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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, 29 Feb 2016 17:06:03 +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/29/t14567656692w3xof0jemehpba.htm/, Retrieved Tue, 30 Apr 2024 09:59:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293014, Retrieved Tue, 30 Apr 2024 09:59:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact65

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] [Uitvoer België] [2016-02-29 17:06:03] [30ac29e28bcab64021946a7872e1db5d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13566.7
13941.5
14964.1
14086
13505.1
15300.4
14725.2
12484.9
16082.6
15915.8
15916.1
15713
14746
15253.2
18384.3
16848.5
16485.5
19257.1
17093.4
15700.1
19124.3
18640.8
18439.2
17106.3
18347.7
19372.7
22263.8
19422.9
21268.6
20310
19256
17535.9
19857.4
19628.4
19727.5
18112.2
18889.3
20516.1
22317
19768.8
20015.8
20260.5
19434.3
17910
19134.4
20880.1
19680
17493.4
19087.8
19064.6
21191
20503.9
20364.1
19860.4
20924.1
17018.8
20607.4
21500.2
19868.3
18801.9
19787.5
19936.2
21047.6
21034.4
20132.8
20725.3
20827.8
16992.3
21818.2
21841.4
19252.2
17933.7

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293014&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293014&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293014&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 time1 seconds
R Server'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0112756.3262619659795.271104017253
0.0213120.6832558233560.253142923256
0.0313449.1434833689438.787707794424
0.0413714.4622876189434.478208046681
0.0513939.0135719085472.909614483085
0.0614145.1843680266506.753865601387
0.0714342.250432021522.681334056352
0.0814530.9861297924522.588566202169
0.0914709.8061649364513.599988323911
0.114877.8246587851502.597812412029
0.1115035.4860375222493.755345633202
0.1215184.1748514574488.56178009
0.1315325.6744888589487.188437952013
0.1415461.8041264444489.688639252211
0.1515594.2523636545496.38030240264
0.1615724.5097917271507.388609996724
0.1715853.8099058769522.123871996684
0.1815983.0471673876538.988686048009
0.1916112.6965451029555.610314464984
0.216242.7812903662569.559657388299
0.2116372.9228802146578.988873918915
0.2216502.4740887183583.106829532662
0.2316630.7028556745582.376123257426
0.2416756.9760420937578.238688282184
0.2516880.8939656255572.715187582509
0.2617002.345331642567.687602402262
0.2717121.4786594769564.416093320793
0.2817238.6103200603563.36796823325
0.2917354.1034440429564.122363488228
0.317468.2536076944565.589827690367
0.3117581.2083393125566.509924028361
0.3217692.9329738797565.801340049397
0.3317803.2207020647562.561649116228
0.3417911.7340392099556.409061175027
0.3518018.0603781932547.311687714574
0.3618121.7655409676535.439523531564
0.3718222.4344858131521.180698836774
0.3818319.6951031743504.85560890769
0.3918413.2270974289486.754694377849
0.418502.7618193434467.10457370841
0.4118588.0800480957446.104154788982
0.4218669.0134309527423.880890499307
0.4318745.4524411206400.800743658035
0.4418817.360392522377.143784363648
0.4518884.7902405729353.572528111306
