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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 computationTue, 21 Jul 2015 08:59:31 +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/Jul/21/t1437465600nyln0aoclr85z16.htm/, Retrieved Sun, 04 May 2025 12:29:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279614, Retrieved Sun, 04 May 2025 12:29:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact233

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] [2 STAP 1 HLN] [2015-07-21 07:37:18] [110a48b2e0105bb86f6db58fdf2bbafc]
- RMP     [Harrell-Davis Quantiles] [2 STAP 7 HLN] [2015-07-21 07:59:31] [70d22f55a70f3427b60459805adf1606] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
64800
62400
66000
52800
68400
67200
72000
74400
82800
72000
68400
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72000
54000
63600
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67200
55200
73200
66000
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78000
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91200
66000
55200
61200
44400
63600
49200
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66000
58800
84000
75600
86400
64800
60000
54000
44400
58800
52800
72000
69600
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80400
74400
96000
76800
46800
46800
46800
55200
55200
74400
68400
61200
76800
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102000
80400
46800
49200
40800
56400
64800
81600
80400
64800
75600
67200
96000
73200
58800
52800
39600
58800
70800
82800
78000
57600
82800
64800
99600
82800
60000
55200
37200
58800
56400
85200
85200
64800
84000
62400
97200
82800
61200
46800
32400
63600
61200
80400
92400
68400
76800
57600
99600

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=279614&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=279614&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279614&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
0.0134859.35846655863787.78327226453
0.0237967.52649519323126.34143824491
0.0340486.12581839332970.55172671166
0.0442444.74711610182771.83519987066
0.0543987.33290185092371.02011467598
0.0645175.61393488191915.33212788406
0.0746083.5806152891598.94555106105
0.0846820.18134849081543.98183043487
0.0947498.74587592591737.94890378223
0.148203.60147561062057.84833800625
0.1148973.63158986482369.38267588554
0.1249804.57060061612577.9051993811
0.1350663.82967528712640.84288193275
0.1451509.12008939012564.31901865203
0.1552303.74091236212387.8267306125
0.1653025.10543992932164.46521407426
0.1753666.57846639031944.06449371794
0.1854234.68428308041763.37111761576
0.1954744.15305586621642.18890839403
0.255212.73359033461582.96380937789
0.2155656.92479402041573.82465117817
0.2256089.170948051594.18035230151
0.2356516.67767102251622.01680930263
0.2456941.72000564741640.59635657868
0.2557363.05554011941641.33742238061
0.2657777.86071854281624.56937430875
0.2758183.56377499421597.34630380881
0.2858579.08993589651569.86589234547
0.2958965.30769837081551.50930667264
0.359344.75229979061548.25909617313
0.3159720.89492230951561.38396600294
0.3260097.27599509541588.62750047352
0.3360476.75206771561624.78584403264
0.3460860.98514608351663.62888410731
