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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, 06 Aug 2015 16:24:21 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Aug/06/t1438874673ibaale1g4ljxro4.htm/, Retrieved Sun, 07 Jun 2026 02:26:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279882, Retrieved Sun, 07 Jun 2026 02:26:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact390

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2015-08-06 14:45:14] [74be16979710d4c4e7c6647856088456]
- RMPD  [Histogram] [] [2015-08-06 14:51:09] [74be16979710d4c4e7c6647856088456]
- RMP     [Harrell-Davis Quantiles] [] [2015-08-06 15:14:25] [74be16979710d4c4e7c6647856088456]
- R P         [Harrell-Davis Quantiles] [] [2015-08-06 15:24:21] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- RMP           [Central Tendency] [] [2015-08-06 15:46:24] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1684800.00
1622400.00
1716000.00
1372800.00
1778400.00
1747200.00
1872000.00
1934400.00
2152800.00
1872000.00
1778400.00
2215200.00
1872000.00
1404000.00
1653600.00
1248000.00
1747200.00
1435200.00
1903200.00
1716000.00
1809600.00
2028000.00
1996800.00
2371200.00
1716000.00
1435200.00
1591200.00
1154400.00
1653600.00
1279200.00
1809600.00
1716000.00
1528800.00
2184000.00
1965600.00
2246400.00
1684800.00
1560000.00
1404000.00
1154400.00
1528800.00
1372800.00
1872000.00
1809600.00
1560000.00
2090400.00
1934400.00
2496000.00
1996800.00
1216800.00
1216800.00
1216800.00
1435200.00
1435200.00
1934400.00
1778400.00
1591200.00
1996800.00
1840800.00
2652000.00
2090400.00
1216800.00
1279200.00
1060800.00
1466400.00
1684800.00
2121600.00
2090400.00
1684800.00
1965600.00
1747200.00
2496000.00
1903200.00
1528800.00
1372800.00
1029600.00
1528800.00
1840800.00
2152800.00
2028000.00
1497600.00
2152800.00
1684800.00
2589600.00
2152800.00
1560000.00
1435200.00
967200.00
1528800.00
1466400.00
2215200.00
2215200.00
1684800.00
2184000.00
1622400.00
2527200.00
2152800.00
1591200.00
1216800.00
842400.00
1653600.00
1591200.00
2090400.00
2402400.00
1778400.00
1996800.00
1497600.00
2589600.00

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279882&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279882&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279882&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01906343.32013052298482.2027071601
0.02987155.68887502481285.1619899776
0.031052639.2712782377235.0089597861
0.041103563.4250186572067.8435785929
0.051143670.6554481261646.1942894018
0.061174565.9623069349797.9223075793
0.071198173.0959975141573.0725657576
0.081217324.7150607640142.866215282
0.091234967.3927740745186.79787869
0.11253293.6383658853504.4810975173
0.111273314.4213364861604.7045493909
0.121294918.8356160267026.2907711291
0.131317259.5715574768661.6048318539
0.141339237.1223241466673.3192933347
0.151359897.2637214162083.9716054955
0.161378652.7414381656274.829892994
0.171395331.0401261550544.8284322984
0.181410101.7913600945847.9882435705
0.191423347.9794525242698.3924155635
0.21435531.073348741157.0876925082
0.211447080.0446445340919.6475605582
0.221458318.444649341448.3471130395
0.231469433.6194465842174.3703926864
0.241480484.7201468342655.1623539394
