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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 16 Oct 2015 15:12:48 +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/Oct/16/t1445004803dxv524wr0o0bid5.htm/, Retrieved Tue, 14 May 2024 14:44:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=282533, Retrieved Tue, 14 May 2024 14:44:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact123
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [HD percentielen e...] [2015-10-16 14:12:48] [4cb864837b76d57ed1be196f412f1dd6] [Current]
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Dataseries X:
1795
1756
2237
1960
1829
2524
2077
2366
2185
2098
1836
1863
2044
2136
2931
3263
3328
3570
2313
1623
1316
1507
1419
1660
1790
1733
2086
1814
2241
1943
1773
2143
2087
1805
1913
2296
2500
2210
2526
2249
2024
2091
2045
1882
1831
1964
1763
1688
2149
1823
2094
2145
1791
1996
2097
1796
1963
2042
1746
2210
2949
3093
3718
3024
1522
1502
1373
1607
1768
1622
1447
1768




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282533&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282533&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282533&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011335.0343479676853.3470587737529
0.021364.3058145316152.0652496445045
0.031395.4413706988853.0445326734544
0.041424.6473752700554.8327536677063
0.051451.4210020575356.8289340671464
0.061476.3285406633959.1224815504838
0.071499.9956124676761.8643845643036
0.081522.8682733097664.8468878297681
0.091545.1935448793167.5163529372134
0.11567.0403646038369.3321208524693
0.111588.3445885112270.0702044420524
0.121608.9703553305869.8133314957321
0.131628.7644611448868.7564098929436
0.141647.5858412016567.0181763220523
0.151665.3107983210964.5838377227312
0.161681.8280253009461.3786850746321
0.171697.0379377395957.3885436953589
0.181710.8622678653752.730828380414
0.191723.2604437856547.6484206237469
0.21734.2446367886142.4750171916903
0.211743.8863978047837.5552426247142
0.221752.3121470656333.1783983708572
0.231759.6893458418929.5473797664781
0.241766.2079398416526.7500690178363
0.251772.0621141831124.7854109088606
0.261777.4361281447923.5802795063583
0.271782.4959955573523.0373028221761
0.281787.3869021783123.0657507538004
0.291792.2349877785623.6013679001814
0.31797.1515769277924.6138255105074
0.311802.2379817560726.0929183110585
0.321807.5893914241528.0485468617921
0.331813.2968952555230.4818988501853
0.341819.4472216247933.3829688312328
0.351826.1202499982236.7132106510695
0.361833.384751653840.3959599098547
0.371841.2931275035744.3236019637246
0.381849.8761170937848.3516570836985
0.391859.1385140862252.3091545460721
0.41869.0568059208156.0298521414595
0.411879.5793528343559.3418999532702
0.421890.6292747424162.1202859830887
0.431902.1097120207464.2705461041683
0.441913.9106840050965.7471286364786
0.451925.9164969941466.5464474025055
0.461938.0126203444466.7123937308235
0.471950.091159329166.3048113221215
0.481962.0544450163165.4005381426042
0.491973.8167260692664.0663069180594
0.51985.304363621762.3691721111106
