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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 19 Oct 2008 06:01:33 -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/2008/Oct/19/t1224417753jpbar8xrbtqvpo9.htm/, Retrieved Sun, 19 May 2024 16:28:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16784, Retrieved Sun, 19 May 2024 16:28:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact176

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Q7 95% confidence...] [2007-10-20 15:02:46] [b731da8b544846036771bbf9bf2f34ce]
F   PD    [Harrell-Davis Quantiles] [Task 1 - Q7 - 95%...] [2008-10-19 12:01:33] [dafd615cb3e0decc017580d68ecea30a] [Current]
-   P       [Harrell-Davis Quantiles] [Investigating Ass...] [2008-10-27 08:12:38] [33f4701c7363e8b81858dafbf0350eed]
Feedback Forum
2008-10-24 15:40:16 [Bob Leysen] [reply] 
Grafiek is niet correct. Deze moet beginnen met 0,025 en niet 0,01
2008-10-26 13:09:41 [Stijn Van de Velde] [reply] 
De student legt het wel goed uit, maar de berekening klopt niet.

De laagste quantile moest hier 2.5% (0,025) zijn, en de hoogste 97.5% (0,975). Daarnaast moet de step size 0,005 zijn en niet 0,01.

Enkel op de manier kan je tot een 95% interval komen.
2008-10-27 08:15:29 [Jeroen Michel] [reply] 
Ook hier is er een fout geslopen bij het instellen van de parameters. De opmerkingen van de voorgaande student zijn dus volledig terecht en kan hier dus niets meer aan toevoegen. Hieronder vind u de herberekening met de juiste ingestelde parameters.
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Oct/27/t122509520502srwhjqo1kmdmk.htm , Retrieved Mon, 27 Oct 2008 08:13:28 +0000

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
110.40
96.40
101.90
106.20
81.00
94.70
101.00
109.40
102.30
90.70
96.20
96.10
106.00
103.10
102.00
104.70
86.00
92.10
106.90
112.60
101.70
92.00
97.40
97.00
105.40
102.70
98.10
104.50
87.40
89.90
109.80
111.70
98.60
96.90
95.10
97.00
112.70
102.90
97.40
111.40
87.40
96.80
114.10
110.30
103.90
101.60
94.60
95.90
104.70
102.80
98.10
113.90
80.90
95.70
113.20
105.90
108.80
102.30
99.00
100.70
115.50

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=16784&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=16784&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16784&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
0.0181.25329680904381.11779486645604
0.0282.01006573354722.24893406006270
0.0383.08679671910672.90248632098292
0.0484.3097246748113.01306443451468
0.0585.51916199259832.81929371038251
0.0686.62446430306392.58088039100784
0.0787.60310768011282.43182921759067
0.0888.47230263075412.37910337912327
0.0989.26058547573232.37440618168912
0.189.99141564358462.37418160585810
0.1190.67832864172662.35550436368601
0.1291.32649382696752.31072816399791
0.1391.9361048360562.23917319869181
0.1492.50524900202662.14255204195681
0.1593.03167408357762.02327291086989
0.1693.51369204388151.88516340753100
0.1793.9506009133821.73385345376238
0.1894.34286944531071.57637388638096
0.1994.69217676022221.42006540242905
0.295.00132410074661.27198204922879
0.2195.27403024542751.13767732646087
0.2295.51464547615181.02078077295073
0.2395.72783808227240.923105464131225
0.2495.91830854785420.84475071575234
