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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 computationMon, 25 Feb 2013 14:42:56 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Feb/25/t1361821408wb95m8ghbes46yh.htm/, Retrieved Fri, 03 May 2024 11:28:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206968, Retrieved Fri, 03 May 2024 11:28:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact107

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] [Harrel-Davis Quan...] [2013-02-25 19:42:56] [d0c193e893cebff5c92468d6d00a5cdb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
99,23
101,14
100,8
98,93
100,97
101,69
102,14
102,52
103,4
105,83
104,35
106,61
105,63
106,73
106,19
107,26
106,27
107,45
107,63
107,45
107,74
108,15
108,99
108,83
110,78
110,66
108,51
108,29
109,33
107,06
108,02
109,43
109,85
110,5
109,9
110,92
108,36
109,01
108,03
106,28
106,6
108,06
107,42
107,58
107,59
109,66
107,85
110,74
108,8
109,18
108,38
108,59
109,52
108,71
109,78
109,77
109,34
111,86
110,74
110,67
111,36
112,21
110,2
110,99
110,43
110,72
111,19
111,52
111,99
111,65
114,45
115,58

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=206968&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=206968&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206968&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
0.0199.13604900520330.567687386768197
0.0299.51883442741760.847523950577471
0.0399.98403129771830.926632364054412
0.04100.4439321980740.869593735608175
0.05100.8592490880820.820362705695038
0.06101.2342002877570.857438944530785
0.07101.5928617909510.973106238507829
0.08101.9590274967611.1285608486606
0.09102.3467691418421.28978967942732
0.1102.7591492161931.4302114303245
0.11103.1905601942621.52962625896234
0.12103.6298928435861.57429938491148
0.13104.0635443848631.55951111886884
0.14104.4780457976571.48947807419697
0.15104.8621677641581.37609450657854
0.16105.208309290121.23607801593163
0.17105.5130365595861.08711975489522
0.18105.7768107224420.944625086736355
0.19106.0031159732950.819770106096752
0.2106.1972919388610.718551630590778
0.21106.3653671619460.641763902517233
0.22106.5131106582150.58623529431991
0.23106.6454105598290.546878709799539
0.24106.7659905344670.517405290628191
0.25106.8774067218940.492995987420753
0.26106.981234713970.469899049365499
0.27107.078351595630.446532379092007
0.28107.1692323238090.422425658824967
0.29107.2542032363750.398136764530254
0.3107.3336210424290.374797344359364
0.31107.4079685384120.353880913503406
0.32107.4778758336620.336324861967376
0.33107.5440868760480.323015537540609
0.34107.6073955346350.313911240525904
0.35107.6685743484580.30863649490297
0.36107.7283138935020.306425668450902
0.37107.7871834972480.306416270998022
0.38107.8456166358070.307875103438771
0.39107.9039182820530.30996163795907
0.4107.9622876183340.312459050974619
0.41108.0208481010630.315089798211407
0.42108.0796775188840.317822206344789
0.43108.1388327156310.320561760552931
0.44108.1983662325630.323477306896897
0.45108.2583345368990.326725043717309
0.46108.3187992580410.330300340508349
0.47108.3798237493890.333970228731754
0.48108.4414673913970.337959562339869
