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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 computationTue, 11 Oct 2011 11:23:40 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/11/t13183466633rzy5exnvr0nbts.htm/, Retrieved Sat, 11 May 2024 12:26:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128116, Retrieved Sat, 11 May 2024 12:26:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact90

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] [hd retail quantil...] [2011-10-11 15:23:40] [b44111bcd41b31de06c81f2dca643b69] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
293896
295705
339828
336278
346017
351623
352478
356391
333962
336828
344530
406516
319235
314750
362781
352440
374399
367418
362980
376600
346981
349571
357797
419221
329877
324252
375221
359533
392530
377686
373303
388904
354829
369553
378740
427251
343705
345062
374186
370241
399458
379886
385254
384375
352107
351566
337330
386331
311953
301261
330481
331632
349725
346615
350251
355782
326844
341207
342127
403845
318619
315067
365498
362038
371518
364774
368462
369199
351696
361750
372533
434288

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'AstonUniversity' @ aston.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128116&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128116&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128116&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'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01295084.7978609383275.18653083754
0.02297483.7872073195626.06138260431
0.03300744.9939819317357.84643847992
0.04304356.2572342367908.0079324074
0.05307866.5157662147513.85234027995
0.06311008.6091290376733.61452519693
0.07313712.4019213186059.88580672661
0.08316041.3358106255721.78131597283
0.09318109.3104974375689.09798026802
0.1320019.48534335806.28466305237
0.11321837.2982737225930.26451622561
0.12323589.9966309365976.49520791152
0.13325279.0700356235919.4857789903
0.14326894.7171426895774.1287969669
0.15328426.6437767245574.32785746423
0.16329869.6900446225357.48788218131
0.17331225.1414928915151.039356805
0.18332499.4153557064970.99295434084
0.19333701.7284820194821.3849031678
0.2334841.8598560364697.4549060674
0.21335928.5619279794592.15007567536
0.22336968.7400083244496.60762348637
0.23337967.2704124394403.93191148921
0.24338927.2421068884307.98208504422
0.25339850.4197305524205.78828389987
0.26340737.7755109374095.82907690035
0.27341589.9853329793979.6833171273
0.28342407.818626343860.91854726901
0.29343192.3781619893742.71401361361
0.3343945.1731002483629.13419617709
0.31344668.0401099173522.28247512366
0.32345362.9590313893423.15389597977
0.33346031.8330035783329.8127329908
0.34346676.3104296963241.14836560928
0.35347297.7142881053153.49420633414
0.36347897.1156146893065.25853307273
0.37348475.5498345252976.54463193211
0.38349034.3366717042890.23413583062
0.39349575.4357591342810.92715619219
0.4350101.7571261842746.84886584904
0.41350617.3507271092707.0965831011
0.42351127.4202209222699.15480915162
0.43351638.1382035022730.14874402758
0.44352156.2761110772802.70644193881
