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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 computationWed, 09 Dec 2009 10:55:29 -0700
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/Dec/09/t1260381369f0440onw1w96rgx.htm/, Retrieved Mon, 29 Apr 2024 14:54:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=65101, Retrieved Mon, 29 Apr 2024 14:54:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact91

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] [cs.shw.paper.hare...] [2009-12-09 17:55:29] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2430.47
2516.3
2633.63
2799.84
3001.93
3229.29
3173.02
3322.08
3417.88
3486.95
3016.22
2709.61
2914.87
3203.08
3320.25
3446.25
3456.85
3566.53
3763.67
3607.75
3747.38
3623.91
3699.76
3629.61
3911.52
4281.47
4742.42
4522.42
4879.79
5059.11
5093.19
4941.81
4832.67
4876.18
5018.07
4780.34
4953.59
4622.32
4557.13
4560.03
4105.66
4004.89
4277.26
4245.98
4057.64
3931.42
3637.15
3339.91
3465.74
3571.25
3706.93
3584.17
3552.11
3695.24
3510
3357.7
3060.91
2736.98
2709.45
2314.96
2561.29
2663.49
2407.87
2237.74
2165.44
2098.89
2318.54
2315.49
2395.47
2474.07
2479.57
2386.92
2537.84
2567.13
2660.37
2696.28
2748.5
2663.32
2707.69
2669.36
2687.68
2650.24
2620.03
2668.47
2692.06
2737.67
2774.77
2819.19
2892.56
2866.08
2817.41
2934.75
3036.54
3139.5
3114.31
3261.3
3201.79
3264.53
3349.1
3446.17
3469.48
3507.13
3536.2
3359.05
3378.85
3449.15
3522.89
3551.04
3669.15
3602
3697.22
3760.9
3665.08
3708.8
3858.21
3933.16
3946.98
3794.29
3765.56
3820.33
3885.12
3752.67
3683.79
3240.75
3188.82
3017.98
3237.2
3182.53
2906.42
2881.35
2915.64
2635.13
2331.43
2159.04
2065.46
1983.48
1770.41
1815.99
2026.97
2124.81
2098.28
2291.39
2401.57
2453.89
2409.53

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=65101&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=65101&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=65101&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
0.011844.05298116448101.332719966686
0.021952.9555307823398.5403043307946
0.032034.4038611057269.8279078096197
0.042087.8171829463160.871953827628
0.052130.2181326178067.597700138844
0.062171.4541501166577.8875316929467
0.072213.407845250782.9997802153257
0.082254.0378476983980.5967945115785
0.092290.9430571490973.6707527810868
0.12323.1990167033566.6078563816597
0.112351.3922496788061.9606365801986
0.122376.827223257960.2221875135092
0.132400.8602992542061.201222397972
0.142424.6172475330864.5166257697238
0.152448.8968898238869.3620063661215
0.162474.0891775969474.4184442042661
0.172500.1159281953778.2149231203128
0.182526.4666953831879.6027545270763
0.192552.3491886825278.0219147790875
0.22576.9075324975673.62145103716
0.212599.4377016522167.1722716420308
0.222619.5420669472559.8285309439224
0.232637.1932296338052.8545704648471
0.242652.7079012464647.3660641784191
0.252666.6562466169044.1260119932566
0.262679.7438961152343.4623131247326
0.272692.7001538471645.3224584082314
0.282706.1916142031149.3375585342413
0.292720.7650398365255.0197286888115
0.32736.8148539398361.7825043511481
0.312754.5705252421369.0115887903833
0.322774.1030800729776.1621174495338
0.332795.3518781358482.833400426617
