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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, 29 Feb 2016 20:37:26 +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/2016/Feb/29/t1456778886lnviqdvi3zalxxo.htm/, Retrieved Tue, 30 Apr 2024 18:48:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293053, Retrieved Tue, 30 Apr 2024 18:48:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact67

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] [] [2016-02-29 20:37:26] [bfab382a4ab6d7836f6b75894769f754] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100
99
99,3
99,5
100,7
102,9
101,2
99,5
99,5
99,5
99,4
99,5
99,7
99,8
99,8
100,1
100
100
100,1
100,1
100
99,9
99,9
99,8
100,4
102,2
103,1
103
102,9
102,8
103
103,5
103,6
103,2
103
103
106,1
104,8
105,3
106,3
107,9
106,1
106,8
108,7
110,8
111,8
111,3
111,7
110,8
110,3
110,5
110,5
112,5
113
113,5
112,8
109,5
111,5
111,5
111,2

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' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293053&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' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293053&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293053&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' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0199.06723408307010.255400028108887
0.0299.16279304687760.202875299392253
0.0399.25695945493560.155871538210541
0.0499.33424160260480.12054937843879
0.0599.39224938853050.0950275374589945
0.0699.43473194667290.0771969382478156
0.0799.46674734960750.0675908488746131
0.0899.4927794375540.0674828778047323
0.0999.51633861345280.0761470785317947
0.199.53996149539610.0904560527964291
0.1199.56524904318560.106742756405931
0.1299.59293193535860.122027179624311
0.1399.62300743311740.134172309512456
0.1499.65494873391620.142017737091054
0.1599.68794826356120.145460778191634
0.1699.72114565238490.145030390111555
0.1799.75380299836660.141887171506377
0.1899.78541170731440.137462295214328
0.1999.81573611931890.132979887345827
0.299.84481288138070.129580100314114
0.2199.87292946622340.128335895505781
0.2299.90060162765880.130436988491281
0.2399.92856114678360.137027713183325
0.2499.95775558997880.149599243419266
0.2599.98935383198040.16993682768405
0.26100.0247463656960.19951530612834
0.27100.0655282703450.239535040730175
0.28100.1134546648470.290805742307772
0.29100.170362689520.353450794506452
0.3100.238059635710.426822312060412
0.31100.3181829442330.509358880196885
0.32100.4120436346560.598765312994679
0.33100.5204695254130.691393057916844
0.34100.6436675833710.783072550674928
0.35100.7811252243210.869232393808599
0.36100.9315679578050.945285033046503
0.37101.0929854436161.0066599932347
0.38101.2627303446511.0498312481712
0.39101.4376853679341.07242582872584
0.4101.6144849734631.0734847729249
0.41101.7897708648651.05362655339529
0.42101.9604557867521.01516060140325
0.43102.1239690685570.961878803353487
0.44102.2784598454530.898370746315282
0.45102.4229393770110.830464618230222
0.46102.5573513065220.764006253067431
0.47102.6825667684310.705111551119066
0.48102.8003087422710.659622477633063