0.49108.5037795848670.341990483035145
0.5108.5667946590970.34614615780814
0.51108.6305282219230.350039922463781
0.52108.6949750046540.353782424790652
0.53108.7601080842930.357152498807853
0.54108.8258794659030.360020491426509
0.55108.8922222654160.362306078012854
0.56108.9590549949170.364028257742313
0.57109.0262885710860.364950414704673
0.58109.0938365349290.365166384751336
0.59109.1616285352160.364692556591583
0.6109.229626397330.36400414693428
0.61109.297841138540.363044725405073
0.62109.3663482242080.362303741345937
0.63109.4352973813940.362376987182328
0.64109.5049126720010.363484858878852
0.65109.5754786215140.366225433065728
0.66109.6473093527510.370731876194393
0.67109.7207001207250.376898985314799
0.68109.7958643364640.384171072429005
0.69109.8728636297870.391642026599802
0.7109.9515427947570.398053114763619
0.71110.031484320450.40172796365147
0.72110.1119973641980.401219452122414
0.73110.1921526370280.395185010161956
0.74110.270867733630.383008019733654
0.75110.3470379629940.364698902381239
0.76110.4196976161080.341254460845961
0.77110.4881881717870.314364090492274
0.78110.5523053171760.286445960945446
0.79110.61239717880.260548452728585
0.8110.6693920216550.23949334439988
0.81110.724743960790.226079248344367
0.82110.7802982452220.221975082017639
0.83110.8380914244330.227409127012767
0.84110.900114337190.241102102842022
0.85110.9680759788360.260421424805098
0.86111.0432134780960.282216236992633
0.87111.1261995967490.303409583662334
0.88111.2172117965110.321264936706549
0.89111.3162626761040.334293646211221
0.9111.4239733200790.342933596485046
0.91111.5430986886940.350898023246346
0.92111.6811837963960.368525346618686
0.93111.8544156565230.417980510547017
0.94112.0914922798210.535030913871509
0.95112.4338370692140.749759107503015
0.96112.9256595165431.04576098600861
0.97113.587043449321.32343148634241
0.98114.3696824382171.42215406974522
0.99115.1150759227881.28285293195596

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 99.1360490052033 & 0.567687386768197 \tabularnewline
0.02 & 99.5188344274176 & 0.847523950577471 \tabularnewline
0.03 & 99.9840312977183 & 0.926632364054412 \tabularnewline
0.04 & 100.443932198074 & 0.869593735608175 \tabularnewline
0.05 & 100.859249088082 & 0.820362705695038 \tabularnewline
0.06 & 101.234200287757 & 0.857438944530785 \tabularnewline
0.07 & 101.592861790951 & 0.973106238507829 \tabularnewline
0.08 & 101.959027496761 & 1.1285608486606 \tabularnewline
0.09 & 102.346769141842 & 1.28978967942732 \tabularnewline
0.1 & 102.759149216193 & 1.4302114303245 \tabularnewline
0.11 & 103.190560194262 & 1.52962625896234 \tabularnewline
0.12 & 103.629892843586 & 1.57429938491148 \tabularnewline
0.13 & 104.063544384863 & 1.55951111886884 \tabularnewline
0.14 & 104.478045797657 & 1.48947807419697 \tabularnewline
0.15 & 104.862167764158 & 1.37609450657854 \tabularnewline
0.16 & 105.20830929012 & 1.23607801593163 \tabularnewline
0.17 & 105.513036559586 & 1.08711975489522 \tabularnewline
0.18 & 105.776810722442 & 0.944625086736355 \tabularnewline
0.19 & 106.003115973295 & 0.819770106096752 \tabularnewline