0.2596.09057167959980.785073626549223
0.2696.24882465966360.742779105897026
0.2796.39689782824510.716473770504703
0.2896.53826996773640.705222756435214
0.2996.67612238524060.708321371852601
0.396.8134051839340.725863145593432
0.3196.95289279824480.757631267035342
0.3297.0972121460330.803733370396387
0.3397.2488340472450.863457010343252
0.3497.41002579897050.935974865502641
0.3597.5827693220771.01928040224009
0.3697.76865472461441.11066829961975
0.3797.96876322968161.20676723042785
0.3898.1835559989161.30352987709458
0.3998.41278623643781.39609462111666
0.498.655450860861.4799064365811
0.4198.9097948376061.55019328884897
0.4299.17337603087981.60276267595641
0.4399.4431915603761.63468311095571
0.4499.71585891918321.64395964084749
0.4599.98783763817411.63014570022074
0.46100.2556713123761.59454451451388
0.47100.5162264363251.53957734478817
0.48100.7669044056441.46940746580755
0.49101.0058062949071.38874726029972
0.5101.2318360290211.30308488044260
0.51101.4447352202561.21782368482867
0.52101.6450508883941.13804566234769
0.53101.8340442347561.06817998580570
0.54102.0135536798861.01178394562194
0.55102.1858281053760.970945191884134
0.56102.3533468051970.946911565615199
0.57102.5186415892410.939086954786012
0.58102.6841344921140.946079715310816
0.59102.8520022386930.965400807906307
0.6103.0240763527630.994073412489012
0.61103.2017855815981.02900294052284
0.62103.3861448904921.06697877893132
0.63103.5777922815831.10559942813071
0.64103.777070806531.14295643530945
0.65103.9841483051311.17812290404484
0.66104.1991618814471.21123633488894
0.67104.4223685589341.24338367631189
0.68104.6542788995931.27644399660694
0.69104.8957478412931.31309967036887
0.7105.1479979277841.35610783414605
0.71105.4125556916721.40751652046409
0.72105.6910929450901.46830742253326
0.73105.9851809211911.53768850677247
0.74106.2959849044251.61238509713008
0.75106.6239467151891.68749005542132
0.76106.9685171005061.75621859628113
0.77107.3280039817711.81132911513608
0.78107.6995908989411.84592663831734
0.79108.0795512761751.85530973026851
0.8108.4636416800831.83726345527739
0.81108.8476100139631.79320419879650
0.82109.2277159043181.72790750096100
0.83109.6011447177651.64828567722956
0.84109.9662142040041.56232945155633
0.85110.3223253398291.47700809302812
0.86110.6696857910001.39662655095835
0.87111.008912069991.32196651580087
0.88111.3406635434961.25099649046379
0.89111.6654500531491.18035165482768
0.9111.9836800237171.10775542432169
0.91112.2959193163061.03333561420229
0.92112.6033129657830.959486188955129
0.93112.9082946579790.888979132535383
0.94113.2160152004670.823188525122694
0.95113.5367872090820.764610781609778
0.96113.8879736349470.729722297906245
0.97114.2892077347770.765052532081604
0.98114.7410791519510.92087418761529
0.99115.1874515095041.16727894055484

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 81.2532968090438 & 1.11779486645604 \tabularnewline
0.02 & 82.0100657335472 & 2.24893406006270 \tabularnewline
0.03 & 83.0867967191067 & 2.90248632098292 \tabularnewline
0.04 & 84.309724674811 & 3.01306443451468 \tabularnewline
0.05 & 85.5191619925983 & 2.81929371038251 \tabularnewline
0.06 & 86.6244643030639 & 2.58088039100784 \tabularnewline
0.07 & 87.6031076801128 & 2.43182921759067 \tabularnewline
