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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, 12 Feb 2015 13:34:13 +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/2015/Feb/12/t1423748092xtfg91yyf9a52yp.htm/, Retrieved Tue, 21 May 2024 12:45:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277156, Retrieved Tue, 21 May 2024 12:45:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact51

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] [Harrell-Davis dec...] [2015-02-12 13:25:55] [a2b3c25f74abc01bd2ab9a904547673d]
- R     [Harrell-Davis Quantiles] [Harrell-Davis dec...] [2015-02-12 13:26:59] [a2b3c25f74abc01bd2ab9a904547673d]
- R         [Harrell-Davis Quantiles] [Harrell-Davis per...] [2015-02-12 13:34:13] [f898ec974b62c60a8bec4044c4c271e3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
507
233
346
159
225
146
253
169
246
129
318
378
580
336
468
229
189
181
210
270
229
319
377
275
365
269
377
194
337
212
278
197
305
343
588
382
266
305
345
249
253
167
149
286
260
375
339
322
396
421
254
279
347
264
324
243
324
420
295
731
576
391
229
347
262
317
249
211
303
337
383
588
456
375
507
405
363
394
166
217
299
549
395
730

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277156&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277156&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277156&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01134.85426928127213.2950306442218
0.02142.76069869548710.2710501777265
0.03149.8737589201399.61702170472649
0.04155.8319313153159.96250001701716
0.05161.09167928910910.443450635349
0.06166.03000529196811.2012925870472
0.07170.87646076644112.3319134287732
0.08175.76807841095313.5872806091838
0.09180.75180207622614.6317316061867
0.1185.78894884708415.264809095537
0.11190.78863817186115.460731640535
0.12195.65152364290315.307019473804
0.13200.30126880136514.9306785914872
0.14204.69650397769714.4493251439927
0.15208.82810809321713.9510492860444
0.16212.7099310757713.493022512869
0.17216.36890366045713.1049900011964
0.18219.83718263397612.7984364454526
0.19223.14671242074412.5703620146518
0.2226.32565513477112.4077736916906
0.21229.3961052996112.2879400747219
0.22232.37284318390312.1805279739648
0.23235.26320198225712.0525230597366
0.24238.06820135420711.8777429569164
0.25240.7848911830111.6454667034147
0.26243.40948786756611.3648895568565
0.27245.94059153493811.0623987492212
0.28248.38172244283810.7759253048003
0.29250.74264458848810.5446469384781
0.3253.03934451731710.4028968262646
0.31255.29292300302910.3726307085602
0.32257.52788459472810.4647414929663
0.33259.77031794924910.6810194233713
0.34262.04629400946111.017573002983
0.35264.3805770013511.4678262862302
0.36266.79555602470812.0187206765355
0.37269.31023139384912.6551921379223
0.38271.93913820275313.3523883767384
0.39274.69121751934814.0787680200189
0.4277.56878630725114.7959117988444
0.41280.56684822308815.4618218905153
0.42283.67299211626516.03592260023
0.43286.86804081350316.4833872195491
0.44290.12746717376616.7795743903846
0.45293.42343234888916.9133117959879
0.46296.72716887077916.8877204212792