0.4618947.8992745699330.701480285905
0.4719006.9566362862309.31427491434
0.4819062.3397584391290.086737882573
0.4919114.5178999926273.637253675096
0.519164.0234212939260.381247890299
0.5119211.4137587278250.433464110237
0.5219257.2288100081243.602692686921
0.5319301.9493794297239.355327790767
0.5419345.9623774154237.056568500325
0.5519389.537675558235.830072883502
0.5619432.8200340403234.883272484052
0.5719475.8375464883233.492173137382
0.5819518.5258274248231.155738789776
0.5919560.7649636377227.644187596867
0.619602.4243404687222.999380736249
0.6119643.4091077801217.548524256042
0.6219683.7014999016211.875758889033
0.6319723.3906228943206.731024208769
0.6419762.6857088299202.9141320451
0.6519801.910104356201.124248051603
0.6619841.4761483578201.869654747343
0.6719881.8441954176205.341136667613
0.6819923.4718458447211.327395421428
0.6919966.7614001157219.194900362751
0.720012.0141810907228.217200223003
0.7120059.3993649932237.451789877139
0.7220108.9423437199246.009411585062
0.7320160.5338036845253.214192764341
0.7420213.9564242328258.556005721705
0.7520268.9224002421261.857880937886
0.7620325.1129272888263.162642059983
0.7720382.2111179047262.643120165387
0.7820439.9227314183260.60816878309
0.7920497.9840308711257.294108659759
0.820556.1617414847252.807593557773
0.8120614.254764187247.255083573024
0.8220672.1093702732240.684339801013
0.8320729.658091647233.325991139932
0.8420786.9874200333225.674618076017
0.8520844.4315187735218.642437906786
0.8620902.6792618528213.516346705075
0.8720962.8701729786211.970243054607
0.8821026.6412204373215.71319921231
0.8921096.0742284807226.05469145698
0.921173.4955533186243.180226136843
0.9121261.119585426265.430353274324
0.9221360.6225826648288.957651200036
0.9321472.840761553308.478694242887
0.9421597.7469726834319.548289750826
0.9521734.4631284069321.31848535011
0.9621880.4067320033315.368571859756
0.9722028.6462468988295.451000816849
0.9822164.5446212946240.268934558775
0.9922266.5378125751140.318491473094

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 12756.3262619659 & 795.271104017253 \tabularnewline
0.02 & 13120.6832558233 & 560.253142923256 \tabularnewline
0.03 & 13449.1434833689 & 438.787707794424 \tabularnewline
0.04 & 13714.4622876189 & 434.478208046681 \tabularnewline
0.05 & 13939.0135719085 & 472.909614483085 \tabularnewline
0.06 & 14145.1843680266 & 506.753865601387 \tabularnewline
0.07 & 14342.250432021 & 522.681334056352 \tabularnewline
0.08 & 14530.9861297924 & 522.588566202169 \tabularnewline
0.09 & 14709.8061649364 & 513.599988323911 \tabularnewline
0.1 & 14877.8246587851 & 502.597812412029 \tabularnewline
0.11 & 15035.4860375222 & 493.755345633202 \tabularnewline
0.12 & 15184.1748514574 & 488.56178009 \tabularnewline
0.13 & 15325.6744888589 & 487.188437952013 \tabularnewline
0.14 & 15461.8041264444 & 489.688639252211 \tabularnewline
0.15 & 15594.2523636545 & 496.38030240264 \tabularnewline
0.16 & 15724.5097917271 & 507.388609996724 \tabularnewline
0.17 & 15853.8099058769 & 522.123871996684 \tabularnewline
0.18 & 15983.0471673876 & 538.988686048009 \tabularnewline