0.3561250.19821141751698.68908368146
0.3661643.16619678181723.82738240535
0.3762037.40414546311733.82255922011
0.3862429.52532285291725.35174820521
0.3962815.74252067121697.41698020015
0.463192.46363359561652.26415219213
0.4163556.89715445011594.66121074887
0.4263907.55657492781532.21502361681
0.4364244.55511718661473.34789934662
0.4464569.62075417071426.17842169505
0.4564885.82636245011396.68196482535
0.4665197.09969397231387.72178018544
0.4765507.62941407861398.67819009743
0.4865821.3010239481426.18468798471
0.4966141.27689962891465.16308195234
0.566469.78678897791510.46980459116
0.5166808.13515855721557.77465350101
0.5267156.87740246261604.41584248715
0.5367516.08209974841648.85316830526
0.5467885.58862780351691.29278463275
0.5568265.18829533761732.174901593
0.5668654.69536048051771.96466629941
0.5769053.91897582861810.47701124234
0.5869462.58311642211846.90097829959
0.5969880.25616553611879.78252626033
0.670306.33972548551908.14874486084
0.6170740.13259951141931.44481525805
0.6271180.94561206621950.09860516782
0.6371628.21491061771965.36171337821
0.6472081.56017068561978.39576092191
0.6572540.76244398321990.12900675872
0.6673005.68254730112000.58731562606
0.6773476.18269225412009.08356512817
0.6873952.12799548592015.1016929602
0.6974433.5165666552018.86596879649
0.774920.72076137622022.07278367883
0.7175414.74162538822028.11499220058
0.7275917.3213452952041.08598613811
0.7376430.76202368112063.77930544126
0.7476957.38043689042095.88566385402
0.7577498.66844000892132.38025005811
0.7678054.37224320082164.0048618232
0.7778621.78404346642178.9582888625
0.7879195.51681358612166.29144942503
0.7979767.92172867612118.67913280106
0.880330.16400733082034.27524929137
0.8180873.84793292521917.66257269039
0.8281392.98399137331780.14944123553
0.8381886.01000324481639.32999317045
0.8482357.55943718551517.91919655786
0.8582819.83742183061441.54927644297
0.8683293.86766120351435.61445544276
0.8783811.19918983491525.60653154451
0.8884416.1438532531741.12336920809
0.8985166.59437110692112.81214066241
0.986128.65109358032646.45484499405
0.9187359.6666321523282.36769956635
0.9288879.94876163073873.80444443859
0.9390645.75355508394220.98687717879
0.9492546.63949493034168.4446018693
0.9594441.75928400443719.59868379841
0.9696216.90292311113054.69009862793
0.9797827.71508454252367.57295896945
0.9899336.63058093261769.3756769982
0.99100855.5570329921755.65847457526

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 34859.3584665586 & 3787.78327226453 \tabularnewline
0.02 & 37967.5264951932 & 3126.34143824491 \tabularnewline
0.03 & 40486.1258183933 & 2970.55172671166 \tabularnewline
0.04 & 42444.7471161018 & 2771.83519987066 \tabularnewline
0.05 & 43987.3329018509 & 2371.02011467598 \tabularnewline
0.06 & 45175.6139348819 & 1915.33212788406 \tabularnewline
0.07 & 46083.580615289 & 1598.94555106105 \tabularnewline
0.08 & 46820.1813484908 & 1543.98183043487 \tabularnewline
0.09 & 47498.7458759259 & 1737.94890378223 \tabularnewline
0.1 & 48203.6014756106 & 2057.84833800625 \tabularnewline
0.11 & 48973.6315898648 & 2369.38267588554 \tabularnewline
0.12 & 49804.5706006161 & 2577.9051993811 \tabularnewline