0.342818.1694419685388.7998767822843
0.352842.3750893714294.0753151552633
0.362867.8021650450298.8284658303944
0.372894.32341570168103.273234272904
0.382921.84599345046107.497736936592
0.392950.27920445788111.421087910276
0.42979.48936984684114.712934933292
0.413009.26202844191116.943636590434
0.423039.28959540400117.708660276922
0.433069.19330295594116.749121025607
0.443098.57543570617114.099779314417
0.453127.08644331594110.118960072024
0.463154.48576148632105.359943268222
0.473180.67719550822100.493984611488
0.483205.7086047014096.1144058781401
0.493229.7377595202792.5921765404773
0.53252.9768113713290.0145838859308
0.513275.6329391718688.213921863604
0.523297.8611986439386.8687954024776
0.533319.7391642478885.6048290036085
0.543341.2650854496584.1231913767426
0.553362.3751134438382.2227746746616
0.563382.9720419393379.8319183918341
0.573402.9574797346277.0261774392029
0.583422.2602691483473.956649803025
0.593440.8555910183870.8600138799823
0.63458.7715862531167.9686668147765
0.613476.0835381122665.453686734305
0.623492.8990167502663.4104597021459
0.633509.3395105027161.8556593347432
0.643525.5238292184960.7186439509545
0.653541.5561081021959.9265302780553
0.663557.5181297620759.3837081863545
0.673573.4639480245158.9676299204765
0.683589.4155638746958.5739104239066
0.693605.3610847240958.0505697624677
0.73621.2594015934757.2922391912633
0.713637.0557668009956.2556953961832
0.723652.7097954788155.0352570343294
0.733668.2323873802553.8445662550189
0.743683.7234140171853.0739568141055
0.753699.4001176614453.1461228518231
0.763715.6075439254454.5012293913803
0.773732.8057329148257.448435262774
0.783751.5332554695062.1203051953359
0.793772.3552943570568.4012428847516
0.83795.8193915303675.9909742432777
0.813822.4579266766484.612789730366
0.823852.8749105889494.3781236395471
0.833887.91429807442106.070200993554
0.843928.82971468706121.012073741663
0.853977.30625202094140.267299010561
0.864035.19275998134163.533121010514
0.874103.92368565639188.440794623922
0.884183.80156178263210.85441023201
0.894273.47034564675225.990505214661
0.94369.91394607892230.190801293611
0.914469.06838412584222.489769130774
0.924566.70140535709204.75628622853
0.934658.99777542327179.889618468922
0.944742.78302788467150.095424625685
0.954816.137203424118.387650123731
0.964879.8701338420590.8309674810316
0.974938.4594788964473.6063144057413
0.984997.4346041502863.9893179404463
0.995055.7068642531347.6130297948159

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1844.05298116448 & 101.332719966686 \tabularnewline
0.02 & 1952.95553078233 & 98.5403043307946 \tabularnewline
0.03 & 2034.40386110572 & 69.8279078096197 \tabularnewline
0.04 & 2087.81718294631 & 60.871953827628 \tabularnewline
0.05 & 2130.21813261780 & 67.597700138844 \tabularnewline
0.06 & 2171.45415011665 & 77.8875316929467 \tabularnewline
0.07 & 2213.4078452507 & 82.9997802153257 \tabularnewline
0.08 & 2254.03784769839 & 80.5967945115785 \tabularnewline
0.09 & 2290.94305714909 & 73.6707527810868 \tabularnewline
0.1 & 2323.19901670335 & 66.6078563816597 \tabularnewline
0.11 & 2351.39224967880 & 61.9606365801986 \tabularnewline
0.12 & 2376.8272232579 & 60.2221875135092 \tabularnewline
