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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 computationThu, 05 Aug 2010 15:32:25 +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/2010/Aug/05/t12810223214g9p89s53baroln.htm/, Retrieved Sun, 05 May 2024 10:37:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78423, Retrieved Sun, 05 May 2024 10:37:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsMathias Goossenaerts
Estimated Impact106

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] [Tijdreeks 2 - Stap 7] [2010-08-05 15:32:25] [f7fc4e1bbbe57039ee5ebdd2c8b864c0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
430
429
428
426
424
423
424
426
427
427
428
430
432
435
426
411
405
403
402
399
392
387
380
379
386
385
365
356
338
338
343
338
320
316
317
315
317
321
303
303
290
285
300
291
278
273
277
269
275
278
255
254
245
240
261
247
229
213
218
206
217
219
196
193
188
171
190
180
149
135
151
134
145
151
137
124
125
109
131
133
103
85
104
82

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' @ 72.249.76.132

\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' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78423&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' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78423&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78423&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' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0184.87867568881926.98788602093096
0.0290.394144265261410.6450846960806
0.0397.012718660774311.5948205066166
0.04103.50586686118511.5033846079248
0.05109.41897682129911.52231850337
0.06114.72770060132111.4153665576082
0.07119.47693286103610.8601993466479
0.08123.6821796889219.98110922996337
0.09127.3791339175259.1526947677789
0.1130.6696273518918.73625307173813
0.11133.7161209821678.93164394487877
0.12136.7054869421919.75100261636323
0.13139.81152532986911.0807466116328
0.14143.17031102259612.7608577586595
0.15146.86921919946114.6246233401219
0.16150.94543937731916.5074522544410
0.17155.39005912797018.2512953170195
0.18160.15566616029819.7192970466562
0.19165.16674584280220.8120989933327
0.2170.33229964721721.4875338175651
0.21175.55941765537721.7660893805956
0.22180.76578527060521.7233533933195
0.23185.88897083581621.4692797642665
0.24190.89103450914321.1223921877907
0.25195.75821703472420.7844940232651
0.26200.49665906994520.5267383954298
0.27205.12581329651820.3846170488493
0.28209.67129497569520.3609004069088
0.29214.15852262645320.4346529874032
0.3218.60791914576920.5680407178764
0.31223.03192655687820.7155999766642
0.32227.43375169612220.8292067808222
0.33231.80759503728920.8654972439944
0.34236.14005015310020.7920085882862
0.35240.41233471373520.5892910272212
0.36244.60300149297920.2532461044272
0.37248.69078515054419.7945509128542
0.38252.65727691751919.2359599875407
0.39256.48917995817018.6089190295905
0.4260.17996509097217.9533231958107
0.41263.73080258039817.3110124956331
0.42267.15068833414616.7236696414217
0.43270.45572659166216.2308453129629
0.44273.66759722357615.8612311333855
0.45276.81133570802915.6303438038627
