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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 computationSun, 28 Feb 2016 13:59:43 +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/2016/Feb/28/t1456668025lu3ku9say1sazqa.htm/, Retrieved Sat, 04 May 2024 23:34:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292955, Retrieved Sat, 04 May 2024 23:34:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164

Tree of Dependent Computations

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- RMPD    [Harrell-Davis Quantiles] [] [2016-02-28 13:59:43] [567a9be58124adae7ccc8a0c8709ba48] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
84.97
85.57
85.74
85.88
85.88
85.96
85.96
85.99
86.02
86.14
86.3
86.32
86.32
86.77
87.47
87.39
87.3
87.31
87.31
87.38
87.4
87.32
87.37
87.4
87.4
87.89
87.7
87.89
88.02
88.08
88.08
88.15
88.21
88.41
88.39
88.41
88.41
89.1
90.35
90.61
91.18
91.22
91.22
91.4
91.52
91.68
91.71
91.77
91.77
92.16
93.64
93.78
93.96
93.82
93.82
93.89
94.05
94.46
94.62
94.72
94.72
95.76
96.14
97.11
97.19
97.43
97.43
97.56
97.66
97.75
97.82
97.82
97.82
98.35
98.19
98.19
98.21
98.22
98.26
98.23
98.26
98.5
98.51
98.51
98.51
98.89
99.55
99.9
100.12
100.09
100.09
100.09
100.46
100.71
100.79
100.79
100.93
101.15
101.53
101.91
102.18
102.24
102.2
102.32
102.43
102.45
102.84
102.96
102.96
103.1
103.4
103.74
103.97
104.29
104.33
104.46
104.9
105.31
105.63
105.68

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'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292955&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292955&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292955&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0185.28517427041940.393335385493334
0.0285.60611693821930.216885123991609
0.0385.78749994044970.136166112861569
0.0485.88767825423020.109134088485548
0.0585.9604628696060.123004453522116
0.0686.03415443898450.169684311626756
0.0786.12435801539790.238936641441684
0.0886.23888409429540.318816839551325
0.0986.37869552813690.393839976502061
0.186.53821914846020.44634732933382
0.1186.70661883816240.462409779511899
0.1286.8706998735110.438696074599212
0.1387.018815079890.384799929175719
0.1487.14416975663670.318368552886143
0.1587.24612409734510.258577779321256
0.1687.32924167056280.220112105649115
0.1787.40094046314350.20941455418784
0.1887.46897024469050.223110165452243
0.1987.53961791050720.252313445948142
0.287.61698364228590.288755903907818
0.2187.70322978338070.327727371242948
0.2287.79947049966390.369012672351638
0.2387.90688514383990.416791340395397
0.2488.02764330687760.47827084831489
0.2588.16531115701810.560377999021516
0.2688.32456723521840.665916326787892
0.2788.51026998121290.792398521587953
0.2888.72613716060390.931105442108435
0.2988.9734511131351.06811404324862
0.389.25023329647281.18802261647418
0.3189.551210680931.27808101444351
0.3289.86865174508251.33011627606256
0.3390.19386086386351.34435589396989
0.3490.51889376915421.32795381156076
0.3590.83798320260591.29419116488052
0.3691.14827375745421.25678441089747
0.3791.4497146274011.22784879094074
0.3891.74424951158511.21342250655384
0.3992.03466321765481.2129243581774
0.492.32351739247251.22162453225895