0.13 & 2400.86029925420 & 61.201222397972 \tabularnewline
0.14 & 2424.61724753308 & 64.5166257697238 \tabularnewline
0.15 & 2448.89688982388 & 69.3620063661215 \tabularnewline
0.16 & 2474.08917759694 & 74.4184442042661 \tabularnewline
0.17 & 2500.11592819537 & 78.2149231203128 \tabularnewline
0.18 & 2526.46669538318 & 79.6027545270763 \tabularnewline
0.19 & 2552.34918868252 & 78.0219147790875 \tabularnewline
0.2 & 2576.90753249756 & 73.62145103716 \tabularnewline
0.21 & 2599.43770165221 & 67.1722716420308 \tabularnewline
0.22 & 2619.54206694725 & 59.8285309439224 \tabularnewline
0.23 & 2637.19322963380 & 52.8545704648471 \tabularnewline
0.24 & 2652.70790124646 & 47.3660641784191 \tabularnewline
0.25 & 2666.65624661690 & 44.1260119932566 \tabularnewline
0.26 & 2679.74389611523 & 43.4623131247326 \tabularnewline
0.27 & 2692.70015384716 & 45.3224584082314 \tabularnewline
0.28 & 2706.19161420311 & 49.3375585342413 \tabularnewline
0.29 & 2720.76503983652 & 55.0197286888115 \tabularnewline
0.3 & 2736.81485393983 & 61.7825043511481 \tabularnewline
0.31 & 2754.57052524213 & 69.0115887903833 \tabularnewline
0.32 & 2774.10308007297 & 76.1621174495338 \tabularnewline
0.33 & 2795.35187813584 & 82.833400426617 \tabularnewline
0.34 & 2818.16944196853 & 88.7998767822843 \tabularnewline
0.35 & 2842.37508937142 & 94.0753151552633 \tabularnewline
0.36 & 2867.80216504502 & 98.8284658303944 \tabularnewline
0.37 & 2894.32341570168 & 103.273234272904 \tabularnewline
0.38 & 2921.84599345046 & 107.497736936592 \tabularnewline
0.39 & 2950.27920445788 & 111.421087910276 \tabularnewline
0.4 & 2979.48936984684 & 114.712934933292 \tabularnewline
0.41 & 3009.26202844191 & 116.943636590434 \tabularnewline
0.42 & 3039.28959540400 & 117.708660276922 \tabularnewline
0.43 & 3069.19330295594 & 116.749121025607 \tabularnewline
0.44 & 3098.57543570617 & 114.099779314417 \tabularnewline
0.45 & 3127.08644331594 & 110.118960072024 \tabularnewline
0.46 & 3154.48576148632 & 105.359943268222 \tabularnewline
0.47 & 3180.67719550822 & 100.493984611488 \tabularnewline
0.48 & 3205.70860470140 & 96.1144058781401 \tabularnewline
0.49 & 3229.73775952027 & 92.5921765404773 \tabularnewline
0.5 & 3252.97681137132 & 90.0145838859308 \tabularnewline
0.51 & 3275.63293917186 & 88.213921863604 \tabularnewline
0.52 & 3297.86119864393 & 86.8687954024776 \tabularnewline
0.53 & 3319.73916424788 & 85.6048290036085 \tabularnewline
0.54 & 3341.26508544965 & 84.1231913767426 \tabularnewline
0.55 & 3362.37511344383 & 82.2227746746616 \tabularnewline
0.56 & 3382.97204193933 & 79.8319183918341 \tabularnewline
0.57 & 3402.95747973462 & 77.0261774392029 \tabularnewline
0.58 & 3422.26026914834 & 73.956649803025 \tabularnewline
0.59 & 3440.85559101838 & 70.8600138799823 \tabularnewline
0.6 & 3458.77158625311 & 67.9686668147765 \tabularnewline
0.61 & 3476.08353811226 & 65.453686734305 \tabularnewline
0.62 & 3492.89901675026 & 63.4104597021459 \tabularnewline
0.63 & 3509.33951050271 & 61.8556593347432 \tabularnewline
0.64 & 3525.52382921849 & 60.7186439509545 \tabularnewline
0.65 & 3541.55610810219 & 59.9265302780553 \tabularnewline
0.66 & 3557.51812976207 & 59.3837081863545 \tabularnewline
