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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 computationTue, 13 Oct 2009 11:54:44 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/13/t1255456522egj1ptwi9q0w1j9.htm/, Retrieved Sat, 27 Apr 2024 12:43:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=46285, Retrieved Sat, 27 Apr 2024 12:43:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W41
Estimated Impact139

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Gemiddelde prijs ...] [2009-09-22 17:16:52] [101768e0846f790d4a51eca83c4a4208]
- RMPD  [Harrell-Davis Quantiles] [] [2009-10-13 17:50:27] [101768e0846f790d4a51eca83c4a4208]
-   P       [Harrell-Davis Quantiles] [] [2009-10-13 17:54:44] [f8fa19533df6d92688ec2c19e4765e3f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
161.88
161.88
162.05
162.16
162.61
162.53
162.53
162.53
162.53
162.83
161.61
161.79
161.79
161.79
161.79
161.85
161.77
161.86
161.89
161.89
161.89
162.18
162.43
162.58
162.57
162.57
162.57
162.44
162.79
163.15
163.23
163.23
163.23
163.38
163.71
163.73
163.73
163.73
163.73
163.93
164.27
164.57
164.73
164.73
164.76
165.75
165.86
165.99
166.13
166.13
166.13
166.15
166.45
166.48
166.51
166.51
166.51
166.58
166.82
167.35
167.5
167.5
167.6
167.72
167.29
166.98
166.98
166.98
166.98
167.63
167.83
167.85
167.87
167.87
167.96
167.7
169.25
168.79
168.77
168.77
169
168.92
169.23
169.28
169.29
163.93
164.28
164.58
165.97
166.3
166.27
166.27
166.44
166.26
166.64
166.07
166.19

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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46285&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46285&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46285&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01161.6698627939930.107161108698770
0.02161.734696696210.0527085506709613
0.03161.7731474832170.0255875547632438
0.04161.7932226609430.0232890997796576
0.05161.8077577445100.030591133466719
0.06161.82286876650.0385931467950612
0.07161.8400885008160.0458303006390817
0.08161.8596822321050.054730754510595
0.09161.8824028650320.0697755069254598
0.1161.9098596482170.0930574858809325
0.11161.9440141370050.123417258631698
0.12161.9863491845440.157100452617065
0.13162.0371762728930.188752213499760
0.14162.0953560817510.213511820198957
0.15162.1584884654270.227575678919312
0.16162.2234566577080.22991813699286
0.17162.2871234168130.221387942279396
0.18162.3469746096310.205146203697727
0.19162.4015634222840.185969723120274
0.2162.450690275840.168374894619059
0.21162.4953283538990.157432971888234
0.22162.5373546403470.156451513664383
0.23162.5791681241620.167189026754789
0.24162.6232765473590.188582404911192
0.25162.6719200803710.218337493357573
0.26162.726782113110.253076833284939
0.27162.7888177524790.289220450376897
0.28162.858210737660.323801798272737
0.29162.9344500692460.354120764464969
0.3163.0165006614440.378563444166638
0.31163.1030307204900.396377132170097
0.32163.1926546593180.408104034397649
0.33163.2841543479230.415119949318164
0.34163.3766511402180.419092145884095
0.35163.4697129695850.422590301043613
0.36163.5633918890960.427669320288706
0.37163.6581962364110.436421969879493
0.38163.7550079163330.450906315234356