0.08 & 88.4723026307541 & 2.37910337912327 \tabularnewline
0.09 & 89.2605854757323 & 2.37440618168912 \tabularnewline
0.1 & 89.9914156435846 & 2.37418160585810 \tabularnewline
0.11 & 90.6783286417266 & 2.35550436368601 \tabularnewline
0.12 & 91.3264938269675 & 2.31072816399791 \tabularnewline
0.13 & 91.936104836056 & 2.23917319869181 \tabularnewline
0.14 & 92.5052490020266 & 2.14255204195681 \tabularnewline
0.15 & 93.0316740835776 & 2.02327291086989 \tabularnewline
0.16 & 93.5136920438815 & 1.88516340753100 \tabularnewline
0.17 & 93.950600913382 & 1.73385345376238 \tabularnewline
0.18 & 94.3428694453107 & 1.57637388638096 \tabularnewline
0.19 & 94.6921767602222 & 1.42006540242905 \tabularnewline
0.2 & 95.0013241007466 & 1.27198204922879 \tabularnewline
0.21 & 95.2740302454275 & 1.13767732646087 \tabularnewline
0.22 & 95.5146454761518 & 1.02078077295073 \tabularnewline
0.23 & 95.7278380822724 & 0.923105464131225 \tabularnewline
0.24 & 95.9183085478542 & 0.84475071575234 \tabularnewline
0.25 & 96.0905716795998 & 0.785073626549223 \tabularnewline
0.26 & 96.2488246596636 & 0.742779105897026 \tabularnewline
0.27 & 96.3968978282451 & 0.716473770504703 \tabularnewline
0.28 & 96.5382699677364 & 0.705222756435214 \tabularnewline
0.29 & 96.6761223852406 & 0.708321371852601 \tabularnewline
0.3 & 96.813405183934 & 0.725863145593432 \tabularnewline
0.31 & 96.9528927982448 & 0.757631267035342 \tabularnewline
0.32 & 97.097212146033 & 0.803733370396387 \tabularnewline
0.33 & 97.248834047245 & 0.863457010343252 \tabularnewline
0.34 & 97.4100257989705 & 0.935974865502641 \tabularnewline
0.35 & 97.582769322077 & 1.01928040224009 \tabularnewline
0.36 & 97.7686547246144 & 1.11066829961975 \tabularnewline
0.37 & 97.9687632296816 & 1.20676723042785 \tabularnewline
0.38 & 98.183555998916 & 1.30352987709458 \tabularnewline
0.39 & 98.4127862364378 & 1.39609462111666 \tabularnewline
0.4 & 98.65545086086 & 1.4799064365811 \tabularnewline
0.41 & 98.909794837606 & 1.55019328884897 \tabularnewline
0.42 & 99.1733760308798 & 1.60276267595641 \tabularnewline
0.43 & 99.443191560376 & 1.63468311095571 \tabularnewline
0.44 & 99.7158589191832 & 1.64395964084749 \tabularnewline
0.45 & 99.9878376381741 & 1.63014570022074 \tabularnewline
0.46 & 100.255671312376 & 1.59454451451388 \tabularnewline
0.47 & 100.516226436325 & 1.53957734478817 \tabularnewline
0.48 & 100.766904405644 & 1.46940746580755 \tabularnewline
0.49 & 101.005806294907 & 1.38874726029972 \tabularnewline
0.5 & 101.231836029021 & 1.30308488044260 \tabularnewline
0.51 & 101.444735220256 & 1.21782368482867 \tabularnewline
0.52 & 101.645050888394 & 1.13804566234769 \tabularnewline
0.53 & 101.834044234756 & 1.06817998580570 \tabularnewline
0.54 & 102.013553679886 & 1.01178394562194 \tabularnewline
0.55 & 102.185828105376 & 0.970945191884134 \tabularnewline
0.56 & 102.353346805197 & 0.946911565615199 \tabularnewline
0.57 & 102.518641589241 & 0.939086954786012 \tabularnewline
0.58 & 102.684134492114 & 0.946079715310816 \tabularnewline
0.59 & 102.852002238693 & 0.965400807906307 \tabularnewline
0.6 & 103.024076352763 & 0.994073412489012 \tabularnewline
0.61 & 103.201785581598 & 1.02900294052284 \tabularnewline
0.62 & 103.386144890492 & 1.06697877893132 \tabularnewline
