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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 12:08:05 +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/t1281010044ftcz9l7pe96lvtw.htm/, Retrieved Sun, 05 May 2024 15:22:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78386, Retrieved Sun, 05 May 2024 15:22:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact145

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] [] [2010-08-05 12:08:05] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
390
389
388
386
406
405
390
380
381
381
382
384
394
393
388
381
399
396
378
368
369
373
374
379
385
385
395
387
400
390
365
350
365
374
367
375
382
380
378
363
375
366
341
326
338
345
336
342
347
360
360
334
347
336
305
289
303
308
294
299
306
313
321
287
296
283
248
235
241
244
237
241
251
259
264
229
237
228
197
182
182
176
172
175
185
195
206
175
185
174
140
130
133
130
131
136
149
155
161
131
145
134
93
87
86
80
79
91
108
105
112
78
87
74
32
25
26
25
22
36

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=78386&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=78386&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78386&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
0.0123.77390146072052.54100541260446
0.0227.03420836450516.03006305787866
0.0332.731493269276012.8505106995683
0.0441.527592658956419.0346691746253
0.0552.25421619347521.3165601649788
0.0662.854784750073819.4382864852078
0.0771.825258834572815.6564893291136
0.0878.824456406114812.5167245025740
0.0984.378488980307311.3271094407437
0.189.276562353083811.9447422470044
0.1194.142663359282713.5072656168942
0.1299.285805918199415.1750128583692
0.13104.72913169915916.3565541809084
0.14110.31286102598216.7594778739962
0.15115.81284718148216.4023457998888
0.16121.04247640672515.5631377492139
0.17125.91573903424414.6565807112916
0.18130.46119997596614.0780758720451
0.19134.79282112678614.0525734686040
0.2139.05688914577714.5629297165160
0.21143.37864516503615.3981397179600
0.22147.82723266153116.2804685673401
0.23152.40725454233016.9770848038410
0.24157.07458677230617.3705942122474
0.25161.76671570644917.4813881560966
0.26166.43511467804717.4500738650217
0.27171.06865977990317.4872761886619
0.28175.70145646866817.7980712825289
0.29180.40402364272018.5087439713624
0.3185.26193234688219.6150277198920
0.31190.34943078667220.9853894460391
0.32195.70656514430222.4050514789058
0.33201.32675110633223.6441888143018
0.34207.15823822420524.5225300923075
0.35213.11851831148324.9539784514625
0.36219.11678229022724.9679735983864
0.37225.07723054936724.6942967700252
0.38230.95609182888524.3223555660562
0.39236.74754086530324.0407160102764
0.4242.47748840301823.9743047820715
0.41248.1881296732424.1487446080227
0.42253.91886339920024.4869680666254
0.43259.68989636755224.8453006768505
0.44265.49344280574725.0675920880996
0.45271.29455228997125.0340885265688
0.46277.04033426683724.6947731613579
0.47282.67380141624724.0720272041456
0.48288.14749143169723.2528149461806
0.49293.43264514880922.3524554075323
0.5298.52164298466621.477219423051
