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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 computationMon, 06 Oct 2014 16:42:17 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/06/t1412610148ll3wsp8sxobj8xe.htm/, Retrieved Sun, 12 May 2024 22:58:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=239043, Retrieved Sun, 12 May 2024 22:58:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact63

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] [] [2014-10-06 15:42:17] [0837030ca90013de3b1661dab7c6b0da] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1196
1141
6081
-3508
1782
-891
-2043
35
5042
-1837
406
-3621
1987
1627
6692
-3999
679
-215
-2820
799
9957
5154
1302
6287
1891
2191
7336
-2351
881
388
-1936
1120
4438
-3495
1012
-3704
2879
1907
6451
-2814
1613
-40
-3086
292
5283
-1671
3529
-3191
2090
3278
5686
-1817
2322
-705
-1980
646
6077
2632
2356
-1717
1733
2232
6167
-4668
1694
589
-4163
174
5421
-38
3158
-4322
1920
2527
7755
-2567
-388
-2084
-2024
-131
5615
187
2054
-7172

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239043&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239043&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239043&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-6375.319617874121824.80657112202
0.02-5413.598013792271071.16666842083
0.03-4724.97594961493594.171124906061
0.04-4321.71011273133397.013461424122
0.05-4078.96139356204341.869206129807
0.06-3905.62274339693330.245325867442
0.07-3760.30002644251329.970326006631
0.08-3627.22122132724337.437920453587
0.09-3499.60740839774354.047242973454
0.1-3373.47181759616378.163097516823
0.11-3246.30002144564405.201822374469
0.12-3117.02777190751430.15387622635
0.13-2985.97629569456449.161355326025
0.14-2854.51565030555459.938747517028
0.15-2724.58321273444461.607790609738
0.16-2598.19573787116454.604550497413
0.17-2477.0185573047440.797462577468
0.18-2362.01261413404423.532587490323
0.19-2253.18334388402407.478890439438
0.2-2149.47189235911398.075665201413
0.21-2048.8273219855400.407345014422
0.22-1948.46984850528417.769134211301
0.23-1845.31144119587450.500331652516
0.24-1736.45991442701495.786502134255
0.25-1619.71030238384548.450958711786
0.26-1493.92857277132602.078587325873
0.27-1359.2556321552650.097555589662
0.28-1217.09729573565686.767617481052
0.29-1069.90930999075707.962731689384
0.3-920.826014683304711.683812102781
0.31-773.208397770571698.225098341011
0.32-630.196707240154669.922454208414
0.33-494.343433105616630.619965024313
0.34-367.378095503521584.943798287524
0.35-250.123163649728537.568742128607
0.36-142.549098459933492.581030294428
0.37-43.9331093052449453.041395650708
0.3846.9253212796515420.78069024071
0.39131.478589871368396.421629224406
0.4211.231577006244379.595336191911
0.41287.591066471222369.277067103762
0.42361.771576176167364.141286937746
0.43434.753298779583362.847724992846
0.44507.280385056591364.220290023374
0.45579.884833375503367.313455265734
0.46652.921845197717371.4143989073
0.47726.60535295835375.989082599801
0.48801.036295992115380.615760225148
0.49876.220219677433384.919687156136
