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 computationSat, 21 Dec 2013 11:16:29 -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/2013/Dec/21/t1387642611gx4mfazvh75p0mb.htm/, Retrieved Tue, 16 Apr 2024 10:06:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232495, Retrieved Tue, 16 Apr 2024 10:06:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact174

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [werkloosheidscijf...] [2013-10-08 18:26:09] [6a1a05b03d1c87a66b915fc3d5866cc8]
- RMPD  [Harrell-Davis Quantiles] [consumtieprijs va...] [2013-12-21 15:50:38] [6a1a05b03d1c87a66b915fc3d5866cc8]
-   PD    [Harrell-Davis Quantiles] [] [2013-12-21 16:11:56] [6a1a05b03d1c87a66b915fc3d5866cc8]
- R P         [Harrell-Davis Quantiles] [] [2013-12-21 16:16:29] [4a7f7842fc88d649abcd00dd10ef7b6c] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
125
123
117
114
111
112
144
150
149
134
123
116
117
111
105
102
95
93
124
130
124
115
106
105
105
101
95
93
84
87
116
120
117
109
105
107
109
109
108
107
99
103
131
137
135
124
118
121
121
118
113
107
100
102
130
136
133
120
112
109
110
106
102
98
92
92
120
127
124
114
108
106
111
110
104
100
96
98
122
134
133
125
118
116

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232495&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232495&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232495&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0185.42233853894363.23826712413046
0.0287.57871560351333.28356689355749
0.0389.61640335050212.76386318191901
0.0491.18619607981182.10924488469195
0.0592.32784795089241.74591771495102
0.0693.20942137081581.71299371727416
0.0793.97690739506131.83974500814318
0.0894.71237068506331.99475253490722
0.0995.44582006108192.1207946841449
0.196.17879966561172.19875592058163
0.1196.9019766419072.22732643440351
0.1297.60455150519152.21448594648598
0.1398.27828221739112.17320022872037
0.1498.91869908456022.11766927359632
0.1599.52492227632852.05992510769157
0.16100.0987866531982.0076674809955
0.17100.6436993531481.96452172288688
0.18101.1635258781271.93027904258277
0.19101.6616926116931.90183486704048
0.2102.1406028983311.87432729891178
0.21102.6014025682911.8419919466376
0.22103.0440866297351.80026372852592
0.23103.4678910370481.74713981100319
0.24103.8718593520621.68360817727848
0.25104.2554332468311.61403937985625
0.26104.6189124689751.5449318359234
0.27104.9636730723731.48294310008578
0.28105.2921085931851.43367605157047
0.29105.6073388326931.4003063916999
0.3105.9127871397961.38296775367896
0.31106.2117449856631.37945154366618
0.32106.5070243888451.38640143394393
0.33106.8007583709251.39928309200095
0.34107.0943642381461.41520791194019
0.35107.3886472509711.43123165599942
0.36107.6839994028021.44635457187016
0.37107.9806398140711.46063638817429
0.38108.2788465677451.47549083821134
0.39108.5791406661471.49305757512455
0.4108.8823974765611.51573768736042
0.41109.189876377221.54584384900613
0.42109.5031726310881.58504353029359
0.43109.824104847861.6341532847339
0.44110.1545560068681.69308997736217
0.45110.4962866910431.76051219939237
