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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 27 Feb 2016 18:16:51 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Feb/27/t1456597196sqk8j63wa777bct.htm/, Retrieved Sat, 27 Apr 2024 10:52:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292923, Retrieved Sat, 27 Apr 2024 10:52:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact55

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] [] [2016-02-27 18:16:51] [4661a511bc27dc3517a7b8e15be46886] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
17887
17118
15945
15085
14027
15158
23783
25166
21839
18522
16850
16679
17806
17542
16380
15434
14478
15506
22357
27204
24182
20760
18731
18377
18775
18943
17974
17192
1604
17101
25972
28139
26131
22600
20320
19662
20440
19694
18260
16832
15539
16676
25216
26994
24865
21793
19505
18696
19221
18742
17633
16379
15007
15762
24146
25720
23731
20542
18807
18459

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'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292923&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292923&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292923&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.014106.035860552749924.97544448124
0.027425.004659933786879.98321144947
0.0310370.5187603894191.31369096854
0.0412442.17275942762334.61444167847
0.0513697.0709058381259.96060033653
0.0614395.421063473719.47745949764
0.0714778.1842828533476.796683700068
0.0815002.0148714979375.911627483555
0.0915151.4778640231338.04201622069
0.115267.6109739852330.13340437245
0.1115369.4719369647338.36423678429
0.1215466.0129442585356.008799400013
0.1315561.6047374688378.971068150981
0.1415658.3728637741403.959749313714
0.1515757.1638048233428.001092050646
0.1615857.9842090761448.438687794248
0.1715960.2617284131463.273212105767
0.1816063.0586865524471.414372076897
0.1916165.2761017384472.781171815582
0.216265.84432438468.237762819964
0.2116363.881533925459.376257009804
0.2216458.8019071275448.180118762026
0.2316550.3642657529436.710149851294
0.2416638.6633836662426.74587679287
0.2516724.0755123905419.693455751878
0.2616807.1749046003416.32343826192
0.2716888.6389772327416.845440991034
0.2816969.1572986887420.900460654398
0.2917049.3552931199427.78078680004
0.317129.738784631436.584108723011
0.3117210.6612026324446.257702060433
0.3217292.3119401752455.856380804079
0.3317374.72215985464.54225137023
0.3417457.7832277672471.646521295193
0.3517541.2727737132476.647052613822
0.3617624.883928135479.248566876921
0.3717708.2543513517479.295134675502
0.3817790.9930024097476.721548371615
0.3917872.7039376584471.608595542842
0.417953.0075400032464.080113899343
0.4118031.5602681125454.354214411676
0.4218108.074177821442.787946396559
0.4318182.3371119761429.772728431016
0.4418254.2336935686415.92033060973
0.4518323.7662852542401.97985584444
0.4618391.0741314322388.78779636185
0.4718456.4482053617377.429752902285
0.4818520.3390234631368.988168790756
0.4918583.3549636518364.619618905111
0.518646.2494413262365.307549448999
