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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 17:38:08 +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/t1444408751xrqjg6iq8jdyaem.htm/, Retrieved Tue, 14 May 2024 11:43:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281969, Retrieved Tue, 14 May 2024 11:43:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact53

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 16:38:08] [047b71d569822bc9ea0d1a14ab5e311b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
72,04
72,26
72,53
72,41
72,91
72,84
72,92
73,03
72,98
72,99
73,15
73,34
73,8
74,46
74,54
74,92
74,19
74,34
74,54
74,4
73,78
74,42
73,54
74,45
76,31
76,44
76,64
76,44
76,49
76,52
78,15
78,54
78,79
78,75
78,28
78,44
78,75
80,54
80,84
81,11
80,47
80,53
80,35
80,29
80,27
80,1
79,8
79,84
79,92
80,26
80,69
84,5
85,45
86,19
86,4
85,98
85,87
86,06
86,43
86,43
86,37
86,84
86,73
90,99
92,61
93,83
94,2
94,01
93,47
93,27
94,3
94,53
94,59
94,69
94,67
96,55
97,14
97,32
97,97
98,49
99,11
99,09
98,76
99,2
99,61
99,54
99,68
100,75
100,38
100,79
100,39
100,39
100,12
100
99,17
99,17
99,59
99,96
99,68
101,03
100,99
101,38
101,84
101,52
101,37
101,22
101,45
101,99

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'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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281969&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281969&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281969&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0172.16583058078060.201054861818309
0.0272.3461745233390.217371554366681
0.0372.5187900265590.237552656709978
0.0472.67028188767040.227834296187384
0.0572.79685944860020.199351638739957
0.0672.90147181842370.184710848947645
0.0772.99531108955570.205812158962129
0.0873.09234249979880.258496771493099
0.0973.20311665897040.326121879753271
0.173.33193165034080.392098371051967
0.1173.47722018162750.444142913873765
0.1273.63370504801770.476537352293487
0.1373.79509444026410.49077688986086
0.1473.9565285790820.494736721299089
0.1574.11627591734670.501453685502698
0.1674.27637253566330.525883835715185
0.1774.4421127197380.578928387407634
0.1874.62057740592820.662710701989843
0.1974.81867278685530.770262907455531
0.275.0413117403390.888459197953825
0.2175.29029727933641.00352333073064
0.2275.56416955031451.10408900721418
0.2375.85889482386361.18381436639774
0.2476.16899218605471.2406711241668
0.2576.48863126852721.27657077601621
0.2676.81238263681721.29413985674228
0.2777.13554438303671.29545893263012
0.2877.45416380974911.28195125025237
0.2977.76494186092551.25499911211342
0.378.06516109711891.2164859288657
0.3178.35268666178241.16896598363911
0.3278.62602573023481.11526010326022
0.3378.88442277648611.0588957163967
0.3479.12799527839851.00353628573143
0.3579.35793485390570.95396125726869
0.3679.57678169691170.916723243622057
0.3779.78872525478640.900872704508758
0.3879.99981801505830.916907293048433
0.3980.21794853557180.975832100818654
0.480.4524325568611.08404908975557
0.4180.71315586963941.2414060239955
0.4281.00932636015371.4397649519688
0.4381.34803363724821.66413074572173