0.63 & 103.577792281583 & 1.10559942813071 \tabularnewline
0.64 & 103.77707080653 & 1.14295643530945 \tabularnewline
0.65 & 103.984148305131 & 1.17812290404484 \tabularnewline
0.66 & 104.199161881447 & 1.21123633488894 \tabularnewline
0.67 & 104.422368558934 & 1.24338367631189 \tabularnewline
0.68 & 104.654278899593 & 1.27644399660694 \tabularnewline
0.69 & 104.895747841293 & 1.31309967036887 \tabularnewline
0.7 & 105.147997927784 & 1.35610783414605 \tabularnewline
0.71 & 105.412555691672 & 1.40751652046409 \tabularnewline
0.72 & 105.691092945090 & 1.46830742253326 \tabularnewline
0.73 & 105.985180921191 & 1.53768850677247 \tabularnewline
0.74 & 106.295984904425 & 1.61238509713008 \tabularnewline
0.75 & 106.623946715189 & 1.68749005542132 \tabularnewline
0.76 & 106.968517100506 & 1.75621859628113 \tabularnewline
0.77 & 107.328003981771 & 1.81132911513608 \tabularnewline
0.78 & 107.699590898941 & 1.84592663831734 \tabularnewline
0.79 & 108.079551276175 & 1.85530973026851 \tabularnewline
0.8 & 108.463641680083 & 1.83726345527739 \tabularnewline
0.81 & 108.847610013963 & 1.79320419879650 \tabularnewline
0.82 & 109.227715904318 & 1.72790750096100 \tabularnewline
0.83 & 109.601144717765 & 1.64828567722956 \tabularnewline
0.84 & 109.966214204004 & 1.56232945155633 \tabularnewline
0.85 & 110.322325339829 & 1.47700809302812 \tabularnewline
0.86 & 110.669685791000 & 1.39662655095835 \tabularnewline
0.87 & 111.00891206999 & 1.32196651580087 \tabularnewline
0.88 & 111.340663543496 & 1.25099649046379 \tabularnewline
0.89 & 111.665450053149 & 1.18035165482768 \tabularnewline
0.9 & 111.983680023717 & 1.10775542432169 \tabularnewline
0.91 & 112.295919316306 & 1.03333561420229 \tabularnewline
0.92 & 112.603312965783 & 0.959486188955129 \tabularnewline
0.93 & 112.908294657979 & 0.888979132535383 \tabularnewline
0.94 & 113.216015200467 & 0.823188525122694 \tabularnewline
0.95 & 113.536787209082 & 0.764610781609778 \tabularnewline
0.96 & 113.887973634947 & 0.729722297906245 \tabularnewline
0.97 & 114.289207734777 & 0.765052532081604 \tabularnewline
0.98 & 114.741079151951 & 0.92087418761529 \tabularnewline
0.99 & 115.187451509504 & 1.16727894055484 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16784&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]81.2532968090438[/C][C]1.11779486645604[/C][/ROW]
[ROW][C]0.02[/C][C]82.0100657335472[/C][C]2.24893406006270[/C][/ROW]
[ROW][C]0.03[/C][C]83.0867967191067[/C][C]2.90248632098292[/C][/ROW]
[ROW][C]0.04[/C][C]84.309724674811[/C][C]3.01306443451468[/C][/ROW]
[ROW][C]0.05[/C][C]85.5191619925983[/C][C]2.81929371038251[/C][/ROW]
[ROW][C]0.06[/C][C]86.6244643030639[/C][C]2.58088039100784[/C][/ROW]
[ROW][C]0.07[/C][C]87.6031076801128[/C][C]2.43182921759067[/C][/ROW]
[ROW][C]0.08[/C][C]88.4723026307541[/C][C]2.37910337912327[/C][/ROW]
[ROW][C]0.09[/C][C]89.2605854757323[/C][C]2.37440618168912[/C][/ROW]
[ROW][C]0.1[/C][C]89.9914156435846[/C][C]2.37418160585810[/C][/ROW]
[ROW][C]0.11[/C][C]90.6783286417266[/C][C]2.35550436368601[/C][/ROW]
[ROW][C]0.12[/C][C]91.3264938269675[/C][C]2.31072816399791[/C][/ROW]
[ROW][C]0.13[/C][C]91.936104836056[/C][C]2.23917319869181[/C][/ROW]
[ROW][C]0.14[/C][C]92.5052490020266[/C][C]2.14255204195681[/C][/ROW]
