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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 16 Oct 2009 04:40:19 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/16/t1255692457w3d2cqbwhdvzy1t.htm/, Retrieved Tue, 30 Apr 2024 04:36:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=46964, Retrieved Tue, 30 Apr 2024 04:36:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsW3 harrell
Estimated Impact114

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] [Workshop 2 ] [2009-10-08 16:59:47] [315ba876df544ad397193b5931d5f354]
- RMPD    [Harrell-Davis Quantiles] [W3 harrell] [2009-10-16 10:40:19] [950726a732ba3ca782ecb1a5307d0f6f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1129.7
2140.4
2665.1
2318.1
1292.8
2135.9
1846.3
2217.5
2349.8
1790.8
2222.6
2525.7
1425.4
1903.5
2434.1
1444.6
207.9
1552.3
1420.7
1543.5
1724.8
2180.9
3136.5
1926.9
1202.5
2211.2
2510
1746.6
1544.8
2686.8
2170
2294.6
2378.3
2588.9
3072.9
2468.1
1971
2565.9
2348.6
1945.2
286.7
2394.4
2211.9
1979.7
2131.6
2393.3
2196.6
2498.5
1597.3
2674.8
2427.6
1243.7
1155.3
2119.2
2009.4
1755.2
1828.7
1915.8
1826.3
2066.7

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' @ 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46964&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46964&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46964&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01273.897036349441211.145933434887
0.02401.178157537484359.373951387172
0.03567.191495586364425.273170648434
0.04740.066122317355400.980439735877
0.05894.555193518619326.370200258094
0.061018.71463608805244.523296227416
0.071112.28010602616181.037054855428
0.081181.42979152213143.109895724223
0.091233.92239046649125.821900742511
0.11276.28192563636120.057262921131
0.111312.90824435444118.748948000603
0.121346.3086483277118.303621212779
0.131377.71474748988117.478409849988
0.141407.66455704869116.216506898435
0.151436.40089767645114.925240023151
0.161464.08594650780114.060309734061
0.171490.88487832154113.907312437544
0.181516.97495788825114.509159873123
0.191542.52243999262115.675835061393
0.21567.65376194897117.065838780828
0.211592.43498112503118.261652490377
0.221616.86483711129118.873062519771
0.231640.88141240683118.603322567715
0.241664.37922745142117.299023105083
0.251687.23209975811114.962681127997
0.261709.31683431222111.733641423348
0.271730.53351356048107.858867502027
0.281750.81952406195103.643367188422
0.291770.1561339337899.388616885152
0.31788.5680357984795.3602890861351
0.311806.1174677702491.7592255640755
0.321822.89513064388.7100483273806
0.331839.0101143240286.2676982778867
0.341854.5805627335684.4431861303158
0.351869.7260661774483.2140720698187
0.361884.5620123132582.5460911862948
0.371899.1955435626582.3955909076967
0.381913.7224688119782.7139359103961
0.391928.2244769207983.4331027166337
0.41942.7662378788484.462234570052
0.411957.3923447237285.6821704301171
0.421972.1244207409286.9438053549499
0.431986.9589827932188.0743893794771
0.442001.8667419494088.8983064375181
0.452016.7939160847389.2500262891785
0.462031.6658550464288.999237628773
