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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 computationFri, 09 Oct 2015 09:50:57 +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/09/t1444380705rqn476qx3sa7pog.htm/, Retrieved Mon, 13 May 2024 22:07:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281752, Retrieved Mon, 13 May 2024 22:07:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact50

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] [] [2015-10-09 08:50:57] [e7bd1b63287b3004f428c98394187272] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
62239,3
64816,6
62625,3
67923
64363,7
67342
64411,2
69174,5
66290,2
69336,8
66712,2
72225,9
68229,5
71096,3
68407,9
74522,4
71798,4
75074,3
72694,6
78789,4
74814,5
78303,2
75431,6
82600,7
78830,5
82168,1
79493,2
86876,6
83478,5
87003,2
83672,7
90914,2
86448
90577,7
86621,1
91418,5
84275,4
87677,9
85149,6
92600
87111,3
92293,9
89060
97281,6
91812
95980,4
92043,7
100079,2
94384,8
97900,5
93630,8
102255,2
95251,8
100001,8
95689,8
104298
97435,1
101220,2
97537
105834,9

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=281752&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=281752&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281752&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
0.0162424.1588322813602.790441647467
0.0262761.7520436323885.704508831089
0.0363196.50003575621057.97085469826
0.0463667.30587456671110.30699126777
0.0564133.752673771120.60061680282
0.0664579.98127372091151.91980670505
0.0765006.11305498591211.69757690889
0.0865417.6083142511275.36498052539
0.0965818.50348215671320.63822665402
0.166209.56123440711340.47190853314
0.1166589.54130207461340.77079437756
0.1266957.32362043611334.5713341774
0.1367313.43313266531335.90429058824
0.1467660.51955660881356.23197770924
0.1568002.98222796851402.03671979067
0.1668346.14610010451474.47597534013
0.1768695.35389250811570.06898645216
0.1869055.20951272181682.35989308956
0.1969429.08431087761803.28617358094
0.269818.91012320171925.45257922066
0.2170225.22851297912042.50541758246
0.2270647.43401029962150.04456869331
0.2371084.13377173652246.41805450552
0.2471533.54417041582331.61854714106
0.2571993.85468320742407.49745085813
0.2672463.50819847022476.69813001423
0.2772941.37017546642542.48914016986
0.2873426.78213624162607.63498769102
0.2973919.51380352892674.29356501349
0.374419.64053829412743.17193195876
0.3174927.3781098752814.29506585617
0.3275442.90617895492886.11734049043
0.3375966.20689154732956.43193064253
0.3476496.93758012163022.64914500097
0.3577034.34847286023081.70032953543
0.3677577.24885668543130.75589328162
0.3778124.01917709743167.05811776791
0.3878672.66245832443188.87662362997
0.3979220.88614455973194.5524372317
0.479766.20466556993183.07976919903
0.4180306.05327424813154.45791737423
0.4280837.90459984393109.10174104892
0.4381359.38066808353048.24313313841
0.4481868.35475612412973.76541796354
0.4582363.03930796932888.0813510792
0.4682842.05806651492793.81452954482
0.4783304.50223830762694.05983020891
0.4883749.97142497522592.10862747366