0.51303.42386446351520.6961856371524
0.52308.15726886393720.0238943349892
0.53312.73912279498519.4261925213142
0.54317.17914354328618.8432995702663
0.55321.47706198300118.2180816236225
0.56325.62477536873617.519066482553
0.57329.61155437393716.7497936074976
0.58333.42979297413915.9444405770940
0.59337.07884538615915.1513713884043
0.6340.56548567665314.4119335875499
0.61343.90101197607713.743413771807
0.62347.09639130249213.1340118026043
0.63350.15756816232412.5438720021936
0.64353.08288528704111.9300483647329
0.65355.86360690173111.2585189859885
0.66358.48722882323210.5197632297968
0.67360.9421670652709.72918652430304
0.68363.2219808732268.92288297257751
0.69365.3276400543828.1405559899522
0.7367.2672653917507.41525767554082
0.71369.0537988443486.76247324071638
0.72370.7017469533756.1811586786509
0.73372.2242611692525.65735035656168
0.74373.6314508020905.17333228572716
0.75374.9302492009064.71561977397686
0.76376.1256543022254.27716087568324
0.77377.2228645273143.86022132768408
0.78378.2296819118853.47758602889115
0.79379.1584621286833.14687157270886
0.8380.0268612825942.88877532109525
0.81380.8567954162032.71873969291246
0.82381.6715197398472.63586128690165
0.83382.4914852814612.62038220115513
0.84383.3303154053372.63766511061063
0.85384.1924523302082.64965042923279
0.86385.0735828733572.62800789274246
0.87385.9641189402662.56017046627017
0.88386.8552400152922.45564574648992
0.89387.7464005210152.34343065967643
0.9388.6522456709582.27013731617058
0.91389.6053524781172.28514663256724
0.92390.6510331997312.40544490998819
0.93391.8352960748452.58939392568071
0.94393.1965455425712.76654441167746
0.95394.7758750132242.91464700115034
0.96396.6490163580783.08657634995987
0.97398.9444164951583.35279712657988
0.98401.7104540317463.55573855014565
0.99404.4682303076262.70121790605624

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 23.7739014607205 & 2.54100541260446 \tabularnewline
0.02 & 27.0342083645051 & 6.03006305787866 \tabularnewline
0.03 & 32.7314932692760 & 12.8505106995683 \tabularnewline
0.04 & 41.5275926589564 & 19.0346691746253 \tabularnewline
0.05 & 52.254216193475 & 21.3165601649788 \tabularnewline
0.06 & 62.8547847500738 & 19.4382864852078 \tabularnewline
0.07 & 71.8252588345728 & 15.6564893291136 \tabularnewline
0.08 & 78.8244564061148 & 12.5167245025740 \tabularnewline
0.09 & 84.3784889803073 & 11.3271094407437 \tabularnewline
0.1 & 89.2765623530838 & 11.9447422470044 \tabularnewline
0.11 & 94.1426633592827 & 13.5072656168942 \tabularnewline
0.12 & 99.2858059181994 & 15.1750128583692 \tabularnewline
0.13 & 104.729131699159 & 16.3565541809084 \tabularnewline
0.14 & 110.312861025982 & 16.7594778739962 \tabularnewline
0.15 & 115.812847181482 & 16.4023457998888 \tabularnewline
0.16 & 121.042476406725 & 15.5631377492139 \tabularnewline
0.17 & 125.915739034244 & 14.6565807112916 \tabularnewline
0.18 & 130.461199975966 & 14.0780758720451 \tabularnewline
0.19 & 134.792821126786 & 14.0525734686040 \tabularnewline
0.2 & 139.056889145777 & 14.5629297165160 \tabularnewline
0.21 & 143.378645165036 & 15.3981397179600 \tabularnewline
