FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 19 Oct 2008 07:16:01 -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/t1224422246jbucm99aay1yexb.htm/, Retrieved Sun, 19 May 2024 15:40:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16818, Retrieved Sun, 19 May 2024 15:40:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact141

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] [95% betrouwbaarhe...] [2008-10-19 13:16:01] [701cc898ddafddb72d72f8df86ee2872] [Current]
Feedback Forum
2008-10-22 13:19:48 [Kim Wester] [reply] 
Waarschijnlijk heeft u bij de herberekening een andere stepsize dan 0,005 gebruikt. Wanneer deze wel wordt gebruikt liggen de waarden tussen de 82,518 en 114,510 in plaats van 89,98 en 111,67.
2008-10-22 13:26:34 [Kim Wester] [reply] 
Toevoeging: tijdens college werd het gebruik van deze stepsize (0,005) bevestigd.
2008-10-25 12:12:13 [Kevin Truyts] [reply] 
Dit is de juiste berekening van de quantielen (step size = 0.005):
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Oct/25/t12249345347cvhvygwltjcsjq.htm, Retrieved Sat, 25 Oct 2008 11:35:42 +0000
2008-10-25 18:26:05 [Kevin Neelen] [reply] 
Aangezien hier met volledige procenten (quartiles) wordt gewerkt, is het onmogelijk om het exacte interval te kunnen bepalen. Als we te maken hebben met een betrouwbaarheidsinterval van 95%, vallen langs beide kanten 2,5% weg. Dit zijn met andere woorden dus geen volledige procenten. De stepsize voor de quantiles moet dus aangepast worden naar 0,005.
Als ik op bovenstaande link klik om naar de correcte berekening te gaan, werkt deze wel niet bij mij...

Post a new message

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 time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16818&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16818&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16818&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'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=16818&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=16818&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16818&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')