0.4984178.59980763232490.95136498689
0.584591.06652233152394.08780773731
0.5184988.58666431282304.64363326655
0.5285372.876779192225.96282189707
0.5385746.08726528122160.83814772219
0.5486110.69503868742111.64132462233
0.5586469.35386055972079.71522744307
0.5686824.70681542152064.99074976687
0.5787179.17447357582065.60492125264
0.5887534.74130406242078.22105987415
0.5987892.76950760532097.61828492352
0.688253.87135730012117.95447373703
0.6188617.86692761122133.2495214275
0.6288983.84362277932138.3363664893
0.6389350.31853685222129.63993145082
0.6489715.48704585652105.46469096976
0.6590077.52458431832066.67924377091
0.6690434.89676971272016.09924089268
0.6790786.62864711061958.33120582652
0.6891132.48819539281899.3946563185
0.6991473.05200438771845.26263719137
0.791809.64012468491801.20463610444
0.7192144.12909555411770.75523004425
0.7292478.67299070351754.94124546997
0.7392815.37808722311752.33785766482
0.7493155.98460553221759.0401130169
0.7593501.60775642241769.87759845686
0.7693852.58093335841779.24305297656
0.7794208.42886212281781.88626448374
0.7894567.98117406641773.86542010146
0.7994929.61990607511752.97971609263
0.895291.63872366871719.14659413673
0.8195652.67597034541674.30241154848
0.8296012.16596213971622.80792969724
0.8396370.73354503081570.86561622137
0.8496730.44188327961526.01014255365
0.8597094.80606407121496.13629602962
0.8697468.52234862711486.99735754663
0.8797856.94531899541500.00475492144
0.8898265.46288481530.93980096358
0.8998699.03118819661570.56137779668
0.999162.16852823911608.76413666102
0.9199659.59482868351639.34686035652
0.92100197.4024224571663.85415768689
0.93100784.1947394911691.20187776065
0.94101431.1477458781731.85905842117
0.95102149.5183863591785.08944276667
0.96102943.6379195831825.85652668702
0.97103796.9408224051808.81516708231
0.98104650.3179892891709.11496297066
0.99105383.2577528921579.92324792707

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 62424.1588322813 & 602.790441647467 \tabularnewline
0.02 & 62761.7520436323 & 885.704508831089 \tabularnewline
0.03 & 63196.5000357562 & 1057.97085469826 \tabularnewline
0.04 & 63667.3058745667 & 1110.30699126777 \tabularnewline
0.05 & 64133.75267377 & 1120.60061680282 \tabularnewline
0.06 & 64579.9812737209 & 1151.91980670505 \tabularnewline
0.07 & 65006.1130549859 & 1211.69757690889 \tabularnewline
0.08 & 65417.608314251 & 1275.36498052539 \tabularnewline
0.09 & 65818.5034821567 & 1320.63822665402 \tabularnewline
0.1 & 66209.5612344071 & 1340.47190853314 \tabularnewline
0.11 & 66589.5413020746 & 1340.77079437756 \tabularnewline
0.12 & 66957.3236204361 & 1334.5713341774 \tabularnewline
0.13 & 67313.4331326653 & 1335.90429058824 \tabularnewline
0.14 & 67660.5195566088 & 1356.23197770924 \tabularnewline
0.15 & 68002.9822279685 & 1402.03671979067 \tabularnewline
0.16 & 68346.1461001045 & 1474.47597534013 \tabularnewline
0.17 & 68695.3538925081 & 1570.06898645216 \tabularnewline
0.18 & 69055.2095127218 & 1682.35989308956 \tabularnewline
0.19 & 69429.0843108776 & 1803.28617358094 \tabularnewline
0.2 & 69818.9101232017 & 1925.45257922066 \tabularnewline