0.47300.01136225995816.7178868180483
0.48303.25219269780916.4291968963714
0.49306.43077572328516.0529520652051
0.5309.53386574872515.6206792885338
0.51312.5538295760815.1638847353675
0.52315.48803074387414.7054780176056
0.53318.33786592284414.2638870849835
0.54321.10774422205313.8505463566789
0.55323.80428799548813.4706836426077
0.56326.43595608225913.1302936563877
0.57329.01315481401912.8351471544585
0.58331.54873051689312.5983171651685
0.59334.05856703485712.4363252998963
0.6336.561891417412.371831796153
0.61339.08086877057312.4256869351434
0.62341.63917609512412.6081841677713
0.63344.25948578897712.9128131096194
0.64346.96012154643713.3090616947745
0.65349.75149120490113.7442520074833
0.66352.63314675451614.1485217724389
0.67355.59237074703714.4499583459636
0.68358.60498252938714.5861009036816
0.69361.6386129869614.5177040551223
0.7364.65811523183814.2408494322863
0.71367.63223192092813.7885604740956
0.72370.54031740959913.2289505538495
0.73373.37795344811212.6547026122579
0.74376.16072259393912.1713375753496
0.75378.92608664943811.8824422673723
0.76381.73400405590711.8798015250804
0.77384.66730940467512.2440033992995
0.78387.83273873921613.0506604476722
0.79391.36276513060814.3788496395103
0.8395.41729901576316.312753026835
0.81400.18321319786418.924685693578
0.82405.86908678125322.2480239003636
0.83412.69296486761526.2458105861869
0.84420.86243903698130.7843336625741
0.85430.54858151554835.6239798033218
0.86441.85722590271240.4308412258803
0.87454.80153153061844.8110923734207
0.88469.27824971031548.3536610594052
0.89485.04866978680450.6607018084094
0.9501.72967107899351.3567856265905
0.91518.81889510767450.120610094457
0.92535.81420525761846.842249275915
0.93552.52153786985242.0442696987384
0.94569.60065432005837.7208767682664
0.95589.1232430892138.4534009961603
0.96614.32300311137448.9306303571852
0.97647.29521290051964.4177170154053
0.98684.75338932904267.1160159277726
0.99716.17303019923139.9999320569399

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 134.854269281272 & 13.2950306442218 \tabularnewline
0.02 & 142.760698695487 & 10.2710501777265 \tabularnewline
0.03 & 149.873758920139 & 9.61702170472649 \tabularnewline
0.04 & 155.831931315315 & 9.96250001701716 \tabularnewline
0.05 & 161.091679289109 & 10.443450635349 \tabularnewline
0.06 & 166.030005291968 & 11.2012925870472 \tabularnewline
0.07 & 170.876460766441 & 12.3319134287732 \tabularnewline
0.08 & 175.768078410953 & 13.5872806091838 \tabularnewline
0.09 & 180.751802076226 & 14.6317316061867 \tabularnewline
0.1 & 185.788948847084 & 15.264809095537 \tabularnewline
0.11 & 190.788638171861 & 15.460731640535 \tabularnewline
0.12 & 195.651523642903 & 15.307019473804 \tabularnewline
0.13 & 200.301268801365 & 14.9306785914872 \tabularnewline
0.14 & 204.696503977697 & 14.4493251439927 \tabularnewline
0.15 & 208.828108093217 & 13.9510492860444 \tabularnewline
0.16 & 212.70993107577 & 13.493022512869 \tabularnewline
0.17 & 216.368903660457 & 13.1049900011964 \tabularnewline
0.18 & 219.837182633976 & 12.7984364454526 \tabularnewline
0.19 & 223.146712420744 & 12.5703620146518 \tabularnewline
