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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 07 Jan 2017 11:18:55 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Jan/07/t1483788335rse0qpxtyizvnnv.htm/, Retrieved Tue, 14 May 2024 21:47:51 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 21:47:51 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
94.46
96.91
101.92
104.53
105.85
106.39
106.08
106.42
106.51
106.59
105.71
104.41
103.04
100.99
100.93
99.31
99.79
99.57
99.11
98.96
97.72
99.35
98.15
97.64
97.49
97.94
98.03
98.05
97.54
98.71
99.33
99.16
98.41
98.43
97.02
97.89
97.92
97.37
97.42
96.12
96.72
96.64
95.28
95.3
95.02
95.57
94.78
95.27
96.14
96.16
95.08
94.39
94.15
94.58
94.16
95.02
94.86
94.49
94.81
94.16
94.83
96.02
95.97
95.88
95.97
97.55
97.49
98.4
98.2
97.16
96.96
96.37
96.34
96.86
96.32
95.44
92.85
92.56
91.74
92.44
93.19
92.62
94.04
93.8
96.73
98.99
100.38
101.07
99.92
101.78
100.91
100.49
101.17
100.25
98.94
99.4
100.02
99.91
99.22
98.84
98.42
97.59
97.07
96.59
95.96
94.22
94.48
93.14
93.73
94.24
98.52
99.09
99.84
99.13
100.88
100.83
101.6
101.8
102.77
103.14

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=&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=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0192.09498092711210.438639406050302
0.0292.46436104691810.279533602333516
0.0392.72675064630550.324620629603031
0.0492.9639244384310.409976295243802
0.0593.20917585951340.460314093237508
0.0693.45090907052120.459905285557115
0.0793.66978404799540.416419453710651
0.0893.85361202327870.350337770933469
0.0994.00038720224030.285423548789744
0.194.11617603519910.238688990918475
0.1194.21082352991690.215992035017556
0.1294.29393113040090.212861051636694
0.1394.37258331341520.221159374559107
0.1494.45091189560180.23412059213712
0.1594.53076017218850.247920596164864
0.1694.61264854710980.261193761064389
0.1794.69657776650140.273809680905171
0.1894.78253598869460.286638410101995
0.1994.87073604035960.301011393546145
0.294.96163778266840.318010227300208
0.2195.05580514397190.337048441625851
0.2295.15366045242890.357663016148566
0.2395.25522417410570.37733329154047
0.2495.35993836463470.393184306047573
0.2595.46664997212090.40298902631481
0.2695.57377806515610.405440928326879
0.2795.67962447009570.400529735237239
0.2895.7827344104350.390314443189053
0.2995.88219422987050.377394117804942
0.395.97777624643280.365410223503418
0.3196.06989693153390.356404256524906
0.3296.1594197819570.351785411966093
0.3396.24738142450580.351781943833303
0.3496.33473196344860.355057205975247
0.3596.42215860634770.359823137269219
0.3696.51001967115150.364827652593181
0.3796.59837400902520.36908633461981
0.3896.68706449951570.371927757817704
0.3996.77580995806450.373083287094915
0.496.86427404436780.372761087168721
0.4196.95210258561790.370963099605333
0.4297.03894066645610.367492288155527
0.4397.12444962440480.362155645127717
0.4497.20833954211440.355490142826512
0.4597.29041907836450.347828367371686
0.4697.37064957679980.340230568473426
0.4797.4491822971040.333384854945863
0.4897.52636041899630.328560259489012
