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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 computationTue, 29 Nov 2011 07:41:15 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/29/t13225704926tczoeah88zxycy.htm/, Retrieved Fri, 19 Apr 2024 03:22:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=148278, Retrieved Fri, 19 Apr 2024 03:22:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordskwantielen
Estimated Impact123

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Stem-and-leaf Plot] [Paper] [2011-11-29 10:42:53] [227e53f633d125e3e89f625705633e7f]
- RMPD  [Percentiles] [Paper] [2011-11-29 12:35:38] [227e53f633d125e3e89f625705633e7f]
- RM        [Harrell-Davis Quantiles] [Paper] [2011-11-29 12:41:15] [065e524ef27b3ebe8baf73e00eb8c266] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
83
79
92
83
92
103
82
86
106
79
86
76
108
82
108
118
127
123
72
105
63
86
58
59
100
100
78
94
105
89
101
92
105
76
80
66
117
94
107
110
110
106
94
71
101
84
89
119
97
82
89
70
101
81
74
107
97
83
95
82
88
74
104
73
73
81
79
83
111
138
81
107
66
81
74
96
86
69
73
71
64
79
60
111
107
90
98
77
93
68
74
70
80
81
72
81
92
81

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148278&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148278&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148278&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.02560.59048621758742.31663410102793
0.03562.11429735425632.63697143019906
0.04563.60785595445822.65118787418127
0.05564.97137082520992.55268871202099
0.06566.17990150764772.44023830160843
0.07567.2454855437042.31726211214538
0.08568.18538088006812.1680365303371
0.09569.01250851981531.9975707682762
0.10569.73831518737091.82825511345244
0.11570.37634253652021.68238042344547
0.12570.94239715604691.57021038233322
0.13571.45261341182991.49123271332219
0.14571.92174591487931.44178129659736
0.15572.36275978733121.42146112579199
0.16572.78738671529451.4336740061327
0.17573.20674970062761.48308729031766
0.18573.63136619351241.57072267999465
0.19574.07036751804521.6898307041662
0.20574.53024045744831.82626481629193
0.21575.01362592943181.96065339445579
0.22575.51868093920992.07305344886363
0.23576.03929178375872.14646148656068
0.24576.56612633535282.17086529719497
0.25577.08824542359982.14403349955596
0.26577.59484726212512.07092129209757
0.27578.07673145209181.96200930114477
0.28578.5272148247181.82970828834017
0.29578.94243781843451.68635377215713
0.30579.32118237027061.54223707346917
0.31579.66441959162061.40493030557072
0.32579.9748021558371.27995650248708
0.33580.25624005082241.17194263254
0.34580.51359963236581.08504032131545
0.35580.75249138409661.02353235847757
0.36580.9790848342450.990688624903247
0.37581.19990521289580.98883797460967
0.38581.42160252360041.01852638201782
0.39581.65071375580161.07828056019479
0.40581.89344755625561.16583335846707
0.41582.15550811566121.27833704071621
0.42582.44195353600531.41260447529617
0.43582.75706865106861.5647758530686
0.44583.10423248870441.73034055451504
0.45583.48577563433261.90369652604038
0.46583.90284372476092.07885644812564