0.4481.73292987476071.89341749150072
0.4582.16339123338512.10538155899803
0.4682.63446447388092.27972673972477
0.4783.13774357477362.40266437409071
0.4883.66308629255672.4705528233446
0.4984.20083203028452.49144015635226
0.584.74399677117312.48441384123394
0.5185.28986532149692.47544074869474
0.5285.84050883616752.49169382118151
0.5386.40201114203492.55249001649351
0.5486.98252776026082.66312971797768
0.5587.5896328136132.81136556891204
0.5688.22763322390422.97187540531336
0.5788.89557429301173.1123279525147
0.5889.58650262784973.20172048679997
0.5990.28822779739943.21745289415309
0.690.98542180476963.15105874768617
0.6191.66253141949173.00871275142352
0.6292.30675982768152.81068250939659
0.6392.91036423892482.58631619021105
0.6493.47171381725652.36788723947051
0.6593.99489375726692.18296088325034
0.6694.48802345149832.04838891434666
0.6794.96077193125881.96619322435017
0.6895.42172246671721.9242703103002
0.6995.87622818156431.90096850530017
0.796.32522995647371.87262692096423
0.7196.76523440458341.81975725667206
0.7297.18935138435061.730265260437
0.7397.58904462073591.60176812654365
0.7497.95611308679031.44034575585564
0.7598.28441983094371.25843948201109
0.7698.57100686343031.0713161720429
0.7798.81643521282530.894014450897979
0.7899.02440473087980.738659427246204
0.7999.20087456246250.612332296078641
0.899.35297842631920.517872785409515
0.8199.48800126436540.453304138701187
0.8299.61258725510840.414095038515434
0.8399.73223918286660.393944160493686
0.8499.85109363544670.386515624654853
0.8599.97192704395030.385852854691711
0.86100.0963372064740.387541738263176
0.87100.2250209966240.388699033937442
0.88100.3580354533910.387931140246863
0.89100.4949304842160.38410071808813
0.9100.6347065094780.375689313315989
0.91100.7756429414740.36089675446921
0.92100.9151146142960.33791375539474
0.93101.0496412109590.305480529418403
0.94101.1757731142280.263849871854853
0.95101.2928066540990.218500557329092
0.96101.4074770583510.185750854066235
0.97101.5366306795840.189511208436283
0.98101.6972204871410.217138274293936
0.99101.8741837169240.199405853714933

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 72.1658305807806 & 0.201054861818309 \tabularnewline
0.02 & 72.346174523339 & 0.217371554366681 \tabularnewline
0.03 & 72.518790026559 & 0.237552656709978 \tabularnewline
0.04 & 72.6702818876704 & 0.227834296187384 \tabularnewline
0.05 & 72.7968594486002 & 0.199351638739957 \tabularnewline
0.06 & 72.9014718184237 & 0.184710848947645 \tabularnewline
0.07 & 72.9953110895557 & 0.205812158962129 \tabularnewline
0.08 & 73.0923424997988 & 0.258496771493099 \tabularnewline
0.09 & 73.2031166589704 & 0.326121879753271 \tabularnewline
0.1 & 73.3319316503408 & 0.392098371051967 \tabularnewline
0.11 & 73.4772201816275 & 0.444142913873765 \tabularnewline
0.12 & 73.6337050480177 & 0.476537352293487 \tabularnewline
0.13 & 73.7950944402641 & 0.49077688986086 \tabularnewline
0.14 & 73.956528579082 & 0.494736721299089 \tabularnewline
0.15 & 74.1162759173467 & 0.501453685502698 \tabularnewline
0.16 & 74.2763725356633 & 0.525883835715185 \tabularnewline
0.17 & 74.442112719738 & 0.578928387407634 \tabularnewline