0.2 & 106.197291938861 & 0.718551630590778 \tabularnewline
0.21 & 106.365367161946 & 0.641763902517233 \tabularnewline
0.22 & 106.513110658215 & 0.58623529431991 \tabularnewline
0.23 & 106.645410559829 & 0.546878709799539 \tabularnewline
0.24 & 106.765990534467 & 0.517405290628191 \tabularnewline
0.25 & 106.877406721894 & 0.492995987420753 \tabularnewline
0.26 & 106.98123471397 & 0.469899049365499 \tabularnewline
0.27 & 107.07835159563 & 0.446532379092007 \tabularnewline
0.28 & 107.169232323809 & 0.422425658824967 \tabularnewline
0.29 & 107.254203236375 & 0.398136764530254 \tabularnewline
0.3 & 107.333621042429 & 0.374797344359364 \tabularnewline
0.31 & 107.407968538412 & 0.353880913503406 \tabularnewline
0.32 & 107.477875833662 & 0.336324861967376 \tabularnewline
0.33 & 107.544086876048 & 0.323015537540609 \tabularnewline
0.34 & 107.607395534635 & 0.313911240525904 \tabularnewline
0.35 & 107.668574348458 & 0.30863649490297 \tabularnewline
0.36 & 107.728313893502 & 0.306425668450902 \tabularnewline
0.37 & 107.787183497248 & 0.306416270998022 \tabularnewline
0.38 & 107.845616635807 & 0.307875103438771 \tabularnewline
0.39 & 107.903918282053 & 0.30996163795907 \tabularnewline
0.4 & 107.962287618334 & 0.312459050974619 \tabularnewline
0.41 & 108.020848101063 & 0.315089798211407 \tabularnewline
0.42 & 108.079677518884 & 0.317822206344789 \tabularnewline
0.43 & 108.138832715631 & 0.320561760552931 \tabularnewline
0.44 & 108.198366232563 & 0.323477306896897 \tabularnewline
0.45 & 108.258334536899 & 0.326725043717309 \tabularnewline
0.46 & 108.318799258041 & 0.330300340508349 \tabularnewline
0.47 & 108.379823749389 & 0.333970228731754 \tabularnewline
0.48 & 108.441467391397 & 0.337959562339869 \tabularnewline
0.49 & 108.503779584867 & 0.341990483035145 \tabularnewline
0.5 & 108.566794659097 & 0.34614615780814 \tabularnewline
0.51 & 108.630528221923 & 0.350039922463781 \tabularnewline
0.52 & 108.694975004654 & 0.353782424790652 \tabularnewline
0.53 & 108.760108084293 & 0.357152498807853 \tabularnewline
0.54 & 108.825879465903 & 0.360020491426509 \tabularnewline
0.55 & 108.892222265416 & 0.362306078012854 \tabularnewline
0.56 & 108.959054994917 & 0.364028257742313 \tabularnewline
0.57 & 109.026288571086 & 0.364950414704673 \tabularnewline
0.58 & 109.093836534929 & 0.365166384751336 \tabularnewline
0.59 & 109.161628535216 & 0.364692556591583 \tabularnewline
0.6 & 109.22962639733 & 0.36400414693428 \tabularnewline
0.61 & 109.29784113854 & 0.363044725405073 \tabularnewline
0.62 & 109.366348224208 & 0.362303741345937 \tabularnewline
0.63 & 109.435297381394 & 0.362376987182328 \tabularnewline
0.64 & 109.504912672001 & 0.363484858878852 \tabularnewline
0.65 & 109.575478621514 & 0.366225433065728 \tabularnewline
0.66 & 109.647309352751 & 0.370731876194393 \tabularnewline
0.67 & 109.720700120725 & 0.376898985314799 \tabularnewline
0.68 & 109.795864336464 & 0.384171072429005 \tabularnewline
0.69 & 109.872863629787 & 0.391642026599802 \tabularnewline
0.7 & 109.951542794757 & 0.398053114763619 \tabularnewline
0.71 & 110.03148432045 & 0.40172796365147 \tabularnewline
0.72 & 110.111997364198 & 0.401219452122414 \tabularnewline