0.511996.4551992758960.3600569601045
0.522007.2178367168658.0866894693462
0.532017.5514543603255.5904274649003
0.542027.4265015166552.9297929235158
0.552036.8263015229750.1675391621367
0.562045.7492728038747.3927313453822
0.572054.2112481542744.70419619539
0.582062.2472640122542.2221386439523
0.592069.9122186474940.0628519282609
0.62077.2799505407138.3429201989417
0.612084.4405355012937.1588696381698
0.622091.4958981537536.5772610482795
0.632098.5541272080436.6132034596775
0.642105.7231234197437.235177576996
0.652113.1043579202138.3747407112545
0.662120.7875653268839.9218478191773
0.672128.8471569635141.7621044288671
0.682137.3410485231243.7830710085497
0.692146.3124842604845.8858429459595
0.72155.7953105549248.0078049449262
0.712165.8229711908350.1326276462335
0.722176.4412032623852.3155016390429
0.732187.7239542619454.68254764747
0.742199.7914275996557.4648005636615
0.752212.8285088436360.9806230935954
0.762227.1013419901465.6249428314707
0.772242.9697512930371.8106414801977
0.782260.8936460661479.9260991225463
0.792281.4322940365590.2719647650028
0.82305.23578094669103.037262172729
0.812333.02722371374118.290673070753
0.822365.57184400778135.971326261844
0.832403.62558043877155.844924441221
0.842447.85431444343177.386144016901
0.852498.71953816349199.599856673765
0.862556.3413115428220.863501993732
0.872620.37363664313238.968702938451
0.882689.95108794781251.470202925003
0.892763.77093751236256.392382943734
0.92840.34601610258253.087063956007
0.912918.40152505383242.832397001598
0.922997.32174361452228.744870478422
0.933077.51785140051214.820652358171
0.943160.58979325805204.542008826506
0.953249.13041194254199.867803951576
0.963345.87538880514200.168096131385
0.973451.62501488722199.596692850985
0.983561.26679520237187.667834195616
0.993658.74762746799163.309070296794

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1335.03434796768 & 53.3470587737529 \tabularnewline
0.02 & 1364.30581453161 & 52.0652496445045 \tabularnewline
0.03 & 1395.44137069888 & 53.0445326734544 \tabularnewline
0.04 & 1424.64737527005 & 54.8327536677063 \tabularnewline
0.05 & 1451.42100205753 & 56.8289340671464 \tabularnewline
0.06 & 1476.32854066339 & 59.1224815504838 \tabularnewline
0.07 & 1499.99561246767 & 61.8643845643036 \tabularnewline
0.08 & 1522.86827330976 & 64.8468878297681 \tabularnewline
0.09 & 1545.19354487931 & 67.5163529372134 \tabularnewline
0.1 & 1567.04036460383 & 69.3321208524693 \tabularnewline
0.11 & 1588.34458851122 & 70.0702044420524 \tabularnewline
0.12 & 1608.97035533058 & 69.8133314957321 \tabularnewline
0.13 & 1628.76446114488 & 68.7564098929436 \tabularnewline
0.14 & 1647.58584120165 & 67.0181763220523 \tabularnewline
0.15 & 1665.31079832109 & 64.5838377227312 \tabularnewline
0.16 & 1681.82802530094 & 61.3786850746321 \tabularnewline
0.17 & 1697.03793773959 & 57.3885436953589 \tabularnewline
0.18 & 1710.86226786537 & 52.730828380414 \tabularnewline
0.19 & 1723.26044378565 & 47.6484206237469 \tabularnewline
0.2 & 1734.24463678861 & 42.4750171916903 \tabularnewline
0.21 & 1743.88639780478 & 37.5552426247142 \tabularnewline