0.46279.91267817332215.5357972523232
0.47282.99534160342015.5592416402826
0.48286.07867910417215.6651247173617
0.49289.17613728297415.8144620628924
0.5292.29483374086815.9675391024461
0.51295.43638149220516.0944324508432
0.52298.59885208286716.1790738691644
0.53301.77954165859116.2258398907590
0.54304.97803449455216.2559600934439
0.55308.19898276792516.3078416544714
0.56311.45405358796416.4280799510022
0.57314.76262423277816.6637244596654
0.58318.15100430127317.0527543006472
0.59321.65018937070317.6157376753999
0.6325.29236718334818.3475545217401
0.61329.10657862132119.2193100664690
0.62333.11407089358520.1745195954659
0.63337.32396794791721.1396455129967
0.64341.72991958331122.0256166272054
0.65346.30836037868622.7410791792028
0.66351.01888430622423.2014342510697
0.67355.80699449381823.3413045081492
0.68360.60911996562823.1263488141006
0.69365.35935001377622.5610691482575
0.7369.9969202796721.6883024397825
0.71374.47321584008920.5880859445642
0.72378.75703637019919.3629964969855
0.73382.83712741802318.1234420848120
0.74386.72146008799916.9694736960157
0.75390.43331218842515.9739117781158
0.76394.00473253217415.1700843608472
0.77397.46837501326014.5484696628647
0.78400.84896308851314.0572043840730
0.79404.15581738588813.6125590164738
0.8407.37793998617413.1138990284669
0.81410.48300009398012.4645247185133
0.82413.42105320722211.5945326286122
0.83416.13286538401710.4778571051998
0.84418.5614399101779.14400602779338
0.85420.6641603046527.67348650060501
0.86422.422417062886.18058847028563
0.87423.8460790850264.78618194665171
0.88424.971679543633.59127230571315
0.89425.8551660992192.65712609414394
0.9426.5616703979901.99927631529939
0.91427.1553058839481.59136064565588
0.92427.6915126318761.37586985962650
0.93428.2138022741541.28173993771238
0.94428.7570255026281.24737027904860
0.95429.3601763433811.24721265544577
0.96430.0892078716041.32118425785290
0.97431.0538919709971.55774030823348
0.98432.3576451281591.98950841813245
0.99433.8795161614962.53588517581463

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 84.8786756888192 & 6.98788602093096 \tabularnewline
0.02 & 90.3941442652614 & 10.6450846960806 \tabularnewline
0.03 & 97.0127186607743 & 11.5948205066166 \tabularnewline
0.04 & 103.505866861185 & 11.5033846079248 \tabularnewline
0.05 & 109.418976821299 & 11.52231850337 \tabularnewline
0.06 & 114.727700601321 & 11.4153665576082 \tabularnewline
0.07 & 119.476932861036 & 10.8601993466479 \tabularnewline
0.08 & 123.682179688921 & 9.98110922996337 \tabularnewline
0.09 & 127.379133917525 & 9.1526947677789 \tabularnewline
0.1 & 130.669627351891 & 8.73625307173813 \tabularnewline
0.11 & 133.716120982167 & 8.93164394487877 \tabularnewline
0.12 & 136.705486942191 & 9.75100261636323 \tabularnewline
0.13 & 139.811525329869 & 11.0807466116328 \tabularnewline
0.14 & 143.170311022596 & 12.7608577586595 \tabularnewline
0.15 & 146.869219199461 & 14.6246233401219 \tabularnewline
0.16 & 150.945439377319 & 16.5074522544410 \tabularnewline
0.17 & 155.390059127970 & 18.2512953170195 \tabularnewline
0.18 & 160.155666160298 & 19.7192970466562 \tabularnewline
