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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, 12 Feb 2015 21:41:38 +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/2015/Feb/12/t1423777690daro8cokt2sfppw.htm/, Retrieved Wed, 08 May 2024 23:04:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277338, Retrieved Wed, 08 May 2024 23:04:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact62

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [] [2013-10-01 15:32:51] [a387b0b25480af4a4e9501f602e8d38d]
- R PD  [Harrell-Davis Quantiles] [] [2015-02-12 21:35:03] [f74af3e606ffe601bae5db8023a85a50]
- R         [Harrell-Davis Quantiles] [] [2015-02-12 21:41:38] [bad5dfd772bc354c7f8aa9414b1d4071] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1329
1385
1681
1591
1598
1557
1190
932
1664
1717
1567
1355
1430
1863
1868
1711
1873
2095
1379
1021
1999
2094
2026
1390
1744
2117
1823
1963
1816
1966
1309
1250
2184
2295
1870
1222
1640
2194
2179
1976
1850
2077
1658
1156
2400
2218
1802
1444
1804
1541
2206
1972
1815
1749
1492
1307
1916
2035
1855
1086
1951
1733
1868
1532
1894
1586
1247
1212
2119
1931
1649
1296
1625
1454
1562
1612
1648
1412
1219
1207
1614
1537
1497
1141
1135
1368
1203
1201
1190
1347
607
914
1606
1518
1120
910

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277338&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277338&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277338&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01717.089999772173200.730458773175
0.02839.561332823972105.97769315596
0.03921.21132838979876.0330833669538
0.04975.39804791640180.5356477303504
0.051019.4086415056282.6831689407389
0.061058.1070994694275.9577579233483
0.071090.9638609793364.5947934969453
0.081117.5557502737153.4203180519305
0.091138.628863422244.7505514403551
0.11155.4717018630938.6444788631005
0.111169.2974002463534.3167398962894
0.121181.031636952831.2424724020532
0.131191.3676821887629.4330633597037
0.141200.8830547677329.1818845597627
0.151210.1048527854330.654632160547
0.161219.5057108012433.668048799073
0.171229.460983322737.7173089021837
0.181240.2053271321942.1636647562991
0.191251.8136923889646.3945980930582
0.21264.214403917349.9214394984683
0.211277.2287866402152.4715132611041
0.221290.6248589556653.9840923171478
0.231304.1713148018554.6018567742018
0.241317.6806803958254.598951084086
0.251331.0352461999954.3192530201394
0.261344.1943391818354.0898976406505
0.271357.1854114778554.1712130315051
0.281370.0837154382554.7115172105878
0.291382.9861226802755.7275771959498
0.31395.9843880311957.1141574668382
0.311409.1423142132558.6748571791497
0.321422.4801025817360.1540141448356
0.331435.9677737686461.2997718689984
0.341449.5279754553361.8961116131173
0.351463.0469168675861.808047686142
0.361476.390839305260.9853687781124
0.371489.4246312591159.4782224748209
0.381502.0291149397757.4085506274566
0.391514.1141787913754.9559292093841
0.41525.626122063852.3188487419615
0.411536.5489860390349.6775081090604
0.421546.9009068210447.1909499764264
0.431556.7273436325144.9699743657236
0.441566.093273912843.0848444517601
