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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, 01 Oct 2012 05:19:36 -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/2012/Oct/01/t1349083219ifco1oszsbqsgtk.htm/, Retrieved Thu, 02 May 2024 17:58:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=170694, Retrieved Thu, 02 May 2024 17:58:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact76

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] [] [2012-10-01 09:19:36] [d62dd1741edf14cb196353a5fc438d1f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
369.82
373.1
374.55
375.01
374.81
375.31
375.31
375.39
375.59
376.26
377.18
377.26
377.26
381.87
387.09
387.14
388.78
389.16
389.16
389.42
389.49
388.97
388.97
389.09
389.09
391.76
390.96
391.76
392.8
393.06
393.06
393.26
393.87
394.47
394.57
394.57
394.57
399.57
406.13
407.03
409.46
409.9
409.9
410.14
410.54
410.69
410.79
410.97
410.97
413.8
423.31
423.85
426.6
426.26
426.26
426.32
427.14
427.55
428.29
428.8
428.8
434.87
435.66
440.75
440.99
441.04
441.04
441.88
441.92
442.48
442.81
442.81

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170694&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170694&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170694&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01370.7596816389082.71044650341931
0.02372.0383152925512.01074715945755
0.03373.1574897509591.40169015020842
0.04373.9520196283030.961861260551408
0.05374.4701397257550.683011179759902
0.06374.8125028766890.542505756769397
0.07375.0634452767640.520452889798019
0.08375.2816300483270.601528035646795
0.09375.5080556338270.77774784245515
0.1375.7740549345581.04730958411921
0.11376.1057325231561.40956116598108
0.12376.5253110982471.85890071628223
0.13377.0504077984292.37899319860059
0.14377.6921424998552.93998870060608
0.15378.4529062300573.497731962954
0.16379.3246180537954.00077687048603
0.17380.2882238616144.39539931591997
0.18381.3149192689834.63912318318315
0.19382.3691223191064.70704910451597
0.2383.4127197712134.59586378254749
0.21384.409746956834.32531512228664
0.22385.3305621766013.93307315192209
0.23386.1547559412843.46671841552484
0.24386.8724017002132.97619499584415
0.25387.4836662930042.50575660069567
0.26387.9971272802242.09161848499669
0.27388.4273194255621.75847508675615
0.28388.7920489039531.51891267046688
0.29389.1099143397741.37464860629424
0.3389.3983200730661.31548145974528
0.31389.6721132977741.32294873341131
0.32389.9428559078071.3748670177429
0.33390.218664461511.45149824364558
0.34390.5045121627361.53629318128606
0.35390.8028727670561.61995226931905
0.36391.1145857123161.69739875935742
0.37391.4398263158121.7697144637662
0.38391.77907080531.84271890030201
0.39392.1339527546751.92826362201574
0.4392.5079164090992.03969021091286
0.41392.9065853118252.19245668264187
0.42393.3377836639922.40208128255784
0.43393.8111749161672.67813754941154
0.44394.3375184989193.02375765553229
0.45394.9275910072553.4350581448168
0.46395.590869438173.89760984946668
0.47396.334124614754.38990549194064
0.48397.1601129352224.88368411718517