0.19 & 16112.6965451029 & 555.610314464984 \tabularnewline
0.2 & 16242.7812903662 & 569.559657388299 \tabularnewline
0.21 & 16372.9228802146 & 578.988873918915 \tabularnewline
0.22 & 16502.4740887183 & 583.106829532662 \tabularnewline
0.23 & 16630.7028556745 & 582.376123257426 \tabularnewline
0.24 & 16756.9760420937 & 578.238688282184 \tabularnewline
0.25 & 16880.8939656255 & 572.715187582509 \tabularnewline
0.26 & 17002.345331642 & 567.687602402262 \tabularnewline
0.27 & 17121.4786594769 & 564.416093320793 \tabularnewline
0.28 & 17238.6103200603 & 563.36796823325 \tabularnewline
0.29 & 17354.1034440429 & 564.122363488228 \tabularnewline
0.3 & 17468.2536076944 & 565.589827690367 \tabularnewline
0.31 & 17581.2083393125 & 566.509924028361 \tabularnewline
0.32 & 17692.9329738797 & 565.801340049397 \tabularnewline
0.33 & 17803.2207020647 & 562.561649116228 \tabularnewline
0.34 & 17911.7340392099 & 556.409061175027 \tabularnewline
0.35 & 18018.0603781932 & 547.311687714574 \tabularnewline
0.36 & 18121.7655409676 & 535.439523531564 \tabularnewline
0.37 & 18222.4344858131 & 521.180698836774 \tabularnewline
0.38 & 18319.6951031743 & 504.85560890769 \tabularnewline
0.39 & 18413.2270974289 & 486.754694377849 \tabularnewline
0.4 & 18502.7618193434 & 467.10457370841 \tabularnewline
0.41 & 18588.0800480957 & 446.104154788982 \tabularnewline
0.42 & 18669.0134309527 & 423.880890499307 \tabularnewline
0.43 & 18745.4524411206 & 400.800743658035 \tabularnewline
0.44 & 18817.360392522 & 377.143784363648 \tabularnewline
0.45 & 18884.7902405729 & 353.572528111306 \tabularnewline
0.46 & 18947.8992745699 & 330.701480285905 \tabularnewline
0.47 & 19006.9566362862 & 309.31427491434 \tabularnewline
0.48 & 19062.3397584391 & 290.086737882573 \tabularnewline
0.49 & 19114.5178999926 & 273.637253675096 \tabularnewline
0.5 & 19164.0234212939 & 260.381247890299 \tabularnewline
0.51 & 19211.4137587278 & 250.433464110237 \tabularnewline
0.52 & 19257.2288100081 & 243.602692686921 \tabularnewline
0.53 & 19301.9493794297 & 239.355327790767 \tabularnewline
0.54 & 19345.9623774154 & 237.056568500325 \tabularnewline
0.55 & 19389.537675558 & 235.830072883502 \tabularnewline
0.56 & 19432.8200340403 & 234.883272484052 \tabularnewline
0.57 & 19475.8375464883 & 233.492173137382 \tabularnewline
0.58 & 19518.5258274248 & 231.155738789776 \tabularnewline
0.59 & 19560.7649636377 & 227.644187596867 \tabularnewline
0.6 & 19602.4243404687 & 222.999380736249 \tabularnewline
0.61 & 19643.4091077801 & 217.548524256042 \tabularnewline
0.62 & 19683.7014999016 & 211.875758889033 \tabularnewline
0.63 & 19723.3906228943 & 206.731024208769 \tabularnewline
0.64 & 19762.6857088299 & 202.9141320451 \tabularnewline
0.65 & 19801.910104356 & 201.124248051603 \tabularnewline
0.66 & 19841.4761483578 & 201.869654747343 \tabularnewline
0.67 & 19881.8441954176 & 205.341136667613 \tabularnewline
0.68 & 19923.4718458447 & 211.327395421428 \tabularnewline
0.69 & 19966.7614001157 & 219.194900362751 \tabularnewline
0.7 & 20012.0141810907 & 228.217200223003 \tabularnewline
0.71 & 20059.3993649932 & 237.451789877139 \tabularnewline
