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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 13:42:28 +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/t14443946349x0lnxzamch96lf.htm/, Retrieved Tue, 14 May 2024 19:06:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281887, Retrieved Tue, 14 May 2024 19:06:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact64

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Quartiles] [Kwartielen maximu...] [2015-10-09 11:30:25] [9a9e8da277f220390e943650176db0bb]
- RMPD    [Harrell-Davis Quantiles] [Percentielen cons...] [2015-10-09 12:42:28] [25948359fd1b125334369436fee15348] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98.91
98.15
98.59
98.6
98.7
98.33
98.33
98.6
98.52
99.17
99.49
98.83
98.83
97.39
99.28
98.78
98.75
98.47
98.47
97.82
97.79
97.96
98.21
98.34
98.34
98.49
98.14
98.05
97.77
97.59
97.59
97.67
97.67
97.36
97.31
97.24
97.24
96.89
96.48
96.47
97.13
97.21
97.43
97.98
97.97
98.2
98.67
98.75
98.77
98.72
99.23
99.67
99.76
99.57
99.57
100.21
100.62
101.05
101.42
101.42
101.52
101.87
101.53
101.77
101.76
102.04
102.05
101.9
102.17
102.14
102.09
102.27

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281887&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281887&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281887&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0196.51165167988840.120863808347796
0.0296.60431874958370.237030728046063
0.0396.73207605946780.287545770289826
0.0496.86724089984680.273762094287248
0.0596.98795649425370.227858902076171
0.0697.0848408692860.178408454886048
0.0797.15859473481930.140531543129571
0.0897.21482517737250.118978133853361
0.0997.26000116564820.112021981539074
0.197.29942862025450.114925579763365
0.1197.33669715182320.123001274684066
0.1297.37385659396460.132906214773961
0.1397.41182818458980.142515206619507
0.1497.45081231359430.150803399593297
0.1597.49061194699720.157070379477726
0.1697.53086280436280.161223111409624
0.1797.57118431464150.163821471643126
0.1897.61126735489990.165252213097328
0.1997.65091200414360.166134349554337
0.297.69002747952370.166944327772863
0.2197.72860727178260.167902591051574
0.2297.76669303377570.169124782170919
0.2397.80433922180550.170294198574236
0.2497.84158670353650.171342496580921
0.2597.87844873033190.172263659433654
0.2697.914908403290.172557921414476
0.2797.95092413871430.172460404652192
0.2897.9864389234520.171768332210704
0.2998.02138989937360.170610798914781
0.398.05571625421210.169072905181542
0.3198.08936479589260.167117475714248
0.3298.12229350304290.16481745473265
0.3398.15447366370220.162182888804483
0.3498.18589107976140.159544628356989
0.3598.21654648438880.156687829475971
0.3698.2464550365470.153887530155644
0.3798.27564466603040.151161342083577
0.3898.30415316816320.148520234066215
0.3998.33202421596380.146088323425412
0.498.35930274904560.14385229495948
0.4198.38603040031680.141718469220715
0.4298.41224166961360.139690472278506
0.4398.43796144882910.137547310692786
0.4498.46320430312740.135477922938098
0.4598.48797570214880.133341184580776
0.4698.51227524851660.1310967095584
0.4798.53610190136250.128697900605635