0.13 & 50663.8296752871 & 2640.84288193275 \tabularnewline
0.14 & 51509.1200893901 & 2564.31901865203 \tabularnewline
0.15 & 52303.7409123621 & 2387.8267306125 \tabularnewline
0.16 & 53025.1054399293 & 2164.46521407426 \tabularnewline
0.17 & 53666.5784663903 & 1944.06449371794 \tabularnewline
0.18 & 54234.6842830804 & 1763.37111761576 \tabularnewline
0.19 & 54744.1530558662 & 1642.18890839403 \tabularnewline
0.2 & 55212.7335903346 & 1582.96380937789 \tabularnewline
0.21 & 55656.9247940204 & 1573.82465117817 \tabularnewline
0.22 & 56089.17094805 & 1594.18035230151 \tabularnewline
0.23 & 56516.6776710225 & 1622.01680930263 \tabularnewline
0.24 & 56941.7200056474 & 1640.59635657868 \tabularnewline
0.25 & 57363.0555401194 & 1641.33742238061 \tabularnewline
0.26 & 57777.8607185428 & 1624.56937430875 \tabularnewline
0.27 & 58183.5637749942 & 1597.34630380881 \tabularnewline
0.28 & 58579.0899358965 & 1569.86589234547 \tabularnewline
0.29 & 58965.3076983708 & 1551.50930667264 \tabularnewline
0.3 & 59344.7522997906 & 1548.25909617313 \tabularnewline
0.31 & 59720.8949223095 & 1561.38396600294 \tabularnewline
0.32 & 60097.2759950954 & 1588.62750047352 \tabularnewline
0.33 & 60476.7520677156 & 1624.78584403264 \tabularnewline
0.34 & 60860.9851460835 & 1663.62888410731 \tabularnewline
0.35 & 61250.1982114175 & 1698.68908368146 \tabularnewline
0.36 & 61643.1661967818 & 1723.82738240535 \tabularnewline
0.37 & 62037.4041454631 & 1733.82255922011 \tabularnewline
0.38 & 62429.5253228529 & 1725.35174820521 \tabularnewline
0.39 & 62815.7425206712 & 1697.41698020015 \tabularnewline
0.4 & 63192.4636335956 & 1652.26415219213 \tabularnewline
0.41 & 63556.8971544501 & 1594.66121074887 \tabularnewline
0.42 & 63907.5565749278 & 1532.21502361681 \tabularnewline
0.43 & 64244.5551171866 & 1473.34789934662 \tabularnewline
0.44 & 64569.6207541707 & 1426.17842169505 \tabularnewline
0.45 & 64885.8263624501 & 1396.68196482535 \tabularnewline
0.46 & 65197.0996939723 & 1387.72178018544 \tabularnewline
0.47 & 65507.6294140786 & 1398.67819009743 \tabularnewline
0.48 & 65821.301023948 & 1426.18468798471 \tabularnewline
0.49 & 66141.2768996289 & 1465.16308195234 \tabularnewline
0.5 & 66469.7867889779 & 1510.46980459116 \tabularnewline
0.51 & 66808.1351585572 & 1557.77465350101 \tabularnewline
0.52 & 67156.8774024626 & 1604.41584248715 \tabularnewline
0.53 & 67516.0820997484 & 1648.85316830526 \tabularnewline
0.54 & 67885.5886278035 & 1691.29278463275 \tabularnewline
0.55 & 68265.1882953376 & 1732.174901593 \tabularnewline
0.56 & 68654.6953604805 & 1771.96466629941 \tabularnewline
0.57 & 69053.9189758286 & 1810.47701124234 \tabularnewline
0.58 & 69462.5831164221 & 1846.90097829959 \tabularnewline
0.59 & 69880.2561655361 & 1879.78252626033 \tabularnewline
0.6 & 70306.3397254855 & 1908.14874486084 \tabularnewline
0.61 & 70740.1325995114 & 1931.44481525805 \tabularnewline
0.62 & 71180.9456120662 & 1950.09860516782 \tabularnewline
0.63 & 71628.2149106177 & 1965.36171337821 \tabularnewline
0.64 & 72081.5601706856 & 1978.39576092191 \tabularnewline
0.65 & 72540.7624439832 & 1990.12900675872 \tabularnewline
0.66 & 73005.6825473011 & 2000.58731562606 \tabularnewline
