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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, 02 Aug 2010 10:14:58 +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/02/t1280744297b7942dv7sgptc7d.htm/, Retrieved Thu, 02 May 2024 03:53:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78211, Retrieved Thu, 02 May 2024 03:53:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsBogaerts Yannik
Estimated Impact201

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 A stap 11] [2010-08-02 10:14:58] [1596366c2ece8f787477cc7d1246d4c7] [Current]
-   P     [Harrell-Davis Quantiles] [Tijdreeks A stap 11] [2010-08-02 10:31:19] [f713c1ac4846c73da8c41c71cf7e0185]
-         [Harrell-Davis Quantiles] [Tijdreeks A stap 12] [2010-08-02 10:35:20] [f713c1ac4846c73da8c41c71cf7e0185]
- RMP     [Central Tendency] [Tijdreeks A stap 14] [2010-08-02 10:42:47] [f713c1ac4846c73da8c41c71cf7e0185]
- RMP     [Mean Plot] [Tijdreeks A stap 17] [2010-08-02 11:28:43] [f713c1ac4846c73da8c41c71cf7e0185]
- RMP     [(Partial) Autocorrelation Function] [Tijdreeks A stap 20] [2010-08-02 12:10:45] [f713c1ac4846c73da8c41c71cf7e0185]
-   P       [(Partial) Autocorrelation Function] [Tijdreeks A stap 21] [2010-08-02 12:18:06] [f713c1ac4846c73da8c41c71cf7e0185]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
442
441
440
438
458
457
442
432
433
433
434
436
439
439
441
436
460
453
435
421
412
408
402
409
410
410
416
410
437
431
411
398
394
395
389
404
397
401
402
383
406
400
377
372
362
365
361
372
355
365
367
341
370
366
333
320
298
306
293
313
293
304
304
286
320
313
283
272
251
262
247
268
251
257
261
242
274
272
243
234
217
231
209
226
208
214
222
194
230
226
197
188
175
190
165
176
159
169
170
141
170
164
132
123
113
125
101
99
87
90
89
66
102
97
65
54
33
49
30
34

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time14 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 14 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78211&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]14 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78211&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78211&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 time14 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0132.87015865256235.0671894587343
0.0239.010659217652910.2990049451315
0.0347.538061569992314.0807118564900
0.0457.078912154284915.8316268339225
0.0566.502431262175816.3926177040975
0.0675.224661029974515.9806946024993
0.0783.013761661070814.9584087675331
0.0889.90987053245814.1603200817288
0.0996.208656388287414.3541904257661
0.1102.34406302060615.7151774720802
0.11108.71201872057717.851338834878
0.12115.54000383251220.1581148034034
0.13122.84642662696222.0768039617971
0.14130.47469998720023.2169978077415
0.15138.16814857412423.4150156603987
0.16145.65563399557322.7485815805811
0.17152.72519199044721.5010109361639
0.18159.26942652712020.073461980795
0.19165.29454223462918.8570763813521
0.2170.89579593784718.1114844032528
0.21176.2124685667317.8920680032368
0.22181.38032527534918.0747822393582
0.23186.49687258887418.4442190882553
0.24191.60679548580818.7916428295935
0.25196.70632989419218.9713117312127
0.26201.75971755482818.9193409132836