0.72 & 20108.9423437199 & 246.009411585062 \tabularnewline
0.73 & 20160.5338036845 & 253.214192764341 \tabularnewline
0.74 & 20213.9564242328 & 258.556005721705 \tabularnewline
0.75 & 20268.9224002421 & 261.857880937886 \tabularnewline
0.76 & 20325.1129272888 & 263.162642059983 \tabularnewline
0.77 & 20382.2111179047 & 262.643120165387 \tabularnewline
0.78 & 20439.9227314183 & 260.60816878309 \tabularnewline
0.79 & 20497.9840308711 & 257.294108659759 \tabularnewline
0.8 & 20556.1617414847 & 252.807593557773 \tabularnewline
0.81 & 20614.254764187 & 247.255083573024 \tabularnewline
0.82 & 20672.1093702732 & 240.684339801013 \tabularnewline
0.83 & 20729.658091647 & 233.325991139932 \tabularnewline
0.84 & 20786.9874200333 & 225.674618076017 \tabularnewline
0.85 & 20844.4315187735 & 218.642437906786 \tabularnewline
0.86 & 20902.6792618528 & 213.516346705075 \tabularnewline
0.87 & 20962.8701729786 & 211.970243054607 \tabularnewline
0.88 & 21026.6412204373 & 215.71319921231 \tabularnewline
0.89 & 21096.0742284807 & 226.05469145698 \tabularnewline
0.9 & 21173.4955533186 & 243.180226136843 \tabularnewline
0.91 & 21261.119585426 & 265.430353274324 \tabularnewline
0.92 & 21360.6225826648 & 288.957651200036 \tabularnewline
0.93 & 21472.840761553 & 308.478694242887 \tabularnewline
0.94 & 21597.7469726834 & 319.548289750826 \tabularnewline
0.95 & 21734.4631284069 & 321.31848535011 \tabularnewline
0.96 & 21880.4067320033 & 315.368571859756 \tabularnewline
0.97 & 22028.6462468988 & 295.451000816849 \tabularnewline
0.98 & 22164.5446212946 & 240.268934558775 \tabularnewline
0.99 & 22266.5378125751 & 140.318491473094 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293014&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]12756.3262619659[/C][C]795.271104017253[/C][/ROW]
[ROW][C]0.02[/C][C]13120.6832558233[/C][C]560.253142923256[/C][/ROW]
[ROW][C]0.03[/C][C]13449.1434833689[/C][C]438.787707794424[/C][/ROW]
[ROW][C]0.04[/C][C]13714.4622876189[/C][C]434.478208046681[/C][/ROW]
[ROW][C]0.05[/C][C]13939.0135719085[/C][C]472.909614483085[/C][/ROW]
[ROW][C]0.06[/C][C]14145.1843680266[/C][C]506.753865601387[/C][/ROW]
[ROW][C]0.07[/C][C]14342.250432021[/C][C]522.681334056352[/C][/ROW]
[ROW][C]0.08[/C][C]14530.9861297924[/C][C]522.588566202169[/C][/ROW]
[ROW][C]0.09[/C][C]14709.8061649364[/C][C]513.599988323911[/C][/ROW]
[ROW][C]0.1[/C][C]14877.8246587851[/C][C]502.597812412029[/C][/ROW]
[ROW][C]0.11[/C][C]15035.4860375222[/C][C]493.755345633202[/C][/ROW]
[ROW][C]0.12[/C][C]15184.1748514574[/C][C]488.56178009[/C][/ROW]
[ROW][C]0.13[/C][C]15325.6744888589[/C][C]487.188437952013[/C][/ROW]
[ROW][C]0.14[/C][C]15461.8041264444[/C][C]489.688639252211[/C][/ROW]
[ROW][C]0.15[/C][C]15594.2523636545[/C][C]496.38030240264[/C][/ROW]
[ROW][C]0.16[/C][C]15724.5097917271[/C][C]507.388609996724[/C][/ROW]
[ROW][C]0.17[/C][C]15853.8099058769[/C][C]522.123871996684[/C][/ROW]
[ROW][C]0.18[/C][C]15983.0471673876[/C][C]538.988686048009[/C][/ROW]
[ROW][C]0.19[/C][C]16112.6965451029[/C][C]555.610314464984[/C][/ROW]
[ROW][C]0.2[/C][C]16242.7812903662[/C][C]569.559657388299[/C][/ROW]