0.39163.8549593259670.471241805505215
0.4163.9592861434820.498009611101792
0.41164.0691713417450.530175708706864
0.42164.1855926984480.566553529231077
0.43164.3091821851300.604686347951597
0.44164.4401031640870.642756148553609
0.45164.5779521296730.677329206227081
0.46164.7216957874540.70529793535658
0.47164.8696591062790.723778778790301
0.48165.0195815151310.72968667387935
0.49165.1687529819590.721103400870615
0.5165.3142282949410.697303765549887
0.51165.4530992669920.658939994181286
0.52165.5827867221430.608106919243374
0.53165.7013037132890.548913278841304
0.54165.8074430956850.484992779622642
0.55165.9008568361520.421211582324045
0.56165.9820173686780.361050680601932
0.57166.0520761706470.308375601112603
0.58166.1126545358590.264631348149811
0.59166.1656114194630.230762622728454
0.6166.2128318086570.206563935180402
0.61166.2560681815470.190615862013005
0.62166.2968511782850.181619011093847
0.63166.3364681280900.178043130680648
0.64166.3759934817160.178545461641984
0.65166.4163462563320.182674079220957
0.66166.4583477173930.190158826102255
0.67166.502757647410.200837207875524
0.68166.5502780264550.214253371608165
0.69166.6015255456500.230256929546648
0.7166.6569849098490.247582125162118
0.71166.7169596146510.265528948369819
0.72166.7815342829540.282501654593418
0.73166.8505546179470.297998062422705
0.74166.9236224563680.310899959975405
0.75167.0000997579770.32026971981596
0.76167.0791193621990.325532877949749
0.77167.1596097525490.32570311427415
0.78167.2403495873070.320448613693525
0.79167.320069059230.309722548681767
0.8167.3976077174490.294061778376197
0.81167.4721270585550.275174334647321
0.82167.5433676250200.255020681134983
0.83167.6119339091570.237495348803552
0.84167.6795718976260.226514829293205
0.85167.7493532990650.227031854140889
0.86167.8255976717470.243910370036513
0.87167.9133038746880.278564859561676
0.88168.0169394231120.326615961367182
0.89168.1387509847730.376796453926872
0.9168.2772504168470.414087221663706
0.91168.4268626881090.424781927829393
0.92168.5794059010660.403855798245067
0.93168.7269226826320.358229848668850
0.94168.8640344527950.303130560135169
0.95168.9878450910980.250457441174903
0.96169.0954497225070.199075500477068
0.97169.1820444758800.140889208877041
0.98169.2428177144630.0789674405297183
0.99169.2771892753910.0301971031873680

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 161.669862793993 & 0.107161108698770 \tabularnewline
0.02 & 161.73469669621 & 0.0527085506709613 \tabularnewline
0.03 & 161.773147483217 & 0.0255875547632438 \tabularnewline
0.04 & 161.793222660943 & 0.0232890997796576 \tabularnewline
0.05 & 161.807757744510 & 0.030591133466719 \tabularnewline
0.06 & 161.8228687665 & 0.0385931467950612 \tabularnewline
0.07 & 161.840088500816 & 0.0458303006390817 \tabularnewline
0.08 & 161.859682232105 & 0.054730754510595 \tabularnewline
0.09 & 161.882402865032 & 0.0697755069254598 \tabularnewline
0.1 & 161.909859648217 & 0.0930574858809325 \tabularnewline
0.11 & 161.944014137005 & 0.123417258631698 \tabularnewline
0.12 & 161.986349184544 & 0.157100452617065 \tabularnewline
0.13 & 162.037176272893 & 0.188752213499760 \tabularnewline
0.14 & 162.095356081751 & 0.213511820198957 \tabularnewline