[ROW][C]0.15[/C][C]93.0316740835776[/C][C]2.02327291086989[/C][/ROW]
[ROW][C]0.16[/C][C]93.5136920438815[/C][C]1.88516340753100[/C][/ROW]
[ROW][C]0.17[/C][C]93.950600913382[/C][C]1.73385345376238[/C][/ROW]
[ROW][C]0.18[/C][C]94.3428694453107[/C][C]1.57637388638096[/C][/ROW]
[ROW][C]0.19[/C][C]94.6921767602222[/C][C]1.42006540242905[/C][/ROW]
[ROW][C]0.2[/C][C]95.0013241007466[/C][C]1.27198204922879[/C][/ROW]
[ROW][C]0.21[/C][C]95.2740302454275[/C][C]1.13767732646087[/C][/ROW]
[ROW][C]0.22[/C][C]95.5146454761518[/C][C]1.02078077295073[/C][/ROW]
[ROW][C]0.23[/C][C]95.7278380822724[/C][C]0.923105464131225[/C][/ROW]
[ROW][C]0.24[/C][C]95.9183085478542[/C][C]0.84475071575234[/C][/ROW]
[ROW][C]0.25[/C][C]96.0905716795998[/C][C]0.785073626549223[/C][/ROW]
[ROW][C]0.26[/C][C]96.2488246596636[/C][C]0.742779105897026[/C][/ROW]
[ROW][C]0.27[/C][C]96.3968978282451[/C][C]0.716473770504703[/C][/ROW]
[ROW][C]0.28[/C][C]96.5382699677364[/C][C]0.705222756435214[/C][/ROW]
[ROW][C]0.29[/C][C]96.6761223852406[/C][C]0.708321371852601[/C][/ROW]
[ROW][C]0.3[/C][C]96.813405183934[/C][C]0.725863145593432[/C][/ROW]
[ROW][C]0.31[/C][C]96.9528927982448[/C][C]0.757631267035342[/C][/ROW]
[ROW][C]0.32[/C][C]97.097212146033[/C][C]0.803733370396387[/C][/ROW]
[ROW][C]0.33[/C][C]97.248834047245[/C][C]0.863457010343252[/C][/ROW]
[ROW][C]0.34[/C][C]97.4100257989705[/C][C]0.935974865502641[/C][/ROW]
[ROW][C]0.35[/C][C]97.582769322077[/C][C]1.01928040224009[/C][/ROW]
[ROW][C]0.36[/C][C]97.7686547246144[/C][C]1.11066829961975[/C][/ROW]
[ROW][C]0.37[/C][C]97.9687632296816[/C][C]1.20676723042785[/C][/ROW]
[ROW][C]0.38[/C][C]98.183555998916[/C][C]1.30352987709458[/C][/ROW]
[ROW][C]0.39[/C][C]98.4127862364378[/C][C]1.39609462111666[/C][/ROW]
[ROW][C]0.4[/C][C]98.65545086086[/C][C]1.4799064365811[/C][/ROW]
[ROW][C]0.41[/C][C]98.909794837606[/C][C]1.55019328884897[/C][/ROW]
[ROW][C]0.42[/C][C]99.1733760308798[/C][C]1.60276267595641[/C][/ROW]
[ROW][C]0.43[/C][C]99.443191560376[/C][C]1.63468311095571[/C][/ROW]
[ROW][C]0.44[/C][C]99.7158589191832[/C][C]1.64395964084749[/C][/ROW]
[ROW][C]0.45[/C][C]99.9878376381741[/C][C]1.63014570022074[/C][/ROW]
[ROW][C]0.46[/C][C]100.255671312376[/C][C]1.59454451451388[/C][/ROW]
[ROW][C]0.47[/C][C]100.516226436325[/C][C]1.53957734478817[/C][/ROW]
[ROW][C]0.48[/C][C]100.766904405644[/C][C]1.46940746580755[/C][/ROW]
[ROW][C]0.49[/C][C]101.005806294907[/C][C]1.38874726029972[/C][/ROW]
[ROW][C]0.5[/C][C]101.231836029021[/C][C]1.30308488044260[/C][/ROW]
[ROW][C]0.51[/C][C]101.444735220256[/C][C]1.21782368482867[/C][/ROW]
[ROW][C]0.52[/C][C]101.645050888394[/C][C]1.13804566234769[/C][/ROW]
[ROW][C]0.53[/C][C]101.834044234756[/C][C]1.06817998580570[/C][/ROW]
[ROW][C]0.54[/C][C]102.013553679886[/C][C]1.01178394562194[/C][/ROW]
[ROW][C]0.55[/C][C]102.185828105376[/C][C]0.970945191884134[/C][/ROW]
[ROW][C]0.56[/C][C]102.353346805197[/C][C]0.946911565615199[/C][/ROW]
[ROW][C]0.57[/C][C]102.518641589241[/C][C]0.939086954786012[/C][/ROW]
[ROW][C]0.58[/C][C]102.684134492114[/C][C]0.946079715310816[/C][/ROW]
[ROW][C]0.59[/C][C]102.852002238693[/C][C]0.965400807906307[/C][/ROW]
[ROW][C]0.6[/C][C]103.024076352763[/C][C]0.994073412489012[/C][/ROW]
[ROW][C]0.61[/C][C]103.201785581598[/C][C]1.02900294052284[/C][/ROW]