0.45352688.6949739262915.66906253352
0.46353241.7672497633063.27411994488
0.47353820.811434383237.23163841634
0.48354429.6188993573424.8289871236
0.49355070.1376783993615.24860330018
0.5355742.3537685133795.78577643086
0.51356444.3810843973955.91227907938
0.52357172.741067244088.73564586843
0.53357922.7865125834187.75339800005
0.54358689.2052713524252.67494058458
0.55359466.530955184283.36735969775
0.56360249.5911325344284.70760774032
0.57361033.838433254261.56785839957
0.58361815.5340876184219.95181857316
0.59362591.7822743044165.09056177431
0.6363360.4413860914101.11767827004
0.61364119.958909414030.82632323597
0.62364869.1854457353954.52768887309
0.63365607.2187913633873.66655980228
0.64366333.3129458153787.980977063
0.65367046.864770183696.52243794762
0.66367747.4698352263601.54402718834
0.67368435.0252354833504.4302303091
0.68369109.8543255063407.9907358754
0.69369772.8357160313315.26510119386
0.7370425.5316703813230.17301623797
0.71371070.3222530423155.8561217681
0.72371710.5546973423096.86742565089
0.73372350.7091003473057.40246402285
0.74372996.5630073433043.55483617073
0.75373655.3146798873061.56363605238
0.76374335.6072295463117.57098738466
0.77375047.3942183013217.0629041433
0.78375801.6118872263362.80535696379
0.79376609.6801299843552.62517184818
0.8377482.9410959053781.42242970688
0.81378432.2424820744040.58311796652
0.82379467.9418702544318.59475964965
0.83380600.5889576414608.17075063043
0.84381842.3750917974909.00250823701
0.85383209.1102009065231.44404652156
0.86384722.0860712355596.68038465971
0.87386408.943371626027.98159464422
0.88388302.9022196616539.02339790749
0.89390440.6567397977119.48430872267
0.9392860.6164057837733.21820267436
0.91395603.9400213458338.38347094083
0.92398719.2606584138920.13095393732
0.93402267.1321317939509.55156990642
0.94406314.13322328710142.4929545464
0.95410905.62976793110737.4109004597
0.96416015.51734242610991.526734528
0.97421480.13796973110487.2397561706
0.98426906.2988078059112.27814564109
0.99431538.2475050927584.0820917421

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 295084.797860938 & 3275.18653083754 \tabularnewline
0.02 & 297483.787207319 & 5626.06138260431 \tabularnewline
0.03 & 300744.993981931 & 7357.84643847992 \tabularnewline
0.04 & 304356.257234236 & 7908.0079324074 \tabularnewline
0.05 & 307866.515766214 & 7513.85234027995 \tabularnewline
0.06 & 311008.609129037 & 6733.61452519693 \tabularnewline
0.07 & 313712.401921318 & 6059.88580672661 \tabularnewline
0.08 & 316041.335810625 & 5721.78131597283 \tabularnewline
0.09 & 318109.310497437 & 5689.09798026802 \tabularnewline
0.1 & 320019.4853433 & 5806.28466305237 \tabularnewline
0.11 & 321837.298273722 & 5930.26451622561 \tabularnewline
0.12 & 323589.996630936 & 5976.49520791152 \tabularnewline
0.13 & 325279.070035623 & 5919.4857789903 \tabularnewline
0.14 & 326894.717142689 & 5774.1287969669 \tabularnewline
0.15 & 328426.643776724 & 5574.32785746423 \tabularnewline
0.16 & 329869.690044622 & 5357.48788218131 \tabularnewline
0.17 & 331225.141492891 & 5151.039356805 \tabularnewline
0.18 & 332499.415355706 & 4970.99295434084 \tabularnewline