0.472046.3929057384188.0591834934735
0.482060.8780608347486.4091197981902
0.492075.0256274510784.082026621355
0.52088.7499848070281.1728345059844
0.512101.9834994912277.8312454099391
0.522114.6828190090374.2343580898205
0.532126.8330200396370.5852017326131
0.542138.4493796976667.0860453958141
0.552149.5767998519363.9292142750896
0.562160.2870999518261.2809394907182
0.572170.6744883317259.2807430510646
0.582180.8495441474158.022321218761
0.592190.9320340684357.5500153001518
0.62201.0428979762457.8529264487299
0.612211.2958011691258.8497702571997
0.622221.7887730454160.4172632781837
0.632232.5966052632962.3692341346644
0.642243.764808831264.4800731143091
0.652255.3059610286466.520031611807
0.662267.1991528039468.2615472196103
0.672279.3929521292669.5214317015664
0.682291.8118521472370.161792564677
0.692304.3656447405270.1227030239352
0.72316.9606527024969.4139667213837
0.712329.5113775580568.1280454382955
0.722341.9509671183966.4165731526089
0.732354.2390281251564.4748745245853
0.742366.3657037266262.5100503290917
0.752378.3515503699560.7112701165845
0.762390.2434896502759.2337572185084
0.772402.1078554661258.1592972738203
0.782414.0221683713357.5071893533453
0.792426.0676069529357.231304886675
0.82438.3240814665757.2512410156633
0.812450.8692563561357.4777328825127
0.822463.7818089323557.857614982015
0.832477.1478055342458.3850675552706
0.842491.0677452913959.1211793810177
0.852505.6613730483760.1605953576475
0.862521.0690546212761.5866257341064
0.872537.4538624034863.4123634718691
0.882555.0184988332165.5494449680612
0.892574.0641477315167.8829676936669
0.92595.12651019970.5230737542071
0.912619.2100827995174.3341940746221
0.922648.0792714427681.6706323831668
0.932684.4365545261696.5234976147875
0.942731.65432060399122.269892506496
0.952792.65733527523157.090703086363
0.962867.80276394470190.264001677792
0.972952.34724646441202.729851859406
0.983035.14005916775176.608777155176
0.993100.77685928380115.633929621529

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 273.897036349441 & 211.145933434887 \tabularnewline
0.02 & 401.178157537484 & 359.373951387172 \tabularnewline
0.03 & 567.191495586364 & 425.273170648434 \tabularnewline
0.04 & 740.066122317355 & 400.980439735877 \tabularnewline
0.05 & 894.555193518619 & 326.370200258094 \tabularnewline
0.06 & 1018.71463608805 & 244.523296227416 \tabularnewline
0.07 & 1112.28010602616 & 181.037054855428 \tabularnewline
0.08 & 1181.42979152213 & 143.109895724223 \tabularnewline
0.09 & 1233.92239046649 & 125.821900742511 \tabularnewline
0.1 & 1276.28192563636 & 120.057262921131 \tabularnewline
0.11 & 1312.90824435444 & 118.748948000603 \tabularnewline
0.12 & 1346.3086483277 & 118.303621212779 \tabularnewline
0.13 & 1377.71474748988 & 117.478409849988 \tabularnewline
0.14 & 1407.66455704869 & 116.216506898435 \tabularnewline
0.15 & 1436.40089767645 & 114.925240023151 \tabularnewline
0.16 & 1464.08594650780 & 114.060309734061 \tabularnewline
0.17 & 1490.88487832154 & 113.907312437544 \tabularnewline
0.18 & 1516.97495788825 & 114.509159873123 \tabularnewline