0.67 & 3573.46394802451 & 58.9676299204765 \tabularnewline
0.68 & 3589.41556387469 & 58.5739104239066 \tabularnewline
0.69 & 3605.36108472409 & 58.0505697624677 \tabularnewline
0.7 & 3621.25940159347 & 57.2922391912633 \tabularnewline
0.71 & 3637.05576680099 & 56.2556953961832 \tabularnewline
0.72 & 3652.70979547881 & 55.0352570343294 \tabularnewline
0.73 & 3668.23238738025 & 53.8445662550189 \tabularnewline
0.74 & 3683.72341401718 & 53.0739568141055 \tabularnewline
0.75 & 3699.40011766144 & 53.1461228518231 \tabularnewline
0.76 & 3715.60754392544 & 54.5012293913803 \tabularnewline
0.77 & 3732.80573291482 & 57.448435262774 \tabularnewline
0.78 & 3751.53325546950 & 62.1203051953359 \tabularnewline
0.79 & 3772.35529435705 & 68.4012428847516 \tabularnewline
0.8 & 3795.81939153036 & 75.9909742432777 \tabularnewline
0.81 & 3822.45792667664 & 84.612789730366 \tabularnewline
0.82 & 3852.87491058894 & 94.3781236395471 \tabularnewline
0.83 & 3887.91429807442 & 106.070200993554 \tabularnewline
0.84 & 3928.82971468706 & 121.012073741663 \tabularnewline
0.85 & 3977.30625202094 & 140.267299010561 \tabularnewline
0.86 & 4035.19275998134 & 163.533121010514 \tabularnewline
0.87 & 4103.92368565639 & 188.440794623922 \tabularnewline
0.88 & 4183.80156178263 & 210.85441023201 \tabularnewline
0.89 & 4273.47034564675 & 225.990505214661 \tabularnewline
0.9 & 4369.91394607892 & 230.190801293611 \tabularnewline
0.91 & 4469.06838412584 & 222.489769130774 \tabularnewline
0.92 & 4566.70140535709 & 204.75628622853 \tabularnewline
0.93 & 4658.99777542327 & 179.889618468922 \tabularnewline
0.94 & 4742.78302788467 & 150.095424625685 \tabularnewline
0.95 & 4816.137203424 & 118.387650123731 \tabularnewline
0.96 & 4879.87013384205 & 90.8309674810316 \tabularnewline
0.97 & 4938.45947889644 & 73.6063144057413 \tabularnewline
0.98 & 4997.43460415028 & 63.9893179404463 \tabularnewline
0.99 & 5055.70686425313 & 47.6130297948159 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=65101&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]1844.05298116448[/C][C]101.332719966686[/C][/ROW]
[ROW][C]0.02[/C][C]1952.95553078233[/C][C]98.5403043307946[/C][/ROW]
[ROW][C]0.03[/C][C]2034.40386110572[/C][C]69.8279078096197[/C][/ROW]
[ROW][C]0.04[/C][C]2087.81718294631[/C][C]60.871953827628[/C][/ROW]
[ROW][C]0.05[/C][C]2130.21813261780[/C][C]67.597700138844[/C][/ROW]
[ROW][C]0.06[/C][C]2171.45415011665[/C][C]77.8875316929467[/C][/ROW]
[ROW][C]0.07[/C][C]2213.4078452507[/C][C]82.9997802153257[/C][/ROW]
[ROW][C]0.08[/C][C]2254.03784769839[/C][C]80.5967945115785[/C][/ROW]
[ROW][C]0.09[/C][C]2290.94305714909[/C][C]73.6707527810868[/C][/ROW]
[ROW][C]0.1[/C][C]2323.19901670335[/C][C]66.6078563816597[/C][/ROW]
[ROW][C]0.11[/C][C]2351.39224967880[/C][C]61.9606365801986[/C][/ROW]
[ROW][C]0.12[/C][C]2376.8272232579[/C][C]60.2221875135092[/C][/ROW]
[ROW][C]0.13[/C][C]2400.86029925420[/C][C]61.201222397972[/C][/ROW]
[ROW][C]0.14[/C][C]2424.61724753308[/C][C]64.5166257697238[/C][/ROW]
[ROW][C]0.15[/C][C]2448.89688982388[/C][C]69.3620063661215[/C][/ROW]
[ROW][C]0.16[/C][C]2474.08917759694[/C][C]74.4184442042661[/C][/ROW]
[ROW][C]0.17[/C][C]2500.11592819537[/C][C]78.2149231203128[/C][/ROW]