0.19 & 165.166745842802 & 20.8120989933327 \tabularnewline
0.2 & 170.332299647217 & 21.4875338175651 \tabularnewline
0.21 & 175.559417655377 & 21.7660893805956 \tabularnewline
0.22 & 180.765785270605 & 21.7233533933195 \tabularnewline
0.23 & 185.888970835816 & 21.4692797642665 \tabularnewline
0.24 & 190.891034509143 & 21.1223921877907 \tabularnewline
0.25 & 195.758217034724 & 20.7844940232651 \tabularnewline
0.26 & 200.496659069945 & 20.5267383954298 \tabularnewline
0.27 & 205.125813296518 & 20.3846170488493 \tabularnewline
0.28 & 209.671294975695 & 20.3609004069088 \tabularnewline
0.29 & 214.158522626453 & 20.4346529874032 \tabularnewline
0.3 & 218.607919145769 & 20.5680407178764 \tabularnewline
0.31 & 223.031926556878 & 20.7155999766642 \tabularnewline
0.32 & 227.433751696122 & 20.8292067808222 \tabularnewline
0.33 & 231.807595037289 & 20.8654972439944 \tabularnewline
0.34 & 236.140050153100 & 20.7920085882862 \tabularnewline
0.35 & 240.412334713735 & 20.5892910272212 \tabularnewline
0.36 & 244.603001492979 & 20.2532461044272 \tabularnewline
0.37 & 248.690785150544 & 19.7945509128542 \tabularnewline
0.38 & 252.657276917519 & 19.2359599875407 \tabularnewline
0.39 & 256.489179958170 & 18.6089190295905 \tabularnewline
0.4 & 260.179965090972 & 17.9533231958107 \tabularnewline
0.41 & 263.730802580398 & 17.3110124956331 \tabularnewline
0.42 & 267.150688334146 & 16.7236696414217 \tabularnewline
0.43 & 270.455726591662 & 16.2308453129629 \tabularnewline
0.44 & 273.667597223576 & 15.8612311333855 \tabularnewline
0.45 & 276.811335708029 & 15.6303438038627 \tabularnewline
0.46 & 279.912678173322 & 15.5357972523232 \tabularnewline
0.47 & 282.995341603420 & 15.5592416402826 \tabularnewline
0.48 & 286.078679104172 & 15.6651247173617 \tabularnewline
0.49 & 289.176137282974 & 15.8144620628924 \tabularnewline
0.5 & 292.294833740868 & 15.9675391024461 \tabularnewline
0.51 & 295.436381492205 & 16.0944324508432 \tabularnewline
0.52 & 298.598852082867 & 16.1790738691644 \tabularnewline
0.53 & 301.779541658591 & 16.2258398907590 \tabularnewline
0.54 & 304.978034494552 & 16.2559600934439 \tabularnewline
0.55 & 308.198982767925 & 16.3078416544714 \tabularnewline
0.56 & 311.454053587964 & 16.4280799510022 \tabularnewline
0.57 & 314.762624232778 & 16.6637244596654 \tabularnewline
0.58 & 318.151004301273 & 17.0527543006472 \tabularnewline
0.59 & 321.650189370703 & 17.6157376753999 \tabularnewline
0.6 & 325.292367183348 & 18.3475545217401 \tabularnewline
0.61 & 329.106578621321 & 19.2193100664690 \tabularnewline
0.62 & 333.114070893585 & 20.1745195954659 \tabularnewline
0.63 & 337.323967947917 & 21.1396455129967 \tabularnewline
0.64 & 341.729919583311 & 22.0256166272054 \tabularnewline
0.65 & 346.308360378686 & 22.7410791792028 \tabularnewline
0.66 & 351.018884306224 & 23.2014342510697 \tabularnewline
0.67 & 355.806994493818 & 23.3413045081492 \tabularnewline
0.68 & 360.609119965628 & 23.1263488141006 \tabularnewline
0.69 & 365.359350013776 & 22.5610691482575 \tabularnewline
0.7 & 369.99692027967 & 21.6883024397825 \tabularnewline
0.71 & 374.473215840089 & 20.5880859445642 \tabularnewline