0.451575.0761392227241.5720976287511
0.461583.7606534540.4463861922116
0.471592.235792074539.7263906668104
0.481600.5935930369139.426552342434
0.491608.9289585528939.5674643903019
0.51617.3394939411440.1661837517754
0.511625.9245145025841.2353761478429
0.521634.7826160908442.7704642458071
0.531644.0075595615744.7345910908818
0.541653.6826011252647.0624507803166
0.551663.8737621263349.6492398060581
0.561674.6228299231352.3525979297293
0.571685.9410727773655.0097826310716
0.581697.8046977382557.4372943921749
0.591710.152961221759.4539206135361
0.61722.8895657307660.8982955768156
0.611735.8875824445461.6387478920002
0.621748.9976934916461.5963382639118
0.631762.0591300451260.7445778617895
0.641774.9123721971259.1225413516195
0.651787.4125271625756.830517312437
0.661799.4423106323854.0268330577719
0.671810.9236439519150.9154818415616
0.681821.826914671747.7370163415315
0.691832.1768191618944.741621199649
0.71842.0534357751442.193976237594
0.711851.5870007610440.3238263606619
0.721860.9451891196839.2961264098047
0.731870.3129332158139.159198392172
0.741879.867016962339.8105466680345
0.751889.7503587458341.0085410930701
0.761900.0529418968242.4230602545696
0.771910.8064118249943.7293640911377
0.781921.9964693661544.7119428024705
0.791933.5914759113745.3230869226397
0.81945.5787458940845.7183909719702
0.811957.9946597952446.1878787948385
0.821970.9340762732647.0387004506344
0.831984.5304847941648.424547639682
0.841998.9102946795750.2256551902901
0.852014.1386547192852.0516963730299
0.862030.1833831290253.3934032631457
0.872046.9203199482153.8496464174189
0.882064.1835173915353.3251765749004
0.892081.8323168975752.0954786193418
0.92099.7832902564250.6033666912646
0.912117.9664761260549.0323984915854
0.922136.2314752581846.9811777637386
0.932154.3329629763743.7413566660311
0.942172.2025236302939.2409781959891
0.952190.6752482165635.310618554094
0.962212.6056561883436.52568203068
0.972243.7262743393947.5339832819098
0.982290.9453967832866.7748766560585
0.992352.4049697463988.1006144065704

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 717.089999772173 & 200.730458773175 \tabularnewline
0.02 & 839.561332823972 & 105.97769315596 \tabularnewline
0.03 & 921.211328389798 & 76.0330833669538 \tabularnewline
0.04 & 975.398047916401 & 80.5356477303504 \tabularnewline
0.05 & 1019.40864150562 & 82.6831689407389 \tabularnewline
0.06 & 1058.10709946942 & 75.9577579233483 \tabularnewline
0.07 & 1090.96386097933 & 64.5947934969453 \tabularnewline
0.08 & 1117.55575027371 & 53.4203180519305 \tabularnewline
0.09 & 1138.6288634222 & 44.7505514403551 \tabularnewline
0.1 & 1155.47170186309 & 38.6444788631005 \tabularnewline
0.11 & 1169.29740024635 & 34.3167398962894 \tabularnewline
0.12 & 1181.0316369528 & 31.2424724020532 \tabularnewline
0.13 & 1191.36768218876 & 29.4330633597037 \tabularnewline
0.14 & 1200.88305476773 & 29.1818845597627 \tabularnewline
0.15 & 1210.10485278543 & 30.654632160547 \tabularnewline
0.16 & 1219.50571080124 & 33.668048799073 \tabularnewline
0.17 & 1229.4609833227 & 37.7173089021837 \tabularnewline
0.18 & 1240.20532713219 & 42.1636647562991 \tabularnewline