0.46110.8507379477641.83427262070546
0.47111.2188403715521.91123315734849
0.48111.600847031911.98713690232592
0.49111.9962104544142.05767204543794
0.5112.4035259693732.11775946293888
0.51112.8205624695672.16308385087559
0.52113.2443945897232.19010230024812
0.53113.671636955692.19678637786416
0.54114.0987632652152.18287685837818
0.55114.5224744321632.15072130702697
0.56114.9400656751042.10435680389159
0.57115.3497365544452.04950834862546
0.58115.7507930071051.9928473027735
0.59116.1437062184691.94108388515496
0.6116.5300168479341.90002768829501
0.61116.912099754851.87379090440641
0.62117.2928280706211.86394357959197
0.63117.6751908007461.86973843268919
0.64118.0619216023751.88830489637344
0.65118.4551875714711.91534504749434
0.66118.8563690703151.945837081222
0.67119.265941294081.97489761432477
0.68119.6834532669551.99801069469305
0.69120.1075966185612.01140103904578
0.7120.5363664556312.01232415205049
0.71120.9673346350771.999018231852
0.72121.3980697501241.9715780256382
0.73121.8267327813931.93247765438852
0.74122.252840118861.8879361554164
0.75122.6781142620661.84850180240921
0.76123.1072507455081.82886995751901
0.77123.5483486526511.84675119680037
0.78124.0127234564451.9180021307519
0.79124.5138839238412.05156619462961
0.8125.0656263396592.24341408481698
0.81125.6794562598512.47547006444363
0.82126.3618213369712.7177226083853
0.83127.111829046422.93386859780019
0.84127.9201395045833.08812930135968
0.85128.7695324249233.15262259281967
0.86129.6373039288093.11321572628734
0.87130.4992877664882.97328514684845
0.88131.3350793197212.75412295498488
0.89132.1340978476892.49347257545493
0.9132.9024818025922.24448892981509
0.91133.6712611533682.07758822986818
0.92134.5059958721312.08520409152339
0.93135.5153826881172.37593126782156
0.94136.8492453482753.02571511907446
0.95138.6662030247823.98230110848692
0.96141.0492778974854.95387510989536
0.97143.8761216857255.36611896418935
0.98146.7214283188644.58898634333663
0.99148.9358009433972.62971208255492

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 85.4223385389436 & 3.23826712413046 \tabularnewline
0.02 & 87.5787156035133 & 3.28356689355749 \tabularnewline
0.03 & 89.6164033505021 & 2.76386318191901 \tabularnewline
0.04 & 91.1861960798118 & 2.10924488469195 \tabularnewline
0.05 & 92.3278479508924 & 1.74591771495102 \tabularnewline
0.06 & 93.2094213708158 & 1.71299371727416 \tabularnewline
0.07 & 93.9769073950613 & 1.83974500814318 \tabularnewline
0.08 & 94.7123706850633 & 1.99475253490722 \tabularnewline
0.09 & 95.4458200610819 & 2.1207946841449 \tabularnewline
0.1 & 96.1787996656117 & 2.19875592058163 \tabularnewline
0.11 & 96.901976641907 & 2.22732643440351 \tabularnewline
0.12 & 97.6045515051915 & 2.21448594648598 \tabularnewline
0.13 & 98.2782822173911 & 2.17320022872037 \tabularnewline
0.14 & 98.9186990845602 & 2.11766927359632 \tabularnewline
0.15 & 99.5249222763285 & 2.05992510769157 \tabularnewline
0.16 & 100.098786653198 & 2.0076674809955 \tabularnewline
0.17 & 100.643699353148 & 1.96452172288688 \tabularnewline
0.18 & 101.163525878127 & 1.93027904258277 \tabularnewline