0.4192.61251794859341.23300516228006
0.4292.90245122514391.24227752523825
0.4393.19359082050911.24930536652555
0.4493.48630194154891.25710194264016
0.4593.78151485442791.27050528456379
0.4694.08081445785121.29376423919353
0.4794.38606140268611.3276129269642
0.4894.69865316597741.36775671825093
0.4995.01867922865331.40566748950685
0.595.34427345821341.43009515698498
0.5195.67140700730071.43067990747609
0.5295.99422306889521.40028543606948
0.5396.30584363894291.33636258443056
0.5496.59943745742141.2420504438216
0.5596.86927270793941.12456332946568
0.5697.11150410508710.994046365179789
0.5797.32454519611050.861346134666808
0.5897.50901197030450.736092116529097
0.5997.66734426833480.625350926628502
0.697.80327863978480.53337608161126
0.6197.92134507724330.462426364586153
0.6298.02650098799190.413423150598023
0.6398.12392763146130.386538182422544
0.6498.218931524170.382684772304909
0.6598.31684438995580.401705096225538
0.6698.42281533797920.442406388013946
0.6798.54143798307180.50074258193085
0.6898.67623844993650.570586476838119
0.6998.82914037016220.643579196761853
0.799.00008507845140.710684849313381
0.7199.18698650332960.763472839166489
0.7299.38612522455080.796445252517178
0.7399.59294985065410.808001324166513
0.7499.80310285521020.801104390328327
0.75100.0133833749340.782883444735464
0.76100.2223481935180.761601519924413
0.77100.4303446628750.744870031874579
0.78100.6389381506760.736926245016652
0.79100.849893377920.736721053422532
0.8101.0640412754880.738400677255397
0.81101.2804563739320.734089512037129
0.82101.4963263374590.71616372487272
0.83101.7076771060610.681405977297619
0.84101.9107622636250.632781000229477
0.85102.1035885535630.578802674261259
0.86102.2869492123460.530401908410146
0.87102.4645864241690.496997033943822
0.88102.6425469361460.483448540660046
0.89102.828053677880.489547711484251
0.9103.0280537824430.511252812399847
0.91103.2473354472670.539719253878307
0.92103.4865114944890.560504485632412
0.93103.7415440407510.558631134974854
0.94104.00738139390.531768781182371
0.95104.2856060514810.500913651426658
0.96104.5885546570360.495988104070354
0.97104.9266979724960.502621432766931
0.98105.2761812664250.440615838770933
0.99105.5566264293080.245758309658877

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 85.2851742704194 & 0.393335385493334 \tabularnewline
0.02 & 85.6061169382193 & 0.216885123991609 \tabularnewline
0.03 & 85.7874999404497 & 0.136166112861569 \tabularnewline
0.04 & 85.8876782542302 & 0.109134088485548 \tabularnewline
0.05 & 85.960462869606 & 0.123004453522116 \tabularnewline
0.06 & 86.0341544389845 & 0.169684311626756 \tabularnewline
0.07 & 86.1243580153979 & 0.238936641441684 \tabularnewline
0.08 & 86.2388840942954 & 0.318816839551325 \tabularnewline
0.09 & 86.3786955281369 & 0.393839976502061 \tabularnewline
0.1 & 86.5382191484602 & 0.44634732933382 \tabularnewline
0.11 & 86.7066188381624 & 0.462409779511899 \tabularnewline
0.12 & 86.870699873511 & 0.438696074599212 \tabularnewline
0.13 & 87.01881507989 & 0.384799929175719 \tabularnewline
0.14 & 87.1441697566367 & 0.318368552886143 \tabularnewline
0.15 & 87.2461240973451 & 0.258577779321256 \tabularnewline
