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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 computationFri, 06 Mar 2009 05:30:48 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/06/t1236342700lalgcevs2d4245n.htm/, Retrieved Fri, 03 May 2024 02:45:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38636, Retrieved Fri, 03 May 2024 02:45:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact203

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] [Harrel-Davis2 Bru...] [2009-03-06 12:30:48] [1f24ecf252e89ff3a946a11432983a6a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
260288
261544
259886
257006
259670
258873
264416
263596
262586
260237
261690
259295
264170
264451
265538
261723
266189
265073
267007
266376
267406
262742
260300
263074
265940
264771
268403
264264
264118
266817
269296
269001
266707
267507
267510
267420
270845
270671
273653
271567
268372
268160
267879
271142
271323
269478
271008
269145
271684
273582
279475
276188
278422
281084
278618
280738
288897
282129
286406
284288
286139
288275
287670
286864
288798
288316
286915
288006
293338
303730
306248
305700
314849

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' @ 193.190.124.24

\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' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38636&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' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38636&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38636&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' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01257525.5084095661480.92575275970
0.02258218.309062831041.18479933369
0.03258817.586868284730.242663312679
0.04259255.875645579579.936723709115
0.05259574.740320444533.250939653316
0.06259829.893440668543.811123456015
0.07260059.589981833592.681651891597
0.08260285.556805088668.730727711939
0.09260519.281020970758.751060013019
0.1260765.861657858848.497296884342
0.11261025.939239852926.51199086556
0.12261297.103586532986.526670683416
0.13261575.2655505341027.06219821569
0.14261855.8636318121050.59749580900
0.15262134.6828116231058.85658995168
0.16262408.2296246531055.86950563053
0.17262673.7862555921042.16147127579
0.18262929.3366187171018.99895709907
0.19263173.515427975988.20638693586
0.2263405.635410034953.206211311508
0.21263625.761086959917.397589656537
0.22263834.755476750885.779030545748
0.23264034.232136231862.705170556822
0.24264226.38233636851.330183708606
0.25264413.693113344852.4346405476
0.26264598.608029646864.937355321125
0.27264783.198796264885.647013936605
0.28264968.911135393910.339352161156
0.29265156.427459264933.682413514506
0.3265345.660457336952.806853062232
0.31265535.86413593963.882811680668
0.32265725.828786091965.981551768755
0.33265914.11698699958.891239034222
0.34266099.29889732943.513027837382
0.35266280.154012062921.612608729616
0.36266455.819335177895.91429297297
0.37266625.876757112868.610284019093
0.38266790.382649734842.971963134449
0.39266949.849106665820.978324293177
0.4267105.189000861804.855161444966
0.41267257.637068957796.007289016655
0.42267408.657768721796.225208414245