0.19 & 101.661692611693 & 1.90183486704048 \tabularnewline
0.2 & 102.140602898331 & 1.87432729891178 \tabularnewline
0.21 & 102.601402568291 & 1.8419919466376 \tabularnewline
0.22 & 103.044086629735 & 1.80026372852592 \tabularnewline
0.23 & 103.467891037048 & 1.74713981100319 \tabularnewline
0.24 & 103.871859352062 & 1.68360817727848 \tabularnewline
0.25 & 104.255433246831 & 1.61403937985625 \tabularnewline
0.26 & 104.618912468975 & 1.5449318359234 \tabularnewline
0.27 & 104.963673072373 & 1.48294310008578 \tabularnewline
0.28 & 105.292108593185 & 1.43367605157047 \tabularnewline
0.29 & 105.607338832693 & 1.4003063916999 \tabularnewline
0.3 & 105.912787139796 & 1.38296775367896 \tabularnewline
0.31 & 106.211744985663 & 1.37945154366618 \tabularnewline
0.32 & 106.507024388845 & 1.38640143394393 \tabularnewline
0.33 & 106.800758370925 & 1.39928309200095 \tabularnewline
0.34 & 107.094364238146 & 1.41520791194019 \tabularnewline
0.35 & 107.388647250971 & 1.43123165599942 \tabularnewline
0.36 & 107.683999402802 & 1.44635457187016 \tabularnewline
0.37 & 107.980639814071 & 1.46063638817429 \tabularnewline
0.38 & 108.278846567745 & 1.47549083821134 \tabularnewline
0.39 & 108.579140666147 & 1.49305757512455 \tabularnewline
0.4 & 108.882397476561 & 1.51573768736042 \tabularnewline
0.41 & 109.18987637722 & 1.54584384900613 \tabularnewline
0.42 & 109.503172631088 & 1.58504353029359 \tabularnewline
0.43 & 109.82410484786 & 1.6341532847339 \tabularnewline
0.44 & 110.154556006868 & 1.69308997736217 \tabularnewline
0.45 & 110.496286691043 & 1.76051219939237 \tabularnewline
0.46 & 110.850737947764 & 1.83427262070546 \tabularnewline
0.47 & 111.218840371552 & 1.91123315734849 \tabularnewline
0.48 & 111.60084703191 & 1.98713690232592 \tabularnewline
0.49 & 111.996210454414 & 2.05767204543794 \tabularnewline
0.5 & 112.403525969373 & 2.11775946293888 \tabularnewline
0.51 & 112.820562469567 & 2.16308385087559 \tabularnewline
0.52 & 113.244394589723 & 2.19010230024812 \tabularnewline
0.53 & 113.67163695569 & 2.19678637786416 \tabularnewline
0.54 & 114.098763265215 & 2.18287685837818 \tabularnewline
0.55 & 114.522474432163 & 2.15072130702697 \tabularnewline
0.56 & 114.940065675104 & 2.10435680389159 \tabularnewline
0.57 & 115.349736554445 & 2.04950834862546 \tabularnewline
0.58 & 115.750793007105 & 1.9928473027735 \tabularnewline
0.59 & 116.143706218469 & 1.94108388515496 \tabularnewline
0.6 & 116.530016847934 & 1.90002768829501 \tabularnewline
0.61 & 116.91209975485 & 1.87379090440641 \tabularnewline
0.62 & 117.292828070621 & 1.86394357959197 \tabularnewline
0.63 & 117.675190800746 & 1.86973843268919 \tabularnewline
0.64 & 118.061921602375 & 1.88830489637344 \tabularnewline
0.65 & 118.455187571471 & 1.91534504749434 \tabularnewline
0.66 & 118.856369070315 & 1.945837081222 \tabularnewline
0.67 & 119.26594129408 & 1.97489761432477 \tabularnewline
0.68 & 119.683453266955 & 1.99801069469305 \tabularnewline
0.69 & 120.107596618561 & 2.01140103904578 \tabularnewline
0.7 & 120.536366455631 & 2.01232415205049 \tabularnewline
0.71 & 120.967334635077 & 1.999018231852 \tabularnewline
