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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 computationFri, 14 Dec 2007 07:13:45 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/14/t1197640669646eflx5eq6b3cx.htm/, Retrieved Fri, 03 May 2024 02:42:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3897, Retrieved Fri, 03 May 2024 02:42:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact200

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] [] [2007-12-14 14:13:45] [a1fadf46580e43815db2830b4560d35f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
96,67
96,67
96,67
96,67
96,67
96,67
96,67
97,59
97,59
97,59
97,06
97,06
97,06
97,06
97,06
97,36
97,43
97,43
97,43
97,43
97,43
97,08
97,08
97,08
97,08
97,55
97,55
97,55
97,55
101,47
101,47
101,47
101,47
100,9
100,9
100,9
102,31
102,31
102,31
102,31
102,31
102,64
102,64
102,64
102,64
101,94
101,94
101,94
102,34
102,34
102,34
102,34
102,34
102,34
102,34
102,34
102,34
102,45
102,45
102,45
102,5
102,45
102,45
102,45
102,45
102,45
102,45
102,45
102,45
104,77
104,77
104,77

Tables (Output of Computation)





Summary of compuational 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 compuational 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=3897&T=0

[TABLE]
[ROW][C]Summary of compuational 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=3897&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3897&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 compuational 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
0.0196.67010980720330.00053327408757931
0.0296.6707570425640.00314250801609236
0.0396.67298247393030.0105702542359470
0.0496.6785787686270.0256733382163182
0.0596.68984980818950.0497424830199852
0.0696.7089464173150.080813720028135
0.0796.73702143629690.113811299370202
0.0896.77361352464560.141931742395666
0.0996.81658427435640.159505176438066
0.196.86265504117240.163735637898977
0.1196.90830420322240.155588987413361
0.1296.95065602570110.139000840880720
0.1396.98805773540690.119345038597421
0.1497.02022298106130.102049365050293
0.1597.04800098615580.0913920254390746
0.1697.07293327560990.0895008474242592
0.1797.09677081025990.0958129451830707
0.1897.12107621209580.107691165760085
0.1997.14697145548420.122011807026312
0.297.1750397772140.136202414303885
0.2197.20536059384710.148426258714804
0.2297.23764383279940.157605966119036
0.2397.2714275858190.163556518924890
0.2497.30630480299820.167494172363155
0.2597.3421484581420.171792675839747
0.2697.37930948263510.179822406065530
0.2797.41876708562270.196109798880852
0.2897.46221578521680.225552852188239
0.2997.51207678224290.272369521812122
0.397.57142357015880.339726504022424
0.3197.64381462829170.42898055564043
0.3297.73303210990830.5401381992656
0.3397.84273637015950.670903780677721
0.3497.97606175617190.816868103791033
0.3598.13519648382690.97127744437143
0.3698.3210037346051.12561544464103
0.3798.5327468170371.27005583048767
0.3898.76797427181941.39462950601648
0.3999.0226002523941.49059300744203
0.499.29118444024211.55129781564513
0.4199.5673806405851.57318939792913
0.4299.84449222855221.55615127569207
0.43100.1160532860751.50324604827132
0.44100.3763512220251.42059639885937