0.49102.9130160761250.632463560191132
0.5103.0236617263550.627503077573879
0.51103.1355420008160.646079524183232
0.52103.2520542888250.687676928506495
0.53103.3764803644480.749604956389169
0.54103.5117912146550.828039454648683
0.55103.6604875844110.918678884089656
0.56103.8244878947511.01692481559683
0.57104.0050715646311.11836887379051
0.58104.2028807859411.21898933691554
0.59104.4179774829761.31549388626622
0.6104.6499450294281.40541647159564
0.61104.8980173280851.48722674961449
0.62105.1612125213461.56062389614308
0.63105.4384464380311.62597829926685
0.64105.7286031138331.68408186243188
0.65106.0305468074941.73560258648114
0.66106.3430712535551.78067297007673
0.67106.6647956748561.81855555587785
0.68106.9940306328441.84716432860951
0.69107.3286470312941.863622223173
0.7107.6659857315761.86442765279292
0.71108.0028415525331.84605858823925
0.72108.3355437928461.80566366442883
0.73108.6601375469541.74206573321445
0.74108.9726493508231.65567513122097
0.75109.2694014845971.54880534655446
0.76109.5473260729871.42600309856113
0.77109.8042265192131.29296807565273
0.78110.0389414761631.15614486751911
0.79110.251384739761.02214721407064
0.8110.4424598578910.896576505886227
0.81110.6138755611390.783636820600211
0.82110.7679109625250.68573285717062
0.83110.9071916769640.603484865996997
0.84111.0345348908930.536296214173156
0.85111.1529008029240.482842829824089
0.86111.2654509104360.442421585423
0.87111.3756656439590.415384692067466
0.88111.4874256064920.403291215134378
0.89111.6049300323170.407738665650597
0.9111.7323385545010.428409238653934
0.91111.8731066870320.460790902620382
0.92112.0291581156060.495745403723866
0.93112.200268949190.521042804589283
0.94112.3842010003010.524891481101639
0.95112.577924963370.501540532553791
0.96112.7793188660960.457316339402963
0.97112.9869454852280.415185069709274
0.98113.1943789076070.407927279670054
0.99113.3792870852020.445359533513598

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 99.0672340830701 & 0.255400028108887 \tabularnewline
0.02 & 99.1627930468776 & 0.202875299392253 \tabularnewline
0.03 & 99.2569594549356 & 0.155871538210541 \tabularnewline
0.04 & 99.3342416026048 & 0.12054937843879 \tabularnewline
0.05 & 99.3922493885305 & 0.0950275374589945 \tabularnewline
0.06 & 99.4347319466729 & 0.0771969382478156 \tabularnewline
0.07 & 99.4667473496075 & 0.0675908488746131 \tabularnewline
0.08 & 99.492779437554 & 0.0674828778047323 \tabularnewline
0.09 & 99.5163386134528 & 0.0761470785317947 \tabularnewline
0.1 & 99.5399614953961 & 0.0904560527964291 \tabularnewline
0.11 & 99.5652490431856 & 0.106742756405931 \tabularnewline
0.12 & 99.5929319353586 & 0.122027179624311 \tabularnewline
0.13 & 99.6230074331174 & 0.134172309512456 \tabularnewline
0.14 & 99.6549487339162 & 0.142017737091054 \tabularnewline
0.15 & 99.6879482635612 & 0.145460778191634 \tabularnewline
0.16 & 99.7211456523849 & 0.145030390111555 \tabularnewline
0.17 & 99.7538029983666 & 0.141887171506377 \tabularnewline
0.18 & 99.7854117073144 & 0.137462295214328 \tabularnewline
0.19 & 99.8157361193189 & 0.132979887345827 \tabularnewline
0.2 & 99.8448128813807 & 0.129580100314114 \tabularnewline