0.22 & 147.827232661531 & 16.2804685673401 \tabularnewline
0.23 & 152.407254542330 & 16.9770848038410 \tabularnewline
0.24 & 157.074586772306 & 17.3705942122474 \tabularnewline
0.25 & 161.766715706449 & 17.4813881560966 \tabularnewline
0.26 & 166.435114678047 & 17.4500738650217 \tabularnewline
0.27 & 171.068659779903 & 17.4872761886619 \tabularnewline
0.28 & 175.701456468668 & 17.7980712825289 \tabularnewline
0.29 & 180.404023642720 & 18.5087439713624 \tabularnewline
0.3 & 185.261932346882 & 19.6150277198920 \tabularnewline
0.31 & 190.349430786672 & 20.9853894460391 \tabularnewline
0.32 & 195.706565144302 & 22.4050514789058 \tabularnewline
0.33 & 201.326751106332 & 23.6441888143018 \tabularnewline
0.34 & 207.158238224205 & 24.5225300923075 \tabularnewline
0.35 & 213.118518311483 & 24.9539784514625 \tabularnewline
0.36 & 219.116782290227 & 24.9679735983864 \tabularnewline
0.37 & 225.077230549367 & 24.6942967700252 \tabularnewline
0.38 & 230.956091828885 & 24.3223555660562 \tabularnewline
0.39 & 236.747540865303 & 24.0407160102764 \tabularnewline
0.4 & 242.477488403018 & 23.9743047820715 \tabularnewline
0.41 & 248.18812967324 & 24.1487446080227 \tabularnewline
0.42 & 253.918863399200 & 24.4869680666254 \tabularnewline
0.43 & 259.689896367552 & 24.8453006768505 \tabularnewline
0.44 & 265.493442805747 & 25.0675920880996 \tabularnewline
0.45 & 271.294552289971 & 25.0340885265688 \tabularnewline
0.46 & 277.040334266837 & 24.6947731613579 \tabularnewline
0.47 & 282.673801416247 & 24.0720272041456 \tabularnewline
0.48 & 288.147491431697 & 23.2528149461806 \tabularnewline
0.49 & 293.432645148809 & 22.3524554075323 \tabularnewline
0.5 & 298.521642984666 & 21.477219423051 \tabularnewline
0.51 & 303.423864463515 & 20.6961856371524 \tabularnewline
0.52 & 308.157268863937 & 20.0238943349892 \tabularnewline
0.53 & 312.739122794985 & 19.4261925213142 \tabularnewline
0.54 & 317.179143543286 & 18.8432995702663 \tabularnewline
0.55 & 321.477061983001 & 18.2180816236225 \tabularnewline
0.56 & 325.624775368736 & 17.519066482553 \tabularnewline
0.57 & 329.611554373937 & 16.7497936074976 \tabularnewline
0.58 & 333.429792974139 & 15.9444405770940 \tabularnewline
0.59 & 337.078845386159 & 15.1513713884043 \tabularnewline
0.6 & 340.565485676653 & 14.4119335875499 \tabularnewline
0.61 & 343.901011976077 & 13.743413771807 \tabularnewline
0.62 & 347.096391302492 & 13.1340118026043 \tabularnewline
0.63 & 350.157568162324 & 12.5438720021936 \tabularnewline
0.64 & 353.082885287041 & 11.9300483647329 \tabularnewline
0.65 & 355.863606901731 & 11.2585189859885 \tabularnewline
0.66 & 358.487228823232 & 10.5197632297968 \tabularnewline
0.67 & 360.942167065270 & 9.72918652430304 \tabularnewline
0.68 & 363.221980873226 & 8.92288297257751 \tabularnewline
0.69 & 365.327640054382 & 8.1405559899522 \tabularnewline
0.7 & 367.267265391750 & 7.41525767554082 \tabularnewline
0.71 & 369.053798844348 & 6.76247324071638 \tabularnewline
0.72 & 370.701746953375 & 6.1811586786509 \tabularnewline
0.73 & 372.224261169252 & 5.65735035656168 \tabularnewline