0.18 & 74.6205774059282 & 0.662710701989843 \tabularnewline
0.19 & 74.8186727868553 & 0.770262907455531 \tabularnewline
0.2 & 75.041311740339 & 0.888459197953825 \tabularnewline
0.21 & 75.2902972793364 & 1.00352333073064 \tabularnewline
0.22 & 75.5641695503145 & 1.10408900721418 \tabularnewline
0.23 & 75.8588948238636 & 1.18381436639774 \tabularnewline
0.24 & 76.1689921860547 & 1.2406711241668 \tabularnewline
0.25 & 76.4886312685272 & 1.27657077601621 \tabularnewline
0.26 & 76.8123826368172 & 1.29413985674228 \tabularnewline
0.27 & 77.1355443830367 & 1.29545893263012 \tabularnewline
0.28 & 77.4541638097491 & 1.28195125025237 \tabularnewline
0.29 & 77.7649418609255 & 1.25499911211342 \tabularnewline
0.3 & 78.0651610971189 & 1.2164859288657 \tabularnewline
0.31 & 78.3526866617824 & 1.16896598363911 \tabularnewline
0.32 & 78.6260257302348 & 1.11526010326022 \tabularnewline
0.33 & 78.8844227764861 & 1.0588957163967 \tabularnewline
0.34 & 79.1279952783985 & 1.00353628573143 \tabularnewline
0.35 & 79.3579348539057 & 0.95396125726869 \tabularnewline
0.36 & 79.5767816969117 & 0.916723243622057 \tabularnewline
0.37 & 79.7887252547864 & 0.900872704508758 \tabularnewline
0.38 & 79.9998180150583 & 0.916907293048433 \tabularnewline
0.39 & 80.2179485355718 & 0.975832100818654 \tabularnewline
0.4 & 80.452432556861 & 1.08404908975557 \tabularnewline
0.41 & 80.7131558696394 & 1.2414060239955 \tabularnewline
0.42 & 81.0093263601537 & 1.4397649519688 \tabularnewline
0.43 & 81.3480336372482 & 1.66413074572173 \tabularnewline
0.44 & 81.7329298747607 & 1.89341749150072 \tabularnewline
0.45 & 82.1633912333851 & 2.10538155899803 \tabularnewline
0.46 & 82.6344644738809 & 2.27972673972477 \tabularnewline
0.47 & 83.1377435747736 & 2.40266437409071 \tabularnewline
0.48 & 83.6630862925567 & 2.4705528233446 \tabularnewline
0.49 & 84.2008320302845 & 2.49144015635226 \tabularnewline
0.5 & 84.7439967711731 & 2.48441384123394 \tabularnewline
0.51 & 85.2898653214969 & 2.47544074869474 \tabularnewline
0.52 & 85.8405088361675 & 2.49169382118151 \tabularnewline
0.53 & 86.4020111420349 & 2.55249001649351 \tabularnewline
0.54 & 86.9825277602608 & 2.66312971797768 \tabularnewline
0.55 & 87.589632813613 & 2.81136556891204 \tabularnewline
0.56 & 88.2276332239042 & 2.97187540531336 \tabularnewline
0.57 & 88.8955742930117 & 3.1123279525147 \tabularnewline
0.58 & 89.5865026278497 & 3.20172048679997 \tabularnewline
0.59 & 90.2882277973994 & 3.21745289415309 \tabularnewline
0.6 & 90.9854218047696 & 3.15105874768617 \tabularnewline
0.61 & 91.6625314194917 & 3.00871275142352 \tabularnewline
0.62 & 92.3067598276815 & 2.81068250939659 \tabularnewline
0.63 & 92.9103642389248 & 2.58631619021105 \tabularnewline
0.64 & 93.4717138172565 & 2.36788723947051 \tabularnewline
0.65 & 93.9948937572669 & 2.18296088325034 \tabularnewline
0.66 & 94.4880234514983 & 2.04838891434666 \tabularnewline
0.67 & 94.9607719312588 & 1.96619322435017 \tabularnewline
0.68 & 95.4217224667172 & 1.9242703103002 \tabularnewline
0.69 & 95.8762281815643 & 1.90096850530017 \tabularnewline
0.7 & 96.3252299564737 & 1.87262692096423 \tabularnewline