0.19 & 333701.728482019 & 4821.3849031678 \tabularnewline
0.2 & 334841.859856036 & 4697.4549060674 \tabularnewline
0.21 & 335928.561927979 & 4592.15007567536 \tabularnewline
0.22 & 336968.740008324 & 4496.60762348637 \tabularnewline
0.23 & 337967.270412439 & 4403.93191148921 \tabularnewline
0.24 & 338927.242106888 & 4307.98208504422 \tabularnewline
0.25 & 339850.419730552 & 4205.78828389987 \tabularnewline
0.26 & 340737.775510937 & 4095.82907690035 \tabularnewline
0.27 & 341589.985332979 & 3979.6833171273 \tabularnewline
0.28 & 342407.81862634 & 3860.91854726901 \tabularnewline
0.29 & 343192.378161989 & 3742.71401361361 \tabularnewline
0.3 & 343945.173100248 & 3629.13419617709 \tabularnewline
0.31 & 344668.040109917 & 3522.28247512366 \tabularnewline
0.32 & 345362.959031389 & 3423.15389597977 \tabularnewline
0.33 & 346031.833003578 & 3329.8127329908 \tabularnewline
0.34 & 346676.310429696 & 3241.14836560928 \tabularnewline
0.35 & 347297.714288105 & 3153.49420633414 \tabularnewline
0.36 & 347897.115614689 & 3065.25853307273 \tabularnewline
0.37 & 348475.549834525 & 2976.54463193211 \tabularnewline
0.38 & 349034.336671704 & 2890.23413583062 \tabularnewline
0.39 & 349575.435759134 & 2810.92715619219 \tabularnewline
0.4 & 350101.757126184 & 2746.84886584904 \tabularnewline
0.41 & 350617.350727109 & 2707.0965831011 \tabularnewline
0.42 & 351127.420220922 & 2699.15480915162 \tabularnewline
0.43 & 351638.138203502 & 2730.14874402758 \tabularnewline
0.44 & 352156.276111077 & 2802.70644193881 \tabularnewline
0.45 & 352688.694973926 & 2915.66906253352 \tabularnewline
0.46 & 353241.767249763 & 3063.27411994488 \tabularnewline
0.47 & 353820.81143438 & 3237.23163841634 \tabularnewline
0.48 & 354429.618899357 & 3424.8289871236 \tabularnewline
0.49 & 355070.137678399 & 3615.24860330018 \tabularnewline
0.5 & 355742.353768513 & 3795.78577643086 \tabularnewline
0.51 & 356444.381084397 & 3955.91227907938 \tabularnewline
0.52 & 357172.74106724 & 4088.73564586843 \tabularnewline
0.53 & 357922.786512583 & 4187.75339800005 \tabularnewline
0.54 & 358689.205271352 & 4252.67494058458 \tabularnewline
0.55 & 359466.53095518 & 4283.36735969775 \tabularnewline
0.56 & 360249.591132534 & 4284.70760774032 \tabularnewline
0.57 & 361033.83843325 & 4261.56785839957 \tabularnewline
0.58 & 361815.534087618 & 4219.95181857316 \tabularnewline
0.59 & 362591.782274304 & 4165.09056177431 \tabularnewline
0.6 & 363360.441386091 & 4101.11767827004 \tabularnewline
0.61 & 364119.95890941 & 4030.82632323597 \tabularnewline
0.62 & 364869.185445735 & 3954.52768887309 \tabularnewline
0.63 & 365607.218791363 & 3873.66655980228 \tabularnewline
0.64 & 366333.312945815 & 3787.980977063 \tabularnewline
0.65 & 367046.86477018 & 3696.52243794762 \tabularnewline
0.66 & 367747.469835226 & 3601.54402718834 \tabularnewline
0.67 & 368435.025235483 & 3504.4302303091 \tabularnewline
0.68 & 369109.854325506 & 3407.9907358754 \tabularnewline
0.69 & 369772.835716031 & 3315.26510119386 \tabularnewline
0.7 & 370425.531670381 & 3230.17301623797 \tabularnewline
0.71 & 371070.322253042 & 3155.8561217681 \tabularnewline