0.4898.55946121535350.12620955830233
0.4998.58237463556370.123752115038233
0.598.60489080691290.121456981312175
0.5198.62709859136510.11978552191984
0.5298.6491410094390.118702231105529
0.5398.67122868925080.118853310552694
0.5498.69365075708920.120734182586113
0.5598.71678064518540.124866979407849
0.5698.74107425418490.131777620737277
0.5798.76705848252570.141870137292327
0.5898.79530941479130.155296847584103
0.5998.82642138315430.171994579642451
0.698.86097042999590.191668191923694
0.6198.89947797149120.213663125264483
0.6298.94238212032550.237340769767049
0.6398.99002455544120.261810215742697
0.6499.0426594996630.286623674958233
0.6599.10048799623760.311341103480058
0.6699.16371537267410.33602170054111
0.6799.23262317017590.361166159154367
0.6899.30764008398340.387821743292431
0.6999.3893912693710.417347659444318
0.799.47870362235110.451009031726201
0.7199.57654805612820.489725580140701
0.7299.6839093097510.533326401748666
0.7399.80158900857480.580654887428487
0.7499.92996627995640.628790812192185
0.75100.0687580850660.673895176075687
0.76100.2168331933810.711276641082728
0.77100.3721341410.736058772100505
0.78100.5317472864810.744418171617221
0.79100.6921327264330.734054729911186
0.8100.8494887165660.704581237723747
0.81101.0001890126320.658128539070883
0.82101.1412076470270.598777133557743
0.83101.270443332590.531887231017555
0.84101.3868778390230.463158903321924
0.85101.4905436164490.397789206802704
0.86101.5823226461830.339412899016938
0.87101.6636358174210.289902636107218
0.88101.7360996075680.249169434328694
0.89101.8012233935070.216134413397461
0.9101.8602034394160.188609223714446
0.91101.9138469884480.164597246299216
0.92101.9626355416890.142404768103992
0.93102.0069120194930.121289426834727
0.94102.047163188360.101517898887812
0.95102.0843786333450.0842612070372282
0.96102.1204331823190.0709967350616105
0.97102.1580936420420.0642416679257346
0.98102.1993854043660.0682096135881918
0.99102.2409662033540.0833084104077735

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 96.5116516798884 & 0.120863808347796 \tabularnewline
0.02 & 96.6043187495837 & 0.237030728046063 \tabularnewline
0.03 & 96.7320760594678 & 0.287545770289826 \tabularnewline
0.04 & 96.8672408998468 & 0.273762094287248 \tabularnewline
0.05 & 96.9879564942537 & 0.227858902076171 \tabularnewline
0.06 & 97.084840869286 & 0.178408454886048 \tabularnewline
0.07 & 97.1585947348193 & 0.140531543129571 \tabularnewline
0.08 & 97.2148251773725 & 0.118978133853361 \tabularnewline
0.09 & 97.2600011656482 & 0.112021981539074 \tabularnewline
0.1 & 97.2994286202545 & 0.114925579763365 \tabularnewline
0.11 & 97.3366971518232 & 0.123001274684066 \tabularnewline
0.12 & 97.3738565939646 & 0.132906214773961 \tabularnewline
0.13 & 97.4118281845898 & 0.142515206619507 \tabularnewline
0.14 & 97.4508123135943 & 0.150803399593297 \tabularnewline
0.15 & 97.4906119469972 & 0.157070379477726 \tabularnewline
0.16 & 97.5308628043628 & 0.161223111409624 \tabularnewline
0.17 & 97.5711843146415 & 0.163821471643126 \tabularnewline
0.18 & 97.6112673548999 & 0.165252213097328 \tabularnewline
0.19 & 97.6509120041436 & 0.166134349554337 \tabularnewline