0.19 & 1251.81369238896 & 46.3945980930582 \tabularnewline
0.2 & 1264.2144039173 & 49.9214394984683 \tabularnewline
0.21 & 1277.22878664021 & 52.4715132611041 \tabularnewline
0.22 & 1290.62485895566 & 53.9840923171478 \tabularnewline
0.23 & 1304.17131480185 & 54.6018567742018 \tabularnewline
0.24 & 1317.68068039582 & 54.598951084086 \tabularnewline
0.25 & 1331.03524619999 & 54.3192530201394 \tabularnewline
0.26 & 1344.19433918183 & 54.0898976406505 \tabularnewline
0.27 & 1357.18541147785 & 54.1712130315051 \tabularnewline
0.28 & 1370.08371543825 & 54.7115172105878 \tabularnewline
0.29 & 1382.98612268027 & 55.7275771959498 \tabularnewline
0.3 & 1395.98438803119 & 57.1141574668382 \tabularnewline
0.31 & 1409.14231421325 & 58.6748571791497 \tabularnewline
0.32 & 1422.48010258173 & 60.1540141448356 \tabularnewline
0.33 & 1435.96777376864 & 61.2997718689984 \tabularnewline
0.34 & 1449.52797545533 & 61.8961116131173 \tabularnewline
0.35 & 1463.04691686758 & 61.808047686142 \tabularnewline
0.36 & 1476.3908393052 & 60.9853687781124 \tabularnewline
0.37 & 1489.42463125911 & 59.4782224748209 \tabularnewline
0.38 & 1502.02911493977 & 57.4085506274566 \tabularnewline
0.39 & 1514.11417879137 & 54.9559292093841 \tabularnewline
0.4 & 1525.6261220638 & 52.3188487419615 \tabularnewline
0.41 & 1536.54898603903 & 49.6775081090604 \tabularnewline
0.42 & 1546.90090682104 & 47.1909499764264 \tabularnewline
0.43 & 1556.72734363251 & 44.9699743657236 \tabularnewline
0.44 & 1566.0932739128 & 43.0848444517601 \tabularnewline
0.45 & 1575.07613922272 & 41.5720976287511 \tabularnewline
0.46 & 1583.76065345 & 40.4463861922116 \tabularnewline
0.47 & 1592.2357920745 & 39.7263906668104 \tabularnewline
0.48 & 1600.59359303691 & 39.426552342434 \tabularnewline
0.49 & 1608.92895855289 & 39.5674643903019 \tabularnewline
0.5 & 1617.33949394114 & 40.1661837517754 \tabularnewline
0.51 & 1625.92451450258 & 41.2353761478429 \tabularnewline
0.52 & 1634.78261609084 & 42.7704642458071 \tabularnewline
0.53 & 1644.00755956157 & 44.7345910908818 \tabularnewline
0.54 & 1653.68260112526 & 47.0624507803166 \tabularnewline
0.55 & 1663.87376212633 & 49.6492398060581 \tabularnewline
0.56 & 1674.62282992313 & 52.3525979297293 \tabularnewline
0.57 & 1685.94107277736 & 55.0097826310716 \tabularnewline
0.58 & 1697.80469773825 & 57.4372943921749 \tabularnewline
0.59 & 1710.1529612217 & 59.4539206135361 \tabularnewline
0.6 & 1722.88956573076 & 60.8982955768156 \tabularnewline
0.61 & 1735.88758244454 & 61.6387478920002 \tabularnewline
0.62 & 1748.99769349164 & 61.5963382639118 \tabularnewline
0.63 & 1762.05913004512 & 60.7445778617895 \tabularnewline
0.64 & 1774.91237219712 & 59.1225413516195 \tabularnewline
0.65 & 1787.41252716257 & 56.830517312437 \tabularnewline
0.66 & 1799.44231063238 & 54.0268330577719 \tabularnewline
0.67 & 1810.92364395191 & 50.9154818415616 \tabularnewline
0.68 & 1821.8269146717 & 47.7370163415315 \tabularnewline
0.69 & 1832.17681916189 & 44.741621199649 \tabularnewline
0.7 & 1842.05343577514 & 42.193976237594 \tabularnewline
0.71 & 1851.58700076104 & 40.3238263606619 \tabularnewline