0.72 & 371710.554697342 & 3096.86742565089 \tabularnewline
0.73 & 372350.709100347 & 3057.40246402285 \tabularnewline
0.74 & 372996.563007343 & 3043.55483617073 \tabularnewline
0.75 & 373655.314679887 & 3061.56363605238 \tabularnewline
0.76 & 374335.607229546 & 3117.57098738466 \tabularnewline
0.77 & 375047.394218301 & 3217.0629041433 \tabularnewline
0.78 & 375801.611887226 & 3362.80535696379 \tabularnewline
0.79 & 376609.680129984 & 3552.62517184818 \tabularnewline
0.8 & 377482.941095905 & 3781.42242970688 \tabularnewline
0.81 & 378432.242482074 & 4040.58311796652 \tabularnewline
0.82 & 379467.941870254 & 4318.59475964965 \tabularnewline
0.83 & 380600.588957641 & 4608.17075063043 \tabularnewline
0.84 & 381842.375091797 & 4909.00250823701 \tabularnewline
0.85 & 383209.110200906 & 5231.44404652156 \tabularnewline
0.86 & 384722.086071235 & 5596.68038465971 \tabularnewline
0.87 & 386408.94337162 & 6027.98159464422 \tabularnewline
0.88 & 388302.902219661 & 6539.02339790749 \tabularnewline
0.89 & 390440.656739797 & 7119.48430872267 \tabularnewline
0.9 & 392860.616405783 & 7733.21820267436 \tabularnewline
0.91 & 395603.940021345 & 8338.38347094083 \tabularnewline
0.92 & 398719.260658413 & 8920.13095393732 \tabularnewline
0.93 & 402267.132131793 & 9509.55156990642 \tabularnewline
0.94 & 406314.133223287 & 10142.4929545464 \tabularnewline
0.95 & 410905.629767931 & 10737.4109004597 \tabularnewline
0.96 & 416015.517342426 & 10991.526734528 \tabularnewline
0.97 & 421480.137969731 & 10487.2397561706 \tabularnewline
0.98 & 426906.298807805 & 9112.27814564109 \tabularnewline
0.99 & 431538.247505092 & 7584.0820917421 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128116&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]295084.797860938[/C][C]3275.18653083754[/C][/ROW]
[ROW][C]0.02[/C][C]297483.787207319[/C][C]5626.06138260431[/C][/ROW]
[ROW][C]0.03[/C][C]300744.993981931[/C][C]7357.84643847992[/C][/ROW]
[ROW][C]0.04[/C][C]304356.257234236[/C][C]7908.0079324074[/C][/ROW]
[ROW][C]0.05[/C][C]307866.515766214[/C][C]7513.85234027995[/C][/ROW]
[ROW][C]0.06[/C][C]311008.609129037[/C][C]6733.61452519693[/C][/ROW]
[ROW][C]0.07[/C][C]313712.401921318[/C][C]6059.88580672661[/C][/ROW]
[ROW][C]0.08[/C][C]316041.335810625[/C][C]5721.78131597283[/C][/ROW]
[ROW][C]0.09[/C][C]318109.310497437[/C][C]5689.09798026802[/C][/ROW]
[ROW][C]0.1[/C][C]320019.4853433[/C][C]5806.28466305237[/C][/ROW]
[ROW][C]0.11[/C][C]321837.298273722[/C][C]5930.26451622561[/C][/ROW]
[ROW][C]0.12[/C][C]323589.996630936[/C][C]5976.49520791152[/C][/ROW]
[ROW][C]0.13[/C][C]325279.070035623[/C][C]5919.4857789903[/C][/ROW]
[ROW][C]0.14[/C][C]326894.717142689[/C][C]5774.1287969669[/C][/ROW]
[ROW][C]0.15[/C][C]328426.643776724[/C][C]5574.32785746423[/C][/ROW]
[ROW][C]0.16[/C][C]329869.690044622[/C][C]5357.48788218131[/C][/ROW]
[ROW][C]0.17[/C][C]331225.141492891[/C][C]5151.039356805[/C][/ROW]
[ROW][C]0.18[/C][C]332499.415355706[/C][C]4970.99295434084[/C][/ROW]
[ROW][C]0.19[/C][C]333701.728482019[/C][C]4821.3849031678[/C][/ROW]
[ROW][C]0.2[/C][C]334841.859856036[/C][C]4697.4549060674[/C][/ROW]