0.45100.6208203626151.31581810217947
0.46100.8462627101061.19745444991594
0.47101.0508851070881.07373187560287
0.48101.2341737484530.951712530034895
0.49101.3966507923730.836474818939288
0.5101.5395698091450.731365249824004
0.51101.6646062958190.637657073979999
0.52101.7735887054170.555196581574212
0.53101.8682984913540.482849178115255
0.54101.9503491978880.418994727383309
0.55102.0211386443830.362023903932163
0.56102.0818573480460.310676326728627
0.57102.1335314252450.26408426799645
0.58102.1770787422220.221852076706795
0.59102.2133614919670.183838846976536
0.6102.2432246855140.150155553174903
0.61102.2675164138970.120937757146227
0.62102.2870908048460.0962461262695443
0.63102.3027976768760.076141677935854
0.64102.3154639499560.0604435343776601
0.65102.3258713779930.0490193924996563
0.66102.3347338649370.0415963305108967
0.67102.3426762703910.0376882196737135
0.68102.3502157585040.0367146100710193
0.69102.3577466171180.0377749088476369
0.7102.3655299319950.0399721684300096
0.71102.3736901264220.0424055532334635
0.72102.3822206487460.0444444269886911
0.73102.3910005990590.0454506341356459
0.74102.3998227164810.0451579454644521
0.75102.4084311687970.0433891516810208
0.76102.4165655896860.0402046414131998
0.77102.4240065039860.0359093060464382
0.78102.4306171883970.0309947381507236
0.79102.4363781753730.0259324490724449
0.8102.4414124490460.0214750005759562
0.81102.4460008751630.0182711478939897
0.82102.4505876232960.0173129543348873
0.83102.4557744385320.0194248519791315
0.84102.4623031404200.0249296517937227
0.85102.4710336883770.0335559806630535
0.86102.4829496913730.0450124613519875
0.87102.4992721720610.0589822245379489
0.88102.5218297239110.076010608520928
0.89102.5538757917880.099110094244949
0.9102.6014548617940.136866450597934
0.91102.6750341373260.204586275933436
0.92102.7903261324020.319411477131219
0.93102.9662664332320.488615114062277
0.94103.2179258027210.693293019023605
0.95103.5442986359520.874079246887451
0.96103.9162299561280.939027774878357
0.97104.2755355920570.812824214801509
0.98104.5551759988880.514051222901334
0.99104.7154880695800.185912834354929

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 96.6701098072033 & 0.00053327408757931 \tabularnewline
0.02 & 96.670757042564 & 0.00314250801609236 \tabularnewline
0.03 & 96.6729824739303 & 0.0105702542359470 \tabularnewline
0.04 & 96.678578768627 & 0.0256733382163182 \tabularnewline
0.05 & 96.6898498081895 & 0.0497424830199852 \tabularnewline
0.06 & 96.708946417315 & 0.080813720028135 \tabularnewline
0.07 & 96.7370214362969 & 0.113811299370202 \tabularnewline
0.08 & 96.7736135246456 & 0.141931742395666 \tabularnewline
0.09 & 96.8165842743564 & 0.159505176438066 \tabularnewline
0.1 & 96.8626550411724 & 0.163735637898977 \tabularnewline
0.11 & 96.9083042032224 & 0.155588987413361 \tabularnewline
0.12 & 96.9506560257011 & 0.139000840880720 \tabularnewline
0.13 & 96.9880577354069 & 0.119345038597421 \tabularnewline
0.14 & 97.0202229810613 & 0.102049365050293 \tabularnewline
0.15 & 97.0480009861558 & 0.0913920254390746 \tabularnewline
0.16 & 97.0729332756099 & 0.0895008474242592 \tabularnewline
0.17 & 97.0967708102599 & 0.0958129451830707 \tabularnewline