0.73 & 110.192152637028 & 0.395185010161956 \tabularnewline
0.74 & 110.27086773363 & 0.383008019733654 \tabularnewline
0.75 & 110.347037962994 & 0.364698902381239 \tabularnewline
0.76 & 110.419697616108 & 0.341254460845961 \tabularnewline
0.77 & 110.488188171787 & 0.314364090492274 \tabularnewline
0.78 & 110.552305317176 & 0.286445960945446 \tabularnewline
0.79 & 110.6123971788 & 0.260548452728585 \tabularnewline
0.8 & 110.669392021655 & 0.23949334439988 \tabularnewline
0.81 & 110.72474396079 & 0.226079248344367 \tabularnewline
0.82 & 110.780298245222 & 0.221975082017639 \tabularnewline
0.83 & 110.838091424433 & 0.227409127012767 \tabularnewline
0.84 & 110.90011433719 & 0.241102102842022 \tabularnewline
0.85 & 110.968075978836 & 0.260421424805098 \tabularnewline
0.86 & 111.043213478096 & 0.282216236992633 \tabularnewline
0.87 & 111.126199596749 & 0.303409583662334 \tabularnewline
0.88 & 111.217211796511 & 0.321264936706549 \tabularnewline
0.89 & 111.316262676104 & 0.334293646211221 \tabularnewline
0.9 & 111.423973320079 & 0.342933596485046 \tabularnewline
0.91 & 111.543098688694 & 0.350898023246346 \tabularnewline
0.92 & 111.681183796396 & 0.368525346618686 \tabularnewline
0.93 & 111.854415656523 & 0.417980510547017 \tabularnewline
0.94 & 112.091492279821 & 0.535030913871509 \tabularnewline
0.95 & 112.433837069214 & 0.749759107503015 \tabularnewline
0.96 & 112.925659516543 & 1.04576098600861 \tabularnewline
0.97 & 113.58704344932 & 1.32343148634241 \tabularnewline
0.98 & 114.369682438217 & 1.42215406974522 \tabularnewline
0.99 & 115.115075922788 & 1.28285293195596 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206968&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]99.1360490052033[/C][C]0.567687386768197[/C][/ROW]
[ROW][C]0.02[/C][C]99.5188344274176[/C][C]0.847523950577471[/C][/ROW]
[ROW][C]0.03[/C][C]99.9840312977183[/C][C]0.926632364054412[/C][/ROW]
[ROW][C]0.04[/C][C]100.443932198074[/C][C]0.869593735608175[/C][/ROW]
[ROW][C]0.05[/C][C]100.859249088082[/C][C]0.820362705695038[/C][/ROW]
[ROW][C]0.06[/C][C]101.234200287757[/C][C]0.857438944530785[/C][/ROW]
[ROW][C]0.07[/C][C]101.592861790951[/C][C]0.973106238507829[/C][/ROW]
[ROW][C]0.08[/C][C]101.959027496761[/C][C]1.1285608486606[/C][/ROW]
[ROW][C]0.09[/C][C]102.346769141842[/C][C]1.28978967942732[/C][/ROW]
[ROW][C]0.1[/C][C]102.759149216193[/C][C]1.4302114303245[/C][/ROW]
[ROW][C]0.11[/C][C]103.190560194262[/C][C]1.52962625896234[/C][/ROW]
[ROW][C]0.12[/C][C]103.629892843586[/C][C]1.57429938491148[/C][/ROW]
[ROW][C]0.13[/C][C]104.063544384863[/C][C]1.55951111886884[/C][/ROW]
[ROW][C]0.14[/C][C]104.478045797657[/C][C]1.48947807419697[/C][/ROW]
[ROW][C]0.15[/C][C]104.862167764158[/C][C]1.37609450657854[/C][/ROW]
[ROW][C]0.16[/C][C]105.20830929012[/C][C]1.23607801593163[/C][/ROW]
[ROW][C]0.17[/C][C]105.513036559586[/C][C]1.08711975489522[/C][/ROW]
[ROW][C]0.18[/C][C]105.776810722442[/C][C]0.944625086736355[/C][/ROW]
[ROW][C]0.19[/C][C]106.003115973295[/C][C]0.819770106096752[/C][/ROW]
[ROW][C]0.2[/C][C]106.197291938861[/C][C]0.718551630590778[/C][/ROW]
[ROW][C]0.21[/C][C]106.365367161946[/C][C]0.641763902517233[/C][/ROW]