0.2 & 226.325655134771 & 12.4077736916906 \tabularnewline
0.21 & 229.39610529961 & 12.2879400747219 \tabularnewline
0.22 & 232.372843183903 & 12.1805279739648 \tabularnewline
0.23 & 235.263201982257 & 12.0525230597366 \tabularnewline
0.24 & 238.068201354207 & 11.8777429569164 \tabularnewline
0.25 & 240.78489118301 & 11.6454667034147 \tabularnewline
0.26 & 243.409487867566 & 11.3648895568565 \tabularnewline
0.27 & 245.940591534938 & 11.0623987492212 \tabularnewline
0.28 & 248.381722442838 & 10.7759253048003 \tabularnewline
0.29 & 250.742644588488 & 10.5446469384781 \tabularnewline
0.3 & 253.039344517317 & 10.4028968262646 \tabularnewline
0.31 & 255.292923003029 & 10.3726307085602 \tabularnewline
0.32 & 257.527884594728 & 10.4647414929663 \tabularnewline
0.33 & 259.770317949249 & 10.6810194233713 \tabularnewline
0.34 & 262.046294009461 & 11.017573002983 \tabularnewline
0.35 & 264.38057700135 & 11.4678262862302 \tabularnewline
0.36 & 266.795556024708 & 12.0187206765355 \tabularnewline
0.37 & 269.310231393849 & 12.6551921379223 \tabularnewline
0.38 & 271.939138202753 & 13.3523883767384 \tabularnewline
0.39 & 274.691217519348 & 14.0787680200189 \tabularnewline
0.4 & 277.568786307251 & 14.7959117988444 \tabularnewline
0.41 & 280.566848223088 & 15.4618218905153 \tabularnewline
0.42 & 283.672992116265 & 16.03592260023 \tabularnewline
0.43 & 286.868040813503 & 16.4833872195491 \tabularnewline
0.44 & 290.127467173766 & 16.7795743903846 \tabularnewline
0.45 & 293.423432348889 & 16.9133117959879 \tabularnewline
0.46 & 296.727168870779 & 16.8877204212792 \tabularnewline
0.47 & 300.011362259958 & 16.7178868180483 \tabularnewline
0.48 & 303.252192697809 & 16.4291968963714 \tabularnewline
0.49 & 306.430775723285 & 16.0529520652051 \tabularnewline
0.5 & 309.533865748725 & 15.6206792885338 \tabularnewline
0.51 & 312.55382957608 & 15.1638847353675 \tabularnewline
0.52 & 315.488030743874 & 14.7054780176056 \tabularnewline
0.53 & 318.337865922844 & 14.2638870849835 \tabularnewline
0.54 & 321.107744222053 & 13.8505463566789 \tabularnewline
0.55 & 323.804287995488 & 13.4706836426077 \tabularnewline
0.56 & 326.435956082259 & 13.1302936563877 \tabularnewline
0.57 & 329.013154814019 & 12.8351471544585 \tabularnewline
0.58 & 331.548730516893 & 12.5983171651685 \tabularnewline
0.59 & 334.058567034857 & 12.4363252998963 \tabularnewline
0.6 & 336.5618914174 & 12.371831796153 \tabularnewline
0.61 & 339.080868770573 & 12.4256869351434 \tabularnewline
0.62 & 341.639176095124 & 12.6081841677713 \tabularnewline
0.63 & 344.259485788977 & 12.9128131096194 \tabularnewline
0.64 & 346.960121546437 & 13.3090616947745 \tabularnewline
0.65 & 349.751491204901 & 13.7442520074833 \tabularnewline
0.66 & 352.633146754516 & 14.1485217724389 \tabularnewline
0.67 & 355.592370747037 & 14.4499583459636 \tabularnewline
0.68 & 358.604982529387 & 14.5861009036816 \tabularnewline
0.69 & 361.63861298696 & 14.5177040551223 \tabularnewline
0.7 & 364.658115231838 & 14.2408494322863 \tabularnewline
0.71 & 367.632231920928 & 13.7885604740956 \tabularnewline