0.2 & 97.6900274795237 & 0.166944327772863 \tabularnewline
0.21 & 97.7286072717826 & 0.167902591051574 \tabularnewline
0.22 & 97.7666930337757 & 0.169124782170919 \tabularnewline
0.23 & 97.8043392218055 & 0.170294198574236 \tabularnewline
0.24 & 97.8415867035365 & 0.171342496580921 \tabularnewline
0.25 & 97.8784487303319 & 0.172263659433654 \tabularnewline
0.26 & 97.91490840329 & 0.172557921414476 \tabularnewline
0.27 & 97.9509241387143 & 0.172460404652192 \tabularnewline
0.28 & 97.986438923452 & 0.171768332210704 \tabularnewline
0.29 & 98.0213898993736 & 0.170610798914781 \tabularnewline
0.3 & 98.0557162542121 & 0.169072905181542 \tabularnewline
0.31 & 98.0893647958926 & 0.167117475714248 \tabularnewline
0.32 & 98.1222935030429 & 0.16481745473265 \tabularnewline
0.33 & 98.1544736637022 & 0.162182888804483 \tabularnewline
0.34 & 98.1858910797614 & 0.159544628356989 \tabularnewline
0.35 & 98.2165464843888 & 0.156687829475971 \tabularnewline
0.36 & 98.246455036547 & 0.153887530155644 \tabularnewline
0.37 & 98.2756446660304 & 0.151161342083577 \tabularnewline
0.38 & 98.3041531681632 & 0.148520234066215 \tabularnewline
0.39 & 98.3320242159638 & 0.146088323425412 \tabularnewline
0.4 & 98.3593027490456 & 0.14385229495948 \tabularnewline
0.41 & 98.3860304003168 & 0.141718469220715 \tabularnewline
0.42 & 98.4122416696136 & 0.139690472278506 \tabularnewline
0.43 & 98.4379614488291 & 0.137547310692786 \tabularnewline
0.44 & 98.4632043031274 & 0.135477922938098 \tabularnewline
0.45 & 98.4879757021488 & 0.133341184580776 \tabularnewline
0.46 & 98.5122752485166 & 0.1310967095584 \tabularnewline
0.47 & 98.5361019013625 & 0.128697900605635 \tabularnewline
0.48 & 98.5594612153535 & 0.12620955830233 \tabularnewline
0.49 & 98.5823746355637 & 0.123752115038233 \tabularnewline
0.5 & 98.6048908069129 & 0.121456981312175 \tabularnewline
0.51 & 98.6270985913651 & 0.11978552191984 \tabularnewline
0.52 & 98.649141009439 & 0.118702231105529 \tabularnewline
0.53 & 98.6712286892508 & 0.118853310552694 \tabularnewline
0.54 & 98.6936507570892 & 0.120734182586113 \tabularnewline
0.55 & 98.7167806451854 & 0.124866979407849 \tabularnewline
0.56 & 98.7410742541849 & 0.131777620737277 \tabularnewline
0.57 & 98.7670584825257 & 0.141870137292327 \tabularnewline
0.58 & 98.7953094147913 & 0.155296847584103 \tabularnewline
0.59 & 98.8264213831543 & 0.171994579642451 \tabularnewline
0.6 & 98.8609704299959 & 0.191668191923694 \tabularnewline
0.61 & 98.8994779714912 & 0.213663125264483 \tabularnewline
0.62 & 98.9423821203255 & 0.237340769767049 \tabularnewline
0.63 & 98.9900245554412 & 0.261810215742697 \tabularnewline
0.64 & 99.042659499663 & 0.286623674958233 \tabularnewline
0.65 & 99.1004879962376 & 0.311341103480058 \tabularnewline
0.66 & 99.1637153726741 & 0.33602170054111 \tabularnewline
0.67 & 99.2326231701759 & 0.361166159154367 \tabularnewline
0.68 & 99.3076400839834 & 0.387821743292431 \tabularnewline
0.69 & 99.389391269371 & 0.417347659444318 \tabularnewline
0.7 & 99.4787036223511 & 0.451009031726201 \tabularnewline
0.71 & 99.5765480561282 & 0.489725580140701 \tabularnewline
0.72 & 99.683909309751 & 0.533326401748666 \tabularnewline