0.27206.71946139386518.6478572438901
0.28211.54380610130818.2197064635335
0.29216.20786312782817.7247826689692
0.3220.70761418490917.2529932499403
0.31225.05798124592116.873566351831
0.32229.28715749837516.6261700414313
0.33233.42961344738816.5181959312341
0.34237.51982456048116.5336126343091
0.35241.58801443866616.6450579160444
0.36245.65830577594216.8253115783761
0.37249.74887723620117.0542535908215
0.38253.87324967521617.3191196668409
0.39258.0417629186217.6150241171857
0.4262.26260110499117.9359913332585
0.41266.54221275226118.2759710184402
0.42270.88543765615018.6263785143253
0.43275.29590754308318.9803177143983
0.44279.77722005193719.3377935460148
0.45284.33499585054619.7108956666857
0.46288.9793384857620.1258265806005
0.47293.72665163083420.6207874043941
0.48298.59949893541621.2277581372045
0.49303.62343530710721.9605380208081
0.5308.82055262805522.7933090509434
0.51314.20069395853423.6498013499015
0.52319.75250510154124.4089336882402
0.53325.43721256403624.9300193726169
0.54331.18782990792825.0791264716221
0.55336.91527181909424.7693673059847
0.56342.52086621806723.9839616404876
0.57347.91262380046622.7878698819869
0.58353.02112337814421.3188225942130
0.59357.81061818787919.7551646701481
0.6362.28215948626218.2785294142914
0.61366.46783538246417.0245127998708
0.62370.41787686684716.0533329556330
0.63374.18448750804715.3358987624176
0.64377.80709972447914.7745000569941
0.65381.3030908439314.2420533099417
0.66384.66608161673313.6255966279620
0.67387.87148436713712.8601705026771
0.68390.88682607405511.9343104304135
0.69393.68325603461610.8923869279601
0.7396.2448727826759.81062058884793
0.71398.5738761274328.77540979659541
0.72400.6914351693737.8651417162859
0.73402.6357262164237.13790205433605
0.74404.4591250134816.63715173191168
0.75406.2257701033416.39658136707887
0.76408.0090240114246.44472609858834
0.77409.8867213805456.79262911099868
0.78411.9317256477467.40471446410222
0.79414.197036223468.17583885672084
0.8416.6982214569728.93219391156974
0.81419.3996344527919.46793050864782
0.82422.2122018950329.5986740040813
0.83425.0076853538089.22563026207365
0.84427.6475782574168.37252970713056
0.85430.0173720182767.18365878995763
0.86432.0532352463775.87424943890993
0.87433.7509848657164.65624655291517
0.88435.1554566376933.67397739332194
0.89436.3374410053572.97266551509473
0.9437.3705448636732.51181338203185
0.91438.3205661238162.21941217105628
0.92439.2581957087552.06528996205711
0.93440.3029220126752.14261173191942
0.94441.6883640579452.72952917535065
0.95443.7806304732984.06223120499093
0.96446.9068806380625.75738775170656
0.97450.9470000472366.53500708418814
0.98455.0897834481455.19406058342652
0.99458.3324385728142.73870383543059

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 32.8701586525623 & 5.0671894587343 \tabularnewline
0.02 & 39.0106592176529 & 10.2990049451315 \tabularnewline
0.03 & 47.5380615699923 & 14.0807118564900 \tabularnewline
0.04 & 57.0789121542849 & 15.8316268339225 \tabularnewline
0.05 & 66.5024312621758 & 16.3926177040975 \tabularnewline
0.06 & 75.2246610299745 & 15.9806946024993 \tabularnewline
0.07 & 83.0137616610708 & 14.9584087675331 \tabularnewline
0.08 & 89.909870532458 & 14.1603200817288 \tabularnewline