0.72 & 121.398069750124 & 1.9715780256382 \tabularnewline
0.73 & 121.826732781393 & 1.93247765438852 \tabularnewline
0.74 & 122.25284011886 & 1.8879361554164 \tabularnewline
0.75 & 122.678114262066 & 1.84850180240921 \tabularnewline
0.76 & 123.107250745508 & 1.82886995751901 \tabularnewline
0.77 & 123.548348652651 & 1.84675119680037 \tabularnewline
0.78 & 124.012723456445 & 1.9180021307519 \tabularnewline
0.79 & 124.513883923841 & 2.05156619462961 \tabularnewline
0.8 & 125.065626339659 & 2.24341408481698 \tabularnewline
0.81 & 125.679456259851 & 2.47547006444363 \tabularnewline
0.82 & 126.361821336971 & 2.7177226083853 \tabularnewline
0.83 & 127.11182904642 & 2.93386859780019 \tabularnewline
0.84 & 127.920139504583 & 3.08812930135968 \tabularnewline
0.85 & 128.769532424923 & 3.15262259281967 \tabularnewline
0.86 & 129.637303928809 & 3.11321572628734 \tabularnewline
0.87 & 130.499287766488 & 2.97328514684845 \tabularnewline
0.88 & 131.335079319721 & 2.75412295498488 \tabularnewline
0.89 & 132.134097847689 & 2.49347257545493 \tabularnewline
0.9 & 132.902481802592 & 2.24448892981509 \tabularnewline
0.91 & 133.671261153368 & 2.07758822986818 \tabularnewline
0.92 & 134.505995872131 & 2.08520409152339 \tabularnewline
0.93 & 135.515382688117 & 2.37593126782156 \tabularnewline
0.94 & 136.849245348275 & 3.02571511907446 \tabularnewline
0.95 & 138.666203024782 & 3.98230110848692 \tabularnewline
0.96 & 141.049277897485 & 4.95387510989536 \tabularnewline
0.97 & 143.876121685725 & 5.36611896418935 \tabularnewline
0.98 & 146.721428318864 & 4.58898634333663 \tabularnewline
0.99 & 148.935800943397 & 2.62971208255492 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232495&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]85.4223385389436[/C][C]3.23826712413046[/C][/ROW]
[ROW][C]0.02[/C][C]87.5787156035133[/C][C]3.28356689355749[/C][/ROW]
[ROW][C]0.03[/C][C]89.6164033505021[/C][C]2.76386318191901[/C][/ROW]
[ROW][C]0.04[/C][C]91.1861960798118[/C][C]2.10924488469195[/C][/ROW]
[ROW][C]0.05[/C][C]92.3278479508924[/C][C]1.74591771495102[/C][/ROW]
[ROW][C]0.06[/C][C]93.2094213708158[/C][C]1.71299371727416[/C][/ROW]
[ROW][C]0.07[/C][C]93.9769073950613[/C][C]1.83974500814318[/C][/ROW]
[ROW][C]0.08[/C][C]94.7123706850633[/C][C]1.99475253490722[/C][/ROW]
[ROW][C]0.09[/C][C]95.4458200610819[/C][C]2.1207946841449[/C][/ROW]
[ROW][C]0.1[/C][C]96.1787996656117[/C][C]2.19875592058163[/C][/ROW]
[ROW][C]0.11[/C][C]96.901976641907[/C][C]2.22732643440351[/C][/ROW]
[ROW][C]0.12[/C][C]97.6045515051915[/C][C]2.21448594648598[/C][/ROW]
[ROW][C]0.13[/C][C]98.2782822173911[/C][C]2.17320022872037[/C][/ROW]
[ROW][C]0.14[/C][C]98.9186990845602[/C][C]2.11766927359632[/C][/ROW]
[ROW][C]0.15[/C][C]99.5249222763285[/C][C]2.05992510769157[/C][/ROW]
[ROW][C]0.16[/C][C]100.098786653198[/C][C]2.0076674809955[/C][/ROW]
[ROW][C]0.17[/C][C]100.643699353148[/C][C]1.96452172288688[/C][/ROW]
[ROW][C]0.18[/C][C]101.163525878127[/C][C]1.93027904258277[/C][/ROW]
[ROW][C]0.19[/C][C]101.661692611693[/C][C]1.90183486704048[/C][/ROW]
[ROW][C]0.2[/C][C]102.140602898331[/C][C]1.87432729891178[/C][/ROW]