0.49398.0665729181245.34573715987472
0.5399.0457201658285.74308657174659
0.51400.0843858336236.04510848802071
0.52401.1648625088276.22806313448856
0.53402.2664187470086.27847805305523
0.54403.3673368119626.19650226956453
0.55404.4472371353365.99458607242244
0.56405.4893947762475.69940466496016
0.57406.4827381256375.34673086964011
0.58407.423249951044.98212399743215
0.59408.3145593006974.65313914067627
0.6409.1676083811844.40649049570866
0.61409.9993885000664.28190534310367
0.62410.8308521369924.30148744466353
0.63411.6842149091214.46484343302797
0.64412.5799531130544.74931763925614
0.65413.5338696241075.11184472591411
0.66414.5546304683925.50046898544805
0.67415.6421524535045.85921781589041
0.68416.7871385541936.13576592226888
0.69417.9719121685626.288337678462
0.7419.1725093349026.28909513096936
0.71420.3617814803796.12967996312014
0.72421.5130830549135.82205686831937
0.73422.6040104144545.39675927033852
0.74423.6196474512334.8988643763384
0.75424.5548606028424.38314251301469
0.76425.4153435632583.90810792156022
0.77426.2172935655223.52946274727712
0.78426.9857589956613.29454274610921
0.79427.7518050159573.23315869706375
0.8428.5487066591613.34765854502833
0.81429.407436786493.6096424183131
0.82430.3518204407283.96630365854835
0.83431.3939057427374.34971727426038
0.84432.5303253364144.68556403995055
0.85433.740588970964.90010890050412
0.86434.9882022664894.93367517778807
0.87436.2251066630544.75211085324664
0.88437.3991466539014.35631586329885
0.89438.4632525587683.78613944117217
0.9439.3841488611133.11310939008898
0.91440.1481207726792.4247653288173
0.92440.7620015213051.80372712940774
0.93441.2489652683431.30818029851782
0.94441.6403311736550.95874037068248
0.95441.9656741293140.736416350788497
0.96442.2438748412520.590113438971162
0.97442.4779186034090.459554437017916
0.98442.6567710458170.30363701021558
0.99442.766902464740.128658659341474

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 370.759681638908 & 2.71044650341931 \tabularnewline
0.02 & 372.038315292551 & 2.01074715945755 \tabularnewline
0.03 & 373.157489750959 & 1.40169015020842 \tabularnewline
0.04 & 373.952019628303 & 0.961861260551408 \tabularnewline
0.05 & 374.470139725755 & 0.683011179759902 \tabularnewline
0.06 & 374.812502876689 & 0.542505756769397 \tabularnewline
0.07 & 375.063445276764 & 0.520452889798019 \tabularnewline
0.08 & 375.281630048327 & 0.601528035646795 \tabularnewline
0.09 & 375.508055633827 & 0.77774784245515 \tabularnewline
0.1 & 375.774054934558 & 1.04730958411921 \tabularnewline
0.11 & 376.105732523156 & 1.40956116598108 \tabularnewline
0.12 & 376.525311098247 & 1.85890071628223 \tabularnewline
0.13 & 377.050407798429 & 2.37899319860059 \tabularnewline
0.14 & 377.692142499855 & 2.93998870060608 \tabularnewline
0.15 & 378.452906230057 & 3.497731962954 \tabularnewline
0.16 & 379.324618053795 & 4.00077687048603 \tabularnewline
0.17 & 380.288223861614 & 4.39539931591997 \tabularnewline
0.18 & 381.314919268983 & 4.63912318318315 \tabularnewline
0.19 & 382.369122319106 & 4.70704910451597 \tabularnewline
0.2 & 383.412719771213 & 4.59586378254749 \tabularnewline