0.74 & 373.631450802090 & 5.17333228572716 \tabularnewline
0.75 & 374.930249200906 & 4.71561977397686 \tabularnewline
0.76 & 376.125654302225 & 4.27716087568324 \tabularnewline
0.77 & 377.222864527314 & 3.86022132768408 \tabularnewline
0.78 & 378.229681911885 & 3.47758602889115 \tabularnewline
0.79 & 379.158462128683 & 3.14687157270886 \tabularnewline
0.8 & 380.026861282594 & 2.88877532109525 \tabularnewline
0.81 & 380.856795416203 & 2.71873969291246 \tabularnewline
0.82 & 381.671519739847 & 2.63586128690165 \tabularnewline
0.83 & 382.491485281461 & 2.62038220115513 \tabularnewline
0.84 & 383.330315405337 & 2.63766511061063 \tabularnewline
0.85 & 384.192452330208 & 2.64965042923279 \tabularnewline
0.86 & 385.073582873357 & 2.62800789274246 \tabularnewline
0.87 & 385.964118940266 & 2.56017046627017 \tabularnewline
0.88 & 386.855240015292 & 2.45564574648992 \tabularnewline
0.89 & 387.746400521015 & 2.34343065967643 \tabularnewline
0.9 & 388.652245670958 & 2.27013731617058 \tabularnewline
0.91 & 389.605352478117 & 2.28514663256724 \tabularnewline
0.92 & 390.651033199731 & 2.40544490998819 \tabularnewline
0.93 & 391.835296074845 & 2.58939392568071 \tabularnewline
0.94 & 393.196545542571 & 2.76654441167746 \tabularnewline
0.95 & 394.775875013224 & 2.91464700115034 \tabularnewline
0.96 & 396.649016358078 & 3.08657634995987 \tabularnewline
0.97 & 398.944416495158 & 3.35279712657988 \tabularnewline
0.98 & 401.710454031746 & 3.55573855014565 \tabularnewline
0.99 & 404.468230307626 & 2.70121790605624 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78386&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]23.7739014607205[/C][C]2.54100541260446[/C][/ROW]
[ROW][C]0.02[/C][C]27.0342083645051[/C][C]6.03006305787866[/C][/ROW]
[ROW][C]0.03[/C][C]32.7314932692760[/C][C]12.8505106995683[/C][/ROW]
[ROW][C]0.04[/C][C]41.5275926589564[/C][C]19.0346691746253[/C][/ROW]
[ROW][C]0.05[/C][C]52.254216193475[/C][C]21.3165601649788[/C][/ROW]
[ROW][C]0.06[/C][C]62.8547847500738[/C][C]19.4382864852078[/C][/ROW]
[ROW][C]0.07[/C][C]71.8252588345728[/C][C]15.6564893291136[/C][/ROW]
[ROW][C]0.08[/C][C]78.8244564061148[/C][C]12.5167245025740[/C][/ROW]
[ROW][C]0.09[/C][C]84.3784889803073[/C][C]11.3271094407437[/C][/ROW]
[ROW][C]0.1[/C][C]89.2765623530838[/C][C]11.9447422470044[/C][/ROW]
[ROW][C]0.11[/C][C]94.1426633592827[/C][C]13.5072656168942[/C][/ROW]
[ROW][C]0.12[/C][C]99.2858059181994[/C][C]15.1750128583692[/C][/ROW]
[ROW][C]0.13[/C][C]104.729131699159[/C][C]16.3565541809084[/C][/ROW]
[ROW][C]0.14[/C][C]110.312861025982[/C][C]16.7594778739962[/C][/ROW]
[ROW][C]0.15[/C][C]115.812847181482[/C][C]16.4023457998888[/C][/ROW]
[ROW][C]0.16[/C][C]121.042476406725[/C][C]15.5631377492139[/C][/ROW]
[ROW][C]0.17[/C][C]125.915739034244[/C][C]14.6565807112916[/C][/ROW]
[ROW][C]0.18[/C][C]130.461199975966[/C][C]14.0780758720451[/C][/ROW]
[ROW][C]0.19[/C][C]134.792821126786[/C][C]14.0525734686040[/C][/ROW]
[ROW][C]0.2[/C][C]139.056889145777[/C][C]14.5629297165160[/C][/ROW]
[ROW][C]0.21[/C][C]143.378645165036[/C][C]15.3981397179600[/C][/ROW]