0.19 & 1542.52243999262 & 115.675835061393 \tabularnewline
0.2 & 1567.65376194897 & 117.065838780828 \tabularnewline
0.21 & 1592.43498112503 & 118.261652490377 \tabularnewline
0.22 & 1616.86483711129 & 118.873062519771 \tabularnewline
0.23 & 1640.88141240683 & 118.603322567715 \tabularnewline
0.24 & 1664.37922745142 & 117.299023105083 \tabularnewline
0.25 & 1687.23209975811 & 114.962681127997 \tabularnewline
0.26 & 1709.31683431222 & 111.733641423348 \tabularnewline
0.27 & 1730.53351356048 & 107.858867502027 \tabularnewline
0.28 & 1750.81952406195 & 103.643367188422 \tabularnewline
0.29 & 1770.15613393378 & 99.388616885152 \tabularnewline
0.3 & 1788.56803579847 & 95.3602890861351 \tabularnewline
0.31 & 1806.11746777024 & 91.7592255640755 \tabularnewline
0.32 & 1822.895130643 & 88.7100483273806 \tabularnewline
0.33 & 1839.01011432402 & 86.2676982778867 \tabularnewline
0.34 & 1854.58056273356 & 84.4431861303158 \tabularnewline
0.35 & 1869.72606617744 & 83.2140720698187 \tabularnewline
0.36 & 1884.56201231325 & 82.5460911862948 \tabularnewline
0.37 & 1899.19554356265 & 82.3955909076967 \tabularnewline
0.38 & 1913.72246881197 & 82.7139359103961 \tabularnewline
0.39 & 1928.22447692079 & 83.4331027166337 \tabularnewline
0.4 & 1942.76623787884 & 84.462234570052 \tabularnewline
0.41 & 1957.39234472372 & 85.6821704301171 \tabularnewline
0.42 & 1972.12442074092 & 86.9438053549499 \tabularnewline
0.43 & 1986.95898279321 & 88.0743893794771 \tabularnewline
0.44 & 2001.86674194940 & 88.8983064375181 \tabularnewline
0.45 & 2016.79391608473 & 89.2500262891785 \tabularnewline
0.46 & 2031.66585504642 & 88.999237628773 \tabularnewline
0.47 & 2046.39290573841 & 88.0591834934735 \tabularnewline
0.48 & 2060.87806083474 & 86.4091197981902 \tabularnewline
0.49 & 2075.02562745107 & 84.082026621355 \tabularnewline
0.5 & 2088.74998480702 & 81.1728345059844 \tabularnewline
0.51 & 2101.98349949122 & 77.8312454099391 \tabularnewline
0.52 & 2114.68281900903 & 74.2343580898205 \tabularnewline
0.53 & 2126.83302003963 & 70.5852017326131 \tabularnewline
0.54 & 2138.44937969766 & 67.0860453958141 \tabularnewline
0.55 & 2149.57679985193 & 63.9292142750896 \tabularnewline
0.56 & 2160.28709995182 & 61.2809394907182 \tabularnewline
0.57 & 2170.67448833172 & 59.2807430510646 \tabularnewline
0.58 & 2180.84954414741 & 58.022321218761 \tabularnewline
0.59 & 2190.93203406843 & 57.5500153001518 \tabularnewline
0.6 & 2201.04289797624 & 57.8529264487299 \tabularnewline
0.61 & 2211.29580116912 & 58.8497702571997 \tabularnewline
0.62 & 2221.78877304541 & 60.4172632781837 \tabularnewline
0.63 & 2232.59660526329 & 62.3692341346644 \tabularnewline
0.64 & 2243.7648088312 & 64.4800731143091 \tabularnewline
0.65 & 2255.30596102864 & 66.520031611807 \tabularnewline
0.66 & 2267.19915280394 & 68.2615472196103 \tabularnewline
0.67 & 2279.39295212926 & 69.5214317015664 \tabularnewline
0.68 & 2291.81185214723 & 70.161792564677 \tabularnewline
0.69 & 2304.36564474052 & 70.1227030239352 \tabularnewline
0.7 & 2316.96065270249 & 69.4139667213837 \tabularnewline
0.71 & 2329.51137755805 & 68.1280454382955 \tabularnewline