0.5118709.8965656341371.921533522414
0.5218775.256443507384.850472860542
0.5318843.3328793005404.181088368819
0.5418915.1275629293429.539221625936
0.5518991.595690404460.233547421704
0.5619073.6081172464495.34416358629
0.5719161.9245074134533.92454120852
0.5819257.1805375085574.93550125838
0.5919359.8902146588617.568532603617
0.619470.4620523842661.163983974334
0.6119589.2255854963705.306768455357
0.6219716.4628734977749.797770603369
0.6319852.438572606794.765247816751
0.6419997.422065519840.295161781033
0.6520151.6960806277886.659646975807
0.6620315.5480859407933.815541486813
0.6720489.243228592981.675678491619
0.6820672.98033406051029.68406126313
0.6920866.83509808991076.9673820518
0.721070.69679632091122.2424775759
0.7121284.20642852651163.93744090859
0.7221506.70514251751200.28038240624
0.7321737.20200211691229.40555139144
0.7421974.36952671941249.49452906696
0.7522216.5736218241259.03103398452
0.7622461.94114076831256.90581172645
0.7722708.46315370671242.61397480736
0.7822954.12540825851216.44838111569
0.7923197.05067703471179.5596972752
0.823435.63275918671133.92659206903
0.8123668.64116864781082.11751704789
0.8223895.28062923511026.92013046577
0.8324115.2003379309970.97188888499
0.8424328.4623436322916.291008134105
0.8524535.4924089614864.207891070476
0.8624737.0457993791815.437115502144
0.8724934.2200945398770.4749781715
0.8825128.5328984277729.983313330149
0.8925322.0503222445695.208316315561
0.925517.5041037303668.086787506341
0.9125718.2924114423650.965996539404
0.9225928.2780555449645.2659925451
0.9326151.4535237494649.013632998136
0.9426391.8186156346654.795017971195
0.9526653.8679055861652.382001351905
0.9626943.0852117205639.532489582563
0.9727263.1666460733638.16437645247
0.9827604.426513109691.429689472615
0.9927923.761677717807.608030361509

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4106.03586055274 & 9924.97544448124 \tabularnewline
0.02 & 7425.00465993378 & 6879.98321144947 \tabularnewline
0.03 & 10370.518760389 & 4191.31369096854 \tabularnewline
0.04 & 12442.1727594276 & 2334.61444167847 \tabularnewline
0.05 & 13697.070905838 & 1259.96060033653 \tabularnewline
0.06 & 14395.421063473 & 719.47745949764 \tabularnewline
0.07 & 14778.1842828533 & 476.796683700068 \tabularnewline
0.08 & 15002.0148714979 & 375.911627483555 \tabularnewline
0.09 & 15151.4778640231 & 338.04201622069 \tabularnewline
0.1 & 15267.6109739852 & 330.13340437245 \tabularnewline
0.11 & 15369.4719369647 & 338.36423678429 \tabularnewline
0.12 & 15466.0129442585 & 356.008799400013 \tabularnewline
0.13 & 15561.6047374688 & 378.971068150981 \tabularnewline
0.14 & 15658.3728637741 & 403.959749313714 \tabularnewline
0.15 & 15757.1638048233 & 428.001092050646 \tabularnewline
0.16 & 15857.9842090761 & 448.438687794248 \tabularnewline
0.17 & 15960.2617284131 & 463.273212105767 \tabularnewline
0.18 & 16063.0586865524 & 471.414372076897 \tabularnewline
0.19 & 16165.2761017384 & 472.781171815582 \tabularnewline
0.2 & 16265.84432438 & 468.237762819964 \tabularnewline
0.21 & 16363.881533925 & 459.376257009804 \tabularnewline