0.71 & 96.7652344045834 & 1.81975725667206 \tabularnewline
0.72 & 97.1893513843506 & 1.730265260437 \tabularnewline
0.73 & 97.5890446207359 & 1.60176812654365 \tabularnewline
0.74 & 97.9561130867903 & 1.44034575585564 \tabularnewline
0.75 & 98.2844198309437 & 1.25843948201109 \tabularnewline
0.76 & 98.5710068634303 & 1.0713161720429 \tabularnewline
0.77 & 98.8164352128253 & 0.894014450897979 \tabularnewline
0.78 & 99.0244047308798 & 0.738659427246204 \tabularnewline
0.79 & 99.2008745624625 & 0.612332296078641 \tabularnewline
0.8 & 99.3529784263192 & 0.517872785409515 \tabularnewline
0.81 & 99.4880012643654 & 0.453304138701187 \tabularnewline
0.82 & 99.6125872551084 & 0.414095038515434 \tabularnewline
0.83 & 99.7322391828666 & 0.393944160493686 \tabularnewline
0.84 & 99.8510936354467 & 0.386515624654853 \tabularnewline
0.85 & 99.9719270439503 & 0.385852854691711 \tabularnewline
0.86 & 100.096337206474 & 0.387541738263176 \tabularnewline
0.87 & 100.225020996624 & 0.388699033937442 \tabularnewline
0.88 & 100.358035453391 & 0.387931140246863 \tabularnewline
0.89 & 100.494930484216 & 0.38410071808813 \tabularnewline
0.9 & 100.634706509478 & 0.375689313315989 \tabularnewline
0.91 & 100.775642941474 & 0.36089675446921 \tabularnewline
0.92 & 100.915114614296 & 0.33791375539474 \tabularnewline
0.93 & 101.049641210959 & 0.305480529418403 \tabularnewline
0.94 & 101.175773114228 & 0.263849871854853 \tabularnewline
0.95 & 101.292806654099 & 0.218500557329092 \tabularnewline
0.96 & 101.407477058351 & 0.185750854066235 \tabularnewline
0.97 & 101.536630679584 & 0.189511208436283 \tabularnewline
0.98 & 101.697220487141 & 0.217138274293936 \tabularnewline
0.99 & 101.874183716924 & 0.199405853714933 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281969&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]72.1658305807806[/C][C]0.201054861818309[/C][/ROW]
[ROW][C]0.02[/C][C]72.346174523339[/C][C]0.217371554366681[/C][/ROW]
[ROW][C]0.03[/C][C]72.518790026559[/C][C]0.237552656709978[/C][/ROW]
[ROW][C]0.04[/C][C]72.6702818876704[/C][C]0.227834296187384[/C][/ROW]
[ROW][C]0.05[/C][C]72.7968594486002[/C][C]0.199351638739957[/C][/ROW]
[ROW][C]0.06[/C][C]72.9014718184237[/C][C]0.184710848947645[/C][/ROW]
[ROW][C]0.07[/C][C]72.9953110895557[/C][C]0.205812158962129[/C][/ROW]
[ROW][C]0.08[/C][C]73.0923424997988[/C][C]0.258496771493099[/C][/ROW]
[ROW][C]0.09[/C][C]73.2031166589704[/C][C]0.326121879753271[/C][/ROW]
[ROW][C]0.1[/C][C]73.3319316503408[/C][C]0.392098371051967[/C][/ROW]
[ROW][C]0.11[/C][C]73.4772201816275[/C][C]0.444142913873765[/C][/ROW]
[ROW][C]0.12[/C][C]73.6337050480177[/C][C]0.476537352293487[/C][/ROW]
[ROW][C]0.13[/C][C]73.7950944402641[/C][C]0.49077688986086[/C][/ROW]
[ROW][C]0.14[/C][C]73.956528579082[/C][C]0.494736721299089[/C][/ROW]
[ROW][C]0.15[/C][C]74.1162759173467[/C][C]0.501453685502698[/C][/ROW]
[ROW][C]0.16[/C][C]74.2763725356633[/C][C]0.525883835715185[/C][/ROW]
[ROW][C]0.17[/C][C]74.442112719738[/C][C]0.578928387407634[/C][/ROW]
[ROW][C]0.18[/C][C]74.6205774059282[/C][C]0.662710701989843[/C][/ROW]
[ROW][C]0.19[/C][C]74.8186727868553[/C][C]0.770262907455531[/C][/ROW]