0.72 & 2341.95096711839 & 66.4165731526089 \tabularnewline
0.73 & 2354.23902812515 & 64.4748745245853 \tabularnewline
0.74 & 2366.36570372662 & 62.5100503290917 \tabularnewline
0.75 & 2378.35155036995 & 60.7112701165845 \tabularnewline
0.76 & 2390.24348965027 & 59.2337572185084 \tabularnewline
0.77 & 2402.10785546612 & 58.1592972738203 \tabularnewline
0.78 & 2414.02216837133 & 57.5071893533453 \tabularnewline
0.79 & 2426.06760695293 & 57.231304886675 \tabularnewline
0.8 & 2438.32408146657 & 57.2512410156633 \tabularnewline
0.81 & 2450.86925635613 & 57.4777328825127 \tabularnewline
0.82 & 2463.78180893235 & 57.857614982015 \tabularnewline
0.83 & 2477.14780553424 & 58.3850675552706 \tabularnewline
0.84 & 2491.06774529139 & 59.1211793810177 \tabularnewline
0.85 & 2505.66137304837 & 60.1605953576475 \tabularnewline
0.86 & 2521.06905462127 & 61.5866257341064 \tabularnewline
0.87 & 2537.45386240348 & 63.4123634718691 \tabularnewline
0.88 & 2555.01849883321 & 65.5494449680612 \tabularnewline
0.89 & 2574.06414773151 & 67.8829676936669 \tabularnewline
0.9 & 2595.126510199 & 70.5230737542071 \tabularnewline
0.91 & 2619.21008279951 & 74.3341940746221 \tabularnewline
0.92 & 2648.07927144276 & 81.6706323831668 \tabularnewline
0.93 & 2684.43655452616 & 96.5234976147875 \tabularnewline
0.94 & 2731.65432060399 & 122.269892506496 \tabularnewline
0.95 & 2792.65733527523 & 157.090703086363 \tabularnewline
0.96 & 2867.80276394470 & 190.264001677792 \tabularnewline
0.97 & 2952.34724646441 & 202.729851859406 \tabularnewline
0.98 & 3035.14005916775 & 176.608777155176 \tabularnewline
0.99 & 3100.77685928380 & 115.633929621529 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46964&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]273.897036349441[/C][C]211.145933434887[/C][/ROW]
[ROW][C]0.02[/C][C]401.178157537484[/C][C]359.373951387172[/C][/ROW]
[ROW][C]0.03[/C][C]567.191495586364[/C][C]425.273170648434[/C][/ROW]
[ROW][C]0.04[/C][C]740.066122317355[/C][C]400.980439735877[/C][/ROW]
[ROW][C]0.05[/C][C]894.555193518619[/C][C]326.370200258094[/C][/ROW]
[ROW][C]0.06[/C][C]1018.71463608805[/C][C]244.523296227416[/C][/ROW]
[ROW][C]0.07[/C][C]1112.28010602616[/C][C]181.037054855428[/C][/ROW]
[ROW][C]0.08[/C][C]1181.42979152213[/C][C]143.109895724223[/C][/ROW]
[ROW][C]0.09[/C][C]1233.92239046649[/C][C]125.821900742511[/C][/ROW]
[ROW][C]0.1[/C][C]1276.28192563636[/C][C]120.057262921131[/C][/ROW]
[ROW][C]0.11[/C][C]1312.90824435444[/C][C]118.748948000603[/C][/ROW]
[ROW][C]0.12[/C][C]1346.3086483277[/C][C]118.303621212779[/C][/ROW]
[ROW][C]0.13[/C][C]1377.71474748988[/C][C]117.478409849988[/C][/ROW]
[ROW][C]0.14[/C][C]1407.66455704869[/C][C]116.216506898435[/C][/ROW]
[ROW][C]0.15[/C][C]1436.40089767645[/C][C]114.925240023151[/C][/ROW]
[ROW][C]0.16[/C][C]1464.08594650780[/C][C]114.060309734061[/C][/ROW]
[ROW][C]0.17[/C][C]1490.88487832154[/C][C]113.907312437544[/C][/ROW]
[ROW][C]0.18[/C][C]1516.97495788825[/C][C]114.509159873123[/C][/ROW]
[ROW][C]0.19[/C][C]1542.52243999262[/C][C]115.675835061393[/C][/ROW]
[ROW][C]0.2[/C][C]1567.65376194897[/C][C]117.065838780828[/C][/ROW]