[ROW][C]0.22[/C][C]106.513110658215[/C][C]0.58623529431991[/C][/ROW]
[ROW][C]0.23[/C][C]106.645410559829[/C][C]0.546878709799539[/C][/ROW]
[ROW][C]0.24[/C][C]106.765990534467[/C][C]0.517405290628191[/C][/ROW]
[ROW][C]0.25[/C][C]106.877406721894[/C][C]0.492995987420753[/C][/ROW]
[ROW][C]0.26[/C][C]106.98123471397[/C][C]0.469899049365499[/C][/ROW]
[ROW][C]0.27[/C][C]107.07835159563[/C][C]0.446532379092007[/C][/ROW]
[ROW][C]0.28[/C][C]107.169232323809[/C][C]0.422425658824967[/C][/ROW]
[ROW][C]0.29[/C][C]107.254203236375[/C][C]0.398136764530254[/C][/ROW]
[ROW][C]0.3[/C][C]107.333621042429[/C][C]0.374797344359364[/C][/ROW]
[ROW][C]0.31[/C][C]107.407968538412[/C][C]0.353880913503406[/C][/ROW]
[ROW][C]0.32[/C][C]107.477875833662[/C][C]0.336324861967376[/C][/ROW]
[ROW][C]0.33[/C][C]107.544086876048[/C][C]0.323015537540609[/C][/ROW]
[ROW][C]0.34[/C][C]107.607395534635[/C][C]0.313911240525904[/C][/ROW]
[ROW][C]0.35[/C][C]107.668574348458[/C][C]0.30863649490297[/C][/ROW]
[ROW][C]0.36[/C][C]107.728313893502[/C][C]0.306425668450902[/C][/ROW]
[ROW][C]0.37[/C][C]107.787183497248[/C][C]0.306416270998022[/C][/ROW]
[ROW][C]0.38[/C][C]107.845616635807[/C][C]0.307875103438771[/C][/ROW]
[ROW][C]0.39[/C][C]107.903918282053[/C][C]0.30996163795907[/C][/ROW]
[ROW][C]0.4[/C][C]107.962287618334[/C][C]0.312459050974619[/C][/ROW]
[ROW][C]0.41[/C][C]108.020848101063[/C][C]0.315089798211407[/C][/ROW]
[ROW][C]0.42[/C][C]108.079677518884[/C][C]0.317822206344789[/C][/ROW]
[ROW][C]0.43[/C][C]108.138832715631[/C][C]0.320561760552931[/C][/ROW]
[ROW][C]0.44[/C][C]108.198366232563[/C][C]0.323477306896897[/C][/ROW]
[ROW][C]0.45[/C][C]108.258334536899[/C][C]0.326725043717309[/C][/ROW]
[ROW][C]0.46[/C][C]108.318799258041[/C][C]0.330300340508349[/C][/ROW]
[ROW][C]0.47[/C][C]108.379823749389[/C][C]0.333970228731754[/C][/ROW]
[ROW][C]0.48[/C][C]108.441467391397[/C][C]0.337959562339869[/C][/ROW]
[ROW][C]0.49[/C][C]108.503779584867[/C][C]0.341990483035145[/C][/ROW]
[ROW][C]0.5[/C][C]108.566794659097[/C][C]0.34614615780814[/C][/ROW]
[ROW][C]0.51[/C][C]108.630528221923[/C][C]0.350039922463781[/C][/ROW]
[ROW][C]0.52[/C][C]108.694975004654[/C][C]0.353782424790652[/C][/ROW]
[ROW][C]0.53[/C][C]108.760108084293[/C][C]0.357152498807853[/C][/ROW]
[ROW][C]0.54[/C][C]108.825879465903[/C][C]0.360020491426509[/C][/ROW]
[ROW][C]0.55[/C][C]108.892222265416[/C][C]0.362306078012854[/C][/ROW]
[ROW][C]0.56[/C][C]108.959054994917[/C][C]0.364028257742313[/C][/ROW]
[ROW][C]0.57[/C][C]109.026288571086[/C][C]0.364950414704673[/C][/ROW]
[ROW][C]0.58[/C][C]109.093836534929[/C][C]0.365166384751336[/C][/ROW]
[ROW][C]0.59[/C][C]109.161628535216[/C][C]0.364692556591583[/C][/ROW]
[ROW][C]0.6[/C][C]109.22962639733[/C][C]0.36400414693428[/C][/ROW]
[ROW][C]0.61[/C][C]109.29784113854[/C][C]0.363044725405073[/C][/ROW]
[ROW][C]0.62[/C][C]109.366348224208[/C][C]0.362303741345937[/C][/ROW]
[ROW][C]0.63[/C][C]109.435297381394[/C][C]0.362376987182328[/C][/ROW]
[ROW][C]0.64[/C][C]109.504912672001[/C][C]0.363484858878852[/C][/ROW]
[ROW][C]0.65[/C][C]109.575478621514[/C][C]0.366225433065728[/C][/ROW]
[ROW][C]0.66[/C][C]109.647309352751[/C][C]0.370731876194393[/C][/ROW]