[ROW][C]0.62[/C][C]103.386144890492[/C][C]1.06697877893132[/C][/ROW]
[ROW][C]0.63[/C][C]103.577792281583[/C][C]1.10559942813071[/C][/ROW]
[ROW][C]0.64[/C][C]103.77707080653[/C][C]1.14295643530945[/C][/ROW]
[ROW][C]0.65[/C][C]103.984148305131[/C][C]1.17812290404484[/C][/ROW]
[ROW][C]0.66[/C][C]104.199161881447[/C][C]1.21123633488894[/C][/ROW]
[ROW][C]0.67[/C][C]104.422368558934[/C][C]1.24338367631189[/C][/ROW]
[ROW][C]0.68[/C][C]104.654278899593[/C][C]1.27644399660694[/C][/ROW]
[ROW][C]0.69[/C][C]104.895747841293[/C][C]1.31309967036887[/C][/ROW]
[ROW][C]0.7[/C][C]105.147997927784[/C][C]1.35610783414605[/C][/ROW]
[ROW][C]0.71[/C][C]105.412555691672[/C][C]1.40751652046409[/C][/ROW]
[ROW][C]0.72[/C][C]105.691092945090[/C][C]1.46830742253326[/C][/ROW]
[ROW][C]0.73[/C][C]105.985180921191[/C][C]1.53768850677247[/C][/ROW]
[ROW][C]0.74[/C][C]106.295984904425[/C][C]1.61238509713008[/C][/ROW]
[ROW][C]0.75[/C][C]106.623946715189[/C][C]1.68749005542132[/C][/ROW]
[ROW][C]0.76[/C][C]106.968517100506[/C][C]1.75621859628113[/C][/ROW]
[ROW][C]0.77[/C][C]107.328003981771[/C][C]1.81132911513608[/C][/ROW]
[ROW][C]0.78[/C][C]107.699590898941[/C][C]1.84592663831734[/C][/ROW]
[ROW][C]0.79[/C][C]108.079551276175[/C][C]1.85530973026851[/C][/ROW]
[ROW][C]0.8[/C][C]108.463641680083[/C][C]1.83726345527739[/C][/ROW]
[ROW][C]0.81[/C][C]108.847610013963[/C][C]1.79320419879650[/C][/ROW]
[ROW][C]0.82[/C][C]109.227715904318[/C][C]1.72790750096100[/C][/ROW]
[ROW][C]0.83[/C][C]109.601144717765[/C][C]1.64828567722956[/C][/ROW]
[ROW][C]0.84[/C][C]109.966214204004[/C][C]1.56232945155633[/C][/ROW]
[ROW][C]0.85[/C][C]110.322325339829[/C][C]1.47700809302812[/C][/ROW]
[ROW][C]0.86[/C][C]110.669685791000[/C][C]1.39662655095835[/C][/ROW]
[ROW][C]0.87[/C][C]111.00891206999[/C][C]1.32196651580087[/C][/ROW]
[ROW][C]0.88[/C][C]111.340663543496[/C][C]1.25099649046379[/C][/ROW]
[ROW][C]0.89[/C][C]111.665450053149[/C][C]1.18035165482768[/C][/ROW]
[ROW][C]0.9[/C][C]111.983680023717[/C][C]1.10775542432169[/C][/ROW]
[ROW][C]0.91[/C][C]112.295919316306[/C][C]1.03333561420229[/C][/ROW]
[ROW][C]0.92[/C][C]112.603312965783[/C][C]0.959486188955129[/C][/ROW]
[ROW][C]0.93[/C][C]112.908294657979[/C][C]0.888979132535383[/C][/ROW]
[ROW][C]0.94[/C][C]113.216015200467[/C][C]0.823188525122694[/C][/ROW]
[ROW][C]0.95[/C][C]113.536787209082[/C][C]0.764610781609778[/C][/ROW]
[ROW][C]0.96[/C][C]113.887973634947[/C][C]0.729722297906245[/C][/ROW]
[ROW][C]0.97[/C][C]114.289207734777[/C][C]0.765052532081604[/C][/ROW]
[ROW][C]0.98[/C][C]114.741079151951[/C][C]0.92087418761529[/C][/ROW]
[ROW][C]0.99[/C][C]115.187451509504[/C][C]1.16727894055484[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16784&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16784&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
0.0181.25329680904381.11779486645604
0.0282.01006573354722.24893406006270
0.0383.08679671910672.90248632098292
0.0484.3097246748113.01306443451468
0.0585.51916199259832.81929371038251
0.0686.62446430306392.58088039100784
0.0787.60310768011282.43182921759067
0.0888.47230263075412.37910337912327
0.0989.26058547573232.37440618168912
0.189.99141564358462.37418160585810
0.1190.67832864172662.35550436368601
0.1291.32649382696752.31072816399791
0.1391.9361048360562.23917319869181