0.21 & 384.40974695683 & 4.32531512228664 \tabularnewline
0.22 & 385.330562176601 & 3.93307315192209 \tabularnewline
0.23 & 386.154755941284 & 3.46671841552484 \tabularnewline
0.24 & 386.872401700213 & 2.97619499584415 \tabularnewline
0.25 & 387.483666293004 & 2.50575660069567 \tabularnewline
0.26 & 387.997127280224 & 2.09161848499669 \tabularnewline
0.27 & 388.427319425562 & 1.75847508675615 \tabularnewline
0.28 & 388.792048903953 & 1.51891267046688 \tabularnewline
0.29 & 389.109914339774 & 1.37464860629424 \tabularnewline
0.3 & 389.398320073066 & 1.31548145974528 \tabularnewline
0.31 & 389.672113297774 & 1.32294873341131 \tabularnewline
0.32 & 389.942855907807 & 1.3748670177429 \tabularnewline
0.33 & 390.21866446151 & 1.45149824364558 \tabularnewline
0.34 & 390.504512162736 & 1.53629318128606 \tabularnewline
0.35 & 390.802872767056 & 1.61995226931905 \tabularnewline
0.36 & 391.114585712316 & 1.69739875935742 \tabularnewline
0.37 & 391.439826315812 & 1.7697144637662 \tabularnewline
0.38 & 391.7790708053 & 1.84271890030201 \tabularnewline
0.39 & 392.133952754675 & 1.92826362201574 \tabularnewline
0.4 & 392.507916409099 & 2.03969021091286 \tabularnewline
0.41 & 392.906585311825 & 2.19245668264187 \tabularnewline
0.42 & 393.337783663992 & 2.40208128255784 \tabularnewline
0.43 & 393.811174916167 & 2.67813754941154 \tabularnewline
0.44 & 394.337518498919 & 3.02375765553229 \tabularnewline
0.45 & 394.927591007255 & 3.4350581448168 \tabularnewline
0.46 & 395.59086943817 & 3.89760984946668 \tabularnewline
0.47 & 396.33412461475 & 4.38990549194064 \tabularnewline
0.48 & 397.160112935222 & 4.88368411718517 \tabularnewline
0.49 & 398.066572918124 & 5.34573715987472 \tabularnewline
0.5 & 399.045720165828 & 5.74308657174659 \tabularnewline
0.51 & 400.084385833623 & 6.04510848802071 \tabularnewline
0.52 & 401.164862508827 & 6.22806313448856 \tabularnewline
0.53 & 402.266418747008 & 6.27847805305523 \tabularnewline
0.54 & 403.367336811962 & 6.19650226956453 \tabularnewline
0.55 & 404.447237135336 & 5.99458607242244 \tabularnewline
0.56 & 405.489394776247 & 5.69940466496016 \tabularnewline
0.57 & 406.482738125637 & 5.34673086964011 \tabularnewline
0.58 & 407.42324995104 & 4.98212399743215 \tabularnewline
0.59 & 408.314559300697 & 4.65313914067627 \tabularnewline
0.6 & 409.167608381184 & 4.40649049570866 \tabularnewline
0.61 & 409.999388500066 & 4.28190534310367 \tabularnewline
0.62 & 410.830852136992 & 4.30148744466353 \tabularnewline
0.63 & 411.684214909121 & 4.46484343302797 \tabularnewline
0.64 & 412.579953113054 & 4.74931763925614 \tabularnewline
0.65 & 413.533869624107 & 5.11184472591411 \tabularnewline
0.66 & 414.554630468392 & 5.50046898544805 \tabularnewline
0.67 & 415.642152453504 & 5.85921781589041 \tabularnewline
0.68 & 416.787138554193 & 6.13576592226888 \tabularnewline
0.69 & 417.971912168562 & 6.288337678462 \tabularnewline
0.7 & 419.172509334902 & 6.28909513096936 \tabularnewline
0.71 & 420.361781480379 & 6.12967996312014 \tabularnewline
0.72 & 421.513083054913 & 5.82205686831937 \tabularnewline