[ROW][C]0.21[/C][C]102.601402568291[/C][C]1.8419919466376[/C][/ROW]
[ROW][C]0.22[/C][C]103.044086629735[/C][C]1.80026372852592[/C][/ROW]
[ROW][C]0.23[/C][C]103.467891037048[/C][C]1.74713981100319[/C][/ROW]
[ROW][C]0.24[/C][C]103.871859352062[/C][C]1.68360817727848[/C][/ROW]
[ROW][C]0.25[/C][C]104.255433246831[/C][C]1.61403937985625[/C][/ROW]
[ROW][C]0.26[/C][C]104.618912468975[/C][C]1.5449318359234[/C][/ROW]
[ROW][C]0.27[/C][C]104.963673072373[/C][C]1.48294310008578[/C][/ROW]
[ROW][C]0.28[/C][C]105.292108593185[/C][C]1.43367605157047[/C][/ROW]
[ROW][C]0.29[/C][C]105.607338832693[/C][C]1.4003063916999[/C][/ROW]
[ROW][C]0.3[/C][C]105.912787139796[/C][C]1.38296775367896[/C][/ROW]
[ROW][C]0.31[/C][C]106.211744985663[/C][C]1.37945154366618[/C][/ROW]
[ROW][C]0.32[/C][C]106.507024388845[/C][C]1.38640143394393[/C][/ROW]
[ROW][C]0.33[/C][C]106.800758370925[/C][C]1.39928309200095[/C][/ROW]
[ROW][C]0.34[/C][C]107.094364238146[/C][C]1.41520791194019[/C][/ROW]
[ROW][C]0.35[/C][C]107.388647250971[/C][C]1.43123165599942[/C][/ROW]
[ROW][C]0.36[/C][C]107.683999402802[/C][C]1.44635457187016[/C][/ROW]
[ROW][C]0.37[/C][C]107.980639814071[/C][C]1.46063638817429[/C][/ROW]
[ROW][C]0.38[/C][C]108.278846567745[/C][C]1.47549083821134[/C][/ROW]
[ROW][C]0.39[/C][C]108.579140666147[/C][C]1.49305757512455[/C][/ROW]
[ROW][C]0.4[/C][C]108.882397476561[/C][C]1.51573768736042[/C][/ROW]
[ROW][C]0.41[/C][C]109.18987637722[/C][C]1.54584384900613[/C][/ROW]
[ROW][C]0.42[/C][C]109.503172631088[/C][C]1.58504353029359[/C][/ROW]
[ROW][C]0.43[/C][C]109.82410484786[/C][C]1.6341532847339[/C][/ROW]
[ROW][C]0.44[/C][C]110.154556006868[/C][C]1.69308997736217[/C][/ROW]
[ROW][C]0.45[/C][C]110.496286691043[/C][C]1.76051219939237[/C][/ROW]
[ROW][C]0.46[/C][C]110.850737947764[/C][C]1.83427262070546[/C][/ROW]
[ROW][C]0.47[/C][C]111.218840371552[/C][C]1.91123315734849[/C][/ROW]
[ROW][C]0.48[/C][C]111.60084703191[/C][C]1.98713690232592[/C][/ROW]
[ROW][C]0.49[/C][C]111.996210454414[/C][C]2.05767204543794[/C][/ROW]
[ROW][C]0.5[/C][C]112.403525969373[/C][C]2.11775946293888[/C][/ROW]
[ROW][C]0.51[/C][C]112.820562469567[/C][C]2.16308385087559[/C][/ROW]
[ROW][C]0.52[/C][C]113.244394589723[/C][C]2.19010230024812[/C][/ROW]
[ROW][C]0.53[/C][C]113.67163695569[/C][C]2.19678637786416[/C][/ROW]
[ROW][C]0.54[/C][C]114.098763265215[/C][C]2.18287685837818[/C][/ROW]
[ROW][C]0.55[/C][C]114.522474432163[/C][C]2.15072130702697[/C][/ROW]
[ROW][C]0.56[/C][C]114.940065675104[/C][C]2.10435680389159[/C][/ROW]
[ROW][C]0.57[/C][C]115.349736554445[/C][C]2.04950834862546[/C][/ROW]
[ROW][C]0.58[/C][C]115.750793007105[/C][C]1.9928473027735[/C][/ROW]
[ROW][C]0.59[/C][C]116.143706218469[/C][C]1.94108388515496[/C][/ROW]
[ROW][C]0.6[/C][C]116.530016847934[/C][C]1.90002768829501[/C][/ROW]
[ROW][C]0.61[/C][C]116.91209975485[/C][C]1.87379090440641[/C][/ROW]
[ROW][C]0.62[/C][C]117.292828070621[/C][C]1.86394357959197[/C][/ROW]
[ROW][C]0.63[/C][C]117.675190800746[/C][C]1.86973843268919[/C][/ROW]
[ROW][C]0.64[/C][C]118.061921602375[/C][C]1.88830489637344[/C][/ROW]
[ROW][C]0.65[/C][C]118.455187571471[/C][C]1.91534504749434[/C][/ROW]