[ROW][C]0.21[/C][C]1592.43498112503[/C][C]118.261652490377[/C][/ROW]
[ROW][C]0.22[/C][C]1616.86483711129[/C][C]118.873062519771[/C][/ROW]
[ROW][C]0.23[/C][C]1640.88141240683[/C][C]118.603322567715[/C][/ROW]
[ROW][C]0.24[/C][C]1664.37922745142[/C][C]117.299023105083[/C][/ROW]
[ROW][C]0.25[/C][C]1687.23209975811[/C][C]114.962681127997[/C][/ROW]
[ROW][C]0.26[/C][C]1709.31683431222[/C][C]111.733641423348[/C][/ROW]
[ROW][C]0.27[/C][C]1730.53351356048[/C][C]107.858867502027[/C][/ROW]
[ROW][C]0.28[/C][C]1750.81952406195[/C][C]103.643367188422[/C][/ROW]
[ROW][C]0.29[/C][C]1770.15613393378[/C][C]99.388616885152[/C][/ROW]
[ROW][C]0.3[/C][C]1788.56803579847[/C][C]95.3602890861351[/C][/ROW]
[ROW][C]0.31[/C][C]1806.11746777024[/C][C]91.7592255640755[/C][/ROW]
[ROW][C]0.32[/C][C]1822.895130643[/C][C]88.7100483273806[/C][/ROW]
[ROW][C]0.33[/C][C]1839.01011432402[/C][C]86.2676982778867[/C][/ROW]
[ROW][C]0.34[/C][C]1854.58056273356[/C][C]84.4431861303158[/C][/ROW]
[ROW][C]0.35[/C][C]1869.72606617744[/C][C]83.2140720698187[/C][/ROW]
[ROW][C]0.36[/C][C]1884.56201231325[/C][C]82.5460911862948[/C][/ROW]
[ROW][C]0.37[/C][C]1899.19554356265[/C][C]82.3955909076967[/C][/ROW]
[ROW][C]0.38[/C][C]1913.72246881197[/C][C]82.7139359103961[/C][/ROW]
[ROW][C]0.39[/C][C]1928.22447692079[/C][C]83.4331027166337[/C][/ROW]
[ROW][C]0.4[/C][C]1942.76623787884[/C][C]84.462234570052[/C][/ROW]
[ROW][C]0.41[/C][C]1957.39234472372[/C][C]85.6821704301171[/C][/ROW]
[ROW][C]0.42[/C][C]1972.12442074092[/C][C]86.9438053549499[/C][/ROW]
[ROW][C]0.43[/C][C]1986.95898279321[/C][C]88.0743893794771[/C][/ROW]
[ROW][C]0.44[/C][C]2001.86674194940[/C][C]88.8983064375181[/C][/ROW]
[ROW][C]0.45[/C][C]2016.79391608473[/C][C]89.2500262891785[/C][/ROW]
[ROW][C]0.46[/C][C]2031.66585504642[/C][C]88.999237628773[/C][/ROW]
[ROW][C]0.47[/C][C]2046.39290573841[/C][C]88.0591834934735[/C][/ROW]
[ROW][C]0.48[/C][C]2060.87806083474[/C][C]86.4091197981902[/C][/ROW]
[ROW][C]0.49[/C][C]2075.02562745107[/C][C]84.082026621355[/C][/ROW]
[ROW][C]0.5[/C][C]2088.74998480702[/C][C]81.1728345059844[/C][/ROW]
[ROW][C]0.51[/C][C]2101.98349949122[/C][C]77.8312454099391[/C][/ROW]
[ROW][C]0.52[/C][C]2114.68281900903[/C][C]74.2343580898205[/C][/ROW]
[ROW][C]0.53[/C][C]2126.83302003963[/C][C]70.5852017326131[/C][/ROW]
[ROW][C]0.54[/C][C]2138.44937969766[/C][C]67.0860453958141[/C][/ROW]
[ROW][C]0.55[/C][C]2149.57679985193[/C][C]63.9292142750896[/C][/ROW]
[ROW][C]0.56[/C][C]2160.28709995182[/C][C]61.2809394907182[/C][/ROW]
[ROW][C]0.57[/C][C]2170.67448833172[/C][C]59.2807430510646[/C][/ROW]
[ROW][C]0.58[/C][C]2180.84954414741[/C][C]58.022321218761[/C][/ROW]
[ROW][C]0.59[/C][C]2190.93203406843[/C][C]57.5500153001518[/C][/ROW]
[ROW][C]0.6[/C][C]2201.04289797624[/C][C]57.8529264487299[/C][/ROW]
[ROW][C]0.61[/C][C]2211.29580116912[/C][C]58.8497702571997[/C][/ROW]
[ROW][C]0.62[/C][C]2221.78877304541[/C][C]60.4172632781837[/C][/ROW]
[ROW][C]0.63[/C][C]2232.59660526329[/C][C]62.3692341346644[/C][/ROW]
[ROW][C]0.64[/C][C]2243.7648088312[/C][C]64.4800731143091[/C][/ROW]
[ROW][C]0.65[/C][C]2255.30596102864[/C][C]66.520031611807[/C][/ROW]