0.73 & 422.604010414454 & 5.39675927033852 \tabularnewline
0.74 & 423.619647451233 & 4.8988643763384 \tabularnewline
0.75 & 424.554860602842 & 4.38314251301469 \tabularnewline
0.76 & 425.415343563258 & 3.90810792156022 \tabularnewline
0.77 & 426.217293565522 & 3.52946274727712 \tabularnewline
0.78 & 426.985758995661 & 3.29454274610921 \tabularnewline
0.79 & 427.751805015957 & 3.23315869706375 \tabularnewline
0.8 & 428.548706659161 & 3.34765854502833 \tabularnewline
0.81 & 429.40743678649 & 3.6096424183131 \tabularnewline
0.82 & 430.351820440728 & 3.96630365854835 \tabularnewline
0.83 & 431.393905742737 & 4.34971727426038 \tabularnewline
0.84 & 432.530325336414 & 4.68556403995055 \tabularnewline
0.85 & 433.74058897096 & 4.90010890050412 \tabularnewline
0.86 & 434.988202266489 & 4.93367517778807 \tabularnewline
0.87 & 436.225106663054 & 4.75211085324664 \tabularnewline
0.88 & 437.399146653901 & 4.35631586329885 \tabularnewline
0.89 & 438.463252558768 & 3.78613944117217 \tabularnewline
0.9 & 439.384148861113 & 3.11310939008898 \tabularnewline
0.91 & 440.148120772679 & 2.4247653288173 \tabularnewline
0.92 & 440.762001521305 & 1.80372712940774 \tabularnewline
0.93 & 441.248965268343 & 1.30818029851782 \tabularnewline
0.94 & 441.640331173655 & 0.95874037068248 \tabularnewline
0.95 & 441.965674129314 & 0.736416350788497 \tabularnewline
0.96 & 442.243874841252 & 0.590113438971162 \tabularnewline
0.97 & 442.477918603409 & 0.459554437017916 \tabularnewline
0.98 & 442.656771045817 & 0.30363701021558 \tabularnewline
0.99 & 442.76690246474 & 0.128658659341474 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170694&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]370.759681638908[/C][C]2.71044650341931[/C][/ROW]
[ROW][C]0.02[/C][C]372.038315292551[/C][C]2.01074715945755[/C][/ROW]
[ROW][C]0.03[/C][C]373.157489750959[/C][C]1.40169015020842[/C][/ROW]
[ROW][C]0.04[/C][C]373.952019628303[/C][C]0.961861260551408[/C][/ROW]
[ROW][C]0.05[/C][C]374.470139725755[/C][C]0.683011179759902[/C][/ROW]
[ROW][C]0.06[/C][C]374.812502876689[/C][C]0.542505756769397[/C][/ROW]
[ROW][C]0.07[/C][C]375.063445276764[/C][C]0.520452889798019[/C][/ROW]
[ROW][C]0.08[/C][C]375.281630048327[/C][C]0.601528035646795[/C][/ROW]
[ROW][C]0.09[/C][C]375.508055633827[/C][C]0.77774784245515[/C][/ROW]
[ROW][C]0.1[/C][C]375.774054934558[/C][C]1.04730958411921[/C][/ROW]
[ROW][C]0.11[/C][C]376.105732523156[/C][C]1.40956116598108[/C][/ROW]
[ROW][C]0.12[/C][C]376.525311098247[/C][C]1.85890071628223[/C][/ROW]
[ROW][C]0.13[/C][C]377.050407798429[/C][C]2.37899319860059[/C][/ROW]
[ROW][C]0.14[/C][C]377.692142499855[/C][C]2.93998870060608[/C][/ROW]
[ROW][C]0.15[/C][C]378.452906230057[/C][C]3.497731962954[/C][/ROW]
[ROW][C]0.16[/C][C]379.324618053795[/C][C]4.00077687048603[/C][/ROW]
[ROW][C]0.17[/C][C]380.288223861614[/C][C]4.39539931591997[/C][/ROW]
[ROW][C]0.18[/C][C]381.314919268983[/C][C]4.63912318318315[/C][/ROW]
[ROW][C]0.19[/C][C]382.369122319106[/C][C]4.70704910451597[/C][/ROW]
[ROW][C]0.2[/C][C]383.412719771213[/C][C]4.59586378254749[/C][/ROW]
[ROW][C]0.21[/C][C]384.40974695683[/C][C]4.32531512228664[/C][/ROW]