0.15 & 162.158488465427 & 0.227575678919312 \tabularnewline
0.16 & 162.223456657708 & 0.22991813699286 \tabularnewline
0.17 & 162.287123416813 & 0.221387942279396 \tabularnewline
0.18 & 162.346974609631 & 0.205146203697727 \tabularnewline
0.19 & 162.401563422284 & 0.185969723120274 \tabularnewline
0.2 & 162.45069027584 & 0.168374894619059 \tabularnewline
0.21 & 162.495328353899 & 0.157432971888234 \tabularnewline
0.22 & 162.537354640347 & 0.156451513664383 \tabularnewline
0.23 & 162.579168124162 & 0.167189026754789 \tabularnewline
0.24 & 162.623276547359 & 0.188582404911192 \tabularnewline
0.25 & 162.671920080371 & 0.218337493357573 \tabularnewline
0.26 & 162.72678211311 & 0.253076833284939 \tabularnewline
0.27 & 162.788817752479 & 0.289220450376897 \tabularnewline
0.28 & 162.85821073766 & 0.323801798272737 \tabularnewline
0.29 & 162.934450069246 & 0.354120764464969 \tabularnewline
0.3 & 163.016500661444 & 0.378563444166638 \tabularnewline
0.31 & 163.103030720490 & 0.396377132170097 \tabularnewline
0.32 & 163.192654659318 & 0.408104034397649 \tabularnewline
0.33 & 163.284154347923 & 0.415119949318164 \tabularnewline
0.34 & 163.376651140218 & 0.419092145884095 \tabularnewline
0.35 & 163.469712969585 & 0.422590301043613 \tabularnewline
0.36 & 163.563391889096 & 0.427669320288706 \tabularnewline
0.37 & 163.658196236411 & 0.436421969879493 \tabularnewline
0.38 & 163.755007916333 & 0.450906315234356 \tabularnewline
0.39 & 163.854959325967 & 0.471241805505215 \tabularnewline
0.4 & 163.959286143482 & 0.498009611101792 \tabularnewline
0.41 & 164.069171341745 & 0.530175708706864 \tabularnewline
0.42 & 164.185592698448 & 0.566553529231077 \tabularnewline
0.43 & 164.309182185130 & 0.604686347951597 \tabularnewline
0.44 & 164.440103164087 & 0.642756148553609 \tabularnewline
0.45 & 164.577952129673 & 0.677329206227081 \tabularnewline
0.46 & 164.721695787454 & 0.70529793535658 \tabularnewline
0.47 & 164.869659106279 & 0.723778778790301 \tabularnewline
0.48 & 165.019581515131 & 0.72968667387935 \tabularnewline
0.49 & 165.168752981959 & 0.721103400870615 \tabularnewline
0.5 & 165.314228294941 & 0.697303765549887 \tabularnewline
0.51 & 165.453099266992 & 0.658939994181286 \tabularnewline
0.52 & 165.582786722143 & 0.608106919243374 \tabularnewline
0.53 & 165.701303713289 & 0.548913278841304 \tabularnewline
0.54 & 165.807443095685 & 0.484992779622642 \tabularnewline
0.55 & 165.900856836152 & 0.421211582324045 \tabularnewline
0.56 & 165.982017368678 & 0.361050680601932 \tabularnewline
0.57 & 166.052076170647 & 0.308375601112603 \tabularnewline
0.58 & 166.112654535859 & 0.264631348149811 \tabularnewline
0.59 & 166.165611419463 & 0.230762622728454 \tabularnewline
0.6 & 166.212831808657 & 0.206563935180402 \tabularnewline
0.61 & 166.256068181547 & 0.190615862013005 \tabularnewline
0.62 & 166.296851178285 & 0.181619011093847 \tabularnewline
0.63 & 166.336468128090 & 0.178043130680648 \tabularnewline
0.64 & 166.375993481716 & 0.178545461641984 \tabularnewline
0.65 & 166.416346256332 & 0.182674079220957 \tabularnewline
0.66 & 166.458347717393 & 0.190158826102255 \tabularnewline
0.67 & 166.50275764741 & 0.200837207875524 \tabularnewline
0.68 & 166.550278026455 & 0.214253371608165 \tabularnewline