0.73 & 99.8015890085748 & 0.580654887428487 \tabularnewline
0.74 & 99.9299662799564 & 0.628790812192185 \tabularnewline
0.75 & 100.068758085066 & 0.673895176075687 \tabularnewline
0.76 & 100.216833193381 & 0.711276641082728 \tabularnewline
0.77 & 100.372134141 & 0.736058772100505 \tabularnewline
0.78 & 100.531747286481 & 0.744418171617221 \tabularnewline
0.79 & 100.692132726433 & 0.734054729911186 \tabularnewline
0.8 & 100.849488716566 & 0.704581237723747 \tabularnewline
0.81 & 101.000189012632 & 0.658128539070883 \tabularnewline
0.82 & 101.141207647027 & 0.598777133557743 \tabularnewline
0.83 & 101.27044333259 & 0.531887231017555 \tabularnewline
0.84 & 101.386877839023 & 0.463158903321924 \tabularnewline
0.85 & 101.490543616449 & 0.397789206802704 \tabularnewline
0.86 & 101.582322646183 & 0.339412899016938 \tabularnewline
0.87 & 101.663635817421 & 0.289902636107218 \tabularnewline
0.88 & 101.736099607568 & 0.249169434328694 \tabularnewline
0.89 & 101.801223393507 & 0.216134413397461 \tabularnewline
0.9 & 101.860203439416 & 0.188609223714446 \tabularnewline
0.91 & 101.913846988448 & 0.164597246299216 \tabularnewline
0.92 & 101.962635541689 & 0.142404768103992 \tabularnewline
0.93 & 102.006912019493 & 0.121289426834727 \tabularnewline
0.94 & 102.04716318836 & 0.101517898887812 \tabularnewline
0.95 & 102.084378633345 & 0.0842612070372282 \tabularnewline
0.96 & 102.120433182319 & 0.0709967350616105 \tabularnewline
0.97 & 102.158093642042 & 0.0642416679257346 \tabularnewline
0.98 & 102.199385404366 & 0.0682096135881918 \tabularnewline
0.99 & 102.240966203354 & 0.0833084104077735 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281887&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]96.5116516798884[/C][C]0.120863808347796[/C][/ROW]
[ROW][C]0.02[/C][C]96.6043187495837[/C][C]0.237030728046063[/C][/ROW]
[ROW][C]0.03[/C][C]96.7320760594678[/C][C]0.287545770289826[/C][/ROW]
[ROW][C]0.04[/C][C]96.8672408998468[/C][C]0.273762094287248[/C][/ROW]
[ROW][C]0.05[/C][C]96.9879564942537[/C][C]0.227858902076171[/C][/ROW]
[ROW][C]0.06[/C][C]97.084840869286[/C][C]0.178408454886048[/C][/ROW]
[ROW][C]0.07[/C][C]97.1585947348193[/C][C]0.140531543129571[/C][/ROW]
[ROW][C]0.08[/C][C]97.2148251773725[/C][C]0.118978133853361[/C][/ROW]
[ROW][C]0.09[/C][C]97.2600011656482[/C][C]0.112021981539074[/C][/ROW]
[ROW][C]0.1[/C][C]97.2994286202545[/C][C]0.114925579763365[/C][/ROW]
[ROW][C]0.11[/C][C]97.3366971518232[/C][C]0.123001274684066[/C][/ROW]
[ROW][C]0.12[/C][C]97.3738565939646[/C][C]0.132906214773961[/C][/ROW]
[ROW][C]0.13[/C][C]97.4118281845898[/C][C]0.142515206619507[/C][/ROW]
[ROW][C]0.14[/C][C]97.4508123135943[/C][C]0.150803399593297[/C][/ROW]
[ROW][C]0.15[/C][C]97.4906119469972[/C][C]0.157070379477726[/C][/ROW]
[ROW][C]0.16[/C][C]97.5308628043628[/C][C]0.161223111409624[/C][/ROW]
[ROW][C]0.17[/C][C]97.5711843146415[/C][C]0.163821471643126[/C][/ROW]
[ROW][C]0.18[/C][C]97.6112673548999[/C][C]0.165252213097328[/C][/ROW]
[ROW][C]0.19[/C][C]97.6509120041436[/C][C]0.166134349554337[/C][/ROW]
[ROW][C]0.2[/C][C]97.6900274795237[/C][C]0.166944327772863[/C][/ROW]
