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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 computationMon, 20 Oct 2008 09:55:19 -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/20/t1224518153627x7iewsxxraz1.htm/, Retrieved Sun, 19 May 2024 15:26:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17544, Retrieved Sun, 19 May 2024 15:26:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact397

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] [95% betrouwheidsi...] [2008-10-20 15:55:19] [28deb8481dba3cc87d2d53a86e0e0d0b] [Current]
-   P     [Harrell-Davis Quantiles] [Oplossing Q7 - 95...] [2008-10-25 11:34:13] [495cd80c1a9baafb03c09cd9ab8d8fb5]
Feedback Forum
2008-10-25 11:40:15 [Kevin Truyts] [reply] 
De student heeft een juiste berekening gedaan met de juiste data set, maar hij had 'step size' vergeten te veranderen naar 0.005. Hierdoor is het snel en makkelijk af te lezen waar het betrouwbaarheidsinterval van 95% zich bevindt.

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

Hierdoor bevindt het betrouwbaarheidsinterval zich tussen 82.518 en 114.510.
2008-10-25 11:50:30 [Kevin Truyts] [reply] 
Aangezien de student geen verdere berekeningen en commentaar heeft gegeven in zijn word-document, ga ik task 2 en 3 hier bespreken.

Task 2:
Om de gevraagde gegevens te kunnen analyseren gaan we naar http://www.nbb.be/belgostat/PresentationLinker?TableId=534000005&Lang=N
om de gegevens te zoeken.
Wanneer we dit hebben gedaan zien we dat alle indexcijfers groter zijn dan het maximum van het 95%-betrouwbaarheidsinterval. Dit zit dus in de overige 5% die niet binnen dit interval liggen.
Wanneer we een voorspelling gaan doen op te zien wat de kans is dat 122.40 als uitkomst is. Dan zien we dat dit zal convergeren naar 0. De kans is dus minder dan 0.01%. (uitleg tijdens college)

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Oct/19/t1224428501tyhtzwpvy278kyq.htm, Retrieved Sun, 19 Oct 2008 15:01:49 +0000

Task 3:
Dit kan ik niet bespreken aangezien ik nergens de tijdreeksen van de student kan terugvinden.
2008-10-25 12:22:47 [Bob Leysen] [reply] 
De grafiek begint bij 0,01, maar er werd gevraagd om bij 0,025 te beginnen en te eindigen bij 0,975. Er wordt dus langs beide zijden 2,5% afgeknipt.
De dataset is correct.
2008-10-27 17:30:04 [Bob Leysen] [reply] 
Hieronder de correcte link:

http://www.freestatistics.org/blog/index.php?v=date/2008/Oct/20/t1224459845ly6bus1tx5q9eh3.htm

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 time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17544&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]3 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=17544&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17544&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 time3 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=17544&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=17544&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17544&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')