0.22 & 1752.31214706563 & 33.1783983708572 \tabularnewline
0.23 & 1759.68934584189 & 29.5473797664781 \tabularnewline
0.24 & 1766.20793984165 & 26.7500690178363 \tabularnewline
0.25 & 1772.06211418311 & 24.7854109088606 \tabularnewline
0.26 & 1777.43612814479 & 23.5802795063583 \tabularnewline
0.27 & 1782.49599555735 & 23.0373028221761 \tabularnewline
0.28 & 1787.38690217831 & 23.0657507538004 \tabularnewline
0.29 & 1792.23498777856 & 23.6013679001814 \tabularnewline
0.3 & 1797.15157692779 & 24.6138255105074 \tabularnewline
0.31 & 1802.23798175607 & 26.0929183110585 \tabularnewline
0.32 & 1807.58939142415 & 28.0485468617921 \tabularnewline
0.33 & 1813.29689525552 & 30.4818988501853 \tabularnewline
0.34 & 1819.44722162479 & 33.3829688312328 \tabularnewline
0.35 & 1826.12024999822 & 36.7132106510695 \tabularnewline
0.36 & 1833.3847516538 & 40.3959599098547 \tabularnewline
0.37 & 1841.29312750357 & 44.3236019637246 \tabularnewline
0.38 & 1849.87611709378 & 48.3516570836985 \tabularnewline
0.39 & 1859.13851408622 & 52.3091545460721 \tabularnewline
0.4 & 1869.05680592081 & 56.0298521414595 \tabularnewline
0.41 & 1879.57935283435 & 59.3418999532702 \tabularnewline
0.42 & 1890.62927474241 & 62.1202859830887 \tabularnewline
0.43 & 1902.10971202074 & 64.2705461041683 \tabularnewline
0.44 & 1913.91068400509 & 65.7471286364786 \tabularnewline
0.45 & 1925.91649699414 & 66.5464474025055 \tabularnewline
0.46 & 1938.01262034444 & 66.7123937308235 \tabularnewline
0.47 & 1950.0911593291 & 66.3048113221215 \tabularnewline
0.48 & 1962.05444501631 & 65.4005381426042 \tabularnewline
0.49 & 1973.81672606926 & 64.0663069180594 \tabularnewline
0.5 & 1985.3043636217 & 62.3691721111106 \tabularnewline
0.51 & 1996.45519927589 & 60.3600569601045 \tabularnewline
0.52 & 2007.21783671686 & 58.0866894693462 \tabularnewline
0.53 & 2017.55145436032 & 55.5904274649003 \tabularnewline
0.54 & 2027.42650151665 & 52.9297929235158 \tabularnewline
0.55 & 2036.82630152297 & 50.1675391621367 \tabularnewline
0.56 & 2045.74927280387 & 47.3927313453822 \tabularnewline
0.57 & 2054.21124815427 & 44.70419619539 \tabularnewline
0.58 & 2062.24726401225 & 42.2221386439523 \tabularnewline
0.59 & 2069.91221864749 & 40.0628519282609 \tabularnewline
0.6 & 2077.27995054071 & 38.3429201989417 \tabularnewline
0.61 & 2084.44053550129 & 37.1588696381698 \tabularnewline
0.62 & 2091.49589815375 & 36.5772610482795 \tabularnewline
0.63 & 2098.55412720804 & 36.6132034596775 \tabularnewline
0.64 & 2105.72312341974 & 37.235177576996 \tabularnewline
0.65 & 2113.10435792021 & 38.3747407112545 \tabularnewline
0.66 & 2120.78756532688 & 39.9218478191773 \tabularnewline
0.67 & 2128.84715696351 & 41.7621044288671 \tabularnewline
0.68 & 2137.34104852312 & 43.7830710085497 \tabularnewline
0.69 & 2146.31248426048 & 45.8858429459595 \tabularnewline
0.7 & 2155.79531055492 & 48.0078049449262 \tabularnewline
0.71 & 2165.82297119083 & 50.1326276462335 \tabularnewline
0.72 & 2176.44120326238 & 52.3155016390429 \tabularnewline
0.73 & 2187.72395426194 & 54.68254764747 \tabularnewline