0.43267559.848683709805.187925401954
0.44267712.846351415823.377291106456
0.45267869.239796228849.61842997962
0.46268030.495824603883.057015017731
0.47268197.899378247922.82756565952
0.48268372.51210996967.24890911785
0.49268555.1529773861014.57143646400
0.5268746.4059162871064.06808583407
0.51268946.6609780511114.09916691215
0.52269156.1956333051163.74529620727
0.53269375.3009334561213.40404283719
0.54269604.4517686511263.78872392259
0.55269844.5112323351317.83711648063
0.56270096.9470400801379.10390306567
0.57270364.0254458061453.00918281608
0.58270648.9387138531545.51132682304
0.59270955.8199036711662.46183680838
0.6271289.6067469761808.68862276283
0.61271655.7360555631986.15433014152
0.62272059.679819952193.05991476657
0.63272506.3691380682423.64344762382
0.64272999.5847979242668.89775074438
0.65273541.4148348512916.87345838602
0.66274131.8816132583154.56539197012
0.67274768.8191810473368.73094089091
0.68275448.0365837313549.23703189356
0.69276163.7420052193688.77710697499
0.7276909.1397390583784.63589188001
0.71277677.0644242533838.23099099164
0.72278460.5011688353854.19972989162
0.73279252.8662406993838.22234404922
0.74280047.9897985873795.27164347443
0.75280839.8349827843727.32501596063
0.76281622.0803193583632.99565491691
0.77282387.753883373508.34457292963
0.78283129.1131623633348.51127052288
0.79283837.9067031653149.83251895812
0.8284506.0500603732913.69107553313
0.81285126.6410799692647.07264939837
0.82285695.1824438412361.86840344109
0.83286210.9182284122075.50100518901
0.84286678.3363329791808.46579925725
0.85287109.0892126251585.49031982104
0.86287524.7101730681438.91824637565
0.87287960.3377460381417.38725454662
0.88288468.9519498121588.38703428109
0.89289124.2187290482019.94916034991
0.9290018.17728462749.47137850680
0.91291248.7702965063756.26344171579
0.92292893.8241855724926.30242899284
0.93294975.3724352686023.3429400076
0.94297432.2956752326718.4076590547
0.95300134.2574273886719.32423713498
0.96302964.8076276216003.33199160499
0.97305937.2939109095100.54566502979
0.98309167.8486920605186.8753204925
0.99312473.3303714556771.65209911425

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 257525.508409566 & 1480.92575275970 \tabularnewline
0.02 & 258218.30906283 & 1041.18479933369 \tabularnewline
0.03 & 258817.586868284 & 730.242663312679 \tabularnewline
0.04 & 259255.875645579 & 579.936723709115 \tabularnewline
0.05 & 259574.740320444 & 533.250939653316 \tabularnewline
0.06 & 259829.893440668 & 543.811123456015 \tabularnewline
0.07 & 260059.589981833 & 592.681651891597 \tabularnewline
0.08 & 260285.556805088 & 668.730727711939 \tabularnewline
0.09 & 260519.281020970 & 758.751060013019 \tabularnewline
0.1 & 260765.861657858 & 848.497296884342 \tabularnewline
0.11 & 261025.939239852 & 926.51199086556 \tabularnewline
0.12 & 261297.103586532 & 986.526670683416 \tabularnewline
0.13 & 261575.265550534 & 1027.06219821569 \tabularnewline
0.14 & 261855.863631812 & 1050.59749580900 \tabularnewline
0.15 & 262134.682811623 & 1058.85658995168 \tabularnewline
0.16 & 262408.229624653 & 1055.86950563053 \tabularnewline