0.18 & 97.1210762120958 & 0.107691165760085 \tabularnewline
0.19 & 97.1469714554842 & 0.122011807026312 \tabularnewline
0.2 & 97.175039777214 & 0.136202414303885 \tabularnewline
0.21 & 97.2053605938471 & 0.148426258714804 \tabularnewline
0.22 & 97.2376438327994 & 0.157605966119036 \tabularnewline
0.23 & 97.271427585819 & 0.163556518924890 \tabularnewline
0.24 & 97.3063048029982 & 0.167494172363155 \tabularnewline
0.25 & 97.342148458142 & 0.171792675839747 \tabularnewline
0.26 & 97.3793094826351 & 0.179822406065530 \tabularnewline
0.27 & 97.4187670856227 & 0.196109798880852 \tabularnewline
0.28 & 97.4622157852168 & 0.225552852188239 \tabularnewline
0.29 & 97.5120767822429 & 0.272369521812122 \tabularnewline
0.3 & 97.5714235701588 & 0.339726504022424 \tabularnewline
0.31 & 97.6438146282917 & 0.42898055564043 \tabularnewline
0.32 & 97.7330321099083 & 0.5401381992656 \tabularnewline
0.33 & 97.8427363701595 & 0.670903780677721 \tabularnewline
0.34 & 97.9760617561719 & 0.816868103791033 \tabularnewline
0.35 & 98.1351964838269 & 0.97127744437143 \tabularnewline
0.36 & 98.321003734605 & 1.12561544464103 \tabularnewline
0.37 & 98.532746817037 & 1.27005583048767 \tabularnewline
0.38 & 98.7679742718194 & 1.39462950601648 \tabularnewline
0.39 & 99.022600252394 & 1.49059300744203 \tabularnewline
0.4 & 99.2911844402421 & 1.55129781564513 \tabularnewline
0.41 & 99.567380640585 & 1.57318939792913 \tabularnewline
0.42 & 99.8444922285522 & 1.55615127569207 \tabularnewline
0.43 & 100.116053286075 & 1.50324604827132 \tabularnewline
0.44 & 100.376351222025 & 1.42059639885937 \tabularnewline
0.45 & 100.620820362615 & 1.31581810217947 \tabularnewline
0.46 & 100.846262710106 & 1.19745444991594 \tabularnewline
0.47 & 101.050885107088 & 1.07373187560287 \tabularnewline
0.48 & 101.234173748453 & 0.951712530034895 \tabularnewline
0.49 & 101.396650792373 & 0.836474818939288 \tabularnewline
0.5 & 101.539569809145 & 0.731365249824004 \tabularnewline
0.51 & 101.664606295819 & 0.637657073979999 \tabularnewline
0.52 & 101.773588705417 & 0.555196581574212 \tabularnewline
0.53 & 101.868298491354 & 0.482849178115255 \tabularnewline
0.54 & 101.950349197888 & 0.418994727383309 \tabularnewline
0.55 & 102.021138644383 & 0.362023903932163 \tabularnewline
0.56 & 102.081857348046 & 0.310676326728627 \tabularnewline
0.57 & 102.133531425245 & 0.26408426799645 \tabularnewline
0.58 & 102.177078742222 & 0.221852076706795 \tabularnewline
0.59 & 102.213361491967 & 0.183838846976536 \tabularnewline
0.6 & 102.243224685514 & 0.150155553174903 \tabularnewline
0.61 & 102.267516413897 & 0.120937757146227 \tabularnewline
0.62 & 102.287090804846 & 0.0962461262695443 \tabularnewline
0.63 & 102.302797676876 & 0.076141677935854 \tabularnewline
0.64 & 102.315463949956 & 0.0604435343776601 \tabularnewline
0.65 & 102.325871377993 & 0.0490193924996563 \tabularnewline
0.66 & 102.334733864937 & 0.0415963305108967 \tabularnewline
0.67 & 102.342676270391 & 0.0376882196737135 \tabularnewline
0.68 & 102.350215758504 & 0.0367146100710193 \tabularnewline
0.69 & 102.357746617118 & 0.0377749088476369 \tabularnewline
0.7 & 102.365529931995 & 0.0399721684300096 \tabularnewline