0.74 & 2199.79142759965 & 57.4648005636615 \tabularnewline
0.75 & 2212.82850884363 & 60.9806230935954 \tabularnewline
0.76 & 2227.10134199014 & 65.6249428314707 \tabularnewline
0.77 & 2242.96975129303 & 71.8106414801977 \tabularnewline
0.78 & 2260.89364606614 & 79.9260991225463 \tabularnewline
0.79 & 2281.43229403655 & 90.2719647650028 \tabularnewline
0.8 & 2305.23578094669 & 103.037262172729 \tabularnewline
0.81 & 2333.02722371374 & 118.290673070753 \tabularnewline
0.82 & 2365.57184400778 & 135.971326261844 \tabularnewline
0.83 & 2403.62558043877 & 155.844924441221 \tabularnewline
0.84 & 2447.85431444343 & 177.386144016901 \tabularnewline
0.85 & 2498.71953816349 & 199.599856673765 \tabularnewline
0.86 & 2556.3413115428 & 220.863501993732 \tabularnewline
0.87 & 2620.37363664313 & 238.968702938451 \tabularnewline
0.88 & 2689.95108794781 & 251.470202925003 \tabularnewline
0.89 & 2763.77093751236 & 256.392382943734 \tabularnewline
0.9 & 2840.34601610258 & 253.087063956007 \tabularnewline
0.91 & 2918.40152505383 & 242.832397001598 \tabularnewline
0.92 & 2997.32174361452 & 228.744870478422 \tabularnewline
0.93 & 3077.51785140051 & 214.820652358171 \tabularnewline
0.94 & 3160.58979325805 & 204.542008826506 \tabularnewline
0.95 & 3249.13041194254 & 199.867803951576 \tabularnewline
0.96 & 3345.87538880514 & 200.168096131385 \tabularnewline
0.97 & 3451.62501488722 & 199.596692850985 \tabularnewline
0.98 & 3561.26679520237 & 187.667834195616 \tabularnewline
0.99 & 3658.74762746799 & 163.309070296794 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282533&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]1335.03434796768[/C][C]53.3470587737529[/C][/ROW]
[ROW][C]0.02[/C][C]1364.30581453161[/C][C]52.0652496445045[/C][/ROW]
[ROW][C]0.03[/C][C]1395.44137069888[/C][C]53.0445326734544[/C][/ROW]
[ROW][C]0.04[/C][C]1424.64737527005[/C][C]54.8327536677063[/C][/ROW]
[ROW][C]0.05[/C][C]1451.42100205753[/C][C]56.8289340671464[/C][/ROW]
[ROW][C]0.06[/C][C]1476.32854066339[/C][C]59.1224815504838[/C][/ROW]
[ROW][C]0.07[/C][C]1499.99561246767[/C][C]61.8643845643036[/C][/ROW]
[ROW][C]0.08[/C][C]1522.86827330976[/C][C]64.8468878297681[/C][/ROW]
[ROW][C]0.09[/C][C]1545.19354487931[/C][C]67.5163529372134[/C][/ROW]
[ROW][C]0.1[/C][C]1567.04036460383[/C][C]69.3321208524693[/C][/ROW]
[ROW][C]0.11[/C][C]1588.34458851122[/C][C]70.0702044420524[/C][/ROW]
[ROW][C]0.12[/C][C]1608.97035533058[/C][C]69.8133314957321[/C][/ROW]
[ROW][C]0.13[/C][C]1628.76446114488[/C][C]68.7564098929436[/C][/ROW]
[ROW][C]0.14[/C][C]1647.58584120165[/C][C]67.0181763220523[/C][/ROW]
[ROW][C]0.15[/C][C]1665.31079832109[/C][C]64.5838377227312[/C][/ROW]
[ROW][C]0.16[/C][C]1681.82802530094[/C][C]61.3786850746321[/C][/ROW]
[ROW][C]0.17[/C][C]1697.03793773959[/C][C]57.3885436953589[/C][/ROW]
[ROW][C]0.18[/C][C]1710.86226786537[/C][C]52.730828380414[/C][/ROW]
[ROW][C]0.19[/C][C]1723.26044378565[/C][C]47.6484206237469[/C][/ROW]
[ROW][C]0.2[/C][C]1734.24463678861[/C][C]42.4750171916903[/C][/ROW]
[ROW][C]0.21[/C][C]1743.88639780478[/C][C]37.5552426247142[/C][/ROW]