0.47584.35529861110372.24887450661309
0.48584.84169050823732.40743199753944
0.49585.35932218750082.54847501279119
0.50585.90440638277992.6677605584882
0.51586.47229953381482.76173771741785
0.52587.05778627730782.82884934311242
0.53587.65539164181022.86832555886191
0.54588.25970753645932.88139793460205
0.55588.86572911850332.87031806751606
0.56589.4691978391962.83915078175437
0.57590.06693852028022.79357647778302
0.58590.65716060816152.74060453516979
0.59591.23967631475572.68864194479327
0.60591.81597967126342.64607327373784
0.61592.38913739151332.62064607021749
0.62592.96346683991332.61809026647368
0.63593.54401471819592.64068695107699
0.64594.13589414664642.68720495105068
0.65594.74357686549452.75220215998806
0.66595.3702601628152.82732343268566
0.67596.01742540963752.90312888798285
0.68596.68467152926872.9698933748075
0.69597.36984454318673.01957647259639
0.70598.06940621948923.04723735004285
0.71598.77891445653073.05069014189245
0.72599.49345466582583.03036424322167
0.735100.2078879088542.9874017268043
0.745100.9168692205442.92261274535849
0.755101.6147092929392.83496624947931
0.765102.2952517034432.72245630346677
0.775102.9519644755892.5830853725246
0.785103.5783800345372.41752765219886
0.795104.1688923238132.23054689553097
0.805104.719798840572.03137052554506
0.815105.2304133679381.83339529796773
0.825105.7040757347971.65235421872399
0.835106.1489037630421.50560699595946
0.845106.578139361571.41067980418229
0.855107.0099921598191.38305161970389
0.865107.4671088235441.43157145381709
0.875107.976213804921.55693285727328
0.885108.5687159381581.7575517532487
0.895109.2823915632522.03996961151205
0.905110.1622030042082.41913400819985
0.915111.2562685746032.89329131813485
0.925112.60484998053.40472569672131
0.935114.2292979057043.83815375753355
0.945116.1402186518994.09978401271834
0.955118.3880441380214.24432779270187
0.965121.1696923825414.51422131547586
0.975124.9518115978595.25932094243954

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.025 & 60.5904862175874 & 2.31663410102793 \tabularnewline
0.035 & 62.1142973542563 & 2.63697143019906 \tabularnewline
0.045 & 63.6078559544582 & 2.65118787418127 \tabularnewline
0.055 & 64.9713708252099 & 2.55268871202099 \tabularnewline
0.065 & 66.1799015076477 & 2.44023830160843 \tabularnewline
0.075 & 67.245485543704 & 2.31726211214538 \tabularnewline
0.085 & 68.1853808800681 & 2.1680365303371 \tabularnewline
0.095 & 69.0125085198153 & 1.9975707682762 \tabularnewline
0.105 & 69.7383151873709 & 1.82825511345244 \tabularnewline
0.115 & 70.3763425365202 & 1.68238042344547 \tabularnewline
0.125 & 70.9423971560469 & 1.57021038233322 \tabularnewline
0.135 & 71.4526134118299 & 1.49123271332219 \tabularnewline
0.145 & 71.9217459148793 & 1.44178129659736 \tabularnewline
0.155 & 72.3627597873312 & 1.42146112579199 \tabularnewline
0.165 & 72.7873867152945 & 1.4336740061327 \tabularnewline
0.175 & 73.2067497006276 & 1.48308729031766 \tabularnewline
0.185 & 73.6313661935124 & 1.57072267999465 \tabularnewline
0.195 & 74.0703675180452 & 1.6898307041662 \tabularnewline