0.16 & 87.3292416705628 & 0.220112105649115 \tabularnewline
0.17 & 87.4009404631435 & 0.20941455418784 \tabularnewline
0.18 & 87.4689702446905 & 0.223110165452243 \tabularnewline
0.19 & 87.5396179105072 & 0.252313445948142 \tabularnewline
0.2 & 87.6169836422859 & 0.288755903907818 \tabularnewline
0.21 & 87.7032297833807 & 0.327727371242948 \tabularnewline
0.22 & 87.7994704996639 & 0.369012672351638 \tabularnewline
0.23 & 87.9068851438399 & 0.416791340395397 \tabularnewline
0.24 & 88.0276433068776 & 0.47827084831489 \tabularnewline
0.25 & 88.1653111570181 & 0.560377999021516 \tabularnewline
0.26 & 88.3245672352184 & 0.665916326787892 \tabularnewline
0.27 & 88.5102699812129 & 0.792398521587953 \tabularnewline
0.28 & 88.7261371606039 & 0.931105442108435 \tabularnewline
0.29 & 88.973451113135 & 1.06811404324862 \tabularnewline
0.3 & 89.2502332964728 & 1.18802261647418 \tabularnewline
0.31 & 89.55121068093 & 1.27808101444351 \tabularnewline
0.32 & 89.8686517450825 & 1.33011627606256 \tabularnewline
0.33 & 90.1938608638635 & 1.34435589396989 \tabularnewline
0.34 & 90.5188937691542 & 1.32795381156076 \tabularnewline
0.35 & 90.8379832026059 & 1.29419116488052 \tabularnewline
0.36 & 91.1482737574542 & 1.25678441089747 \tabularnewline
0.37 & 91.449714627401 & 1.22784879094074 \tabularnewline
0.38 & 91.7442495115851 & 1.21342250655384 \tabularnewline
0.39 & 92.0346632176548 & 1.2129243581774 \tabularnewline
0.4 & 92.3235173924725 & 1.22162453225895 \tabularnewline
0.41 & 92.6125179485934 & 1.23300516228006 \tabularnewline
0.42 & 92.9024512251439 & 1.24227752523825 \tabularnewline
0.43 & 93.1935908205091 & 1.24930536652555 \tabularnewline
0.44 & 93.4863019415489 & 1.25710194264016 \tabularnewline
0.45 & 93.7815148544279 & 1.27050528456379 \tabularnewline
0.46 & 94.0808144578512 & 1.29376423919353 \tabularnewline
0.47 & 94.3860614026861 & 1.3276129269642 \tabularnewline
0.48 & 94.6986531659774 & 1.36775671825093 \tabularnewline
0.49 & 95.0186792286533 & 1.40566748950685 \tabularnewline
0.5 & 95.3442734582134 & 1.43009515698498 \tabularnewline
0.51 & 95.6714070073007 & 1.43067990747609 \tabularnewline
0.52 & 95.9942230688952 & 1.40028543606948 \tabularnewline
0.53 & 96.3058436389429 & 1.33636258443056 \tabularnewline
0.54 & 96.5994374574214 & 1.2420504438216 \tabularnewline
0.55 & 96.8692727079394 & 1.12456332946568 \tabularnewline
0.56 & 97.1115041050871 & 0.994046365179789 \tabularnewline
0.57 & 97.3245451961105 & 0.861346134666808 \tabularnewline
0.58 & 97.5090119703045 & 0.736092116529097 \tabularnewline
0.59 & 97.6673442683348 & 0.625350926628502 \tabularnewline
0.6 & 97.8032786397848 & 0.53337608161126 \tabularnewline
0.61 & 97.9213450772433 & 0.462426364586153 \tabularnewline
0.62 & 98.0265009879919 & 0.413423150598023 \tabularnewline
0.63 & 98.1239276314613 & 0.386538182422544 \tabularnewline
0.64 & 98.21893152417 & 0.382684772304909 \tabularnewline
0.65 & 98.3168443899558 & 0.401705096225538 \tabularnewline
0.66 & 98.4228153379792 & 0.442406388013946 \tabularnewline
0.67 & 98.5414379830718 & 0.50074258193085 \tabularnewline
0.68 & 98.6762384499365 & 0.570586476838119 \tabularnewline
0.69 & 98.8291403701622 & 0.643579196761853 \tabularnewline