0.22 & 16458.8019071275 & 448.180118762026 \tabularnewline
0.23 & 16550.3642657529 & 436.710149851294 \tabularnewline
0.24 & 16638.6633836662 & 426.74587679287 \tabularnewline
0.25 & 16724.0755123905 & 419.693455751878 \tabularnewline
0.26 & 16807.1749046003 & 416.32343826192 \tabularnewline
0.27 & 16888.6389772327 & 416.845440991034 \tabularnewline
0.28 & 16969.1572986887 & 420.900460654398 \tabularnewline
0.29 & 17049.3552931199 & 427.78078680004 \tabularnewline
0.3 & 17129.738784631 & 436.584108723011 \tabularnewline
0.31 & 17210.6612026324 & 446.257702060433 \tabularnewline
0.32 & 17292.3119401752 & 455.856380804079 \tabularnewline
0.33 & 17374.72215985 & 464.54225137023 \tabularnewline
0.34 & 17457.7832277672 & 471.646521295193 \tabularnewline
0.35 & 17541.2727737132 & 476.647052613822 \tabularnewline
0.36 & 17624.883928135 & 479.248566876921 \tabularnewline
0.37 & 17708.2543513517 & 479.295134675502 \tabularnewline
0.38 & 17790.9930024097 & 476.721548371615 \tabularnewline
0.39 & 17872.7039376584 & 471.608595542842 \tabularnewline
0.4 & 17953.0075400032 & 464.080113899343 \tabularnewline
0.41 & 18031.5602681125 & 454.354214411676 \tabularnewline
0.42 & 18108.074177821 & 442.787946396559 \tabularnewline
0.43 & 18182.3371119761 & 429.772728431016 \tabularnewline
0.44 & 18254.2336935686 & 415.92033060973 \tabularnewline
0.45 & 18323.7662852542 & 401.97985584444 \tabularnewline
0.46 & 18391.0741314322 & 388.78779636185 \tabularnewline
0.47 & 18456.4482053617 & 377.429752902285 \tabularnewline
0.48 & 18520.3390234631 & 368.988168790756 \tabularnewline
0.49 & 18583.3549636518 & 364.619618905111 \tabularnewline
0.5 & 18646.2494413262 & 365.307549448999 \tabularnewline
0.51 & 18709.8965656341 & 371.921533522414 \tabularnewline
0.52 & 18775.256443507 & 384.850472860542 \tabularnewline
0.53 & 18843.3328793005 & 404.181088368819 \tabularnewline
0.54 & 18915.1275629293 & 429.539221625936 \tabularnewline
0.55 & 18991.595690404 & 460.233547421704 \tabularnewline
0.56 & 19073.6081172464 & 495.34416358629 \tabularnewline
0.57 & 19161.9245074134 & 533.92454120852 \tabularnewline
0.58 & 19257.1805375085 & 574.93550125838 \tabularnewline
0.59 & 19359.8902146588 & 617.568532603617 \tabularnewline
0.6 & 19470.4620523842 & 661.163983974334 \tabularnewline
0.61 & 19589.2255854963 & 705.306768455357 \tabularnewline
0.62 & 19716.4628734977 & 749.797770603369 \tabularnewline
0.63 & 19852.438572606 & 794.765247816751 \tabularnewline
0.64 & 19997.422065519 & 840.295161781033 \tabularnewline
0.65 & 20151.6960806277 & 886.659646975807 \tabularnewline
0.66 & 20315.5480859407 & 933.815541486813 \tabularnewline
0.67 & 20489.243228592 & 981.675678491619 \tabularnewline
0.68 & 20672.9803340605 & 1029.68406126313 \tabularnewline
0.69 & 20866.8350980899 & 1076.9673820518 \tabularnewline
0.7 & 21070.6967963209 & 1122.2424775759 \tabularnewline
0.71 & 21284.2064285265 & 1163.93744090859 \tabularnewline
0.72 & 21506.7051425175 & 1200.28038240624 \tabularnewline
0.73 & 21737.2020021169 & 1229.40555139144 \tabularnewline