[ROW][C]0.22[/C][C]385.330562176601[/C][C]3.93307315192209[/C][/ROW]
[ROW][C]0.23[/C][C]386.154755941284[/C][C]3.46671841552484[/C][/ROW]
[ROW][C]0.24[/C][C]386.872401700213[/C][C]2.97619499584415[/C][/ROW]
[ROW][C]0.25[/C][C]387.483666293004[/C][C]2.50575660069567[/C][/ROW]
[ROW][C]0.26[/C][C]387.997127280224[/C][C]2.09161848499669[/C][/ROW]
[ROW][C]0.27[/C][C]388.427319425562[/C][C]1.75847508675615[/C][/ROW]
[ROW][C]0.28[/C][C]388.792048903953[/C][C]1.51891267046688[/C][/ROW]
[ROW][C]0.29[/C][C]389.109914339774[/C][C]1.37464860629424[/C][/ROW]
[ROW][C]0.3[/C][C]389.398320073066[/C][C]1.31548145974528[/C][/ROW]
[ROW][C]0.31[/C][C]389.672113297774[/C][C]1.32294873341131[/C][/ROW]
[ROW][C]0.32[/C][C]389.942855907807[/C][C]1.3748670177429[/C][/ROW]
[ROW][C]0.33[/C][C]390.21866446151[/C][C]1.45149824364558[/C][/ROW]
[ROW][C]0.34[/C][C]390.504512162736[/C][C]1.53629318128606[/C][/ROW]
[ROW][C]0.35[/C][C]390.802872767056[/C][C]1.61995226931905[/C][/ROW]
[ROW][C]0.36[/C][C]391.114585712316[/C][C]1.69739875935742[/C][/ROW]
[ROW][C]0.37[/C][C]391.439826315812[/C][C]1.7697144637662[/C][/ROW]
[ROW][C]0.38[/C][C]391.7790708053[/C][C]1.84271890030201[/C][/ROW]
[ROW][C]0.39[/C][C]392.133952754675[/C][C]1.92826362201574[/C][/ROW]
[ROW][C]0.4[/C][C]392.507916409099[/C][C]2.03969021091286[/C][/ROW]
[ROW][C]0.41[/C][C]392.906585311825[/C][C]2.19245668264187[/C][/ROW]
[ROW][C]0.42[/C][C]393.337783663992[/C][C]2.40208128255784[/C][/ROW]
[ROW][C]0.43[/C][C]393.811174916167[/C][C]2.67813754941154[/C][/ROW]
[ROW][C]0.44[/C][C]394.337518498919[/C][C]3.02375765553229[/C][/ROW]
[ROW][C]0.45[/C][C]394.927591007255[/C][C]3.4350581448168[/C][/ROW]
[ROW][C]0.46[/C][C]395.59086943817[/C][C]3.89760984946668[/C][/ROW]
[ROW][C]0.47[/C][C]396.33412461475[/C][C]4.38990549194064[/C][/ROW]
[ROW][C]0.48[/C][C]397.160112935222[/C][C]4.88368411718517[/C][/ROW]
[ROW][C]0.49[/C][C]398.066572918124[/C][C]5.34573715987472[/C][/ROW]
[ROW][C]0.5[/C][C]399.045720165828[/C][C]5.74308657174659[/C][/ROW]
[ROW][C]0.51[/C][C]400.084385833623[/C][C]6.04510848802071[/C][/ROW]
[ROW][C]0.52[/C][C]401.164862508827[/C][C]6.22806313448856[/C][/ROW]
[ROW][C]0.53[/C][C]402.266418747008[/C][C]6.27847805305523[/C][/ROW]
[ROW][C]0.54[/C][C]403.367336811962[/C][C]6.19650226956453[/C][/ROW]
[ROW][C]0.55[/C][C]404.447237135336[/C][C]5.99458607242244[/C][/ROW]
[ROW][C]0.56[/C][C]405.489394776247[/C][C]5.69940466496016[/C][/ROW]
[ROW][C]0.57[/C][C]406.482738125637[/C][C]5.34673086964011[/C][/ROW]
[ROW][C]0.58[/C][C]407.42324995104[/C][C]4.98212399743215[/C][/ROW]
[ROW][C]0.59[/C][C]408.314559300697[/C][C]4.65313914067627[/C][/ROW]
[ROW][C]0.6[/C][C]409.167608381184[/C][C]4.40649049570866[/C][/ROW]
[ROW][C]0.61[/C][C]409.999388500066[/C][C]4.28190534310367[/C][/ROW]
[ROW][C]0.62[/C][C]410.830852136992[/C][C]4.30148744466353[/C][/ROW]
[ROW][C]0.63[/C][C]411.684214909121[/C][C]4.46484343302797[/C][/ROW]
[ROW][C]0.64[/C][C]412.579953113054[/C][C]4.74931763925614[/C][/ROW]
[ROW][C]0.65[/C][C]413.533869624107[/C][C]5.11184472591411[/C][/ROW]
[ROW][C]0.66[/C][C]414.554630468392[/C][C]5.50046898544805[/C][/ROW]