0.7 & 99.0000850784514 & 0.710684849313381 \tabularnewline
0.71 & 99.1869865033296 & 0.763472839166489 \tabularnewline
0.72 & 99.3861252245508 & 0.796445252517178 \tabularnewline
0.73 & 99.5929498506541 & 0.808001324166513 \tabularnewline
0.74 & 99.8031028552102 & 0.801104390328327 \tabularnewline
0.75 & 100.013383374934 & 0.782883444735464 \tabularnewline
0.76 & 100.222348193518 & 0.761601519924413 \tabularnewline
0.77 & 100.430344662875 & 0.744870031874579 \tabularnewline
0.78 & 100.638938150676 & 0.736926245016652 \tabularnewline
0.79 & 100.84989337792 & 0.736721053422532 \tabularnewline
0.8 & 101.064041275488 & 0.738400677255397 \tabularnewline
0.81 & 101.280456373932 & 0.734089512037129 \tabularnewline
0.82 & 101.496326337459 & 0.71616372487272 \tabularnewline
0.83 & 101.707677106061 & 0.681405977297619 \tabularnewline
0.84 & 101.910762263625 & 0.632781000229477 \tabularnewline
0.85 & 102.103588553563 & 0.578802674261259 \tabularnewline
0.86 & 102.286949212346 & 0.530401908410146 \tabularnewline
0.87 & 102.464586424169 & 0.496997033943822 \tabularnewline
0.88 & 102.642546936146 & 0.483448540660046 \tabularnewline
0.89 & 102.82805367788 & 0.489547711484251 \tabularnewline
0.9 & 103.028053782443 & 0.511252812399847 \tabularnewline
0.91 & 103.247335447267 & 0.539719253878307 \tabularnewline
0.92 & 103.486511494489 & 0.560504485632412 \tabularnewline
0.93 & 103.741544040751 & 0.558631134974854 \tabularnewline
0.94 & 104.0073813939 & 0.531768781182371 \tabularnewline
0.95 & 104.285606051481 & 0.500913651426658 \tabularnewline
0.96 & 104.588554657036 & 0.495988104070354 \tabularnewline
0.97 & 104.926697972496 & 0.502621432766931 \tabularnewline
0.98 & 105.276181266425 & 0.440615838770933 \tabularnewline
0.99 & 105.556626429308 & 0.245758309658877 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292955&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]85.2851742704194[/C][C]0.393335385493334[/C][/ROW]
[ROW][C]0.02[/C][C]85.6061169382193[/C][C]0.216885123991609[/C][/ROW]
[ROW][C]0.03[/C][C]85.7874999404497[/C][C]0.136166112861569[/C][/ROW]
[ROW][C]0.04[/C][C]85.8876782542302[/C][C]0.109134088485548[/C][/ROW]
[ROW][C]0.05[/C][C]85.960462869606[/C][C]0.123004453522116[/C][/ROW]
[ROW][C]0.06[/C][C]86.0341544389845[/C][C]0.169684311626756[/C][/ROW]
[ROW][C]0.07[/C][C]86.1243580153979[/C][C]0.238936641441684[/C][/ROW]
[ROW][C]0.08[/C][C]86.2388840942954[/C][C]0.318816839551325[/C][/ROW]
[ROW][C]0.09[/C][C]86.3786955281369[/C][C]0.393839976502061[/C][/ROW]
[ROW][C]0.1[/C][C]86.5382191484602[/C][C]0.44634732933382[/C][/ROW]
[ROW][C]0.11[/C][C]86.7066188381624[/C][C]0.462409779511899[/C][/ROW]
[ROW][C]0.12[/C][C]86.870699873511[/C][C]0.438696074599212[/C][/ROW]
[ROW][C]0.13[/C][C]87.01881507989[/C][C]0.384799929175719[/C][/ROW]
[ROW][C]0.14[/C][C]87.1441697566367[/C][C]0.318368552886143[/C][/ROW]
[ROW][C]0.15[/C][C]87.2461240973451[/C][C]0.258577779321256[/C][/ROW]
[ROW][C]0.16[/C][C]87.3292416705628[/C][C]0.220112105649115[/C][/ROW]
[ROW][C]0.17[/C][C]87.4009404631435[/C][C]0.20941455418784[/C][/ROW]
[ROW][C]0.18[/C][C]87.4689702446905[/C][C]0.223110165452243[/C][/ROW]