0.09 & 96.2086563882874 & 14.3541904257661 \tabularnewline
0.1 & 102.344063020606 & 15.7151774720802 \tabularnewline
0.11 & 108.712018720577 & 17.851338834878 \tabularnewline
0.12 & 115.540003832512 & 20.1581148034034 \tabularnewline
0.13 & 122.846426626962 & 22.0768039617971 \tabularnewline
0.14 & 130.474699987200 & 23.2169978077415 \tabularnewline
0.15 & 138.168148574124 & 23.4150156603987 \tabularnewline
0.16 & 145.655633995573 & 22.7485815805811 \tabularnewline
0.17 & 152.725191990447 & 21.5010109361639 \tabularnewline
0.18 & 159.269426527120 & 20.073461980795 \tabularnewline
0.19 & 165.294542234629 & 18.8570763813521 \tabularnewline
0.2 & 170.895795937847 & 18.1114844032528 \tabularnewline
0.21 & 176.21246856673 & 17.8920680032368 \tabularnewline
0.22 & 181.380325275349 & 18.0747822393582 \tabularnewline
0.23 & 186.496872588874 & 18.4442190882553 \tabularnewline
0.24 & 191.606795485808 & 18.7916428295935 \tabularnewline
0.25 & 196.706329894192 & 18.9713117312127 \tabularnewline
0.26 & 201.759717554828 & 18.9193409132836 \tabularnewline
0.27 & 206.719461393865 & 18.6478572438901 \tabularnewline
0.28 & 211.543806101308 & 18.2197064635335 \tabularnewline
0.29 & 216.207863127828 & 17.7247826689692 \tabularnewline
0.3 & 220.707614184909 & 17.2529932499403 \tabularnewline
0.31 & 225.057981245921 & 16.873566351831 \tabularnewline
0.32 & 229.287157498375 & 16.6261700414313 \tabularnewline
0.33 & 233.429613447388 & 16.5181959312341 \tabularnewline
0.34 & 237.519824560481 & 16.5336126343091 \tabularnewline
0.35 & 241.588014438666 & 16.6450579160444 \tabularnewline
0.36 & 245.658305775942 & 16.8253115783761 \tabularnewline
0.37 & 249.748877236201 & 17.0542535908215 \tabularnewline
0.38 & 253.873249675216 & 17.3191196668409 \tabularnewline
0.39 & 258.04176291862 & 17.6150241171857 \tabularnewline
0.4 & 262.262601104991 & 17.9359913332585 \tabularnewline
0.41 & 266.542212752261 & 18.2759710184402 \tabularnewline
0.42 & 270.885437656150 & 18.6263785143253 \tabularnewline
0.43 & 275.295907543083 & 18.9803177143983 \tabularnewline
0.44 & 279.777220051937 & 19.3377935460148 \tabularnewline
0.45 & 284.334995850546 & 19.7108956666857 \tabularnewline
0.46 & 288.97933848576 & 20.1258265806005 \tabularnewline
0.47 & 293.726651630834 & 20.6207874043941 \tabularnewline
0.48 & 298.599498935416 & 21.2277581372045 \tabularnewline
0.49 & 303.623435307107 & 21.9605380208081 \tabularnewline
0.5 & 308.820552628055 & 22.7933090509434 \tabularnewline
0.51 & 314.200693958534 & 23.6498013499015 \tabularnewline
0.52 & 319.752505101541 & 24.4089336882402 \tabularnewline
0.53 & 325.437212564036 & 24.9300193726169 \tabularnewline
0.54 & 331.187829907928 & 25.0791264716221 \tabularnewline
0.55 & 336.915271819094 & 24.7693673059847 \tabularnewline
0.56 & 342.520866218067 & 23.9839616404876 \tabularnewline
0.57 & 347.912623800466 & 22.7878698819869 \tabularnewline
0.58 & 353.021123378144 & 21.3188225942130 \tabularnewline
0.59 & 357.810618187879 & 19.7551646701481 \tabularnewline
0.6 & 362.282159486262 & 18.2785294142914 \tabularnewline
0.61 & 366.467835382464 & 17.0245127998708 \tabularnewline
0.62 & 370.417876866847 & 16.0533329556330 \tabularnewline
0.63 & 374.184487508047 & 15.3358987624176 \tabularnewline