0.17 & 262673.786255592 & 1042.16147127579 \tabularnewline
0.18 & 262929.336618717 & 1018.99895709907 \tabularnewline
0.19 & 263173.515427975 & 988.20638693586 \tabularnewline
0.2 & 263405.635410034 & 953.206211311508 \tabularnewline
0.21 & 263625.761086959 & 917.397589656537 \tabularnewline
0.22 & 263834.755476750 & 885.779030545748 \tabularnewline
0.23 & 264034.232136231 & 862.705170556822 \tabularnewline
0.24 & 264226.38233636 & 851.330183708606 \tabularnewline
0.25 & 264413.693113344 & 852.4346405476 \tabularnewline
0.26 & 264598.608029646 & 864.937355321125 \tabularnewline
0.27 & 264783.198796264 & 885.647013936605 \tabularnewline
0.28 & 264968.911135393 & 910.339352161156 \tabularnewline
0.29 & 265156.427459264 & 933.682413514506 \tabularnewline
0.3 & 265345.660457336 & 952.806853062232 \tabularnewline
0.31 & 265535.86413593 & 963.882811680668 \tabularnewline
0.32 & 265725.828786091 & 965.981551768755 \tabularnewline
0.33 & 265914.11698699 & 958.891239034222 \tabularnewline
0.34 & 266099.29889732 & 943.513027837382 \tabularnewline
0.35 & 266280.154012062 & 921.612608729616 \tabularnewline
0.36 & 266455.819335177 & 895.91429297297 \tabularnewline
0.37 & 266625.876757112 & 868.610284019093 \tabularnewline
0.38 & 266790.382649734 & 842.971963134449 \tabularnewline
0.39 & 266949.849106665 & 820.978324293177 \tabularnewline
0.4 & 267105.189000861 & 804.855161444966 \tabularnewline
0.41 & 267257.637068957 & 796.007289016655 \tabularnewline
0.42 & 267408.657768721 & 796.225208414245 \tabularnewline
0.43 & 267559.848683709 & 805.187925401954 \tabularnewline
0.44 & 267712.846351415 & 823.377291106456 \tabularnewline
0.45 & 267869.239796228 & 849.61842997962 \tabularnewline
0.46 & 268030.495824603 & 883.057015017731 \tabularnewline
0.47 & 268197.899378247 & 922.82756565952 \tabularnewline
0.48 & 268372.51210996 & 967.24890911785 \tabularnewline
0.49 & 268555.152977386 & 1014.57143646400 \tabularnewline
0.5 & 268746.405916287 & 1064.06808583407 \tabularnewline
0.51 & 268946.660978051 & 1114.09916691215 \tabularnewline
0.52 & 269156.195633305 & 1163.74529620727 \tabularnewline
0.53 & 269375.300933456 & 1213.40404283719 \tabularnewline
0.54 & 269604.451768651 & 1263.78872392259 \tabularnewline
0.55 & 269844.511232335 & 1317.83711648063 \tabularnewline
0.56 & 270096.947040080 & 1379.10390306567 \tabularnewline
0.57 & 270364.025445806 & 1453.00918281608 \tabularnewline
0.58 & 270648.938713853 & 1545.51132682304 \tabularnewline
0.59 & 270955.819903671 & 1662.46183680838 \tabularnewline
0.6 & 271289.606746976 & 1808.68862276283 \tabularnewline
0.61 & 271655.736055563 & 1986.15433014152 \tabularnewline
0.62 & 272059.67981995 & 2193.05991476657 \tabularnewline
0.63 & 272506.369138068 & 2423.64344762382 \tabularnewline
0.64 & 272999.584797924 & 2668.89775074438 \tabularnewline
0.65 & 273541.414834851 & 2916.87345838602 \tabularnewline
0.66 & 274131.881613258 & 3154.56539197012 \tabularnewline
0.67 & 274768.819181047 & 3368.73094089091 \tabularnewline
0.68 & 275448.036583731 & 3549.23703189356 \tabularnewline
0.69 & 276163.742005219 & 3688.77710697499 \tabularnewline
0.7 & 276909.139739058 & 3784.63589188001 \tabularnewline