0.21 & 70225.2285129791 & 2042.50541758246 \tabularnewline
0.22 & 70647.4340102996 & 2150.04456869331 \tabularnewline
0.23 & 71084.1337717365 & 2246.41805450552 \tabularnewline
0.24 & 71533.5441704158 & 2331.61854714106 \tabularnewline
0.25 & 71993.8546832074 & 2407.49745085813 \tabularnewline
0.26 & 72463.5081984702 & 2476.69813001423 \tabularnewline
0.27 & 72941.3701754664 & 2542.48914016986 \tabularnewline
0.28 & 73426.7821362416 & 2607.63498769102 \tabularnewline
0.29 & 73919.5138035289 & 2674.29356501349 \tabularnewline
0.3 & 74419.6405382941 & 2743.17193195876 \tabularnewline
0.31 & 74927.378109875 & 2814.29506585617 \tabularnewline
0.32 & 75442.9061789549 & 2886.11734049043 \tabularnewline
0.33 & 75966.2068915473 & 2956.43193064253 \tabularnewline
0.34 & 76496.9375801216 & 3022.64914500097 \tabularnewline
0.35 & 77034.3484728602 & 3081.70032953543 \tabularnewline
0.36 & 77577.2488566854 & 3130.75589328162 \tabularnewline
0.37 & 78124.0191770974 & 3167.05811776791 \tabularnewline
0.38 & 78672.6624583244 & 3188.87662362997 \tabularnewline
0.39 & 79220.8861445597 & 3194.5524372317 \tabularnewline
0.4 & 79766.2046655699 & 3183.07976919903 \tabularnewline
0.41 & 80306.0532742481 & 3154.45791737423 \tabularnewline
0.42 & 80837.9045998439 & 3109.10174104892 \tabularnewline
0.43 & 81359.3806680835 & 3048.24313313841 \tabularnewline
0.44 & 81868.3547561241 & 2973.76541796354 \tabularnewline
0.45 & 82363.0393079693 & 2888.0813510792 \tabularnewline
0.46 & 82842.0580665149 & 2793.81452954482 \tabularnewline
0.47 & 83304.5022383076 & 2694.05983020891 \tabularnewline
0.48 & 83749.9714249752 & 2592.10862747366 \tabularnewline
0.49 & 84178.5998076323 & 2490.95136498689 \tabularnewline
0.5 & 84591.0665223315 & 2394.08780773731 \tabularnewline
0.51 & 84988.5866643128 & 2304.64363326655 \tabularnewline
0.52 & 85372.87677919 & 2225.96282189707 \tabularnewline
0.53 & 85746.0872652812 & 2160.83814772219 \tabularnewline
0.54 & 86110.6950386874 & 2111.64132462233 \tabularnewline
0.55 & 86469.3538605597 & 2079.71522744307 \tabularnewline
0.56 & 86824.7068154215 & 2064.99074976687 \tabularnewline
0.57 & 87179.1744735758 & 2065.60492125264 \tabularnewline
0.58 & 87534.7413040624 & 2078.22105987415 \tabularnewline
0.59 & 87892.7695076053 & 2097.61828492352 \tabularnewline
0.6 & 88253.8713573001 & 2117.95447373703 \tabularnewline
0.61 & 88617.8669276112 & 2133.2495214275 \tabularnewline
0.62 & 88983.8436227793 & 2138.3363664893 \tabularnewline
0.63 & 89350.3185368522 & 2129.63993145082 \tabularnewline
0.64 & 89715.4870458565 & 2105.46469096976 \tabularnewline
0.65 & 90077.5245843183 & 2066.67924377091 \tabularnewline
0.66 & 90434.8967697127 & 2016.09924089268 \tabularnewline
0.67 & 90786.6286471106 & 1958.33120582652 \tabularnewline
0.68 & 91132.4881953928 & 1899.3946563185 \tabularnewline
0.69 & 91473.0520043877 & 1845.26263719137 \tabularnewline
0.7 & 91809.6401246849 & 1801.20463610444 \tabularnewline
0.71 & 92144.1290955541 & 1770.75523004425 \tabularnewline
0.72 & 92478.6729907035 & 1754.94124546997 \tabularnewline