[ROW][C]0.2[/C][C]75.041311740339[/C][C]0.888459197953825[/C][/ROW]
[ROW][C]0.21[/C][C]75.2902972793364[/C][C]1.00352333073064[/C][/ROW]
[ROW][C]0.22[/C][C]75.5641695503145[/C][C]1.10408900721418[/C][/ROW]
[ROW][C]0.23[/C][C]75.8588948238636[/C][C]1.18381436639774[/C][/ROW]
[ROW][C]0.24[/C][C]76.1689921860547[/C][C]1.2406711241668[/C][/ROW]
[ROW][C]0.25[/C][C]76.4886312685272[/C][C]1.27657077601621[/C][/ROW]
[ROW][C]0.26[/C][C]76.8123826368172[/C][C]1.29413985674228[/C][/ROW]
[ROW][C]0.27[/C][C]77.1355443830367[/C][C]1.29545893263012[/C][/ROW]
[ROW][C]0.28[/C][C]77.4541638097491[/C][C]1.28195125025237[/C][/ROW]
[ROW][C]0.29[/C][C]77.7649418609255[/C][C]1.25499911211342[/C][/ROW]
[ROW][C]0.3[/C][C]78.0651610971189[/C][C]1.2164859288657[/C][/ROW]
[ROW][C]0.31[/C][C]78.3526866617824[/C][C]1.16896598363911[/C][/ROW]
[ROW][C]0.32[/C][C]78.6260257302348[/C][C]1.11526010326022[/C][/ROW]
[ROW][C]0.33[/C][C]78.8844227764861[/C][C]1.0588957163967[/C][/ROW]
[ROW][C]0.34[/C][C]79.1279952783985[/C][C]1.00353628573143[/C][/ROW]
[ROW][C]0.35[/C][C]79.3579348539057[/C][C]0.95396125726869[/C][/ROW]
[ROW][C]0.36[/C][C]79.5767816969117[/C][C]0.916723243622057[/C][/ROW]
[ROW][C]0.37[/C][C]79.7887252547864[/C][C]0.900872704508758[/C][/ROW]
[ROW][C]0.38[/C][C]79.9998180150583[/C][C]0.916907293048433[/C][/ROW]
[ROW][C]0.39[/C][C]80.2179485355718[/C][C]0.975832100818654[/C][/ROW]
[ROW][C]0.4[/C][C]80.452432556861[/C][C]1.08404908975557[/C][/ROW]
[ROW][C]0.41[/C][C]80.7131558696394[/C][C]1.2414060239955[/C][/ROW]
[ROW][C]0.42[/C][C]81.0093263601537[/C][C]1.4397649519688[/C][/ROW]
[ROW][C]0.43[/C][C]81.3480336372482[/C][C]1.66413074572173[/C][/ROW]
[ROW][C]0.44[/C][C]81.7329298747607[/C][C]1.89341749150072[/C][/ROW]
[ROW][C]0.45[/C][C]82.1633912333851[/C][C]2.10538155899803[/C][/ROW]
[ROW][C]0.46[/C][C]82.6344644738809[/C][C]2.27972673972477[/C][/ROW]
[ROW][C]0.47[/C][C]83.1377435747736[/C][C]2.40266437409071[/C][/ROW]
[ROW][C]0.48[/C][C]83.6630862925567[/C][C]2.4705528233446[/C][/ROW]
[ROW][C]0.49[/C][C]84.2008320302845[/C][C]2.49144015635226[/C][/ROW]
[ROW][C]0.5[/C][C]84.7439967711731[/C][C]2.48441384123394[/C][/ROW]
[ROW][C]0.51[/C][C]85.2898653214969[/C][C]2.47544074869474[/C][/ROW]
[ROW][C]0.52[/C][C]85.8405088361675[/C][C]2.49169382118151[/C][/ROW]
[ROW][C]0.53[/C][C]86.4020111420349[/C][C]2.55249001649351[/C][/ROW]
[ROW][C]0.54[/C][C]86.9825277602608[/C][C]2.66312971797768[/C][/ROW]
[ROW][C]0.55[/C][C]87.589632813613[/C][C]2.81136556891204[/C][/ROW]
[ROW][C]0.56[/C][C]88.2276332239042[/C][C]2.97187540531336[/C][/ROW]
[ROW][C]0.57[/C][C]88.8955742930117[/C][C]3.1123279525147[/C][/ROW]
[ROW][C]0.58[/C][C]89.5865026278497[/C][C]3.20172048679997[/C][/ROW]
[ROW][C]0.59[/C][C]90.2882277973994[/C][C]3.21745289415309[/C][/ROW]
[ROW][C]0.6[/C][C]90.9854218047696[/C][C]3.15105874768617[/C][/ROW]
[ROW][C]0.61[/C][C]91.6625314194917[/C][C]3.00871275142352[/C][/ROW]
[ROW][C]0.62[/C][C]92.3067598276815[/C][C]2.81068250939659[/C][/ROW]
[ROW][C]0.63[/C][C]92.9103642389248[/C][C]2.58631619021105[/C][/ROW]
[ROW][C]0.64[/C][C]93.4717138172565[/C][C]2.36788723947051[/C][/ROW]
[ROW][C]0.65[/C][C]93.9948937572669[/C][C]2.18296088325034[/C][/ROW]
