FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 01 Oct 2013 05:33:28 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/01/t13806200744039rb9t28uwbcs.htm/, Retrieved Sat, 27 Apr 2024 09:45:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212535, Retrieved Sat, 27 Apr 2024 09:45:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact144

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] [] [2013-10-01 09:33:28] [626ac9e5ebaea65a3a0a76f5178dd51c] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
79.57
77.45
75.79
74.88
74.5
74.59
74.59
73.57
73.3
73.23
73
72.31
72.31
71.24
70.82
70.66
69.94
69.87
69.87
68.88
68.09
68.38
66.78
67.2
67.2
66.67
65.86
66.05
66.31
66.39
66.39
65.72
65.52
64.93
65.27
65.04
65.02
64.72
64.68
64.41
64.79
64.71
64.71
64.83
64.77
64.19
64.27
64.23
64.23
63.03
62.85
62.15
61.69
62.1
62.1
61.81
61.28
61.05
61.08
60.98
60.98
61.11
60.58
60.37
59.44
59.29
59.29
59.33
59.06
58.75
58.92
58.73
58.73
58.46
58.18
58.02
56.97
57.22
57.19
57.06
57.08
56.59
56.91
56.54

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=212535&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=212535&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212535&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
0.0156.59087570277990.124167306158959
0.0256.68893716885630.190351068005847
0.0356.80611791187360.202904642553649
0.0456.92097728853620.20146308224168
0.0557.03070996095880.231436619083491
0.0657.14497313906960.302184586030612
0.0757.2752240801310.396432279252409
0.0857.42770929742770.490884471008058
0.0957.60140914223050.565027883901641
0.157.78944699231560.606300321634932
0.1157.9821560015240.612750778181591
0.1258.17029809160060.591671977436479
0.1358.34739459895340.555941791286972
0.1458.51072743432420.519439067387745
0.1558.66113233252770.493814409115188
0.1658.8020328754750.486574467230418
0.1758.93820834236350.500224768268678
0.1859.0746493380060.533052229852704
0.1959.21567236388610.580308020843367
0.259.36433242366790.635554696963761
0.2159.52211608003740.691472911132014
0.2259.68889148372280.74117829243201
0.2359.86309730544950.778860325778241
0.2460.04214197290620.800937440515116
0.2560.2229541626050.806835386118503
0.2660.40259013323760.798886716700898
0.2760.57878416009350.781968933382764
0.2860.75033856875820.762621725981841
0.2960.91728881884930.747420853327908
0.361.08083313317880.74232197461256
0.3161.24306662902020.750953439629313
0.3261.40659192642990.774510186158172
0.3361.57408629480680.811628235363981
0.3461.74789375076480.859164577960929
0.3561.92968905291080.912591680417126
0.3662.12023934770990.966734939473806
0.3762.31927430546921.01598818841421
0.3862.52546747432831.05504045408635
0.3962.73652683101251.07913122142199
0.462.94938677749591.08483933743077
0.4163.1604847509281.070194875854
0.4263.3660941074391.03528791427354
0.4363.5626746216220.981792307997626
0.4463.7471971273720.913314767768835
0.4563.91740230386720.834459128993746
0.4664.07196527217090.750569998762666
0.4764.21055452150280.666837476256411
0.4864.33379112159180.588208958824648
0.4964.44312779016050.518841342208735
0.564.54067449587130.461716259030484