0.72 & 378.757036370199 & 19.3629964969855 \tabularnewline
0.73 & 382.837127418023 & 18.1234420848120 \tabularnewline
0.74 & 386.721460087999 & 16.9694736960157 \tabularnewline
0.75 & 390.433312188425 & 15.9739117781158 \tabularnewline
0.76 & 394.004732532174 & 15.1700843608472 \tabularnewline
0.77 & 397.468375013260 & 14.5484696628647 \tabularnewline
0.78 & 400.848963088513 & 14.0572043840730 \tabularnewline
0.79 & 404.155817385888 & 13.6125590164738 \tabularnewline
0.8 & 407.377939986174 & 13.1138990284669 \tabularnewline
0.81 & 410.483000093980 & 12.4645247185133 \tabularnewline
0.82 & 413.421053207222 & 11.5945326286122 \tabularnewline
0.83 & 416.132865384017 & 10.4778571051998 \tabularnewline
0.84 & 418.561439910177 & 9.14400602779338 \tabularnewline
0.85 & 420.664160304652 & 7.67348650060501 \tabularnewline
0.86 & 422.42241706288 & 6.18058847028563 \tabularnewline
0.87 & 423.846079085026 & 4.78618194665171 \tabularnewline
0.88 & 424.97167954363 & 3.59127230571315 \tabularnewline
0.89 & 425.855166099219 & 2.65712609414394 \tabularnewline
0.9 & 426.561670397990 & 1.99927631529939 \tabularnewline
0.91 & 427.155305883948 & 1.59136064565588 \tabularnewline
0.92 & 427.691512631876 & 1.37586985962650 \tabularnewline
0.93 & 428.213802274154 & 1.28173993771238 \tabularnewline
0.94 & 428.757025502628 & 1.24737027904860 \tabularnewline
0.95 & 429.360176343381 & 1.24721265544577 \tabularnewline
0.96 & 430.089207871604 & 1.32118425785290 \tabularnewline
0.97 & 431.053891970997 & 1.55774030823348 \tabularnewline
0.98 & 432.357645128159 & 1.98950841813245 \tabularnewline
0.99 & 433.879516161496 & 2.53588517581463 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78423&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]84.8786756888192[/C][C]6.98788602093096[/C][/ROW]
[ROW][C]0.02[/C][C]90.3941442652614[/C][C]10.6450846960806[/C][/ROW]
[ROW][C]0.03[/C][C]97.0127186607743[/C][C]11.5948205066166[/C][/ROW]
[ROW][C]0.04[/C][C]103.505866861185[/C][C]11.5033846079248[/C][/ROW]
[ROW][C]0.05[/C][C]109.418976821299[/C][C]11.52231850337[/C][/ROW]
[ROW][C]0.06[/C][C]114.727700601321[/C][C]11.4153665576082[/C][/ROW]
[ROW][C]0.07[/C][C]119.476932861036[/C][C]10.8601993466479[/C][/ROW]
[ROW][C]0.08[/C][C]123.682179688921[/C][C]9.98110922996337[/C][/ROW]
[ROW][C]0.09[/C][C]127.379133917525[/C][C]9.1526947677789[/C][/ROW]
[ROW][C]0.1[/C][C]130.669627351891[/C][C]8.73625307173813[/C][/ROW]
[ROW][C]0.11[/C][C]133.716120982167[/C][C]8.93164394487877[/C][/ROW]
[ROW][C]0.12[/C][C]136.705486942191[/C][C]9.75100261636323[/C][/ROW]
[ROW][C]0.13[/C][C]139.811525329869[/C][C]11.0807466116328[/C][/ROW]
[ROW][C]0.14[/C][C]143.170311022596[/C][C]12.7608577586595[/C][/ROW]
[ROW][C]0.15[/C][C]146.869219199461[/C][C]14.6246233401219[/C][/ROW]
[ROW][C]0.16[/C][C]150.945439377319[/C][C]16.5074522544410[/C][/ROW]
[ROW][C]0.17[/C][C]155.390059127970[/C][C]18.2512953170195[/C][/ROW]
[ROW][C]0.18[/C][C]160.155666160298[/C][C]19.7192970466562[/C][/ROW]
[ROW][C]0.19[/C][C]165.166745842802[/C][C]20.8120989933327[/C][/ROW]
[ROW][C]0.2[/C][C]170.332299647217[/C][C]21.4875338175651[/C][/ROW]