0.251491439.444043142674.5816182751
0.261502224.3786821142238.3671797631
0.271512772.6581498541531.2654393318
0.281523056.3383333140816.7213565511
0.291533098.0001576440339.0563679467
0.31542963.5597945640254.0166333949
0.311552743.2679800540597.0414212754
0.321562529.1758724841304.7215579932
0.331572395.553760642243.8092908557
0.341582385.6137981743254.0204425497
0.351592505.1534968644165.1662738307
0.361602722.3211163344818.6324181963
0.371612972.5077820445079.6827503111
0.381623167.6583941844858.4576571614
0.391633209.3055374544132.8898495418
0.41643004.0544734942958.2643087029
0.411652479.326015741461.4130847776
0.421661596.4709481239836.9751819118
0.431670358.4330468538307.3259775774
0.441678810.1396084437081.2685008206
0.451687031.485423736313.5820666162
0.461695124.5920432836080.2353218422
0.471703198.3647660436365.8694304373
0.481711353.8266226537081.1677414885
0.491719673.1993903538093.4027663588
0.51728214.4565134339272.8943468998
0.511737011.5141224940502.9450992267
0.521746078.8124640341713.3677786192
0.531755418.1345934642869.5997333682
0.541765025.3043228943972.3509747284
0.551774894.8956787845036.5644135708
0.561785022.0793724946071.5622554761
0.571795401.8933715447073.4786921498
0.581806027.1610269848018.001746851
0.591816886.6603039448874.5588742012
0.61827964.8328626249613.0679711843
0.611839243.447587350217.2063212006
0.621850704.5859137250702.1696750597
0.631862333.5876760651099.2834422277
0.641874120.5644378351438.3754487649
0.651886059.8235435651744.68257437
0.661898147.7462298352015.8770622777
0.671910380.7499986152236.2019811004
0.681922755.3278826352393.335921457
0.691935271.4307330352489.1242283686
0.71947938.7397957852574.0973529386
0.711960783.2822600952731.9387068601
0.721973850.3549776753067.6037270236
0.731987199.8126157153657.3922305195
0.742000891.8913591554492.1160624838
0.752014965.3794402355442.4068916449
0.762029413.6783232256263.2076235146
0.772044166.3851301256653.1632442724
0.782059083.4371532456324.4287123096
0.792073965.9649455855085.41700818
0.82088584.264190652890.8050013977
0.812102720.0462560649858.8992983912
0.822116217.583775746284.4584624231
0.832129036.2600843642621.461644984
0.842141296.5453668239466.4892235664
0.852153315.772967637479.7857885863
0.862165640.5591912937326.5731430911
0.872179091.1789357139667.1694362544
0.882194819.7401845845269.2493878948
0.892214331.4536487854932.6512706452
0.92239344.9284330968808.459765215
0.912271351.3324359585341.0902515839
0.922310878.6678024100718.997473803
0.932356789.59243218109744.980637624
0.942406212.62686819108380.478120016
0.952455485.7413841196709.8628847586
0.962501639.4760008979421.9625189557
0.972543520.592198161556.7670690442
0.982582752.3951042546003.8132593203
0.992622244.4828577845647.1397213279

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 906343.320130522 & 98482.2027071601 \tabularnewline
0.02 & 987155.688875024 & 81285.1619899776 \tabularnewline
0.03 & 1052639.27127823 & 77235.0089597861 \tabularnewline
0.04 & 1103563.42501865 & 72067.8435785929 \tabularnewline
0.05 & 1143670.65544812 & 61646.1942894018 \tabularnewline
0.06 & 1174565.96230693 & 49797.9223075793 \tabularnewline
0.07 & 1198173.09599751 & 41573.0725657576 \tabularnewline