0.4997.60267963690390.326165319473516
0.597.6787166193970.326640026636127
0.5197.75504601959740.329251913708706
0.5297.8321691410860.333758626739546
0.5397.91047034185060.339420835601115
0.5497.99020456601050.345712385301306
0.5598.07150683319280.352032962614687
0.5698.15440724559990.357966395711871
0.5798.23883572187710.363540958602822
0.5898.32460875807120.367937400428572
0.5998.4114029286360.370766577629484
0.698.49873182855150.370947430754889
0.6198.58594969276250.368050368283169
0.6298.67230232969350.361345638084941
0.6398.75703357698840.351116989860833
0.6498.83953643736490.338206971825732
0.6598.91951886871040.324230328911406
0.6698.99714235811110.3114203512093
0.6799.07309231037280.302439144675662
0.6899.14855395437610.299230471849043
0.6999.22509203025480.303115960645624
0.799.30445935758580.314332961893545
0.7199.38837929483590.331928879539221
0.7299.47835186226090.354466697325785
0.7399.57551889271940.379653369164997
0.7499.68059387905050.405742454802657
0.7599.79383113818930.431069681029063
0.7699.91499725370330.454132771412976
0.77100.0433319109360.472770443426386
0.78100.1775417880490.48522702795489
0.79100.315927970110.489694996001643
0.8100.4567541525310.486315087161508
0.81100.5988844145680.477544093717005
0.82100.7425740139450.469268241919357
0.83100.8901676351150.469433989343825
0.84101.0464508559230.486371375399282
0.85101.2185510683090.526051223607115
0.86101.4155043918480.590448452192099
0.87101.6477151633240.679425363605851
0.88101.9264003632880.791126624130242
0.89102.2627638527190.92127021719887
0.9102.666268535831.06066006970396
0.91103.1412453362311.19167385471214
0.92103.6816321112841.28485426577163
0.93104.2653958920551.30153782589123
0.94104.8527731622611.20834832195469
0.95105.3931056280821.0022668412177
0.96105.8403328967080.725341608016826
0.97106.1697719163750.447370007840077
0.98106.3873260583730.229631865619807
0.99106.5224021324940.107770399270122

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 92.0949809271121 & 0.438639406050302 \tabularnewline
0.02 & 92.4643610469181 & 0.279533602333516 \tabularnewline
0.03 & 92.7267506463055 & 0.324620629603031 \tabularnewline
0.04 & 92.963924438431 & 0.409976295243802 \tabularnewline
0.05 & 93.2091758595134 & 0.460314093237508 \tabularnewline
0.06 & 93.4509090705212 & 0.459905285557115 \tabularnewline
0.07 & 93.6697840479954 & 0.416419453710651 \tabularnewline
0.08 & 93.8536120232787 & 0.350337770933469 \tabularnewline
0.09 & 94.0003872022403 & 0.285423548789744 \tabularnewline
0.1 & 94.1161760351991 & 0.238688990918475 \tabularnewline
0.11 & 94.2108235299169 & 0.215992035017556 \tabularnewline
0.12 & 94.2939311304009 & 0.212861051636694 \tabularnewline
0.13 & 94.3725833134152 & 0.221159374559107 \tabularnewline
0.14 & 94.4509118956018 & 0.23412059213712 \tabularnewline
0.15 & 94.5307601721885 & 0.247920596164864 \tabularnewline
0.16 & 94.6126485471098 & 0.261193761064389 \tabularnewline
0.17 & 94.6965777665014 & 0.273809680905171 \tabularnewline
0.18 & 94.7825359886946 & 0.286638410101995 \tabularnewline
0.19 & 94.8707360403596 & 0.301011393546145 \tabularnewline