[ROW][C]0.18[/C][C]2526.46669538318[/C][C]79.6027545270763[/C][/ROW]
[ROW][C]0.19[/C][C]2552.34918868252[/C][C]78.0219147790875[/C][/ROW]
[ROW][C]0.2[/C][C]2576.90753249756[/C][C]73.62145103716[/C][/ROW]
[ROW][C]0.21[/C][C]2599.43770165221[/C][C]67.1722716420308[/C][/ROW]
[ROW][C]0.22[/C][C]2619.54206694725[/C][C]59.8285309439224[/C][/ROW]
[ROW][C]0.23[/C][C]2637.19322963380[/C][C]52.8545704648471[/C][/ROW]
[ROW][C]0.24[/C][C]2652.70790124646[/C][C]47.3660641784191[/C][/ROW]
[ROW][C]0.25[/C][C]2666.65624661690[/C][C]44.1260119932566[/C][/ROW]
[ROW][C]0.26[/C][C]2679.74389611523[/C][C]43.4623131247326[/C][/ROW]
[ROW][C]0.27[/C][C]2692.70015384716[/C][C]45.3224584082314[/C][/ROW]
[ROW][C]0.28[/C][C]2706.19161420311[/C][C]49.3375585342413[/C][/ROW]
[ROW][C]0.29[/C][C]2720.76503983652[/C][C]55.0197286888115[/C][/ROW]
[ROW][C]0.3[/C][C]2736.81485393983[/C][C]61.7825043511481[/C][/ROW]
[ROW][C]0.31[/C][C]2754.57052524213[/C][C]69.0115887903833[/C][/ROW]
[ROW][C]0.32[/C][C]2774.10308007297[/C][C]76.1621174495338[/C][/ROW]
[ROW][C]0.33[/C][C]2795.35187813584[/C][C]82.833400426617[/C][/ROW]
[ROW][C]0.34[/C][C]2818.16944196853[/C][C]88.7998767822843[/C][/ROW]
[ROW][C]0.35[/C][C]2842.37508937142[/C][C]94.0753151552633[/C][/ROW]
[ROW][C]0.36[/C][C]2867.80216504502[/C][C]98.8284658303944[/C][/ROW]
[ROW][C]0.37[/C][C]2894.32341570168[/C][C]103.273234272904[/C][/ROW]
[ROW][C]0.38[/C][C]2921.84599345046[/C][C]107.497736936592[/C][/ROW]
[ROW][C]0.39[/C][C]2950.27920445788[/C][C]111.421087910276[/C][/ROW]
[ROW][C]0.4[/C][C]2979.48936984684[/C][C]114.712934933292[/C][/ROW]
[ROW][C]0.41[/C][C]3009.26202844191[/C][C]116.943636590434[/C][/ROW]
[ROW][C]0.42[/C][C]3039.28959540400[/C][C]117.708660276922[/C][/ROW]
[ROW][C]0.43[/C][C]3069.19330295594[/C][C]116.749121025607[/C][/ROW]
[ROW][C]0.44[/C][C]3098.57543570617[/C][C]114.099779314417[/C][/ROW]
[ROW][C]0.45[/C][C]3127.08644331594[/C][C]110.118960072024[/C][/ROW]
[ROW][C]0.46[/C][C]3154.48576148632[/C][C]105.359943268222[/C][/ROW]
[ROW][C]0.47[/C][C]3180.67719550822[/C][C]100.493984611488[/C][/ROW]
[ROW][C]0.48[/C][C]3205.70860470140[/C][C]96.1144058781401[/C][/ROW]
[ROW][C]0.49[/C][C]3229.73775952027[/C][C]92.5921765404773[/C][/ROW]
[ROW][C]0.5[/C][C]3252.97681137132[/C][C]90.0145838859308[/C][/ROW]
[ROW][C]0.51[/C][C]3275.63293917186[/C][C]88.213921863604[/C][/ROW]
[ROW][C]0.52[/C][C]3297.86119864393[/C][C]86.8687954024776[/C][/ROW]
[ROW][C]0.53[/C][C]3319.73916424788[/C][C]85.6048290036085[/C][/ROW]
[ROW][C]0.54[/C][C]3341.26508544965[/C][C]84.1231913767426[/C][/ROW]
[ROW][C]0.55[/C][C]3362.37511344383[/C][C]82.2227746746616[/C][/ROW]
[ROW][C]0.56[/C][C]3382.97204193933[/C][C]79.8319183918341[/C][/ROW]
[ROW][C]0.57[/C][C]3402.95747973462[/C][C]77.0261774392029[/C][/ROW]
[ROW][C]0.58[/C][C]3422.26026914834[/C][C]73.956649803025[/C][/ROW]
[ROW][C]0.59[/C][C]3440.85559101838[/C][C]70.8600138799823[/C][/ROW]
[ROW][C]0.6[/C][C]3458.77158625311[/C][C]67.9686668147765[/C][/ROW]
[ROW][C]0.61[/C][C]3476.08353811226[/C][C]65.453686734305[/C][/ROW]
[ROW][C]0.62[/C][C]3492.89901675026[/C][C]63.4104597021459[/C][/ROW]
[ROW][C]0.63[/C][C]3509.33951050271[/C][C]61.8556593347432[/C][/ROW]