0.08 & 1217324.71506076 & 40142.866215282 \tabularnewline
0.09 & 1234967.39277407 & 45186.79787869 \tabularnewline
0.1 & 1253293.63836588 & 53504.4810975173 \tabularnewline
0.11 & 1273314.42133648 & 61604.7045493909 \tabularnewline
0.12 & 1294918.83561602 & 67026.2907711291 \tabularnewline
0.13 & 1317259.57155747 & 68661.6048318539 \tabularnewline
0.14 & 1339237.12232414 & 66673.3192933347 \tabularnewline
0.15 & 1359897.26372141 & 62083.9716054955 \tabularnewline
0.16 & 1378652.74143816 & 56274.829892994 \tabularnewline
0.17 & 1395331.04012615 & 50544.8284322984 \tabularnewline
0.18 & 1410101.79136009 & 45847.9882435705 \tabularnewline
0.19 & 1423347.97945252 & 42698.3924155635 \tabularnewline
0.2 & 1435531.0733487 & 41157.0876925082 \tabularnewline
0.21 & 1447080.04464453 & 40919.6475605582 \tabularnewline
0.22 & 1458318.4446493 & 41448.3471130395 \tabularnewline
0.23 & 1469433.61944658 & 42174.3703926864 \tabularnewline
0.24 & 1480484.72014683 & 42655.1623539394 \tabularnewline
0.25 & 1491439.4440431 & 42674.5816182751 \tabularnewline
0.26 & 1502224.37868211 & 42238.3671797631 \tabularnewline
0.27 & 1512772.65814985 & 41531.2654393318 \tabularnewline
0.28 & 1523056.33833331 & 40816.7213565511 \tabularnewline
0.29 & 1533098.00015764 & 40339.0563679467 \tabularnewline
0.3 & 1542963.55979456 & 40254.0166333949 \tabularnewline
0.31 & 1552743.26798005 & 40597.0414212754 \tabularnewline
0.32 & 1562529.17587248 & 41304.7215579932 \tabularnewline
0.33 & 1572395.5537606 & 42243.8092908557 \tabularnewline
0.34 & 1582385.61379817 & 43254.0204425497 \tabularnewline
0.35 & 1592505.15349686 & 44165.1662738307 \tabularnewline
0.36 & 1602722.32111633 & 44818.6324181963 \tabularnewline
0.37 & 1612972.50778204 & 45079.6827503111 \tabularnewline
0.38 & 1623167.65839418 & 44858.4576571614 \tabularnewline
0.39 & 1633209.30553745 & 44132.8898495418 \tabularnewline
0.4 & 1643004.05447349 & 42958.2643087029 \tabularnewline
0.41 & 1652479.3260157 & 41461.4130847776 \tabularnewline
0.42 & 1661596.47094812 & 39836.9751819118 \tabularnewline
0.43 & 1670358.43304685 & 38307.3259775774 \tabularnewline
0.44 & 1678810.13960844 & 37081.2685008206 \tabularnewline
0.45 & 1687031.4854237 & 36313.5820666162 \tabularnewline
0.46 & 1695124.59204328 & 36080.2353218422 \tabularnewline
0.47 & 1703198.36476604 & 36365.8694304373 \tabularnewline
0.48 & 1711353.82662265 & 37081.1677414885 \tabularnewline
0.49 & 1719673.19939035 & 38093.4027663588 \tabularnewline
0.5 & 1728214.45651343 & 39272.8943468998 \tabularnewline
0.51 & 1737011.51412249 & 40502.9450992267 \tabularnewline
0.52 & 1746078.81246403 & 41713.3677786192 \tabularnewline
0.53 & 1755418.13459346 & 42869.5997333682 \tabularnewline
0.54 & 1765025.30432289 & 43972.3509747284 \tabularnewline
0.55 & 1774894.89567878 & 45036.5644135708 \tabularnewline
0.56 & 1785022.07937249 & 46071.5622554761 \tabularnewline
0.57 & 1795401.89337154 & 47073.4786921498 \tabularnewline
0.58 & 1806027.16102698 & 48018.001746851 \tabularnewline
0.59 & 1816886.66030394 & 48874.5588742012 \tabularnewline
0.6 & 1827964.83286262 & 49613.0679711843 \tabularnewline
0.61 & 1839243.4475873 & 50217.2063212006 \tabularnewline
0.62 & 1850704.58591372 & 50702.1696750597 \tabularnewline
0.63 & 1862333.58767606 & 51099.2834422277 \tabularnewline