0.72 & 1860.94518911968 & 39.2961264098047 \tabularnewline
0.73 & 1870.31293321581 & 39.159198392172 \tabularnewline
0.74 & 1879.8670169623 & 39.8105466680345 \tabularnewline
0.75 & 1889.75035874583 & 41.0085410930701 \tabularnewline
0.76 & 1900.05294189682 & 42.4230602545696 \tabularnewline
0.77 & 1910.80641182499 & 43.7293640911377 \tabularnewline
0.78 & 1921.99646936615 & 44.7119428024705 \tabularnewline
0.79 & 1933.59147591137 & 45.3230869226397 \tabularnewline
0.8 & 1945.57874589408 & 45.7183909719702 \tabularnewline
0.81 & 1957.99465979524 & 46.1878787948385 \tabularnewline
0.82 & 1970.93407627326 & 47.0387004506344 \tabularnewline
0.83 & 1984.53048479416 & 48.424547639682 \tabularnewline
0.84 & 1998.91029467957 & 50.2256551902901 \tabularnewline
0.85 & 2014.13865471928 & 52.0516963730299 \tabularnewline
0.86 & 2030.18338312902 & 53.3934032631457 \tabularnewline
0.87 & 2046.92031994821 & 53.8496464174189 \tabularnewline
0.88 & 2064.18351739153 & 53.3251765749004 \tabularnewline
0.89 & 2081.83231689757 & 52.0954786193418 \tabularnewline
0.9 & 2099.78329025642 & 50.6033666912646 \tabularnewline
0.91 & 2117.96647612605 & 49.0323984915854 \tabularnewline
0.92 & 2136.23147525818 & 46.9811777637386 \tabularnewline
0.93 & 2154.33296297637 & 43.7413566660311 \tabularnewline
0.94 & 2172.20252363029 & 39.2409781959891 \tabularnewline
0.95 & 2190.67524821656 & 35.310618554094 \tabularnewline
0.96 & 2212.60565618834 & 36.52568203068 \tabularnewline
0.97 & 2243.72627433939 & 47.5339832819098 \tabularnewline
0.98 & 2290.94539678328 & 66.7748766560585 \tabularnewline
0.99 & 2352.40496974639 & 88.1006144065704 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277338&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]717.089999772173[/C][C]200.730458773175[/C][/ROW]
[ROW][C]0.02[/C][C]839.561332823972[/C][C]105.97769315596[/C][/ROW]
[ROW][C]0.03[/C][C]921.211328389798[/C][C]76.0330833669538[/C][/ROW]
[ROW][C]0.04[/C][C]975.398047916401[/C][C]80.5356477303504[/C][/ROW]
[ROW][C]0.05[/C][C]1019.40864150562[/C][C]82.6831689407389[/C][/ROW]
[ROW][C]0.06[/C][C]1058.10709946942[/C][C]75.9577579233483[/C][/ROW]
[ROW][C]0.07[/C][C]1090.96386097933[/C][C]64.5947934969453[/C][/ROW]
[ROW][C]0.08[/C][C]1117.55575027371[/C][C]53.4203180519305[/C][/ROW]
[ROW][C]0.09[/C][C]1138.6288634222[/C][C]44.7505514403551[/C][/ROW]
[ROW][C]0.1[/C][C]1155.47170186309[/C][C]38.6444788631005[/C][/ROW]
[ROW][C]0.11[/C][C]1169.29740024635[/C][C]34.3167398962894[/C][/ROW]
[ROW][C]0.12[/C][C]1181.0316369528[/C][C]31.2424724020532[/C][/ROW]
[ROW][C]0.13[/C][C]1191.36768218876[/C][C]29.4330633597037[/C][/ROW]
[ROW][C]0.14[/C][C]1200.88305476773[/C][C]29.1818845597627[/C][/ROW]
[ROW][C]0.15[/C][C]1210.10485278543[/C][C]30.654632160547[/C][/ROW]
[ROW][C]0.16[/C][C]1219.50571080124[/C][C]33.668048799073[/C][/ROW]
[ROW][C]0.17[/C][C]1229.4609833227[/C][C]37.7173089021837[/C][/ROW]
[ROW][C]0.18[/C][C]1240.20532713219[/C][C]42.1636647562991[/C][/ROW]
[ROW][C]0.19[/C][C]1251.81369238896[/C][C]46.3945980930582[/C][/ROW]
[ROW][C]0.2[/C][C]1264.2144039173[/C][C]49.9214394984683[/C][/ROW]
