C][/ROW]
[ROW][C]0.28[/C][C]14.5038858273192[/C][C]0.112414319082194[/C][/ROW]
[ROW][C]0.29[/C][C]14.5288267601478[/C][C]0.113821401253760[/C][/ROW]
[ROW][C]0.3[/C][C]14.5539571576536[/C][C]0.11665917290905[/C][/ROW]
[ROW][C]0.31[/C][C]14.5796243007073[/C][C]0.121381388861941[/C][/ROW]
[ROW][C]0.32[/C][C]14.6062465089361[/C][C]0.128418386809620[/C][/ROW]
[ROW][C]0.33[/C][C]14.6342975392913[/C][C]0.138045825047673[/C][/ROW]
[ROW][C]0.34[/C][C]14.6642788956435[/C][C]0.150381001546928[/C][/ROW]
[ROW][C]0.35[/C][C]14.6966799234153[/C][C]0.165254719621880[/C][/ROW]
[ROW][C]0.36[/C][C]14.7319283935874[/C][C]0.182182826915779[/C][/ROW]
[ROW][C]0.37[/C][C]14.7703370875470[/C][C]0.200423429573259[/C][/ROW]
[ROW][C]0.38[/C][C]14.8120540287487[/C][C]0.218862494580671[/C][/ROW]
[ROW][C]0.39[/C][C]14.8570249275729[/C][C]0.23642252823291[/C][/ROW]
[ROW][C]0.4[/C][C]14.904975769537[/C][C]0.251856553671218[/C][/ROW]
[ROW][C]0.41[/C][C]14.9554211955417[/C][C]0.264054896411073[/C][/ROW]
[ROW][C]0.42[/C][C]15.0077006052968[/C][C]0.272214221100048[/C][/ROW]
[ROW][C]0.43[/C][C]15.0610392950625[/C][C]0.275878069662136[/C][/ROW]
[ROW][C]0.44[/C][C]15.1146272461442[/C][C]0.275058634041927[/C][/ROW]
[ROW][C]0.45[/C][C]15.1677044049293[/C][C]0.270206419070734[/C][/ROW]
[ROW][C]0.46[/C][C]15.2196393700555[/C][C]0.262272429223527[/C][/ROW]
[ROW][C]0.47[/C][C]15.2699889265480[/C][C]0.252391888709307[/C][/ROW]
[ROW][C]0.48[/C][C]15.3185288943509[/C][C]0.241927533365027[/C][/ROW]
[ROW][C]0.49[/C][C]15.3652517364219[/C][C]0.232064663555035[/C][/ROW]
[ROW][C]0.5[/C][C]15.41033226539[/C][C]0.223794331238280[/C][/ROW]
[ROW][C]0.51[/C][C]15.4540683574578[/C][C]0.217640119080635[/C][/ROW]
[ROW][C]0.52[/C][C]15.4968077056378[/C][C]0.213680893892064[/C][/ROW]
[ROW][C]0.53[/C][C]15.5388735807012[/C][C]0.211483431606731[/C][/ROW]
[ROW][C]0.54[/C][C]15.5805020860996[/C][C]0.210336392704407[/C][/ROW]
[ROW][C]0.55[/C][C]15.6218007533755[/C][C]0.209334515074777[/C][/ROW]
[ROW][C]0.56[/C][C]15.6627341586020[/C][C]0.207600731028519[/C][/ROW]
[ROW][C]0.57[/C][C]15.7031373864613[/C][C]0.20445305389319[/C][/ROW]
[ROW][C]0.58[/C][C]15.7427535122906[/C][C]0.1994730319533[/C][/ROW]
[ROW][C]0.59[/C][C]15.7812876074127[/C][C]0.192632602724748[/C][/ROW]
[ROW][C]0.6[/C][C]15.8184676781462[/C][C]0.184170140005809[/C][/ROW]
[ROW][C]0.61[/C][C]15.8541026821940[/C][C]0.174712146944322[/C][/ROW]
[ROW][C]0.62[/C][C]15.8881291992434[/C][C]0.165024881600191[/C][/ROW]
[ROW][C]0.63[/C][C]15.9206409657096[/C][C]0.156024109264799[/C][/ROW]
[ROW][C]0.64[/C][C]15.9518985735174[/C][C]0.148655878668585[/C][/ROW]
[ROW][C]0.65[/C][C]15.9823194240890[/C][C]0.143710486375680[/C][/ROW]
[ROW][C]0.66[/C][C]16.0124500169821[/C][C]0.141837553897423[/C][/ROW]
[ROW][C]0.67[/C][C]16.042923768711[/C][C]0.143343762382425[/C][/ROW]
[ROW][C]0.68[/C][C]16.0744081654838[/C][C]0.148244418302730[/C][/ROW]
[ROW][C]0.69[/C][C]16.1075457266418[/C][C]0.156225961954893[/C][/ROW]
[ROW][C]0.7[/C][C]16.1428943980402[/C][C]0.166553098555423[/C][/ROW]