0.74 & 21974.3695267194 & 1249.49452906696 \tabularnewline
0.75 & 22216.573621824 & 1259.03103398452 \tabularnewline
0.76 & 22461.9411407683 & 1256.90581172645 \tabularnewline
0.77 & 22708.4631537067 & 1242.61397480736 \tabularnewline
0.78 & 22954.1254082585 & 1216.44838111569 \tabularnewline
0.79 & 23197.0506770347 & 1179.5596972752 \tabularnewline
0.8 & 23435.6327591867 & 1133.92659206903 \tabularnewline
0.81 & 23668.6411686478 & 1082.11751704789 \tabularnewline
0.82 & 23895.2806292351 & 1026.92013046577 \tabularnewline
0.83 & 24115.2003379309 & 970.97188888499 \tabularnewline
0.84 & 24328.4623436322 & 916.291008134105 \tabularnewline
0.85 & 24535.4924089614 & 864.207891070476 \tabularnewline
0.86 & 24737.0457993791 & 815.437115502144 \tabularnewline
0.87 & 24934.2200945398 & 770.4749781715 \tabularnewline
0.88 & 25128.5328984277 & 729.983313330149 \tabularnewline
0.89 & 25322.0503222445 & 695.208316315561 \tabularnewline
0.9 & 25517.5041037303 & 668.086787506341 \tabularnewline
0.91 & 25718.2924114423 & 650.965996539404 \tabularnewline
0.92 & 25928.2780555449 & 645.2659925451 \tabularnewline
0.93 & 26151.4535237494 & 649.013632998136 \tabularnewline
0.94 & 26391.8186156346 & 654.795017971195 \tabularnewline
0.95 & 26653.8679055861 & 652.382001351905 \tabularnewline
0.96 & 26943.0852117205 & 639.532489582563 \tabularnewline
0.97 & 27263.1666460733 & 638.16437645247 \tabularnewline
0.98 & 27604.426513109 & 691.429689472615 \tabularnewline
0.99 & 27923.761677717 & 807.608030361509 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292923&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]4106.03586055274[/C][C]9924.97544448124[/C][/ROW]
[ROW][C]0.02[/C][C]7425.00465993378[/C][C]6879.98321144947[/C][/ROW]
[ROW][C]0.03[/C][C]10370.518760389[/C][C]4191.31369096854[/C][/ROW]
[ROW][C]0.04[/C][C]12442.1727594276[/C][C]2334.61444167847[/C][/ROW]
[ROW][C]0.05[/C][C]13697.070905838[/C][C]1259.96060033653[/C][/ROW]
[ROW][C]0.06[/C][C]14395.421063473[/C][C]719.47745949764[/C][/ROW]
[ROW][C]0.07[/C][C]14778.1842828533[/C][C]476.796683700068[/C][/ROW]
[ROW][C]0.08[/C][C]15002.0148714979[/C][C]375.911627483555[/C][/ROW]
[ROW][C]0.09[/C][C]15151.4778640231[/C][C]338.04201622069[/C][/ROW]
[ROW][C]0.1[/C][C]15267.6109739852[/C][C]330.13340437245[/C][/ROW]
[ROW][C]0.11[/C][C]15369.4719369647[/C][C]338.36423678429[/C][/ROW]
[ROW][C]0.12[/C][C]15466.0129442585[/C][C]356.008799400013[/C][/ROW]
[ROW][C]0.13[/C][C]15561.6047374688[/C][C]378.971068150981[/C][/ROW]
[ROW][C]0.14[/C][C]15658.3728637741[/C][C]403.959749313714[/C][/ROW]
[ROW][C]0.15[/C][C]15757.1638048233[/C][C]428.001092050646[/C][/ROW]
[ROW][C]0.16[/C][C]15857.9842090761[/C][C]448.438687794248[/C][/ROW]
[ROW][C]0.17[/C][C]15960.2617284131[/C][C]463.273212105767[/C][/ROW]
[ROW][C]0.18[/C][C]16063.0586865524[/C][C]471.414372076897[/C][/ROW]
[ROW][C]0.19[/C][C]16165.2761017384[/C][C]472.781171815582[/C][/ROW]
[ROW][C]0.2[/C][C]16265.84432438[/C][C]468.237762819964[/C][/ROW]
[ROW][C]0.21[/C][C]16363.881533925[/C][C]459.376257009804[/C][/ROW]