0.2 & 94.9616377826684 & 0.318010227300208 \tabularnewline
0.21 & 95.0558051439719 & 0.337048441625851 \tabularnewline
0.22 & 95.1536604524289 & 0.357663016148566 \tabularnewline
0.23 & 95.2552241741057 & 0.37733329154047 \tabularnewline
0.24 & 95.3599383646347 & 0.393184306047573 \tabularnewline
0.25 & 95.4666499721209 & 0.40298902631481 \tabularnewline
0.26 & 95.5737780651561 & 0.405440928326879 \tabularnewline
0.27 & 95.6796244700957 & 0.400529735237239 \tabularnewline
0.28 & 95.782734410435 & 0.390314443189053 \tabularnewline
0.29 & 95.8821942298705 & 0.377394117804942 \tabularnewline
0.3 & 95.9777762464328 & 0.365410223503418 \tabularnewline
0.31 & 96.0698969315339 & 0.356404256524906 \tabularnewline
0.32 & 96.159419781957 & 0.351785411966093 \tabularnewline
0.33 & 96.2473814245058 & 0.351781943833303 \tabularnewline
0.34 & 96.3347319634486 & 0.355057205975247 \tabularnewline
0.35 & 96.4221586063477 & 0.359823137269219 \tabularnewline
0.36 & 96.5100196711515 & 0.364827652593181 \tabularnewline
0.37 & 96.5983740090252 & 0.36908633461981 \tabularnewline
0.38 & 96.6870644995157 & 0.371927757817704 \tabularnewline
0.39 & 96.7758099580645 & 0.373083287094915 \tabularnewline
0.4 & 96.8642740443678 & 0.372761087168721 \tabularnewline
0.41 & 96.9521025856179 & 0.370963099605333 \tabularnewline
0.42 & 97.0389406664561 & 0.367492288155527 \tabularnewline
0.43 & 97.1244496244048 & 0.362155645127717 \tabularnewline
0.44 & 97.2083395421144 & 0.355490142826512 \tabularnewline
0.45 & 97.2904190783645 & 0.347828367371686 \tabularnewline
0.46 & 97.3706495767998 & 0.340230568473426 \tabularnewline
0.47 & 97.449182297104 & 0.333384854945863 \tabularnewline
0.48 & 97.5263604189963 & 0.328560259489012 \tabularnewline
0.49 & 97.6026796369039 & 0.326165319473516 \tabularnewline
0.5 & 97.678716619397 & 0.326640026636127 \tabularnewline
0.51 & 97.7550460195974 & 0.329251913708706 \tabularnewline
0.52 & 97.832169141086 & 0.333758626739546 \tabularnewline
0.53 & 97.9104703418506 & 0.339420835601115 \tabularnewline
0.54 & 97.9902045660105 & 0.345712385301306 \tabularnewline
0.55 & 98.0715068331928 & 0.352032962614687 \tabularnewline
0.56 & 98.1544072455999 & 0.357966395711871 \tabularnewline
0.57 & 98.2388357218771 & 0.363540958602822 \tabularnewline
0.58 & 98.3246087580712 & 0.367937400428572 \tabularnewline
0.59 & 98.411402928636 & 0.370766577629484 \tabularnewline
0.6 & 98.4987318285515 & 0.370947430754889 \tabularnewline
0.61 & 98.5859496927625 & 0.368050368283169 \tabularnewline
0.62 & 98.6723023296935 & 0.361345638084941 \tabularnewline
0.63 & 98.7570335769884 & 0.351116989860833 \tabularnewline
0.64 & 98.8395364373649 & 0.338206971825732 \tabularnewline
0.65 & 98.9195188687104 & 0.324230328911406 \tabularnewline
0.66 & 98.9971423581111 & 0.3114203512093 \tabularnewline
0.67 & 99.0730923103728 & 0.302439144675662 \tabularnewline
0.68 & 99.1485539543761 & 0.299230471849043 \tabularnewline
0.69 & 99.2250920302548 & 0.303115960645624 \tabularnewline
0.7 & 99.3044593575858 & 0.314332961893545 \tabularnewline
0.71 & 99.3883792948359 & 0.331928879539221 \tabularnewline