0.205 & 74.5302404574483 & 1.82626481629193 \tabularnewline
0.215 & 75.0136259294318 & 1.96065339445579 \tabularnewline
0.225 & 75.5186809392099 & 2.07305344886363 \tabularnewline
0.235 & 76.0392917837587 & 2.14646148656068 \tabularnewline
0.245 & 76.5661263353528 & 2.17086529719497 \tabularnewline
0.255 & 77.0882454235998 & 2.14403349955596 \tabularnewline
0.265 & 77.5948472621251 & 2.07092129209757 \tabularnewline
0.275 & 78.0767314520918 & 1.96200930114477 \tabularnewline
0.285 & 78.527214824718 & 1.82970828834017 \tabularnewline
0.295 & 78.9424378184345 & 1.68635377215713 \tabularnewline
0.305 & 79.3211823702706 & 1.54223707346917 \tabularnewline
0.315 & 79.6644195916206 & 1.40493030557072 \tabularnewline
0.325 & 79.974802155837 & 1.27995650248708 \tabularnewline
0.335 & 80.2562400508224 & 1.17194263254 \tabularnewline
0.345 & 80.5135996323658 & 1.08504032131545 \tabularnewline
0.355 & 80.7524913840966 & 1.02353235847757 \tabularnewline
0.365 & 80.979084834245 & 0.990688624903247 \tabularnewline
0.375 & 81.1999052128958 & 0.98883797460967 \tabularnewline
0.385 & 81.4216025236004 & 1.01852638201782 \tabularnewline
0.395 & 81.6507137558016 & 1.07828056019479 \tabularnewline
0.405 & 81.8934475562556 & 1.16583335846707 \tabularnewline
0.415 & 82.1555081156612 & 1.27833704071621 \tabularnewline
0.425 & 82.4419535360053 & 1.41260447529617 \tabularnewline
0.435 & 82.7570686510686 & 1.5647758530686 \tabularnewline
0.445 & 83.1042324887044 & 1.73034055451504 \tabularnewline
0.455 & 83.4857756343326 & 1.90369652604038 \tabularnewline
0.465 & 83.9028437247609 & 2.07885644812564 \tabularnewline
0.475 & 84.3552986111037 & 2.24887450661309 \tabularnewline
0.485 & 84.8416905082373 & 2.40743199753944 \tabularnewline
0.495 & 85.3593221875008 & 2.54847501279119 \tabularnewline
0.505 & 85.9044063827799 & 2.6677605584882 \tabularnewline
0.515 & 86.4722995338148 & 2.76173771741785 \tabularnewline
0.525 & 87.0577862773078 & 2.82884934311242 \tabularnewline
0.535 & 87.6553916418102 & 2.86832555886191 \tabularnewline
0.545 & 88.2597075364593 & 2.88139793460205 \tabularnewline
0.555 & 88.8657291185033 & 2.87031806751606 \tabularnewline
0.565 & 89.469197839196 & 2.83915078175437 \tabularnewline
0.575 & 90.0669385202802 & 2.79357647778302 \tabularnewline
0.585 & 90.6571606081615 & 2.74060453516979 \tabularnewline
0.595 & 91.2396763147557 & 2.68864194479327 \tabularnewline
0.605 & 91.8159796712634 & 2.64607327373784 \tabularnewline
0.615 & 92.3891373915133 & 2.62064607021749 \tabularnewline
0.625 & 92.9634668399133 & 2.61809026647368 \tabularnewline
0.635 & 93.5440147181959 & 2.64068695107699 \tabularnewline
0.645 & 94.1358941466464 & 2.68720495105068 \tabularnewline
0.655 & 94.7435768654945 & 2.75220215998806 \tabularnewline
0.665 & 95.370260162815 & 2.82732343268566 \tabularnewline
0.675 & 96.0174254096375 & 2.90312888798285 \tabularnewline
0.685 & 96.6846715292687 & 2.9698933748075 \tabularnewline
0.695 & 97.3698445431867 & 3.01957647259639 \tabularnewline
0.705 & 98.0694062194892 & 3.04723735004285 \tabularnewline