[ROW][C]0.21[/C][C]335928.561927979[/C][C]4592.15007567536[/C][/ROW]
[ROW][C]0.22[/C][C]336968.740008324[/C][C]4496.60762348637[/C][/ROW]
[ROW][C]0.23[/C][C]337967.270412439[/C][C]4403.93191148921[/C][/ROW]
[ROW][C]0.24[/C][C]338927.242106888[/C][C]4307.98208504422[/C][/ROW]
[ROW][C]0.25[/C][C]339850.419730552[/C][C]4205.78828389987[/C][/ROW]
[ROW][C]0.26[/C][C]340737.775510937[/C][C]4095.82907690035[/C][/ROW]
[ROW][C]0.27[/C][C]341589.985332979[/C][C]3979.6833171273[/C][/ROW]
[ROW][C]0.28[/C][C]342407.81862634[/C][C]3860.91854726901[/C][/ROW]
[ROW][C]0.29[/C][C]343192.378161989[/C][C]3742.71401361361[/C][/ROW]
[ROW][C]0.3[/C][C]343945.173100248[/C][C]3629.13419617709[/C][/ROW]
[ROW][C]0.31[/C][C]344668.040109917[/C][C]3522.28247512366[/C][/ROW]
[ROW][C]0.32[/C][C]345362.959031389[/C][C]3423.15389597977[/C][/ROW]
[ROW][C]0.33[/C][C]346031.833003578[/C][C]3329.8127329908[/C][/ROW]
[ROW][C]0.34[/C][C]346676.310429696[/C][C]3241.14836560928[/C][/ROW]
[ROW][C]0.35[/C][C]347297.714288105[/C][C]3153.49420633414[/C][/ROW]
[ROW][C]0.36[/C][C]347897.115614689[/C][C]3065.25853307273[/C][/ROW]
[ROW][C]0.37[/C][C]348475.549834525[/C][C]2976.54463193211[/C][/ROW]
[ROW][C]0.38[/C][C]349034.336671704[/C][C]2890.23413583062[/C][/ROW]
[ROW][C]0.39[/C][C]349575.435759134[/C][C]2810.92715619219[/C][/ROW]
[ROW][C]0.4[/C][C]350101.757126184[/C][C]2746.84886584904[/C][/ROW]
[ROW][C]0.41[/C][C]350617.350727109[/C][C]2707.0965831011[/C][/ROW]
[ROW][C]0.42[/C][C]351127.420220922[/C][C]2699.15480915162[/C][/ROW]
[ROW][C]0.43[/C][C]351638.138203502[/C][C]2730.14874402758[/C][/ROW]
[ROW][C]0.44[/C][C]352156.276111077[/C][C]2802.70644193881[/C][/ROW]
[ROW][C]0.45[/C][C]352688.694973926[/C][C]2915.66906253352[/C][/ROW]
[ROW][C]0.46[/C][C]353241.767249763[/C][C]3063.27411994488[/C][/ROW]
[ROW][C]0.47[/C][C]353820.81143438[/C][C]3237.23163841634[/C][/ROW]
[ROW][C]0.48[/C][C]354429.618899357[/C][C]3424.8289871236[/C][/ROW]
[ROW][C]0.49[/C][C]355070.137678399[/C][C]3615.24860330018[/C][/ROW]
[ROW][C]0.5[/C][C]355742.353768513[/C][C]3795.78577643086[/C][/ROW]
[ROW][C]0.51[/C][C]356444.381084397[/C][C]3955.91227907938[/C][/ROW]
[ROW][C]0.52[/C][C]357172.74106724[/C][C]4088.73564586843[/C][/ROW]
[ROW][C]0.53[/C][C]357922.786512583[/C][C]4187.75339800005[/C][/ROW]
[ROW][C]0.54[/C][C]358689.205271352[/C][C]4252.67494058458[/C][/ROW]
[ROW][C]0.55[/C][C]359466.53095518[/C][C]4283.36735969775[/C][/ROW]
[ROW][C]0.56[/C][C]360249.591132534[/C][C]4284.70760774032[/C][/ROW]
[ROW][C]0.57[/C][C]361033.83843325[/C][C]4261.56785839957[/C][/ROW]
[ROW][C]0.58[/C][C]361815.534087618[/C][C]4219.95181857316[/C][/ROW]
[ROW][C]0.59[/C][C]362591.782274304[/C][C]4165.09056177431[/C][/ROW]
[ROW][C]0.6[/C][C]363360.441386091[/C][C]4101.11767827004[/C][/ROW]
[ROW][C]0.61[/C][C]364119.95890941[/C][C]4030.82632323597[/C][/ROW]
[ROW][C]0.62[/C][C]364869.185445735[/C][C]3954.52768887309[/C][/ROW]
[ROW][C]0.63[/C][C]365607.218791363[/C][C]3873.66655980228[/C][/ROW]
[ROW][C]0.64[/C][C]366333.312945815[/C][C]3787.980977063[/C][/ROW]
[ROW][C]0.65[/C][C]367046.86477018[/C][C]3696.52243794762[/C][/ROW]