0.72 & 370.540317409599 & 13.2289505538495 \tabularnewline
0.73 & 373.377953448112 & 12.6547026122579 \tabularnewline
0.74 & 376.160722593939 & 12.1713375753496 \tabularnewline
0.75 & 378.926086649438 & 11.8824422673723 \tabularnewline
0.76 & 381.734004055907 & 11.8798015250804 \tabularnewline
0.77 & 384.667309404675 & 12.2440033992995 \tabularnewline
0.78 & 387.832738739216 & 13.0506604476722 \tabularnewline
0.79 & 391.362765130608 & 14.3788496395103 \tabularnewline
0.8 & 395.417299015763 & 16.312753026835 \tabularnewline
0.81 & 400.183213197864 & 18.924685693578 \tabularnewline
0.82 & 405.869086781253 & 22.2480239003636 \tabularnewline
0.83 & 412.692964867615 & 26.2458105861869 \tabularnewline
0.84 & 420.862439036981 & 30.7843336625741 \tabularnewline
0.85 & 430.548581515548 & 35.6239798033218 \tabularnewline
0.86 & 441.857225902712 & 40.4308412258803 \tabularnewline
0.87 & 454.801531530618 & 44.8110923734207 \tabularnewline
0.88 & 469.278249710315 & 48.3536610594052 \tabularnewline
0.89 & 485.048669786804 & 50.6607018084094 \tabularnewline
0.9 & 501.729671078993 & 51.3567856265905 \tabularnewline
0.91 & 518.818895107674 & 50.120610094457 \tabularnewline
0.92 & 535.814205257618 & 46.842249275915 \tabularnewline
0.93 & 552.521537869852 & 42.0442696987384 \tabularnewline
0.94 & 569.600654320058 & 37.7208767682664 \tabularnewline
0.95 & 589.12324308921 & 38.4534009961603 \tabularnewline
0.96 & 614.323003111374 & 48.9306303571852 \tabularnewline
0.97 & 647.295212900519 & 64.4177170154053 \tabularnewline
0.98 & 684.753389329042 & 67.1160159277726 \tabularnewline
0.99 & 716.173030199231 & 39.9999320569399 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277156&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]134.854269281272[/C][C]13.2950306442218[/C][/ROW]
[ROW][C]0.02[/C][C]142.760698695487[/C][C]10.2710501777265[/C][/ROW]
[ROW][C]0.03[/C][C]149.873758920139[/C][C]9.61702170472649[/C][/ROW]
[ROW][C]0.04[/C][C]155.831931315315[/C][C]9.96250001701716[/C][/ROW]
[ROW][C]0.05[/C][C]161.091679289109[/C][C]10.443450635349[/C][/ROW]
[ROW][C]0.06[/C][C]166.030005291968[/C][C]11.2012925870472[/C][/ROW]
[ROW][C]0.07[/C][C]170.876460766441[/C][C]12.3319134287732[/C][/ROW]
[ROW][C]0.08[/C][C]175.768078410953[/C][C]13.5872806091838[/C][/ROW]
[ROW][C]0.09[/C][C]180.751802076226[/C][C]14.6317316061867[/C][/ROW]
[ROW][C]0.1[/C][C]185.788948847084[/C][C]15.264809095537[/C][/ROW]
[ROW][C]0.11[/C][C]190.788638171861[/C][C]15.460731640535[/C][/ROW]
[ROW][C]0.12[/C][C]195.651523642903[/C][C]15.307019473804[/C][/ROW]
[ROW][C]0.13[/C][C]200.301268801365[/C][C]14.9306785914872[/C][/ROW]
[ROW][C]0.14[/C][C]204.696503977697[/C][C]14.4493251439927[/C][/ROW]
[ROW][C]0.15[/C][C]208.828108093217[/C][C]13.9510492860444[/C][/ROW]
[ROW][C]0.16[/C][C]212.70993107577[/C][C]13.493022512869[/C][/ROW]
[ROW][C]0.17[/C][C]216.368903660457[/C][C]13.1049900011964[/C][/ROW]
[ROW][C]0.18[/C][C]219.837182633976[/C][C]12.7984364454526[/C][/ROW]
[ROW][C]0.19[/C][C]223.146712420744[/C][C]12.5703620146518[/C][/ROW]
[ROW][C]0.2[/C][C]226.325655134771[/C][C]12.4077736916906[/C][/ROW]