0.67 & 73476.1826922541 & 2009.08356512817 \tabularnewline
0.68 & 73952.1279954859 & 2015.1016929602 \tabularnewline
0.69 & 74433.516566655 & 2018.86596879649 \tabularnewline
0.7 & 74920.7207613762 & 2022.07278367883 \tabularnewline
0.71 & 75414.7416253882 & 2028.11499220058 \tabularnewline
0.72 & 75917.321345295 & 2041.08598613811 \tabularnewline
0.73 & 76430.7620236811 & 2063.77930544126 \tabularnewline
0.74 & 76957.3804368904 & 2095.88566385402 \tabularnewline
0.75 & 77498.6684400089 & 2132.38025005811 \tabularnewline
0.76 & 78054.3722432008 & 2164.0048618232 \tabularnewline
0.77 & 78621.7840434664 & 2178.9582888625 \tabularnewline
0.78 & 79195.5168135861 & 2166.29144942503 \tabularnewline
0.79 & 79767.9217286761 & 2118.67913280106 \tabularnewline
0.8 & 80330.1640073308 & 2034.27524929137 \tabularnewline
0.81 & 80873.8479329252 & 1917.66257269039 \tabularnewline
0.82 & 81392.9839913733 & 1780.14944123553 \tabularnewline
0.83 & 81886.0100032448 & 1639.32999317045 \tabularnewline
0.84 & 82357.5594371855 & 1517.91919655786 \tabularnewline
0.85 & 82819.8374218306 & 1441.54927644297 \tabularnewline
0.86 & 83293.8676612035 & 1435.61445544276 \tabularnewline
0.87 & 83811.1991898349 & 1525.60653154451 \tabularnewline
0.88 & 84416.143853253 & 1741.12336920809 \tabularnewline
0.89 & 85166.5943711069 & 2112.81214066241 \tabularnewline
0.9 & 86128.6510935803 & 2646.45484499405 \tabularnewline
0.91 & 87359.666632152 & 3282.36769956635 \tabularnewline
0.92 & 88879.9487616307 & 3873.80444443859 \tabularnewline
0.93 & 90645.7535550839 & 4220.98687717879 \tabularnewline
0.94 & 92546.6394949303 & 4168.4446018693 \tabularnewline
0.95 & 94441.7592840044 & 3719.59868379841 \tabularnewline
0.96 & 96216.9029231111 & 3054.69009862793 \tabularnewline
0.97 & 97827.7150845425 & 2367.57295896945 \tabularnewline
0.98 & 99336.6305809326 & 1769.3756769982 \tabularnewline
0.99 & 100855.557032992 & 1755.65847457526 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279614&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]34859.3584665586[/C][C]3787.78327226453[/C][/ROW]
[ROW][C]0.02[/C][C]37967.5264951932[/C][C]3126.34143824491[/C][/ROW]
[ROW][C]0.03[/C][C]40486.1258183933[/C][C]2970.55172671166[/C][/ROW]
[ROW][C]0.04[/C][C]42444.7471161018[/C][C]2771.83519987066[/C][/ROW]
[ROW][C]0.05[/C][C]43987.3329018509[/C][C]2371.02011467598[/C][/ROW]
[ROW][C]0.06[/C][C]45175.6139348819[/C][C]1915.33212788406[/C][/ROW]
[ROW][C]0.07[/C][C]46083.580615289[/C][C]1598.94555106105[/C][/ROW]
[ROW][C]0.08[/C][C]46820.1813484908[/C][C]1543.98183043487[/C][/ROW]
[ROW][C]0.09[/C][C]47498.7458759259[/C][C]1737.94890378223[/C][/ROW]
[ROW][C]0.1[/C][C]48203.6014756106[/C][C]2057.84833800625[/C][/ROW]
[ROW][C]0.11[/C][C]48973.6315898648[/C][C]2369.38267588554[/C][/ROW]
[ROW][C]0.12[/C][C]49804.5706006161[/C][C]2577.9051993811[/C][/ROW]
[ROW][C]0.13[/C][C]50663.8296752871[/C][C]2640.84288193275[/C][/ROW]
[ROW][C]0.14[/C][C]51509.1200893901[/C][C]2564.31901865203[/C][/ROW]
[ROW][C]0.15[/C][C]52303.7409123621[/C][C]2387.8267306125[/C][/ROW]
[ROW][C]0.16[/C][C]53025.1054399293[/C][C]2164.46521407426[/C][/ROW]
[ROW][C]0.17[/C][C]53666.5784663903[/C][C]1944.06449371794[/C][/ROW]