0.5164.62899760690270.419261850205845
0.5264.71091493571520.392371919755029
0.5364.78930223696030.381323268909206
0.5464.86692052857140.384735201405337
0.5564.94626976734240.40074482941342
0.5665.02947331068390.426547160803106
0.5765.1181984402270.459084087623712
0.5865.21361951973740.495428495766358
0.5965.31643050783560.533067878607707
0.665.42691133114360.569781026553044
0.6165.54504754025860.604361315110838
0.6265.67069505123590.636463631148975
0.6365.80377274618360.666745133987662
0.6465.94445701132790.697195298923496
0.6566.09334600648030.730289139215981
0.6666.25155964641320.769043264216027
0.6766.42074559023660.816474585413887
0.6866.60297284031570.874321899753884
0.6966.80051252259830.942990846860373
0.767.01552818797931.02103660174493
0.7167.24972188472841.10478232520235
0.7267.50400191010981.18924134227177
0.7367.77824703669311.26843339382622
0.7468.07123393733291.33684233305872
0.7568.38076596655211.38957337951539
0.7668.70399423465081.42455649640662
0.7769.0378652858931.4418104145154
0.7869.37958019581671.44422793111075
0.7969.72692781902611.43606162619887
0.870.0783772563671.42193794302052
0.8170.43288625084421.40459904732743
0.8270.78948860788021.38425929034507
0.8371.14682919173221.35823136930382
0.8471.50287012398921.32217868273307
0.8571.85495108095691.27270153633466
0.8672.20023535659431.20922364378812
0.8772.53635648986221.13518801308635
0.8872.86191718763421.05688093157447
0.8973.17655087609190.980643799294895
0.973.48065819762960.908756538038928
0.9173.77559725483930.839370118682349
0.9274.06563416178870.772141185599389
0.9374.36270158913860.720492554277456
0.9474.69350668109360.722136153887862
0.9575.10616344219960.828264223659441
0.9675.67140080529751.0566330262221
0.9776.46953038195131.35938426086079
0.9877.53751067902711.65156395191224
0.9978.72937020817881.90056776238082

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 56.5908757027799 & 0.124167306158959 \tabularnewline
0.02 & 56.6889371688563 & 0.190351068005847 \tabularnewline
0.03 & 56.8061179118736 & 0.202904642553649 \tabularnewline
0.04 & 56.9209772885362 & 0.20146308224168 \tabularnewline
0.05 & 57.0307099609588 & 0.231436619083491 \tabularnewline
0.06 & 57.1449731390696 & 0.302184586030612 \tabularnewline
0.07 & 57.275224080131 & 0.396432279252409 \tabularnewline
0.08 & 57.4277092974277 & 0.490884471008058 \tabularnewline
0.09 & 57.6014091422305 & 0.565027883901641 \tabularnewline
0.1 & 57.7894469923156 & 0.606300321634932 \tabularnewline
0.11 & 57.982156001524 & 0.612750778181591 \tabularnewline
0.12 & 58.1702980916006 & 0.591671977436479 \tabularnewline
0.13 & 58.3473945989534 & 0.555941791286972 \tabularnewline
0.14 & 58.5107274343242 & 0.519439067387745 \tabularnewline
0.15 & 58.6611323325277 & 0.493814409115188 \tabularnewline
0.16 & 58.802032875475 & 0.486574467230418 \tabularnewline
0.17 & 58.9382083423635 & 0.500224768268678 \tabularnewline
0.18 & 59.074649338006 & 0.533052229852704 \tabularnewline
0.19 & 59.2156723638861 & 0.580308020843367 \tabularnewline
0.2 & 59.3643324236679 & 0.635554696963761 \tabularnewline
0.21 & 59.5221160800374 & 0.691472911132014 \tabularnewline