[ROW][C]0.21[/C][C]97.7286072717826[/C][C]0.167902591051574[/C][/ROW]
[ROW][C]0.22[/C][C]97.7666930337757[/C][C]0.169124782170919[/C][/ROW]
[ROW][C]0.23[/C][C]97.8043392218055[/C][C]0.170294198574236[/C][/ROW]
[ROW][C]0.24[/C][C]97.8415867035365[/C][C]0.171342496580921[/C][/ROW]
[ROW][C]0.25[/C][C]97.8784487303319[/C][C]0.172263659433654[/C][/ROW]
[ROW][C]0.26[/C][C]97.91490840329[/C][C]0.172557921414476[/C][/ROW]
[ROW][C]0.27[/C][C]97.9509241387143[/C][C]0.172460404652192[/C][/ROW]
[ROW][C]0.28[/C][C]97.986438923452[/C][C]0.171768332210704[/C][/ROW]
[ROW][C]0.29[/C][C]98.0213898993736[/C][C]0.170610798914781[/C][/ROW]
[ROW][C]0.3[/C][C]98.0557162542121[/C][C]0.169072905181542[/C][/ROW]
[ROW][C]0.31[/C][C]98.0893647958926[/C][C]0.167117475714248[/C][/ROW]
[ROW][C]0.32[/C][C]98.1222935030429[/C][C]0.16481745473265[/C][/ROW]
[ROW][C]0.33[/C][C]98.1544736637022[/C][C]0.162182888804483[/C][/ROW]
[ROW][C]0.34[/C][C]98.1858910797614[/C][C]0.159544628356989[/C][/ROW]
[ROW][C]0.35[/C][C]98.2165464843888[/C][C]0.156687829475971[/C][/ROW]
[ROW][C]0.36[/C][C]98.246455036547[/C][C]0.153887530155644[/C][/ROW]
[ROW][C]0.37[/C][C]98.2756446660304[/C][C]0.151161342083577[/C][/ROW]
[ROW][C]0.38[/C][C]98.3041531681632[/C][C]0.148520234066215[/C][/ROW]
[ROW][C]0.39[/C][C]98.3320242159638[/C][C]0.146088323425412[/C][/ROW]
[ROW][C]0.4[/C][C]98.3593027490456[/C][C]0.14385229495948[/C][/ROW]
[ROW][C]0.41[/C][C]98.3860304003168[/C][C]0.141718469220715[/C][/ROW]
[ROW][C]0.42[/C][C]98.4122416696136[/C][C]0.139690472278506[/C][/ROW]
[ROW][C]0.43[/C][C]98.4379614488291[/C][C]0.137547310692786[/C][/ROW]
[ROW][C]0.44[/C][C]98.4632043031274[/C][C]0.135477922938098[/C][/ROW]
[ROW][C]0.45[/C][C]98.4879757021488[/C][C]0.133341184580776[/C][/ROW]
[ROW][C]0.46[/C][C]98.5122752485166[/C][C]0.1310967095584[/C][/ROW]
[ROW][C]0.47[/C][C]98.5361019013625[/C][C]0.128697900605635[/C][/ROW]
[ROW][C]0.48[/C][C]98.5594612153535[/C][C]0.12620955830233[/C][/ROW]
[ROW][C]0.49[/C][C]98.5823746355637[/C][C]0.123752115038233[/C][/ROW]
[ROW][C]0.5[/C][C]98.6048908069129[/C][C]0.121456981312175[/C][/ROW]
[ROW][C]0.51[/C][C]98.6270985913651[/C][C]0.11978552191984[/C][/ROW]
[ROW][C]0.52[/C][C]98.649141009439[/C][C]0.118702231105529[/C][/ROW]
[ROW][C]0.53[/C][C]98.6712286892508[/C][C]0.118853310552694[/C][/ROW]
[ROW][C]0.54[/C][C]98.6936507570892[/C][C]0.120734182586113[/C][/ROW]
[ROW][C]0.55[/C][C]98.7167806451854[/C][C]0.124866979407849[/C][/ROW]
[ROW][C]0.56[/C][C]98.7410742541849[/C][C]0.131777620737277[/C][/ROW]
[ROW][C]0.57[/C][C]98.7670584825257[/C][C]0.141870137292327[/C][/ROW]
[ROW][C]0.58[/C][C]98.7953094147913[/C][C]0.155296847584103[/C][/ROW]
[ROW][C]0.59[/C][C]98.8264213831543[/C][C]0.171994579642451[/C][/ROW]
[ROW][C]0.6[/C][C]98.8609704299959[/C][C]0.191668191923694[/C][/ROW]
[ROW][C]0.61[/C][C]98.8994779714912[/C][C]0.213663125264483[/C][/ROW]
[ROW][C]0.62[/C][C]98.9423821203255[/C][C]0.237340769767049[/C][/ROW]
[ROW][C]0.63[/C][C]98.9900245554412[/C][C]0.261810215742697[/C][/ROW]
[ROW][C]0.64[/C][C]99.042659499663[/C][C]0.286623674958233[/C][/ROW]
[ROW][C]0.65[/C][C]99.1004879962376[/C][C]0.311341103480058[/C][/ROW]
[ROW][C]0.66[/C][C]99.1637153726741[/C][C]0.33602170054111[/C][/ROW]