[ROW][C]0.22[/C][C]16458.8019071275[/C][C]448.180118762026[/C][/ROW]
[ROW][C]0.23[/C][C]16550.3642657529[/C][C]436.710149851294[/C][/ROW]
[ROW][C]0.24[/C][C]16638.6633836662[/C][C]426.74587679287[/C][/ROW]
[ROW][C]0.25[/C][C]16724.0755123905[/C][C]419.693455751878[/C][/ROW]
[ROW][C]0.26[/C][C]16807.1749046003[/C][C]416.32343826192[/C][/ROW]
[ROW][C]0.27[/C][C]16888.6389772327[/C][C]416.845440991034[/C][/ROW]
[ROW][C]0.28[/C][C]16969.1572986887[/C][C]420.900460654398[/C][/ROW]
[ROW][C]0.29[/C][C]17049.3552931199[/C][C]427.78078680004[/C][/ROW]
[ROW][C]0.3[/C][C]17129.738784631[/C][C]436.584108723011[/C][/ROW]
[ROW][C]0.31[/C][C]17210.6612026324[/C][C]446.257702060433[/C][/ROW]
[ROW][C]0.32[/C][C]17292.3119401752[/C][C]455.856380804079[/C][/ROW]
[ROW][C]0.33[/C][C]17374.72215985[/C][C]464.54225137023[/C][/ROW]
[ROW][C]0.34[/C][C]17457.7832277672[/C][C]471.646521295193[/C][/ROW]
[ROW][C]0.35[/C][C]17541.2727737132[/C][C]476.647052613822[/C][/ROW]
[ROW][C]0.36[/C][C]17624.883928135[/C][C]479.248566876921[/C][/ROW]
[ROW][C]0.37[/C][C]17708.2543513517[/C][C]479.295134675502[/C][/ROW]
[ROW][C]0.38[/C][C]17790.9930024097[/C][C]476.721548371615[/C][/ROW]
[ROW][C]0.39[/C][C]17872.7039376584[/C][C]471.608595542842[/C][/ROW]
[ROW][C]0.4[/C][C]17953.0075400032[/C][C]464.080113899343[/C][/ROW]
[ROW][C]0.41[/C][C]18031.5602681125[/C][C]454.354214411676[/C][/ROW]
[ROW][C]0.42[/C][C]18108.074177821[/C][C]442.787946396559[/C][/ROW]
[ROW][C]0.43[/C][C]18182.3371119761[/C][C]429.772728431016[/C][/ROW]
[ROW][C]0.44[/C][C]18254.2336935686[/C][C]415.92033060973[/C][/ROW]
[ROW][C]0.45[/C][C]18323.7662852542[/C][C]401.97985584444[/C][/ROW]
[ROW][C]0.46[/C][C]18391.0741314322[/C][C]388.78779636185[/C][/ROW]
[ROW][C]0.47[/C][C]18456.4482053617[/C][C]377.429752902285[/C][/ROW]
[ROW][C]0.48[/C][C]18520.3390234631[/C][C]368.988168790756[/C][/ROW]
[ROW][C]0.49[/C][C]18583.3549636518[/C][C]364.619618905111[/C][/ROW]
[ROW][C]0.5[/C][C]18646.2494413262[/C][C]365.307549448999[/C][/ROW]
[ROW][C]0.51[/C][C]18709.8965656341[/C][C]371.921533522414[/C][/ROW]
[ROW][C]0.52[/C][C]18775.256443507[/C][C]384.850472860542[/C][/ROW]
[ROW][C]0.53[/C][C]18843.3328793005[/C][C]404.181088368819[/C][/ROW]
[ROW][C]0.54[/C][C]18915.1275629293[/C][C]429.539221625936[/C][/ROW]
[ROW][C]0.55[/C][C]18991.595690404[/C][C]460.233547421704[/C][/ROW]
[ROW][C]0.56[/C][C]19073.6081172464[/C][C]495.34416358629[/C][/ROW]
[ROW][C]0.57[/C][C]19161.9245074134[/C][C]533.92454120852[/C][/ROW]
[ROW][C]0.58[/C][C]19257.1805375085[/C][C]574.93550125838[/C][/ROW]
[ROW][C]0.59[/C][C]19359.8902146588[/C][C]617.568532603617[/C][/ROW]
[ROW][C]0.6[/C][C]19470.4620523842[/C][C]661.163983974334[/C][/ROW]
[ROW][C]0.61[/C][C]19589.2255854963[/C][C]705.306768455357[/C][/ROW]
[ROW][C]0.62[/C][C]19716.4628734977[/C][C]749.797770603369[/C][/ROW]
[ROW][C]0.63[/C][C]19852.438572606[/C][C]794.765247816751[/C][/ROW]
[ROW][C]0.64[/C][C]19997.422065519[/C][C]840.295161781033[/C][/ROW]
[ROW][C]0.65[/C][C]20151.6960806277[/C][C]886.659646975807[/C][/ROW]
[ROW][C]0.66[/C][C]20315.5480859407[/C][C]933.815541486813[/C][/ROW]