[ROW][C]0.19[/C][C]87.5396179105072[/C][C]0.252313445948142[/C][/ROW]
[ROW][C]0.2[/C][C]87.6169836422859[/C][C]0.288755903907818[/C][/ROW]
[ROW][C]0.21[/C][C]87.7032297833807[/C][C]0.327727371242948[/C][/ROW]
[ROW][C]0.22[/C][C]87.7994704996639[/C][C]0.369012672351638[/C][/ROW]
[ROW][C]0.23[/C][C]87.9068851438399[/C][C]0.416791340395397[/C][/ROW]
[ROW][C]0.24[/C][C]88.0276433068776[/C][C]0.47827084831489[/C][/ROW]
[ROW][C]0.25[/C][C]88.1653111570181[/C][C]0.560377999021516[/C][/ROW]
[ROW][C]0.26[/C][C]88.3245672352184[/C][C]0.665916326787892[/C][/ROW]
[ROW][C]0.27[/C][C]88.5102699812129[/C][C]0.792398521587953[/C][/ROW]
[ROW][C]0.28[/C][C]88.7261371606039[/C][C]0.931105442108435[/C][/ROW]
[ROW][C]0.29[/C][C]88.973451113135[/C][C]1.06811404324862[/C][/ROW]
[ROW][C]0.3[/C][C]89.2502332964728[/C][C]1.18802261647418[/C][/ROW]
[ROW][C]0.31[/C][C]89.55121068093[/C][C]1.27808101444351[/C][/ROW]
[ROW][C]0.32[/C][C]89.8686517450825[/C][C]1.33011627606256[/C][/ROW]
[ROW][C]0.33[/C][C]90.1938608638635[/C][C]1.34435589396989[/C][/ROW]
[ROW][C]0.34[/C][C]90.5188937691542[/C][C]1.32795381156076[/C][/ROW]
[ROW][C]0.35[/C][C]90.8379832026059[/C][C]1.29419116488052[/C][/ROW]
[ROW][C]0.36[/C][C]91.1482737574542[/C][C]1.25678441089747[/C][/ROW]
[ROW][C]0.37[/C][C]91.449714627401[/C][C]1.22784879094074[/C][/ROW]
[ROW][C]0.38[/C][C]91.7442495115851[/C][C]1.21342250655384[/C][/ROW]
[ROW][C]0.39[/C][C]92.0346632176548[/C][C]1.2129243581774[/C][/ROW]
[ROW][C]0.4[/C][C]92.3235173924725[/C][C]1.22162453225895[/C][/ROW]
[ROW][C]0.41[/C][C]92.6125179485934[/C][C]1.23300516228006[/C][/ROW]
[ROW][C]0.42[/C][C]92.9024512251439[/C][C]1.24227752523825[/C][/ROW]
[ROW][C]0.43[/C][C]93.1935908205091[/C][C]1.24930536652555[/C][/ROW]
[ROW][C]0.44[/C][C]93.4863019415489[/C][C]1.25710194264016[/C][/ROW]
[ROW][C]0.45[/C][C]93.7815148544279[/C][C]1.27050528456379[/C][/ROW]
[ROW][C]0.46[/C][C]94.0808144578512[/C][C]1.29376423919353[/C][/ROW]
[ROW][C]0.47[/C][C]94.3860614026861[/C][C]1.3276129269642[/C][/ROW]
[ROW][C]0.48[/C][C]94.6986531659774[/C][C]1.36775671825093[/C][/ROW]
[ROW][C]0.49[/C][C]95.0186792286533[/C][C]1.40566748950685[/C][/ROW]
[ROW][C]0.5[/C][C]95.3442734582134[/C][C]1.43009515698498[/C][/ROW]
[ROW][C]0.51[/C][C]95.6714070073007[/C][C]1.43067990747609[/C][/ROW]
[ROW][C]0.52[/C][C]95.9942230688952[/C][C]1.40028543606948[/C][/ROW]
[ROW][C]0.53[/C][C]96.3058436389429[/C][C]1.33636258443056[/C][/ROW]
[ROW][C]0.54[/C][C]96.5994374574214[/C][C]1.2420504438216[/C][/ROW]
[ROW][C]0.55[/C][C]96.8692727079394[/C][C]1.12456332946568[/C][/ROW]
[ROW][C]0.56[/C][C]97.1115041050871[/C][C]0.994046365179789[/C][/ROW]
[ROW][C]0.57[/C][C]97.3245451961105[/C][C]0.861346134666808[/C][/ROW]
[ROW][C]0.58[/C][C]97.5090119703045[/C][C]0.736092116529097[/C][/ROW]
[ROW][C]0.59[/C][C]97.6673442683348[/C][C]0.625350926628502[/C][/ROW]
[ROW][C]0.6[/C][C]97.8032786397848[/C][C]0.53337608161126[/C][/ROW]
[ROW][C]0.61[/C][C]97.9213450772433[/C][C]0.462426364586153[/C][/ROW]
[ROW][C]0.62[/C][C]98.0265009879919[/C][C]0.413423150598023[/C][/ROW]
[ROW][C]0.63[/C][C]98.1239276314613[/C][C]0.386538182422544[/C][/ROW]
[ROW][C]0.64[/C][C]98.21893152417[/C][C]0.382684772304909[/C][/ROW]