0.73 & 92815.3780872231 & 1752.33785766482 \tabularnewline
0.74 & 93155.9846055322 & 1759.0401130169 \tabularnewline
0.75 & 93501.6077564224 & 1769.87759845686 \tabularnewline
0.76 & 93852.5809333584 & 1779.24305297656 \tabularnewline
0.77 & 94208.4288621228 & 1781.88626448374 \tabularnewline
0.78 & 94567.9811740664 & 1773.86542010146 \tabularnewline
0.79 & 94929.6199060751 & 1752.97971609263 \tabularnewline
0.8 & 95291.6387236687 & 1719.14659413673 \tabularnewline
0.81 & 95652.6759703454 & 1674.30241154848 \tabularnewline
0.82 & 96012.1659621397 & 1622.80792969724 \tabularnewline
0.83 & 96370.7335450308 & 1570.86561622137 \tabularnewline
0.84 & 96730.4418832796 & 1526.01014255365 \tabularnewline
0.85 & 97094.8060640712 & 1496.13629602962 \tabularnewline
0.86 & 97468.5223486271 & 1486.99735754663 \tabularnewline
0.87 & 97856.9453189954 & 1500.00475492144 \tabularnewline
0.88 & 98265.4628848 & 1530.93980096358 \tabularnewline
0.89 & 98699.0311881966 & 1570.56137779668 \tabularnewline
0.9 & 99162.1685282391 & 1608.76413666102 \tabularnewline
0.91 & 99659.5948286835 & 1639.34686035652 \tabularnewline
0.92 & 100197.402422457 & 1663.85415768689 \tabularnewline
0.93 & 100784.194739491 & 1691.20187776065 \tabularnewline
0.94 & 101431.147745878 & 1731.85905842117 \tabularnewline
0.95 & 102149.518386359 & 1785.08944276667 \tabularnewline
0.96 & 102943.637919583 & 1825.85652668702 \tabularnewline
0.97 & 103796.940822405 & 1808.81516708231 \tabularnewline
0.98 & 104650.317989289 & 1709.11496297066 \tabularnewline
0.99 & 105383.257752892 & 1579.92324792707 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281752&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]62424.1588322813[/C][C]602.790441647467[/C][/ROW]
[ROW][C]0.02[/C][C]62761.7520436323[/C][C]885.704508831089[/C][/ROW]
[ROW][C]0.03[/C][C]63196.5000357562[/C][C]1057.97085469826[/C][/ROW]
[ROW][C]0.04[/C][C]63667.3058745667[/C][C]1110.30699126777[/C][/ROW]
[ROW][C]0.05[/C][C]64133.75267377[/C][C]1120.60061680282[/C][/ROW]
[ROW][C]0.06[/C][C]64579.9812737209[/C][C]1151.91980670505[/C][/ROW]
[ROW][C]0.07[/C][C]65006.1130549859[/C][C]1211.69757690889[/C][/ROW]
[ROW][C]0.08[/C][C]65417.608314251[/C][C]1275.36498052539[/C][/ROW]
[ROW][C]0.09[/C][C]65818.5034821567[/C][C]1320.63822665402[/C][/ROW]
[ROW][C]0.1[/C][C]66209.5612344071[/C][C]1340.47190853314[/C][/ROW]
[ROW][C]0.11[/C][C]66589.5413020746[/C][C]1340.77079437756[/C][/ROW]
[ROW][C]0.12[/C][C]66957.3236204361[/C][C]1334.5713341774[/C][/ROW]
[ROW][C]0.13[/C][C]67313.4331326653[/C][C]1335.90429058824[/C][/ROW]
[ROW][C]0.14[/C][C]67660.5195566088[/C][C]1356.23197770924[/C][/ROW]
[ROW][C]0.15[/C][C]68002.9822279685[/C][C]1402.03671979067[/C][/ROW]
[ROW][C]0.16[/C][C]68346.1461001045[/C][C]1474.47597534013[/C][/ROW]
[ROW][C]0.17[/C][C]68695.3538925081[/C][C]1570.06898645216[/C][/ROW]
[ROW][C]0.18[/C][C]69055.2095127218[/C][C]1682.35989308956[/C][/ROW]
[ROW][C]0.19[/C][C]69429.0843108776[/C][C]1803.28617358094[/C][/ROW]
[ROW][C]0.2[/C][C]69818.9101232017[/C][C]1925.45257922066[/C][/ROW]
[ROW][C]0.21[/C][C]70225.2285129791[/C][C]2042.50541758246[/C][/ROW]