0.22 & 59.6888914837228 & 0.74117829243201 \tabularnewline
0.23 & 59.8630973054495 & 0.778860325778241 \tabularnewline
0.24 & 60.0421419729062 & 0.800937440515116 \tabularnewline
0.25 & 60.222954162605 & 0.806835386118503 \tabularnewline
0.26 & 60.4025901332376 & 0.798886716700898 \tabularnewline
0.27 & 60.5787841600935 & 0.781968933382764 \tabularnewline
0.28 & 60.7503385687582 & 0.762621725981841 \tabularnewline
0.29 & 60.9172888188493 & 0.747420853327908 \tabularnewline
0.3 & 61.0808331331788 & 0.74232197461256 \tabularnewline
0.31 & 61.2430666290202 & 0.750953439629313 \tabularnewline
0.32 & 61.4065919264299 & 0.774510186158172 \tabularnewline
0.33 & 61.5740862948068 & 0.811628235363981 \tabularnewline
0.34 & 61.7478937507648 & 0.859164577960929 \tabularnewline
0.35 & 61.9296890529108 & 0.912591680417126 \tabularnewline
0.36 & 62.1202393477099 & 0.966734939473806 \tabularnewline
0.37 & 62.3192743054692 & 1.01598818841421 \tabularnewline
0.38 & 62.5254674743283 & 1.05504045408635 \tabularnewline
0.39 & 62.7365268310125 & 1.07913122142199 \tabularnewline
0.4 & 62.9493867774959 & 1.08483933743077 \tabularnewline
0.41 & 63.160484750928 & 1.070194875854 \tabularnewline
0.42 & 63.366094107439 & 1.03528791427354 \tabularnewline
0.43 & 63.562674621622 & 0.981792307997626 \tabularnewline
0.44 & 63.747197127372 & 0.913314767768835 \tabularnewline
0.45 & 63.9174023038672 & 0.834459128993746 \tabularnewline
0.46 & 64.0719652721709 & 0.750569998762666 \tabularnewline
0.47 & 64.2105545215028 & 0.666837476256411 \tabularnewline
0.48 & 64.3337911215918 & 0.588208958824648 \tabularnewline
0.49 & 64.4431277901605 & 0.518841342208735 \tabularnewline
0.5 & 64.5406744958713 & 0.461716259030484 \tabularnewline
0.51 & 64.6289976069027 & 0.419261850205845 \tabularnewline
0.52 & 64.7109149357152 & 0.392371919755029 \tabularnewline
0.53 & 64.7893022369603 & 0.381323268909206 \tabularnewline
0.54 & 64.8669205285714 & 0.384735201405337 \tabularnewline
0.55 & 64.9462697673424 & 0.40074482941342 \tabularnewline
0.56 & 65.0294733106839 & 0.426547160803106 \tabularnewline
0.57 & 65.118198440227 & 0.459084087623712 \tabularnewline
0.58 & 65.2136195197374 & 0.495428495766358 \tabularnewline
0.59 & 65.3164305078356 & 0.533067878607707 \tabularnewline
0.6 & 65.4269113311436 & 0.569781026553044 \tabularnewline
0.61 & 65.5450475402586 & 0.604361315110838 \tabularnewline
0.62 & 65.6706950512359 & 0.636463631148975 \tabularnewline
0.63 & 65.8037727461836 & 0.666745133987662 \tabularnewline
0.64 & 65.9444570113279 & 0.697195298923496 \tabularnewline
0.65 & 66.0933460064803 & 0.730289139215981 \tabularnewline
0.66 & 66.2515596464132 & 0.769043264216027 \tabularnewline
0.67 & 66.4207455902366 & 0.816474585413887 \tabularnewline
0.68 & 66.6029728403157 & 0.874321899753884 \tabularnewline
0.69 & 66.8005125225983 & 0.942990846860373 \tabularnewline
0.7 & 67.0155281879793 & 1.02103660174493 \tabularnewline
0.71 & 67.2497218847284 & 1.10478232520235 \tabularnewline
0.72 & 67.5040019101098 & 1.18924134227177 \tabularnewline
0.73 & 67.7782470366931 & 1.26843339382622 \tabularnewline