0.71 & 277677.064424253 & 3838.23099099164 \tabularnewline
0.72 & 278460.501168835 & 3854.19972989162 \tabularnewline
0.73 & 279252.866240699 & 3838.22234404922 \tabularnewline
0.74 & 280047.989798587 & 3795.27164347443 \tabularnewline
0.75 & 280839.834982784 & 3727.32501596063 \tabularnewline
0.76 & 281622.080319358 & 3632.99565491691 \tabularnewline
0.77 & 282387.75388337 & 3508.34457292963 \tabularnewline
0.78 & 283129.113162363 & 3348.51127052288 \tabularnewline
0.79 & 283837.906703165 & 3149.83251895812 \tabularnewline
0.8 & 284506.050060373 & 2913.69107553313 \tabularnewline
0.81 & 285126.641079969 & 2647.07264939837 \tabularnewline
0.82 & 285695.182443841 & 2361.86840344109 \tabularnewline
0.83 & 286210.918228412 & 2075.50100518901 \tabularnewline
0.84 & 286678.336332979 & 1808.46579925725 \tabularnewline
0.85 & 287109.089212625 & 1585.49031982104 \tabularnewline
0.86 & 287524.710173068 & 1438.91824637565 \tabularnewline
0.87 & 287960.337746038 & 1417.38725454662 \tabularnewline
0.88 & 288468.951949812 & 1588.38703428109 \tabularnewline
0.89 & 289124.218729048 & 2019.94916034991 \tabularnewline
0.9 & 290018.1772846 & 2749.47137850680 \tabularnewline
0.91 & 291248.770296506 & 3756.26344171579 \tabularnewline
0.92 & 292893.824185572 & 4926.30242899284 \tabularnewline
0.93 & 294975.372435268 & 6023.3429400076 \tabularnewline
0.94 & 297432.295675232 & 6718.4076590547 \tabularnewline
0.95 & 300134.257427388 & 6719.32423713498 \tabularnewline
0.96 & 302964.807627621 & 6003.33199160499 \tabularnewline
0.97 & 305937.293910909 & 5100.54566502979 \tabularnewline
0.98 & 309167.848692060 & 5186.8753204925 \tabularnewline
0.99 & 312473.330371455 & 6771.65209911425 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38636&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]257525.508409566[/C][C]1480.92575275970[/C][/ROW]
[ROW][C]0.02[/C][C]258218.30906283[/C][C]1041.18479933369[/C][/ROW]
[ROW][C]0.03[/C][C]258817.586868284[/C][C]730.242663312679[/C][/ROW]
[ROW][C]0.04[/C][C]259255.875645579[/C][C]579.936723709115[/C][/ROW]
[ROW][C]0.05[/C][C]259574.740320444[/C][C]533.250939653316[/C][/ROW]
[ROW][C]0.06[/C][C]259829.893440668[/C][C]543.811123456015[/C][/ROW]
[ROW][C]0.07[/C][C]260059.589981833[/C][C]592.681651891597[/C][/ROW]
[ROW][C]0.08[/C][C]260285.556805088[/C][C]668.730727711939[/C][/ROW]
[ROW][C]0.09[/C][C]260519.281020970[/C][C]758.751060013019[/C][/ROW]
[ROW][C]0.1[/C][C]260765.861657858[/C][C]848.497296884342[/C][/ROW]
[ROW][C]0.11[/C][C]261025.939239852[/C][C]926.51199086556[/C][/ROW]
[ROW][C]0.12[/C][C]261297.103586532[/C][C]986.526670683416[/C][/ROW]
[ROW][C]0.13[/C][C]261575.265550534[/C][C]1027.06219821569[/C][/ROW]
[ROW][C]0.14[/C][C]261855.863631812[/C][C]1050.59749580900[/C][/ROW]
[ROW][C]0.15[/C][C]262134.682811623[/C][C]1058.85658995168[/C][/ROW]
[ROW][C]0.16[/C][C]262408.229624653[/C][C]1055.86950563053[/C][/ROW]
[ROW][C]0.17[/C][C]262673.786255592[/C][C]1042.16147127579[/C][/ROW]
[ROW][C]0.18[/C][C]262929.336618717[/C][C]1018.99895709907[/C][/ROW]
[ROW][C]0.19[/C][C]263173.515427975[/C][C]988.20638693586[/C][/ROW]