[ROW][C]0.67[/C][C]99.2326231701759[/C][C]0.361166159154367[/C][/ROW]
[ROW][C]0.68[/C][C]99.3076400839834[/C][C]0.387821743292431[/C][/ROW]
[ROW][C]0.69[/C][C]99.389391269371[/C][C]0.417347659444318[/C][/ROW]
[ROW][C]0.7[/C][C]99.4787036223511[/C][C]0.451009031726201[/C][/ROW]
[ROW][C]0.71[/C][C]99.5765480561282[/C][C]0.489725580140701[/C][/ROW]
[ROW][C]0.72[/C][C]99.683909309751[/C][C]0.533326401748666[/C][/ROW]
[ROW][C]0.73[/C][C]99.8015890085748[/C][C]0.580654887428487[/C][/ROW]
[ROW][C]0.74[/C][C]99.9299662799564[/C][C]0.628790812192185[/C][/ROW]
[ROW][C]0.75[/C][C]100.068758085066[/C][C]0.673895176075687[/C][/ROW]
[ROW][C]0.76[/C][C]100.216833193381[/C][C]0.711276641082728[/C][/ROW]
[ROW][C]0.77[/C][C]100.372134141[/C][C]0.736058772100505[/C][/ROW]
[ROW][C]0.78[/C][C]100.531747286481[/C][C]0.744418171617221[/C][/ROW]
[ROW][C]0.79[/C][C]100.692132726433[/C][C]0.734054729911186[/C][/ROW]
[ROW][C]0.8[/C][C]100.849488716566[/C][C]0.704581237723747[/C][/ROW]
[ROW][C]0.81[/C][C]101.000189012632[/C][C]0.658128539070883[/C][/ROW]
[ROW][C]0.82[/C][C]101.141207647027[/C][C]0.598777133557743[/C][/ROW]
[ROW][C]0.83[/C][C]101.27044333259[/C][C]0.531887231017555[/C][/ROW]
[ROW][C]0.84[/C][C]101.386877839023[/C][C]0.463158903321924[/C][/ROW]
[ROW][C]0.85[/C][C]101.490543616449[/C][C]0.397789206802704[/C][/ROW]
[ROW][C]0.86[/C][C]101.582322646183[/C][C]0.339412899016938[/C][/ROW]
[ROW][C]0.87[/C][C]101.663635817421[/C][C]0.289902636107218[/C][/ROW]
[ROW][C]0.88[/C][C]101.736099607568[/C][C]0.249169434328694[/C][/ROW]
[ROW][C]0.89[/C][C]101.801223393507[/C][C]0.216134413397461[/C][/ROW]
[ROW][C]0.9[/C][C]101.860203439416[/C][C]0.188609223714446[/C][/ROW]
[ROW][C]0.91[/C][C]101.913846988448[/C][C]0.164597246299216[/C][/ROW]
[ROW][C]0.92[/C][C]101.962635541689[/C][C]0.142404768103992[/C][/ROW]
[ROW][C]0.93[/C][C]102.006912019493[/C][C]0.121289426834727[/C][/ROW]
[ROW][C]0.94[/C][C]102.04716318836[/C][C]0.101517898887812[/C][/ROW]
[ROW][C]0.95[/C][C]102.084378633345[/C][C]0.0842612070372282[/C][/ROW]
[ROW][C]0.96[/C][C]102.120433182319[/C][C]0.0709967350616105[/C][/ROW]
[ROW][C]0.97[/C][C]102.158093642042[/C][C]0.0642416679257346[/C][/ROW]
[ROW][C]0.98[/C][C]102.199385404366[/C][C]0.0682096135881918[/C][/ROW]
[ROW][C]0.99[/C][C]102.240966203354[/C][C]0.0833084104077735[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281887&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281887&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
0.0196.51165167988840.120863808347796
0.0296.60431874958370.237030728046063
0.0396.73207605946780.287545770289826
0.0496.86724089984680.273762094287248
0.0596.98795649425370.227858902076171
0.0697.0848408692860.178408454886048
0.0797.15859473481930.140531543129571
0.0897.21482517737250.118978133853361
0.0997.26000116564820.112021981539074
0.197.29942862025450.114925579763365
0.1197.33669715182320.123001274684066
0.1297.37385659396460.132906214773961
0.1397.41182818458980.142515206619507
0.1497.45081231359430.150803399593297
0.1597.49061194699720.157070379477726
0.1697.53086280436280.161223111409624
0.1797.57118431464150.163821471643126