[ROW][C]0.21[/C][C]175.559417655377[/C][C]21.7660893805956[/C][/ROW]
[ROW][C]0.22[/C][C]180.765785270605[/C][C]21.7233533933195[/C][/ROW]
[ROW][C]0.23[/C][C]185.888970835816[/C][C]21.4692797642665[/C][/ROW]
[ROW][C]0.24[/C][C]190.891034509143[/C][C]21.1223921877907[/C][/ROW]
[ROW][C]0.25[/C][C]195.758217034724[/C][C]20.7844940232651[/C][/ROW]
[ROW][C]0.26[/C][C]200.496659069945[/C][C]20.5267383954298[/C][/ROW]
[ROW][C]0.27[/C][C]205.125813296518[/C][C]20.3846170488493[/C][/ROW]
[ROW][C]0.28[/C][C]209.671294975695[/C][C]20.3609004069088[/C][/ROW]
[ROW][C]0.29[/C][C]214.158522626453[/C][C]20.4346529874032[/C][/ROW]
[ROW][C]0.3[/C][C]218.607919145769[/C][C]20.5680407178764[/C][/ROW]
[ROW][C]0.31[/C][C]223.031926556878[/C][C]20.7155999766642[/C][/ROW]
[ROW][C]0.32[/C][C]227.433751696122[/C][C]20.8292067808222[/C][/ROW]
[ROW][C]0.33[/C][C]231.807595037289[/C][C]20.8654972439944[/C][/ROW]
[ROW][C]0.34[/C][C]236.140050153100[/C][C]20.7920085882862[/C][/ROW]
[ROW][C]0.35[/C][C]240.412334713735[/C][C]20.5892910272212[/C][/ROW]
[ROW][C]0.36[/C][C]244.603001492979[/C][C]20.2532461044272[/C][/ROW]
[ROW][C]0.37[/C][C]248.690785150544[/C][C]19.7945509128542[/C][/ROW]
[ROW][C]0.38[/C][C]252.657276917519[/C][C]19.2359599875407[/C][/ROW]
[ROW][C]0.39[/C][C]256.489179958170[/C][C]18.6089190295905[/C][/ROW]
[ROW][C]0.4[/C][C]260.179965090972[/C][C]17.9533231958107[/C][/ROW]
[ROW][C]0.41[/C][C]263.730802580398[/C][C]17.3110124956331[/C][/ROW]
[ROW][C]0.42[/C][C]267.150688334146[/C][C]16.7236696414217[/C][/ROW]
[ROW][C]0.43[/C][C]270.455726591662[/C][C]16.2308453129629[/C][/ROW]
[ROW][C]0.44[/C][C]273.667597223576[/C][C]15.8612311333855[/C][/ROW]
[ROW][C]0.45[/C][C]276.811335708029[/C][C]15.6303438038627[/C][/ROW]
[ROW][C]0.46[/C][C]279.912678173322[/C][C]15.5357972523232[/C][/ROW]
[ROW][C]0.47[/C][C]282.995341603420[/C][C]15.5592416402826[/C][/ROW]
[ROW][C]0.48[/C][C]286.078679104172[/C][C]15.6651247173617[/C][/ROW]
[ROW][C]0.49[/C][C]289.176137282974[/C][C]15.8144620628924[/C][/ROW]
[ROW][C]0.5[/C][C]292.294833740868[/C][C]15.9675391024461[/C][/ROW]
[ROW][C]0.51[/C][C]295.436381492205[/C][C]16.0944324508432[/C][/ROW]
[ROW][C]0.52[/C][C]298.598852082867[/C][C]16.1790738691644[/C][/ROW]
[ROW][C]0.53[/C][C]301.779541658591[/C][C]16.2258398907590[/C][/ROW]
[ROW][C]0.54[/C][C]304.978034494552[/C][C]16.2559600934439[/C][/ROW]
[ROW][C]0.55[/C][C]308.198982767925[/C][C]16.3078416544714[/C][/ROW]
[ROW][C]0.56[/C][C]311.454053587964[/C][C]16.4280799510022[/C][/ROW]
[ROW][C]0.57[/C][C]314.762624232778[/C][C]16.6637244596654[/C][/ROW]
[ROW][C]0.58[/C][C]318.151004301273[/C][C]17.0527543006472[/C][/ROW]
[ROW][C]0.59[/C][C]321.650189370703[/C][C]17.6157376753999[/C][/ROW]
[ROW][C]0.6[/C][C]325.292367183348[/C][C]18.3475545217401[/C][/ROW]
[ROW][C]0.61[/C][C]329.106578621321[/C][C]19.2193100664690[/C][/ROW]
[ROW][C]0.62[/C][C]333.114070893585[/C][C]20.1745195954659[/C][/ROW]
[ROW][C]0.63[/C][C]337.323967947917[/C][C]21.1396455129967[/C][/ROW]
[ROW][C]0.64[/C][C]341.729919583311[/C][C]22.0256166272054[/C][/ROW]
[ROW][C]0.65[/C][C]346.308360378686[/C][C]22.7410791792028[/C][/ROW]