[ROW][C]0.71[/C][C]16.1808744884242[/C][C]0.178333170413019[/C][/ROW]
[ROW][C]0.72[/C][C]16.2217303447992[/C][C]0.190500604194154[/C][/ROW]
[ROW][C]0.73[/C][C]16.2655144805068[/C][C]0.202007596860689[/C][/ROW]
[ROW][C]0.74[/C][C]16.3120988719725[/C][C]0.212012120782343[/C][/ROW]
[ROW][C]0.75[/C][C]16.3612125820446[/C][C]0.219864516419778[/C][/ROW]
[ROW][C]0.76[/C][C]16.4124980340046[/C][C]0.225391109982934[/C][/ROW]
[ROW][C]0.77[/C][C]16.4655725608929[/C][C]0.228686638940031[/C][/ROW]
[ROW][C]0.78[/C][C]16.5200798993942[/C][C]0.230129498874419[/C][/ROW]
[ROW][C]0.79[/C][C]16.5757195627916[/C][C]0.23016759997429[/C][/ROW]
[ROW][C]0.8[/C][C]16.6322498008497[/C][C]0.22912037173999[/C][/ROW]
[ROW][C]0.81[/C][C]16.6894691864976[/C][C]0.227162393507381[/C][/ROW]
[ROW][C]0.82[/C][C]16.7471888206202[/C][C]0.224234893682921[/C][/ROW]
[ROW][C]0.83[/C][C]16.8052087896327[/C][C]0.220205438487026[/C][/ROW]
[ROW][C]0.84[/C][C]16.8633084507677[/C][C]0.214970328906850[/C][/ROW]
[ROW][C]0.85[/C][C]16.9212524212203[/C][C]0.208490754833082[/C][/ROW]
[ROW][C]0.86[/C][C]16.9788057569881[/C][C]0.200872505670015[/C][/ROW]
[ROW][C]0.87[/C][C]17.0357450867218[/C][C]0.192258156704956[/C][/ROW]
[ROW][C]0.88[/C][C]17.0918496183342[/C][C]0.182800160729694[/C][/ROW]
[ROW][C]0.89[/C][C]17.1468609111068[/C][C]0.172544603506410[/C][/ROW]
[ROW][C]0.9[/C][C]17.2004185921041[/C][C]0.161232171644663[/C][/ROW]
[ROW][C]0.91[/C][C]17.2520117333991[/C][C]0.148394406741849[/C][/ROW]
[ROW][C]0.92[/C][C]17.3010187596763[/C][C]0.133542583912724[/C][/ROW]
[ROW][C]0.93[/C][C]17.3469111371349[/C][C]0.116812580962871[/C][/ROW]
[ROW][C]0.94[/C][C]17.3896366243672[/C][C]0.0995732753195326[/C][/ROW]
[ROW][C]0.95[/C][C]17.4300859489610[/C][C]0.0844866812141757[/C][/ROW]
[ROW][C]0.96[/C][C]17.4704402576239[/C][C]0.0745068567505418[/C][/ROW]
[ROW][C]0.97[/C][C]17.5140161810147[/C][C]0.0708702129446613[/C][/ROW]
[ROW][C]0.98[/C][C]17.5634186428654[/C][C]0.0726926541026586[/C][/ROW]
[ROW][C]0.99[/C][C]17.6146444933391[/C][C]0.0799045667502801[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82526&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82526&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
0.0113.83956448442440.0674105162886874
0.0213.87770256884270.0463932047572774
0.0313.91002464732830.0402841094515183
0.0413.93624160127790.0443742315271763
0.0513.95998058708140.050505594050568
0.0613.98330072547900.0555996962254564
0.0714.00657735340150.0589879418303704
0.0814.02950660639250.0606776717172451
0.0914.05170319920580.0609517861938702
0.114.07293497198170.0604684812338474
0.1114.09321172778880.0602513473732651
0.1214.11280244987350.0614500644564854
0.1314.13218274083270.0648670785395972
0.1414.15192156263270.070542799249531
0.1514.1725437288610.0778780641951996
0.1614.19441488633780.0858866987514569
0.1714.21768211790910.0936298330459301
0.1814.24227748061050.100387740113489
0.1914.26796904243950.1057464937975
0.214.29443334808940.109605941324352
0.2114.32132521751950.112047213900602