0.715 & 98.7789144565307 & 3.05069014189245 \tabularnewline
0.725 & 99.4934546658258 & 3.03036424322167 \tabularnewline
0.735 & 100.207887908854 & 2.9874017268043 \tabularnewline
0.745 & 100.916869220544 & 2.92261274535849 \tabularnewline
0.755 & 101.614709292939 & 2.83496624947931 \tabularnewline
0.765 & 102.295251703443 & 2.72245630346677 \tabularnewline
0.775 & 102.951964475589 & 2.5830853725246 \tabularnewline
0.785 & 103.578380034537 & 2.41752765219886 \tabularnewline
0.795 & 104.168892323813 & 2.23054689553097 \tabularnewline
0.805 & 104.71979884057 & 2.03137052554506 \tabularnewline
0.815 & 105.230413367938 & 1.83339529796773 \tabularnewline
0.825 & 105.704075734797 & 1.65235421872399 \tabularnewline
0.835 & 106.148903763042 & 1.50560699595946 \tabularnewline
0.845 & 106.57813936157 & 1.41067980418229 \tabularnewline
0.855 & 107.009992159819 & 1.38305161970389 \tabularnewline
0.865 & 107.467108823544 & 1.43157145381709 \tabularnewline
0.875 & 107.97621380492 & 1.55693285727328 \tabularnewline
0.885 & 108.568715938158 & 1.7575517532487 \tabularnewline
0.895 & 109.282391563252 & 2.03996961151205 \tabularnewline
0.905 & 110.162203004208 & 2.41913400819985 \tabularnewline
0.915 & 111.256268574603 & 2.89329131813485 \tabularnewline
0.925 & 112.6048499805 & 3.40472569672131 \tabularnewline
0.935 & 114.229297905704 & 3.83815375753355 \tabularnewline
0.945 & 116.140218651899 & 4.09978401271834 \tabularnewline
0.955 & 118.388044138021 & 4.24432779270187 \tabularnewline
0.965 & 121.169692382541 & 4.51422131547586 \tabularnewline
0.975 & 124.951811597859 & 5.25932094243954 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148278&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.025[/C][C]60.5904862175874[/C][C]2.31663410102793[/C][/ROW]
[ROW][C]0.035[/C][C]62.1142973542563[/C][C]2.63697143019906[/C][/ROW]
[ROW][C]0.045[/C][C]63.6078559544582[/C][C]2.65118787418127[/C][/ROW]
[ROW][C]0.055[/C][C]64.9713708252099[/C][C]2.55268871202099[/C][/ROW]
[ROW][C]0.065[/C][C]66.1799015076477[/C][C]2.44023830160843[/C][/ROW]
[ROW][C]0.075[/C][C]67.245485543704[/C][C]2.31726211214538[/C][/ROW]
[ROW][C]0.085[/C][C]68.1853808800681[/C][C]2.1680365303371[/C][/ROW]
[ROW][C]0.095[/C][C]69.0125085198153[/C][C]1.9975707682762[/C][/ROW]
[ROW][C]0.105[/C][C]69.7383151873709[/C][C]1.82825511345244[/C][/ROW]
[ROW][C]0.115[/C][C]70.3763425365202[/C][C]1.68238042344547[/C][/ROW]
[ROW][C]0.125[/C][C]70.9423971560469[/C][C]1.57021038233322[/C][/ROW]
[ROW][C]0.135[/C][C]71.4526134118299[/C][C]1.49123271332219[/C][/ROW]
[ROW][C]0.145[/C][C]71.9217459148793[/C][C]1.44178129659736[/C][/ROW]
[ROW][C]0.155[/C][C]72.3627597873312[/C][C]1.42146112579199[/C][/ROW]
[ROW][C]0.165[/C][C]72.7873867152945[/C][C]1.4336740061327[/C][/ROW]
[ROW][C]0.175[/C][C]73.2067497006276[/C][C]1.48308729031766[/C][/ROW]
[ROW][C]0.185[/C][C]73.6313661935124[/C][C]1.57072267999465[/C][/ROW]
[ROW][C]0.195[/C][C]74.0703675180452[/C][C]1.6898307041662[/C][/ROW]
[ROW][C]0.205[/C][C]74.5302404574483[/C][C]1.82626481629193[/C][/ROW]
[ROW][C]0.215[/C][C]75.0136259294318[/C][C]1.96065339445579[/C][/ROW]