[ROW][C]0.22[/C][C]70647.4340102996[/C][C]2150.04456869331[/C][/ROW]
[ROW][C]0.23[/C][C]71084.1337717365[/C][C]2246.41805450552[/C][/ROW]
[ROW][C]0.24[/C][C]71533.5441704158[/C][C]2331.61854714106[/C][/ROW]
[ROW][C]0.25[/C][C]71993.8546832074[/C][C]2407.49745085813[/C][/ROW]
[ROW][C]0.26[/C][C]72463.5081984702[/C][C]2476.69813001423[/C][/ROW]
[ROW][C]0.27[/C][C]72941.3701754664[/C][C]2542.48914016986[/C][/ROW]
[ROW][C]0.28[/C][C]73426.7821362416[/C][C]2607.63498769102[/C][/ROW]
[ROW][C]0.29[/C][C]73919.5138035289[/C][C]2674.29356501349[/C][/ROW]
[ROW][C]0.3[/C][C]74419.6405382941[/C][C]2743.17193195876[/C][/ROW]
[ROW][C]0.31[/C][C]74927.378109875[/C][C]2814.29506585617[/C][/ROW]
[ROW][C]0.32[/C][C]75442.9061789549[/C][C]2886.11734049043[/C][/ROW]
[ROW][C]0.33[/C][C]75966.2068915473[/C][C]2956.43193064253[/C][/ROW]
[ROW][C]0.34[/C][C]76496.9375801216[/C][C]3022.64914500097[/C][/ROW]
[ROW][C]0.35[/C][C]77034.3484728602[/C][C]3081.70032953543[/C][/ROW]
[ROW][C]0.36[/C][C]77577.2488566854[/C][C]3130.75589328162[/C][/ROW]
[ROW][C]0.37[/C][C]78124.0191770974[/C][C]3167.05811776791[/C][/ROW]
[ROW][C]0.38[/C][C]78672.6624583244[/C][C]3188.87662362997[/C][/ROW]
[ROW][C]0.39[/C][C]79220.8861445597[/C][C]3194.5524372317[/C][/ROW]
[ROW][C]0.4[/C][C]79766.2046655699[/C][C]3183.07976919903[/C][/ROW]
[ROW][C]0.41[/C][C]80306.0532742481[/C][C]3154.45791737423[/C][/ROW]
[ROW][C]0.42[/C][C]80837.9045998439[/C][C]3109.10174104892[/C][/ROW]
[ROW][C]0.43[/C][C]81359.3806680835[/C][C]3048.24313313841[/C][/ROW]
[ROW][C]0.44[/C][C]81868.3547561241[/C][C]2973.76541796354[/C][/ROW]
[ROW][C]0.45[/C][C]82363.0393079693[/C][C]2888.0813510792[/C][/ROW]
[ROW][C]0.46[/C][C]82842.0580665149[/C][C]2793.81452954482[/C][/ROW]
[ROW][C]0.47[/C][C]83304.5022383076[/C][C]2694.05983020891[/C][/ROW]
[ROW][C]0.48[/C][C]83749.9714249752[/C][C]2592.10862747366[/C][/ROW]
[ROW][C]0.49[/C][C]84178.5998076323[/C][C]2490.95136498689[/C][/ROW]
[ROW][C]0.5[/C][C]84591.0665223315[/C][C]2394.08780773731[/C][/ROW]
[ROW][C]0.51[/C][C]84988.5866643128[/C][C]2304.64363326655[/C][/ROW]
[ROW][C]0.52[/C][C]85372.87677919[/C][C]2225.96282189707[/C][/ROW]
[ROW][C]0.53[/C][C]85746.0872652812[/C][C]2160.83814772219[/C][/ROW]
[ROW][C]0.54[/C][C]86110.6950386874[/C][C]2111.64132462233[/C][/ROW]
[ROW][C]0.55[/C][C]86469.3538605597[/C][C]2079.71522744307[/C][/ROW]
[ROW][C]0.56[/C][C]86824.7068154215[/C][C]2064.99074976687[/C][/ROW]
[ROW][C]0.57[/C][C]87179.1744735758[/C][C]2065.60492125264[/C][/ROW]
[ROW][C]0.58[/C][C]87534.7413040624[/C][C]2078.22105987415[/C][/ROW]
[ROW][C]0.59[/C][C]87892.7695076053[/C][C]2097.61828492352[/C][/ROW]
[ROW][C]0.6[/C][C]88253.8713573001[/C][C]2117.95447373703[/C][/ROW]
[ROW][C]0.61[/C][C]88617.8669276112[/C][C]2133.2495214275[/C][/ROW]
[ROW][C]0.62[/C][C]88983.8436227793[/C][C]2138.3363664893[/C][/ROW]
[ROW][C]0.63[/C][C]89350.3185368522[/C][C]2129.63993145082[/C][/ROW]
[ROW][C]0.64[/C][C]89715.4870458565[/C][C]2105.46469096976[/C][/ROW]
[ROW][C]0.65[/C][C]90077.5245843183[/C][C]2066.67924377091[/C][/ROW]
[ROW][C]0.66[/C][C]90434.8967697127[/C][C]2016.09924089268[/C][/ROW]