0.64 & 377.807099724479 & 14.7745000569941 \tabularnewline
0.65 & 381.30309084393 & 14.2420533099417 \tabularnewline
0.66 & 384.666081616733 & 13.6255966279620 \tabularnewline
0.67 & 387.871484367137 & 12.8601705026771 \tabularnewline
0.68 & 390.886826074055 & 11.9343104304135 \tabularnewline
0.69 & 393.683256034616 & 10.8923869279601 \tabularnewline
0.7 & 396.244872782675 & 9.81062058884793 \tabularnewline
0.71 & 398.573876127432 & 8.77540979659541 \tabularnewline
0.72 & 400.691435169373 & 7.8651417162859 \tabularnewline
0.73 & 402.635726216423 & 7.13790205433605 \tabularnewline
0.74 & 404.459125013481 & 6.63715173191168 \tabularnewline
0.75 & 406.225770103341 & 6.39658136707887 \tabularnewline
0.76 & 408.009024011424 & 6.44472609858834 \tabularnewline
0.77 & 409.886721380545 & 6.79262911099868 \tabularnewline
0.78 & 411.931725647746 & 7.40471446410222 \tabularnewline
0.79 & 414.19703622346 & 8.17583885672084 \tabularnewline
0.8 & 416.698221456972 & 8.93219391156974 \tabularnewline
0.81 & 419.399634452791 & 9.46793050864782 \tabularnewline
0.82 & 422.212201895032 & 9.5986740040813 \tabularnewline
0.83 & 425.007685353808 & 9.22563026207365 \tabularnewline
0.84 & 427.647578257416 & 8.37252970713056 \tabularnewline
0.85 & 430.017372018276 & 7.18365878995763 \tabularnewline
0.86 & 432.053235246377 & 5.87424943890993 \tabularnewline
0.87 & 433.750984865716 & 4.65624655291517 \tabularnewline
0.88 & 435.155456637693 & 3.67397739332194 \tabularnewline
0.89 & 436.337441005357 & 2.97266551509473 \tabularnewline
0.9 & 437.370544863673 & 2.51181338203185 \tabularnewline
0.91 & 438.320566123816 & 2.21941217105628 \tabularnewline
0.92 & 439.258195708755 & 2.06528996205711 \tabularnewline
0.93 & 440.302922012675 & 2.14261173191942 \tabularnewline
0.94 & 441.688364057945 & 2.72952917535065 \tabularnewline
0.95 & 443.780630473298 & 4.06223120499093 \tabularnewline
0.96 & 446.906880638062 & 5.75738775170656 \tabularnewline
0.97 & 450.947000047236 & 6.53500708418814 \tabularnewline
0.98 & 455.089783448145 & 5.19406058342652 \tabularnewline
0.99 & 458.332438572814 & 2.73870383543059 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78211&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]32.8701586525623[/C][C]5.0671894587343[/C][/ROW]
[ROW][C]0.02[/C][C]39.0106592176529[/C][C]10.2990049451315[/C][/ROW]
[ROW][C]0.03[/C][C]47.5380615699923[/C][C]14.0807118564900[/C][/ROW]
[ROW][C]0.04[/C][C]57.0789121542849[/C][C]15.8316268339225[/C][/ROW]
[ROW][C]0.05[/C][C]66.5024312621758[/C][C]16.3926177040975[/C][/ROW]
[ROW][C]0.06[/C][C]75.2246610299745[/C][C]15.9806946024993[/C][/ROW]
[ROW][C]0.07[/C][C]83.0137616610708[/C][C]14.9584087675331[/C][/ROW]
[ROW][C]0.08[/C][C]89.909870532458[/C][C]14.1603200817288[/C][/ROW]
[ROW][C]0.09[/C][C]96.2086563882874[/C][C]14.3541904257661[/C][/ROW]
[ROW][C]0.1[/C][C]102.344063020606[/C][C]15.7151774720802[/C][/ROW]
[ROW][C]0.11[/C][C]108.712018720577[/C][C]17.851338834878[/C][/ROW]
[ROW][C]0.12[/C][C]115.540003832512[/C][C]20.1581148034034[/C][/ROW]
[ROW][C]0.13[/C][C]122.846426626962[/C][C]22.0768039617971[/C][/ROW]
[ROW][C]0.14[/C][C]130.474699987200[/C][C]23.2169978077415[/C][/ROW]
[ROW][C]0.15[/C][C]138.168148574124[/C][C]23.4150156603987[/C][/ROW]