[ROW][C]0.225[/C][C]75.5186809392099[/C][C]2.07305344886363[/C][/ROW]
[ROW][C]0.235[/C][C]76.0392917837587[/C][C]2.14646148656068[/C][/ROW]
[ROW][C]0.245[/C][C]76.5661263353528[/C][C]2.17086529719497[/C][/ROW]
[ROW][C]0.255[/C][C]77.0882454235998[/C][C]2.14403349955596[/C][/ROW]
[ROW][C]0.265[/C][C]77.5948472621251[/C][C]2.07092129209757[/C][/ROW]
[ROW][C]0.275[/C][C]78.0767314520918[/C][C]1.96200930114477[/C][/ROW]
[ROW][C]0.285[/C][C]78.527214824718[/C][C]1.82970828834017[/C][/ROW]
[ROW][C]0.295[/C][C]78.9424378184345[/C][C]1.68635377215713[/C][/ROW]
[ROW][C]0.305[/C][C]79.3211823702706[/C][C]1.54223707346917[/C][/ROW]
[ROW][C]0.315[/C][C]79.6644195916206[/C][C]1.40493030557072[/C][/ROW]
[ROW][C]0.325[/C][C]79.974802155837[/C][C]1.27995650248708[/C][/ROW]
[ROW][C]0.335[/C][C]80.2562400508224[/C][C]1.17194263254[/C][/ROW]
[ROW][C]0.345[/C][C]80.5135996323658[/C][C]1.08504032131545[/C][/ROW]
[ROW][C]0.355[/C][C]80.7524913840966[/C][C]1.02353235847757[/C][/ROW]
[ROW][C]0.365[/C][C]80.979084834245[/C][C]0.990688624903247[/C][/ROW]
[ROW][C]0.375[/C][C]81.1999052128958[/C][C]0.98883797460967[/C][/ROW]
[ROW][C]0.385[/C][C]81.4216025236004[/C][C]1.01852638201782[/C][/ROW]
[ROW][C]0.395[/C][C]81.6507137558016[/C][C]1.07828056019479[/C][/ROW]
[ROW][C]0.405[/C][C]81.8934475562556[/C][C]1.16583335846707[/C][/ROW]
[ROW][C]0.415[/C][C]82.1555081156612[/C][C]1.27833704071621[/C][/ROW]
[ROW][C]0.425[/C][C]82.4419535360053[/C][C]1.41260447529617[/C][/ROW]
[ROW][C]0.435[/C][C]82.7570686510686[/C][C]1.5647758530686[/C][/ROW]
[ROW][C]0.445[/C][C]83.1042324887044[/C][C]1.73034055451504[/C][/ROW]
[ROW][C]0.455[/C][C]83.4857756343326[/C][C]1.90369652604038[/C][/ROW]
[ROW][C]0.465[/C][C]83.9028437247609[/C][C]2.07885644812564[/C][/ROW]
[ROW][C]0.475[/C][C]84.3552986111037[/C][C]2.24887450661309[/C][/ROW]
[ROW][C]0.485[/C][C]84.8416905082373[/C][C]2.40743199753944[/C][/ROW]
[ROW][C]0.495[/C][C]85.3593221875008[/C][C]2.54847501279119[/C][/ROW]
[ROW][C]0.505[/C][C]85.9044063827799[/C][C]2.6677605584882[/C][/ROW]
[ROW][C]0.515[/C][C]86.4722995338148[/C][C]2.76173771741785[/C][/ROW]
[ROW][C]0.525[/C][C]87.0577862773078[/C][C]2.82884934311242[/C][/ROW]
[ROW][C]0.535[/C][C]87.6553916418102[/C][C]2.86832555886191[/C][/ROW]
[ROW][C]0.545[/C][C]88.2597075364593[/C][C]2.88139793460205[/C][/ROW]
[ROW][C]0.555[/C][C]88.8657291185033[/C][C]2.87031806751606[/C][/ROW]
[ROW][C]0.565[/C][C]89.469197839196[/C][C]2.83915078175437[/C][/ROW]
[ROW][C]0.575[/C][C]90.0669385202802[/C][C]2.79357647778302[/C][/ROW]
[ROW][C]0.585[/C][C]90.6571606081615[/C][C]2.74060453516979[/C][/ROW]
[ROW][C]0.595[/C][C]91.2396763147557[/C][C]2.68864194479327[/C][/ROW]
[ROW][C]0.605[/C][C]91.8159796712634[/C][C]2.64607327373784[/C][/ROW]
[ROW][C]0.615[/C][C]92.3891373915133[/C][C]2.62064607021749[/C][/ROW]
[ROW][C]0.625[/C][C]92.9634668399133[/C][C]2.61809026647368[/C][/ROW]
[ROW][C]0.635[/C][C]93.5440147181959[/C][C]2.64068695107699[/C][/ROW]
[ROW][C]0.645[/C][C]94.1358941466464[/C][C]2.68720495105068[/C][/ROW]
[ROW][C]0.655[/C][C]94.7435768654945[/C][C]2.75220215998806[/C][/ROW]