[ROW][C]0.2[/C][C]263405.635410034[/C][C]953.206211311508[/C][/ROW]
[ROW][C]0.21[/C][C]263625.761086959[/C][C]917.397589656537[/C][/ROW]
[ROW][C]0.22[/C][C]263834.755476750[/C][C]885.779030545748[/C][/ROW]
[ROW][C]0.23[/C][C]264034.232136231[/C][C]862.705170556822[/C][/ROW]
[ROW][C]0.24[/C][C]264226.38233636[/C][C]851.330183708606[/C][/ROW]
[ROW][C]0.25[/C][C]264413.693113344[/C][C]852.4346405476[/C][/ROW]
[ROW][C]0.26[/C][C]264598.608029646[/C][C]864.937355321125[/C][/ROW]
[ROW][C]0.27[/C][C]264783.198796264[/C][C]885.647013936605[/C][/ROW]
[ROW][C]0.28[/C][C]264968.911135393[/C][C]910.339352161156[/C][/ROW]
[ROW][C]0.29[/C][C]265156.427459264[/C][C]933.682413514506[/C][/ROW]
[ROW][C]0.3[/C][C]265345.660457336[/C][C]952.806853062232[/C][/ROW]
[ROW][C]0.31[/C][C]265535.86413593[/C][C]963.882811680668[/C][/ROW]
[ROW][C]0.32[/C][C]265725.828786091[/C][C]965.981551768755[/C][/ROW]
[ROW][C]0.33[/C][C]265914.11698699[/C][C]958.891239034222[/C][/ROW]
[ROW][C]0.34[/C][C]266099.29889732[/C][C]943.513027837382[/C][/ROW]
[ROW][C]0.35[/C][C]266280.154012062[/C][C]921.612608729616[/C][/ROW]
[ROW][C]0.36[/C][C]266455.819335177[/C][C]895.91429297297[/C][/ROW]
[ROW][C]0.37[/C][C]266625.876757112[/C][C]868.610284019093[/C][/ROW]
[ROW][C]0.38[/C][C]266790.382649734[/C][C]842.971963134449[/C][/ROW]
[ROW][C]0.39[/C][C]266949.849106665[/C][C]820.978324293177[/C][/ROW]
[ROW][C]0.4[/C][C]267105.189000861[/C][C]804.855161444966[/C][/ROW]
[ROW][C]0.41[/C][C]267257.637068957[/C][C]796.007289016655[/C][/ROW]
[ROW][C]0.42[/C][C]267408.657768721[/C][C]796.225208414245[/C][/ROW]
[ROW][C]0.43[/C][C]267559.848683709[/C][C]805.187925401954[/C][/ROW]
[ROW][C]0.44[/C][C]267712.846351415[/C][C]823.377291106456[/C][/ROW]
[ROW][C]0.45[/C][C]267869.239796228[/C][C]849.61842997962[/C][/ROW]
[ROW][C]0.46[/C][C]268030.495824603[/C][C]883.057015017731[/C][/ROW]
[ROW][C]0.47[/C][C]268197.899378247[/C][C]922.82756565952[/C][/ROW]
[ROW][C]0.48[/C][C]268372.51210996[/C][C]967.24890911785[/C][/ROW]
[ROW][C]0.49[/C][C]268555.152977386[/C][C]1014.57143646400[/C][/ROW]
[ROW][C]0.5[/C][C]268746.405916287[/C][C]1064.06808583407[/C][/ROW]
[ROW][C]0.51[/C][C]268946.660978051[/C][C]1114.09916691215[/C][/ROW]
[ROW][C]0.52[/C][C]269156.195633305[/C][C]1163.74529620727[/C][/ROW]
[ROW][C]0.53[/C][C]269375.300933456[/C][C]1213.40404283719[/C][/ROW]
[ROW][C]0.54[/C][C]269604.451768651[/C][C]1263.78872392259[/C][/ROW]
[ROW][C]0.55[/C][C]269844.511232335[/C][C]1317.83711648063[/C][/ROW]
[ROW][C]0.56[/C][C]270096.947040080[/C][C]1379.10390306567[/C][/ROW]
[ROW][C]0.57[/C][C]270364.025445806[/C][C]1453.00918281608[/C][/ROW]
[ROW][C]0.58[/C][C]270648.938713853[/C][C]1545.51132682304[/C][/ROW]
[ROW][C]0.59[/C][C]270955.819903671[/C][C]1662.46183680838[/C][/ROW]
[ROW][C]0.6[/C][C]271289.606746976[/C][C]1808.68862276283[/C][/ROW]
[ROW][C]0.61[/C][C]271655.736055563[/C][C]1986.15433014152[/C][/ROW]
[ROW][C]0.62[/C][C]272059.67981995[/C][C]2193.05991476657[/C][/ROW]
[ROW][C]0.63[/C][C]272506.369138068[/C][C]2423.64344762382[/C][/ROW]
[ROW][C]0.64[/C][C]272999.584797924[/C][C]2668.89775074438[/C][/ROW]