[ROW][C]0.67[/C][C]90786.6286471106[/C][C]1958.33120582652[/C][/ROW]
[ROW][C]0.68[/C][C]91132.4881953928[/C][C]1899.3946563185[/C][/ROW]
[ROW][C]0.69[/C][C]91473.0520043877[/C][C]1845.26263719137[/C][/ROW]
[ROW][C]0.7[/C][C]91809.6401246849[/C][C]1801.20463610444[/C][/ROW]
[ROW][C]0.71[/C][C]92144.1290955541[/C][C]1770.75523004425[/C][/ROW]
[ROW][C]0.72[/C][C]92478.6729907035[/C][C]1754.94124546997[/C][/ROW]
[ROW][C]0.73[/C][C]92815.3780872231[/C][C]1752.33785766482[/C][/ROW]
[ROW][C]0.74[/C][C]93155.9846055322[/C][C]1759.0401130169[/C][/ROW]
[ROW][C]0.75[/C][C]93501.6077564224[/C][C]1769.87759845686[/C][/ROW]
[ROW][C]0.76[/C][C]93852.5809333584[/C][C]1779.24305297656[/C][/ROW]
[ROW][C]0.77[/C][C]94208.4288621228[/C][C]1781.88626448374[/C][/ROW]
[ROW][C]0.78[/C][C]94567.9811740664[/C][C]1773.86542010146[/C][/ROW]
[ROW][C]0.79[/C][C]94929.6199060751[/C][C]1752.97971609263[/C][/ROW]
[ROW][C]0.8[/C][C]95291.6387236687[/C][C]1719.14659413673[/C][/ROW]
[ROW][C]0.81[/C][C]95652.6759703454[/C][C]1674.30241154848[/C][/ROW]
[ROW][C]0.82[/C][C]96012.1659621397[/C][C]1622.80792969724[/C][/ROW]
[ROW][C]0.83[/C][C]96370.7335450308[/C][C]1570.86561622137[/C][/ROW]
[ROW][C]0.84[/C][C]96730.4418832796[/C][C]1526.01014255365[/C][/ROW]
[ROW][C]0.85[/C][C]97094.8060640712[/C][C]1496.13629602962[/C][/ROW]
[ROW][C]0.86[/C][C]97468.5223486271[/C][C]1486.99735754663[/C][/ROW]
[ROW][C]0.87[/C][C]97856.9453189954[/C][C]1500.00475492144[/C][/ROW]
[ROW][C]0.88[/C][C]98265.4628848[/C][C]1530.93980096358[/C][/ROW]
[ROW][C]0.89[/C][C]98699.0311881966[/C][C]1570.56137779668[/C][/ROW]
[ROW][C]0.9[/C][C]99162.1685282391[/C][C]1608.76413666102[/C][/ROW]
[ROW][C]0.91[/C][C]99659.5948286835[/C][C]1639.34686035652[/C][/ROW]
[ROW][C]0.92[/C][C]100197.402422457[/C][C]1663.85415768689[/C][/ROW]
[ROW][C]0.93[/C][C]100784.194739491[/C][C]1691.20187776065[/C][/ROW]
[ROW][C]0.94[/C][C]101431.147745878[/C][C]1731.85905842117[/C][/ROW]
[ROW][C]0.95[/C][C]102149.518386359[/C][C]1785.08944276667[/C][/ROW]
[ROW][C]0.96[/C][C]102943.637919583[/C][C]1825.85652668702[/C][/ROW]
[ROW][C]0.97[/C][C]103796.940822405[/C][C]1808.81516708231[/C][/ROW]
[ROW][C]0.98[/C][C]104650.317989289[/C][C]1709.11496297066[/C][/ROW]
[ROW][C]0.99[/C][C]105383.257752892[/C][C]1579.92324792707[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281752&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281752&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
0.0162424.1588322813602.790441647467
0.0262761.7520436323885.704508831089
0.0363196.50003575621057.97085469826
0.0463667.30587456671110.30699126777
0.0564133.752673771120.60061680282
0.0664579.98127372091151.91980670505
0.0765006.11305498591211.69757690889
0.0865417.6083142511275.36498052539
0.0965818.50348215671320.63822665402
0.166209.56123440711340.47190853314
0.1166589.54130207461340.77079437756
0.1266957.32362043611334.5713341774
0.1367313.43313266531335.90429058824
0.1467660.51955660881356.23197770924
0.1568002.98222796851402.03671979067
0.1668346.14610010451474.47597534013
0.1768695.35389250811570.06898645216