0.5952.074366338915388.506709792942
0.511028.42731550512390.939164749525
0.521105.01620856973391.733072061217
0.531181.48745939642390.384586165717
0.541257.40644072536386.452626793467
0.551332.2799215907379.624792301105
0.561405.59225515768369.820707036283
0.571476.85303833519357.250707229891
0.581545.65097898548342.438597177442
0.591611.70683607446326.205501216198
0.61674.91812863518309.597702332198
0.611735.38997558458293.793873695553
0.621793.449539889279.997566062073
0.631849.6452936795269.343580750873
0.641904.73569857165262.826130547199
0.651959.67401549147261.292204983003
0.662015.5962680051265.455030203368
0.672073.81777295065275.971017505974
0.682135.8404021133293.493268107584
0.692203.36834005072318.753721809037
0.72278.32504785497352.529215760553
0.712362.85882046211395.582224163324
0.722459.31917324094448.496057618922
0.732570.18224906088511.442671491637
0.742697.90251810272583.83454247945
0.752844.67357838376663.94141359049
0.763012.09670384618748.483799672416
0.773200.78404276671832.410756598175
0.783409.96110767954909.019382287934
0.793637.16973603908970.562647319534
0.83878.190129024411009.46388252912
0.814127.279625059481019.8498182962
0.824377.75667943845999.135000956689
0.834622.85194602073949.010609639231
0.844856.64029211518875.456679656301
0.855074.80975781334787.541860256409
0.865275.06009668326695.294433131089
0.875457.06271213006607.279457147163
0.885622.11035026198528.918471112674
0.895772.75014790555462.419461390628
0.95912.73440627458408.637722935924
0.916047.49166085632369.906708226857
0.926185.04800776444352.093574320573
0.936337.06772078437363.623465349513
0.946519.86081964142410.182884686448
0.956756.70873944089489.27672039726
0.967085.68744151774596.685756664219
0.977573.42312546805763.053794422389
0.988300.770209906081099.16171928399
0.999226.64987932121664.24054936813

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -6375.31961787412 & 1824.80657112202 \tabularnewline
0.02 & -5413.59801379227 & 1071.16666842083 \tabularnewline
0.03 & -4724.97594961493 & 594.171124906061 \tabularnewline
0.04 & -4321.71011273133 & 397.013461424122 \tabularnewline
0.05 & -4078.96139356204 & 341.869206129807 \tabularnewline
0.06 & -3905.62274339693 & 330.245325867442 \tabularnewline
0.07 & -3760.30002644251 & 329.970326006631 \tabularnewline
0.08 & -3627.22122132724 & 337.437920453587 \tabularnewline
0.09 & -3499.60740839774 & 354.047242973454 \tabularnewline
0.1 & -3373.47181759616 & 378.163097516823 \tabularnewline
0.11 & -3246.30002144564 & 405.201822374469 \tabularnewline
0.12 & -3117.02777190751 & 430.15387622635 \tabularnewline
0.13 & -2985.97629569456 & 449.161355326025 \tabularnewline
0.14 & -2854.51565030555 & 459.938747517028 \tabularnewline
0.15 & -2724.58321273444 & 461.607790609738 \tabularnewline
0.16 & -2598.19573787116 & 454.604550497413 \tabularnewline
0.17 & -2477.0185573047 & 440.797462577468 \tabularnewline
0.18 & -2362.01261413404 & 423.532587490323 \tabularnewline
0.19 & -2253.18334388402 & 407.478890439438 \tabularnewline
0.2 & -2149.47189235911 & 398.075665201413 \tabularnewline