0.74 & 68.0712339373329 & 1.33684233305872 \tabularnewline
0.75 & 68.3807659665521 & 1.38957337951539 \tabularnewline
0.76 & 68.7039942346508 & 1.42455649640662 \tabularnewline
0.77 & 69.037865285893 & 1.4418104145154 \tabularnewline
0.78 & 69.3795801958167 & 1.44422793111075 \tabularnewline
0.79 & 69.7269278190261 & 1.43606162619887 \tabularnewline
0.8 & 70.078377256367 & 1.42193794302052 \tabularnewline
0.81 & 70.4328862508442 & 1.40459904732743 \tabularnewline
0.82 & 70.7894886078802 & 1.38425929034507 \tabularnewline
0.83 & 71.1468291917322 & 1.35823136930382 \tabularnewline
0.84 & 71.5028701239892 & 1.32217868273307 \tabularnewline
0.85 & 71.8549510809569 & 1.27270153633466 \tabularnewline
0.86 & 72.2002353565943 & 1.20922364378812 \tabularnewline
0.87 & 72.5363564898622 & 1.13518801308635 \tabularnewline
0.88 & 72.8619171876342 & 1.05688093157447 \tabularnewline
0.89 & 73.1765508760919 & 0.980643799294895 \tabularnewline
0.9 & 73.4806581976296 & 0.908756538038928 \tabularnewline
0.91 & 73.7755972548393 & 0.839370118682349 \tabularnewline
0.92 & 74.0656341617887 & 0.772141185599389 \tabularnewline
0.93 & 74.3627015891386 & 0.720492554277456 \tabularnewline
0.94 & 74.6935066810936 & 0.722136153887862 \tabularnewline
0.95 & 75.1061634421996 & 0.828264223659441 \tabularnewline
0.96 & 75.6714008052975 & 1.0566330262221 \tabularnewline
0.97 & 76.4695303819513 & 1.35938426086079 \tabularnewline
0.98 & 77.5375106790271 & 1.65156395191224 \tabularnewline
0.99 & 78.7293702081788 & 1.90056776238082 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212535&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]56.5908757027799[/C][C]0.124167306158959[/C][/ROW]
[ROW][C]0.02[/C][C]56.6889371688563[/C][C]0.190351068005847[/C][/ROW]
[ROW][C]0.03[/C][C]56.8061179118736[/C][C]0.202904642553649[/C][/ROW]
[ROW][C]0.04[/C][C]56.9209772885362[/C][C]0.20146308224168[/C][/ROW]
[ROW][C]0.05[/C][C]57.0307099609588[/C][C]0.231436619083491[/C][/ROW]
[ROW][C]0.06[/C][C]57.1449731390696[/C][C]0.302184586030612[/C][/ROW]
[ROW][C]0.07[/C][C]57.275224080131[/C][C]0.396432279252409[/C][/ROW]
[ROW][C]0.08[/C][C]57.4277092974277[/C][C]0.490884471008058[/C][/ROW]
[ROW][C]0.09[/C][C]57.6014091422305[/C][C]0.565027883901641[/C][/ROW]
[ROW][C]0.1[/C][C]57.7894469923156[/C][C]0.606300321634932[/C][/ROW]
[ROW][C]0.11[/C][C]57.982156001524[/C][C]0.612750778181591[/C][/ROW]
[ROW][C]0.12[/C][C]58.1702980916006[/C][C]0.591671977436479[/C][/ROW]
[ROW][C]0.13[/C][C]58.3473945989534[/C][C]0.555941791286972[/C][/ROW]
[ROW][C]0.14[/C][C]58.5107274343242[/C][C]0.519439067387745[/C][/ROW]
[ROW][C]0.15[/C][C]58.6611323325277[/C][C]0.493814409115188[/C][/ROW]
[ROW][C]0.16[/C][C]58.802032875475[/C][C]0.486574467230418[/C][/ROW]
[ROW][C]0.17[/C][C]58.9382083423635[/C][C]0.500224768268678[/C][/ROW]
[ROW][C]0.18[/C][C]59.074649338006[/C][C]0.533052229852704[/C][/ROW]
[ROW][C]0.19[/C][C]59.2156723638861[/C][C]0.580308020843367[/C][/ROW]
[ROW][C]0.2[/C][C]59.3643324236679[/C][C]0.635554696963761[/C][/ROW]
[ROW][C]0.21[/C][C]59.5221160800374[/C][C]0.691472911132014[/C][/ROW]
[ROW][C]0.22[/C][C]59.6888914837228[/C][C]0.74117829243201[/C][/ROW]