[ROW][C]0.665[/C][C]95.370260162815[/C][C]2.82732343268566[/C][/ROW]
[ROW][C]0.675[/C][C]96.0174254096375[/C][C]2.90312888798285[/C][/ROW]
[ROW][C]0.685[/C][C]96.6846715292687[/C][C]2.9698933748075[/C][/ROW]
[ROW][C]0.695[/C][C]97.3698445431867[/C][C]3.01957647259639[/C][/ROW]
[ROW][C]0.705[/C][C]98.0694062194892[/C][C]3.04723735004285[/C][/ROW]
[ROW][C]0.715[/C][C]98.7789144565307[/C][C]3.05069014189245[/C][/ROW]
[ROW][C]0.725[/C][C]99.4934546658258[/C][C]3.03036424322167[/C][/ROW]
[ROW][C]0.735[/C][C]100.207887908854[/C][C]2.9874017268043[/C][/ROW]
[ROW][C]0.745[/C][C]100.916869220544[/C][C]2.92261274535849[/C][/ROW]
[ROW][C]0.755[/C][C]101.614709292939[/C][C]2.83496624947931[/C][/ROW]
[ROW][C]0.765[/C][C]102.295251703443[/C][C]2.72245630346677[/C][/ROW]
[ROW][C]0.775[/C][C]102.951964475589[/C][C]2.5830853725246[/C][/ROW]
[ROW][C]0.785[/C][C]103.578380034537[/C][C]2.41752765219886[/C][/ROW]
[ROW][C]0.795[/C][C]104.168892323813[/C][C]2.23054689553097[/C][/ROW]
[ROW][C]0.805[/C][C]104.71979884057[/C][C]2.03137052554506[/C][/ROW]
[ROW][C]0.815[/C][C]105.230413367938[/C][C]1.83339529796773[/C][/ROW]
[ROW][C]0.825[/C][C]105.704075734797[/C][C]1.65235421872399[/C][/ROW]
[ROW][C]0.835[/C][C]106.148903763042[/C][C]1.50560699595946[/C][/ROW]
[ROW][C]0.845[/C][C]106.57813936157[/C][C]1.41067980418229[/C][/ROW]
[ROW][C]0.855[/C][C]107.009992159819[/C][C]1.38305161970389[/C][/ROW]
[ROW][C]0.865[/C][C]107.467108823544[/C][C]1.43157145381709[/C][/ROW]
[ROW][C]0.875[/C][C]107.97621380492[/C][C]1.55693285727328[/C][/ROW]
[ROW][C]0.885[/C][C]108.568715938158[/C][C]1.7575517532487[/C][/ROW]
[ROW][C]0.895[/C][C]109.282391563252[/C][C]2.03996961151205[/C][/ROW]
[ROW][C]0.905[/C][C]110.162203004208[/C][C]2.41913400819985[/C][/ROW]
[ROW][C]0.915[/C][C]111.256268574603[/C][C]2.89329131813485[/C][/ROW]
[ROW][C]0.925[/C][C]112.6048499805[/C][C]3.40472569672131[/C][/ROW]
[ROW][C]0.935[/C][C]114.229297905704[/C][C]3.83815375753355[/C][/ROW]
[ROW][C]0.945[/C][C]116.140218651899[/C][C]4.09978401271834[/C][/ROW]
[ROW][C]0.955[/C][C]118.388044138021[/C][C]4.24432779270187[/C][/ROW]
[ROW][C]0.965[/C][C]121.169692382541[/C][C]4.51422131547586[/C][/ROW]
[ROW][C]0.975[/C][C]124.951811597859[/C][C]5.25932094243954[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148278&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148278&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
0.02560.59048621758742.31663410102793
0.03562.11429735425632.63697143019906
0.04563.60785595445822.65118787418127
0.05564.97137082520992.55268871202099
0.06566.17990150764772.44023830160843
0.07567.2454855437042.31726211214538
0.08568.18538088006812.1680365303371
0.09569.01250851981531.9975707682762
0.10569.73831518737091.82825511345244
0.11570.37634253652021.68238042344547
0.12570.94239715604691.57021038233322
0.13571.45261341182991.49123271332219
0.14571.92174591487931.44178129659736
0.15572.36275978733121.42146112579199
0.16572.78738671529451.4336740061327
0.17573.20674970062761.48308729031766
0.18573.63136619351241.57072267999465
0.19574.07036751804521.6898307041662