0.21 & 99.8729294662234 & 0.128335895505781 \tabularnewline
0.22 & 99.9006016276588 & 0.130436988491281 \tabularnewline
0.23 & 99.9285611467836 & 0.137027713183325 \tabularnewline
0.24 & 99.9577555899788 & 0.149599243419266 \tabularnewline
0.25 & 99.9893538319804 & 0.16993682768405 \tabularnewline
0.26 & 100.024746365696 & 0.19951530612834 \tabularnewline
0.27 & 100.065528270345 & 0.239535040730175 \tabularnewline
0.28 & 100.113454664847 & 0.290805742307772 \tabularnewline
0.29 & 100.17036268952 & 0.353450794506452 \tabularnewline
0.3 & 100.23805963571 & 0.426822312060412 \tabularnewline
0.31 & 100.318182944233 & 0.509358880196885 \tabularnewline
0.32 & 100.412043634656 & 0.598765312994679 \tabularnewline
0.33 & 100.520469525413 & 0.691393057916844 \tabularnewline
0.34 & 100.643667583371 & 0.783072550674928 \tabularnewline
0.35 & 100.781125224321 & 0.869232393808599 \tabularnewline
0.36 & 100.931567957805 & 0.945285033046503 \tabularnewline
0.37 & 101.092985443616 & 1.0066599932347 \tabularnewline
0.38 & 101.262730344651 & 1.0498312481712 \tabularnewline
0.39 & 101.437685367934 & 1.07242582872584 \tabularnewline
0.4 & 101.614484973463 & 1.0734847729249 \tabularnewline
0.41 & 101.789770864865 & 1.05362655339529 \tabularnewline
0.42 & 101.960455786752 & 1.01516060140325 \tabularnewline
0.43 & 102.123969068557 & 0.961878803353487 \tabularnewline
0.44 & 102.278459845453 & 0.898370746315282 \tabularnewline
0.45 & 102.422939377011 & 0.830464618230222 \tabularnewline
0.46 & 102.557351306522 & 0.764006253067431 \tabularnewline
0.47 & 102.682566768431 & 0.705111551119066 \tabularnewline
0.48 & 102.800308742271 & 0.659622477633063 \tabularnewline
0.49 & 102.913016076125 & 0.632463560191132 \tabularnewline
0.5 & 103.023661726355 & 0.627503077573879 \tabularnewline
0.51 & 103.135542000816 & 0.646079524183232 \tabularnewline
0.52 & 103.252054288825 & 0.687676928506495 \tabularnewline
0.53 & 103.376480364448 & 0.749604956389169 \tabularnewline
0.54 & 103.511791214655 & 0.828039454648683 \tabularnewline
0.55 & 103.660487584411 & 0.918678884089656 \tabularnewline
0.56 & 103.824487894751 & 1.01692481559683 \tabularnewline
0.57 & 104.005071564631 & 1.11836887379051 \tabularnewline
0.58 & 104.202880785941 & 1.21898933691554 \tabularnewline
0.59 & 104.417977482976 & 1.31549388626622 \tabularnewline
0.6 & 104.649945029428 & 1.40541647159564 \tabularnewline
0.61 & 104.898017328085 & 1.48722674961449 \tabularnewline
0.62 & 105.161212521346 & 1.56062389614308 \tabularnewline
0.63 & 105.438446438031 & 1.62597829926685 \tabularnewline
0.64 & 105.728603113833 & 1.68408186243188 \tabularnewline
0.65 & 106.030546807494 & 1.73560258648114 \tabularnewline
0.66 & 106.343071253555 & 1.78067297007673 \tabularnewline
0.67 & 106.664795674856 & 1.81855555587785 \tabularnewline
0.68 & 106.994030632844 & 1.84716432860951 \tabularnewline
0.69 & 107.328647031294 & 1.863622223173 \tabularnewline
0.7 & 107.665985731576 & 1.86442765279292 \tabularnewline
0.71 & 108.002841552533 & 1.84605858823925 \tabularnewline
0.72 & 108.335543792846 & 1.80566366442883 \tabularnewline