[ROW][C]0.66[/C][C]367747.469835226[/C][C]3601.54402718834[/C][/ROW]
[ROW][C]0.67[/C][C]368435.025235483[/C][C]3504.4302303091[/C][/ROW]
[ROW][C]0.68[/C][C]369109.854325506[/C][C]3407.9907358754[/C][/ROW]
[ROW][C]0.69[/C][C]369772.835716031[/C][C]3315.26510119386[/C][/ROW]
[ROW][C]0.7[/C][C]370425.531670381[/C][C]3230.17301623797[/C][/ROW]
[ROW][C]0.71[/C][C]371070.322253042[/C][C]3155.8561217681[/C][/ROW]
[ROW][C]0.72[/C][C]371710.554697342[/C][C]3096.86742565089[/C][/ROW]
[ROW][C]0.73[/C][C]372350.709100347[/C][C]3057.40246402285[/C][/ROW]
[ROW][C]0.74[/C][C]372996.563007343[/C][C]3043.55483617073[/C][/ROW]
[ROW][C]0.75[/C][C]373655.314679887[/C][C]3061.56363605238[/C][/ROW]
[ROW][C]0.76[/C][C]374335.607229546[/C][C]3117.57098738466[/C][/ROW]
[ROW][C]0.77[/C][C]375047.394218301[/C][C]3217.0629041433[/C][/ROW]
[ROW][C]0.78[/C][C]375801.611887226[/C][C]3362.80535696379[/C][/ROW]
[ROW][C]0.79[/C][C]376609.680129984[/C][C]3552.62517184818[/C][/ROW]
[ROW][C]0.8[/C][C]377482.941095905[/C][C]3781.42242970688[/C][/ROW]
[ROW][C]0.81[/C][C]378432.242482074[/C][C]4040.58311796652[/C][/ROW]
[ROW][C]0.82[/C][C]379467.941870254[/C][C]4318.59475964965[/C][/ROW]
[ROW][C]0.83[/C][C]380600.588957641[/C][C]4608.17075063043[/C][/ROW]
[ROW][C]0.84[/C][C]381842.375091797[/C][C]4909.00250823701[/C][/ROW]
[ROW][C]0.85[/C][C]383209.110200906[/C][C]5231.44404652156[/C][/ROW]
[ROW][C]0.86[/C][C]384722.086071235[/C][C]5596.68038465971[/C][/ROW]
[ROW][C]0.87[/C][C]386408.94337162[/C][C]6027.98159464422[/C][/ROW]
[ROW][C]0.88[/C][C]388302.902219661[/C][C]6539.02339790749[/C][/ROW]
[ROW][C]0.89[/C][C]390440.656739797[/C][C]7119.48430872267[/C][/ROW]
[ROW][C]0.9[/C][C]392860.616405783[/C][C]7733.21820267436[/C][/ROW]
[ROW][C]0.91[/C][C]395603.940021345[/C][C]8338.38347094083[/C][/ROW]
[ROW][C]0.92[/C][C]398719.260658413[/C][C]8920.13095393732[/C][/ROW]
[ROW][C]0.93[/C][C]402267.132131793[/C][C]9509.55156990642[/C][/ROW]
[ROW][C]0.94[/C][C]406314.133223287[/C][C]10142.4929545464[/C][/ROW]
[ROW][C]0.95[/C][C]410905.629767931[/C][C]10737.4109004597[/C][/ROW]
[ROW][C]0.96[/C][C]416015.517342426[/C][C]10991.526734528[/C][/ROW]
[ROW][C]0.97[/C][C]421480.137969731[/C][C]10487.2397561706[/C][/ROW]
[ROW][C]0.98[/C][C]426906.298807805[/C][C]9112.27814564109[/C][/ROW]
[ROW][C]0.99[/C][C]431538.247505092[/C][C]7584.0820917421[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128116&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128116&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
0.01295084.7978609383275.18653083754
0.02297483.7872073195626.06138260431
0.03300744.9939819317357.84643847992
0.04304356.2572342367908.0079324074
0.05307866.5157662147513.85234027995
0.06311008.6091290376733.61452519693
0.07313712.4019213186059.88580672661
0.08316041.3358106255721.78131597283
0.09318109.3104974375689.09798026802
0.1320019.48534335806.28466305237
0.11321837.2982737225930.26451622561
0.12323589.9966309365976.49520791152
0.13325279.0700356235919.4857789903
0.14326894.7171426895774.1287969669
0.15328426.6437767245574.32785746423
0.16329869.6900446225357.48788218131