0.64 & 1874120.56443783 & 51438.3754487649 \tabularnewline
0.65 & 1886059.82354356 & 51744.68257437 \tabularnewline
0.66 & 1898147.74622983 & 52015.8770622777 \tabularnewline
0.67 & 1910380.74999861 & 52236.2019811004 \tabularnewline
0.68 & 1922755.32788263 & 52393.335921457 \tabularnewline
0.69 & 1935271.43073303 & 52489.1242283686 \tabularnewline
0.7 & 1947938.73979578 & 52574.0973529386 \tabularnewline
0.71 & 1960783.28226009 & 52731.9387068601 \tabularnewline
0.72 & 1973850.35497767 & 53067.6037270236 \tabularnewline
0.73 & 1987199.81261571 & 53657.3922305195 \tabularnewline
0.74 & 2000891.89135915 & 54492.1160624838 \tabularnewline
0.75 & 2014965.37944023 & 55442.4068916449 \tabularnewline
0.76 & 2029413.67832322 & 56263.2076235146 \tabularnewline
0.77 & 2044166.38513012 & 56653.1632442724 \tabularnewline
0.78 & 2059083.43715324 & 56324.4287123096 \tabularnewline
0.79 & 2073965.96494558 & 55085.41700818 \tabularnewline
0.8 & 2088584.2641906 & 52890.8050013977 \tabularnewline
0.81 & 2102720.04625606 & 49858.8992983912 \tabularnewline
0.82 & 2116217.5837757 & 46284.4584624231 \tabularnewline
0.83 & 2129036.26008436 & 42621.461644984 \tabularnewline
0.84 & 2141296.54536682 & 39466.4892235664 \tabularnewline
0.85 & 2153315.7729676 & 37479.7857885863 \tabularnewline
0.86 & 2165640.55919129 & 37326.5731430911 \tabularnewline
0.87 & 2179091.17893571 & 39667.1694362544 \tabularnewline
0.88 & 2194819.74018458 & 45269.2493878948 \tabularnewline
0.89 & 2214331.45364878 & 54932.6512706452 \tabularnewline
0.9 & 2239344.92843309 & 68808.459765215 \tabularnewline
0.91 & 2271351.33243595 & 85341.0902515839 \tabularnewline
0.92 & 2310878.6678024 & 100718.997473803 \tabularnewline
0.93 & 2356789.59243218 & 109744.980637624 \tabularnewline
0.94 & 2406212.62686819 & 108380.478120016 \tabularnewline
0.95 & 2455485.74138411 & 96709.8628847586 \tabularnewline
0.96 & 2501639.47600089 & 79421.9625189557 \tabularnewline
0.97 & 2543520.5921981 & 61556.7670690442 \tabularnewline
0.98 & 2582752.39510425 & 46003.8132593203 \tabularnewline
0.99 & 2622244.48285778 & 45647.1397213279 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279882&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]906343.320130522[/C][C]98482.2027071601[/C][/ROW]
[ROW][C]0.02[/C][C]987155.688875024[/C][C]81285.1619899776[/C][/ROW]
[ROW][C]0.03[/C][C]1052639.27127823[/C][C]77235.0089597861[/C][/ROW]
[ROW][C]0.04[/C][C]1103563.42501865[/C][C]72067.8435785929[/C][/ROW]
[ROW][C]0.05[/C][C]1143670.65544812[/C][C]61646.1942894018[/C][/ROW]
[ROW][C]0.06[/C][C]1174565.96230693[/C][C]49797.9223075793[/C][/ROW]
[ROW][C]0.07[/C][C]1198173.09599751[/C][C]41573.0725657576[/C][/ROW]
[ROW][C]0.08[/C][C]1217324.71506076[/C][C]40142.866215282[/C][/ROW]
[ROW][C]0.09[/C][C]1234967.39277407[/C][C]45186.79787869[/C][/ROW]
[ROW][C]0.1[/C][C]1253293.63836588[/C][C]53504.4810975173[/C][/ROW]
[ROW][C]0.11[/C][C]1273314.42133648[/C][C]61604.7045493909[/C][/ROW]
[ROW][C]0.12[/C][C]1294918.83561602[/C][C]67026.2907711291[/C][/ROW]
[ROW][C]0.13[/C][C]1317259.57155747[/C][C]68661.6048318539[/C][/ROW]
[ROW][C]0.14[/C][C]1339237.12232414[/C][C]66673.3192933347[/C][/ROW]
[ROW][C]0.15[/C][C]1359897.26372141[/C][C]62083.9716054955[/C][/ROW]