0.73 & 108.660137546954 & 1.74206573321445 \tabularnewline
0.74 & 108.972649350823 & 1.65567513122097 \tabularnewline
0.75 & 109.269401484597 & 1.54880534655446 \tabularnewline
0.76 & 109.547326072987 & 1.42600309856113 \tabularnewline
0.77 & 109.804226519213 & 1.29296807565273 \tabularnewline
0.78 & 110.038941476163 & 1.15614486751911 \tabularnewline
0.79 & 110.25138473976 & 1.02214721407064 \tabularnewline
0.8 & 110.442459857891 & 0.896576505886227 \tabularnewline
0.81 & 110.613875561139 & 0.783636820600211 \tabularnewline
0.82 & 110.767910962525 & 0.68573285717062 \tabularnewline
0.83 & 110.907191676964 & 0.603484865996997 \tabularnewline
0.84 & 111.034534890893 & 0.536296214173156 \tabularnewline
0.85 & 111.152900802924 & 0.482842829824089 \tabularnewline
0.86 & 111.265450910436 & 0.442421585423 \tabularnewline
0.87 & 111.375665643959 & 0.415384692067466 \tabularnewline
0.88 & 111.487425606492 & 0.403291215134378 \tabularnewline
0.89 & 111.604930032317 & 0.407738665650597 \tabularnewline
0.9 & 111.732338554501 & 0.428409238653934 \tabularnewline
0.91 & 111.873106687032 & 0.460790902620382 \tabularnewline
0.92 & 112.029158115606 & 0.495745403723866 \tabularnewline
0.93 & 112.20026894919 & 0.521042804589283 \tabularnewline
0.94 & 112.384201000301 & 0.524891481101639 \tabularnewline
0.95 & 112.57792496337 & 0.501540532553791 \tabularnewline
0.96 & 112.779318866096 & 0.457316339402963 \tabularnewline
0.97 & 112.986945485228 & 0.415185069709274 \tabularnewline
0.98 & 113.194378907607 & 0.407927279670054 \tabularnewline
0.99 & 113.379287085202 & 0.445359533513598 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293053&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]99.0672340830701[/C][C]0.255400028108887[/C][/ROW]
[ROW][C]0.02[/C][C]99.1627930468776[/C][C]0.202875299392253[/C][/ROW]
[ROW][C]0.03[/C][C]99.2569594549356[/C][C]0.155871538210541[/C][/ROW]
[ROW][C]0.04[/C][C]99.3342416026048[/C][C]0.12054937843879[/C][/ROW]
[ROW][C]0.05[/C][C]99.3922493885305[/C][C]0.0950275374589945[/C][/ROW]
[ROW][C]0.06[/C][C]99.4347319466729[/C][C]0.0771969382478156[/C][/ROW]
[ROW][C]0.07[/C][C]99.4667473496075[/C][C]0.0675908488746131[/C][/ROW]
[ROW][C]0.08[/C][C]99.492779437554[/C][C]0.0674828778047323[/C][/ROW]
[ROW][C]0.09[/C][C]99.5163386134528[/C][C]0.0761470785317947[/C][/ROW]
[ROW][C]0.1[/C][C]99.5399614953961[/C][C]0.0904560527964291[/C][/ROW]
[ROW][C]0.11[/C][C]99.5652490431856[/C][C]0.106742756405931[/C][/ROW]
[ROW][C]0.12[/C][C]99.5929319353586[/C][C]0.122027179624311[/C][/ROW]
[ROW][C]0.13[/C][C]99.6230074331174[/C][C]0.134172309512456[/C][/ROW]
[ROW][C]0.14[/C][C]99.6549487339162[/C][C]0.142017737091054[/C][/ROW]
[ROW][C]0.15[/C][C]99.6879482635612[/C][C]0.145460778191634[/C][/ROW]
[ROW][C]0.16[/C][C]99.7211456523849[/C][C]0.145030390111555[/C][/ROW]
[ROW][C]0.17[/C][C]99.7538029983666[/C][C]0.141887171506377[/C][/ROW]
[ROW][C]0.18[/C][C]99.7854117073144[/C][C]0.137462295214328[/C][/ROW]
[ROW][C]0.19[/C][C]99.8157361193189[/C][C]0.132979887345827[/C][/ROW]
[ROW][C]0.2[/C][C]99.8448128813807[/C][C]0.129580100314114[/C][/ROW]
[ROW][C]0.21[/C][C]99.8729294662234[/C][C]0.128335895505781[/C][/ROW]