0.71 & 102.373690126422 & 0.0424055532334635 \tabularnewline
0.72 & 102.382220648746 & 0.0444444269886911 \tabularnewline
0.73 & 102.391000599059 & 0.0454506341356459 \tabularnewline
0.74 & 102.399822716481 & 0.0451579454644521 \tabularnewline
0.75 & 102.408431168797 & 0.0433891516810208 \tabularnewline
0.76 & 102.416565589686 & 0.0402046414131998 \tabularnewline
0.77 & 102.424006503986 & 0.0359093060464382 \tabularnewline
0.78 & 102.430617188397 & 0.0309947381507236 \tabularnewline
0.79 & 102.436378175373 & 0.0259324490724449 \tabularnewline
0.8 & 102.441412449046 & 0.0214750005759562 \tabularnewline
0.81 & 102.446000875163 & 0.0182711478939897 \tabularnewline
0.82 & 102.450587623296 & 0.0173129543348873 \tabularnewline
0.83 & 102.455774438532 & 0.0194248519791315 \tabularnewline
0.84 & 102.462303140420 & 0.0249296517937227 \tabularnewline
0.85 & 102.471033688377 & 0.0335559806630535 \tabularnewline
0.86 & 102.482949691373 & 0.0450124613519875 \tabularnewline
0.87 & 102.499272172061 & 0.0589822245379489 \tabularnewline
0.88 & 102.521829723911 & 0.076010608520928 \tabularnewline
0.89 & 102.553875791788 & 0.099110094244949 \tabularnewline
0.9 & 102.601454861794 & 0.136866450597934 \tabularnewline
0.91 & 102.675034137326 & 0.204586275933436 \tabularnewline
0.92 & 102.790326132402 & 0.319411477131219 \tabularnewline
0.93 & 102.966266433232 & 0.488615114062277 \tabularnewline
0.94 & 103.217925802721 & 0.693293019023605 \tabularnewline
0.95 & 103.544298635952 & 0.874079246887451 \tabularnewline
0.96 & 103.916229956128 & 0.939027774878357 \tabularnewline
0.97 & 104.275535592057 & 0.812824214801509 \tabularnewline
0.98 & 104.555175998888 & 0.514051222901334 \tabularnewline
0.99 & 104.715488069580 & 0.185912834354929 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3897&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]96.6701098072033[/C][C]0.00053327408757931[/C][/ROW]
[ROW][C]0.02[/C][C]96.670757042564[/C][C]0.00314250801609236[/C][/ROW]
[ROW][C]0.03[/C][C]96.6729824739303[/C][C]0.0105702542359470[/C][/ROW]
[ROW][C]0.04[/C][C]96.678578768627[/C][C]0.0256733382163182[/C][/ROW]
[ROW][C]0.05[/C][C]96.6898498081895[/C][C]0.0497424830199852[/C][/ROW]
[ROW][C]0.06[/C][C]96.708946417315[/C][C]0.080813720028135[/C][/ROW]
[ROW][C]0.07[/C][C]96.7370214362969[/C][C]0.113811299370202[/C][/ROW]
[ROW][C]0.08[/C][C]96.7736135246456[/C][C]0.141931742395666[/C][/ROW]
[ROW][C]0.09[/C][C]96.8165842743564[/C][C]0.159505176438066[/C][/ROW]
[ROW][C]0.1[/C][C]96.8626550411724[/C][C]0.163735637898977[/C][/ROW]
[ROW][C]0.11[/C][C]96.9083042032224[/C][C]0.155588987413361[/C][/ROW]
[ROW][C]0.12[/C][C]96.9506560257011[/C][C]0.139000840880720[/C][/ROW]
[ROW][C]0.13[/C][C]96.9880577354069[/C][C]0.119345038597421[/C][/ROW]
[ROW][C]0.14[/C][C]97.0202229810613[/C][C]0.102049365050293[/C][/ROW]
[ROW][C]0.15[/C][C]97.0480009861558[/C][C]0.0913920254390746[/C][/ROW]
[ROW][C]0.16[/C][C]97.0729332756099[/C][C]0.0895008474242592[/C][/ROW]
[ROW][C]0.17[/C][C]97.0967708102599[/C][C]0.0958129451830707[/C][/ROW]
[ROW][C]0.18[/C][C]97.1210762120958[/C][C]0.107691165760085[/C][/ROW]
[ROW][C]0.19[/C][C]97.1469714554842[/C][C]0.122011807026312[/C][/ROW]