[ROW][C]0.65[/C][C]273541.414834851[/C][C]2916.87345838602[/C][/ROW]
[ROW][C]0.66[/C][C]274131.881613258[/C][C]3154.56539197012[/C][/ROW]
[ROW][C]0.67[/C][C]274768.819181047[/C][C]3368.73094089091[/C][/ROW]
[ROW][C]0.68[/C][C]275448.036583731[/C][C]3549.23703189356[/C][/ROW]
[ROW][C]0.69[/C][C]276163.742005219[/C][C]3688.77710697499[/C][/ROW]
[ROW][C]0.7[/C][C]276909.139739058[/C][C]3784.63589188001[/C][/ROW]
[ROW][C]0.71[/C][C]277677.064424253[/C][C]3838.23099099164[/C][/ROW]
[ROW][C]0.72[/C][C]278460.501168835[/C][C]3854.19972989162[/C][/ROW]
[ROW][C]0.73[/C][C]279252.866240699[/C][C]3838.22234404922[/C][/ROW]
[ROW][C]0.74[/C][C]280047.989798587[/C][C]3795.27164347443[/C][/ROW]
[ROW][C]0.75[/C][C]280839.834982784[/C][C]3727.32501596063[/C][/ROW]
[ROW][C]0.76[/C][C]281622.080319358[/C][C]3632.99565491691[/C][/ROW]
[ROW][C]0.77[/C][C]282387.75388337[/C][C]3508.34457292963[/C][/ROW]
[ROW][C]0.78[/C][C]283129.113162363[/C][C]3348.51127052288[/C][/ROW]
[ROW][C]0.79[/C][C]283837.906703165[/C][C]3149.83251895812[/C][/ROW]
[ROW][C]0.8[/C][C]284506.050060373[/C][C]2913.69107553313[/C][/ROW]
[ROW][C]0.81[/C][C]285126.641079969[/C][C]2647.07264939837[/C][/ROW]
[ROW][C]0.82[/C][C]285695.182443841[/C][C]2361.86840344109[/C][/ROW]
[ROW][C]0.83[/C][C]286210.918228412[/C][C]2075.50100518901[/C][/ROW]
[ROW][C]0.84[/C][C]286678.336332979[/C][C]1808.46579925725[/C][/ROW]
[ROW][C]0.85[/C][C]287109.089212625[/C][C]1585.49031982104[/C][/ROW]
[ROW][C]0.86[/C][C]287524.710173068[/C][C]1438.91824637565[/C][/ROW]
[ROW][C]0.87[/C][C]287960.337746038[/C][C]1417.38725454662[/C][/ROW]
[ROW][C]0.88[/C][C]288468.951949812[/C][C]1588.38703428109[/C][/ROW]
[ROW][C]0.89[/C][C]289124.218729048[/C][C]2019.94916034991[/C][/ROW]
[ROW][C]0.9[/C][C]290018.1772846[/C][C]2749.47137850680[/C][/ROW]
[ROW][C]0.91[/C][C]291248.770296506[/C][C]3756.26344171579[/C][/ROW]
[ROW][C]0.92[/C][C]292893.824185572[/C][C]4926.30242899284[/C][/ROW]
[ROW][C]0.93[/C][C]294975.372435268[/C][C]6023.3429400076[/C][/ROW]
[ROW][C]0.94[/C][C]297432.295675232[/C][C]6718.4076590547[/C][/ROW]
[ROW][C]0.95[/C][C]300134.257427388[/C][C]6719.32423713498[/C][/ROW]
[ROW][C]0.96[/C][C]302964.807627621[/C][C]6003.33199160499[/C][/ROW]
[ROW][C]0.97[/C][C]305937.293910909[/C][C]5100.54566502979[/C][/ROW]
[ROW][C]0.98[/C][C]309167.848692060[/C][C]5186.8753204925[/C][/ROW]
[ROW][C]0.99[/C][C]312473.330371455[/C][C]6771.65209911425[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38636&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38636&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
0.01257525.5084095661480.92575275970
0.02258218.309062831041.18479933369
0.03258817.586868284730.242663312679
0.04259255.875645579579.936723709115
0.05259574.740320444533.250939653316
0.06259829.893440668543.811123456015
0.07260059.589981833592.681651891597
0.08260285.556805088668.730727711939
0.09260519.281020970758.751060013019
0.1260765.861657858848.497296884342
0.11261025.939239852926.51199086556
0.12261297.103586532986.526670683416
0.13261575.2655505341027.06219821569
0.14261855.8636318121050.59749580900
0.15262134.6828116231058.85658995168
0.16262408.2296246531055.86950563053