[ROW][C]0.21[/C][C]229.39610529961[/C][C]12.2879400747219[/C][/ROW]
[ROW][C]0.22[/C][C]232.372843183903[/C][C]12.1805279739648[/C][/ROW]
[ROW][C]0.23[/C][C]235.263201982257[/C][C]12.0525230597366[/C][/ROW]
[ROW][C]0.24[/C][C]238.068201354207[/C][C]11.8777429569164[/C][/ROW]
[ROW][C]0.25[/C][C]240.78489118301[/C][C]11.6454667034147[/C][/ROW]
[ROW][C]0.26[/C][C]243.409487867566[/C][C]11.3648895568565[/C][/ROW]
[ROW][C]0.27[/C][C]245.940591534938[/C][C]11.0623987492212[/C][/ROW]
[ROW][C]0.28[/C][C]248.381722442838[/C][C]10.7759253048003[/C][/ROW]
[ROW][C]0.29[/C][C]250.742644588488[/C][C]10.5446469384781[/C][/ROW]
[ROW][C]0.3[/C][C]253.039344517317[/C][C]10.4028968262646[/C][/ROW]
[ROW][C]0.31[/C][C]255.292923003029[/C][C]10.3726307085602[/C][/ROW]
[ROW][C]0.32[/C][C]257.527884594728[/C][C]10.4647414929663[/C][/ROW]
[ROW][C]0.33[/C][C]259.770317949249[/C][C]10.6810194233713[/C][/ROW]
[ROW][C]0.34[/C][C]262.046294009461[/C][C]11.017573002983[/C][/ROW]
[ROW][C]0.35[/C][C]264.38057700135[/C][C]11.4678262862302[/C][/ROW]
[ROW][C]0.36[/C][C]266.795556024708[/C][C]12.0187206765355[/C][/ROW]
[ROW][C]0.37[/C][C]269.310231393849[/C][C]12.6551921379223[/C][/ROW]
[ROW][C]0.38[/C][C]271.939138202753[/C][C]13.3523883767384[/C][/ROW]
[ROW][C]0.39[/C][C]274.691217519348[/C][C]14.0787680200189[/C][/ROW]
[ROW][C]0.4[/C][C]277.568786307251[/C][C]14.7959117988444[/C][/ROW]
[ROW][C]0.41[/C][C]280.566848223088[/C][C]15.4618218905153[/C][/ROW]
[ROW][C]0.42[/C][C]283.672992116265[/C][C]16.03592260023[/C][/ROW]
[ROW][C]0.43[/C][C]286.868040813503[/C][C]16.4833872195491[/C][/ROW]
[ROW][C]0.44[/C][C]290.127467173766[/C][C]16.7795743903846[/C][/ROW]
[ROW][C]0.45[/C][C]293.423432348889[/C][C]16.9133117959879[/C][/ROW]
[ROW][C]0.46[/C][C]296.727168870779[/C][C]16.8877204212792[/C][/ROW]
[ROW][C]0.47[/C][C]300.011362259958[/C][C]16.7178868180483[/C][/ROW]
[ROW][C]0.48[/C][C]303.252192697809[/C][C]16.4291968963714[/C][/ROW]
[ROW][C]0.49[/C][C]306.430775723285[/C][C]16.0529520652051[/C][/ROW]
[ROW][C]0.5[/C][C]309.533865748725[/C][C]15.6206792885338[/C][/ROW]
[ROW][C]0.51[/C][C]312.55382957608[/C][C]15.1638847353675[/C][/ROW]
[ROW][C]0.52[/C][C]315.488030743874[/C][C]14.7054780176056[/C][/ROW]
[ROW][C]0.53[/C][C]318.337865922844[/C][C]14.2638870849835[/C][/ROW]
[ROW][C]0.54[/C][C]321.107744222053[/C][C]13.8505463566789[/C][/ROW]
[ROW][C]0.55[/C][C]323.804287995488[/C][C]13.4706836426077[/C][/ROW]
[ROW][C]0.56[/C][C]326.435956082259[/C][C]13.1302936563877[/C][/ROW]
[ROW][C]0.57[/C][C]329.013154814019[/C][C]12.8351471544585[/C][/ROW]
[ROW][C]0.58[/C][C]331.548730516893[/C][C]12.5983171651685[/C][/ROW]
[ROW][C]0.59[/C][C]334.058567034857[/C][C]12.4363252998963[/C][/ROW]
[ROW][C]0.6[/C][C]336.5618914174[/C][C]12.371831796153[/C][/ROW]
[ROW][C]0.61[/C][C]339.080868770573[/C][C]12.4256869351434[/C][/ROW]
[ROW][C]0.62[/C][C]341.639176095124[/C][C]12.6081841677713[/C][/ROW]
[ROW][C]0.63[/C][C]344.259485788977[/C][C]12.9128131096194[/C][/ROW]
[ROW][C]0.64[/C][C]346.960121546437[/C][C]13.3090616947745[/C][/ROW]
[ROW][C]0.65[/C][C]349.751491204901[/C][C]13.7442520074833[/C][/ROW]