[ROW][C]0.18[/C][C]54234.6842830804[/C][C]1763.37111761576[/C][/ROW]
[ROW][C]0.19[/C][C]54744.1530558662[/C][C]1642.18890839403[/C][/ROW]
[ROW][C]0.2[/C][C]55212.7335903346[/C][C]1582.96380937789[/C][/ROW]
[ROW][C]0.21[/C][C]55656.9247940204[/C][C]1573.82465117817[/C][/ROW]
[ROW][C]0.22[/C][C]56089.17094805[/C][C]1594.18035230151[/C][/ROW]
[ROW][C]0.23[/C][C]56516.6776710225[/C][C]1622.01680930263[/C][/ROW]
[ROW][C]0.24[/C][C]56941.7200056474[/C][C]1640.59635657868[/C][/ROW]
[ROW][C]0.25[/C][C]57363.0555401194[/C][C]1641.33742238061[/C][/ROW]
[ROW][C]0.26[/C][C]57777.8607185428[/C][C]1624.56937430875[/C][/ROW]
[ROW][C]0.27[/C][C]58183.5637749942[/C][C]1597.34630380881[/C][/ROW]
[ROW][C]0.28[/C][C]58579.0899358965[/C][C]1569.86589234547[/C][/ROW]
[ROW][C]0.29[/C][C]58965.3076983708[/C][C]1551.50930667264[/C][/ROW]
[ROW][C]0.3[/C][C]59344.7522997906[/C][C]1548.25909617313[/C][/ROW]
[ROW][C]0.31[/C][C]59720.8949223095[/C][C]1561.38396600294[/C][/ROW]
[ROW][C]0.32[/C][C]60097.2759950954[/C][C]1588.62750047352[/C][/ROW]
[ROW][C]0.33[/C][C]60476.7520677156[/C][C]1624.78584403264[/C][/ROW]
[ROW][C]0.34[/C][C]60860.9851460835[/C][C]1663.62888410731[/C][/ROW]
[ROW][C]0.35[/C][C]61250.1982114175[/C][C]1698.68908368146[/C][/ROW]
[ROW][C]0.36[/C][C]61643.1661967818[/C][C]1723.82738240535[/C][/ROW]
[ROW][C]0.37[/C][C]62037.4041454631[/C][C]1733.82255922011[/C][/ROW]
[ROW][C]0.38[/C][C]62429.5253228529[/C][C]1725.35174820521[/C][/ROW]
[ROW][C]0.39[/C][C]62815.7425206712[/C][C]1697.41698020015[/C][/ROW]
[ROW][C]0.4[/C][C]63192.4636335956[/C][C]1652.26415219213[/C][/ROW]
[ROW][C]0.41[/C][C]63556.8971544501[/C][C]1594.66121074887[/C][/ROW]
[ROW][C]0.42[/C][C]63907.5565749278[/C][C]1532.21502361681[/C][/ROW]
[ROW][C]0.43[/C][C]64244.5551171866[/C][C]1473.34789934662[/C][/ROW]
[ROW][C]0.44[/C][C]64569.6207541707[/C][C]1426.17842169505[/C][/ROW]
[ROW][C]0.45[/C][C]64885.8263624501[/C][C]1396.68196482535[/C][/ROW]
[ROW][C]0.46[/C][C]65197.0996939723[/C][C]1387.72178018544[/C][/ROW]
[ROW][C]0.47[/C][C]65507.6294140786[/C][C]1398.67819009743[/C][/ROW]
[ROW][C]0.48[/C][C]65821.301023948[/C][C]1426.18468798471[/C][/ROW]
[ROW][C]0.49[/C][C]66141.2768996289[/C][C]1465.16308195234[/C][/ROW]
[ROW][C]0.5[/C][C]66469.7867889779[/C][C]1510.46980459116[/C][/ROW]
[ROW][C]0.51[/C][C]66808.1351585572[/C][C]1557.77465350101[/C][/ROW]
[ROW][C]0.52[/C][C]67156.8774024626[/C][C]1604.41584248715[/C][/ROW]
[ROW][C]0.53[/C][C]67516.0820997484[/C][C]1648.85316830526[/C][/ROW]
[ROW][C]0.54[/C][C]67885.5886278035[/C][C]1691.29278463275[/C][/ROW]
[ROW][C]0.55[/C][C]68265.1882953376[/C][C]1732.174901593[/C][/ROW]
[ROW][C]0.56[/C][C]68654.6953604805[/C][C]1771.96466629941[/C][/ROW]
[ROW][C]0.57[/C][C]69053.9189758286[/C][C]1810.47701124234[/C][/ROW]
[ROW][C]0.58[/C][C]69462.5831164221[/C][C]1846.90097829959[/C][/ROW]
[ROW][C]0.59[/C][C]69880.2561655361[/C][C]1879.78252626033[/C][/ROW]
[ROW][C]0.6[/C][C]70306.3397254855[/C][C]1908.14874486084[/C][/ROW]
[ROW][C]0.61[/C][C]70740.1325995114[/C][C]1931.44481525805[/C][/ROW]
[ROW][C]0.62[/C][C]71180.9456120662[/C][C]1950.09860516782[/C][/ROW]
[ROW][C]0.63[/C][C]71628.2149106177[/C][C]1965.36171337821[/C][/ROW]