[ROW][C]0.66[/C][C]118.856369070315[/C][C]1.945837081222[/C][/ROW]
[ROW][C]0.67[/C][C]119.26594129408[/C][C]1.97489761432477[/C][/ROW]
[ROW][C]0.68[/C][C]119.683453266955[/C][C]1.99801069469305[/C][/ROW]
[ROW][C]0.69[/C][C]120.107596618561[/C][C]2.01140103904578[/C][/ROW]
[ROW][C]0.7[/C][C]120.536366455631[/C][C]2.01232415205049[/C][/ROW]
[ROW][C]0.71[/C][C]120.967334635077[/C][C]1.999018231852[/C][/ROW]
[ROW][C]0.72[/C][C]121.398069750124[/C][C]1.9715780256382[/C][/ROW]
[ROW][C]0.73[/C][C]121.826732781393[/C][C]1.93247765438852[/C][/ROW]
[ROW][C]0.74[/C][C]122.25284011886[/C][C]1.8879361554164[/C][/ROW]
[ROW][C]0.75[/C][C]122.678114262066[/C][C]1.84850180240921[/C][/ROW]
[ROW][C]0.76[/C][C]123.107250745508[/C][C]1.82886995751901[/C][/ROW]
[ROW][C]0.77[/C][C]123.548348652651[/C][C]1.84675119680037[/C][/ROW]
[ROW][C]0.78[/C][C]124.012723456445[/C][C]1.9180021307519[/C][/ROW]
[ROW][C]0.79[/C][C]124.513883923841[/C][C]2.05156619462961[/C][/ROW]
[ROW][C]0.8[/C][C]125.065626339659[/C][C]2.24341408481698[/C][/ROW]
[ROW][C]0.81[/C][C]125.679456259851[/C][C]2.47547006444363[/C][/ROW]
[ROW][C]0.82[/C][C]126.361821336971[/C][C]2.7177226083853[/C][/ROW]
[ROW][C]0.83[/C][C]127.11182904642[/C][C]2.93386859780019[/C][/ROW]
[ROW][C]0.84[/C][C]127.920139504583[/C][C]3.08812930135968[/C][/ROW]
[ROW][C]0.85[/C][C]128.769532424923[/C][C]3.15262259281967[/C][/ROW]
[ROW][C]0.86[/C][C]129.637303928809[/C][C]3.11321572628734[/C][/ROW]
[ROW][C]0.87[/C][C]130.499287766488[/C][C]2.97328514684845[/C][/ROW]
[ROW][C]0.88[/C][C]131.335079319721[/C][C]2.75412295498488[/C][/ROW]
[ROW][C]0.89[/C][C]132.134097847689[/C][C]2.49347257545493[/C][/ROW]
[ROW][C]0.9[/C][C]132.902481802592[/C][C]2.24448892981509[/C][/ROW]
[ROW][C]0.91[/C][C]133.671261153368[/C][C]2.07758822986818[/C][/ROW]
[ROW][C]0.92[/C][C]134.505995872131[/C][C]2.08520409152339[/C][/ROW]
[ROW][C]0.93[/C][C]135.515382688117[/C][C]2.37593126782156[/C][/ROW]
[ROW][C]0.94[/C][C]136.849245348275[/C][C]3.02571511907446[/C][/ROW]
[ROW][C]0.95[/C][C]138.666203024782[/C][C]3.98230110848692[/C][/ROW]
[ROW][C]0.96[/C][C]141.049277897485[/C][C]4.95387510989536[/C][/ROW]
[ROW][C]0.97[/C][C]143.876121685725[/C][C]5.36611896418935[/C][/ROW]
[ROW][C]0.98[/C][C]146.721428318864[/C][C]4.58898634333663[/C][/ROW]
[ROW][C]0.99[/C][C]148.935800943397[/C][C]2.62971208255492[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232495&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232495&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
0.0185.42233853894363.23826712413046
0.0287.57871560351333.28356689355749
0.0389.61640335050212.76386318191901
0.0491.18619607981182.10924488469195
0.0592.32784795089241.74591771495102
0.0693.20942137081581.71299371727416
0.0793.97690739506131.83974500814318
0.0894.71237068506331.99475253490722
0.0995.44582006108192.1207946841449
0.196.17879966561172.19875592058163
0.1196.9019766419072.22732643440351
0.1297.60455150519152.21448594648598
0.1398.27828221739112.17320022872037
0.1498.91869908456022.11766927359632
0.1599.52492227632852.05992510769157
0.16100.0987866531982.0076674809955