[ROW][C]0.16[/C][C]145.655633995573[/C][C]22.7485815805811[/C][/ROW]
[ROW][C]0.17[/C][C]152.725191990447[/C][C]21.5010109361639[/C][/ROW]
[ROW][C]0.18[/C][C]159.269426527120[/C][C]20.073461980795[/C][/ROW]
[ROW][C]0.19[/C][C]165.294542234629[/C][C]18.8570763813521[/C][/ROW]
[ROW][C]0.2[/C][C]170.895795937847[/C][C]18.1114844032528[/C][/ROW]
[ROW][C]0.21[/C][C]176.21246856673[/C][C]17.8920680032368[/C][/ROW]
[ROW][C]0.22[/C][C]181.380325275349[/C][C]18.0747822393582[/C][/ROW]
[ROW][C]0.23[/C][C]186.496872588874[/C][C]18.4442190882553[/C][/ROW]
[ROW][C]0.24[/C][C]191.606795485808[/C][C]18.7916428295935[/C][/ROW]
[ROW][C]0.25[/C][C]196.706329894192[/C][C]18.9713117312127[/C][/ROW]
[ROW][C]0.26[/C][C]201.759717554828[/C][C]18.9193409132836[/C][/ROW]
[ROW][C]0.27[/C][C]206.719461393865[/C][C]18.6478572438901[/C][/ROW]
[ROW][C]0.28[/C][C]211.543806101308[/C][C]18.2197064635335[/C][/ROW]
[ROW][C]0.29[/C][C]216.207863127828[/C][C]17.7247826689692[/C][/ROW]
[ROW][C]0.3[/C][C]220.707614184909[/C][C]17.2529932499403[/C][/ROW]
[ROW][C]0.31[/C][C]225.057981245921[/C][C]16.873566351831[/C][/ROW]
[ROW][C]0.32[/C][C]229.287157498375[/C][C]16.6261700414313[/C][/ROW]
[ROW][C]0.33[/C][C]233.429613447388[/C][C]16.5181959312341[/C][/ROW]
[ROW][C]0.34[/C][C]237.519824560481[/C][C]16.5336126343091[/C][/ROW]
[ROW][C]0.35[/C][C]241.588014438666[/C][C]16.6450579160444[/C][/ROW]
[ROW][C]0.36[/C][C]245.658305775942[/C][C]16.8253115783761[/C][/ROW]
[ROW][C]0.37[/C][C]249.748877236201[/C][C]17.0542535908215[/C][/ROW]
[ROW][C]0.38[/C][C]253.873249675216[/C][C]17.3191196668409[/C][/ROW]
[ROW][C]0.39[/C][C]258.04176291862[/C][C]17.6150241171857[/C][/ROW]
[ROW][C]0.4[/C][C]262.262601104991[/C][C]17.9359913332585[/C][/ROW]
[ROW][C]0.41[/C][C]266.542212752261[/C][C]18.2759710184402[/C][/ROW]
[ROW][C]0.42[/C][C]270.885437656150[/C][C]18.6263785143253[/C][/ROW]
[ROW][C]0.43[/C][C]275.295907543083[/C][C]18.9803177143983[/C][/ROW]
[ROW][C]0.44[/C][C]279.777220051937[/C][C]19.3377935460148[/C][/ROW]
[ROW][C]0.45[/C][C]284.334995850546[/C][C]19.7108956666857[/C][/ROW]
[ROW][C]0.46[/C][C]288.97933848576[/C][C]20.1258265806005[/C][/ROW]
[ROW][C]0.47[/C][C]293.726651630834[/C][C]20.6207874043941[/C][/ROW]
[ROW][C]0.48[/C][C]298.599498935416[/C][C]21.2277581372045[/C][/ROW]
[ROW][C]0.49[/C][C]303.623435307107[/C][C]21.9605380208081[/C][/ROW]
[ROW][C]0.5[/C][C]308.820552628055[/C][C]22.7933090509434[/C][/ROW]
[ROW][C]0.51[/C][C]314.200693958534[/C][C]23.6498013499015[/C][/ROW]
[ROW][C]0.52[/C][C]319.752505101541[/C][C]24.4089336882402[/C][/ROW]
[ROW][C]0.53[/C][C]325.437212564036[/C][C]24.9300193726169[/C][/ROW]
[ROW][C]0.54[/C][C]331.187829907928[/C][C]25.0791264716221[/C][/ROW]
[ROW][C]0.55[/C][C]336.915271819094[/C][C]24.7693673059847[/C][/ROW]
[ROW][C]0.56[/C][C]342.520866218067[/C][C]23.9839616404876[/C][/ROW]
[ROW][C]0.57[/C][C]347.912623800466[/C][C]22.7878698819869[/C][/ROW]
[ROW][C]0.58[/C][C]353.021123378144[/C][C]21.3188225942130[/C][/ROW]
[ROW][C]0.59[/C][C]357.810618187879[/C][C]19.7551646701481[/C][/ROW]
[ROW][C]0.6[/C][C]362.282159486262[/C][C]18.2785294142914[/C][/ROW]
[ROW][C]0.61[/C][C]366.467835382464[/C][C]17.0245127998708[/C][/ROW]
[ROW][C]0.62[/C][C]370.417876866847[/C][C]16.0533329556330[/C][/ROW]