[ROW][C]0.67[/C][C]20489.243228592[/C][C]981.675678491619[/C][/ROW]
[ROW][C]0.68[/C][C]20672.9803340605[/C][C]1029.68406126313[/C][/ROW]
[ROW][C]0.69[/C][C]20866.8350980899[/C][C]1076.9673820518[/C][/ROW]
[ROW][C]0.7[/C][C]21070.6967963209[/C][C]1122.2424775759[/C][/ROW]
[ROW][C]0.71[/C][C]21284.2064285265[/C][C]1163.93744090859[/C][/ROW]
[ROW][C]0.72[/C][C]21506.7051425175[/C][C]1200.28038240624[/C][/ROW]
[ROW][C]0.73[/C][C]21737.2020021169[/C][C]1229.40555139144[/C][/ROW]
[ROW][C]0.74[/C][C]21974.3695267194[/C][C]1249.49452906696[/C][/ROW]
[ROW][C]0.75[/C][C]22216.573621824[/C][C]1259.03103398452[/C][/ROW]
[ROW][C]0.76[/C][C]22461.9411407683[/C][C]1256.90581172645[/C][/ROW]
[ROW][C]0.77[/C][C]22708.4631537067[/C][C]1242.61397480736[/C][/ROW]
[ROW][C]0.78[/C][C]22954.1254082585[/C][C]1216.44838111569[/C][/ROW]
[ROW][C]0.79[/C][C]23197.0506770347[/C][C]1179.5596972752[/C][/ROW]
[ROW][C]0.8[/C][C]23435.6327591867[/C][C]1133.92659206903[/C][/ROW]
[ROW][C]0.81[/C][C]23668.6411686478[/C][C]1082.11751704789[/C][/ROW]
[ROW][C]0.82[/C][C]23895.2806292351[/C][C]1026.92013046577[/C][/ROW]
[ROW][C]0.83[/C][C]24115.2003379309[/C][C]970.97188888499[/C][/ROW]
[ROW][C]0.84[/C][C]24328.4623436322[/C][C]916.291008134105[/C][/ROW]
[ROW][C]0.85[/C][C]24535.4924089614[/C][C]864.207891070476[/C][/ROW]
[ROW][C]0.86[/C][C]24737.0457993791[/C][C]815.437115502144[/C][/ROW]
[ROW][C]0.87[/C][C]24934.2200945398[/C][C]770.4749781715[/C][/ROW]
[ROW][C]0.88[/C][C]25128.5328984277[/C][C]729.983313330149[/C][/ROW]
[ROW][C]0.89[/C][C]25322.0503222445[/C][C]695.208316315561[/C][/ROW]
[ROW][C]0.9[/C][C]25517.5041037303[/C][C]668.086787506341[/C][/ROW]
[ROW][C]0.91[/C][C]25718.2924114423[/C][C]650.965996539404[/C][/ROW]
[ROW][C]0.92[/C][C]25928.2780555449[/C][C]645.2659925451[/C][/ROW]
[ROW][C]0.93[/C][C]26151.4535237494[/C][C]649.013632998136[/C][/ROW]
[ROW][C]0.94[/C][C]26391.8186156346[/C][C]654.795017971195[/C][/ROW]
[ROW][C]0.95[/C][C]26653.8679055861[/C][C]652.382001351905[/C][/ROW]
[ROW][C]0.96[/C][C]26943.0852117205[/C][C]639.532489582563[/C][/ROW]
[ROW][C]0.97[/C][C]27263.1666460733[/C][C]638.16437645247[/C][/ROW]
[ROW][C]0.98[/C][C]27604.426513109[/C][C]691.429689472615[/C][/ROW]
[ROW][C]0.99[/C][C]27923.761677717[/C][C]807.608030361509[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292923&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292923&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
0.014106.035860552749924.97544448124
0.027425.004659933786879.98321144947
0.0310370.5187603894191.31369096854
0.0412442.17275942762334.61444167847
0.0513697.0709058381259.96060033653
0.0614395.421063473719.47745949764
0.0714778.1842828533476.796683700068
0.0815002.0148714979375.911627483555
0.0915151.4778640231338.04201622069
0.115267.6109739852330.13340437245
0.1115369.4719369647338.36423678429
0.1215466.0129442585356.008799400013
0.1315561.6047374688378.971068150981
0.1415658.3728637741403.959749313714
0.1515757.1638048233428.001092050646
0.1615857.9842090761448.438687794248
0.1715960.2617284131463.273212105767