[ROW][C]0.22[/C][C]1752.31214706563[/C][C]33.1783983708572[/C][/ROW]
[ROW][C]0.23[/C][C]1759.68934584189[/C][C]29.5473797664781[/C][/ROW]
[ROW][C]0.24[/C][C]1766.20793984165[/C][C]26.7500690178363[/C][/ROW]
[ROW][C]0.25[/C][C]1772.06211418311[/C][C]24.7854109088606[/C][/ROW]
[ROW][C]0.26[/C][C]1777.43612814479[/C][C]23.5802795063583[/C][/ROW]
[ROW][C]0.27[/C][C]1782.49599555735[/C][C]23.0373028221761[/C][/ROW]
[ROW][C]0.28[/C][C]1787.38690217831[/C][C]23.0657507538004[/C][/ROW]
[ROW][C]0.29[/C][C]1792.23498777856[/C][C]23.6013679001814[/C][/ROW]
[ROW][C]0.3[/C][C]1797.15157692779[/C][C]24.6138255105074[/C][/ROW]
[ROW][C]0.31[/C][C]1802.23798175607[/C][C]26.0929183110585[/C][/ROW]
[ROW][C]0.32[/C][C]1807.58939142415[/C][C]28.0485468617921[/C][/ROW]
[ROW][C]0.33[/C][C]1813.29689525552[/C][C]30.4818988501853[/C][/ROW]
[ROW][C]0.34[/C][C]1819.44722162479[/C][C]33.3829688312328[/C][/ROW]
[ROW][C]0.35[/C][C]1826.12024999822[/C][C]36.7132106510695[/C][/ROW]
[ROW][C]0.36[/C][C]1833.3847516538[/C][C]40.3959599098547[/C][/ROW]
[ROW][C]0.37[/C][C]1841.29312750357[/C][C]44.3236019637246[/C][/ROW]
[ROW][C]0.38[/C][C]1849.87611709378[/C][C]48.3516570836985[/C][/ROW]
[ROW][C]0.39[/C][C]1859.13851408622[/C][C]52.3091545460721[/C][/ROW]
[ROW][C]0.4[/C][C]1869.05680592081[/C][C]56.0298521414595[/C][/ROW]
[ROW][C]0.41[/C][C]1879.57935283435[/C][C]59.3418999532702[/C][/ROW]
[ROW][C]0.42[/C][C]1890.62927474241[/C][C]62.1202859830887[/C][/ROW]
[ROW][C]0.43[/C][C]1902.10971202074[/C][C]64.2705461041683[/C][/ROW]
[ROW][C]0.44[/C][C]1913.91068400509[/C][C]65.7471286364786[/C][/ROW]
[ROW][C]0.45[/C][C]1925.91649699414[/C][C]66.5464474025055[/C][/ROW]
[ROW][C]0.46[/C][C]1938.01262034444[/C][C]66.7123937308235[/C][/ROW]
[ROW][C]0.47[/C][C]1950.0911593291[/C][C]66.3048113221215[/C][/ROW]
[ROW][C]0.48[/C][C]1962.05444501631[/C][C]65.4005381426042[/C][/ROW]
[ROW][C]0.49[/C][C]1973.81672606926[/C][C]64.0663069180594[/C][/ROW]
[ROW][C]0.5[/C][C]1985.3043636217[/C][C]62.3691721111106[/C][/ROW]
[ROW][C]0.51[/C][C]1996.45519927589[/C][C]60.3600569601045[/C][/ROW]
[ROW][C]0.52[/C][C]2007.21783671686[/C][C]58.0866894693462[/C][/ROW]
[ROW][C]0.53[/C][C]2017.55145436032[/C][C]55.5904274649003[/C][/ROW]
[ROW][C]0.54[/C][C]2027.42650151665[/C][C]52.9297929235158[/C][/ROW]
[ROW][C]0.55[/C][C]2036.82630152297[/C][C]50.1675391621367[/C][/ROW]
[ROW][C]0.56[/C][C]2045.74927280387[/C][C]47.3927313453822[/C][/ROW]
[ROW][C]0.57[/C][C]2054.21124815427[/C][C]44.70419619539[/C][/ROW]
[ROW][C]0.58[/C][C]2062.24726401225[/C][C]42.2221386439523[/C][/ROW]
[ROW][C]0.59[/C][C]2069.91221864749[/C][C]40.0628519282609[/C][/ROW]
[ROW][C]0.6[/C][C]2077.27995054071[/C][C]38.3429201989417[/C][/ROW]
[ROW][C]0.61[/C][C]2084.44053550129[/C][C]37.1588696381698[/C][/ROW]
[ROW][C]0.62[/C][C]2091.49589815375[/C][C]36.5772610482795[/C][/ROW]
[ROW][C]0.63[/C][C]2098.55412720804[/C][C]36.6132034596775[/C][/ROW]
[ROW][C]0.64[/C][C]2105.72312341974[/C][C]37.235177576996[/C][/ROW]
[ROW][C]0.65[/C][C]2113.10435792021[/C][C]38.3747407112545[/C][/ROW]
[ROW][C]0.66[/C][C]2120.78756532688[/C][C]39.9218478191773[/C][/ROW]