[ROW][C]0.2[/C][C]97.175039777214[/C][C]0.136202414303885[/C][/ROW]
[ROW][C]0.21[/C][C]97.2053605938471[/C][C]0.148426258714804[/C][/ROW]
[ROW][C]0.22[/C][C]97.2376438327994[/C][C]0.157605966119036[/C][/ROW]
[ROW][C]0.23[/C][C]97.271427585819[/C][C]0.163556518924890[/C][/ROW]
[ROW][C]0.24[/C][C]97.3063048029982[/C][C]0.167494172363155[/C][/ROW]
[ROW][C]0.25[/C][C]97.342148458142[/C][C]0.171792675839747[/C][/ROW]
[ROW][C]0.26[/C][C]97.3793094826351[/C][C]0.179822406065530[/C][/ROW]
[ROW][C]0.27[/C][C]97.4187670856227[/C][C]0.196109798880852[/C][/ROW]
[ROW][C]0.28[/C][C]97.4622157852168[/C][C]0.225552852188239[/C][/ROW]
[ROW][C]0.29[/C][C]97.5120767822429[/C][C]0.272369521812122[/C][/ROW]
[ROW][C]0.3[/C][C]97.5714235701588[/C][C]0.339726504022424[/C][/ROW]
[ROW][C]0.31[/C][C]97.6438146282917[/C][C]0.42898055564043[/C][/ROW]
[ROW][C]0.32[/C][C]97.7330321099083[/C][C]0.5401381992656[/C][/ROW]
[ROW][C]0.33[/C][C]97.8427363701595[/C][C]0.670903780677721[/C][/ROW]
[ROW][C]0.34[/C][C]97.9760617561719[/C][C]0.816868103791033[/C][/ROW]
[ROW][C]0.35[/C][C]98.1351964838269[/C][C]0.97127744437143[/C][/ROW]
[ROW][C]0.36[/C][C]98.321003734605[/C][C]1.12561544464103[/C][/ROW]
[ROW][C]0.37[/C][C]98.532746817037[/C][C]1.27005583048767[/C][/ROW]
[ROW][C]0.38[/C][C]98.7679742718194[/C][C]1.39462950601648[/C][/ROW]
[ROW][C]0.39[/C][C]99.022600252394[/C][C]1.49059300744203[/C][/ROW]
[ROW][C]0.4[/C][C]99.2911844402421[/C][C]1.55129781564513[/C][/ROW]
[ROW][C]0.41[/C][C]99.567380640585[/C][C]1.57318939792913[/C][/ROW]
[ROW][C]0.42[/C][C]99.8444922285522[/C][C]1.55615127569207[/C][/ROW]
[ROW][C]0.43[/C][C]100.116053286075[/C][C]1.50324604827132[/C][/ROW]
[ROW][C]0.44[/C][C]100.376351222025[/C][C]1.42059639885937[/C][/ROW]
[ROW][C]0.45[/C][C]100.620820362615[/C][C]1.31581810217947[/C][/ROW]
[ROW][C]0.46[/C][C]100.846262710106[/C][C]1.19745444991594[/C][/ROW]
[ROW][C]0.47[/C][C]101.050885107088[/C][C]1.07373187560287[/C][/ROW]
[ROW][C]0.48[/C][C]101.234173748453[/C][C]0.951712530034895[/C][/ROW]
[ROW][C]0.49[/C][C]101.396650792373[/C][C]0.836474818939288[/C][/ROW]
[ROW][C]0.5[/C][C]101.539569809145[/C][C]0.731365249824004[/C][/ROW]
[ROW][C]0.51[/C][C]101.664606295819[/C][C]0.637657073979999[/C][/ROW]
[ROW][C]0.52[/C][C]101.773588705417[/C][C]0.555196581574212[/C][/ROW]
[ROW][C]0.53[/C][C]101.868298491354[/C][C]0.482849178115255[/C][/ROW]
[ROW][C]0.54[/C][C]101.950349197888[/C][C]0.418994727383309[/C][/ROW]
[ROW][C]0.55[/C][C]102.021138644383[/C][C]0.362023903932163[/C][/ROW]
[ROW][C]0.56[/C][C]102.081857348046[/C][C]0.310676326728627[/C][/ROW]
[ROW][C]0.57[/C][C]102.133531425245[/C][C]0.26408426799645[/C][/ROW]
[ROW][C]0.58[/C][C]102.177078742222[/C][C]0.221852076706795[/C][/ROW]
[ROW][C]0.59[/C][C]102.213361491967[/C][C]0.183838846976536[/C][/ROW]
[ROW][C]0.6[/C][C]102.243224685514[/C][C]0.150155553174903[/C][/ROW]
[ROW][C]0.61[/C][C]102.267516413897[/C][C]0.120937757146227[/C][/ROW]
[ROW][C]0.62[/C][C]102.287090804846[/C][C]0.0962461262695443[/C][/ROW]
[ROW][C]0.63[/C][C]102.302797676876[/C][C]0.076141677935854[/C][/ROW]
[ROW][C]0.64[/C][C]102.315463949956[/C][C]0.0604435343776601[/C][/ROW]
[ROW][C]0.65[/C][C]102.325871377993[/C][C]0.0490193924996563[/C][/ROW]