[ROW][C]0.22[/C][C]147.827232661531[/C][C]16.2804685673401[/C][/ROW]
[ROW][C]0.23[/C][C]152.407254542330[/C][C]16.9770848038410[/C][/ROW]
[ROW][C]0.24[/C][C]157.074586772306[/C][C]17.3705942122474[/C][/ROW]
[ROW][C]0.25[/C][C]161.766715706449[/C][C]17.4813881560966[/C][/ROW]
[ROW][C]0.26[/C][C]166.435114678047[/C][C]17.4500738650217[/C][/ROW]
[ROW][C]0.27[/C][C]171.068659779903[/C][C]17.4872761886619[/C][/ROW]
[ROW][C]0.28[/C][C]175.701456468668[/C][C]17.7980712825289[/C][/ROW]
[ROW][C]0.29[/C][C]180.404023642720[/C][C]18.5087439713624[/C][/ROW]
[ROW][C]0.3[/C][C]185.261932346882[/C][C]19.6150277198920[/C][/ROW]
[ROW][C]0.31[/C][C]190.349430786672[/C][C]20.9853894460391[/C][/ROW]
[ROW][C]0.32[/C][C]195.706565144302[/C][C]22.4050514789058[/C][/ROW]
[ROW][C]0.33[/C][C]201.326751106332[/C][C]23.6441888143018[/C][/ROW]
[ROW][C]0.34[/C][C]207.158238224205[/C][C]24.5225300923075[/C][/ROW]
[ROW][C]0.35[/C][C]213.118518311483[/C][C]24.9539784514625[/C][/ROW]
[ROW][C]0.36[/C][C]219.116782290227[/C][C]24.9679735983864[/C][/ROW]
[ROW][C]0.37[/C][C]225.077230549367[/C][C]24.6942967700252[/C][/ROW]
[ROW][C]0.38[/C][C]230.956091828885[/C][C]24.3223555660562[/C][/ROW]
[ROW][C]0.39[/C][C]236.747540865303[/C][C]24.0407160102764[/C][/ROW]
[ROW][C]0.4[/C][C]242.477488403018[/C][C]23.9743047820715[/C][/ROW]
[ROW][C]0.41[/C][C]248.18812967324[/C][C]24.1487446080227[/C][/ROW]
[ROW][C]0.42[/C][C]253.918863399200[/C][C]24.4869680666254[/C][/ROW]
[ROW][C]0.43[/C][C]259.689896367552[/C][C]24.8453006768505[/C][/ROW]
[ROW][C]0.44[/C][C]265.493442805747[/C][C]25.0675920880996[/C][/ROW]
[ROW][C]0.45[/C][C]271.294552289971[/C][C]25.0340885265688[/C][/ROW]
[ROW][C]0.46[/C][C]277.040334266837[/C][C]24.6947731613579[/C][/ROW]
[ROW][C]0.47[/C][C]282.673801416247[/C][C]24.0720272041456[/C][/ROW]
[ROW][C]0.48[/C][C]288.147491431697[/C][C]23.2528149461806[/C][/ROW]
[ROW][C]0.49[/C][C]293.432645148809[/C][C]22.3524554075323[/C][/ROW]
[ROW][C]0.5[/C][C]298.521642984666[/C][C]21.477219423051[/C][/ROW]
[ROW][C]0.51[/C][C]303.423864463515[/C][C]20.6961856371524[/C][/ROW]
[ROW][C]0.52[/C][C]308.157268863937[/C][C]20.0238943349892[/C][/ROW]
[ROW][C]0.53[/C][C]312.739122794985[/C][C]19.4261925213142[/C][/ROW]
[ROW][C]0.54[/C][C]317.179143543286[/C][C]18.8432995702663[/C][/ROW]
[ROW][C]0.55[/C][C]321.477061983001[/C][C]18.2180816236225[/C][/ROW]
[ROW][C]0.56[/C][C]325.624775368736[/C][C]17.519066482553[/C][/ROW]
[ROW][C]0.57[/C][C]329.611554373937[/C][C]16.7497936074976[/C][/ROW]
[ROW][C]0.58[/C][C]333.429792974139[/C][C]15.9444405770940[/C][/ROW]
[ROW][C]0.59[/C][C]337.078845386159[/C][C]15.1513713884043[/C][/ROW]
[ROW][C]0.6[/C][C]340.565485676653[/C][C]14.4119335875499[/C][/ROW]
[ROW][C]0.61[/C][C]343.901011976077[/C][C]13.743413771807[/C][/ROW]
[ROW][C]0.62[/C][C]347.096391302492[/C][C]13.1340118026043[/C][/ROW]
[ROW][C]0.63[/C][C]350.157568162324[/C][C]12.5438720021936[/C][/ROW]
[ROW][C]0.64[/C][C]353.082885287041[/C][C]11.9300483647329[/C][/ROW]
[ROW][C]0.65[/C][C]355.863606901731[/C][C]11.2585189859885[/C][/ROW]
[ROW][C]0.66[/C][C]358.487228823232[/C][C]10.5197632297968[/C][/ROW]