[ROW][C]0.22[/C][C]99.9006016276588[/C][C]0.130436988491281[/C][/ROW]
[ROW][C]0.23[/C][C]99.9285611467836[/C][C]0.137027713183325[/C][/ROW]
[ROW][C]0.24[/C][C]99.9577555899788[/C][C]0.149599243419266[/C][/ROW]
[ROW][C]0.25[/C][C]99.9893538319804[/C][C]0.16993682768405[/C][/ROW]
[ROW][C]0.26[/C][C]100.024746365696[/C][C]0.19951530612834[/C][/ROW]
[ROW][C]0.27[/C][C]100.065528270345[/C][C]0.239535040730175[/C][/ROW]
[ROW][C]0.28[/C][C]100.113454664847[/C][C]0.290805742307772[/C][/ROW]
[ROW][C]0.29[/C][C]100.17036268952[/C][C]0.353450794506452[/C][/ROW]
[ROW][C]0.3[/C][C]100.23805963571[/C][C]0.426822312060412[/C][/ROW]
[ROW][C]0.31[/C][C]100.318182944233[/C][C]0.509358880196885[/C][/ROW]
[ROW][C]0.32[/C][C]100.412043634656[/C][C]0.598765312994679[/C][/ROW]
[ROW][C]0.33[/C][C]100.520469525413[/C][C]0.691393057916844[/C][/ROW]
[ROW][C]0.34[/C][C]100.643667583371[/C][C]0.783072550674928[/C][/ROW]
[ROW][C]0.35[/C][C]100.781125224321[/C][C]0.869232393808599[/C][/ROW]
[ROW][C]0.36[/C][C]100.931567957805[/C][C]0.945285033046503[/C][/ROW]
[ROW][C]0.37[/C][C]101.092985443616[/C][C]1.0066599932347[/C][/ROW]
[ROW][C]0.38[/C][C]101.262730344651[/C][C]1.0498312481712[/C][/ROW]
[ROW][C]0.39[/C][C]101.437685367934[/C][C]1.07242582872584[/C][/ROW]
[ROW][C]0.4[/C][C]101.614484973463[/C][C]1.0734847729249[/C][/ROW]
[ROW][C]0.41[/C][C]101.789770864865[/C][C]1.05362655339529[/C][/ROW]
[ROW][C]0.42[/C][C]101.960455786752[/C][C]1.01516060140325[/C][/ROW]
[ROW][C]0.43[/C][C]102.123969068557[/C][C]0.961878803353487[/C][/ROW]
[ROW][C]0.44[/C][C]102.278459845453[/C][C]0.898370746315282[/C][/ROW]
[ROW][C]0.45[/C][C]102.422939377011[/C][C]0.830464618230222[/C][/ROW]
[ROW][C]0.46[/C][C]102.557351306522[/C][C]0.764006253067431[/C][/ROW]
[ROW][C]0.47[/C][C]102.682566768431[/C][C]0.705111551119066[/C][/ROW]
[ROW][C]0.48[/C][C]102.800308742271[/C][C]0.659622477633063[/C][/ROW]
[ROW][C]0.49[/C][C]102.913016076125[/C][C]0.632463560191132[/C][/ROW]
[ROW][C]0.5[/C][C]103.023661726355[/C][C]0.627503077573879[/C][/ROW]
[ROW][C]0.51[/C][C]103.135542000816[/C][C]0.646079524183232[/C][/ROW]
[ROW][C]0.52[/C][C]103.252054288825[/C][C]0.687676928506495[/C][/ROW]
[ROW][C]0.53[/C][C]103.376480364448[/C][C]0.749604956389169[/C][/ROW]
[ROW][C]0.54[/C][C]103.511791214655[/C][C]0.828039454648683[/C][/ROW]
[ROW][C]0.55[/C][C]103.660487584411[/C][C]0.918678884089656[/C][/ROW]
[ROW][C]0.56[/C][C]103.824487894751[/C][C]1.01692481559683[/C][/ROW]
[ROW][C]0.57[/C][C]104.005071564631[/C][C]1.11836887379051[/C][/ROW]
[ROW][C]0.58[/C][C]104.202880785941[/C][C]1.21898933691554[/C][/ROW]
[ROW][C]0.59[/C][C]104.417977482976[/C][C]1.31549388626622[/C][/ROW]
[ROW][C]0.6[/C][C]104.649945029428[/C][C]1.40541647159564[/C][/ROW]
[ROW][C]0.61[/C][C]104.898017328085[/C][C]1.48722674961449[/C][/ROW]
[ROW][C]0.62[/C][C]105.161212521346[/C][C]1.56062389614308[/C][/ROW]
[ROW][C]0.63[/C][C]105.438446438031[/C][C]1.62597829926685[/C][/ROW]
[ROW][C]0.64[/C][C]105.728603113833[/C][C]1.68408186243188[/C][/ROW]
[ROW][C]0.65[/C][C]106.030546807494[/C][C]1.73560258648114[/C][/ROW]
[ROW][C]0.66[/C][C]106.343071253555[/C][C]1.78067297007673[/C][/ROW]