[ROW][C]0.66[/C][C]102.334733864937[/C][C]0.0415963305108967[/C][/ROW]
[ROW][C]0.67[/C][C]102.342676270391[/C][C]0.0376882196737135[/C][/ROW]
[ROW][C]0.68[/C][C]102.350215758504[/C][C]0.0367146100710193[/C][/ROW]
[ROW][C]0.69[/C][C]102.357746617118[/C][C]0.0377749088476369[/C][/ROW]
[ROW][C]0.7[/C][C]102.365529931995[/C][C]0.0399721684300096[/C][/ROW]
[ROW][C]0.71[/C][C]102.373690126422[/C][C]0.0424055532334635[/C][/ROW]
[ROW][C]0.72[/C][C]102.382220648746[/C][C]0.0444444269886911[/C][/ROW]
[ROW][C]0.73[/C][C]102.391000599059[/C][C]0.0454506341356459[/C][/ROW]
[ROW][C]0.74[/C][C]102.399822716481[/C][C]0.0451579454644521[/C][/ROW]
[ROW][C]0.75[/C][C]102.408431168797[/C][C]0.0433891516810208[/C][/ROW]
[ROW][C]0.76[/C][C]102.416565589686[/C][C]0.0402046414131998[/C][/ROW]
[ROW][C]0.77[/C][C]102.424006503986[/C][C]0.0359093060464382[/C][/ROW]
[ROW][C]0.78[/C][C]102.430617188397[/C][C]0.0309947381507236[/C][/ROW]
[ROW][C]0.79[/C][C]102.436378175373[/C][C]0.0259324490724449[/C][/ROW]
[ROW][C]0.8[/C][C]102.441412449046[/C][C]0.0214750005759562[/C][/ROW]
[ROW][C]0.81[/C][C]102.446000875163[/C][C]0.0182711478939897[/C][/ROW]
[ROW][C]0.82[/C][C]102.450587623296[/C][C]0.0173129543348873[/C][/ROW]
[ROW][C]0.83[/C][C]102.455774438532[/C][C]0.0194248519791315[/C][/ROW]
[ROW][C]0.84[/C][C]102.462303140420[/C][C]0.0249296517937227[/C][/ROW]
[ROW][C]0.85[/C][C]102.471033688377[/C][C]0.0335559806630535[/C][/ROW]
[ROW][C]0.86[/C][C]102.482949691373[/C][C]0.0450124613519875[/C][/ROW]
[ROW][C]0.87[/C][C]102.499272172061[/C][C]0.0589822245379489[/C][/ROW]
[ROW][C]0.88[/C][C]102.521829723911[/C][C]0.076010608520928[/C][/ROW]
[ROW][C]0.89[/C][C]102.553875791788[/C][C]0.099110094244949[/C][/ROW]
[ROW][C]0.9[/C][C]102.601454861794[/C][C]0.136866450597934[/C][/ROW]
[ROW][C]0.91[/C][C]102.675034137326[/C][C]0.204586275933436[/C][/ROW]
[ROW][C]0.92[/C][C]102.790326132402[/C][C]0.319411477131219[/C][/ROW]
[ROW][C]0.93[/C][C]102.966266433232[/C][C]0.488615114062277[/C][/ROW]
[ROW][C]0.94[/C][C]103.217925802721[/C][C]0.693293019023605[/C][/ROW]
[ROW][C]0.95[/C][C]103.544298635952[/C][C]0.874079246887451[/C][/ROW]
[ROW][C]0.96[/C][C]103.916229956128[/C][C]0.939027774878357[/C][/ROW]
[ROW][C]0.97[/C][C]104.275535592057[/C][C]0.812824214801509[/C][/ROW]
[ROW][C]0.98[/C][C]104.555175998888[/C][C]0.514051222901334[/C][/ROW]
[ROW][C]0.99[/C][C]104.715488069580[/C][C]0.185912834354929[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3897&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3897&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
0.0196.67010980720330.00053327408757931
0.0296.6707570425640.00314250801609236
0.0396.67298247393030.0105702542359470
0.0496.6785787686270.0256733382163182
0.0596.68984980818950.0497424830199852
0.0696.7089464173150.080813720028135
0.0796.73702143629690.113811299370202
0.0896.77361352464560.141931742395666
0.0996.81658427435640.159505176438066
0.196.86265504117240.163735637898977
0.1196.90830420322240.155588987413361
0.1296.95065602570110.139000840880720
0.1396.98805773540690.119345038597421
0.1497.02022298106130.102049365050293
0.1597.04800098615580.0913920254390746
0.1697.07293327560990.0895008474242592
0.1797.09677081025990.0958129451830707