[ROW][C]0.67[/C][C]415.642152453504[/C][C]5.85921781589041[/C][/ROW]
[ROW][C]0.68[/C][C]416.787138554193[/C][C]6.13576592226888[/C][/ROW]
[ROW][C]0.69[/C][C]417.971912168562[/C][C]6.288337678462[/C][/ROW]
[ROW][C]0.7[/C][C]419.172509334902[/C][C]6.28909513096936[/C][/ROW]
[ROW][C]0.71[/C][C]420.361781480379[/C][C]6.12967996312014[/C][/ROW]
[ROW][C]0.72[/C][C]421.513083054913[/C][C]5.82205686831937[/C][/ROW]
[ROW][C]0.73[/C][C]422.604010414454[/C][C]5.39675927033852[/C][/ROW]
[ROW][C]0.74[/C][C]423.619647451233[/C][C]4.8988643763384[/C][/ROW]
[ROW][C]0.75[/C][C]424.554860602842[/C][C]4.38314251301469[/C][/ROW]
[ROW][C]0.76[/C][C]425.415343563258[/C][C]3.90810792156022[/C][/ROW]
[ROW][C]0.77[/C][C]426.217293565522[/C][C]3.52946274727712[/C][/ROW]
[ROW][C]0.78[/C][C]426.985758995661[/C][C]3.29454274610921[/C][/ROW]
[ROW][C]0.79[/C][C]427.751805015957[/C][C]3.23315869706375[/C][/ROW]
[ROW][C]0.8[/C][C]428.548706659161[/C][C]3.34765854502833[/C][/ROW]
[ROW][C]0.81[/C][C]429.40743678649[/C][C]3.6096424183131[/C][/ROW]
[ROW][C]0.82[/C][C]430.351820440728[/C][C]3.96630365854835[/C][/ROW]
[ROW][C]0.83[/C][C]431.393905742737[/C][C]4.34971727426038[/C][/ROW]
[ROW][C]0.84[/C][C]432.530325336414[/C][C]4.68556403995055[/C][/ROW]
[ROW][C]0.85[/C][C]433.74058897096[/C][C]4.90010890050412[/C][/ROW]
[ROW][C]0.86[/C][C]434.988202266489[/C][C]4.93367517778807[/C][/ROW]
[ROW][C]0.87[/C][C]436.225106663054[/C][C]4.75211085324664[/C][/ROW]
[ROW][C]0.88[/C][C]437.399146653901[/C][C]4.35631586329885[/C][/ROW]
[ROW][C]0.89[/C][C]438.463252558768[/C][C]3.78613944117217[/C][/ROW]
[ROW][C]0.9[/C][C]439.384148861113[/C][C]3.11310939008898[/C][/ROW]
[ROW][C]0.91[/C][C]440.148120772679[/C][C]2.4247653288173[/C][/ROW]
[ROW][C]0.92[/C][C]440.762001521305[/C][C]1.80372712940774[/C][/ROW]
[ROW][C]0.93[/C][C]441.248965268343[/C][C]1.30818029851782[/C][/ROW]
[ROW][C]0.94[/C][C]441.640331173655[/C][C]0.95874037068248[/C][/ROW]
[ROW][C]0.95[/C][C]441.965674129314[/C][C]0.736416350788497[/C][/ROW]
[ROW][C]0.96[/C][C]442.243874841252[/C][C]0.590113438971162[/C][/ROW]
[ROW][C]0.97[/C][C]442.477918603409[/C][C]0.459554437017916[/C][/ROW]
[ROW][C]0.98[/C][C]442.656771045817[/C][C]0.30363701021558[/C][/ROW]
[ROW][C]0.99[/C][C]442.76690246474[/C][C]0.128658659341474[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170694&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170694&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
0.01370.7596816389082.71044650341931
0.02372.0383152925512.01074715945755
0.03373.1574897509591.40169015020842
0.04373.9520196283030.961861260551408
0.05374.4701397257550.683011179759902
0.06374.8125028766890.542505756769397
0.07375.0634452767640.520452889798019
0.08375.2816300483270.601528035646795
0.09375.5080556338270.77774784245515
0.1375.7740549345581.04730958411921
0.11376.1057325231561.40956116598108
0.12376.5253110982471.85890071628223
0.13377.0504077984292.37899319860059
0.14377.6921424998552.93998870060608
0.15378.4529062300573.497731962954
0.16379.3246180537954.00077687048603
0.17380.2882238616144.39539931591997