[ROW][C]0.67[/C][C]106.664795674856[/C][C]1.81855555587785[/C][/ROW]
[ROW][C]0.68[/C][C]106.994030632844[/C][C]1.84716432860951[/C][/ROW]
[ROW][C]0.69[/C][C]107.328647031294[/C][C]1.863622223173[/C][/ROW]
[ROW][C]0.7[/C][C]107.665985731576[/C][C]1.86442765279292[/C][/ROW]
[ROW][C]0.71[/C][C]108.002841552533[/C][C]1.84605858823925[/C][/ROW]
[ROW][C]0.72[/C][C]108.335543792846[/C][C]1.80566366442883[/C][/ROW]
[ROW][C]0.73[/C][C]108.660137546954[/C][C]1.74206573321445[/C][/ROW]
[ROW][C]0.74[/C][C]108.972649350823[/C][C]1.65567513122097[/C][/ROW]
[ROW][C]0.75[/C][C]109.269401484597[/C][C]1.54880534655446[/C][/ROW]
[ROW][C]0.76[/C][C]109.547326072987[/C][C]1.42600309856113[/C][/ROW]
[ROW][C]0.77[/C][C]109.804226519213[/C][C]1.29296807565273[/C][/ROW]
[ROW][C]0.78[/C][C]110.038941476163[/C][C]1.15614486751911[/C][/ROW]
[ROW][C]0.79[/C][C]110.25138473976[/C][C]1.02214721407064[/C][/ROW]
[ROW][C]0.8[/C][C]110.442459857891[/C][C]0.896576505886227[/C][/ROW]
[ROW][C]0.81[/C][C]110.613875561139[/C][C]0.783636820600211[/C][/ROW]
[ROW][C]0.82[/C][C]110.767910962525[/C][C]0.68573285717062[/C][/ROW]
[ROW][C]0.83[/C][C]110.907191676964[/C][C]0.603484865996997[/C][/ROW]
[ROW][C]0.84[/C][C]111.034534890893[/C][C]0.536296214173156[/C][/ROW]
[ROW][C]0.85[/C][C]111.152900802924[/C][C]0.482842829824089[/C][/ROW]
[ROW][C]0.86[/C][C]111.265450910436[/C][C]0.442421585423[/C][/ROW]
[ROW][C]0.87[/C][C]111.375665643959[/C][C]0.415384692067466[/C][/ROW]
[ROW][C]0.88[/C][C]111.487425606492[/C][C]0.403291215134378[/C][/ROW]
[ROW][C]0.89[/C][C]111.604930032317[/C][C]0.407738665650597[/C][/ROW]
[ROW][C]0.9[/C][C]111.732338554501[/C][C]0.428409238653934[/C][/ROW]
[ROW][C]0.91[/C][C]111.873106687032[/C][C]0.460790902620382[/C][/ROW]
[ROW][C]0.92[/C][C]112.029158115606[/C][C]0.495745403723866[/C][/ROW]
[ROW][C]0.93[/C][C]112.20026894919[/C][C]0.521042804589283[/C][/ROW]
[ROW][C]0.94[/C][C]112.384201000301[/C][C]0.524891481101639[/C][/ROW]
[ROW][C]0.95[/C][C]112.57792496337[/C][C]0.501540532553791[/C][/ROW]
[ROW][C]0.96[/C][C]112.779318866096[/C][C]0.457316339402963[/C][/ROW]
[ROW][C]0.97[/C][C]112.986945485228[/C][C]0.415185069709274[/C][/ROW]
[ROW][C]0.98[/C][C]113.194378907607[/C][C]0.407927279670054[/C][/ROW]
[ROW][C]0.99[/C][C]113.379287085202[/C][C]0.445359533513598[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293053&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293053&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
0.0199.06723408307010.255400028108887
0.0299.16279304687760.202875299392253
0.0399.25695945493560.155871538210541
0.0499.33424160260480.12054937843879
0.0599.39224938853050.0950275374589945
0.0699.43473194667290.0771969382478156
0.0799.46674734960750.0675908488746131
0.0899.4927794375540.0674828778047323
0.0999.51633861345280.0761470785317947
0.199.53996149539610.0904560527964291
0.1199.56524904318560.106742756405931
0.1299.59293193535860.122027179624311
0.1399.62300743311740.134172309512456
0.1499.65494873391620.142017737091054
0.1599.68794826356120.145460778191634
0.1699.72114565238490.145030390111555
0.1799.75380299836660.141887171506377