[ROW][C]0.66[/C][C]352.633146754516[/C][C]14.1485217724389[/C][/ROW]
[ROW][C]0.67[/C][C]355.592370747037[/C][C]14.4499583459636[/C][/ROW]
[ROW][C]0.68[/C][C]358.604982529387[/C][C]14.5861009036816[/C][/ROW]
[ROW][C]0.69[/C][C]361.63861298696[/C][C]14.5177040551223[/C][/ROW]
[ROW][C]0.7[/C][C]364.658115231838[/C][C]14.2408494322863[/C][/ROW]
[ROW][C]0.71[/C][C]367.632231920928[/C][C]13.7885604740956[/C][/ROW]
[ROW][C]0.72[/C][C]370.540317409599[/C][C]13.2289505538495[/C][/ROW]
[ROW][C]0.73[/C][C]373.377953448112[/C][C]12.6547026122579[/C][/ROW]
[ROW][C]0.74[/C][C]376.160722593939[/C][C]12.1713375753496[/C][/ROW]
[ROW][C]0.75[/C][C]378.926086649438[/C][C]11.8824422673723[/C][/ROW]
[ROW][C]0.76[/C][C]381.734004055907[/C][C]11.8798015250804[/C][/ROW]
[ROW][C]0.77[/C][C]384.667309404675[/C][C]12.2440033992995[/C][/ROW]
[ROW][C]0.78[/C][C]387.832738739216[/C][C]13.0506604476722[/C][/ROW]
[ROW][C]0.79[/C][C]391.362765130608[/C][C]14.3788496395103[/C][/ROW]
[ROW][C]0.8[/C][C]395.417299015763[/C][C]16.312753026835[/C][/ROW]
[ROW][C]0.81[/C][C]400.183213197864[/C][C]18.924685693578[/C][/ROW]
[ROW][C]0.82[/C][C]405.869086781253[/C][C]22.2480239003636[/C][/ROW]
[ROW][C]0.83[/C][C]412.692964867615[/C][C]26.2458105861869[/C][/ROW]
[ROW][C]0.84[/C][C]420.862439036981[/C][C]30.7843336625741[/C][/ROW]
[ROW][C]0.85[/C][C]430.548581515548[/C][C]35.6239798033218[/C][/ROW]
[ROW][C]0.86[/C][C]441.857225902712[/C][C]40.4308412258803[/C][/ROW]
[ROW][C]0.87[/C][C]454.801531530618[/C][C]44.8110923734207[/C][/ROW]
[ROW][C]0.88[/C][C]469.278249710315[/C][C]48.3536610594052[/C][/ROW]
[ROW][C]0.89[/C][C]485.048669786804[/C][C]50.6607018084094[/C][/ROW]
[ROW][C]0.9[/C][C]501.729671078993[/C][C]51.3567856265905[/C][/ROW]
[ROW][C]0.91[/C][C]518.818895107674[/C][C]50.120610094457[/C][/ROW]
[ROW][C]0.92[/C][C]535.814205257618[/C][C]46.842249275915[/C][/ROW]
[ROW][C]0.93[/C][C]552.521537869852[/C][C]42.0442696987384[/C][/ROW]
[ROW][C]0.94[/C][C]569.600654320058[/C][C]37.7208767682664[/C][/ROW]
[ROW][C]0.95[/C][C]589.12324308921[/C][C]38.4534009961603[/C][/ROW]
[ROW][C]0.96[/C][C]614.323003111374[/C][C]48.9306303571852[/C][/ROW]
[ROW][C]0.97[/C][C]647.295212900519[/C][C]64.4177170154053[/C][/ROW]
[ROW][C]0.98[/C][C]684.753389329042[/C][C]67.1160159277726[/C][/ROW]
[ROW][C]0.99[/C][C]716.173030199231[/C][C]39.9999320569399[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277156&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277156&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
0.01134.85426928127213.2950306442218
0.02142.76069869548710.2710501777265
0.03149.8737589201399.61702170472649
0.04155.8319313153159.96250001701716
0.05161.09167928910910.443450635349
0.06166.03000529196811.2012925870472
0.07170.87646076644112.3319134287732
0.08175.76807841095313.5872806091838
0.09180.75180207622614.6317316061867
0.1185.78894884708415.264809095537
0.11190.78863817186115.460731640535
0.12195.65152364290315.307019473804
0.13200.30126880136514.9306785914872
0.14204.69650397769714.4493251439927
0.15208.82810809321713.9510492860444
0.16212.7099310757713.493022512869