[ROW][C]0.23[/C][C]59.8630973054495[/C][C]0.778860325778241[/C][/ROW]
[ROW][C]0.24[/C][C]60.0421419729062[/C][C]0.800937440515116[/C][/ROW]
[ROW][C]0.25[/C][C]60.222954162605[/C][C]0.806835386118503[/C][/ROW]
[ROW][C]0.26[/C][C]60.4025901332376[/C][C]0.798886716700898[/C][/ROW]
[ROW][C]0.27[/C][C]60.5787841600935[/C][C]0.781968933382764[/C][/ROW]
[ROW][C]0.28[/C][C]60.7503385687582[/C][C]0.762621725981841[/C][/ROW]
[ROW][C]0.29[/C][C]60.9172888188493[/C][C]0.747420853327908[/C][/ROW]
[ROW][C]0.3[/C][C]61.0808331331788[/C][C]0.74232197461256[/C][/ROW]
[ROW][C]0.31[/C][C]61.2430666290202[/C][C]0.750953439629313[/C][/ROW]
[ROW][C]0.32[/C][C]61.4065919264299[/C][C]0.774510186158172[/C][/ROW]
[ROW][C]0.33[/C][C]61.5740862948068[/C][C]0.811628235363981[/C][/ROW]
[ROW][C]0.34[/C][C]61.7478937507648[/C][C]0.859164577960929[/C][/ROW]
[ROW][C]0.35[/C][C]61.9296890529108[/C][C]0.912591680417126[/C][/ROW]
[ROW][C]0.36[/C][C]62.1202393477099[/C][C]0.966734939473806[/C][/ROW]
[ROW][C]0.37[/C][C]62.3192743054692[/C][C]1.01598818841421[/C][/ROW]
[ROW][C]0.38[/C][C]62.5254674743283[/C][C]1.05504045408635[/C][/ROW]
[ROW][C]0.39[/C][C]62.7365268310125[/C][C]1.07913122142199[/C][/ROW]
[ROW][C]0.4[/C][C]62.9493867774959[/C][C]1.08483933743077[/C][/ROW]
[ROW][C]0.41[/C][C]63.160484750928[/C][C]1.070194875854[/C][/ROW]
[ROW][C]0.42[/C][C]63.366094107439[/C][C]1.03528791427354[/C][/ROW]
[ROW][C]0.43[/C][C]63.562674621622[/C][C]0.981792307997626[/C][/ROW]
[ROW][C]0.44[/C][C]63.747197127372[/C][C]0.913314767768835[/C][/ROW]
[ROW][C]0.45[/C][C]63.9174023038672[/C][C]0.834459128993746[/C][/ROW]
[ROW][C]0.46[/C][C]64.0719652721709[/C][C]0.750569998762666[/C][/ROW]
[ROW][C]0.47[/C][C]64.2105545215028[/C][C]0.666837476256411[/C][/ROW]
[ROW][C]0.48[/C][C]64.3337911215918[/C][C]0.588208958824648[/C][/ROW]
[ROW][C]0.49[/C][C]64.4431277901605[/C][C]0.518841342208735[/C][/ROW]
[ROW][C]0.5[/C][C]64.5406744958713[/C][C]0.461716259030484[/C][/ROW]
[ROW][C]0.51[/C][C]64.6289976069027[/C][C]0.419261850205845[/C][/ROW]
[ROW][C]0.52[/C][C]64.7109149357152[/C][C]0.392371919755029[/C][/ROW]
[ROW][C]0.53[/C][C]64.7893022369603[/C][C]0.381323268909206[/C][/ROW]
[ROW][C]0.54[/C][C]64.8669205285714[/C][C]0.384735201405337[/C][/ROW]
[ROW][C]0.55[/C][C]64.9462697673424[/C][C]0.40074482941342[/C][/ROW]
[ROW][C]0.56[/C][C]65.0294733106839[/C][C]0.426547160803106[/C][/ROW]
[ROW][C]0.57[/C][C]65.118198440227[/C][C]0.459084087623712[/C][/ROW]
[ROW][C]0.58[/C][C]65.2136195197374[/C][C]0.495428495766358[/C][/ROW]
[ROW][C]0.59[/C][C]65.3164305078356[/C][C]0.533067878607707[/C][/ROW]
[ROW][C]0.6[/C][C]65.4269113311436[/C][C]0.569781026553044[/C][/ROW]
[ROW][C]0.61[/C][C]65.5450475402586[/C][C]0.604361315110838[/C][/ROW]
[ROW][C]0.62[/C][C]65.6706950512359[/C][C]0.636463631148975[/C][/ROW]
[ROW][C]0.63[/C][C]65.8037727461836[/C][C]0.666745133987662[/C][/ROW]
[ROW][C]0.64[/C][C]65.9444570113279[/C][C]0.697195298923496[/C][/ROW]
[ROW][C]0.65[/C][C]66.0933460064803[/C][C]0.730289139215981[/C][/ROW]
[ROW][C]0.66[/C][C]66.2515596464132[/C][C]0.769043264216027[/C][/ROW]
[ROW][C]0.67[/C][C]66.4207455902366[/C][C]0.816474585413887[/C][/ROW]