0.1869055.20951272181682.35989308956
0.1969429.08431087761803.28617358094
0.269818.91012320171925.45257922066
0.2170225.22851297912042.50541758246
0.2270647.43401029962150.04456869331
0.2371084.13377173652246.41805450552
0.2471533.54417041582331.61854714106
0.2571993.85468320742407.49745085813
0.2672463.50819847022476.69813001423
0.2772941.37017546642542.48914016986
0.2873426.78213624162607.63498769102
0.2973919.51380352892674.29356501349
0.374419.64053829412743.17193195876
0.3174927.3781098752814.29506585617
0.3275442.90617895492886.11734049043
0.3375966.20689154732956.43193064253
0.3476496.93758012163022.64914500097
0.3577034.34847286023081.70032953543
0.3677577.24885668543130.75589328162
0.3778124.01917709743167.05811776791
0.3878672.66245832443188.87662362997
0.3979220.88614455973194.5524372317
0.479766.20466556993183.07976919903
0.4180306.05327424813154.45791737423
0.4280837.90459984393109.10174104892
0.4381359.38066808353048.24313313841
0.4481868.35475612412973.76541796354
0.4582363.03930796932888.0813510792
0.4682842.05806651492793.81452954482
0.4783304.50223830762694.05983020891
0.4883749.97142497522592.10862747366
0.4984178.59980763232490.95136498689
0.584591.06652233152394.08780773731
0.5184988.58666431282304.64363326655
0.5285372.876779192225.96282189707
0.5385746.08726528122160.83814772219
0.5486110.69503868742111.64132462233
0.5586469.35386055972079.71522744307
0.5686824.70681542152064.99074976687
0.5787179.17447357582065.60492125264
0.5887534.74130406242078.22105987415
0.5987892.76950760532097.61828492352
0.688253.87135730012117.95447373703
0.6188617.86692761122133.2495214275
0.6288983.84362277932138.3363664893
0.6389350.31853685222129.63993145082
0.6489715.48704585652105.46469096976
0.6590077.52458431832066.67924377091
0.6690434.89676971272016.09924089268
0.6790786.62864711061958.33120582652
0.6891132.48819539281899.3946563185
0.6991473.05200438771845.26263719137
0.791809.64012468491801.20463610444
0.7192144.12909555411770.75523004425
0.7292478.67299070351754.94124546997
0.7392815.37808722311752.33785766482
0.7493155.98460553221759.0401130169
0.7593501.60775642241769.87759845686
0.7693852.58093335841779.24305297656
0.7794208.42886212281781.88626448374
0.7894567.98117406641773.86542010146
0.7994929.61990607511752.97971609263
0.895291.63872366871719.14659413673
0.8195652.67597034541674.30241154848
0.8296012.16596213971622.80792969724
0.8396370.73354503081570.86561622137
0.8496730.44188327961526.01014255365
0.8597094.80606407121496.13629602962
0.8697468.52234862711486.99735754663
0.8797856.94531899541500.00475492144
0.8898265.46288481530.93980096358
0.8998699.03118819661570.56137779668
0.999162.16852823911608.76413666102
0.9199659.59482868351639.34686035652
0.92100197.4024224571663.85415768689
0.93100784.1947394911691.20187776065
0.94101431.1477458781731.85905842117
0.95102149.5183863591785.08944276667
0.96102943.6379195831825.85652668702
0.97103796.9408224051808.81516708231
0.98104650.3179892891709.11496297066
0.99105383.2577528921579.92324792707


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')