0.1897.61126735489990.165252213097328
0.1997.65091200414360.166134349554337
0.297.69002747952370.166944327772863
0.2197.72860727178260.167902591051574
0.2297.76669303377570.169124782170919
0.2397.80433922180550.170294198574236
0.2497.84158670353650.171342496580921
0.2597.87844873033190.172263659433654
0.2697.914908403290.172557921414476
0.2797.95092413871430.172460404652192
0.2897.9864389234520.171768332210704
0.2998.02138989937360.170610798914781
0.398.05571625421210.169072905181542
0.3198.08936479589260.167117475714248
0.3298.12229350304290.16481745473265
0.3398.15447366370220.162182888804483
0.3498.18589107976140.159544628356989
0.3598.21654648438880.156687829475971
0.3698.2464550365470.153887530155644
0.3798.27564466603040.151161342083577
0.3898.30415316816320.148520234066215
0.3998.33202421596380.146088323425412
0.498.35930274904560.14385229495948
0.4198.38603040031680.141718469220715
0.4298.41224166961360.139690472278506
0.4398.43796144882910.137547310692786
0.4498.46320430312740.135477922938098
0.4598.48797570214880.133341184580776
0.4698.51227524851660.1310967095584
0.4798.53610190136250.128697900605635
0.4898.55946121535350.12620955830233
0.4998.58237463556370.123752115038233
0.598.60489080691290.121456981312175
0.5198.62709859136510.11978552191984
0.5298.6491410094390.118702231105529
0.5398.67122868925080.118853310552694
0.5498.69365075708920.120734182586113
0.5598.71678064518540.124866979407849
0.5698.74107425418490.131777620737277
0.5798.76705848252570.141870137292327
0.5898.79530941479130.155296847584103
0.5998.82642138315430.171994579642451
0.698.86097042999590.191668191923694
0.6198.89947797149120.213663125264483
0.6298.94238212032550.237340769767049
0.6398.99002455544120.261810215742697
0.6499.0426594996630.286623674958233
0.6599.10048799623760.311341103480058
0.6699.16371537267410.33602170054111
0.6799.23262317017590.361166159154367
0.6899.30764008398340.387821743292431
0.6999.3893912693710.417347659444318
0.799.47870362235110.451009031726201
0.7199.57654805612820.489725580140701
0.7299.6839093097510.533326401748666
0.7399.80158900857480.580654887428487
0.7499.92996627995640.628790812192185
0.75100.0687580850660.673895176075687
0.76100.2168331933810.711276641082728
0.77100.3721341410.736058772100505
0.78100.5317472864810.744418171617221
0.79100.6921327264330.734054729911186
0.8100.8494887165660.704581237723747
0.81101.0001890126320.658128539070883
0.82101.1412076470270.598777133557743
0.83101.270443332590.531887231017555
0.84101.3868778390230.463158903321924
0.85101.4905436164490.397789206802704
0.86101.5823226461830.339412899016938
0.87101.6636358174210.289902636107218
0.88101.7360996075680.249169434328694
0.89101.8012233935070.216134413397461
0.9101.8602034394160.188609223714446
0.91101.9138469884480.164597246299216
0.92101.9626355416890.142404768103992
0.93102.0069120194930.121289426834727
0.94102.047163188360.101517898887812
0.95102.0843786333450.0842612070372282
0.96102.1204331823190.0709967350616105
0.97102.1580936420420.0642416679257346
0.98102.1993854043660.0682096135881918
0.99102.2409662033540.0833084104077735


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')