[ROW][C]0.66[/C][C]2267.19915280394[/C][C]68.2615472196103[/C][/ROW]
[ROW][C]0.67[/C][C]2279.39295212926[/C][C]69.5214317015664[/C][/ROW]
[ROW][C]0.68[/C][C]2291.81185214723[/C][C]70.161792564677[/C][/ROW]
[ROW][C]0.69[/C][C]2304.36564474052[/C][C]70.1227030239352[/C][/ROW]
[ROW][C]0.7[/C][C]2316.96065270249[/C][C]69.4139667213837[/C][/ROW]
[ROW][C]0.71[/C][C]2329.51137755805[/C][C]68.1280454382955[/C][/ROW]
[ROW][C]0.72[/C][C]2341.95096711839[/C][C]66.4165731526089[/C][/ROW]
[ROW][C]0.73[/C][C]2354.23902812515[/C][C]64.4748745245853[/C][/ROW]
[ROW][C]0.74[/C][C]2366.36570372662[/C][C]62.5100503290917[/C][/ROW]
[ROW][C]0.75[/C][C]2378.35155036995[/C][C]60.7112701165845[/C][/ROW]
[ROW][C]0.76[/C][C]2390.24348965027[/C][C]59.2337572185084[/C][/ROW]
[ROW][C]0.77[/C][C]2402.10785546612[/C][C]58.1592972738203[/C][/ROW]
[ROW][C]0.78[/C][C]2414.02216837133[/C][C]57.5071893533453[/C][/ROW]
[ROW][C]0.79[/C][C]2426.06760695293[/C][C]57.231304886675[/C][/ROW]
[ROW][C]0.8[/C][C]2438.32408146657[/C][C]57.2512410156633[/C][/ROW]
[ROW][C]0.81[/C][C]2450.86925635613[/C][C]57.4777328825127[/C][/ROW]
[ROW][C]0.82[/C][C]2463.78180893235[/C][C]57.857614982015[/C][/ROW]
[ROW][C]0.83[/C][C]2477.14780553424[/C][C]58.3850675552706[/C][/ROW]
[ROW][C]0.84[/C][C]2491.06774529139[/C][C]59.1211793810177[/C][/ROW]
[ROW][C]0.85[/C][C]2505.66137304837[/C][C]60.1605953576475[/C][/ROW]
[ROW][C]0.86[/C][C]2521.06905462127[/C][C]61.5866257341064[/C][/ROW]
[ROW][C]0.87[/C][C]2537.45386240348[/C][C]63.4123634718691[/C][/ROW]
[ROW][C]0.88[/C][C]2555.01849883321[/C][C]65.5494449680612[/C][/ROW]
[ROW][C]0.89[/C][C]2574.06414773151[/C][C]67.8829676936669[/C][/ROW]
[ROW][C]0.9[/C][C]2595.126510199[/C][C]70.5230737542071[/C][/ROW]
[ROW][C]0.91[/C][C]2619.21008279951[/C][C]74.3341940746221[/C][/ROW]
[ROW][C]0.92[/C][C]2648.07927144276[/C][C]81.6706323831668[/C][/ROW]
[ROW][C]0.93[/C][C]2684.43655452616[/C][C]96.5234976147875[/C][/ROW]
[ROW][C]0.94[/C][C]2731.65432060399[/C][C]122.269892506496[/C][/ROW]
[ROW][C]0.95[/C][C]2792.65733527523[/C][C]157.090703086363[/C][/ROW]
[ROW][C]0.96[/C][C]2867.80276394470[/C][C]190.264001677792[/C][/ROW]
[ROW][C]0.97[/C][C]2952.34724646441[/C][C]202.729851859406[/C][/ROW]
[ROW][C]0.98[/C][C]3035.14005916775[/C][C]176.608777155176[/C][/ROW]
[ROW][C]0.99[/C][C]3100.77685928380[/C][C]115.633929621529[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46964&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46964&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
0.01273.897036349441211.145933434887
0.02401.178157537484359.373951387172
0.03567.191495586364425.273170648434
0.04740.066122317355400.980439735877
0.05894.555193518619326.370200258094
0.061018.71463608805244.523296227416
0.071112.28010602616181.037054855428
0.081181.42979152213143.109895724223
0.091233.92239046649125.821900742511
0.11276.28192563636120.057262921131
0.111312.90824435444118.748948000603
0.121346.3086483277118.303621212779
0.131377.71474748988117.478409849988
0.141407.66455704869116.216506898435
0.151436.40089767645114.925240023151
0.161464.08594650780114.060309734061