[ROW][C]0.66[/C][C]94.4880234514983[/C][C]2.04838891434666[/C][/ROW]
[ROW][C]0.67[/C][C]94.9607719312588[/C][C]1.96619322435017[/C][/ROW]
[ROW][C]0.68[/C][C]95.4217224667172[/C][C]1.9242703103002[/C][/ROW]
[ROW][C]0.69[/C][C]95.8762281815643[/C][C]1.90096850530017[/C][/ROW]
[ROW][C]0.7[/C][C]96.3252299564737[/C][C]1.87262692096423[/C][/ROW]
[ROW][C]0.71[/C][C]96.7652344045834[/C][C]1.81975725667206[/C][/ROW]
[ROW][C]0.72[/C][C]97.1893513843506[/C][C]1.730265260437[/C][/ROW]
[ROW][C]0.73[/C][C]97.5890446207359[/C][C]1.60176812654365[/C][/ROW]
[ROW][C]0.74[/C][C]97.9561130867903[/C][C]1.44034575585564[/C][/ROW]
[ROW][C]0.75[/C][C]98.2844198309437[/C][C]1.25843948201109[/C][/ROW]
[ROW][C]0.76[/C][C]98.5710068634303[/C][C]1.0713161720429[/C][/ROW]
[ROW][C]0.77[/C][C]98.8164352128253[/C][C]0.894014450897979[/C][/ROW]
[ROW][C]0.78[/C][C]99.0244047308798[/C][C]0.738659427246204[/C][/ROW]
[ROW][C]0.79[/C][C]99.2008745624625[/C][C]0.612332296078641[/C][/ROW]
[ROW][C]0.8[/C][C]99.3529784263192[/C][C]0.517872785409515[/C][/ROW]
[ROW][C]0.81[/C][C]99.4880012643654[/C][C]0.453304138701187[/C][/ROW]
[ROW][C]0.82[/C][C]99.6125872551084[/C][C]0.414095038515434[/C][/ROW]
[ROW][C]0.83[/C][C]99.7322391828666[/C][C]0.393944160493686[/C][/ROW]
[ROW][C]0.84[/C][C]99.8510936354467[/C][C]0.386515624654853[/C][/ROW]
[ROW][C]0.85[/C][C]99.9719270439503[/C][C]0.385852854691711[/C][/ROW]
[ROW][C]0.86[/C][C]100.096337206474[/C][C]0.387541738263176[/C][/ROW]
[ROW][C]0.87[/C][C]100.225020996624[/C][C]0.388699033937442[/C][/ROW]
[ROW][C]0.88[/C][C]100.358035453391[/C][C]0.387931140246863[/C][/ROW]
[ROW][C]0.89[/C][C]100.494930484216[/C][C]0.38410071808813[/C][/ROW]
[ROW][C]0.9[/C][C]100.634706509478[/C][C]0.375689313315989[/C][/ROW]
[ROW][C]0.91[/C][C]100.775642941474[/C][C]0.36089675446921[/C][/ROW]
[ROW][C]0.92[/C][C]100.915114614296[/C][C]0.33791375539474[/C][/ROW]
[ROW][C]0.93[/C][C]101.049641210959[/C][C]0.305480529418403[/C][/ROW]
[ROW][C]0.94[/C][C]101.175773114228[/C][C]0.263849871854853[/C][/ROW]
[ROW][C]0.95[/C][C]101.292806654099[/C][C]0.218500557329092[/C][/ROW]
[ROW][C]0.96[/C][C]101.407477058351[/C][C]0.185750854066235[/C][/ROW]
[ROW][C]0.97[/C][C]101.536630679584[/C][C]0.189511208436283[/C][/ROW]
[ROW][C]0.98[/C][C]101.697220487141[/C][C]0.217138274293936[/C][/ROW]
[ROW][C]0.99[/C][C]101.874183716924[/C][C]0.199405853714933[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281969&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281969&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
0.0172.16583058078060.201054861818309
0.0272.3461745233390.217371554366681
0.0372.5187900265590.237552656709978
0.0472.67028188767040.227834296187384
0.0572.79685944860020.199351638739957
0.0672.90147181842370.184710848947645
0.0772.99531108955570.205812158962129
0.0873.09234249979880.258496771493099
0.0973.20311665897040.326121879753271
0.173.33193165034080.392098371051967
0.1173.47722018162750.444142913873765
0.1273.63370504801770.476537352293487
0.1373.79509444026410.49077688986086
0.1473.9565285790820.494736721299089
0.1574.11627591734670.501453685502698
0.1674.27637253566330.525883835715185
