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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 22 Oct 2007 14:04:43 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Oct/22/0bcctgtt5glnnzt1193086798.htm/, Retrieved Tue, 21 Apr 2026 17:07:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=1324, Retrieved Tue, 21 Apr 2026 17:07:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsQ6
Estimated Impact446

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] [Q6] [2007-10-22 21:04:43] [a1c3b9772d97ad2d7bb67d4cdac038f3] [Current]
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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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1324&T=0

[TABLE]
[ROW][C]Summary of compuational 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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=1324&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1324&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






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
0.1190.67832864172672.35550436368601
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
0.1994.69217676022211.42006540242905
0.295.00132410074661.27198204922879
0.2195.27403024542741.13767732646087
0.2295.51464547615181.02078077295073
0.2395.72783808227230.923105464131225
0.2495.91830854785410.84475071575234
0.2596.09057167959980.785073626549223
0.2696.24882465966360.742779105897026
0.2796.39689782824510.716473770504703
0.2896.53826996773650.705222756435214
0.2996.67612238524050.7083213718526
0.396.81340518393410.725863145593432
0.3196.95289279824480.757631267035342
0.3297.0972121460330.803733370396387
0.3397.2488340472450.863457010343252
0.3497.41002579897050.935974865502641
0.3597.5827693220771.01928040224009
0.3697.76865472461441.11066829961975
0.3797.96876322968171.20676723042785
0.3898.1835559989161.30352987709458
0.3998.41278623643781.39609462111666
0.498.655450860861.4799064365811
0.4198.9097948376061.55019328884897
0.4299.17337603087981.60276267595641
0.4399.44319156037591.63468311095571
0.4499.71585891918331.64395964084749
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
1115.5NA

\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 & 90.6783286417267 & 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 & 94.6921767602221 & 1.42006540242905 \tabularnewline
0.2 & 95.0013241007466 & 1.27198204922879 \tabularnewline
0.21 & 95.2740302454274 & 1.13767732646087 \tabularnewline
0.22 & 95.5146454761518 & 1.02078077295073 \tabularnewline
0.23 & 95.7278380822723 & 0.923105464131225 \tabularnewline
0.24 & 95.9183085478541 & 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 & 96.5382699677365 & 0.705222756435214 \tabularnewline
0.29 & 96.6761223852405 & 0.7083213718526 \tabularnewline
0.3 & 96.8134051839341 & 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 & 97.9687632296817 & 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 & 99.4431915603759 & 1.63468311095571 \tabularnewline
0.44 & 99.7158589191833 & 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
1 & 115.5 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1324&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]90.6783286417267[/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]94.6921767602221[/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]95.2740302454274[/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]95.7278380822723[/C][C]0.923105464131225[/C][/ROW]
[ROW][C]0.24[/C][C]95.9183085478541[/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]96.5382699677365[/C][C]0.705222756435214[/C][/ROW]
[ROW][C]0.29[/C][C]96.6761223852405[/C][C]0.7083213718526[/C][/ROW]
[ROW][C]0.3[/C][C]96.8134051839341[/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]97.9687632296817[/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]99.4431915603759[/C][C]1.63468311095571[/C][/ROW]
[ROW][C]0.44[/C][C]99.7158589191833[/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]
[ROW][C]1[/C][C]115.5[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=1324&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1324&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
0.1190.67832864172672.35550436368601
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
0.1994.69217676022211.42006540242905
0.295.00132410074661.27198204922879
0.2195.27403024542741.13767732646087
0.2295.51464547615181.02078077295073
0.2395.72783808227230.923105464131225
0.2495.91830854785410.84475071575234
0.2596.09057167959980.785073626549223
0.2696.24882465966360.742779105897026
0.2796.39689782824510.716473770504703
0.2896.53826996773650.705222756435214
0.2996.67612238524050.7083213718526
0.396.81340518393410.725863145593432
0.3196.95289279824480.757631267035342
0.3297.0972121460330.803733370396387
0.3397.2488340472450.863457010343252
0.3497.41002579897050.935974865502641
0.3597.5827693220771.01928040224009
0.3697.76865472461441.11066829961975
0.3797.96876322968171.20676723042785
0.3898.1835559989161.30352987709458
0.3998.41278623643781.39609462111666
0.498.655450860861.4799064365811
0.4198.9097948376061.55019328884897
0.4299.17337603087981.60276267595641
0.4399.44319156037591.63468311095571
0.4499.71585891918331.64395964084749
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
1115.5NA


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 01 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 01 ; 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')