0.69 & 166.601525545650 & 0.230256929546648 \tabularnewline
0.7 & 166.656984909849 & 0.247582125162118 \tabularnewline
0.71 & 166.716959614651 & 0.265528948369819 \tabularnewline
0.72 & 166.781534282954 & 0.282501654593418 \tabularnewline
0.73 & 166.850554617947 & 0.297998062422705 \tabularnewline
0.74 & 166.923622456368 & 0.310899959975405 \tabularnewline
0.75 & 167.000099757977 & 0.32026971981596 \tabularnewline
0.76 & 167.079119362199 & 0.325532877949749 \tabularnewline
0.77 & 167.159609752549 & 0.32570311427415 \tabularnewline
0.78 & 167.240349587307 & 0.320448613693525 \tabularnewline
0.79 & 167.32006905923 & 0.309722548681767 \tabularnewline
0.8 & 167.397607717449 & 0.294061778376197 \tabularnewline
0.81 & 167.472127058555 & 0.275174334647321 \tabularnewline
0.82 & 167.543367625020 & 0.255020681134983 \tabularnewline
0.83 & 167.611933909157 & 0.237495348803552 \tabularnewline
0.84 & 167.679571897626 & 0.226514829293205 \tabularnewline
0.85 & 167.749353299065 & 0.227031854140889 \tabularnewline
0.86 & 167.825597671747 & 0.243910370036513 \tabularnewline
0.87 & 167.913303874688 & 0.278564859561676 \tabularnewline
0.88 & 168.016939423112 & 0.326615961367182 \tabularnewline
0.89 & 168.138750984773 & 0.376796453926872 \tabularnewline
0.9 & 168.277250416847 & 0.414087221663706 \tabularnewline
0.91 & 168.426862688109 & 0.424781927829393 \tabularnewline
0.92 & 168.579405901066 & 0.403855798245067 \tabularnewline
0.93 & 168.726922682632 & 0.358229848668850 \tabularnewline
0.94 & 168.864034452795 & 0.303130560135169 \tabularnewline
0.95 & 168.987845091098 & 0.250457441174903 \tabularnewline
0.96 & 169.095449722507 & 0.199075500477068 \tabularnewline
0.97 & 169.182044475880 & 0.140889208877041 \tabularnewline
0.98 & 169.242817714463 & 0.0789674405297183 \tabularnewline
0.99 & 169.277189275391 & 0.0301971031873680 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46285&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]161.669862793993[/C][C]0.107161108698770[/C][/ROW]
[ROW][C]0.02[/C][C]161.73469669621[/C][C]0.0527085506709613[/C][/ROW]
[ROW][C]0.03[/C][C]161.773147483217[/C][C]0.0255875547632438[/C][/ROW]
[ROW][C]0.04[/C][C]161.793222660943[/C][C]0.0232890997796576[/C][/ROW]
[ROW][C]0.05[/C][C]161.807757744510[/C][C]0.030591133466719[/C][/ROW]
[ROW][C]0.06[/C][C]161.8228687665[/C][C]0.0385931467950612[/C][/ROW]
[ROW][C]0.07[/C][C]161.840088500816[/C][C]0.0458303006390817[/C][/ROW]
[ROW][C]0.08[/C][C]161.859682232105[/C][C]0.054730754510595[/C][/ROW]
[ROW][C]0.09[/C][C]161.882402865032[/C][C]0.0697755069254598[/C][/ROW]
[ROW][C]0.1[/C][C]161.909859648217[/C][C]0.0930574858809325[/C][/ROW]
[ROW][C]0.11[/C][C]161.944014137005[/C][C]0.123417258631698[/C][/ROW]
[ROW][C]0.12[/C][C]161.986349184544[/C][C]0.157100452617065[/C][/ROW]
[ROW][C]0.13[/C][C]162.037176272893[/C][C]0.188752213499760[/C][/ROW]
[ROW][C]0.14[/C][C]162.095356081751[/C][C]0.213511820198957[/C][/ROW]
[ROW][C]0.15[/C][C]162.158488465427[/C][C]0.227575678919312[/C][/ROW]
[ROW][C]0.16[/C][C]162.223456657708[/C][C]0.22991813699286[/C][/ROW]
[ROW][C]0.17[/C][C]162.287123416813[/C][C]0.221387942279396[/C][/ROW]
[ROW][C]0.18[/C][C]162.346974609631[/C][C]0.205146203697727[/C][/ROW]