0.1774.4421127197380.578928387407634
0.1874.62057740592820.662710701989843
0.1974.81867278685530.770262907455531
0.275.0413117403390.888459197953825
0.2175.29029727933641.00352333073064
0.2275.56416955031451.10408900721418
0.2375.85889482386361.18381436639774
0.2476.16899218605471.2406711241668
0.2576.48863126852721.27657077601621
0.2676.81238263681721.29413985674228
0.2777.13554438303671.29545893263012
0.2877.45416380974911.28195125025237
0.2977.76494186092551.25499911211342
0.378.06516109711891.2164859288657
0.3178.35268666178241.16896598363911
0.3278.62602573023481.11526010326022
0.3378.88442277648611.0588957163967
0.3479.12799527839851.00353628573143
0.3579.35793485390570.95396125726869
0.3679.57678169691170.916723243622057
0.3779.78872525478640.900872704508758
0.3879.99981801505830.916907293048433
0.3980.21794853557180.975832100818654
0.480.4524325568611.08404908975557
0.4180.71315586963941.2414060239955
0.4281.00932636015371.4397649519688
0.4381.34803363724821.66413074572173
0.4481.73292987476071.89341749150072
0.4582.16339123338512.10538155899803
0.4682.63446447388092.27972673972477
0.4783.13774357477362.40266437409071
0.4883.66308629255672.4705528233446
0.4984.20083203028452.49144015635226
0.584.74399677117312.48441384123394
0.5185.28986532149692.47544074869474
0.5285.84050883616752.49169382118151
0.5386.40201114203492.55249001649351
0.5486.98252776026082.66312971797768
0.5587.5896328136132.81136556891204
0.5688.22763322390422.97187540531336
0.5788.89557429301173.1123279525147
0.5889.58650262784973.20172048679997
0.5990.28822779739943.21745289415309
0.690.98542180476963.15105874768617
0.6191.66253141949173.00871275142352
0.6292.30675982768152.81068250939659
0.6392.91036423892482.58631619021105
0.6493.47171381725652.36788723947051
0.6593.99489375726692.18296088325034
0.6694.48802345149832.04838891434666
0.6794.96077193125881.96619322435017
0.6895.42172246671721.9242703103002
0.6995.87622818156431.90096850530017
0.796.32522995647371.87262692096423
0.7196.76523440458341.81975725667206
0.7297.18935138435061.730265260437
0.7397.58904462073591.60176812654365
0.7497.95611308679031.44034575585564
0.7598.28441983094371.25843948201109
0.7698.57100686343031.0713161720429
0.7798.81643521282530.894014450897979
0.7899.02440473087980.738659427246204
0.7999.20087456246250.612332296078641
0.899.35297842631920.517872785409515
0.8199.48800126436540.453304138701187
0.8299.61258725510840.414095038515434
0.8399.73223918286660.393944160493686
0.8499.85109363544670.386515624654853
0.8599.97192704395030.385852854691711
0.86100.0963372064740.387541738263176
0.87100.2250209966240.388699033937442
0.88100.3580354533910.387931140246863
0.89100.4949304842160.38410071808813
0.9100.6347065094780.375689313315989
0.91100.7756429414740.36089675446921
0.92100.9151146142960.33791375539474
0.93101.0496412109590.305480529418403
0.94101.1757731142280.263849871854853
0.95101.2928066540990.218500557329092
0.96101.4074770583510.185750854066235
0.97101.5366306795840.189511208436283
0.98101.6972204871410.217138274293936
0.99101.8741837169240.199405853714933


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')