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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 computationFri, 09 Oct 2015 20:03:28 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/09/t1444417739pxtdksr31r2gh84.htm/, Retrieved Tue, 14 May 2024 18:59:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=282041, Retrieved Tue, 14 May 2024 18:59:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact49

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2015-10-09 19:03:28] [663b8bcb3523d59827bca0af0b37f04c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
91.99
92.17
92.19
92.24
92.19
92.21
92.22
92.14
92.43
92.93
93.01
93.07
93.08
93.11
93.21
93.49
93.48
93.51
93.52
93.49
93.76
94.25
94.42
94.45
94.45
94.53
94.78
95.05
95.21
95.23
95.23
95.34
95.93
96.75
97.15
97.21
97.21
97.35
97.44
97.34
97.44
97.43
97.43
97.47
97.69
98.54
98.64
98.72
98.72
98.73
98.68
98.75
98.73
98.74
98.75
98.85
99.14
99.83
99.93
100
100
100.08
100.25
100.4
100.33
100.29
100.29
100.32
100.82
101.42
101.46
101.55
101.56
101.56
101.6
101.66
101.82
101.94
101.95
101.93
102.26
102.65
102.9
102.94
99.14
99.18
99.23
99.32
99.46
99.5
99.95
100.13
100.43
101.09
101.27
101.29
101.04
101.14
101.11
101.01
101.08
101.06
101.26
101.32
101.4
101.85
102.12
102.15

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282041&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282041&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282041&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0192.05677294387360.0992585813392368
0.0292.12832326628930.054095436820419
0.0392.17503006707890.04819040314179
0.0492.21455942904590.0847894727208064
0.0592.26826731063190.153471893411008
0.0692.34873523174790.237455632249048
0.0792.45825264920950.312597422042092
0.0892.58969839861990.35831259753374
0.0992.73064186214250.36870434571279
0.192.86912489041110.353190402332253
0.1192.99794407168950.329550405906314
0.1293.11572775929550.313067441767701
0.1393.22543717655810.311880221487318
0.1493.33201366875310.327545657976341
0.1593.44048671407710.357264127125557
0.1693.55491780024890.397572996724638
0.1793.67796760372310.443568838012938
0.1893.8108186868510.489865750132348
0.1993.95336090452170.532523855261924
0.294.10463896514190.569529328068889
0.2194.26349306503620.602349756385097
0.2294.42920222433570.635062109557627
0.2394.60189490549230.672092990643478
0.2494.78256466892530.717127981687507
0.2594.97267451263930.77079615041967
0.2695.17347786446330.829602000156562
0.2795.38527451729810.887321438819504
0.2895.606838676430.935655599036166
0.2995.83520898400940.966079002704754
0.396.06593197541190.973166948171791
0.3196.29372355453280.954204474592091
0.3296.51339004344130.912116066010485
0.3396.72076861761830.853404698539836
0.3496.91343570079050.787491301704228
0.3597.09099778939650.724636428122648
0.3697.25490111810240.673002001698199
0.3797.40783375457430.637439189369077
0.3897.55290206427110.61766889995741
0.3997.6928118894650.608877954779831
0.497.82926406511170.604255097016977
0.4197.96269675854940.596616205988113
0.4298.09240127613510.580969488061281
0.4398.21693615885260.555333942482285
0.4498.33469455850020.520810324292093