[ROW][C]0.21[/C][C]16372.9228802146[/C][C]578.988873918915[/C][/ROW]
[ROW][C]0.22[/C][C]16502.4740887183[/C][C]583.106829532662[/C][/ROW]
[ROW][C]0.23[/C][C]16630.7028556745[/C][C]582.376123257426[/C][/ROW]
[ROW][C]0.24[/C][C]16756.9760420937[/C][C]578.238688282184[/C][/ROW]
[ROW][C]0.25[/C][C]16880.8939656255[/C][C]572.715187582509[/C][/ROW]
[ROW][C]0.26[/C][C]17002.345331642[/C][C]567.687602402262[/C][/ROW]
[ROW][C]0.27[/C][C]17121.4786594769[/C][C]564.416093320793[/C][/ROW]
[ROW][C]0.28[/C][C]17238.6103200603[/C][C]563.36796823325[/C][/ROW]
[ROW][C]0.29[/C][C]17354.1034440429[/C][C]564.122363488228[/C][/ROW]
[ROW][C]0.3[/C][C]17468.2536076944[/C][C]565.589827690367[/C][/ROW]
[ROW][C]0.31[/C][C]17581.2083393125[/C][C]566.509924028361[/C][/ROW]
[ROW][C]0.32[/C][C]17692.9329738797[/C][C]565.801340049397[/C][/ROW]
[ROW][C]0.33[/C][C]17803.2207020647[/C][C]562.561649116228[/C][/ROW]
[ROW][C]0.34[/C][C]17911.7340392099[/C][C]556.409061175027[/C][/ROW]
[ROW][C]0.35[/C][C]18018.0603781932[/C][C]547.311687714574[/C][/ROW]
[ROW][C]0.36[/C][C]18121.7655409676[/C][C]535.439523531564[/C][/ROW]
[ROW][C]0.37[/C][C]18222.4344858131[/C][C]521.180698836774[/C][/ROW]
[ROW][C]0.38[/C][C]18319.6951031743[/C][C]504.85560890769[/C][/ROW]
[ROW][C]0.39[/C][C]18413.2270974289[/C][C]486.754694377849[/C][/ROW]
[ROW][C]0.4[/C][C]18502.7618193434[/C][C]467.10457370841[/C][/ROW]
[ROW][C]0.41[/C][C]18588.0800480957[/C][C]446.104154788982[/C][/ROW]
[ROW][C]0.42[/C][C]18669.0134309527[/C][C]423.880890499307[/C][/ROW]
[ROW][C]0.43[/C][C]18745.4524411206[/C][C]400.800743658035[/C][/ROW]
[ROW][C]0.44[/C][C]18817.360392522[/C][C]377.143784363648[/C][/ROW]
[ROW][C]0.45[/C][C]18884.7902405729[/C][C]353.572528111306[/C][/ROW]
[ROW][C]0.46[/C][C]18947.8992745699[/C][C]330.701480285905[/C][/ROW]
[ROW][C]0.47[/C][C]19006.9566362862[/C][C]309.31427491434[/C][/ROW]
[ROW][C]0.48[/C][C]19062.3397584391[/C][C]290.086737882573[/C][/ROW]
[ROW][C]0.49[/C][C]19114.5178999926[/C][C]273.637253675096[/C][/ROW]
[ROW][C]0.5[/C][C]19164.0234212939[/C][C]260.381247890299[/C][/ROW]
[ROW][C]0.51[/C][C]19211.4137587278[/C][C]250.433464110237[/C][/ROW]
[ROW][C]0.52[/C][C]19257.2288100081[/C][C]243.602692686921[/C][/ROW]
[ROW][C]0.53[/C][C]19301.9493794297[/C][C]239.355327790767[/C][/ROW]
[ROW][C]0.54[/C][C]19345.9623774154[/C][C]237.056568500325[/C][/ROW]
[ROW][C]0.55[/C][C]19389.537675558[/C][C]235.830072883502[/C][/ROW]
[ROW][C]0.56[/C][C]19432.8200340403[/C][C]234.883272484052[/C][/ROW]
[ROW][C]0.57[/C][C]19475.8375464883[/C][C]233.492173137382[/C][/ROW]
[ROW][C]0.58[/C][C]19518.5258274248[/C][C]231.155738789776[/C][/ROW]
[ROW][C]0.59[/C][C]19560.7649636377[/C][C]227.644187596867[/C][/ROW]
[ROW][C]0.6[/C][C]19602.4243404687[/C][C]222.999380736249[/C][/ROW]
[ROW][C]0.61[/C][C]19643.4091077801[/C][C]217.548524256042[/C][/ROW]
[ROW][C]0.62[/C][C]19683.7014999016[/C][C]211.875758889033[/C][/ROW]
[ROW][C]0.63[/C][C]19723.3906228943[/C][C]206.731024208769[/C][/ROW]
[ROW][C]0.64[/C][C]19762.6857088299[/C][C]202.9141320451[/C][/ROW]
[ROW][C]0.65[/C][C]19801.910104356[/C][C]201.124248051603[/C][/ROW]