0.21 & -2048.8273219855 & 400.407345014422 \tabularnewline
0.22 & -1948.46984850528 & 417.769134211301 \tabularnewline
0.23 & -1845.31144119587 & 450.500331652516 \tabularnewline
0.24 & -1736.45991442701 & 495.786502134255 \tabularnewline
0.25 & -1619.71030238384 & 548.450958711786 \tabularnewline
0.26 & -1493.92857277132 & 602.078587325873 \tabularnewline
0.27 & -1359.2556321552 & 650.097555589662 \tabularnewline
0.28 & -1217.09729573565 & 686.767617481052 \tabularnewline
0.29 & -1069.90930999075 & 707.962731689384 \tabularnewline
0.3 & -920.826014683304 & 711.683812102781 \tabularnewline
0.31 & -773.208397770571 & 698.225098341011 \tabularnewline
0.32 & -630.196707240154 & 669.922454208414 \tabularnewline
0.33 & -494.343433105616 & 630.619965024313 \tabularnewline
0.34 & -367.378095503521 & 584.943798287524 \tabularnewline
0.35 & -250.123163649728 & 537.568742128607 \tabularnewline
0.36 & -142.549098459933 & 492.581030294428 \tabularnewline
0.37 & -43.9331093052449 & 453.041395650708 \tabularnewline
0.38 & 46.9253212796515 & 420.78069024071 \tabularnewline
0.39 & 131.478589871368 & 396.421629224406 \tabularnewline
0.4 & 211.231577006244 & 379.595336191911 \tabularnewline
0.41 & 287.591066471222 & 369.277067103762 \tabularnewline
0.42 & 361.771576176167 & 364.141286937746 \tabularnewline
0.43 & 434.753298779583 & 362.847724992846 \tabularnewline
0.44 & 507.280385056591 & 364.220290023374 \tabularnewline
0.45 & 579.884833375503 & 367.313455265734 \tabularnewline
0.46 & 652.921845197717 & 371.4143989073 \tabularnewline
0.47 & 726.60535295835 & 375.989082599801 \tabularnewline
0.48 & 801.036295992115 & 380.615760225148 \tabularnewline
0.49 & 876.220219677433 & 384.919687156136 \tabularnewline
0.5 & 952.074366338915 & 388.506709792942 \tabularnewline
0.51 & 1028.42731550512 & 390.939164749525 \tabularnewline
0.52 & 1105.01620856973 & 391.733072061217 \tabularnewline
0.53 & 1181.48745939642 & 390.384586165717 \tabularnewline
0.54 & 1257.40644072536 & 386.452626793467 \tabularnewline
0.55 & 1332.2799215907 & 379.624792301105 \tabularnewline
0.56 & 1405.59225515768 & 369.820707036283 \tabularnewline
0.57 & 1476.85303833519 & 357.250707229891 \tabularnewline
0.58 & 1545.65097898548 & 342.438597177442 \tabularnewline
0.59 & 1611.70683607446 & 326.205501216198 \tabularnewline
0.6 & 1674.91812863518 & 309.597702332198 \tabularnewline
0.61 & 1735.38997558458 & 293.793873695553 \tabularnewline
0.62 & 1793.449539889 & 279.997566062073 \tabularnewline
0.63 & 1849.6452936795 & 269.343580750873 \tabularnewline
0.64 & 1904.73569857165 & 262.826130547199 \tabularnewline
0.65 & 1959.67401549147 & 261.292204983003 \tabularnewline
0.66 & 2015.5962680051 & 265.455030203368 \tabularnewline
0.67 & 2073.81777295065 & 275.971017505974 \tabularnewline
0.68 & 2135.8404021133 & 293.493268107584 \tabularnewline
0.69 & 2203.36834005072 & 318.753721809037 \tabularnewline
0.7 & 2278.32504785497 & 352.529215760553 \tabularnewline
0.71 & 2362.85882046211 & 395.582224163324 \tabularnewline
0.72 & 2459.31917324094 & 448.496057618922 \tabularnewline
0.73 & 2570.18224906088 & 511.442671491637 \tabularnewline