0.4598.44445790644660.480456529667477
0.4698.54579512363150.439479771386
0.4798.63922727825890.403357067036504
0.4898.72615034475970.375881847087673
0.4998.80857069575940.360047418488281
0.598.88874327167030.355826828321377
0.5198.96880632853350.361461302564089
0.5299.05048545787510.373770762688189
0.5399.13490604312010.389467218176213
0.5499.22252097806010.404992621960943
0.5599.31313843497450.417910984571587
0.5699.40602517422020.426061522670911
0.5799.50006107749230.42781996520519
0.5899.5939244777350.42284013342286
0.5999.68629061291040.411571879385579
0.699.77602532651150.395437268753956
0.6199.8623541083450.376077116603374
0.6299.94498518800890.356093365506645
0.63100.0241666763670.338250194295937
0.64100.1006624923320.324893503529378
0.65100.1756400773390.317755814926194
0.66100.2504748601180.317583717899264
0.67100.326492297590.323761816059168
0.68100.4046868765370.333664531715127
0.69100.4854742722640.344474853327144
0.7100.5685400577980.352160375217272
0.71100.6528375603930.353629377436318
0.72100.7367551483250.346584273327479
0.73100.8184255050970.330879424111247
0.74100.896102364170.30774421584543
0.75100.9685037513780.279865859919696
0.76101.0350288924660.250909877442099
0.77101.0957978155810.223888471347561
0.78101.1515217811780.201298652472517
0.79101.2032647202790.184086029001685
0.8101.2521815376350.171831079608888
0.81101.2993133468010.163371599668134
0.82101.3454911100160.157664492803007
0.83101.3913608195650.153436418819246
0.84101.4375030026260.150598996470832
0.85101.4845793429990.149558388157686
0.86101.5334084788230.15085519230895
0.87101.5848784180110.154883384558274
0.88101.6396793094450.160590456343276
0.89101.6979890416440.165448264383404
0.9101.7593885698140.166689787778343
0.91101.8232874352090.163546417845803
0.92101.8899369728820.158744185993771
0.93101.9618489635120.15837209813123
0.94102.0453245495420.17016053744342
0.95102.1514334223350.20175953106155
0.96102.293974154640.25429418431798
0.97102.479342793660.303583911821723
0.98102.6872125334940.289816855633267
0.99102.8605028605250.16867700797956

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 92.0567729438736 & 0.0992585813392368 \tabularnewline
0.02 & 92.1283232662893 & 0.054095436820419 \tabularnewline
0.03 & 92.1750300670789 & 0.04819040314179 \tabularnewline
0.04 & 92.2145594290459 & 0.0847894727208064 \tabularnewline
0.05 & 92.2682673106319 & 0.153471893411008 \tabularnewline
0.06 & 92.3487352317479 & 0.237455632249048 \tabularnewline
0.07 & 92.4582526492095 & 0.312597422042092 \tabularnewline
0.08 & 92.5896983986199 & 0.35831259753374 \tabularnewline
0.09 & 92.7306418621425 & 0.36870434571279 \tabularnewline
0.1 & 92.8691248904111 & 0.353190402332253 \tabularnewline
0.11 & 92.9979440716895 & 0.329550405906314 \tabularnewline
0.12 & 93.1157277592955 & 0.313067441767701 \tabularnewline
0.13 & 93.2254371765581 & 0.311880221487318 \tabularnewline
0.14 & 93.3320136687531 & 0.327545657976341 \tabularnewline
0.15 & 93.4404867140771 & 0.357264127125557 \tabularnewline
0.16 & 93.5549178002489 & 0.397572996724638 \tabularnewline
0.17 & 93.6779676037231 & 0.443568838012938 \tabularnewline