[ROW][C]0.66[/C][C]351.018884306224[/C][C]23.2014342510697[/C][/ROW]
[ROW][C]0.67[/C][C]355.806994493818[/C][C]23.3413045081492[/C][/ROW]
[ROW][C]0.68[/C][C]360.609119965628[/C][C]23.1263488141006[/C][/ROW]
[ROW][C]0.69[/C][C]365.359350013776[/C][C]22.5610691482575[/C][/ROW]
[ROW][C]0.7[/C][C]369.99692027967[/C][C]21.6883024397825[/C][/ROW]
[ROW][C]0.71[/C][C]374.473215840089[/C][C]20.5880859445642[/C][/ROW]
[ROW][C]0.72[/C][C]378.757036370199[/C][C]19.3629964969855[/C][/ROW]
[ROW][C]0.73[/C][C]382.837127418023[/C][C]18.1234420848120[/C][/ROW]
[ROW][C]0.74[/C][C]386.721460087999[/C][C]16.9694736960157[/C][/ROW]
[ROW][C]0.75[/C][C]390.433312188425[/C][C]15.9739117781158[/C][/ROW]
[ROW][C]0.76[/C][C]394.004732532174[/C][C]15.1700843608472[/C][/ROW]
[ROW][C]0.77[/C][C]397.468375013260[/C][C]14.5484696628647[/C][/ROW]
[ROW][C]0.78[/C][C]400.848963088513[/C][C]14.0572043840730[/C][/ROW]
[ROW][C]0.79[/C][C]404.155817385888[/C][C]13.6125590164738[/C][/ROW]
[ROW][C]0.8[/C][C]407.377939986174[/C][C]13.1138990284669[/C][/ROW]
[ROW][C]0.81[/C][C]410.483000093980[/C][C]12.4645247185133[/C][/ROW]
[ROW][C]0.82[/C][C]413.421053207222[/C][C]11.5945326286122[/C][/ROW]
[ROW][C]0.83[/C][C]416.132865384017[/C][C]10.4778571051998[/C][/ROW]
[ROW][C]0.84[/C][C]418.561439910177[/C][C]9.14400602779338[/C][/ROW]
[ROW][C]0.85[/C][C]420.664160304652[/C][C]7.67348650060501[/C][/ROW]
[ROW][C]0.86[/C][C]422.42241706288[/C][C]6.18058847028563[/C][/ROW]
[ROW][C]0.87[/C][C]423.846079085026[/C][C]4.78618194665171[/C][/ROW]
[ROW][C]0.88[/C][C]424.97167954363[/C][C]3.59127230571315[/C][/ROW]
[ROW][C]0.89[/C][C]425.855166099219[/C][C]2.65712609414394[/C][/ROW]
[ROW][C]0.9[/C][C]426.561670397990[/C][C]1.99927631529939[/C][/ROW]
[ROW][C]0.91[/C][C]427.155305883948[/C][C]1.59136064565588[/C][/ROW]
[ROW][C]0.92[/C][C]427.691512631876[/C][C]1.37586985962650[/C][/ROW]
[ROW][C]0.93[/C][C]428.213802274154[/C][C]1.28173993771238[/C][/ROW]
[ROW][C]0.94[/C][C]428.757025502628[/C][C]1.24737027904860[/C][/ROW]
[ROW][C]0.95[/C][C]429.360176343381[/C][C]1.24721265544577[/C][/ROW]
[ROW][C]0.96[/C][C]430.089207871604[/C][C]1.32118425785290[/C][/ROW]
[ROW][C]0.97[/C][C]431.053891970997[/C][C]1.55774030823348[/C][/ROW]
[ROW][C]0.98[/C][C]432.357645128159[/C][C]1.98950841813245[/C][/ROW]
[ROW][C]0.99[/C][C]433.879516161496[/C][C]2.53588517581463[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78423&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78423&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
0.0184.87867568881926.98788602093096
0.0290.394144265261410.6450846960806
0.0397.012718660774311.5948205066166
0.04103.50586686118511.5033846079248
0.05109.41897682129911.52231850337
0.06114.72770060132111.4153665576082
0.07119.47693286103610.8601993466479
0.08123.6821796889219.98110922996337
0.09127.3791339175259.1526947677789
0.1130.6696273518918.73625307173813
0.11133.7161209821678.93164394487877
0.12136.7054869421919.75100261636323
0.13139.81152532986911.0807466116328
0.14143.17031102259612.7608577586595
0.15146.86921919946114.6246233401219
0.16150.94543937731916.5074522544410