[ROW][C]0.67[/C][C]109.720700120725[/C][C]0.376898985314799[/C][/ROW]
[ROW][C]0.68[/C][C]109.795864336464[/C][C]0.384171072429005[/C][/ROW]
[ROW][C]0.69[/C][C]109.872863629787[/C][C]0.391642026599802[/C][/ROW]
[ROW][C]0.7[/C][C]109.951542794757[/C][C]0.398053114763619[/C][/ROW]
[ROW][C]0.71[/C][C]110.03148432045[/C][C]0.40172796365147[/C][/ROW]
[ROW][C]0.72[/C][C]110.111997364198[/C][C]0.401219452122414[/C][/ROW]
[ROW][C]0.73[/C][C]110.192152637028[/C][C]0.395185010161956[/C][/ROW]
[ROW][C]0.74[/C][C]110.27086773363[/C][C]0.383008019733654[/C][/ROW]
[ROW][C]0.75[/C][C]110.347037962994[/C][C]0.364698902381239[/C][/ROW]
[ROW][C]0.76[/C][C]110.419697616108[/C][C]0.341254460845961[/C][/ROW]
[ROW][C]0.77[/C][C]110.488188171787[/C][C]0.314364090492274[/C][/ROW]
[ROW][C]0.78[/C][C]110.552305317176[/C][C]0.286445960945446[/C][/ROW]
[ROW][C]0.79[/C][C]110.6123971788[/C][C]0.260548452728585[/C][/ROW]
[ROW][C]0.8[/C][C]110.669392021655[/C][C]0.23949334439988[/C][/ROW]
[ROW][C]0.81[/C][C]110.72474396079[/C][C]0.226079248344367[/C][/ROW]
[ROW][C]0.82[/C][C]110.780298245222[/C][C]0.221975082017639[/C][/ROW]
[ROW][C]0.83[/C][C]110.838091424433[/C][C]0.227409127012767[/C][/ROW]
[ROW][C]0.84[/C][C]110.90011433719[/C][C]0.241102102842022[/C][/ROW]
[ROW][C]0.85[/C][C]110.968075978836[/C][C]0.260421424805098[/C][/ROW]
[ROW][C]0.86[/C][C]111.043213478096[/C][C]0.282216236992633[/C][/ROW]
[ROW][C]0.87[/C][C]111.126199596749[/C][C]0.303409583662334[/C][/ROW]
[ROW][C]0.88[/C][C]111.217211796511[/C][C]0.321264936706549[/C][/ROW]
[ROW][C]0.89[/C][C]111.316262676104[/C][C]0.334293646211221[/C][/ROW]
[ROW][C]0.9[/C][C]111.423973320079[/C][C]0.342933596485046[/C][/ROW]
[ROW][C]0.91[/C][C]111.543098688694[/C][C]0.350898023246346[/C][/ROW]
[ROW][C]0.92[/C][C]111.681183796396[/C][C]0.368525346618686[/C][/ROW]
[ROW][C]0.93[/C][C]111.854415656523[/C][C]0.417980510547017[/C][/ROW]
[ROW][C]0.94[/C][C]112.091492279821[/C][C]0.535030913871509[/C][/ROW]
[ROW][C]0.95[/C][C]112.433837069214[/C][C]0.749759107503015[/C][/ROW]
[ROW][C]0.96[/C][C]112.925659516543[/C][C]1.04576098600861[/C][/ROW]
[ROW][C]0.97[/C][C]113.58704344932[/C][C]1.32343148634241[/C][/ROW]
[ROW][C]0.98[/C][C]114.369682438217[/C][C]1.42215406974522[/C][/ROW]
[ROW][C]0.99[/C][C]115.115075922788[/C][C]1.28285293195596[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206968&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206968&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
0.0199.13604900520330.567687386768197
0.0299.51883442741760.847523950577471
0.0399.98403129771830.926632364054412
0.04100.4439321980740.869593735608175
0.05100.8592490880820.820362705695038
0.06101.2342002877570.857438944530785
0.07101.5928617909510.973106238507829
0.08101.9590274967611.1285608486606
0.09102.3467691418421.28978967942732
0.1102.7591492161931.4302114303245
0.11103.1905601942621.52962625896234
0.12103.6298928435861.57429938491148
0.13104.0635443848631.55951111886884
0.14104.4780457976571.48947807419697
0.15104.8621677641581.37609450657854
0.16105.208309290121.23607801593163
0.17105.5130365595861.08711975489522