0.72 & 99.4783518622609 & 0.354466697325785 \tabularnewline
0.73 & 99.5755188927194 & 0.379653369164997 \tabularnewline
0.74 & 99.6805938790505 & 0.405742454802657 \tabularnewline
0.75 & 99.7938311381893 & 0.431069681029063 \tabularnewline
0.76 & 99.9149972537033 & 0.454132771412976 \tabularnewline
0.77 & 100.043331910936 & 0.472770443426386 \tabularnewline
0.78 & 100.177541788049 & 0.48522702795489 \tabularnewline
0.79 & 100.31592797011 & 0.489694996001643 \tabularnewline
0.8 & 100.456754152531 & 0.486315087161508 \tabularnewline
0.81 & 100.598884414568 & 0.477544093717005 \tabularnewline
0.82 & 100.742574013945 & 0.469268241919357 \tabularnewline
0.83 & 100.890167635115 & 0.469433989343825 \tabularnewline
0.84 & 101.046450855923 & 0.486371375399282 \tabularnewline
0.85 & 101.218551068309 & 0.526051223607115 \tabularnewline
0.86 & 101.415504391848 & 0.590448452192099 \tabularnewline
0.87 & 101.647715163324 & 0.679425363605851 \tabularnewline
0.88 & 101.926400363288 & 0.791126624130242 \tabularnewline
0.89 & 102.262763852719 & 0.92127021719887 \tabularnewline
0.9 & 102.66626853583 & 1.06066006970396 \tabularnewline
0.91 & 103.141245336231 & 1.19167385471214 \tabularnewline
0.92 & 103.681632111284 & 1.28485426577163 \tabularnewline
0.93 & 104.265395892055 & 1.30153782589123 \tabularnewline
0.94 & 104.852773162261 & 1.20834832195469 \tabularnewline
0.95 & 105.393105628082 & 1.0022668412177 \tabularnewline
0.96 & 105.840332896708 & 0.725341608016826 \tabularnewline
0.97 & 106.169771916375 & 0.447370007840077 \tabularnewline
0.98 & 106.387326058373 & 0.229631865619807 \tabularnewline
0.99 & 106.522402132494 & 0.107770399270122 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]92.0949809271121[/C][C]0.438639406050302[/C][/ROW]
[ROW][C]0.02[/C][C]92.4643610469181[/C][C]0.279533602333516[/C][/ROW]
[ROW][C]0.03[/C][C]92.7267506463055[/C][C]0.324620629603031[/C][/ROW]
[ROW][C]0.04[/C][C]92.963924438431[/C][C]0.409976295243802[/C][/ROW]
[ROW][C]0.05[/C][C]93.2091758595134[/C][C]0.460314093237508[/C][/ROW]
[ROW][C]0.06[/C][C]93.4509090705212[/C][C]0.459905285557115[/C][/ROW]
[ROW][C]0.07[/C][C]93.6697840479954[/C][C]0.416419453710651[/C][/ROW]
[ROW][C]0.08[/C][C]93.8536120232787[/C][C]0.350337770933469[/C][/ROW]
[ROW][C]0.09[/C][C]94.0003872022403[/C][C]0.285423548789744[/C][/ROW]
[ROW][C]0.1[/C][C]94.1161760351991[/C][C]0.238688990918475[/C][/ROW]
[ROW][C]0.11[/C][C]94.2108235299169[/C][C]0.215992035017556[/C][/ROW]
[ROW][C]0.12[/C][C]94.2939311304009[/C][C]0.212861051636694[/C][/ROW]
[ROW][C]0.13[/C][C]94.3725833134152[/C][C]0.221159374559107[/C][/ROW]
[ROW][C]0.14[/C][C]94.4509118956018[/C][C]0.23412059213712[/C][/ROW]
[ROW][C]0.15[/C][C]94.5307601721885[/C][C]0.247920596164864[/C][/ROW]
[ROW][C]0.16[/C][C]94.6126485471098[/C][C]0.261193761064389[/C][/ROW]
[ROW][C]0.17[/C][C]94.6965777665014[/C][C]0.273809680905171[/C][/ROW]
[ROW][C]0.18[/C][C]94.7825359886946[/C][C]0.286638410101995[/C][/ROW]
[ROW][C]0.19[/C][C]94.8707360403596[/C][C]0.301011393546145[/C][/ROW]
[ROW][C]0.2[/C][C]94.9616377826684[/C][C]0.318010227300208[/C][/ROW]