[ROW][C]0.68[/C][C]66.6029728403157[/C][C]0.874321899753884[/C][/ROW]
[ROW][C]0.69[/C][C]66.8005125225983[/C][C]0.942990846860373[/C][/ROW]
[ROW][C]0.7[/C][C]67.0155281879793[/C][C]1.02103660174493[/C][/ROW]
[ROW][C]0.71[/C][C]67.2497218847284[/C][C]1.10478232520235[/C][/ROW]
[ROW][C]0.72[/C][C]67.5040019101098[/C][C]1.18924134227177[/C][/ROW]
[ROW][C]0.73[/C][C]67.7782470366931[/C][C]1.26843339382622[/C][/ROW]
[ROW][C]0.74[/C][C]68.0712339373329[/C][C]1.33684233305872[/C][/ROW]
[ROW][C]0.75[/C][C]68.3807659665521[/C][C]1.38957337951539[/C][/ROW]
[ROW][C]0.76[/C][C]68.7039942346508[/C][C]1.42455649640662[/C][/ROW]
[ROW][C]0.77[/C][C]69.037865285893[/C][C]1.4418104145154[/C][/ROW]
[ROW][C]0.78[/C][C]69.3795801958167[/C][C]1.44422793111075[/C][/ROW]
[ROW][C]0.79[/C][C]69.7269278190261[/C][C]1.43606162619887[/C][/ROW]
[ROW][C]0.8[/C][C]70.078377256367[/C][C]1.42193794302052[/C][/ROW]
[ROW][C]0.81[/C][C]70.4328862508442[/C][C]1.40459904732743[/C][/ROW]
[ROW][C]0.82[/C][C]70.7894886078802[/C][C]1.38425929034507[/C][/ROW]
[ROW][C]0.83[/C][C]71.1468291917322[/C][C]1.35823136930382[/C][/ROW]
[ROW][C]0.84[/C][C]71.5028701239892[/C][C]1.32217868273307[/C][/ROW]
[ROW][C]0.85[/C][C]71.8549510809569[/C][C]1.27270153633466[/C][/ROW]
[ROW][C]0.86[/C][C]72.2002353565943[/C][C]1.20922364378812[/C][/ROW]
[ROW][C]0.87[/C][C]72.5363564898622[/C][C]1.13518801308635[/C][/ROW]
[ROW][C]0.88[/C][C]72.8619171876342[/C][C]1.05688093157447[/C][/ROW]
[ROW][C]0.89[/C][C]73.1765508760919[/C][C]0.980643799294895[/C][/ROW]
[ROW][C]0.9[/C][C]73.4806581976296[/C][C]0.908756538038928[/C][/ROW]
[ROW][C]0.91[/C][C]73.7755972548393[/C][C]0.839370118682349[/C][/ROW]
[ROW][C]0.92[/C][C]74.0656341617887[/C][C]0.772141185599389[/C][/ROW]
[ROW][C]0.93[/C][C]74.3627015891386[/C][C]0.720492554277456[/C][/ROW]
[ROW][C]0.94[/C][C]74.6935066810936[/C][C]0.722136153887862[/C][/ROW]
[ROW][C]0.95[/C][C]75.1061634421996[/C][C]0.828264223659441[/C][/ROW]
[ROW][C]0.96[/C][C]75.6714008052975[/C][C]1.0566330262221[/C][/ROW]
[ROW][C]0.97[/C][C]76.4695303819513[/C][C]1.35938426086079[/C][/ROW]
[ROW][C]0.98[/C][C]77.5375106790271[/C][C]1.65156395191224[/C][/ROW]
[ROW][C]0.99[/C][C]78.7293702081788[/C][C]1.90056776238082[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212535&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212535&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
0.0156.59087570277990.124167306158959
0.0256.68893716885630.190351068005847
0.0356.80611791187360.202904642553649
0.0456.92097728853620.20146308224168
0.0557.03070996095880.231436619083491
0.0657.14497313906960.302184586030612
0.0757.2752240801310.396432279252409
0.0857.42770929742770.490884471008058
0.0957.60140914223050.565027883901641
0.157.78944699231560.606300321634932
0.1157.9821560015240.612750778181591
0.1258.17029809160060.591671977436479
0.1358.34739459895340.555941791286972
0.1458.51072743432420.519439067387745
0.1558.66113233252770.493814409115188
0.1658.8020328754750.486574467230418
0.1758.93820834236350.500224768268678
0.1859.0746493380060.533052229852704
0.1959.21567236388610.580308020843367
0.259.36433242366790.635554696963761