0.17216.36890366045713.1049900011964
0.18219.83718263397612.7984364454526
0.19223.14671242074412.5703620146518
0.2226.32565513477112.4077736916906
0.21229.3961052996112.2879400747219
0.22232.37284318390312.1805279739648
0.23235.26320198225712.0525230597366
0.24238.06820135420711.8777429569164
0.25240.7848911830111.6454667034147
0.26243.40948786756611.3648895568565
0.27245.94059153493811.0623987492212
0.28248.38172244283810.7759253048003
0.29250.74264458848810.5446469384781
0.3253.03934451731710.4028968262646
0.31255.29292300302910.3726307085602
0.32257.52788459472810.4647414929663
0.33259.77031794924910.6810194233713
0.34262.04629400946111.017573002983
0.35264.3805770013511.4678262862302
0.36266.79555602470812.0187206765355
0.37269.31023139384912.6551921379223
0.38271.93913820275313.3523883767384
0.39274.69121751934814.0787680200189
0.4277.56878630725114.7959117988444
0.41280.56684822308815.4618218905153
0.42283.67299211626516.03592260023
0.43286.86804081350316.4833872195491
0.44290.12746717376616.7795743903846
0.45293.42343234888916.9133117959879
0.46296.72716887077916.8877204212792
0.47300.01136225995816.7178868180483
0.48303.25219269780916.4291968963714
0.49306.43077572328516.0529520652051
0.5309.53386574872515.6206792885338
0.51312.5538295760815.1638847353675
0.52315.48803074387414.7054780176056
0.53318.33786592284414.2638870849835
0.54321.10774422205313.8505463566789
0.55323.80428799548813.4706836426077
0.56326.43595608225913.1302936563877
0.57329.01315481401912.8351471544585
0.58331.54873051689312.5983171651685
0.59334.05856703485712.4363252998963
0.6336.561891417412.371831796153
0.61339.08086877057312.4256869351434
0.62341.63917609512412.6081841677713
0.63344.25948578897712.9128131096194
0.64346.96012154643713.3090616947745
0.65349.75149120490113.7442520074833
0.66352.63314675451614.1485217724389
0.67355.59237074703714.4499583459636
0.68358.60498252938714.5861009036816
0.69361.6386129869614.5177040551223
0.7364.65811523183814.2408494322863
0.71367.63223192092813.7885604740956
0.72370.54031740959913.2289505538495
0.73373.37795344811212.6547026122579
0.74376.16072259393912.1713375753496
0.75378.92608664943811.8824422673723
0.76381.73400405590711.8798015250804
0.77384.66730940467512.2440033992995
0.78387.83273873921613.0506604476722
0.79391.36276513060814.3788496395103
0.8395.41729901576316.312753026835
0.81400.18321319786418.924685693578
0.82405.86908678125322.2480239003636
0.83412.69296486761526.2458105861869
0.84420.86243903698130.7843336625741
0.85430.54858151554835.6239798033218
0.86441.85722590271240.4308412258803
0.87454.80153153061844.8110923734207
0.88469.27824971031548.3536610594052
0.89485.04866978680450.6607018084094
0.9501.72967107899351.3567856265905
0.91518.81889510767450.120610094457
0.92535.81420525761846.842249275915
0.93552.52153786985242.0442696987384
0.94569.60065432005837.7208767682664
0.95589.1232430892138.4534009961603
0.96614.32300311137448.9306303571852
0.97647.29521290051964.4177170154053
0.98684.75338932904267.1160159277726
0.99716.17303019923139.9999320569399


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')