0.171490.88487832154113.907312437544
0.181516.97495788825114.509159873123
0.191542.52243999262115.675835061393
0.21567.65376194897117.065838780828
0.211592.43498112503118.261652490377
0.221616.86483711129118.873062519771
0.231640.88141240683118.603322567715
0.241664.37922745142117.299023105083
0.251687.23209975811114.962681127997
0.261709.31683431222111.733641423348
0.271730.53351356048107.858867502027
0.281750.81952406195103.643367188422
0.291770.1561339337899.388616885152
0.31788.5680357984795.3602890861351
0.311806.1174677702491.7592255640755
0.321822.89513064388.7100483273806
0.331839.0101143240286.2676982778867
0.341854.5805627335684.4431861303158
0.351869.7260661774483.2140720698187
0.361884.5620123132582.5460911862948
0.371899.1955435626582.3955909076967
0.381913.7224688119782.7139359103961
0.391928.2244769207983.4331027166337
0.41942.7662378788484.462234570052
0.411957.3923447237285.6821704301171
0.421972.1244207409286.9438053549499
0.431986.9589827932188.0743893794771
0.442001.8667419494088.8983064375181
0.452016.7939160847389.2500262891785
0.462031.6658550464288.999237628773
0.472046.3929057384188.0591834934735
0.482060.8780608347486.4091197981902
0.492075.0256274510784.082026621355
0.52088.7499848070281.1728345059844
0.512101.9834994912277.8312454099391
0.522114.6828190090374.2343580898205
0.532126.8330200396370.5852017326131
0.542138.4493796976667.0860453958141
0.552149.5767998519363.9292142750896
0.562160.2870999518261.2809394907182
0.572170.6744883317259.2807430510646
0.582180.8495441474158.022321218761
0.592190.9320340684357.5500153001518
0.62201.0428979762457.8529264487299
0.612211.2958011691258.8497702571997
0.622221.7887730454160.4172632781837
0.632232.5966052632962.3692341346644
0.642243.764808831264.4800731143091
0.652255.3059610286466.520031611807
0.662267.1991528039468.2615472196103
0.672279.3929521292669.5214317015664
0.682291.8118521472370.161792564677
0.692304.3656447405270.1227030239352
0.72316.9606527024969.4139667213837
0.712329.5113775580568.1280454382955
0.722341.9509671183966.4165731526089
0.732354.2390281251564.4748745245853
0.742366.3657037266262.5100503290917
0.752378.3515503699560.7112701165845
0.762390.2434896502759.2337572185084
0.772402.1078554661258.1592972738203
0.782414.0221683713357.5071893533453
0.792426.0676069529357.231304886675
0.82438.3240814665757.2512410156633
0.812450.8692563561357.4777328825127
0.822463.7818089323557.857614982015
0.832477.1478055342458.3850675552706
0.842491.0677452913959.1211793810177
0.852505.6613730483760.1605953576475
0.862521.0690546212761.5866257341064
0.872537.4538624034863.4123634718691
0.882555.0184988332165.5494449680612
0.892574.0641477315167.8829676936669
0.92595.12651019970.5230737542071
0.912619.2100827995174.3341940746221
0.922648.0792714427681.6706323831668
0.932684.4365545261696.5234976147875
0.942731.65432060399122.269892506496
0.952792.65733527523157.090703086363
0.962867.80276394470190.264001677792
0.972952.34724646441202.729851859406
0.983035.14005916775176.608777155176
0.993100.77685928380115.633929621529


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')