0.74 & 2697.90251810272 & 583.83454247945 \tabularnewline
0.75 & 2844.67357838376 & 663.94141359049 \tabularnewline
0.76 & 3012.09670384618 & 748.483799672416 \tabularnewline
0.77 & 3200.78404276671 & 832.410756598175 \tabularnewline
0.78 & 3409.96110767954 & 909.019382287934 \tabularnewline
0.79 & 3637.16973603908 & 970.562647319534 \tabularnewline
0.8 & 3878.19012902441 & 1009.46388252912 \tabularnewline
0.81 & 4127.27962505948 & 1019.8498182962 \tabularnewline
0.82 & 4377.75667943845 & 999.135000956689 \tabularnewline
0.83 & 4622.85194602073 & 949.010609639231 \tabularnewline
0.84 & 4856.64029211518 & 875.456679656301 \tabularnewline
0.85 & 5074.80975781334 & 787.541860256409 \tabularnewline
0.86 & 5275.06009668326 & 695.294433131089 \tabularnewline
0.87 & 5457.06271213006 & 607.279457147163 \tabularnewline
0.88 & 5622.11035026198 & 528.918471112674 \tabularnewline
0.89 & 5772.75014790555 & 462.419461390628 \tabularnewline
0.9 & 5912.73440627458 & 408.637722935924 \tabularnewline
0.91 & 6047.49166085632 & 369.906708226857 \tabularnewline
0.92 & 6185.04800776444 & 352.093574320573 \tabularnewline
0.93 & 6337.06772078437 & 363.623465349513 \tabularnewline
0.94 & 6519.86081964142 & 410.182884686448 \tabularnewline
0.95 & 6756.70873944089 & 489.27672039726 \tabularnewline
0.96 & 7085.68744151774 & 596.685756664219 \tabularnewline
0.97 & 7573.42312546805 & 763.053794422389 \tabularnewline
0.98 & 8300.77020990608 & 1099.16171928399 \tabularnewline
0.99 & 9226.6498793212 & 1664.24054936813 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239043&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]-6375.31961787412[/C][C]1824.80657112202[/C][/ROW]
[ROW][C]0.02[/C][C]-5413.59801379227[/C][C]1071.16666842083[/C][/ROW]
[ROW][C]0.03[/C][C]-4724.97594961493[/C][C]594.171124906061[/C][/ROW]
[ROW][C]0.04[/C][C]-4321.71011273133[/C][C]397.013461424122[/C][/ROW]
[ROW][C]0.05[/C][C]-4078.96139356204[/C][C]341.869206129807[/C][/ROW]
[ROW][C]0.06[/C][C]-3905.62274339693[/C][C]330.245325867442[/C][/ROW]
[ROW][C]0.07[/C][C]-3760.30002644251[/C][C]329.970326006631[/C][/ROW]
[ROW][C]0.08[/C][C]-3627.22122132724[/C][C]337.437920453587[/C][/ROW]
[ROW][C]0.09[/C][C]-3499.60740839774[/C][C]354.047242973454[/C][/ROW]
[ROW][C]0.1[/C][C]-3373.47181759616[/C][C]378.163097516823[/C][/ROW]
[ROW][C]0.11[/C][C]-3246.30002144564[/C][C]405.201822374469[/C][/ROW]
[ROW][C]0.12[/C][C]-3117.02777190751[/C][C]430.15387622635[/C][/ROW]
[ROW][C]0.13[/C][C]-2985.97629569456[/C][C]449.161355326025[/C][/ROW]
[ROW][C]0.14[/C][C]-2854.51565030555[/C][C]459.938747517028[/C][/ROW]
[ROW][C]0.15[/C][C]-2724.58321273444[/C][C]461.607790609738[/C][/ROW]
[ROW][C]0.16[/C][C]-2598.19573787116[/C][C]454.604550497413[/C][/ROW]
[ROW][C]0.17[/C][C]-2477.0185573047[/C][C]440.797462577468[/C][/ROW]
[ROW][C]0.18[/C][C]-2362.01261413404[/C][C]423.532587490323[/C][/ROW]
[ROW][C]0.19[/C][C]-2253.18334388402[/C][C]407.478890439438[/C][/ROW]
[ROW][C]0.2[/C][C]-2149.47189235911[/C][C]398.075665201413[/C][/ROW]
[ROW][C]0.21[/C][C]-2048.8273219855[/C][C]400.407345014422[/C][/ROW]