[ROW][C]0.16[/C][C]1378652.74143816[/C][C]56274.829892994[/C][/ROW]
[ROW][C]0.17[/C][C]1395331.04012615[/C][C]50544.8284322984[/C][/ROW]
[ROW][C]0.18[/C][C]1410101.79136009[/C][C]45847.9882435705[/C][/ROW]
[ROW][C]0.19[/C][C]1423347.97945252[/C][C]42698.3924155635[/C][/ROW]
[ROW][C]0.2[/C][C]1435531.0733487[/C][C]41157.0876925082[/C][/ROW]
[ROW][C]0.21[/C][C]1447080.04464453[/C][C]40919.6475605582[/C][/ROW]
[ROW][C]0.22[/C][C]1458318.4446493[/C][C]41448.3471130395[/C][/ROW]
[ROW][C]0.23[/C][C]1469433.61944658[/C][C]42174.3703926864[/C][/ROW]
[ROW][C]0.24[/C][C]1480484.72014683[/C][C]42655.1623539394[/C][/ROW]
[ROW][C]0.25[/C][C]1491439.4440431[/C][C]42674.5816182751[/C][/ROW]
[ROW][C]0.26[/C][C]1502224.37868211[/C][C]42238.3671797631[/C][/ROW]
[ROW][C]0.27[/C][C]1512772.65814985[/C][C]41531.2654393318[/C][/ROW]
[ROW][C]0.28[/C][C]1523056.33833331[/C][C]40816.7213565511[/C][/ROW]
[ROW][C]0.29[/C][C]1533098.00015764[/C][C]40339.0563679467[/C][/ROW]
[ROW][C]0.3[/C][C]1542963.55979456[/C][C]40254.0166333949[/C][/ROW]
[ROW][C]0.31[/C][C]1552743.26798005[/C][C]40597.0414212754[/C][/ROW]
[ROW][C]0.32[/C][C]1562529.17587248[/C][C]41304.7215579932[/C][/ROW]
[ROW][C]0.33[/C][C]1572395.5537606[/C][C]42243.8092908557[/C][/ROW]
[ROW][C]0.34[/C][C]1582385.61379817[/C][C]43254.0204425497[/C][/ROW]
[ROW][C]0.35[/C][C]1592505.15349686[/C][C]44165.1662738307[/C][/ROW]
[ROW][C]0.36[/C][C]1602722.32111633[/C][C]44818.6324181963[/C][/ROW]
[ROW][C]0.37[/C][C]1612972.50778204[/C][C]45079.6827503111[/C][/ROW]
[ROW][C]0.38[/C][C]1623167.65839418[/C][C]44858.4576571614[/C][/ROW]
[ROW][C]0.39[/C][C]1633209.30553745[/C][C]44132.8898495418[/C][/ROW]
[ROW][C]0.4[/C][C]1643004.05447349[/C][C]42958.2643087029[/C][/ROW]
[ROW][C]0.41[/C][C]1652479.3260157[/C][C]41461.4130847776[/C][/ROW]
[ROW][C]0.42[/C][C]1661596.47094812[/C][C]39836.9751819118[/C][/ROW]
[ROW][C]0.43[/C][C]1670358.43304685[/C][C]38307.3259775774[/C][/ROW]
[ROW][C]0.44[/C][C]1678810.13960844[/C][C]37081.2685008206[/C][/ROW]
[ROW][C]0.45[/C][C]1687031.4854237[/C][C]36313.5820666162[/C][/ROW]
[ROW][C]0.46[/C][C]1695124.59204328[/C][C]36080.2353218422[/C][/ROW]
[ROW][C]0.47[/C][C]1703198.36476604[/C][C]36365.8694304373[/C][/ROW]
[ROW][C]0.48[/C][C]1711353.82662265[/C][C]37081.1677414885[/C][/ROW]
[ROW][C]0.49[/C][C]1719673.19939035[/C][C]38093.4027663588[/C][/ROW]
[ROW][C]0.5[/C][C]1728214.45651343[/C][C]39272.8943468998[/C][/ROW]
[ROW][C]0.51[/C][C]1737011.51412249[/C][C]40502.9450992267[/C][/ROW]
[ROW][C]0.52[/C][C]1746078.81246403[/C][C]41713.3677786192[/C][/ROW]
[ROW][C]0.53[/C][C]1755418.13459346[/C][C]42869.5997333682[/C][/ROW]
[ROW][C]0.54[/C][C]1765025.30432289[/C][C]43972.3509747284[/C][/ROW]
[ROW][C]0.55[/C][C]1774894.89567878[/C][C]45036.5644135708[/C][/ROW]
[ROW][C]0.56[/C][C]1785022.07937249[/C][C]46071.5622554761[/C][/ROW]
[ROW][C]0.57[/C][C]1795401.89337154[/C][C]47073.4786921498[/C][/ROW]
[ROW][C]0.58[/C][C]1806027.16102698[/C][C]48018.001746851[/C][/ROW]
[ROW][C]0.59[/C][C]1816886.66030394[/C][C]48874.5588742012[/C][/ROW]
[ROW][C]0.6[/C][C]1827964.83286262[/C][C]49613.0679711843[/C][/ROW]
[ROW][C]0.61[/C][C]1839243.4475873[/C][C]50217.2063212006[/C][/ROW]
[ROW][C]0.62[/C][C]1850704.58591372[/C][C]50702.1696750597[/C][/ROW]