[ROW][C]0.66[/C][C]19841.4761483578[/C][C]201.869654747343[/C][/ROW]
[ROW][C]0.67[/C][C]19881.8441954176[/C][C]205.341136667613[/C][/ROW]
[ROW][C]0.68[/C][C]19923.4718458447[/C][C]211.327395421428[/C][/ROW]
[ROW][C]0.69[/C][C]19966.7614001157[/C][C]219.194900362751[/C][/ROW]
[ROW][C]0.7[/C][C]20012.0141810907[/C][C]228.217200223003[/C][/ROW]
[ROW][C]0.71[/C][C]20059.3993649932[/C][C]237.451789877139[/C][/ROW]
[ROW][C]0.72[/C][C]20108.9423437199[/C][C]246.009411585062[/C][/ROW]
[ROW][C]0.73[/C][C]20160.5338036845[/C][C]253.214192764341[/C][/ROW]
[ROW][C]0.74[/C][C]20213.9564242328[/C][C]258.556005721705[/C][/ROW]
[ROW][C]0.75[/C][C]20268.9224002421[/C][C]261.857880937886[/C][/ROW]
[ROW][C]0.76[/C][C]20325.1129272888[/C][C]263.162642059983[/C][/ROW]
[ROW][C]0.77[/C][C]20382.2111179047[/C][C]262.643120165387[/C][/ROW]
[ROW][C]0.78[/C][C]20439.9227314183[/C][C]260.60816878309[/C][/ROW]
[ROW][C]0.79[/C][C]20497.9840308711[/C][C]257.294108659759[/C][/ROW]
[ROW][C]0.8[/C][C]20556.1617414847[/C][C]252.807593557773[/C][/ROW]
[ROW][C]0.81[/C][C]20614.254764187[/C][C]247.255083573024[/C][/ROW]
[ROW][C]0.82[/C][C]20672.1093702732[/C][C]240.684339801013[/C][/ROW]
[ROW][C]0.83[/C][C]20729.658091647[/C][C]233.325991139932[/C][/ROW]
[ROW][C]0.84[/C][C]20786.9874200333[/C][C]225.674618076017[/C][/ROW]
[ROW][C]0.85[/C][C]20844.4315187735[/C][C]218.642437906786[/C][/ROW]
[ROW][C]0.86[/C][C]20902.6792618528[/C][C]213.516346705075[/C][/ROW]
[ROW][C]0.87[/C][C]20962.8701729786[/C][C]211.970243054607[/C][/ROW]
[ROW][C]0.88[/C][C]21026.6412204373[/C][C]215.71319921231[/C][/ROW]
[ROW][C]0.89[/C][C]21096.0742284807[/C][C]226.05469145698[/C][/ROW]
[ROW][C]0.9[/C][C]21173.4955533186[/C][C]243.180226136843[/C][/ROW]
[ROW][C]0.91[/C][C]21261.119585426[/C][C]265.430353274324[/C][/ROW]
[ROW][C]0.92[/C][C]21360.6225826648[/C][C]288.957651200036[/C][/ROW]
[ROW][C]0.93[/C][C]21472.840761553[/C][C]308.478694242887[/C][/ROW]
[ROW][C]0.94[/C][C]21597.7469726834[/C][C]319.548289750826[/C][/ROW]
[ROW][C]0.95[/C][C]21734.4631284069[/C][C]321.31848535011[/C][/ROW]
[ROW][C]0.96[/C][C]21880.4067320033[/C][C]315.368571859756[/C][/ROW]
[ROW][C]0.97[/C][C]22028.6462468988[/C][C]295.451000816849[/C][/ROW]
[ROW][C]0.98[/C][C]22164.5446212946[/C][C]240.268934558775[/C][/ROW]
[ROW][C]0.99[/C][C]22266.5378125751[/C][C]140.318491473094[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293014&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293014&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
0.0112756.3262619659795.271104017253
0.0213120.6832558233560.253142923256
0.0313449.1434833689438.787707794424
0.0413714.4622876189434.478208046681
0.0513939.0135719085472.909614483085
0.0614145.1843680266506.753865601387
0.0714342.250432021522.681334056352
0.0814530.9861297924522.588566202169
0.0914709.8061649364513.599988323911
0.114877.8246587851502.597812412029
0.1115035.4860375222493.755345633202
0.1215184.1748514574488.56178009
0.1315325.6744888589487.188437952013
0.1415461.8041264444489.688639252211
0.1515594.2523636545496.38030240264
0.1615724.5097917271507.388609996724