0.2159.52211608003740.691472911132014
0.2259.68889148372280.74117829243201
0.2359.86309730544950.778860325778241
0.2460.04214197290620.800937440515116
0.2560.2229541626050.806835386118503
0.2660.40259013323760.798886716700898
0.2760.57878416009350.781968933382764
0.2860.75033856875820.762621725981841
0.2960.91728881884930.747420853327908
0.361.08083313317880.74232197461256
0.3161.24306662902020.750953439629313
0.3261.40659192642990.774510186158172
0.3361.57408629480680.811628235363981
0.3461.74789375076480.859164577960929
0.3561.92968905291080.912591680417126
0.3662.12023934770990.966734939473806
0.3762.31927430546921.01598818841421
0.3862.52546747432831.05504045408635
0.3962.73652683101251.07913122142199
0.462.94938677749591.08483933743077
0.4163.1604847509281.070194875854
0.4263.3660941074391.03528791427354
0.4363.5626746216220.981792307997626
0.4463.7471971273720.913314767768835
0.4563.91740230386720.834459128993746
0.4664.07196527217090.750569998762666
0.4764.21055452150280.666837476256411
0.4864.33379112159180.588208958824648
0.4964.44312779016050.518841342208735
0.564.54067449587130.461716259030484
0.5164.62899760690270.419261850205845
0.5264.71091493571520.392371919755029
0.5364.78930223696030.381323268909206
0.5464.86692052857140.384735201405337
0.5564.94626976734240.40074482941342
0.5665.02947331068390.426547160803106
0.5765.1181984402270.459084087623712
0.5865.21361951973740.495428495766358
0.5965.31643050783560.533067878607707
0.665.42691133114360.569781026553044
0.6165.54504754025860.604361315110838
0.6265.67069505123590.636463631148975
0.6365.80377274618360.666745133987662
0.6465.94445701132790.697195298923496
0.6566.09334600648030.730289139215981
0.6666.25155964641320.769043264216027
0.6766.42074559023660.816474585413887
0.6866.60297284031570.874321899753884
0.6966.80051252259830.942990846860373
0.767.01552818797931.02103660174493
0.7167.24972188472841.10478232520235
0.7267.50400191010981.18924134227177
0.7367.77824703669311.26843339382622
0.7468.07123393733291.33684233305872
0.7568.38076596655211.38957337951539
0.7668.70399423465081.42455649640662
0.7769.0378652858931.4418104145154
0.7869.37958019581671.44422793111075
0.7969.72692781902611.43606162619887
0.870.0783772563671.42193794302052
0.8170.43288625084421.40459904732743
0.8270.78948860788021.38425929034507
0.8371.14682919173221.35823136930382
0.8471.50287012398921.32217868273307
0.8571.85495108095691.27270153633466
0.8672.20023535659431.20922364378812
0.8772.53635648986221.13518801308635
0.8872.86191718763421.05688093157447
0.8973.17655087609190.980643799294895
0.973.48065819762960.908756538038928
0.9173.77559725483930.839370118682349
0.9274.06563416178870.772141185599389
0.9374.36270158913860.720492554277456
0.9474.69350668109360.722136153887862
0.9575.10616344219960.828264223659441
0.9675.67140080529751.0566330262221
0.9776.46953038195131.35938426086079
0.9877.53751067902711.65156395191224
0.9978.72937020817881.90056776238082


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):
par3 <- '0,01'
par2 <- '0,99'
par1 <- '0.01'
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')