0.17100.6436993531481.96452172288688
0.18101.1635258781271.93027904258277
0.19101.6616926116931.90183486704048
0.2102.1406028983311.87432729891178
0.21102.6014025682911.8419919466376
0.22103.0440866297351.80026372852592
0.23103.4678910370481.74713981100319
0.24103.8718593520621.68360817727848
0.25104.2554332468311.61403937985625
0.26104.6189124689751.5449318359234
0.27104.9636730723731.48294310008578
0.28105.2921085931851.43367605157047
0.29105.6073388326931.4003063916999
0.3105.9127871397961.38296775367896
0.31106.2117449856631.37945154366618
0.32106.5070243888451.38640143394393
0.33106.8007583709251.39928309200095
0.34107.0943642381461.41520791194019
0.35107.3886472509711.43123165599942
0.36107.6839994028021.44635457187016
0.37107.9806398140711.46063638817429
0.38108.2788465677451.47549083821134
0.39108.5791406661471.49305757512455
0.4108.8823974765611.51573768736042
0.41109.189876377221.54584384900613
0.42109.5031726310881.58504353029359
0.43109.824104847861.6341532847339
0.44110.1545560068681.69308997736217
0.45110.4962866910431.76051219939237
0.46110.8507379477641.83427262070546
0.47111.2188403715521.91123315734849
0.48111.600847031911.98713690232592
0.49111.9962104544142.05767204543794
0.5112.4035259693732.11775946293888
0.51112.8205624695672.16308385087559
0.52113.2443945897232.19010230024812
0.53113.671636955692.19678637786416
0.54114.0987632652152.18287685837818
0.55114.5224744321632.15072130702697
0.56114.9400656751042.10435680389159
0.57115.3497365544452.04950834862546
0.58115.7507930071051.9928473027735
0.59116.1437062184691.94108388515496
0.6116.5300168479341.90002768829501
0.61116.912099754851.87379090440641
0.62117.2928280706211.86394357959197
0.63117.6751908007461.86973843268919
0.64118.0619216023751.88830489637344
0.65118.4551875714711.91534504749434
0.66118.8563690703151.945837081222
0.67119.265941294081.97489761432477
0.68119.6834532669551.99801069469305
0.69120.1075966185612.01140103904578
0.7120.5363664556312.01232415205049
0.71120.9673346350771.999018231852
0.72121.3980697501241.9715780256382
0.73121.8267327813931.93247765438852
0.74122.252840118861.8879361554164
0.75122.6781142620661.84850180240921
0.76123.1072507455081.82886995751901
0.77123.5483486526511.84675119680037
0.78124.0127234564451.9180021307519
0.79124.5138839238412.05156619462961
0.8125.0656263396592.24341408481698
0.81125.6794562598512.47547006444363
0.82126.3618213369712.7177226083853
0.83127.111829046422.93386859780019
0.84127.9201395045833.08812930135968
0.85128.7695324249233.15262259281967
0.86129.6373039288093.11321572628734
0.87130.4992877664882.97328514684845
0.88131.3350793197212.75412295498488
0.89132.1340978476892.49347257545493
0.9132.9024818025922.24448892981509
0.91133.6712611533682.07758822986818
0.92134.5059958721312.08520409152339
0.93135.5153826881172.37593126782156
0.94136.8492453482753.02571511907446
0.95138.6662030247823.98230110848692
0.96141.0492778974854.95387510989536
0.97143.8761216857255.36611896418935
0.98146.7214283188644.58898634333663
0.99148.9358009433972.62971208255492


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')