[ROW][C]0.65[/C][C]98.3168443899558[/C][C]0.401705096225538[/C][/ROW]
[ROW][C]0.66[/C][C]98.4228153379792[/C][C]0.442406388013946[/C][/ROW]
[ROW][C]0.67[/C][C]98.5414379830718[/C][C]0.50074258193085[/C][/ROW]
[ROW][C]0.68[/C][C]98.6762384499365[/C][C]0.570586476838119[/C][/ROW]
[ROW][C]0.69[/C][C]98.8291403701622[/C][C]0.643579196761853[/C][/ROW]
[ROW][C]0.7[/C][C]99.0000850784514[/C][C]0.710684849313381[/C][/ROW]
[ROW][C]0.71[/C][C]99.1869865033296[/C][C]0.763472839166489[/C][/ROW]
[ROW][C]0.72[/C][C]99.3861252245508[/C][C]0.796445252517178[/C][/ROW]
[ROW][C]0.73[/C][C]99.5929498506541[/C][C]0.808001324166513[/C][/ROW]
[ROW][C]0.74[/C][C]99.8031028552102[/C][C]0.801104390328327[/C][/ROW]
[ROW][C]0.75[/C][C]100.013383374934[/C][C]0.782883444735464[/C][/ROW]
[ROW][C]0.76[/C][C]100.222348193518[/C][C]0.761601519924413[/C][/ROW]
[ROW][C]0.77[/C][C]100.430344662875[/C][C]0.744870031874579[/C][/ROW]
[ROW][C]0.78[/C][C]100.638938150676[/C][C]0.736926245016652[/C][/ROW]
[ROW][C]0.79[/C][C]100.84989337792[/C][C]0.736721053422532[/C][/ROW]
[ROW][C]0.8[/C][C]101.064041275488[/C][C]0.738400677255397[/C][/ROW]
[ROW][C]0.81[/C][C]101.280456373932[/C][C]0.734089512037129[/C][/ROW]
[ROW][C]0.82[/C][C]101.496326337459[/C][C]0.71616372487272[/C][/ROW]
[ROW][C]0.83[/C][C]101.707677106061[/C][C]0.681405977297619[/C][/ROW]
[ROW][C]0.84[/C][C]101.910762263625[/C][C]0.632781000229477[/C][/ROW]
[ROW][C]0.85[/C][C]102.103588553563[/C][C]0.578802674261259[/C][/ROW]
[ROW][C]0.86[/C][C]102.286949212346[/C][C]0.530401908410146[/C][/ROW]
[ROW][C]0.87[/C][C]102.464586424169[/C][C]0.496997033943822[/C][/ROW]
[ROW][C]0.88[/C][C]102.642546936146[/C][C]0.483448540660046[/C][/ROW]
[ROW][C]0.89[/C][C]102.82805367788[/C][C]0.489547711484251[/C][/ROW]
[ROW][C]0.9[/C][C]103.028053782443[/C][C]0.511252812399847[/C][/ROW]
[ROW][C]0.91[/C][C]103.247335447267[/C][C]0.539719253878307[/C][/ROW]
[ROW][C]0.92[/C][C]103.486511494489[/C][C]0.560504485632412[/C][/ROW]
[ROW][C]0.93[/C][C]103.741544040751[/C][C]0.558631134974854[/C][/ROW]
[ROW][C]0.94[/C][C]104.0073813939[/C][C]0.531768781182371[/C][/ROW]
[ROW][C]0.95[/C][C]104.285606051481[/C][C]0.500913651426658[/C][/ROW]
[ROW][C]0.96[/C][C]104.588554657036[/C][C]0.495988104070354[/C][/ROW]
[ROW][C]0.97[/C][C]104.926697972496[/C][C]0.502621432766931[/C][/ROW]
[ROW][C]0.98[/C][C]105.276181266425[/C][C]0.440615838770933[/C][/ROW]
[ROW][C]0.99[/C][C]105.556626429308[/C][C]0.245758309658877[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292955&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292955&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
0.0185.28517427041940.393335385493334
0.0285.60611693821930.216885123991609
0.0385.78749994044970.136166112861569
0.0485.88767825423020.109134088485548
0.0585.9604628696060.123004453522116
0.0686.03415443898450.169684311626756
0.0786.12435801539790.238936641441684
0.0886.23888409429540.318816839551325
0.0986.37869552813690.393839976502061
0.186.53821914846020.44634732933382
0.1186.70661883816240.462409779511899
0.1286.8706998735110.438696074599212
0.1387.018815079890.384799929175719
0.1487.14416975663670.318368552886143
0.1587.24612409734510.258577779321256
0.1687.32924167056280.220112105649115