0.1897.12107621209580.107691165760085
0.1997.14697145548420.122011807026312
0.297.1750397772140.136202414303885
0.2197.20536059384710.148426258714804
0.2297.23764383279940.157605966119036
0.2397.2714275858190.163556518924890
0.2497.30630480299820.167494172363155
0.2597.3421484581420.171792675839747
0.2697.37930948263510.179822406065530
0.2797.41876708562270.196109798880852
0.2897.46221578521680.225552852188239
0.2997.51207678224290.272369521812122
0.397.57142357015880.339726504022424
0.3197.64381462829170.42898055564043
0.3297.73303210990830.5401381992656
0.3397.84273637015950.670903780677721
0.3497.97606175617190.816868103791033
0.3598.13519648382690.97127744437143
0.3698.3210037346051.12561544464103
0.3798.5327468170371.27005583048767
0.3898.76797427181941.39462950601648
0.3999.0226002523941.49059300744203
0.499.29118444024211.55129781564513
0.4199.5673806405851.57318939792913
0.4299.84449222855221.55615127569207
0.43100.1160532860751.50324604827132
0.44100.3763512220251.42059639885937
0.45100.6208203626151.31581810217947
0.46100.8462627101061.19745444991594
0.47101.0508851070881.07373187560287
0.48101.2341737484530.951712530034895
0.49101.3966507923730.836474818939288
0.5101.5395698091450.731365249824004
0.51101.6646062958190.637657073979999
0.52101.7735887054170.555196581574212
0.53101.8682984913540.482849178115255
0.54101.9503491978880.418994727383309
0.55102.0211386443830.362023903932163
0.56102.0818573480460.310676326728627
0.57102.1335314252450.26408426799645
0.58102.1770787422220.221852076706795
0.59102.2133614919670.183838846976536
0.6102.2432246855140.150155553174903
0.61102.2675164138970.120937757146227
0.62102.2870908048460.0962461262695443
0.63102.3027976768760.076141677935854
0.64102.3154639499560.0604435343776601
0.65102.3258713779930.0490193924996563
0.66102.3347338649370.0415963305108967
0.67102.3426762703910.0376882196737135
0.68102.3502157585040.0367146100710193
0.69102.3577466171180.0377749088476369
0.7102.3655299319950.0399721684300096
0.71102.3736901264220.0424055532334635
0.72102.3822206487460.0444444269886911
0.73102.3910005990590.0454506341356459
0.74102.3998227164810.0451579454644521
0.75102.4084311687970.0433891516810208
0.76102.4165655896860.0402046414131998
0.77102.4240065039860.0359093060464382
0.78102.4306171883970.0309947381507236
0.79102.4363781753730.0259324490724449
0.8102.4414124490460.0214750005759562
0.81102.4460008751630.0182711478939897
0.82102.4505876232960.0173129543348873
0.83102.4557744385320.0194248519791315
0.84102.4623031404200.0249296517937227
0.85102.4710336883770.0335559806630535
0.86102.4829496913730.0450124613519875
0.87102.4992721720610.0589822245379489
0.88102.5218297239110.076010608520928
0.89102.5538757917880.099110094244949
0.9102.6014548617940.136866450597934
0.91102.6750341373260.204586275933436
0.92102.7903261324020.319411477131219
0.93102.9662664332320.488615114062277
0.94103.2179258027210.693293019023605
0.95103.5442986359520.874079246887451
0.96103.9162299561280.939027774878357
0.97104.2755355920570.812824214801509
0.98104.5551759988880.514051222901334
0.99104.7154880695800.185912834354929


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')