0.18 & 93.810818686851 & 0.489865750132348 \tabularnewline
0.19 & 93.9533609045217 & 0.532523855261924 \tabularnewline
0.2 & 94.1046389651419 & 0.569529328068889 \tabularnewline
0.21 & 94.2634930650362 & 0.602349756385097 \tabularnewline
0.22 & 94.4292022243357 & 0.635062109557627 \tabularnewline
0.23 & 94.6018949054923 & 0.672092990643478 \tabularnewline
0.24 & 94.7825646689253 & 0.717127981687507 \tabularnewline
0.25 & 94.9726745126393 & 0.77079615041967 \tabularnewline
0.26 & 95.1734778644633 & 0.829602000156562 \tabularnewline
0.27 & 95.3852745172981 & 0.887321438819504 \tabularnewline
0.28 & 95.60683867643 & 0.935655599036166 \tabularnewline
0.29 & 95.8352089840094 & 0.966079002704754 \tabularnewline
0.3 & 96.0659319754119 & 0.973166948171791 \tabularnewline
0.31 & 96.2937235545328 & 0.954204474592091 \tabularnewline
0.32 & 96.5133900434413 & 0.912116066010485 \tabularnewline
0.33 & 96.7207686176183 & 0.853404698539836 \tabularnewline
0.34 & 96.9134357007905 & 0.787491301704228 \tabularnewline
0.35 & 97.0909977893965 & 0.724636428122648 \tabularnewline
0.36 & 97.2549011181024 & 0.673002001698199 \tabularnewline
0.37 & 97.4078337545743 & 0.637439189369077 \tabularnewline
0.38 & 97.5529020642711 & 0.61766889995741 \tabularnewline
0.39 & 97.692811889465 & 0.608877954779831 \tabularnewline
0.4 & 97.8292640651117 & 0.604255097016977 \tabularnewline
0.41 & 97.9626967585494 & 0.596616205988113 \tabularnewline
0.42 & 98.0924012761351 & 0.580969488061281 \tabularnewline
0.43 & 98.2169361588526 & 0.555333942482285 \tabularnewline
0.44 & 98.3346945585002 & 0.520810324292093 \tabularnewline
0.45 & 98.4444579064466 & 0.480456529667477 \tabularnewline
0.46 & 98.5457951236315 & 0.439479771386 \tabularnewline
0.47 & 98.6392272782589 & 0.403357067036504 \tabularnewline
0.48 & 98.7261503447597 & 0.375881847087673 \tabularnewline
0.49 & 98.8085706957594 & 0.360047418488281 \tabularnewline
0.5 & 98.8887432716703 & 0.355826828321377 \tabularnewline
0.51 & 98.9688063285335 & 0.361461302564089 \tabularnewline
0.52 & 99.0504854578751 & 0.373770762688189 \tabularnewline
0.53 & 99.1349060431201 & 0.389467218176213 \tabularnewline
0.54 & 99.2225209780601 & 0.404992621960943 \tabularnewline
0.55 & 99.3131384349745 & 0.417910984571587 \tabularnewline
0.56 & 99.4060251742202 & 0.426061522670911 \tabularnewline
0.57 & 99.5000610774923 & 0.42781996520519 \tabularnewline
0.58 & 99.593924477735 & 0.42284013342286 \tabularnewline
0.59 & 99.6862906129104 & 0.411571879385579 \tabularnewline
0.6 & 99.7760253265115 & 0.395437268753956 \tabularnewline
0.61 & 99.862354108345 & 0.376077116603374 \tabularnewline
0.62 & 99.9449851880089 & 0.356093365506645 \tabularnewline
0.63 & 100.024166676367 & 0.338250194295937 \tabularnewline
0.64 & 100.100662492332 & 0.324893503529378 \tabularnewline
0.65 & 100.175640077339 & 0.317755814926194 \tabularnewline
0.66 & 100.250474860118 & 0.317583717899264 \tabularnewline
0.67 & 100.32649229759 & 0.323761816059168 \tabularnewline
0.68 & 100.404686876537 & 0.333664531715127 \tabularnewline
0.69 & 100.485474272264 & 0.344474853327144 \tabularnewline
0.7 & 100.568540057798 & 0.352160375217272 \tabularnewline