0.1899.78541170731440.137462295214328
0.1999.81573611931890.132979887345827
0.299.84481288138070.129580100314114
0.2199.87292946622340.128335895505781
0.2299.90060162765880.130436988491281
0.2399.92856114678360.137027713183325
0.2499.95775558997880.149599243419266
0.2599.98935383198040.16993682768405
0.26100.0247463656960.19951530612834
0.27100.0655282703450.239535040730175
0.28100.1134546648470.290805742307772
0.29100.170362689520.353450794506452
0.3100.238059635710.426822312060412
0.31100.3181829442330.509358880196885
0.32100.4120436346560.598765312994679
0.33100.5204695254130.691393057916844
0.34100.6436675833710.783072550674928
0.35100.7811252243210.869232393808599
0.36100.9315679578050.945285033046503
0.37101.0929854436161.0066599932347
0.38101.2627303446511.0498312481712
0.39101.4376853679341.07242582872584
0.4101.6144849734631.0734847729249
0.41101.7897708648651.05362655339529
0.42101.9604557867521.01516060140325
0.43102.1239690685570.961878803353487
0.44102.2784598454530.898370746315282
0.45102.4229393770110.830464618230222
0.46102.5573513065220.764006253067431
0.47102.6825667684310.705111551119066
0.48102.8003087422710.659622477633063
0.49102.9130160761250.632463560191132
0.5103.0236617263550.627503077573879
0.51103.1355420008160.646079524183232
0.52103.2520542888250.687676928506495
0.53103.3764803644480.749604956389169
0.54103.5117912146550.828039454648683
0.55103.6604875844110.918678884089656
0.56103.8244878947511.01692481559683
0.57104.0050715646311.11836887379051
0.58104.2028807859411.21898933691554
0.59104.4179774829761.31549388626622
0.6104.6499450294281.40541647159564
0.61104.8980173280851.48722674961449
0.62105.1612125213461.56062389614308
0.63105.4384464380311.62597829926685
0.64105.7286031138331.68408186243188
0.65106.0305468074941.73560258648114
0.66106.3430712535551.78067297007673
0.67106.6647956748561.81855555587785
0.68106.9940306328441.84716432860951
0.69107.3286470312941.863622223173
0.7107.6659857315761.86442765279292
0.71108.0028415525331.84605858823925
0.72108.3355437928461.80566366442883
0.73108.6601375469541.74206573321445
0.74108.9726493508231.65567513122097
0.75109.2694014845971.54880534655446
0.76109.5473260729871.42600309856113
0.77109.8042265192131.29296807565273
0.78110.0389414761631.15614486751911
0.79110.251384739761.02214721407064
0.8110.4424598578910.896576505886227
0.81110.6138755611390.783636820600211
0.82110.7679109625250.68573285717062
0.83110.9071916769640.603484865996997
0.84111.0345348908930.536296214173156
0.85111.1529008029240.482842829824089
0.86111.2654509104360.442421585423
0.87111.3756656439590.415384692067466
0.88111.4874256064920.403291215134378
0.89111.6049300323170.407738665650597
0.9111.7323385545010.428409238653934
0.91111.8731066870320.460790902620382
0.92112.0291581156060.495745403723866
0.93112.200268949190.521042804589283
0.94112.3842010003010.524891481101639
0.95112.577924963370.501540532553791
0.96112.7793188660960.457316339402963
0.97112.9869454852280.415185069709274
0.98113.1943789076070.407927279670054
0.99113.3792870852020.445359533513598


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')