[ROW][C]0.19[/C][C]162.401563422284[/C][C]0.185969723120274[/C][/ROW]
[ROW][C]0.2[/C][C]162.45069027584[/C][C]0.168374894619059[/C][/ROW]
[ROW][C]0.21[/C][C]162.495328353899[/C][C]0.157432971888234[/C][/ROW]
[ROW][C]0.22[/C][C]162.537354640347[/C][C]0.156451513664383[/C][/ROW]
[ROW][C]0.23[/C][C]162.579168124162[/C][C]0.167189026754789[/C][/ROW]
[ROW][C]0.24[/C][C]162.623276547359[/C][C]0.188582404911192[/C][/ROW]
[ROW][C]0.25[/C][C]162.671920080371[/C][C]0.218337493357573[/C][/ROW]
[ROW][C]0.26[/C][C]162.72678211311[/C][C]0.253076833284939[/C][/ROW]
[ROW][C]0.27[/C][C]162.788817752479[/C][C]0.289220450376897[/C][/ROW]
[ROW][C]0.28[/C][C]162.85821073766[/C][C]0.323801798272737[/C][/ROW]
[ROW][C]0.29[/C][C]162.934450069246[/C][C]0.354120764464969[/C][/ROW]
[ROW][C]0.3[/C][C]163.016500661444[/C][C]0.378563444166638[/C][/ROW]
[ROW][C]0.31[/C][C]163.103030720490[/C][C]0.396377132170097[/C][/ROW]
[ROW][C]0.32[/C][C]163.192654659318[/C][C]0.408104034397649[/C][/ROW]
[ROW][C]0.33[/C][C]163.284154347923[/C][C]0.415119949318164[/C][/ROW]
[ROW][C]0.34[/C][C]163.376651140218[/C][C]0.419092145884095[/C][/ROW]
[ROW][C]0.35[/C][C]163.469712969585[/C][C]0.422590301043613[/C][/ROW]
[ROW][C]0.36[/C][C]163.563391889096[/C][C]0.427669320288706[/C][/ROW]
[ROW][C]0.37[/C][C]163.658196236411[/C][C]0.436421969879493[/C][/ROW]
[ROW][C]0.38[/C][C]163.755007916333[/C][C]0.450906315234356[/C][/ROW]
[ROW][C]0.39[/C][C]163.854959325967[/C][C]0.471241805505215[/C][/ROW]
[ROW][C]0.4[/C][C]163.959286143482[/C][C]0.498009611101792[/C][/ROW]
[ROW][C]0.41[/C][C]164.069171341745[/C][C]0.530175708706864[/C][/ROW]
[ROW][C]0.42[/C][C]164.185592698448[/C][C]0.566553529231077[/C][/ROW]
[ROW][C]0.43[/C][C]164.309182185130[/C][C]0.604686347951597[/C][/ROW]
[ROW][C]0.44[/C][C]164.440103164087[/C][C]0.642756148553609[/C][/ROW]
[ROW][C]0.45[/C][C]164.577952129673[/C][C]0.677329206227081[/C][/ROW]
[ROW][C]0.46[/C][C]164.721695787454[/C][C]0.70529793535658[/C][/ROW]
[ROW][C]0.47[/C][C]164.869659106279[/C][C]0.723778778790301[/C][/ROW]
[ROW][C]0.48[/C][C]165.019581515131[/C][C]0.72968667387935[/C][/ROW]
[ROW][C]0.49[/C][C]165.168752981959[/C][C]0.721103400870615[/C][/ROW]
[ROW][C]0.5[/C][C]165.314228294941[/C][C]0.697303765549887[/C][/ROW]
[ROW][C]0.51[/C][C]165.453099266992[/C][C]0.658939994181286[/C][/ROW]
[ROW][C]0.52[/C][C]165.582786722143[/C][C]0.608106919243374[/C][/ROW]
[ROW][C]0.53[/C][C]165.701303713289[/C][C]0.548913278841304[/C][/ROW]
[ROW][C]0.54[/C][C]165.807443095685[/C][C]0.484992779622642[/C][/ROW]
[ROW][C]0.55[/C][C]165.900856836152[/C][C]0.421211582324045[/C][/ROW]
[ROW][C]0.56[/C][C]165.982017368678[/C][C]0.361050680601932[/C][/ROW]
[ROW][C]0.57[/C][C]166.052076170647[/C][C]0.308375601112603[/C][/ROW]
[ROW][C]0.58[/C][C]166.112654535859[/C][C]0.264631348149811[/C][/ROW]
[ROW][C]0.59[/C][C]166.165611419463[/C][C]0.230762622728454[/C][/ROW]
[ROW][C]0.6[/C][C]166.212831808657[/C][C]0.206563935180402[/C][/ROW]
[ROW][C]0.61[/C][C]166.256068181547[/C][C]0.190615862013005[/C][/ROW]
[ROW][C]0.62[/C][C]166.296851178285[/C][C]0.181619011093847[/C][/ROW]
[ROW][C]0.63[/C][C]166.336468128090[/C][C]0.178043130680648[/C][/ROW]
[ROW][C]0.64[/C][C]166.375993481716[/C][C]0.178545461641984[/C][/ROW]