[ROW][C]0.21[/C][C]1277.22878664021[/C][C]52.4715132611041[/C][/ROW]
[ROW][C]0.22[/C][C]1290.62485895566[/C][C]53.9840923171478[/C][/ROW]
[ROW][C]0.23[/C][C]1304.17131480185[/C][C]54.6018567742018[/C][/ROW]
[ROW][C]0.24[/C][C]1317.68068039582[/C][C]54.598951084086[/C][/ROW]
[ROW][C]0.25[/C][C]1331.03524619999[/C][C]54.3192530201394[/C][/ROW]
[ROW][C]0.26[/C][C]1344.19433918183[/C][C]54.0898976406505[/C][/ROW]
[ROW][C]0.27[/C][C]1357.18541147785[/C][C]54.1712130315051[/C][/ROW]
[ROW][C]0.28[/C][C]1370.08371543825[/C][C]54.7115172105878[/C][/ROW]
[ROW][C]0.29[/C][C]1382.98612268027[/C][C]55.7275771959498[/C][/ROW]
[ROW][C]0.3[/C][C]1395.98438803119[/C][C]57.1141574668382[/C][/ROW]
[ROW][C]0.31[/C][C]1409.14231421325[/C][C]58.6748571791497[/C][/ROW]
[ROW][C]0.32[/C][C]1422.48010258173[/C][C]60.1540141448356[/C][/ROW]
[ROW][C]0.33[/C][C]1435.96777376864[/C][C]61.2997718689984[/C][/ROW]
[ROW][C]0.34[/C][C]1449.52797545533[/C][C]61.8961116131173[/C][/ROW]
[ROW][C]0.35[/C][C]1463.04691686758[/C][C]61.808047686142[/C][/ROW]
[ROW][C]0.36[/C][C]1476.3908393052[/C][C]60.9853687781124[/C][/ROW]
[ROW][C]0.37[/C][C]1489.42463125911[/C][C]59.4782224748209[/C][/ROW]
[ROW][C]0.38[/C][C]1502.02911493977[/C][C]57.4085506274566[/C][/ROW]
[ROW][C]0.39[/C][C]1514.11417879137[/C][C]54.9559292093841[/C][/ROW]
[ROW][C]0.4[/C][C]1525.6261220638[/C][C]52.3188487419615[/C][/ROW]
[ROW][C]0.41[/C][C]1536.54898603903[/C][C]49.6775081090604[/C][/ROW]
[ROW][C]0.42[/C][C]1546.90090682104[/C][C]47.1909499764264[/C][/ROW]
[ROW][C]0.43[/C][C]1556.72734363251[/C][C]44.9699743657236[/C][/ROW]
[ROW][C]0.44[/C][C]1566.0932739128[/C][C]43.0848444517601[/C][/ROW]
[ROW][C]0.45[/C][C]1575.07613922272[/C][C]41.5720976287511[/C][/ROW]
[ROW][C]0.46[/C][C]1583.76065345[/C][C]40.4463861922116[/C][/ROW]
[ROW][C]0.47[/C][C]1592.2357920745[/C][C]39.7263906668104[/C][/ROW]
[ROW][C]0.48[/C][C]1600.59359303691[/C][C]39.426552342434[/C][/ROW]
[ROW][C]0.49[/C][C]1608.92895855289[/C][C]39.5674643903019[/C][/ROW]
[ROW][C]0.5[/C][C]1617.33949394114[/C][C]40.1661837517754[/C][/ROW]
[ROW][C]0.51[/C][C]1625.92451450258[/C][C]41.2353761478429[/C][/ROW]
[ROW][C]0.52[/C][C]1634.78261609084[/C][C]42.7704642458071[/C][/ROW]
[ROW][C]0.53[/C][C]1644.00755956157[/C][C]44.7345910908818[/C][/ROW]
[ROW][C]0.54[/C][C]1653.68260112526[/C][C]47.0624507803166[/C][/ROW]
[ROW][C]0.55[/C][C]1663.87376212633[/C][C]49.6492398060581[/C][/ROW]
[ROW][C]0.56[/C][C]1674.62282992313[/C][C]52.3525979297293[/C][/ROW]
[ROW][C]0.57[/C][C]1685.94107277736[/C][C]55.0097826310716[/C][/ROW]
[ROW][C]0.58[/C][C]1697.80469773825[/C][C]57.4372943921749[/C][/ROW]
[ROW][C]0.59[/C][C]1710.1529612217[/C][C]59.4539206135361[/C][/ROW]
[ROW][C]0.6[/C][C]1722.88956573076[/C][C]60.8982955768156[/C][/ROW]
[ROW][C]0.61[/C][C]1735.88758244454[/C][C]61.6387478920002[/C][/ROW]
[ROW][C]0.62[/C][C]1748.99769349164[/C][C]61.5963382639118[/C][/ROW]
[ROW][C]0.63[/C][C]1762.05913004512[/C][C]60.7445778617895[/C][/ROW]
[ROW][C]0.64[/C][C]1774.91237219712[/C][C]59.1225413516195[/C][/ROW]
[ROW][C]0.65[/C][C]1787.41252716257[/C][C]56.830517312437[/C][/ROW]