0.18105.7768107224420.944625086736355
0.19106.0031159732950.819770106096752
0.2106.1972919388610.718551630590778
0.21106.3653671619460.641763902517233
0.22106.5131106582150.58623529431991
0.23106.6454105598290.546878709799539
0.24106.7659905344670.517405290628191
0.25106.8774067218940.492995987420753
0.26106.981234713970.469899049365499
0.27107.078351595630.446532379092007
0.28107.1692323238090.422425658824967
0.29107.2542032363750.398136764530254
0.3107.3336210424290.374797344359364
0.31107.4079685384120.353880913503406
0.32107.4778758336620.336324861967376
0.33107.5440868760480.323015537540609
0.34107.6073955346350.313911240525904
0.35107.6685743484580.30863649490297
0.36107.7283138935020.306425668450902
0.37107.7871834972480.306416270998022
0.38107.8456166358070.307875103438771
0.39107.9039182820530.30996163795907
0.4107.9622876183340.312459050974619
0.41108.0208481010630.315089798211407
0.42108.0796775188840.317822206344789
0.43108.1388327156310.320561760552931
0.44108.1983662325630.323477306896897
0.45108.2583345368990.326725043717309
0.46108.3187992580410.330300340508349
0.47108.3798237493890.333970228731754
0.48108.4414673913970.337959562339869
0.49108.5037795848670.341990483035145
0.5108.5667946590970.34614615780814
0.51108.6305282219230.350039922463781
0.52108.6949750046540.353782424790652
0.53108.7601080842930.357152498807853
0.54108.8258794659030.360020491426509
0.55108.8922222654160.362306078012854
0.56108.9590549949170.364028257742313
0.57109.0262885710860.364950414704673
0.58109.0938365349290.365166384751336
0.59109.1616285352160.364692556591583
0.6109.229626397330.36400414693428
0.61109.297841138540.363044725405073
0.62109.3663482242080.362303741345937
0.63109.4352973813940.362376987182328
0.64109.5049126720010.363484858878852
0.65109.5754786215140.366225433065728
0.66109.6473093527510.370731876194393
0.67109.7207001207250.376898985314799
0.68109.7958643364640.384171072429005
0.69109.8728636297870.391642026599802
0.7109.9515427947570.398053114763619
0.71110.031484320450.40172796365147
0.72110.1119973641980.401219452122414
0.73110.1921526370280.395185010161956
0.74110.270867733630.383008019733654
0.75110.3470379629940.364698902381239
0.76110.4196976161080.341254460845961
0.77110.4881881717870.314364090492274
0.78110.5523053171760.286445960945446
0.79110.61239717880.260548452728585
0.8110.6693920216550.23949334439988
0.81110.724743960790.226079248344367
0.82110.7802982452220.221975082017639
0.83110.8380914244330.227409127012767
0.84110.900114337190.241102102842022
0.85110.9680759788360.260421424805098
0.86111.0432134780960.282216236992633
0.87111.1261995967490.303409583662334
0.88111.2172117965110.321264936706549
0.89111.3162626761040.334293646211221
0.9111.4239733200790.342933596485046
0.91111.5430986886940.350898023246346
0.92111.6811837963960.368525346618686
0.93111.8544156565230.417980510547017
0.94112.0914922798210.535030913871509
0.95112.4338370692140.749759107503015
0.96112.9256595165431.04576098600861
0.97113.587043449321.32343148634241
0.98114.3696824382171.42215406974522
0.99115.1150759227881.28285293195596


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')