[ROW][C]0.65[/C][C]166.416346256332[/C][C]0.182674079220957[/C][/ROW]
[ROW][C]0.66[/C][C]166.458347717393[/C][C]0.190158826102255[/C][/ROW]
[ROW][C]0.67[/C][C]166.50275764741[/C][C]0.200837207875524[/C][/ROW]
[ROW][C]0.68[/C][C]166.550278026455[/C][C]0.214253371608165[/C][/ROW]
[ROW][C]0.69[/C][C]166.601525545650[/C][C]0.230256929546648[/C][/ROW]
[ROW][C]0.7[/C][C]166.656984909849[/C][C]0.247582125162118[/C][/ROW]
[ROW][C]0.71[/C][C]166.716959614651[/C][C]0.265528948369819[/C][/ROW]
[ROW][C]0.72[/C][C]166.781534282954[/C][C]0.282501654593418[/C][/ROW]
[ROW][C]0.73[/C][C]166.850554617947[/C][C]0.297998062422705[/C][/ROW]
[ROW][C]0.74[/C][C]166.923622456368[/C][C]0.310899959975405[/C][/ROW]
[ROW][C]0.75[/C][C]167.000099757977[/C][C]0.32026971981596[/C][/ROW]
[ROW][C]0.76[/C][C]167.079119362199[/C][C]0.325532877949749[/C][/ROW]
[ROW][C]0.77[/C][C]167.159609752549[/C][C]0.32570311427415[/C][/ROW]
[ROW][C]0.78[/C][C]167.240349587307[/C][C]0.320448613693525[/C][/ROW]
[ROW][C]0.79[/C][C]167.32006905923[/C][C]0.309722548681767[/C][/ROW]
[ROW][C]0.8[/C][C]167.397607717449[/C][C]0.294061778376197[/C][/ROW]
[ROW][C]0.81[/C][C]167.472127058555[/C][C]0.275174334647321[/C][/ROW]
[ROW][C]0.82[/C][C]167.543367625020[/C][C]0.255020681134983[/C][/ROW]
[ROW][C]0.83[/C][C]167.611933909157[/C][C]0.237495348803552[/C][/ROW]
[ROW][C]0.84[/C][C]167.679571897626[/C][C]0.226514829293205[/C][/ROW]
[ROW][C]0.85[/C][C]167.749353299065[/C][C]0.227031854140889[/C][/ROW]
[ROW][C]0.86[/C][C]167.825597671747[/C][C]0.243910370036513[/C][/ROW]
[ROW][C]0.87[/C][C]167.913303874688[/C][C]0.278564859561676[/C][/ROW]
[ROW][C]0.88[/C][C]168.016939423112[/C][C]0.326615961367182[/C][/ROW]
[ROW][C]0.89[/C][C]168.138750984773[/C][C]0.376796453926872[/C][/ROW]
[ROW][C]0.9[/C][C]168.277250416847[/C][C]0.414087221663706[/C][/ROW]
[ROW][C]0.91[/C][C]168.426862688109[/C][C]0.424781927829393[/C][/ROW]
[ROW][C]0.92[/C][C]168.579405901066[/C][C]0.403855798245067[/C][/ROW]
[ROW][C]0.93[/C][C]168.726922682632[/C][C]0.358229848668850[/C][/ROW]
[ROW][C]0.94[/C][C]168.864034452795[/C][C]0.303130560135169[/C][/ROW]
[ROW][C]0.95[/C][C]168.987845091098[/C][C]0.250457441174903[/C][/ROW]
[ROW][C]0.96[/C][C]169.095449722507[/C][C]0.199075500477068[/C][/ROW]
[ROW][C]0.97[/C][C]169.182044475880[/C][C]0.140889208877041[/C][/ROW]
[ROW][C]0.98[/C][C]169.242817714463[/C][C]0.0789674405297183[/C][/ROW]
[ROW][C]0.99[/C][C]169.277189275391[/C][C]0.0301971031873680[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46285&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46285&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
0.01161.6698627939930.107161108698770
0.02161.734696696210.0527085506709613
0.03161.7731474832170.0255875547632438
0.04161.7932226609430.0232890997796576
0.05161.8077577445100.030591133466719
0.06161.82286876650.0385931467950612
0.07161.8400885008160.0458303006390817
0.08161.8596822321050.054730754510595
0.09161.8824028650320.0697755069254598
0.1161.9098596482170.0930574858809325
0.11161.9440141370050.123417258631698
0.12161.9863491845440.157100452617065
0.13162.0371762728930.188752213499760
0.14162.0953560817510.213511820198957
0.15162.1584884654270.227575678919312
0.16162.2234566577080.22991813699286