[ROW][C]0.67[/C][C]2128.84715696351[/C][C]41.7621044288671[/C][/ROW]
[ROW][C]0.68[/C][C]2137.34104852312[/C][C]43.7830710085497[/C][/ROW]
[ROW][C]0.69[/C][C]2146.31248426048[/C][C]45.8858429459595[/C][/ROW]
[ROW][C]0.7[/C][C]2155.79531055492[/C][C]48.0078049449262[/C][/ROW]
[ROW][C]0.71[/C][C]2165.82297119083[/C][C]50.1326276462335[/C][/ROW]
[ROW][C]0.72[/C][C]2176.44120326238[/C][C]52.3155016390429[/C][/ROW]
[ROW][C]0.73[/C][C]2187.72395426194[/C][C]54.68254764747[/C][/ROW]
[ROW][C]0.74[/C][C]2199.79142759965[/C][C]57.4648005636615[/C][/ROW]
[ROW][C]0.75[/C][C]2212.82850884363[/C][C]60.9806230935954[/C][/ROW]
[ROW][C]0.76[/C][C]2227.10134199014[/C][C]65.6249428314707[/C][/ROW]
[ROW][C]0.77[/C][C]2242.96975129303[/C][C]71.8106414801977[/C][/ROW]
[ROW][C]0.78[/C][C]2260.89364606614[/C][C]79.9260991225463[/C][/ROW]
[ROW][C]0.79[/C][C]2281.43229403655[/C][C]90.2719647650028[/C][/ROW]
[ROW][C]0.8[/C][C]2305.23578094669[/C][C]103.037262172729[/C][/ROW]
[ROW][C]0.81[/C][C]2333.02722371374[/C][C]118.290673070753[/C][/ROW]
[ROW][C]0.82[/C][C]2365.57184400778[/C][C]135.971326261844[/C][/ROW]
[ROW][C]0.83[/C][C]2403.62558043877[/C][C]155.844924441221[/C][/ROW]
[ROW][C]0.84[/C][C]2447.85431444343[/C][C]177.386144016901[/C][/ROW]
[ROW][C]0.85[/C][C]2498.71953816349[/C][C]199.599856673765[/C][/ROW]
[ROW][C]0.86[/C][C]2556.3413115428[/C][C]220.863501993732[/C][/ROW]
[ROW][C]0.87[/C][C]2620.37363664313[/C][C]238.968702938451[/C][/ROW]
[ROW][C]0.88[/C][C]2689.95108794781[/C][C]251.470202925003[/C][/ROW]
[ROW][C]0.89[/C][C]2763.77093751236[/C][C]256.392382943734[/C][/ROW]
[ROW][C]0.9[/C][C]2840.34601610258[/C][C]253.087063956007[/C][/ROW]
[ROW][C]0.91[/C][C]2918.40152505383[/C][C]242.832397001598[/C][/ROW]
[ROW][C]0.92[/C][C]2997.32174361452[/C][C]228.744870478422[/C][/ROW]
[ROW][C]0.93[/C][C]3077.51785140051[/C][C]214.820652358171[/C][/ROW]
[ROW][C]0.94[/C][C]3160.58979325805[/C][C]204.542008826506[/C][/ROW]
[ROW][C]0.95[/C][C]3249.13041194254[/C][C]199.867803951576[/C][/ROW]
[ROW][C]0.96[/C][C]3345.87538880514[/C][C]200.168096131385[/C][/ROW]
[ROW][C]0.97[/C][C]3451.62501488722[/C][C]199.596692850985[/C][/ROW]
[ROW][C]0.98[/C][C]3561.26679520237[/C][C]187.667834195616[/C][/ROW]
[ROW][C]0.99[/C][C]3658.74762746799[/C][C]163.309070296794[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282533&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282533&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.011335.0343479676853.3470587737529
0.021364.3058145316152.0652496445045
0.031395.4413706988853.0445326734544
0.041424.6473752700554.8327536677063
0.051451.4210020575356.8289340671464
0.061476.3285406633959.1224815504838
0.071499.9956124676761.8643845643036
0.081522.8682733097664.8468878297681
0.091545.1935448793167.5163529372134
0.11567.0403646038369.3321208524693
0.111588.3445885112270.0702044420524
0.121608.9703553305869.8133314957321
0.131628.7644611448868.7564098929436
0.141647.5858412016567.0181763220523
0.151665.3107983210964.5838377227312
0.161681.8280253009461.3786850746321
0.171697.0379377395957.3885436953589