[ROW][C]0.21[/C][C]95.0558051439719[/C][C]0.337048441625851[/C][/ROW]
[ROW][C]0.22[/C][C]95.1536604524289[/C][C]0.357663016148566[/C][/ROW]
[ROW][C]0.23[/C][C]95.2552241741057[/C][C]0.37733329154047[/C][/ROW]
[ROW][C]0.24[/C][C]95.3599383646347[/C][C]0.393184306047573[/C][/ROW]
[ROW][C]0.25[/C][C]95.4666499721209[/C][C]0.40298902631481[/C][/ROW]
[ROW][C]0.26[/C][C]95.5737780651561[/C][C]0.405440928326879[/C][/ROW]
[ROW][C]0.27[/C][C]95.6796244700957[/C][C]0.400529735237239[/C][/ROW]
[ROW][C]0.28[/C][C]95.782734410435[/C][C]0.390314443189053[/C][/ROW]
[ROW][C]0.29[/C][C]95.8821942298705[/C][C]0.377394117804942[/C][/ROW]
[ROW][C]0.3[/C][C]95.9777762464328[/C][C]0.365410223503418[/C][/ROW]
[ROW][C]0.31[/C][C]96.0698969315339[/C][C]0.356404256524906[/C][/ROW]
[ROW][C]0.32[/C][C]96.159419781957[/C][C]0.351785411966093[/C][/ROW]
[ROW][C]0.33[/C][C]96.2473814245058[/C][C]0.351781943833303[/C][/ROW]
[ROW][C]0.34[/C][C]96.3347319634486[/C][C]0.355057205975247[/C][/ROW]
[ROW][C]0.35[/C][C]96.4221586063477[/C][C]0.359823137269219[/C][/ROW]
[ROW][C]0.36[/C][C]96.5100196711515[/C][C]0.364827652593181[/C][/ROW]
[ROW][C]0.37[/C][C]96.5983740090252[/C][C]0.36908633461981[/C][/ROW]
[ROW][C]0.38[/C][C]96.6870644995157[/C][C]0.371927757817704[/C][/ROW]
[ROW][C]0.39[/C][C]96.7758099580645[/C][C]0.373083287094915[/C][/ROW]
[ROW][C]0.4[/C][C]96.8642740443678[/C][C]0.372761087168721[/C][/ROW]
[ROW][C]0.41[/C][C]96.9521025856179[/C][C]0.370963099605333[/C][/ROW]
[ROW][C]0.42[/C][C]97.0389406664561[/C][C]0.367492288155527[/C][/ROW]
[ROW][C]0.43[/C][C]97.1244496244048[/C][C]0.362155645127717[/C][/ROW]
[ROW][C]0.44[/C][C]97.2083395421144[/C][C]0.355490142826512[/C][/ROW]
[ROW][C]0.45[/C][C]97.2904190783645[/C][C]0.347828367371686[/C][/ROW]
[ROW][C]0.46[/C][C]97.3706495767998[/C][C]0.340230568473426[/C][/ROW]
[ROW][C]0.47[/C][C]97.449182297104[/C][C]0.333384854945863[/C][/ROW]
[ROW][C]0.48[/C][C]97.5263604189963[/C][C]0.328560259489012[/C][/ROW]
[ROW][C]0.49[/C][C]97.6026796369039[/C][C]0.326165319473516[/C][/ROW]
[ROW][C]0.5[/C][C]97.678716619397[/C][C]0.326640026636127[/C][/ROW]
[ROW][C]0.51[/C][C]97.7550460195974[/C][C]0.329251913708706[/C][/ROW]
[ROW][C]0.52[/C][C]97.832169141086[/C][C]0.333758626739546[/C][/ROW]
[ROW][C]0.53[/C][C]97.9104703418506[/C][C]0.339420835601115[/C][/ROW]
[ROW][C]0.54[/C][C]97.9902045660105[/C][C]0.345712385301306[/C][/ROW]
[ROW][C]0.55[/C][C]98.0715068331928[/C][C]0.352032962614687[/C][/ROW]
[ROW][C]0.56[/C][C]98.1544072455999[/C][C]0.357966395711871[/C][/ROW]
[ROW][C]0.57[/C][C]98.2388357218771[/C][C]0.363540958602822[/C][/ROW]
[ROW][C]0.58[/C][C]98.3246087580712[/C][C]0.367937400428572[/C][/ROW]
[ROW][C]0.59[/C][C]98.411402928636[/C][C]0.370766577629484[/C][/ROW]
[ROW][C]0.6[/C][C]98.4987318285515[/C][C]0.370947430754889[/C][/ROW]
[ROW][C]0.61[/C][C]98.5859496927625[/C][C]0.368050368283169[/C][/ROW]
[ROW][C]0.62[/C][C]98.6723023296935[/C][C]0.361345638084941[/C][/ROW]
[ROW][C]0.63[/C][C]98.7570335769884[/C][C]0.351116989860833[/C][/ROW]
[ROW][C]0.64[/C][C]98.8395364373649[/C][C]0.338206971825732[/C][/ROW]
[ROW][C]0.65[/C][C]98.9195188687104[/C][C]0.324230328911406[/C][/ROW]