[ROW][C]0.63[/C][C]1862333.58767606[/C][C]51099.2834422277[/C][/ROW]
[ROW][C]0.64[/C][C]1874120.56443783[/C][C]51438.3754487649[/C][/ROW]
[ROW][C]0.65[/C][C]1886059.82354356[/C][C]51744.68257437[/C][/ROW]
[ROW][C]0.66[/C][C]1898147.74622983[/C][C]52015.8770622777[/C][/ROW]
[ROW][C]0.67[/C][C]1910380.74999861[/C][C]52236.2019811004[/C][/ROW]
[ROW][C]0.68[/C][C]1922755.32788263[/C][C]52393.335921457[/C][/ROW]
[ROW][C]0.69[/C][C]1935271.43073303[/C][C]52489.1242283686[/C][/ROW]
[ROW][C]0.7[/C][C]1947938.73979578[/C][C]52574.0973529386[/C][/ROW]
[ROW][C]0.71[/C][C]1960783.28226009[/C][C]52731.9387068601[/C][/ROW]
[ROW][C]0.72[/C][C]1973850.35497767[/C][C]53067.6037270236[/C][/ROW]
[ROW][C]0.73[/C][C]1987199.81261571[/C][C]53657.3922305195[/C][/ROW]
[ROW][C]0.74[/C][C]2000891.89135915[/C][C]54492.1160624838[/C][/ROW]
[ROW][C]0.75[/C][C]2014965.37944023[/C][C]55442.4068916449[/C][/ROW]
[ROW][C]0.76[/C][C]2029413.67832322[/C][C]56263.2076235146[/C][/ROW]
[ROW][C]0.77[/C][C]2044166.38513012[/C][C]56653.1632442724[/C][/ROW]
[ROW][C]0.78[/C][C]2059083.43715324[/C][C]56324.4287123096[/C][/ROW]
[ROW][C]0.79[/C][C]2073965.96494558[/C][C]55085.41700818[/C][/ROW]
[ROW][C]0.8[/C][C]2088584.2641906[/C][C]52890.8050013977[/C][/ROW]
[ROW][C]0.81[/C][C]2102720.04625606[/C][C]49858.8992983912[/C][/ROW]
[ROW][C]0.82[/C][C]2116217.5837757[/C][C]46284.4584624231[/C][/ROW]
[ROW][C]0.83[/C][C]2129036.26008436[/C][C]42621.461644984[/C][/ROW]
[ROW][C]0.84[/C][C]2141296.54536682[/C][C]39466.4892235664[/C][/ROW]
[ROW][C]0.85[/C][C]2153315.7729676[/C][C]37479.7857885863[/C][/ROW]
[ROW][C]0.86[/C][C]2165640.55919129[/C][C]37326.5731430911[/C][/ROW]
[ROW][C]0.87[/C][C]2179091.17893571[/C][C]39667.1694362544[/C][/ROW]
[ROW][C]0.88[/C][C]2194819.74018458[/C][C]45269.2493878948[/C][/ROW]
[ROW][C]0.89[/C][C]2214331.45364878[/C][C]54932.6512706452[/C][/ROW]
[ROW][C]0.9[/C][C]2239344.92843309[/C][C]68808.459765215[/C][/ROW]
[ROW][C]0.91[/C][C]2271351.33243595[/C][C]85341.0902515839[/C][/ROW]
[ROW][C]0.92[/C][C]2310878.6678024[/C][C]100718.997473803[/C][/ROW]
[ROW][C]0.93[/C][C]2356789.59243218[/C][C]109744.980637624[/C][/ROW]
[ROW][C]0.94[/C][C]2406212.62686819[/C][C]108380.478120016[/C][/ROW]
[ROW][C]0.95[/C][C]2455485.74138411[/C][C]96709.8628847586[/C][/ROW]
[ROW][C]0.96[/C][C]2501639.47600089[/C][C]79421.9625189557[/C][/ROW]
[ROW][C]0.97[/C][C]2543520.5921981[/C][C]61556.7670690442[/C][/ROW]
[ROW][C]0.98[/C][C]2582752.39510425[/C][C]46003.8132593203[/C][/ROW]
[ROW][C]0.99[/C][C]2622244.48285778[/C][C]45647.1397213279[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279882&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279882&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
0.01906343.32013052298482.2027071601
0.02987155.68887502481285.1619899776
0.031052639.2712782377235.0089597861
0.041103563.4250186572067.8435785929
0.051143670.6554481261646.1942894018
0.061174565.9623069349797.9223075793
0.071198173.0959975141573.0725657576
0.081217324.7150607640142.866215282
0.091234967.3927740745186.79787869
0.11253293.6383658853504.4810975173
0.111273314.4213364861604.7045493909
0.121294918.8356160267026.2907711291
0.131317259.5715574768661.6048318539
0.141339237.1223241466673.3192933347