0.17155.39005912797018.2512953170195
0.18160.15566616029819.7192970466562
0.19165.16674584280220.8120989933327
0.2170.33229964721721.4875338175651
0.21175.55941765537721.7660893805956
0.22180.76578527060521.7233533933195
0.23185.88897083581621.4692797642665
0.24190.89103450914321.1223921877907
0.25195.75821703472420.7844940232651
0.26200.49665906994520.5267383954298
0.27205.12581329651820.3846170488493
0.28209.67129497569520.3609004069088
0.29214.15852262645320.4346529874032
0.3218.60791914576920.5680407178764
0.31223.03192655687820.7155999766642
0.32227.43375169612220.8292067808222
0.33231.80759503728920.8654972439944
0.34236.14005015310020.7920085882862
0.35240.41233471373520.5892910272212
0.36244.60300149297920.2532461044272
0.37248.69078515054419.7945509128542
0.38252.65727691751919.2359599875407
0.39256.48917995817018.6089190295905
0.4260.17996509097217.9533231958107
0.41263.73080258039817.3110124956331
0.42267.15068833414616.7236696414217
0.43270.45572659166216.2308453129629
0.44273.66759722357615.8612311333855
0.45276.81133570802915.6303438038627
0.46279.91267817332215.5357972523232
0.47282.99534160342015.5592416402826
0.48286.07867910417215.6651247173617
0.49289.17613728297415.8144620628924
0.5292.29483374086815.9675391024461
0.51295.43638149220516.0944324508432
0.52298.59885208286716.1790738691644
0.53301.77954165859116.2258398907590
0.54304.97803449455216.2559600934439
0.55308.19898276792516.3078416544714
0.56311.45405358796416.4280799510022
0.57314.76262423277816.6637244596654
0.58318.15100430127317.0527543006472
0.59321.65018937070317.6157376753999
0.6325.29236718334818.3475545217401
0.61329.10657862132119.2193100664690
0.62333.11407089358520.1745195954659
0.63337.32396794791721.1396455129967
0.64341.72991958331122.0256166272054
0.65346.30836037868622.7410791792028
0.66351.01888430622423.2014342510697
0.67355.80699449381823.3413045081492
0.68360.60911996562823.1263488141006
0.69365.35935001377622.5610691482575
0.7369.9969202796721.6883024397825
0.71374.47321584008920.5880859445642
0.72378.75703637019919.3629964969855
0.73382.83712741802318.1234420848120
0.74386.72146008799916.9694736960157
0.75390.43331218842515.9739117781158
0.76394.00473253217415.1700843608472
0.77397.46837501326014.5484696628647
0.78400.84896308851314.0572043840730
0.79404.15581738588813.6125590164738
0.8407.37793998617413.1138990284669
0.81410.48300009398012.4645247185133
0.82413.42105320722211.5945326286122
0.83416.13286538401710.4778571051998
0.84418.5614399101779.14400602779338
0.85420.6641603046527.67348650060501
0.86422.422417062886.18058847028563
0.87423.8460790850264.78618194665171
0.88424.971679543633.59127230571315
0.89425.8551660992192.65712609414394
0.9426.5616703979901.99927631529939
0.91427.1553058839481.59136064565588
0.92427.6915126318761.37586985962650
0.93428.2138022741541.28173993771238
0.94428.7570255026281.24737027904860
0.95429.3601763433811.24721265544577
0.96430.0892078716041.32118425785290
0.97431.0538919709971.55774030823348
0.98432.3576451281591.98950841813245
0.99433.8795161614962.53588517581463


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')