[ROW][C]0.66[/C][C]98.9971423581111[/C][C]0.3114203512093[/C][/ROW]
[ROW][C]0.67[/C][C]99.0730923103728[/C][C]0.302439144675662[/C][/ROW]
[ROW][C]0.68[/C][C]99.1485539543761[/C][C]0.299230471849043[/C][/ROW]
[ROW][C]0.69[/C][C]99.2250920302548[/C][C]0.303115960645624[/C][/ROW]
[ROW][C]0.7[/C][C]99.3044593575858[/C][C]0.314332961893545[/C][/ROW]
[ROW][C]0.71[/C][C]99.3883792948359[/C][C]0.331928879539221[/C][/ROW]
[ROW][C]0.72[/C][C]99.4783518622609[/C][C]0.354466697325785[/C][/ROW]
[ROW][C]0.73[/C][C]99.5755188927194[/C][C]0.379653369164997[/C][/ROW]
[ROW][C]0.74[/C][C]99.6805938790505[/C][C]0.405742454802657[/C][/ROW]
[ROW][C]0.75[/C][C]99.7938311381893[/C][C]0.431069681029063[/C][/ROW]
[ROW][C]0.76[/C][C]99.9149972537033[/C][C]0.454132771412976[/C][/ROW]
[ROW][C]0.77[/C][C]100.043331910936[/C][C]0.472770443426386[/C][/ROW]
[ROW][C]0.78[/C][C]100.177541788049[/C][C]0.48522702795489[/C][/ROW]
[ROW][C]0.79[/C][C]100.31592797011[/C][C]0.489694996001643[/C][/ROW]
[ROW][C]0.8[/C][C]100.456754152531[/C][C]0.486315087161508[/C][/ROW]
[ROW][C]0.81[/C][C]100.598884414568[/C][C]0.477544093717005[/C][/ROW]
[ROW][C]0.82[/C][C]100.742574013945[/C][C]0.469268241919357[/C][/ROW]
[ROW][C]0.83[/C][C]100.890167635115[/C][C]0.469433989343825[/C][/ROW]
[ROW][C]0.84[/C][C]101.046450855923[/C][C]0.486371375399282[/C][/ROW]
[ROW][C]0.85[/C][C]101.218551068309[/C][C]0.526051223607115[/C][/ROW]
[ROW][C]0.86[/C][C]101.415504391848[/C][C]0.590448452192099[/C][/ROW]
[ROW][C]0.87[/C][C]101.647715163324[/C][C]0.679425363605851[/C][/ROW]
[ROW][C]0.88[/C][C]101.926400363288[/C][C]0.791126624130242[/C][/ROW]
[ROW][C]0.89[/C][C]102.262763852719[/C][C]0.92127021719887[/C][/ROW]
[ROW][C]0.9[/C][C]102.66626853583[/C][C]1.06066006970396[/C][/ROW]
[ROW][C]0.91[/C][C]103.141245336231[/C][C]1.19167385471214[/C][/ROW]
[ROW][C]0.92[/C][C]103.681632111284[/C][C]1.28485426577163[/C][/ROW]
[ROW][C]0.93[/C][C]104.265395892055[/C][C]1.30153782589123[/C][/ROW]
[ROW][C]0.94[/C][C]104.852773162261[/C][C]1.20834832195469[/C][/ROW]
[ROW][C]0.95[/C][C]105.393105628082[/C][C]1.0022668412177[/C][/ROW]
[ROW][C]0.96[/C][C]105.840332896708[/C][C]0.725341608016826[/C][/ROW]
[ROW][C]0.97[/C][C]106.169771916375[/C][C]0.447370007840077[/C][/ROW]
[ROW][C]0.98[/C][C]106.387326058373[/C][C]0.229631865619807[/C][/ROW]
[ROW][C]0.99[/C][C]106.522402132494[/C][C]0.107770399270122[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0192.09498092711210.438639406050302
0.0292.46436104691810.279533602333516
0.0392.72675064630550.324620629603031
0.0492.9639244384310.409976295243802
0.0593.20917585951340.460314093237508
0.0693.45090907052120.459905285557115
0.0793.66978404799540.416419453710651
0.0893.85361202327870.350337770933469
0.0994.00038720224030.285423548789744
0.194.11617603519910.238688990918475
0.1194.21082352991690.215992035017556
0.1294.29393113040090.212861051636694
0.1394.37258331341520.221159374559107
0.1494.45091189560180.23412059213712
0.1594.53076017218850.247920596164864
0.1694.61264854710980.261193761064389
0.1794.69657776650140.273809680905171
0.1894.78253598869460.286638410101995