[ROW][C]0.64[/C][C]3525.52382921849[/C][C]60.7186439509545[/C][/ROW]
[ROW][C]0.65[/C][C]3541.55610810219[/C][C]59.9265302780553[/C][/ROW]
[ROW][C]0.66[/C][C]3557.51812976207[/C][C]59.3837081863545[/C][/ROW]
[ROW][C]0.67[/C][C]3573.46394802451[/C][C]58.9676299204765[/C][/ROW]
[ROW][C]0.68[/C][C]3589.41556387469[/C][C]58.5739104239066[/C][/ROW]
[ROW][C]0.69[/C][C]3605.36108472409[/C][C]58.0505697624677[/C][/ROW]
[ROW][C]0.7[/C][C]3621.25940159347[/C][C]57.2922391912633[/C][/ROW]
[ROW][C]0.71[/C][C]3637.05576680099[/C][C]56.2556953961832[/C][/ROW]
[ROW][C]0.72[/C][C]3652.70979547881[/C][C]55.0352570343294[/C][/ROW]
[ROW][C]0.73[/C][C]3668.23238738025[/C][C]53.8445662550189[/C][/ROW]
[ROW][C]0.74[/C][C]3683.72341401718[/C][C]53.0739568141055[/C][/ROW]
[ROW][C]0.75[/C][C]3699.40011766144[/C][C]53.1461228518231[/C][/ROW]
[ROW][C]0.76[/C][C]3715.60754392544[/C][C]54.5012293913803[/C][/ROW]
[ROW][C]0.77[/C][C]3732.80573291482[/C][C]57.448435262774[/C][/ROW]
[ROW][C]0.78[/C][C]3751.53325546950[/C][C]62.1203051953359[/C][/ROW]
[ROW][C]0.79[/C][C]3772.35529435705[/C][C]68.4012428847516[/C][/ROW]
[ROW][C]0.8[/C][C]3795.81939153036[/C][C]75.9909742432777[/C][/ROW]
[ROW][C]0.81[/C][C]3822.45792667664[/C][C]84.612789730366[/C][/ROW]
[ROW][C]0.82[/C][C]3852.87491058894[/C][C]94.3781236395471[/C][/ROW]
[ROW][C]0.83[/C][C]3887.91429807442[/C][C]106.070200993554[/C][/ROW]
[ROW][C]0.84[/C][C]3928.82971468706[/C][C]121.012073741663[/C][/ROW]
[ROW][C]0.85[/C][C]3977.30625202094[/C][C]140.267299010561[/C][/ROW]
[ROW][C]0.86[/C][C]4035.19275998134[/C][C]163.533121010514[/C][/ROW]
[ROW][C]0.87[/C][C]4103.92368565639[/C][C]188.440794623922[/C][/ROW]
[ROW][C]0.88[/C][C]4183.80156178263[/C][C]210.85441023201[/C][/ROW]
[ROW][C]0.89[/C][C]4273.47034564675[/C][C]225.990505214661[/C][/ROW]
[ROW][C]0.9[/C][C]4369.91394607892[/C][C]230.190801293611[/C][/ROW]
[ROW][C]0.91[/C][C]4469.06838412584[/C][C]222.489769130774[/C][/ROW]
[ROW][C]0.92[/C][C]4566.70140535709[/C][C]204.75628622853[/C][/ROW]
[ROW][C]0.93[/C][C]4658.99777542327[/C][C]179.889618468922[/C][/ROW]
[ROW][C]0.94[/C][C]4742.78302788467[/C][C]150.095424625685[/C][/ROW]
[ROW][C]0.95[/C][C]4816.137203424[/C][C]118.387650123731[/C][/ROW]
[ROW][C]0.96[/C][C]4879.87013384205[/C][C]90.8309674810316[/C][/ROW]
[ROW][C]0.97[/C][C]4938.45947889644[/C][C]73.6063144057413[/C][/ROW]
[ROW][C]0.98[/C][C]4997.43460415028[/C][C]63.9893179404463[/C][/ROW]
[ROW][C]0.99[/C][C]5055.70686425313[/C][C]47.6130297948159[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=65101&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=65101&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
0.011844.05298116448101.332719966686
0.021952.9555307823398.5403043307946
0.032034.4038611057269.8279078096197
0.042087.8171829463160.871953827628
0.052130.2181326178067.597700138844
0.062171.4541501166577.8875316929467
0.072213.407845250782.9997802153257
0.082254.0378476983980.5967945115785
0.092290.9430571490973.6707527810868
0.12323.1990167033566.6078563816597
0.112351.3922496788061.9606365801986
0.122376.827223257960.2221875135092
0.132400.8602992542061.201222397972
0.142424.6172475330864.5166257697238