[ROW][C]0.63[/C][C]374.184487508047[/C][C]15.3358987624176[/C][/ROW]
[ROW][C]0.64[/C][C]377.807099724479[/C][C]14.7745000569941[/C][/ROW]
[ROW][C]0.65[/C][C]381.30309084393[/C][C]14.2420533099417[/C][/ROW]
[ROW][C]0.66[/C][C]384.666081616733[/C][C]13.6255966279620[/C][/ROW]
[ROW][C]0.67[/C][C]387.871484367137[/C][C]12.8601705026771[/C][/ROW]
[ROW][C]0.68[/C][C]390.886826074055[/C][C]11.9343104304135[/C][/ROW]
[ROW][C]0.69[/C][C]393.683256034616[/C][C]10.8923869279601[/C][/ROW]
[ROW][C]0.7[/C][C]396.244872782675[/C][C]9.81062058884793[/C][/ROW]
[ROW][C]0.71[/C][C]398.573876127432[/C][C]8.77540979659541[/C][/ROW]
[ROW][C]0.72[/C][C]400.691435169373[/C][C]7.8651417162859[/C][/ROW]
[ROW][C]0.73[/C][C]402.635726216423[/C][C]7.13790205433605[/C][/ROW]
[ROW][C]0.74[/C][C]404.459125013481[/C][C]6.63715173191168[/C][/ROW]
[ROW][C]0.75[/C][C]406.225770103341[/C][C]6.39658136707887[/C][/ROW]
[ROW][C]0.76[/C][C]408.009024011424[/C][C]6.44472609858834[/C][/ROW]
[ROW][C]0.77[/C][C]409.886721380545[/C][C]6.79262911099868[/C][/ROW]
[ROW][C]0.78[/C][C]411.931725647746[/C][C]7.40471446410222[/C][/ROW]
[ROW][C]0.79[/C][C]414.19703622346[/C][C]8.17583885672084[/C][/ROW]
[ROW][C]0.8[/C][C]416.698221456972[/C][C]8.93219391156974[/C][/ROW]
[ROW][C]0.81[/C][C]419.399634452791[/C][C]9.46793050864782[/C][/ROW]
[ROW][C]0.82[/C][C]422.212201895032[/C][C]9.5986740040813[/C][/ROW]
[ROW][C]0.83[/C][C]425.007685353808[/C][C]9.22563026207365[/C][/ROW]
[ROW][C]0.84[/C][C]427.647578257416[/C][C]8.37252970713056[/C][/ROW]
[ROW][C]0.85[/C][C]430.017372018276[/C][C]7.18365878995763[/C][/ROW]
[ROW][C]0.86[/C][C]432.053235246377[/C][C]5.87424943890993[/C][/ROW]
[ROW][C]0.87[/C][C]433.750984865716[/C][C]4.65624655291517[/C][/ROW]
[ROW][C]0.88[/C][C]435.155456637693[/C][C]3.67397739332194[/C][/ROW]
[ROW][C]0.89[/C][C]436.337441005357[/C][C]2.97266551509473[/C][/ROW]
[ROW][C]0.9[/C][C]437.370544863673[/C][C]2.51181338203185[/C][/ROW]
[ROW][C]0.91[/C][C]438.320566123816[/C][C]2.21941217105628[/C][/ROW]
[ROW][C]0.92[/C][C]439.258195708755[/C][C]2.06528996205711[/C][/ROW]
[ROW][C]0.93[/C][C]440.302922012675[/C][C]2.14261173191942[/C][/ROW]
[ROW][C]0.94[/C][C]441.688364057945[/C][C]2.72952917535065[/C][/ROW]
[ROW][C]0.95[/C][C]443.780630473298[/C][C]4.06223120499093[/C][/ROW]
[ROW][C]0.96[/C][C]446.906880638062[/C][C]5.75738775170656[/C][/ROW]
[ROW][C]0.97[/C][C]450.947000047236[/C][C]6.53500708418814[/C][/ROW]
[ROW][C]0.98[/C][C]455.089783448145[/C][C]5.19406058342652[/C][/ROW]
[ROW][C]0.99[/C][C]458.332438572814[/C][C]2.73870383543059[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78211&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78211&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
0.0132.87015865256235.0671894587343
0.0239.010659217652910.2990049451315
0.0347.538061569992314.0807118564900
0.0457.078912154284915.8316268339225
0.0566.502431262175816.3926177040975
0.0675.224661029974515.9806946024993
0.0783.013761661070814.9584087675331
0.0889.90987053245814.1603200817288
0.0996.208656388287414.3541904257661
0.1102.34406302060615.7151774720802
0.11108.71201872057717.851338834878
0.12115.54000383251220.1581148034034
0.13122.84642662696222.0768039617971