0.181710.8622678653752.730828380414
0.191723.2604437856547.6484206237469
0.21734.2446367886142.4750171916903
0.211743.8863978047837.5552426247142
0.221752.3121470656333.1783983708572
0.231759.6893458418929.5473797664781
0.241766.2079398416526.7500690178363
0.251772.0621141831124.7854109088606
0.261777.4361281447923.5802795063583
0.271782.4959955573523.0373028221761
0.281787.3869021783123.0657507538004
0.291792.2349877785623.6013679001814
0.31797.1515769277924.6138255105074
0.311802.2379817560726.0929183110585
0.321807.5893914241528.0485468617921
0.331813.2968952555230.4818988501853
0.341819.4472216247933.3829688312328
0.351826.1202499982236.7132106510695
0.361833.384751653840.3959599098547
0.371841.2931275035744.3236019637246
0.381849.8761170937848.3516570836985
0.391859.1385140862252.3091545460721
0.41869.0568059208156.0298521414595
0.411879.5793528343559.3418999532702
0.421890.6292747424162.1202859830887
0.431902.1097120207464.2705461041683
0.441913.9106840050965.7471286364786
0.451925.9164969941466.5464474025055
0.461938.0126203444466.7123937308235
0.471950.091159329166.3048113221215
0.481962.0544450163165.4005381426042
0.491973.8167260692664.0663069180594
0.51985.304363621762.3691721111106
0.511996.4551992758960.3600569601045
0.522007.2178367168658.0866894693462
0.532017.5514543603255.5904274649003
0.542027.4265015166552.9297929235158
0.552036.8263015229750.1675391621367
0.562045.7492728038747.3927313453822
0.572054.2112481542744.70419619539
0.582062.2472640122542.2221386439523
0.592069.9122186474940.0628519282609
0.62077.2799505407138.3429201989417
0.612084.4405355012937.1588696381698
0.622091.4958981537536.5772610482795
0.632098.5541272080436.6132034596775
0.642105.7231234197437.235177576996
0.652113.1043579202138.3747407112545
0.662120.7875653268839.9218478191773
0.672128.8471569635141.7621044288671
0.682137.3410485231243.7830710085497
0.692146.3124842604845.8858429459595
0.72155.7953105549248.0078049449262
0.712165.8229711908350.1326276462335
0.722176.4412032623852.3155016390429
0.732187.7239542619454.68254764747
0.742199.7914275996557.4648005636615
0.752212.8285088436360.9806230935954
0.762227.1013419901465.6249428314707
0.772242.9697512930371.8106414801977
0.782260.8936460661479.9260991225463
0.792281.4322940365590.2719647650028
0.82305.23578094669103.037262172729
0.812333.02722371374118.290673070753
0.822365.57184400778135.971326261844
0.832403.62558043877155.844924441221
0.842447.85431444343177.386144016901
0.852498.71953816349199.599856673765
0.862556.3413115428220.863501993732
0.872620.37363664313238.968702938451
0.882689.95108794781251.470202925003
0.892763.77093751236256.392382943734
0.92840.34601610258253.087063956007
0.912918.40152505383242.832397001598
0.922997.32174361452228.744870478422
0.933077.51785140051214.820652358171
0.943160.58979325805204.542008826506
0.953249.13041194254199.867803951576
0.963345.87538880514200.168096131385
0.973451.62501488722199.596692850985
0.983561.26679520237187.667834195616
0.993658.74762746799163.309070296794



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')