[ROW][C]0.64[/C][C]72081.5601706856[/C][C]1978.39576092191[/C][/ROW]
[ROW][C]0.65[/C][C]72540.7624439832[/C][C]1990.12900675872[/C][/ROW]
[ROW][C]0.66[/C][C]73005.6825473011[/C][C]2000.58731562606[/C][/ROW]
[ROW][C]0.67[/C][C]73476.1826922541[/C][C]2009.08356512817[/C][/ROW]
[ROW][C]0.68[/C][C]73952.1279954859[/C][C]2015.1016929602[/C][/ROW]
[ROW][C]0.69[/C][C]74433.516566655[/C][C]2018.86596879649[/C][/ROW]
[ROW][C]0.7[/C][C]74920.7207613762[/C][C]2022.07278367883[/C][/ROW]
[ROW][C]0.71[/C][C]75414.7416253882[/C][C]2028.11499220058[/C][/ROW]
[ROW][C]0.72[/C][C]75917.321345295[/C][C]2041.08598613811[/C][/ROW]
[ROW][C]0.73[/C][C]76430.7620236811[/C][C]2063.77930544126[/C][/ROW]
[ROW][C]0.74[/C][C]76957.3804368904[/C][C]2095.88566385402[/C][/ROW]
[ROW][C]0.75[/C][C]77498.6684400089[/C][C]2132.38025005811[/C][/ROW]
[ROW][C]0.76[/C][C]78054.3722432008[/C][C]2164.0048618232[/C][/ROW]
[ROW][C]0.77[/C][C]78621.7840434664[/C][C]2178.9582888625[/C][/ROW]
[ROW][C]0.78[/C][C]79195.5168135861[/C][C]2166.29144942503[/C][/ROW]
[ROW][C]0.79[/C][C]79767.9217286761[/C][C]2118.67913280106[/C][/ROW]
[ROW][C]0.8[/C][C]80330.1640073308[/C][C]2034.27524929137[/C][/ROW]
[ROW][C]0.81[/C][C]80873.8479329252[/C][C]1917.66257269039[/C][/ROW]
[ROW][C]0.82[/C][C]81392.9839913733[/C][C]1780.14944123553[/C][/ROW]
[ROW][C]0.83[/C][C]81886.0100032448[/C][C]1639.32999317045[/C][/ROW]
[ROW][C]0.84[/C][C]82357.5594371855[/C][C]1517.91919655786[/C][/ROW]
[ROW][C]0.85[/C][C]82819.8374218306[/C][C]1441.54927644297[/C][/ROW]
[ROW][C]0.86[/C][C]83293.8676612035[/C][C]1435.61445544276[/C][/ROW]
[ROW][C]0.87[/C][C]83811.1991898349[/C][C]1525.60653154451[/C][/ROW]
[ROW][C]0.88[/C][C]84416.143853253[/C][C]1741.12336920809[/C][/ROW]
[ROW][C]0.89[/C][C]85166.5943711069[/C][C]2112.81214066241[/C][/ROW]
[ROW][C]0.9[/C][C]86128.6510935803[/C][C]2646.45484499405[/C][/ROW]
[ROW][C]0.91[/C][C]87359.666632152[/C][C]3282.36769956635[/C][/ROW]
[ROW][C]0.92[/C][C]88879.9487616307[/C][C]3873.80444443859[/C][/ROW]
[ROW][C]0.93[/C][C]90645.7535550839[/C][C]4220.98687717879[/C][/ROW]
[ROW][C]0.94[/C][C]92546.6394949303[/C][C]4168.4446018693[/C][/ROW]
[ROW][C]0.95[/C][C]94441.7592840044[/C][C]3719.59868379841[/C][/ROW]
[ROW][C]0.96[/C][C]96216.9029231111[/C][C]3054.69009862793[/C][/ROW]
[ROW][C]0.97[/C][C]97827.7150845425[/C][C]2367.57295896945[/C][/ROW]
[ROW][C]0.98[/C][C]99336.6305809326[/C][C]1769.3756769982[/C][/ROW]
[ROW][C]0.99[/C][C]100855.557032992[/C][C]1755.65847457526[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279614&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279614&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
0.0134859.35846655863787.78327226453
0.0237967.52649519323126.34143824491
0.0340486.12581839332970.55172671166
0.0442444.74711610182771.83519987066
0.0543987.33290185092371.02011467598
0.0645175.61393488191915.33212788406
0.0746083.5806152891598.94555106105
0.0846820.18134849081543.98183043487
0.0947498.74587592591737.94890378223
0.148203.60147561062057.84833800625
0.1148973.63158986482369.38267588554
0.1249804.57060061612577.9051993811
0.1350663.82967528712640.84288193275
0.1451509.12008939012564.31901865203