0.71 & 100.652837560393 & 0.353629377436318 \tabularnewline
0.72 & 100.736755148325 & 0.346584273327479 \tabularnewline
0.73 & 100.818425505097 & 0.330879424111247 \tabularnewline
0.74 & 100.89610236417 & 0.30774421584543 \tabularnewline
0.75 & 100.968503751378 & 0.279865859919696 \tabularnewline
0.76 & 101.035028892466 & 0.250909877442099 \tabularnewline
0.77 & 101.095797815581 & 0.223888471347561 \tabularnewline
0.78 & 101.151521781178 & 0.201298652472517 \tabularnewline
0.79 & 101.203264720279 & 0.184086029001685 \tabularnewline
0.8 & 101.252181537635 & 0.171831079608888 \tabularnewline
0.81 & 101.299313346801 & 0.163371599668134 \tabularnewline
0.82 & 101.345491110016 & 0.157664492803007 \tabularnewline
0.83 & 101.391360819565 & 0.153436418819246 \tabularnewline
0.84 & 101.437503002626 & 0.150598996470832 \tabularnewline
0.85 & 101.484579342999 & 0.149558388157686 \tabularnewline
0.86 & 101.533408478823 & 0.15085519230895 \tabularnewline
0.87 & 101.584878418011 & 0.154883384558274 \tabularnewline
0.88 & 101.639679309445 & 0.160590456343276 \tabularnewline
0.89 & 101.697989041644 & 0.165448264383404 \tabularnewline
0.9 & 101.759388569814 & 0.166689787778343 \tabularnewline
0.91 & 101.823287435209 & 0.163546417845803 \tabularnewline
0.92 & 101.889936972882 & 0.158744185993771 \tabularnewline
0.93 & 101.961848963512 & 0.15837209813123 \tabularnewline
0.94 & 102.045324549542 & 0.17016053744342 \tabularnewline
0.95 & 102.151433422335 & 0.20175953106155 \tabularnewline
0.96 & 102.29397415464 & 0.25429418431798 \tabularnewline
0.97 & 102.47934279366 & 0.303583911821723 \tabularnewline
0.98 & 102.687212533494 & 0.289816855633267 \tabularnewline
0.99 & 102.860502860525 & 0.16867700797956 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282041&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]92.0567729438736[/C][C]0.0992585813392368[/C][/ROW]
[ROW][C]0.02[/C][C]92.1283232662893[/C][C]0.054095436820419[/C][/ROW]
[ROW][C]0.03[/C][C]92.1750300670789[/C][C]0.04819040314179[/C][/ROW]
[ROW][C]0.04[/C][C]92.2145594290459[/C][C]0.0847894727208064[/C][/ROW]
[ROW][C]0.05[/C][C]92.2682673106319[/C][C]0.153471893411008[/C][/ROW]
[ROW][C]0.06[/C][C]92.3487352317479[/C][C]0.237455632249048[/C][/ROW]
[ROW][C]0.07[/C][C]92.4582526492095[/C][C]0.312597422042092[/C][/ROW]
[ROW][C]0.08[/C][C]92.5896983986199[/C][C]0.35831259753374[/C][/ROW]
[ROW][C]0.09[/C][C]92.7306418621425[/C][C]0.36870434571279[/C][/ROW]
[ROW][C]0.1[/C][C]92.8691248904111[/C][C]0.353190402332253[/C][/ROW]
[ROW][C]0.11[/C][C]92.9979440716895[/C][C]0.329550405906314[/C][/ROW]
[ROW][C]0.12[/C][C]93.1157277592955[/C][C]0.313067441767701[/C][/ROW]
[ROW][C]0.13[/C][C]93.2254371765581[/C][C]0.311880221487318[/C][/ROW]
[ROW][C]0.14[/C][C]93.3320136687531[/C][C]0.327545657976341[/C][/ROW]
[ROW][C]0.15[/C][C]93.4404867140771[/C][C]0.357264127125557[/C][/ROW]
[ROW][C]0.16[/C][C]93.5549178002489[/C][C]0.397572996724638[/C][/ROW]
[ROW][C]0.17[/C][C]93.6779676037231[/C][C]0.443568838012938[/C][/ROW]
[ROW][C]0.18[/C][C]93.810818686851[/C][C]0.489865750132348[/C][/ROW]
[ROW][C]0.19[/C][C]93.9533609045217[/C][C]0.532523855261924[/C][/ROW]
[ROW][C]0.2[/C][C]94.1046389651419[/C][C]0.569529328068889[/C][/ROW]