0.1787.40094046314350.20941455418784
0.1887.46897024469050.223110165452243
0.1987.53961791050720.252313445948142
0.287.61698364228590.288755903907818
0.2187.70322978338070.327727371242948
0.2287.79947049966390.369012672351638
0.2387.90688514383990.416791340395397
0.2488.02764330687760.47827084831489
0.2588.16531115701810.560377999021516
0.2688.32456723521840.665916326787892
0.2788.51026998121290.792398521587953
0.2888.72613716060390.931105442108435
0.2988.9734511131351.06811404324862
0.389.25023329647281.18802261647418
0.3189.551210680931.27808101444351
0.3289.86865174508251.33011627606256
0.3390.19386086386351.34435589396989
0.3490.51889376915421.32795381156076
0.3590.83798320260591.29419116488052
0.3691.14827375745421.25678441089747
0.3791.4497146274011.22784879094074
0.3891.74424951158511.21342250655384
0.3992.03466321765481.2129243581774
0.492.32351739247251.22162453225895
0.4192.61251794859341.23300516228006
0.4292.90245122514391.24227752523825
0.4393.19359082050911.24930536652555
0.4493.48630194154891.25710194264016
0.4593.78151485442791.27050528456379
0.4694.08081445785121.29376423919353
0.4794.38606140268611.3276129269642
0.4894.69865316597741.36775671825093
0.4995.01867922865331.40566748950685
0.595.34427345821341.43009515698498
0.5195.67140700730071.43067990747609
0.5295.99422306889521.40028543606948
0.5396.30584363894291.33636258443056
0.5496.59943745742141.2420504438216
0.5596.86927270793941.12456332946568
0.5697.11150410508710.994046365179789
0.5797.32454519611050.861346134666808
0.5897.50901197030450.736092116529097
0.5997.66734426833480.625350926628502
0.697.80327863978480.53337608161126
0.6197.92134507724330.462426364586153
0.6298.02650098799190.413423150598023
0.6398.12392763146130.386538182422544
0.6498.218931524170.382684772304909
0.6598.31684438995580.401705096225538
0.6698.42281533797920.442406388013946
0.6798.54143798307180.50074258193085
0.6898.67623844993650.570586476838119
0.6998.82914037016220.643579196761853
0.799.00008507845140.710684849313381
0.7199.18698650332960.763472839166489
0.7299.38612522455080.796445252517178
0.7399.59294985065410.808001324166513
0.7499.80310285521020.801104390328327
0.75100.0133833749340.782883444735464
0.76100.2223481935180.761601519924413
0.77100.4303446628750.744870031874579
0.78100.6389381506760.736926245016652
0.79100.849893377920.736721053422532
0.8101.0640412754880.738400677255397
0.81101.2804563739320.734089512037129
0.82101.4963263374590.71616372487272
0.83101.7076771060610.681405977297619
0.84101.9107622636250.632781000229477
0.85102.1035885535630.578802674261259
0.86102.2869492123460.530401908410146
0.87102.4645864241690.496997033943822
0.88102.6425469361460.483448540660046
0.89102.828053677880.489547711484251
0.9103.0280537824430.511252812399847
0.91103.2473354472670.539719253878307
0.92103.4865114944890.560504485632412
0.93103.7415440407510.558631134974854
0.94104.00738139390.531768781182371
0.95104.2856060514810.500913651426658
0.96104.5885546570360.495988104070354
0.97104.9266979724960.502621432766931
0.98105.2761812664250.440615838770933
0.99105.5566264293080.245758309658877


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')