0.17162.2871234168130.221387942279396
0.18162.3469746096310.205146203697727
0.19162.4015634222840.185969723120274
0.2162.450690275840.168374894619059
0.21162.4953283538990.157432971888234
0.22162.5373546403470.156451513664383
0.23162.5791681241620.167189026754789
0.24162.6232765473590.188582404911192
0.25162.6719200803710.218337493357573
0.26162.726782113110.253076833284939
0.27162.7888177524790.289220450376897
0.28162.858210737660.323801798272737
0.29162.9344500692460.354120764464969
0.3163.0165006614440.378563444166638
0.31163.1030307204900.396377132170097
0.32163.1926546593180.408104034397649
0.33163.2841543479230.415119949318164
0.34163.3766511402180.419092145884095
0.35163.4697129695850.422590301043613
0.36163.5633918890960.427669320288706
0.37163.6581962364110.436421969879493
0.38163.7550079163330.450906315234356
0.39163.8549593259670.471241805505215
0.4163.9592861434820.498009611101792
0.41164.0691713417450.530175708706864
0.42164.1855926984480.566553529231077
0.43164.3091821851300.604686347951597
0.44164.4401031640870.642756148553609
0.45164.5779521296730.677329206227081
0.46164.7216957874540.70529793535658
0.47164.8696591062790.723778778790301
0.48165.0195815151310.72968667387935
0.49165.1687529819590.721103400870615
0.5165.3142282949410.697303765549887
0.51165.4530992669920.658939994181286
0.52165.5827867221430.608106919243374
0.53165.7013037132890.548913278841304
0.54165.8074430956850.484992779622642
0.55165.9008568361520.421211582324045
0.56165.9820173686780.361050680601932
0.57166.0520761706470.308375601112603
0.58166.1126545358590.264631348149811
0.59166.1656114194630.230762622728454
0.6166.2128318086570.206563935180402
0.61166.2560681815470.190615862013005
0.62166.2968511782850.181619011093847
0.63166.3364681280900.178043130680648
0.64166.3759934817160.178545461641984
0.65166.4163462563320.182674079220957
0.66166.4583477173930.190158826102255
0.67166.502757647410.200837207875524
0.68166.5502780264550.214253371608165
0.69166.6015255456500.230256929546648
0.7166.6569849098490.247582125162118
0.71166.7169596146510.265528948369819
0.72166.7815342829540.282501654593418
0.73166.8505546179470.297998062422705
0.74166.9236224563680.310899959975405
0.75167.0000997579770.32026971981596
0.76167.0791193621990.325532877949749
0.77167.1596097525490.32570311427415
0.78167.2403495873070.320448613693525
0.79167.320069059230.309722548681767
0.8167.3976077174490.294061778376197
0.81167.4721270585550.275174334647321
0.82167.5433676250200.255020681134983
0.83167.6119339091570.237495348803552
0.84167.6795718976260.226514829293205
0.85167.7493532990650.227031854140889
0.86167.8255976717470.243910370036513
0.87167.9133038746880.278564859561676
0.88168.0169394231120.326615961367182
0.89168.1387509847730.376796453926872
0.9168.2772504168470.414087221663706
0.91168.4268626881090.424781927829393
0.92168.5794059010660.403855798245067
0.93168.7269226826320.358229848668850
0.94168.8640344527950.303130560135169
0.95168.9878450910980.250457441174903
0.96169.0954497225070.199075500477068
0.97169.1820444758800.140889208877041
0.98169.2428177144630.0789674405297183
0.99169.2771892753910.0301971031873680


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')