0.2214.34833022731520.113318493049545
0.2314.37519584773170.113675343603716
0.2414.40174474937740.113429098804970
0.2514.42787699053710.112875158713163
0.2614.45356758289200.112294812888321
0.2714.47886399575370.112031899351547
0.2814.50388582731920.112414319082194
0.2914.52882676014780.113821401253760
0.314.55395715765360.11665917290905
0.3114.57962430070730.121381388861941
0.3214.60624650893610.128418386809620
0.3314.63429753929130.138045825047673
0.3414.66427889564350.150381001546928
0.3514.69667992341530.165254719621880
0.3614.73192839358740.182182826915779
0.3714.77033708754700.200423429573259
0.3814.81205402874870.218862494580671
0.3914.85702492757290.23642252823291
0.414.9049757695370.251856553671218
0.4114.95542119554170.264054896411073
0.4215.00770060529680.272214221100048
0.4315.06103929506250.275878069662136
0.4415.11462724614420.275058634041927
0.4515.16770440492930.270206419070734
0.4615.21963937005550.262272429223527
0.4715.26998892654800.252391888709307
0.4815.31852889435090.241927533365027
0.4915.36525173642190.232064663555035
0.515.410332265390.223794331238280
0.5115.45406835745780.217640119080635
0.5215.49680770563780.213680893892064
0.5315.53887358070120.211483431606731
0.5415.58050208609960.210336392704407
0.5515.62180075337550.209334515074777
0.5615.66273415860200.207600731028519
0.5715.70313738646130.20445305389319
0.5815.74275351229060.1994730319533
0.5915.78128760741270.192632602724748
0.615.81846767814620.184170140005809
0.6115.85410268219400.174712146944322
0.6215.88812919924340.165024881600191
0.6315.92064096570960.156024109264799
0.6415.95189857351740.148655878668585
0.6515.98231942408900.143710486375680
0.6616.01245001698210.141837553897423
0.6716.0429237687110.143343762382425
0.6816.07440816548380.148244418302730
0.6916.10754572664180.156225961954893
0.716.14289439804020.166553098555423
0.7116.18087448842420.178333170413019
0.7216.22173034479920.190500604194154
0.7316.26551448050680.202007596860689
0.7416.31209887197250.212012120782343
0.7516.36121258204460.219864516419778
0.7616.41249803400460.225391109982934
0.7716.46557256089290.228686638940031
0.7816.52007989939420.230129498874419
0.7916.57571956279160.23016759997429
0.816.63224980084970.22912037173999
0.8116.68946918649760.227162393507381
0.8216.74718882062020.224234893682921
0.8316.80520878963270.220205438487026
0.8416.86330845076770.214970328906850
0.8516.92125242122030.208490754833082
0.8616.97880575698810.200872505670015
0.8717.03574508672180.192258156704956
0.8817.09184961833420.182800160729694
0.8917.14686091110680.172544603506410
0.917.20041859210410.161232171644663
0.9117.25201173339910.148394406741849
0.9217.30101875967630.133542583912724
0.9317.34691113713490.116812580962871
0.9417.38963662436720.0995732753195326
0.9517.43008594896100.0844866812141757
0.9617.47044025762390.0745068567505418
0.9717.51401618101470.0708702129446613
0.9817.56341864286540.0726926541026586
0.9917.61464449333910.0799045667502801


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')