[ROW][C]0.67[/C][C]360.942167065270[/C][C]9.72918652430304[/C][/ROW]
[ROW][C]0.68[/C][C]363.221980873226[/C][C]8.92288297257751[/C][/ROW]
[ROW][C]0.69[/C][C]365.327640054382[/C][C]8.1405559899522[/C][/ROW]
[ROW][C]0.7[/C][C]367.267265391750[/C][C]7.41525767554082[/C][/ROW]
[ROW][C]0.71[/C][C]369.053798844348[/C][C]6.76247324071638[/C][/ROW]
[ROW][C]0.72[/C][C]370.701746953375[/C][C]6.1811586786509[/C][/ROW]
[ROW][C]0.73[/C][C]372.224261169252[/C][C]5.65735035656168[/C][/ROW]
[ROW][C]0.74[/C][C]373.631450802090[/C][C]5.17333228572716[/C][/ROW]
[ROW][C]0.75[/C][C]374.930249200906[/C][C]4.71561977397686[/C][/ROW]
[ROW][C]0.76[/C][C]376.125654302225[/C][C]4.27716087568324[/C][/ROW]
[ROW][C]0.77[/C][C]377.222864527314[/C][C]3.86022132768408[/C][/ROW]
[ROW][C]0.78[/C][C]378.229681911885[/C][C]3.47758602889115[/C][/ROW]
[ROW][C]0.79[/C][C]379.158462128683[/C][C]3.14687157270886[/C][/ROW]
[ROW][C]0.8[/C][C]380.026861282594[/C][C]2.88877532109525[/C][/ROW]
[ROW][C]0.81[/C][C]380.856795416203[/C][C]2.71873969291246[/C][/ROW]
[ROW][C]0.82[/C][C]381.671519739847[/C][C]2.63586128690165[/C][/ROW]
[ROW][C]0.83[/C][C]382.491485281461[/C][C]2.62038220115513[/C][/ROW]
[ROW][C]0.84[/C][C]383.330315405337[/C][C]2.63766511061063[/C][/ROW]
[ROW][C]0.85[/C][C]384.192452330208[/C][C]2.64965042923279[/C][/ROW]
[ROW][C]0.86[/C][C]385.073582873357[/C][C]2.62800789274246[/C][/ROW]
[ROW][C]0.87[/C][C]385.964118940266[/C][C]2.56017046627017[/C][/ROW]
[ROW][C]0.88[/C][C]386.855240015292[/C][C]2.45564574648992[/C][/ROW]
[ROW][C]0.89[/C][C]387.746400521015[/C][C]2.34343065967643[/C][/ROW]
[ROW][C]0.9[/C][C]388.652245670958[/C][C]2.27013731617058[/C][/ROW]
[ROW][C]0.91[/C][C]389.605352478117[/C][C]2.28514663256724[/C][/ROW]
[ROW][C]0.92[/C][C]390.651033199731[/C][C]2.40544490998819[/C][/ROW]
[ROW][C]0.93[/C][C]391.835296074845[/C][C]2.58939392568071[/C][/ROW]
[ROW][C]0.94[/C][C]393.196545542571[/C][C]2.76654441167746[/C][/ROW]
[ROW][C]0.95[/C][C]394.775875013224[/C][C]2.91464700115034[/C][/ROW]
[ROW][C]0.96[/C][C]396.649016358078[/C][C]3.08657634995987[/C][/ROW]
[ROW][C]0.97[/C][C]398.944416495158[/C][C]3.35279712657988[/C][/ROW]
[ROW][C]0.98[/C][C]401.710454031746[/C][C]3.55573855014565[/C][/ROW]
[ROW][C]0.99[/C][C]404.468230307626[/C][C]2.70121790605624[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78386&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78386&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
0.0123.77390146072052.54100541260446
0.0227.03420836450516.03006305787866
0.0332.731493269276012.8505106995683
0.0441.527592658956419.0346691746253
0.0552.25421619347521.3165601649788
0.0662.854784750073819.4382864852078
0.0771.825258834572815.6564893291136
0.0878.824456406114812.5167245025740
0.0984.378488980307311.3271094407437
0.189.276562353083811.9447422470044
0.1194.142663359282713.5072656168942
0.1299.285805918199415.1750128583692
0.13104.72913169915916.3565541809084
0.14110.31286102598216.7594778739962
0.15115.81284718148216.4023457998888
0.16121.04247640672515.5631377492139
0.17125.91573903424414.6565807112916