0.1994.87073604035960.301011393546145
0.294.96163778266840.318010227300208
0.2195.05580514397190.337048441625851
0.2295.15366045242890.357663016148566
0.2395.25522417410570.37733329154047
0.2495.35993836463470.393184306047573
0.2595.46664997212090.40298902631481
0.2695.57377806515610.405440928326879
0.2795.67962447009570.400529735237239
0.2895.7827344104350.390314443189053
0.2995.88219422987050.377394117804942
0.395.97777624643280.365410223503418
0.3196.06989693153390.356404256524906
0.3296.1594197819570.351785411966093
0.3396.24738142450580.351781943833303
0.3496.33473196344860.355057205975247
0.3596.42215860634770.359823137269219
0.3696.51001967115150.364827652593181
0.3796.59837400902520.36908633461981
0.3896.68706449951570.371927757817704
0.3996.77580995806450.373083287094915
0.496.86427404436780.372761087168721
0.4196.95210258561790.370963099605333
0.4297.03894066645610.367492288155527
0.4397.12444962440480.362155645127717
0.4497.20833954211440.355490142826512
0.4597.29041907836450.347828367371686
0.4697.37064957679980.340230568473426
0.4797.4491822971040.333384854945863
0.4897.52636041899630.328560259489012
0.4997.60267963690390.326165319473516
0.597.6787166193970.326640026636127
0.5197.75504601959740.329251913708706
0.5297.8321691410860.333758626739546
0.5397.91047034185060.339420835601115
0.5497.99020456601050.345712385301306
0.5598.07150683319280.352032962614687
0.5698.15440724559990.357966395711871
0.5798.23883572187710.363540958602822
0.5898.32460875807120.367937400428572
0.5998.4114029286360.370766577629484
0.698.49873182855150.370947430754889
0.6198.58594969276250.368050368283169
0.6298.67230232969350.361345638084941
0.6398.75703357698840.351116989860833
0.6498.83953643736490.338206971825732
0.6598.91951886871040.324230328911406
0.6698.99714235811110.3114203512093
0.6799.07309231037280.302439144675662
0.6899.14855395437610.299230471849043
0.6999.22509203025480.303115960645624
0.799.30445935758580.314332961893545
0.7199.38837929483590.331928879539221
0.7299.47835186226090.354466697325785
0.7399.57551889271940.379653369164997
0.7499.68059387905050.405742454802657
0.7599.79383113818930.431069681029063
0.7699.91499725370330.454132771412976
0.77100.0433319109360.472770443426386
0.78100.1775417880490.48522702795489
0.79100.315927970110.489694996001643
0.8100.4567541525310.486315087161508
0.81100.5988844145680.477544093717005
0.82100.7425740139450.469268241919357
0.83100.8901676351150.469433989343825
0.84101.0464508559230.486371375399282
0.85101.2185510683090.526051223607115
0.86101.4155043918480.590448452192099
0.87101.6477151633240.679425363605851
0.88101.9264003632880.791126624130242
0.89102.2627638527190.92127021719887
0.9102.666268535831.06066006970396
0.91103.1412453362311.19167385471214
0.92103.6816321112841.28485426577163
0.93104.2653958920551.30153782589123
0.94104.8527731622611.20834832195469
0.95105.3931056280821.0022668412177
0.96105.8403328967080.725341608016826
0.97106.1697719163750.447370007840077
0.98106.3873260583730.229631865619807
0.99106.5224021324940.107770399270122


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')