[ROW][C]0.66[/C][C]1799.44231063238[/C][C]54.0268330577719[/C][/ROW]
[ROW][C]0.67[/C][C]1810.92364395191[/C][C]50.9154818415616[/C][/ROW]
[ROW][C]0.68[/C][C]1821.8269146717[/C][C]47.7370163415315[/C][/ROW]
[ROW][C]0.69[/C][C]1832.17681916189[/C][C]44.741621199649[/C][/ROW]
[ROW][C]0.7[/C][C]1842.05343577514[/C][C]42.193976237594[/C][/ROW]
[ROW][C]0.71[/C][C]1851.58700076104[/C][C]40.3238263606619[/C][/ROW]
[ROW][C]0.72[/C][C]1860.94518911968[/C][C]39.2961264098047[/C][/ROW]
[ROW][C]0.73[/C][C]1870.31293321581[/C][C]39.159198392172[/C][/ROW]
[ROW][C]0.74[/C][C]1879.8670169623[/C][C]39.8105466680345[/C][/ROW]
[ROW][C]0.75[/C][C]1889.75035874583[/C][C]41.0085410930701[/C][/ROW]
[ROW][C]0.76[/C][C]1900.05294189682[/C][C]42.4230602545696[/C][/ROW]
[ROW][C]0.77[/C][C]1910.80641182499[/C][C]43.7293640911377[/C][/ROW]
[ROW][C]0.78[/C][C]1921.99646936615[/C][C]44.7119428024705[/C][/ROW]
[ROW][C]0.79[/C][C]1933.59147591137[/C][C]45.3230869226397[/C][/ROW]
[ROW][C]0.8[/C][C]1945.57874589408[/C][C]45.7183909719702[/C][/ROW]
[ROW][C]0.81[/C][C]1957.99465979524[/C][C]46.1878787948385[/C][/ROW]
[ROW][C]0.82[/C][C]1970.93407627326[/C][C]47.0387004506344[/C][/ROW]
[ROW][C]0.83[/C][C]1984.53048479416[/C][C]48.424547639682[/C][/ROW]
[ROW][C]0.84[/C][C]1998.91029467957[/C][C]50.2256551902901[/C][/ROW]
[ROW][C]0.85[/C][C]2014.13865471928[/C][C]52.0516963730299[/C][/ROW]
[ROW][C]0.86[/C][C]2030.18338312902[/C][C]53.3934032631457[/C][/ROW]
[ROW][C]0.87[/C][C]2046.92031994821[/C][C]53.8496464174189[/C][/ROW]
[ROW][C]0.88[/C][C]2064.18351739153[/C][C]53.3251765749004[/C][/ROW]
[ROW][C]0.89[/C][C]2081.83231689757[/C][C]52.0954786193418[/C][/ROW]
[ROW][C]0.9[/C][C]2099.78329025642[/C][C]50.6033666912646[/C][/ROW]
[ROW][C]0.91[/C][C]2117.96647612605[/C][C]49.0323984915854[/C][/ROW]
[ROW][C]0.92[/C][C]2136.23147525818[/C][C]46.9811777637386[/C][/ROW]
[ROW][C]0.93[/C][C]2154.33296297637[/C][C]43.7413566660311[/C][/ROW]
[ROW][C]0.94[/C][C]2172.20252363029[/C][C]39.2409781959891[/C][/ROW]
[ROW][C]0.95[/C][C]2190.67524821656[/C][C]35.310618554094[/C][/ROW]
[ROW][C]0.96[/C][C]2212.60565618834[/C][C]36.52568203068[/C][/ROW]
[ROW][C]0.97[/C][C]2243.72627433939[/C][C]47.5339832819098[/C][/ROW]
[ROW][C]0.98[/C][C]2290.94539678328[/C][C]66.7748766560585[/C][/ROW]
[ROW][C]0.99[/C][C]2352.40496974639[/C][C]88.1006144065704[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277338&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277338&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
0.01717.089999772173200.730458773175
0.02839.561332823972105.97769315596
0.03921.21132838979876.0330833669538
0.04975.39804791640180.5356477303504
0.051019.4086415056282.6831689407389
0.061058.1070994694275.9577579233483
0.071090.9638609793364.5947934969453
0.081117.5557502737153.4203180519305
0.091138.628863422244.7505514403551
0.11155.4717018630938.6444788631005
0.111169.2974002463534.3167398962894
0.121181.031636952831.2424724020532
0.131191.3676821887629.4330633597037
0.141200.8830547677329.1818845597627
0.151210.1048527854330.654632160547
0.161219.5057108012433.668048799073
0.171229.460983322737.7173089021837