0.18130.46119997596614.0780758720451
0.19134.79282112678614.0525734686040
0.2139.05688914577714.5629297165160
0.21143.37864516503615.3981397179600
0.22147.82723266153116.2804685673401
0.23152.40725454233016.9770848038410
0.24157.07458677230617.3705942122474
0.25161.76671570644917.4813881560966
0.26166.43511467804717.4500738650217
0.27171.06865977990317.4872761886619
0.28175.70145646866817.7980712825289
0.29180.40402364272018.5087439713624
0.3185.26193234688219.6150277198920
0.31190.34943078667220.9853894460391
0.32195.70656514430222.4050514789058
0.33201.32675110633223.6441888143018
0.34207.15823822420524.5225300923075
0.35213.11851831148324.9539784514625
0.36219.11678229022724.9679735983864
0.37225.07723054936724.6942967700252
0.38230.95609182888524.3223555660562
0.39236.74754086530324.0407160102764
0.4242.47748840301823.9743047820715
0.41248.1881296732424.1487446080227
0.42253.91886339920024.4869680666254
0.43259.68989636755224.8453006768505
0.44265.49344280574725.0675920880996
0.45271.29455228997125.0340885265688
0.46277.04033426683724.6947731613579
0.47282.67380141624724.0720272041456
0.48288.14749143169723.2528149461806
0.49293.43264514880922.3524554075323
0.5298.52164298466621.477219423051
0.51303.42386446351520.6961856371524
0.52308.15726886393720.0238943349892
0.53312.73912279498519.4261925213142
0.54317.17914354328618.8432995702663
0.55321.47706198300118.2180816236225
0.56325.62477536873617.519066482553
0.57329.61155437393716.7497936074976
0.58333.42979297413915.9444405770940
0.59337.07884538615915.1513713884043
0.6340.56548567665314.4119335875499
0.61343.90101197607713.743413771807
0.62347.09639130249213.1340118026043
0.63350.15756816232412.5438720021936
0.64353.08288528704111.9300483647329
0.65355.86360690173111.2585189859885
0.66358.48722882323210.5197632297968
0.67360.9421670652709.72918652430304
0.68363.2219808732268.92288297257751
0.69365.3276400543828.1405559899522
0.7367.2672653917507.41525767554082
0.71369.0537988443486.76247324071638
0.72370.7017469533756.1811586786509
0.73372.2242611692525.65735035656168
0.74373.6314508020905.17333228572716
0.75374.9302492009064.71561977397686
0.76376.1256543022254.27716087568324
0.77377.2228645273143.86022132768408
0.78378.2296819118853.47758602889115
0.79379.1584621286833.14687157270886
0.8380.0268612825942.88877532109525
0.81380.8567954162032.71873969291246
0.82381.6715197398472.63586128690165
0.83382.4914852814612.62038220115513
0.84383.3303154053372.63766511061063
0.85384.1924523302082.64965042923279
0.86385.0735828733572.62800789274246
0.87385.9641189402662.56017046627017
0.88386.8552400152922.45564574648992
0.89387.7464005210152.34343065967643
0.9388.6522456709582.27013731617058
0.91389.6053524781172.28514663256724
0.92390.6510331997312.40544490998819
0.93391.8352960748452.58939392568071
0.94393.1965455425712.76654441167746
0.95394.7758750132242.91464700115034
0.96396.6490163580783.08657634995987
0.97398.9444164951583.35279712657988
0.98401.7104540317463.55573855014565
0.99404.4682303076262.70121790605624


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')