[ROW][C]0.21[/C][C]94.2634930650362[/C][C]0.602349756385097[/C][/ROW]
[ROW][C]0.22[/C][C]94.4292022243357[/C][C]0.635062109557627[/C][/ROW]
[ROW][C]0.23[/C][C]94.6018949054923[/C][C]0.672092990643478[/C][/ROW]
[ROW][C]0.24[/C][C]94.7825646689253[/C][C]0.717127981687507[/C][/ROW]
[ROW][C]0.25[/C][C]94.9726745126393[/C][C]0.77079615041967[/C][/ROW]
[ROW][C]0.26[/C][C]95.1734778644633[/C][C]0.829602000156562[/C][/ROW]
[ROW][C]0.27[/C][C]95.3852745172981[/C][C]0.887321438819504[/C][/ROW]
[ROW][C]0.28[/C][C]95.60683867643[/C][C]0.935655599036166[/C][/ROW]
[ROW][C]0.29[/C][C]95.8352089840094[/C][C]0.966079002704754[/C][/ROW]
[ROW][C]0.3[/C][C]96.0659319754119[/C][C]0.973166948171791[/C][/ROW]
[ROW][C]0.31[/C][C]96.2937235545328[/C][C]0.954204474592091[/C][/ROW]
[ROW][C]0.32[/C][C]96.5133900434413[/C][C]0.912116066010485[/C][/ROW]
[ROW][C]0.33[/C][C]96.7207686176183[/C][C]0.853404698539836[/C][/ROW]
[ROW][C]0.34[/C][C]96.9134357007905[/C][C]0.787491301704228[/C][/ROW]
[ROW][C]0.35[/C][C]97.0909977893965[/C][C]0.724636428122648[/C][/ROW]
[ROW][C]0.36[/C][C]97.2549011181024[/C][C]0.673002001698199[/C][/ROW]
[ROW][C]0.37[/C][C]97.4078337545743[/C][C]0.637439189369077[/C][/ROW]
[ROW][C]0.38[/C][C]97.5529020642711[/C][C]0.61766889995741[/C][/ROW]
[ROW][C]0.39[/C][C]97.692811889465[/C][C]0.608877954779831[/C][/ROW]
[ROW][C]0.4[/C][C]97.8292640651117[/C][C]0.604255097016977[/C][/ROW]
[ROW][C]0.41[/C][C]97.9626967585494[/C][C]0.596616205988113[/C][/ROW]
[ROW][C]0.42[/C][C]98.0924012761351[/C][C]0.580969488061281[/C][/ROW]
[ROW][C]0.43[/C][C]98.2169361588526[/C][C]0.555333942482285[/C][/ROW]
[ROW][C]0.44[/C][C]98.3346945585002[/C][C]0.520810324292093[/C][/ROW]
[ROW][C]0.45[/C][C]98.4444579064466[/C][C]0.480456529667477[/C][/ROW]
[ROW][C]0.46[/C][C]98.5457951236315[/C][C]0.439479771386[/C][/ROW]
[ROW][C]0.47[/C][C]98.6392272782589[/C][C]0.403357067036504[/C][/ROW]
[ROW][C]0.48[/C][C]98.7261503447597[/C][C]0.375881847087673[/C][/ROW]
[ROW][C]0.49[/C][C]98.8085706957594[/C][C]0.360047418488281[/C][/ROW]
[ROW][C]0.5[/C][C]98.8887432716703[/C][C]0.355826828321377[/C][/ROW]
[ROW][C]0.51[/C][C]98.9688063285335[/C][C]0.361461302564089[/C][/ROW]
[ROW][C]0.52[/C][C]99.0504854578751[/C][C]0.373770762688189[/C][/ROW]
[ROW][C]0.53[/C][C]99.1349060431201[/C][C]0.389467218176213[/C][/ROW]
[ROW][C]0.54[/C][C]99.2225209780601[/C][C]0.404992621960943[/C][/ROW]
[ROW][C]0.55[/C][C]99.3131384349745[/C][C]0.417910984571587[/C][/ROW]
[ROW][C]0.56[/C][C]99.4060251742202[/C][C]0.426061522670911[/C][/ROW]
[ROW][C]0.57[/C][C]99.5000610774923[/C][C]0.42781996520519[/C][/ROW]
[ROW][C]0.58[/C][C]99.593924477735[/C][C]0.42284013342286[/C][/ROW]
[ROW][C]0.59[/C][C]99.6862906129104[/C][C]0.411571879385579[/C][/ROW]
[ROW][C]0.6[/C][C]99.7760253265115[/C][C]0.395437268753956[/C][/ROW]
[ROW][C]0.61[/C][C]99.862354108345[/C][C]0.376077116603374[/C][/ROW]
[ROW][C]0.62[/C][C]99.9449851880089[/C][C]0.356093365506645[/C][/ROW]
[ROW][C]0.63[/C][C]100.024166676367[/C][C]0.338250194295937[/C][/ROW]
[ROW][C]0.64[/C][C]100.100662492332[/C][C]0.324893503529378[/C][/ROW]
[ROW][C]0.65[/C][C]100.175640077339[/C][C]0.317755814926194[/C][/ROW]