0.14130.47469998720023.2169978077415
0.15138.16814857412423.4150156603987
0.16145.65563399557322.7485815805811
0.17152.72519199044721.5010109361639
0.18159.26942652712020.073461980795
0.19165.29454223462918.8570763813521
0.2170.89579593784718.1114844032528
0.21176.2124685667317.8920680032368
0.22181.38032527534918.0747822393582
0.23186.49687258887418.4442190882553
0.24191.60679548580818.7916428295935
0.25196.70632989419218.9713117312127
0.26201.75971755482818.9193409132836
0.27206.71946139386518.6478572438901
0.28211.54380610130818.2197064635335
0.29216.20786312782817.7247826689692
0.3220.70761418490917.2529932499403
0.31225.05798124592116.873566351831
0.32229.28715749837516.6261700414313
0.33233.42961344738816.5181959312341
0.34237.51982456048116.5336126343091
0.35241.58801443866616.6450579160444
0.36245.65830577594216.8253115783761
0.37249.74887723620117.0542535908215
0.38253.87324967521617.3191196668409
0.39258.0417629186217.6150241171857
0.4262.26260110499117.9359913332585
0.41266.54221275226118.2759710184402
0.42270.88543765615018.6263785143253
0.43275.29590754308318.9803177143983
0.44279.77722005193719.3377935460148
0.45284.33499585054619.7108956666857
0.46288.9793384857620.1258265806005
0.47293.72665163083420.6207874043941
0.48298.59949893541621.2277581372045
0.49303.62343530710721.9605380208081
0.5308.82055262805522.7933090509434
0.51314.20069395853423.6498013499015
0.52319.75250510154124.4089336882402
0.53325.43721256403624.9300193726169
0.54331.18782990792825.0791264716221
0.55336.91527181909424.7693673059847
0.56342.52086621806723.9839616404876
0.57347.91262380046622.7878698819869
0.58353.02112337814421.3188225942130
0.59357.81061818787919.7551646701481
0.6362.28215948626218.2785294142914
0.61366.46783538246417.0245127998708
0.62370.41787686684716.0533329556330
0.63374.18448750804715.3358987624176
0.64377.80709972447914.7745000569941
0.65381.3030908439314.2420533099417
0.66384.66608161673313.6255966279620
0.67387.87148436713712.8601705026771
0.68390.88682607405511.9343104304135
0.69393.68325603461610.8923869279601
0.7396.2448727826759.81062058884793
0.71398.5738761274328.77540979659541
0.72400.6914351693737.8651417162859
0.73402.6357262164237.13790205433605
0.74404.4591250134816.63715173191168
0.75406.2257701033416.39658136707887
0.76408.0090240114246.44472609858834
0.77409.8867213805456.79262911099868
0.78411.9317256477467.40471446410222
0.79414.197036223468.17583885672084
0.8416.6982214569728.93219391156974
0.81419.3996344527919.46793050864782
0.82422.2122018950329.5986740040813
0.83425.0076853538089.22563026207365
0.84427.6475782574168.37252970713056
0.85430.0173720182767.18365878995763
0.86432.0532352463775.87424943890993
0.87433.7509848657164.65624655291517
0.88435.1554566376933.67397739332194
0.89436.3374410053572.97266551509473
0.9437.3705448636732.51181338203185
0.91438.3205661238162.21941217105628
0.92439.2581957087552.06528996205711
0.93440.3029220126752.14261173191942
0.94441.6883640579452.72952917535065
0.95443.7806304732984.06223120499093
0.96446.9068806380625.75738775170656
0.97450.9470000472366.53500708418814
0.98455.0897834481455.19406058342652
0.99458.3324385728142.73870383543059


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')