0.1816063.0586865524471.414372076897
0.1916165.2761017384472.781171815582
0.216265.84432438468.237762819964
0.2116363.881533925459.376257009804
0.2216458.8019071275448.180118762026
0.2316550.3642657529436.710149851294
0.2416638.6633836662426.74587679287
0.2516724.0755123905419.693455751878
0.2616807.1749046003416.32343826192
0.2716888.6389772327416.845440991034
0.2816969.1572986887420.900460654398
0.2917049.3552931199427.78078680004
0.317129.738784631436.584108723011
0.3117210.6612026324446.257702060433
0.3217292.3119401752455.856380804079
0.3317374.72215985464.54225137023
0.3417457.7832277672471.646521295193
0.3517541.2727737132476.647052613822
0.3617624.883928135479.248566876921
0.3717708.2543513517479.295134675502
0.3817790.9930024097476.721548371615
0.3917872.7039376584471.608595542842
0.417953.0075400032464.080113899343
0.4118031.5602681125454.354214411676
0.4218108.074177821442.787946396559
0.4318182.3371119761429.772728431016
0.4418254.2336935686415.92033060973
0.4518323.7662852542401.97985584444
0.4618391.0741314322388.78779636185
0.4718456.4482053617377.429752902285
0.4818520.3390234631368.988168790756
0.4918583.3549636518364.619618905111
0.518646.2494413262365.307549448999
0.5118709.8965656341371.921533522414
0.5218775.256443507384.850472860542
0.5318843.3328793005404.181088368819
0.5418915.1275629293429.539221625936
0.5518991.595690404460.233547421704
0.5619073.6081172464495.34416358629
0.5719161.9245074134533.92454120852
0.5819257.1805375085574.93550125838
0.5919359.8902146588617.568532603617
0.619470.4620523842661.163983974334
0.6119589.2255854963705.306768455357
0.6219716.4628734977749.797770603369
0.6319852.438572606794.765247816751
0.6419997.422065519840.295161781033
0.6520151.6960806277886.659646975807
0.6620315.5480859407933.815541486813
0.6720489.243228592981.675678491619
0.6820672.98033406051029.68406126313
0.6920866.83509808991076.9673820518
0.721070.69679632091122.2424775759
0.7121284.20642852651163.93744090859
0.7221506.70514251751200.28038240624
0.7321737.20200211691229.40555139144
0.7421974.36952671941249.49452906696
0.7522216.5736218241259.03103398452
0.7622461.94114076831256.90581172645
0.7722708.46315370671242.61397480736
0.7822954.12540825851216.44838111569
0.7923197.05067703471179.5596972752
0.823435.63275918671133.92659206903
0.8123668.64116864781082.11751704789
0.8223895.28062923511026.92013046577
0.8324115.2003379309970.97188888499
0.8424328.4623436322916.291008134105
0.8524535.4924089614864.207891070476
0.8624737.0457993791815.437115502144
0.8724934.2200945398770.4749781715
0.8825128.5328984277729.983313330149
0.8925322.0503222445695.208316315561
0.925517.5041037303668.086787506341
0.9125718.2924114423650.965996539404
0.9225928.2780555449645.2659925451
0.9326151.4535237494649.013632998136
0.9426391.8186156346654.795017971195
0.9526653.8679055861652.382001351905
0.9626943.0852117205639.532489582563
0.9727263.1666460733638.16437645247
0.9827604.426513109691.429689472615
0.9927923.761677717807.608030361509


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')