[ROW][C]0.22[/C][C]-1948.46984850528[/C][C]417.769134211301[/C][/ROW]
[ROW][C]0.23[/C][C]-1845.31144119587[/C][C]450.500331652516[/C][/ROW]
[ROW][C]0.24[/C][C]-1736.45991442701[/C][C]495.786502134255[/C][/ROW]
[ROW][C]0.25[/C][C]-1619.71030238384[/C][C]548.450958711786[/C][/ROW]
[ROW][C]0.26[/C][C]-1493.92857277132[/C][C]602.078587325873[/C][/ROW]
[ROW][C]0.27[/C][C]-1359.2556321552[/C][C]650.097555589662[/C][/ROW]
[ROW][C]0.28[/C][C]-1217.09729573565[/C][C]686.767617481052[/C][/ROW]
[ROW][C]0.29[/C][C]-1069.90930999075[/C][C]707.962731689384[/C][/ROW]
[ROW][C]0.3[/C][C]-920.826014683304[/C][C]711.683812102781[/C][/ROW]
[ROW][C]0.31[/C][C]-773.208397770571[/C][C]698.225098341011[/C][/ROW]
[ROW][C]0.32[/C][C]-630.196707240154[/C][C]669.922454208414[/C][/ROW]
[ROW][C]0.33[/C][C]-494.343433105616[/C][C]630.619965024313[/C][/ROW]
[ROW][C]0.34[/C][C]-367.378095503521[/C][C]584.943798287524[/C][/ROW]
[ROW][C]0.35[/C][C]-250.123163649728[/C][C]537.568742128607[/C][/ROW]
[ROW][C]0.36[/C][C]-142.549098459933[/C][C]492.581030294428[/C][/ROW]
[ROW][C]0.37[/C][C]-43.9331093052449[/C][C]453.041395650708[/C][/ROW]
[ROW][C]0.38[/C][C]46.9253212796515[/C][C]420.78069024071[/C][/ROW]
[ROW][C]0.39[/C][C]131.478589871368[/C][C]396.421629224406[/C][/ROW]
[ROW][C]0.4[/C][C]211.231577006244[/C][C]379.595336191911[/C][/ROW]
[ROW][C]0.41[/C][C]287.591066471222[/C][C]369.277067103762[/C][/ROW]
[ROW][C]0.42[/C][C]361.771576176167[/C][C]364.141286937746[/C][/ROW]
[ROW][C]0.43[/C][C]434.753298779583[/C][C]362.847724992846[/C][/ROW]
[ROW][C]0.44[/C][C]507.280385056591[/C][C]364.220290023374[/C][/ROW]
[ROW][C]0.45[/C][C]579.884833375503[/C][C]367.313455265734[/C][/ROW]
[ROW][C]0.46[/C][C]652.921845197717[/C][C]371.4143989073[/C][/ROW]
[ROW][C]0.47[/C][C]726.60535295835[/C][C]375.989082599801[/C][/ROW]
[ROW][C]0.48[/C][C]801.036295992115[/C][C]380.615760225148[/C][/ROW]
[ROW][C]0.49[/C][C]876.220219677433[/C][C]384.919687156136[/C][/ROW]
[ROW][C]0.5[/C][C]952.074366338915[/C][C]388.506709792942[/C][/ROW]
[ROW][C]0.51[/C][C]1028.42731550512[/C][C]390.939164749525[/C][/ROW]
[ROW][C]0.52[/C][C]1105.01620856973[/C][C]391.733072061217[/C][/ROW]
[ROW][C]0.53[/C][C]1181.48745939642[/C][C]390.384586165717[/C][/ROW]
[ROW][C]0.54[/C][C]1257.40644072536[/C][C]386.452626793467[/C][/ROW]
[ROW][C]0.55[/C][C]1332.2799215907[/C][C]379.624792301105[/C][/ROW]
[ROW][C]0.56[/C][C]1405.59225515768[/C][C]369.820707036283[/C][/ROW]
[ROW][C]0.57[/C][C]1476.85303833519[/C][C]357.250707229891[/C][/ROW]
[ROW][C]0.58[/C][C]1545.65097898548[/C][C]342.438597177442[/C][/ROW]
[ROW][C]0.59[/C][C]1611.70683607446[/C][C]326.205501216198[/C][/ROW]
[ROW][C]0.6[/C][C]1674.91812863518[/C][C]309.597702332198[/C][/ROW]
[ROW][C]0.61[/C][C]1735.38997558458[/C][C]293.793873695553[/C][/ROW]
[ROW][C]0.62[/C][C]1793.449539889[/C][C]279.997566062073[/C][/ROW]
[ROW][C]0.63[/C][C]1849.6452936795[/C][C]269.343580750873[/C][/ROW]
[ROW][C]0.64[/C][C]1904.73569857165[/C][C]262.826130547199[/C][/ROW]
[ROW][C]0.65[/C][C]1959.67401549147[/C][C]261.292204983003[/C][/ROW]
[ROW][C]0.66[/C][C]2015.5962680051[/C][C]265.455030203368[/C][/ROW]