0.181240.2053271321942.1636647562991
0.191251.8136923889646.3945980930582
0.21264.214403917349.9214394984683
0.211277.2287866402152.4715132611041
0.221290.6248589556653.9840923171478
0.231304.1713148018554.6018567742018
0.241317.6806803958254.598951084086
0.251331.0352461999954.3192530201394
0.261344.1943391818354.0898976406505
0.271357.1854114778554.1712130315051
0.281370.0837154382554.7115172105878
0.291382.9861226802755.7275771959498
0.31395.9843880311957.1141574668382
0.311409.1423142132558.6748571791497
0.321422.4801025817360.1540141448356
0.331435.9677737686461.2997718689984
0.341449.5279754553361.8961116131173
0.351463.0469168675861.808047686142
0.361476.390839305260.9853687781124
0.371489.4246312591159.4782224748209
0.381502.0291149397757.4085506274566
0.391514.1141787913754.9559292093841
0.41525.626122063852.3188487419615
0.411536.5489860390349.6775081090604
0.421546.9009068210447.1909499764264
0.431556.7273436325144.9699743657236
0.441566.093273912843.0848444517601
0.451575.0761392227241.5720976287511
0.461583.7606534540.4463861922116
0.471592.235792074539.7263906668104
0.481600.5935930369139.426552342434
0.491608.9289585528939.5674643903019
0.51617.3394939411440.1661837517754
0.511625.9245145025841.2353761478429
0.521634.7826160908442.7704642458071
0.531644.0075595615744.7345910908818
0.541653.6826011252647.0624507803166
0.551663.8737621263349.6492398060581
0.561674.6228299231352.3525979297293
0.571685.9410727773655.0097826310716
0.581697.8046977382557.4372943921749
0.591710.152961221759.4539206135361
0.61722.8895657307660.8982955768156
0.611735.8875824445461.6387478920002
0.621748.9976934916461.5963382639118
0.631762.0591300451260.7445778617895
0.641774.9123721971259.1225413516195
0.651787.4125271625756.830517312437
0.661799.4423106323854.0268330577719
0.671810.9236439519150.9154818415616
0.681821.826914671747.7370163415315
0.691832.1768191618944.741621199649
0.71842.0534357751442.193976237594
0.711851.5870007610440.3238263606619
0.721860.9451891196839.2961264098047
0.731870.3129332158139.159198392172
0.741879.867016962339.8105466680345
0.751889.7503587458341.0085410930701
0.761900.0529418968242.4230602545696
0.771910.8064118249943.7293640911377
0.781921.9964693661544.7119428024705
0.791933.5914759113745.3230869226397
0.81945.5787458940845.7183909719702
0.811957.9946597952446.1878787948385
0.821970.9340762732647.0387004506344
0.831984.5304847941648.424547639682
0.841998.9102946795750.2256551902901
0.852014.1386547192852.0516963730299
0.862030.1833831290253.3934032631457
0.872046.9203199482153.8496464174189
0.882064.1835173915353.3251765749004
0.892081.8323168975752.0954786193418
0.92099.7832902564250.6033666912646
0.912117.9664761260549.0323984915854
0.922136.2314752581846.9811777637386
0.932154.3329629763743.7413566660311
0.942172.2025236302939.2409781959891
0.952190.6752482165635.310618554094
0.962212.6056561883436.52568203068
0.972243.7262743393947.5339832819098
0.982290.9453967832866.7748766560585
0.992352.4049697463988.1006144065704


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.9 ;
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')