[ROW][C]0.66[/C][C]100.250474860118[/C][C]0.317583717899264[/C][/ROW]
[ROW][C]0.67[/C][C]100.32649229759[/C][C]0.323761816059168[/C][/ROW]
[ROW][C]0.68[/C][C]100.404686876537[/C][C]0.333664531715127[/C][/ROW]
[ROW][C]0.69[/C][C]100.485474272264[/C][C]0.344474853327144[/C][/ROW]
[ROW][C]0.7[/C][C]100.568540057798[/C][C]0.352160375217272[/C][/ROW]
[ROW][C]0.71[/C][C]100.652837560393[/C][C]0.353629377436318[/C][/ROW]
[ROW][C]0.72[/C][C]100.736755148325[/C][C]0.346584273327479[/C][/ROW]
[ROW][C]0.73[/C][C]100.818425505097[/C][C]0.330879424111247[/C][/ROW]
[ROW][C]0.74[/C][C]100.89610236417[/C][C]0.30774421584543[/C][/ROW]
[ROW][C]0.75[/C][C]100.968503751378[/C][C]0.279865859919696[/C][/ROW]
[ROW][C]0.76[/C][C]101.035028892466[/C][C]0.250909877442099[/C][/ROW]
[ROW][C]0.77[/C][C]101.095797815581[/C][C]0.223888471347561[/C][/ROW]
[ROW][C]0.78[/C][C]101.151521781178[/C][C]0.201298652472517[/C][/ROW]
[ROW][C]0.79[/C][C]101.203264720279[/C][C]0.184086029001685[/C][/ROW]
[ROW][C]0.8[/C][C]101.252181537635[/C][C]0.171831079608888[/C][/ROW]
[ROW][C]0.81[/C][C]101.299313346801[/C][C]0.163371599668134[/C][/ROW]
[ROW][C]0.82[/C][C]101.345491110016[/C][C]0.157664492803007[/C][/ROW]
[ROW][C]0.83[/C][C]101.391360819565[/C][C]0.153436418819246[/C][/ROW]
[ROW][C]0.84[/C][C]101.437503002626[/C][C]0.150598996470832[/C][/ROW]
[ROW][C]0.85[/C][C]101.484579342999[/C][C]0.149558388157686[/C][/ROW]
[ROW][C]0.86[/C][C]101.533408478823[/C][C]0.15085519230895[/C][/ROW]
[ROW][C]0.87[/C][C]101.584878418011[/C][C]0.154883384558274[/C][/ROW]
[ROW][C]0.88[/C][C]101.639679309445[/C][C]0.160590456343276[/C][/ROW]
[ROW][C]0.89[/C][C]101.697989041644[/C][C]0.165448264383404[/C][/ROW]
[ROW][C]0.9[/C][C]101.759388569814[/C][C]0.166689787778343[/C][/ROW]
[ROW][C]0.91[/C][C]101.823287435209[/C][C]0.163546417845803[/C][/ROW]
[ROW][C]0.92[/C][C]101.889936972882[/C][C]0.158744185993771[/C][/ROW]
[ROW][C]0.93[/C][C]101.961848963512[/C][C]0.15837209813123[/C][/ROW]
[ROW][C]0.94[/C][C]102.045324549542[/C][C]0.17016053744342[/C][/ROW]
[ROW][C]0.95[/C][C]102.151433422335[/C][C]0.20175953106155[/C][/ROW]
[ROW][C]0.96[/C][C]102.29397415464[/C][C]0.25429418431798[/C][/ROW]
[ROW][C]0.97[/C][C]102.47934279366[/C][C]0.303583911821723[/C][/ROW]
[ROW][C]0.98[/C][C]102.687212533494[/C][C]0.289816855633267[/C][/ROW]
[ROW][C]0.99[/C][C]102.860502860525[/C][C]0.16867700797956[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282041&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282041&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
0.0192.05677294387360.0992585813392368
0.0292.12832326628930.054095436820419
0.0392.17503006707890.04819040314179
0.0492.21455942904590.0847894727208064
0.0592.26826731063190.153471893411008
0.0692.34873523174790.237455632249048
0.0792.45825264920950.312597422042092
0.0892.58969839861990.35831259753374
0.0992.73064186214250.36870434571279
0.192.86912489041110.353190402332253
0.1192.99794407168950.329550405906314
0.1293.11572775929550.313067441767701
0.1393.22543717655810.311880221487318
0.1493.33201366875310.327545657976341
0.1593.44048671407710.357264127125557
0.1693.55491780024890.397572996724638
0.1793.67796760372310.443568838012938