[ROW][C]0.67[/C][C]2073.81777295065[/C][C]275.971017505974[/C][/ROW]
[ROW][C]0.68[/C][C]2135.8404021133[/C][C]293.493268107584[/C][/ROW]
[ROW][C]0.69[/C][C]2203.36834005072[/C][C]318.753721809037[/C][/ROW]
[ROW][C]0.7[/C][C]2278.32504785497[/C][C]352.529215760553[/C][/ROW]
[ROW][C]0.71[/C][C]2362.85882046211[/C][C]395.582224163324[/C][/ROW]
[ROW][C]0.72[/C][C]2459.31917324094[/C][C]448.496057618922[/C][/ROW]
[ROW][C]0.73[/C][C]2570.18224906088[/C][C]511.442671491637[/C][/ROW]
[ROW][C]0.74[/C][C]2697.90251810272[/C][C]583.83454247945[/C][/ROW]
[ROW][C]0.75[/C][C]2844.67357838376[/C][C]663.94141359049[/C][/ROW]
[ROW][C]0.76[/C][C]3012.09670384618[/C][C]748.483799672416[/C][/ROW]
[ROW][C]0.77[/C][C]3200.78404276671[/C][C]832.410756598175[/C][/ROW]
[ROW][C]0.78[/C][C]3409.96110767954[/C][C]909.019382287934[/C][/ROW]
[ROW][C]0.79[/C][C]3637.16973603908[/C][C]970.562647319534[/C][/ROW]
[ROW][C]0.8[/C][C]3878.19012902441[/C][C]1009.46388252912[/C][/ROW]
[ROW][C]0.81[/C][C]4127.27962505948[/C][C]1019.8498182962[/C][/ROW]
[ROW][C]0.82[/C][C]4377.75667943845[/C][C]999.135000956689[/C][/ROW]
[ROW][C]0.83[/C][C]4622.85194602073[/C][C]949.010609639231[/C][/ROW]
[ROW][C]0.84[/C][C]4856.64029211518[/C][C]875.456679656301[/C][/ROW]
[ROW][C]0.85[/C][C]5074.80975781334[/C][C]787.541860256409[/C][/ROW]
[ROW][C]0.86[/C][C]5275.06009668326[/C][C]695.294433131089[/C][/ROW]
[ROW][C]0.87[/C][C]5457.06271213006[/C][C]607.279457147163[/C][/ROW]
[ROW][C]0.88[/C][C]5622.11035026198[/C][C]528.918471112674[/C][/ROW]
[ROW][C]0.89[/C][C]5772.75014790555[/C][C]462.419461390628[/C][/ROW]
[ROW][C]0.9[/C][C]5912.73440627458[/C][C]408.637722935924[/C][/ROW]
[ROW][C]0.91[/C][C]6047.49166085632[/C][C]369.906708226857[/C][/ROW]
[ROW][C]0.92[/C][C]6185.04800776444[/C][C]352.093574320573[/C][/ROW]
[ROW][C]0.93[/C][C]6337.06772078437[/C][C]363.623465349513[/C][/ROW]
[ROW][C]0.94[/C][C]6519.86081964142[/C][C]410.182884686448[/C][/ROW]
[ROW][C]0.95[/C][C]6756.70873944089[/C][C]489.27672039726[/C][/ROW]
[ROW][C]0.96[/C][C]7085.68744151774[/C][C]596.685756664219[/C][/ROW]
[ROW][C]0.97[/C][C]7573.42312546805[/C][C]763.053794422389[/C][/ROW]
[ROW][C]0.98[/C][C]8300.77020990608[/C][C]1099.16171928399[/C][/ROW]
[ROW][C]0.99[/C][C]9226.6498793212[/C][C]1664.24054936813[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239043&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239043&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
0.01-6375.319617874121824.80657112202
0.02-5413.598013792271071.16666842083
0.03-4724.97594961493594.171124906061
0.04-4321.71011273133397.013461424122
0.05-4078.96139356204341.869206129807
0.06-3905.62274339693330.245325867442
0.07-3760.30002644251329.970326006631
0.08-3627.22122132724337.437920453587
0.09-3499.60740839774354.047242973454
0.1-3373.47181759616378.163097516823
0.11-3246.30002144564405.201822374469
0.12-3117.02777190751430.15387622635
0.13-2985.97629569456449.161355326025
0.14-2854.51565030555459.938747517028
0.15-2724.58321273444461.607790609738
0.16-2598.19573787116454.604550497413
0.17-2477.0185573047440.797462577468