0.1552303.74091236212387.8267306125
0.1653025.10543992932164.46521407426
0.1753666.57846639031944.06449371794
0.1854234.68428308041763.37111761576
0.1954744.15305586621642.18890839403
0.255212.73359033461582.96380937789
0.2155656.92479402041573.82465117817
0.2256089.170948051594.18035230151
0.2356516.67767102251622.01680930263
0.2456941.72000564741640.59635657868
0.2557363.05554011941641.33742238061
0.2657777.86071854281624.56937430875
0.2758183.56377499421597.34630380881
0.2858579.08993589651569.86589234547
0.2958965.30769837081551.50930667264
0.359344.75229979061548.25909617313
0.3159720.89492230951561.38396600294
0.3260097.27599509541588.62750047352
0.3360476.75206771561624.78584403264
0.3460860.98514608351663.62888410731
0.3561250.19821141751698.68908368146
0.3661643.16619678181723.82738240535
0.3762037.40414546311733.82255922011
0.3862429.52532285291725.35174820521
0.3962815.74252067121697.41698020015
0.463192.46363359561652.26415219213
0.4163556.89715445011594.66121074887
0.4263907.55657492781532.21502361681
0.4364244.55511718661473.34789934662
0.4464569.62075417071426.17842169505
0.4564885.82636245011396.68196482535
0.4665197.09969397231387.72178018544
0.4765507.62941407861398.67819009743
0.4865821.3010239481426.18468798471
0.4966141.27689962891465.16308195234
0.566469.78678897791510.46980459116
0.5166808.13515855721557.77465350101
0.5267156.87740246261604.41584248715
0.5367516.08209974841648.85316830526
0.5467885.58862780351691.29278463275
0.5568265.18829533761732.174901593
0.5668654.69536048051771.96466629941
0.5769053.91897582861810.47701124234
0.5869462.58311642211846.90097829959
0.5969880.25616553611879.78252626033
0.670306.33972548551908.14874486084
0.6170740.13259951141931.44481525805
0.6271180.94561206621950.09860516782
0.6371628.21491061771965.36171337821
0.6472081.56017068561978.39576092191
0.6572540.76244398321990.12900675872
0.6673005.68254730112000.58731562606
0.6773476.18269225412009.08356512817
0.6873952.12799548592015.1016929602
0.6974433.5165666552018.86596879649
0.774920.72076137622022.07278367883
0.7175414.74162538822028.11499220058
0.7275917.3213452952041.08598613811
0.7376430.76202368112063.77930544126
0.7476957.38043689042095.88566385402
0.7577498.66844000892132.38025005811
0.7678054.37224320082164.0048618232
0.7778621.78404346642178.9582888625
0.7879195.51681358612166.29144942503
0.7979767.92172867612118.67913280106
0.880330.16400733082034.27524929137
0.8180873.84793292521917.66257269039
0.8281392.98399137331780.14944123553
0.8381886.01000324481639.32999317045
0.8482357.55943718551517.91919655786
0.8582819.83742183061441.54927644297
0.8683293.86766120351435.61445544276
0.8783811.19918983491525.60653154451
0.8884416.1438532531741.12336920809
0.8985166.59437110692112.81214066241
0.986128.65109358032646.45484499405
0.9187359.6666321523282.36769956635
0.9288879.94876163073873.80444443859
0.9390645.75355508394220.98687717879
0.9492546.63949493034168.4446018693
0.9594441.75928400443719.59868379841
0.9696216.90292311113054.69009862793
0.9797827.71508454252367.57295896945
0.9899336.63058093261769.3756769982
0.99100855.5570329921755.65847457526


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')