0.20574.53024045744831.82626481629193
0.21575.01362592943181.96065339445579
0.22575.51868093920992.07305344886363
0.23576.03929178375872.14646148656068
0.24576.56612633535282.17086529719497
0.25577.08824542359982.14403349955596
0.26577.59484726212512.07092129209757
0.27578.07673145209181.96200930114477
0.28578.5272148247181.82970828834017
0.29578.94243781843451.68635377215713
0.30579.32118237027061.54223707346917
0.31579.66441959162061.40493030557072
0.32579.9748021558371.27995650248708
0.33580.25624005082241.17194263254
0.34580.51359963236581.08504032131545
0.35580.75249138409661.02353235847757
0.36580.9790848342450.990688624903247
0.37581.19990521289580.98883797460967
0.38581.42160252360041.01852638201782
0.39581.65071375580161.07828056019479
0.40581.89344755625561.16583335846707
0.41582.15550811566121.27833704071621
0.42582.44195353600531.41260447529617
0.43582.75706865106861.5647758530686
0.44583.10423248870441.73034055451504
0.45583.48577563433261.90369652604038
0.46583.90284372476092.07885644812564
0.47584.35529861110372.24887450661309
0.48584.84169050823732.40743199753944
0.49585.35932218750082.54847501279119
0.50585.90440638277992.6677605584882
0.51586.47229953381482.76173771741785
0.52587.05778627730782.82884934311242
0.53587.65539164181022.86832555886191
0.54588.25970753645932.88139793460205
0.55588.86572911850332.87031806751606
0.56589.4691978391962.83915078175437
0.57590.06693852028022.79357647778302
0.58590.65716060816152.74060453516979
0.59591.23967631475572.68864194479327
0.60591.81597967126342.64607327373784
0.61592.38913739151332.62064607021749
0.62592.96346683991332.61809026647368
0.63593.54401471819592.64068695107699
0.64594.13589414664642.68720495105068
0.65594.74357686549452.75220215998806
0.66595.3702601628152.82732343268566
0.67596.01742540963752.90312888798285
0.68596.68467152926872.9698933748075
0.69597.36984454318673.01957647259639
0.70598.06940621948923.04723735004285
0.71598.77891445653073.05069014189245
0.72599.49345466582583.03036424322167
0.735100.2078879088542.9874017268043
0.745100.9168692205442.92261274535849
0.755101.6147092929392.83496624947931
0.765102.2952517034432.72245630346677
0.775102.9519644755892.5830853725246
0.785103.5783800345372.41752765219886
0.795104.1688923238132.23054689553097
0.805104.719798840572.03137052554506
0.815105.2304133679381.83339529796773
0.825105.7040757347971.65235421872399
0.835106.1489037630421.50560699595946
0.845106.578139361571.41067980418229
0.855107.0099921598191.38305161970389
0.865107.4671088235441.43157145381709
0.875107.976213804921.55693285727328
0.885108.5687159381581.7575517532487
0.895109.2823915632522.03996961151205
0.905110.1622030042082.41913400819985
0.915111.2562685746032.89329131813485
0.925112.60484998053.40472569672131
0.935114.2292979057043.83815375753355
0.945116.1402186518994.09978401271834
0.955118.3880441380214.24432779270187
0.965121.1696923825414.51422131547586
0.975124.9518115978595.25932094243954


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 0.025 ; par2 = 0.975 ; 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')