0.1893.8108186868510.489865750132348
0.1993.95336090452170.532523855261924
0.294.10463896514190.569529328068889
0.2194.26349306503620.602349756385097
0.2294.42920222433570.635062109557627
0.2394.60189490549230.672092990643478
0.2494.78256466892530.717127981687507
0.2594.97267451263930.77079615041967
0.2695.17347786446330.829602000156562
0.2795.38527451729810.887321438819504
0.2895.606838676430.935655599036166
0.2995.83520898400940.966079002704754
0.396.06593197541190.973166948171791
0.3196.29372355453280.954204474592091
0.3296.51339004344130.912116066010485
0.3396.72076861761830.853404698539836
0.3496.91343570079050.787491301704228
0.3597.09099778939650.724636428122648
0.3697.25490111810240.673002001698199
0.3797.40783375457430.637439189369077
0.3897.55290206427110.61766889995741
0.3997.6928118894650.608877954779831
0.497.82926406511170.604255097016977
0.4197.96269675854940.596616205988113
0.4298.09240127613510.580969488061281
0.4398.21693615885260.555333942482285
0.4498.33469455850020.520810324292093
0.4598.44445790644660.480456529667477
0.4698.54579512363150.439479771386
0.4798.63922727825890.403357067036504
0.4898.72615034475970.375881847087673
0.4998.80857069575940.360047418488281
0.598.88874327167030.355826828321377
0.5198.96880632853350.361461302564089
0.5299.05048545787510.373770762688189
0.5399.13490604312010.389467218176213
0.5499.22252097806010.404992621960943
0.5599.31313843497450.417910984571587
0.5699.40602517422020.426061522670911
0.5799.50006107749230.42781996520519
0.5899.5939244777350.42284013342286
0.5999.68629061291040.411571879385579
0.699.77602532651150.395437268753956
0.6199.8623541083450.376077116603374
0.6299.94498518800890.356093365506645
0.63100.0241666763670.338250194295937
0.64100.1006624923320.324893503529378
0.65100.1756400773390.317755814926194
0.66100.2504748601180.317583717899264
0.67100.326492297590.323761816059168
0.68100.4046868765370.333664531715127
0.69100.4854742722640.344474853327144
0.7100.5685400577980.352160375217272
0.71100.6528375603930.353629377436318
0.72100.7367551483250.346584273327479
0.73100.8184255050970.330879424111247
0.74100.896102364170.30774421584543
0.75100.9685037513780.279865859919696
0.76101.0350288924660.250909877442099
0.77101.0957978155810.223888471347561
0.78101.1515217811780.201298652472517
0.79101.2032647202790.184086029001685
0.8101.2521815376350.171831079608888
0.81101.2993133468010.163371599668134
0.82101.3454911100160.157664492803007
0.83101.3913608195650.153436418819246
0.84101.4375030026260.150598996470832
0.85101.4845793429990.149558388157686
0.86101.5334084788230.15085519230895
0.87101.5848784180110.154883384558274
0.88101.6396793094450.160590456343276
0.89101.6979890416440.165448264383404
0.9101.7593885698140.166689787778343
0.91101.8232874352090.163546417845803
0.92101.8899369728820.158744185993771
0.93101.9618489635120.15837209813123
0.94102.0453245495420.17016053744342
0.95102.1514334223350.20175953106155
0.96102.293974154640.25429418431798
0.97102.479342793660.303583911821723
0.98102.6872125334940.289816855633267
0.99102.8605028605250.16867700797956


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')