0.1715853.8099058769522.123871996684
0.1815983.0471673876538.988686048009
0.1916112.6965451029555.610314464984
0.216242.7812903662569.559657388299
0.2116372.9228802146578.988873918915
0.2216502.4740887183583.106829532662
0.2316630.7028556745582.376123257426
0.2416756.9760420937578.238688282184
0.2516880.8939656255572.715187582509
0.2617002.345331642567.687602402262
0.2717121.4786594769564.416093320793
0.2817238.6103200603563.36796823325
0.2917354.1034440429564.122363488228
0.317468.2536076944565.589827690367
0.3117581.2083393125566.509924028361
0.3217692.9329738797565.801340049397
0.3317803.2207020647562.561649116228
0.3417911.7340392099556.409061175027
0.3518018.0603781932547.311687714574
0.3618121.7655409676535.439523531564
0.3718222.4344858131521.180698836774
0.3818319.6951031743504.85560890769
0.3918413.2270974289486.754694377849
0.418502.7618193434467.10457370841
0.4118588.0800480957446.104154788982
0.4218669.0134309527423.880890499307
0.4318745.4524411206400.800743658035
0.4418817.360392522377.143784363648
0.4518884.7902405729353.572528111306
0.4618947.8992745699330.701480285905
0.4719006.9566362862309.31427491434
0.4819062.3397584391290.086737882573
0.4919114.5178999926273.637253675096
0.519164.0234212939260.381247890299
0.5119211.4137587278250.433464110237
0.5219257.2288100081243.602692686921
0.5319301.9493794297239.355327790767
0.5419345.9623774154237.056568500325
0.5519389.537675558235.830072883502
0.5619432.8200340403234.883272484052
0.5719475.8375464883233.492173137382
0.5819518.5258274248231.155738789776
0.5919560.7649636377227.644187596867
0.619602.4243404687222.999380736249
0.6119643.4091077801217.548524256042
0.6219683.7014999016211.875758889033
0.6319723.3906228943206.731024208769
0.6419762.6857088299202.9141320451
0.6519801.910104356201.124248051603
0.6619841.4761483578201.869654747343
0.6719881.8441954176205.341136667613
0.6819923.4718458447211.327395421428
0.6919966.7614001157219.194900362751
0.720012.0141810907228.217200223003
0.7120059.3993649932237.451789877139
0.7220108.9423437199246.009411585062
0.7320160.5338036845253.214192764341
0.7420213.9564242328258.556005721705
0.7520268.9224002421261.857880937886
0.7620325.1129272888263.162642059983
0.7720382.2111179047262.643120165387
0.7820439.9227314183260.60816878309
0.7920497.9840308711257.294108659759
0.820556.1617414847252.807593557773
0.8120614.254764187247.255083573024
0.8220672.1093702732240.684339801013
0.8320729.658091647233.325991139932
0.8420786.9874200333225.674618076017
0.8520844.4315187735218.642437906786
0.8620902.6792618528213.516346705075
0.8720962.8701729786211.970243054607
0.8821026.6412204373215.71319921231
0.8921096.0742284807226.05469145698
0.921173.4955533186243.180226136843
0.9121261.119585426265.430353274324
0.9221360.6225826648288.957651200036
0.9321472.840761553308.478694242887
0.9421597.7469726834319.548289750826
0.9521734.4631284069321.31848535011
0.9621880.4067320033315.368571859756
0.9722028.6462468988295.451000816849
0.9822164.5446212946240.268934558775
0.9922266.5378125751140.318491473094


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')