0.17331225.1414928915151.039356805
0.18332499.4153557064970.99295434084
0.19333701.7284820194821.3849031678
0.2334841.8598560364697.4549060674
0.21335928.5619279794592.15007567536
0.22336968.7400083244496.60762348637
0.23337967.2704124394403.93191148921
0.24338927.2421068884307.98208504422
0.25339850.4197305524205.78828389987
0.26340737.7755109374095.82907690035
0.27341589.9853329793979.6833171273
0.28342407.818626343860.91854726901
0.29343192.3781619893742.71401361361
0.3343945.1731002483629.13419617709
0.31344668.0401099173522.28247512366
0.32345362.9590313893423.15389597977
0.33346031.8330035783329.8127329908
0.34346676.3104296963241.14836560928
0.35347297.7142881053153.49420633414
0.36347897.1156146893065.25853307273
0.37348475.5498345252976.54463193211
0.38349034.3366717042890.23413583062
0.39349575.4357591342810.92715619219
0.4350101.7571261842746.84886584904
0.41350617.3507271092707.0965831011
0.42351127.4202209222699.15480915162
0.43351638.1382035022730.14874402758
0.44352156.2761110772802.70644193881
0.45352688.6949739262915.66906253352
0.46353241.7672497633063.27411994488
0.47353820.811434383237.23163841634
0.48354429.6188993573424.8289871236
0.49355070.1376783993615.24860330018
0.5355742.3537685133795.78577643086
0.51356444.3810843973955.91227907938
0.52357172.741067244088.73564586843
0.53357922.7865125834187.75339800005
0.54358689.2052713524252.67494058458
0.55359466.530955184283.36735969775
0.56360249.5911325344284.70760774032
0.57361033.838433254261.56785839957
0.58361815.5340876184219.95181857316
0.59362591.7822743044165.09056177431
0.6363360.4413860914101.11767827004
0.61364119.958909414030.82632323597
0.62364869.1854457353954.52768887309
0.63365607.2187913633873.66655980228
0.64366333.3129458153787.980977063
0.65367046.864770183696.52243794762
0.66367747.4698352263601.54402718834
0.67368435.0252354833504.4302303091
0.68369109.8543255063407.9907358754
0.69369772.8357160313315.26510119386
0.7370425.5316703813230.17301623797
0.71371070.3222530423155.8561217681
0.72371710.5546973423096.86742565089
0.73372350.7091003473057.40246402285
0.74372996.5630073433043.55483617073
0.75373655.3146798873061.56363605238
0.76374335.6072295463117.57098738466
0.77375047.3942183013217.0629041433
0.78375801.6118872263362.80535696379
0.79376609.6801299843552.62517184818
0.8377482.9410959053781.42242970688
0.81378432.2424820744040.58311796652
0.82379467.9418702544318.59475964965
0.83380600.5889576414608.17075063043
0.84381842.3750917974909.00250823701
0.85383209.1102009065231.44404652156
0.86384722.0860712355596.68038465971
0.87386408.943371626027.98159464422
0.88388302.9022196616539.02339790749
0.89390440.6567397977119.48430872267
0.9392860.6164057837733.21820267436
0.91395603.9400213458338.38347094083
0.92398719.2606584138920.13095393732
0.93402267.1321317939509.55156990642
0.94406314.13322328710142.4929545464
0.95410905.62976793110737.4109004597
0.96416015.51734242610991.526734528
0.97421480.13796973110487.2397561706
0.98426906.2988078059112.27814564109
0.99431538.2475050927584.0820917421


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')