0.18-2362.01261413404423.532587490323
0.19-2253.18334388402407.478890439438
0.2-2149.47189235911398.075665201413
0.21-2048.8273219855400.407345014422
0.22-1948.46984850528417.769134211301
0.23-1845.31144119587450.500331652516
0.24-1736.45991442701495.786502134255
0.25-1619.71030238384548.450958711786
0.26-1493.92857277132602.078587325873
0.27-1359.2556321552650.097555589662
0.28-1217.09729573565686.767617481052
0.29-1069.90930999075707.962731689384
0.3-920.826014683304711.683812102781
0.31-773.208397770571698.225098341011
0.32-630.196707240154669.922454208414
0.33-494.343433105616630.619965024313
0.34-367.378095503521584.943798287524
0.35-250.123163649728537.568742128607
0.36-142.549098459933492.581030294428
0.37-43.9331093052449453.041395650708
0.3846.9253212796515420.78069024071
0.39131.478589871368396.421629224406
0.4211.231577006244379.595336191911
0.41287.591066471222369.277067103762
0.42361.771576176167364.141286937746
0.43434.753298779583362.847724992846
0.44507.280385056591364.220290023374
0.45579.884833375503367.313455265734
0.46652.921845197717371.4143989073
0.47726.60535295835375.989082599801
0.48801.036295992115380.615760225148
0.49876.220219677433384.919687156136
0.5952.074366338915388.506709792942
0.511028.42731550512390.939164749525
0.521105.01620856973391.733072061217
0.531181.48745939642390.384586165717
0.541257.40644072536386.452626793467
0.551332.2799215907379.624792301105
0.561405.59225515768369.820707036283
0.571476.85303833519357.250707229891
0.581545.65097898548342.438597177442
0.591611.70683607446326.205501216198
0.61674.91812863518309.597702332198
0.611735.38997558458293.793873695553
0.621793.449539889279.997566062073
0.631849.6452936795269.343580750873
0.641904.73569857165262.826130547199
0.651959.67401549147261.292204983003
0.662015.5962680051265.455030203368
0.672073.81777295065275.971017505974
0.682135.8404021133293.493268107584
0.692203.36834005072318.753721809037
0.72278.32504785497352.529215760553
0.712362.85882046211395.582224163324
0.722459.31917324094448.496057618922
0.732570.18224906088511.442671491637
0.742697.90251810272583.83454247945
0.752844.67357838376663.94141359049
0.763012.09670384618748.483799672416
0.773200.78404276671832.410756598175
0.783409.96110767954909.019382287934
0.793637.16973603908970.562647319534
0.83878.190129024411009.46388252912
0.814127.279625059481019.8498182962
0.824377.75667943845999.135000956689
0.834622.85194602073949.010609639231
0.844856.64029211518875.456679656301
0.855074.80975781334787.541860256409
0.865275.06009668326695.294433131089
0.875457.06271213006607.279457147163
0.885622.11035026198528.918471112674
0.895772.75014790555462.419461390628
0.95912.73440627458408.637722935924
0.916047.49166085632369.906708226857
0.926185.04800776444352.093574320573
0.936337.06772078437363.623465349513
0.946519.86081964142410.182884686448
0.956756.70873944089489.27672039726
0.967085.68744151774596.685756664219
0.977573.42312546805763.053794422389
0.988300.770209906081099.16171928399
0.999226.64987932121664.24054936813


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')