0.18381.3149192689834.63912318318315
0.19382.3691223191064.70704910451597
0.2383.4127197712134.59586378254749
0.21384.409746956834.32531512228664
0.22385.3305621766013.93307315192209
0.23386.1547559412843.46671841552484
0.24386.8724017002132.97619499584415
0.25387.4836662930042.50575660069567
0.26387.9971272802242.09161848499669
0.27388.4273194255621.75847508675615
0.28388.7920489039531.51891267046688
0.29389.1099143397741.37464860629424
0.3389.3983200730661.31548145974528
0.31389.6721132977741.32294873341131
0.32389.9428559078071.3748670177429
0.33390.218664461511.45149824364558
0.34390.5045121627361.53629318128606
0.35390.8028727670561.61995226931905
0.36391.1145857123161.69739875935742
0.37391.4398263158121.7697144637662
0.38391.77907080531.84271890030201
0.39392.1339527546751.92826362201574
0.4392.5079164090992.03969021091286
0.41392.9065853118252.19245668264187
0.42393.3377836639922.40208128255784
0.43393.8111749161672.67813754941154
0.44394.3375184989193.02375765553229
0.45394.9275910072553.4350581448168
0.46395.590869438173.89760984946668
0.47396.334124614754.38990549194064
0.48397.1601129352224.88368411718517
0.49398.0665729181245.34573715987472
0.5399.0457201658285.74308657174659
0.51400.0843858336236.04510848802071
0.52401.1648625088276.22806313448856
0.53402.2664187470086.27847805305523
0.54403.3673368119626.19650226956453
0.55404.4472371353365.99458607242244
0.56405.4893947762475.69940466496016
0.57406.4827381256375.34673086964011
0.58407.423249951044.98212399743215
0.59408.3145593006974.65313914067627
0.6409.1676083811844.40649049570866
0.61409.9993885000664.28190534310367
0.62410.8308521369924.30148744466353
0.63411.6842149091214.46484343302797
0.64412.5799531130544.74931763925614
0.65413.5338696241075.11184472591411
0.66414.5546304683925.50046898544805
0.67415.6421524535045.85921781589041
0.68416.7871385541936.13576592226888
0.69417.9719121685626.288337678462
0.7419.1725093349026.28909513096936
0.71420.3617814803796.12967996312014
0.72421.5130830549135.82205686831937
0.73422.6040104144545.39675927033852
0.74423.6196474512334.8988643763384
0.75424.5548606028424.38314251301469
0.76425.4153435632583.90810792156022
0.77426.2172935655223.52946274727712
0.78426.9857589956613.29454274610921
0.79427.7518050159573.23315869706375
0.8428.5487066591613.34765854502833
0.81429.407436786493.6096424183131
0.82430.3518204407283.96630365854835
0.83431.3939057427374.34971727426038
0.84432.5303253364144.68556403995055
0.85433.740588970964.90010890050412
0.86434.9882022664894.93367517778807
0.87436.2251066630544.75211085324664
0.88437.3991466539014.35631586329885
0.89438.4632525587683.78613944117217
0.9439.3841488611133.11310939008898
0.91440.1481207726792.4247653288173
0.92440.7620015213051.80372712940774
0.93441.2489652683431.30818029851782
0.94441.6403311736550.95874037068248
0.95441.9656741293140.736416350788497
0.96442.2438748412520.590113438971162
0.97442.4779186034090.459554437017916
0.98442.6567710458170.30363701021558
0.99442.766902464740.128658659341474


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')