0.151359897.2637214162083.9716054955
0.161378652.7414381656274.829892994
0.171395331.0401261550544.8284322984
0.181410101.7913600945847.9882435705
0.191423347.9794525242698.3924155635
0.21435531.073348741157.0876925082
0.211447080.0446445340919.6475605582
0.221458318.444649341448.3471130395
0.231469433.6194465842174.3703926864
0.241480484.7201468342655.1623539394
0.251491439.444043142674.5816182751
0.261502224.3786821142238.3671797631
0.271512772.6581498541531.2654393318
0.281523056.3383333140816.7213565511
0.291533098.0001576440339.0563679467
0.31542963.5597945640254.0166333949
0.311552743.2679800540597.0414212754
0.321562529.1758724841304.7215579932
0.331572395.553760642243.8092908557
0.341582385.6137981743254.0204425497
0.351592505.1534968644165.1662738307
0.361602722.3211163344818.6324181963
0.371612972.5077820445079.6827503111
0.381623167.6583941844858.4576571614
0.391633209.3055374544132.8898495418
0.41643004.0544734942958.2643087029
0.411652479.326015741461.4130847776
0.421661596.4709481239836.9751819118
0.431670358.4330468538307.3259775774
0.441678810.1396084437081.2685008206
0.451687031.485423736313.5820666162
0.461695124.5920432836080.2353218422
0.471703198.3647660436365.8694304373
0.481711353.8266226537081.1677414885
0.491719673.1993903538093.4027663588
0.51728214.4565134339272.8943468998
0.511737011.5141224940502.9450992267
0.521746078.8124640341713.3677786192
0.531755418.1345934642869.5997333682
0.541765025.3043228943972.3509747284
0.551774894.8956787845036.5644135708
0.561785022.0793724946071.5622554761
0.571795401.8933715447073.4786921498
0.581806027.1610269848018.001746851
0.591816886.6603039448874.5588742012
0.61827964.8328626249613.0679711843
0.611839243.447587350217.2063212006
0.621850704.5859137250702.1696750597
0.631862333.5876760651099.2834422277
0.641874120.5644378351438.3754487649
0.651886059.8235435651744.68257437
0.661898147.7462298352015.8770622777
0.671910380.7499986152236.2019811004
0.681922755.3278826352393.335921457
0.691935271.4307330352489.1242283686
0.71947938.7397957852574.0973529386
0.711960783.2822600952731.9387068601
0.721973850.3549776753067.6037270236
0.731987199.8126157153657.3922305195
0.742000891.8913591554492.1160624838
0.752014965.3794402355442.4068916449
0.762029413.6783232256263.2076235146
0.772044166.3851301256653.1632442724
0.782059083.4371532456324.4287123096
0.792073965.9649455855085.41700818
0.82088584.264190652890.8050013977
0.812102720.0462560649858.8992983912
0.822116217.583775746284.4584624231
0.832129036.2600843642621.461644984
0.842141296.5453668239466.4892235664
0.852153315.772967637479.7857885863
0.862165640.5591912937326.5731430911
0.872179091.1789357139667.1694362544
0.882194819.7401845845269.2493878948
0.892214331.4536487854932.6512706452
0.92239344.9284330968808.459765215
0.912271351.3324359585341.0902515839
0.922310878.6678024100718.997473803
0.932356789.59243218109744.980637624
0.942406212.62686819108380.478120016
0.952455485.7413841196709.8628847586
0.962501639.4760008979421.9625189557
0.972543520.592198161556.7670690442
0.982582752.3951042546003.8132593203
0.992622244.4828577845647.1397213279


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):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')