0.17262673.7862555921042.16147127579
0.18262929.3366187171018.99895709907
0.19263173.515427975988.20638693586
0.2263405.635410034953.206211311508
0.21263625.761086959917.397589656537
0.22263834.755476750885.779030545748
0.23264034.232136231862.705170556822
0.24264226.38233636851.330183708606
0.25264413.693113344852.4346405476
0.26264598.608029646864.937355321125
0.27264783.198796264885.647013936605
0.28264968.911135393910.339352161156
0.29265156.427459264933.682413514506
0.3265345.660457336952.806853062232
0.31265535.86413593963.882811680668
0.32265725.828786091965.981551768755
0.33265914.11698699958.891239034222
0.34266099.29889732943.513027837382
0.35266280.154012062921.612608729616
0.36266455.819335177895.91429297297
0.37266625.876757112868.610284019093
0.38266790.382649734842.971963134449
0.39266949.849106665820.978324293177
0.4267105.189000861804.855161444966
0.41267257.637068957796.007289016655
0.42267408.657768721796.225208414245
0.43267559.848683709805.187925401954
0.44267712.846351415823.377291106456
0.45267869.239796228849.61842997962
0.46268030.495824603883.057015017731
0.47268197.899378247922.82756565952
0.48268372.51210996967.24890911785
0.49268555.1529773861014.57143646400
0.5268746.4059162871064.06808583407
0.51268946.6609780511114.09916691215
0.52269156.1956333051163.74529620727
0.53269375.3009334561213.40404283719
0.54269604.4517686511263.78872392259
0.55269844.5112323351317.83711648063
0.56270096.9470400801379.10390306567
0.57270364.0254458061453.00918281608
0.58270648.9387138531545.51132682304
0.59270955.8199036711662.46183680838
0.6271289.6067469761808.68862276283
0.61271655.7360555631986.15433014152
0.62272059.679819952193.05991476657
0.63272506.3691380682423.64344762382
0.64272999.5847979242668.89775074438
0.65273541.4148348512916.87345838602
0.66274131.8816132583154.56539197012
0.67274768.8191810473368.73094089091
0.68275448.0365837313549.23703189356
0.69276163.7420052193688.77710697499
0.7276909.1397390583784.63589188001
0.71277677.0644242533838.23099099164
0.72278460.5011688353854.19972989162
0.73279252.8662406993838.22234404922
0.74280047.9897985873795.27164347443
0.75280839.8349827843727.32501596063
0.76281622.0803193583632.99565491691
0.77282387.753883373508.34457292963
0.78283129.1131623633348.51127052288
0.79283837.9067031653149.83251895812
0.8284506.0500603732913.69107553313
0.81285126.6410799692647.07264939837
0.82285695.1824438412361.86840344109
0.83286210.9182284122075.50100518901
0.84286678.3363329791808.46579925725
0.85287109.0892126251585.49031982104
0.86287524.7101730681438.91824637565
0.87287960.3377460381417.38725454662
0.88288468.9519498121588.38703428109
0.89289124.2187290482019.94916034991
0.9290018.17728462749.47137850680
0.91291248.7702965063756.26344171579
0.92292893.8241855724926.30242899284
0.93294975.3724352686023.3429400076
0.94297432.2956752326718.4076590547
0.95300134.2574273886719.32423713498
0.96302964.8076276216003.33199160499
0.97305937.2939109095100.54566502979
0.98309167.8486920605186.8753204925
0.99312473.3303714556771.65209911425


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')