0.152448.8968898238869.3620063661215
0.162474.0891775969474.4184442042661
0.172500.1159281953778.2149231203128
0.182526.4666953831879.6027545270763
0.192552.3491886825278.0219147790875
0.22576.9075324975673.62145103716
0.212599.4377016522167.1722716420308
0.222619.5420669472559.8285309439224
0.232637.1932296338052.8545704648471
0.242652.7079012464647.3660641784191
0.252666.6562466169044.1260119932566
0.262679.7438961152343.4623131247326
0.272692.7001538471645.3224584082314
0.282706.1916142031149.3375585342413
0.292720.7650398365255.0197286888115
0.32736.8148539398361.7825043511481
0.312754.5705252421369.0115887903833
0.322774.1030800729776.1621174495338
0.332795.3518781358482.833400426617
0.342818.1694419685388.7998767822843
0.352842.3750893714294.0753151552633
0.362867.8021650450298.8284658303944
0.372894.32341570168103.273234272904
0.382921.84599345046107.497736936592
0.392950.27920445788111.421087910276
0.42979.48936984684114.712934933292
0.413009.26202844191116.943636590434
0.423039.28959540400117.708660276922
0.433069.19330295594116.749121025607
0.443098.57543570617114.099779314417
0.453127.08644331594110.118960072024
0.463154.48576148632105.359943268222
0.473180.67719550822100.493984611488
0.483205.7086047014096.1144058781401
0.493229.7377595202792.5921765404773
0.53252.9768113713290.0145838859308
0.513275.6329391718688.213921863604
0.523297.8611986439386.8687954024776
0.533319.7391642478885.6048290036085
0.543341.2650854496584.1231913767426
0.553362.3751134438382.2227746746616
0.563382.9720419393379.8319183918341
0.573402.9574797346277.0261774392029
0.583422.2602691483473.956649803025
0.593440.8555910183870.8600138799823
0.63458.7715862531167.9686668147765
0.613476.0835381122665.453686734305
0.623492.8990167502663.4104597021459
0.633509.3395105027161.8556593347432
0.643525.5238292184960.7186439509545
0.653541.5561081021959.9265302780553
0.663557.5181297620759.3837081863545
0.673573.4639480245158.9676299204765
0.683589.4155638746958.5739104239066
0.693605.3610847240958.0505697624677
0.73621.2594015934757.2922391912633
0.713637.0557668009956.2556953961832
0.723652.7097954788155.0352570343294
0.733668.2323873802553.8445662550189
0.743683.7234140171853.0739568141055
0.753699.4001176614453.1461228518231
0.763715.6075439254454.5012293913803
0.773732.8057329148257.448435262774
0.783751.5332554695062.1203051953359
0.793772.3552943570568.4012428847516
0.83795.8193915303675.9909742432777
0.813822.4579266766484.612789730366
0.823852.8749105889494.3781236395471
0.833887.91429807442106.070200993554
0.843928.82971468706121.012073741663
0.853977.30625202094140.267299010561
0.864035.19275998134163.533121010514
0.874103.92368565639188.440794623922
0.884183.80156178263210.85441023201
0.894273.47034564675225.990505214661
0.94369.91394607892230.190801293611
0.914469.06838412584222.489769130774
0.924566.70140535709204.75628622853
0.934658.99777542327179.889618468922
0.944742.78302788467150.095424625685
0.954816.137203424118.387650123731
0.964879.8701338420590.8309674810316
0.974938.4594788964473.6063144057413
0.984997.4346041502863.9893179404463
0.995055.7068642531347.6130297948159


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')