0.1492.50524900202662.14255204195681
0.1593.03167408357762.02327291086989
0.1693.51369204388151.88516340753100
0.1793.9506009133821.73385345376238
0.1894.34286944531071.57637388638096
0.1994.69217676022221.42006540242905
0.295.00132410074661.27198204922879
0.2195.27403024542751.13767732646087
0.2295.51464547615181.02078077295073
0.2395.72783808227240.923105464131225
0.2495.91830854785420.84475071575234
0.2596.09057167959980.785073626549223
0.2696.24882465966360.742779105897026
0.2796.39689782824510.716473770504703
0.2896.53826996773640.705222756435214
0.2996.67612238524060.708321371852601
0.396.8134051839340.725863145593432
0.3196.95289279824480.757631267035342
0.3297.0972121460330.803733370396387
0.3397.2488340472450.863457010343252
0.3497.41002579897050.935974865502641
0.3597.5827693220771.01928040224009
0.3697.76865472461441.11066829961975
0.3797.96876322968161.20676723042785
0.3898.1835559989161.30352987709458
0.3998.41278623643781.39609462111666
0.498.655450860861.4799064365811
0.4198.9097948376061.55019328884897
0.4299.17337603087981.60276267595641
0.4399.4431915603761.63468311095571
0.4499.71585891918321.64395964084749
0.4599.98783763817411.63014570022074
0.46100.2556713123761.59454451451388
0.47100.5162264363251.53957734478817
0.48100.7669044056441.46940746580755
0.49101.0058062949071.38874726029972
0.5101.2318360290211.30308488044260
0.51101.4447352202561.21782368482867
0.52101.6450508883941.13804566234769
0.53101.8340442347561.06817998580570
0.54102.0135536798861.01178394562194
0.55102.1858281053760.970945191884134
0.56102.3533468051970.946911565615199
0.57102.5186415892410.939086954786012
0.58102.6841344921140.946079715310816
0.59102.8520022386930.965400807906307
0.6103.0240763527630.994073412489012
0.61103.2017855815981.02900294052284
0.62103.3861448904921.06697877893132
0.63103.5777922815831.10559942813071
0.64103.777070806531.14295643530945
0.65103.9841483051311.17812290404484
0.66104.1991618814471.21123633488894
0.67104.4223685589341.24338367631189
0.68104.6542788995931.27644399660694
0.69104.8957478412931.31309967036887
0.7105.1479979277841.35610783414605
0.71105.4125556916721.40751652046409
0.72105.6910929450901.46830742253326
0.73105.9851809211911.53768850677247
0.74106.2959849044251.61238509713008
0.75106.6239467151891.68749005542132
0.76106.9685171005061.75621859628113
0.77107.3280039817711.81132911513608
0.78107.6995908989411.84592663831734
0.79108.0795512761751.85530973026851
0.8108.4636416800831.83726345527739
0.81108.8476100139631.79320419879650
0.82109.2277159043181.72790750096100
0.83109.6011447177651.64828567722956
0.84109.9662142040041.56232945155633
0.85110.3223253398291.47700809302812
0.86110.6696857910001.39662655095835
0.87111.008912069991.32196651580087
0.88111.3406635434961.25099649046379
0.89111.6654500531491.18035165482768
0.9111.9836800237171.10775542432169
0.91112.2959193163061.03333561420229
0.92112.6033129657830.959486188955129
0.93112.9082946579790.888979132535383
0.94113.2160152004670.823188525122694
0.95113.5367872090820.764610781609778
0.96113.8879736349470.729722297906245
0.97114.2892077347770.765052532081604
0.98114.7410791519510.92087418761529
0.99115.1874515095041.16727894055484


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')