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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 14 Nov 2009 08:31:12 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/14/t1258212881qazhuvntgauemsp.htm/, Retrieved Sun, 28 Apr 2024 06:51:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=57241, Retrieved Sun, 28 Apr 2024 06:51:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact161

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- RMPD      [Harrell-Davis Quantiles] [workshop 3] [2009-10-16 18:16:55] [b5908418e3090fddbd22f5f0f774653d]
-  M D          [Harrell-Davis Quantiles] [ws 3] [2009-11-14 15:31:12] [f7d3e79b917995ba1c8c80042fc22ef9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-7,905391658
-7,917186109
-7,923617208
-7,922787194
-7,915821501
-7,911917098
-7,910323253
-7,918032787
-7,920465567
-7,921890068
-7,929527208
-7,901035673
-7,908421053
-7,922182469
-7,921875
-7,923147301
-7,91617357
-7,913432836
-7,913604767
-7,924229075
-7,919886899
-7,92562724
-7,930374238
-7,90744921
-7,918592965
-7,929626412
-7,93220339
-7,929084381
-7,926374651
-7,924026591
-7,924026591
-7,932994063
-7,927404719
-7,931494662
-7,938723404
-7,919354839
-7,929468599
-7,939810834
-7,941666667
-7,938757655
-7,931232092
-7,933515483
-7,936944938
-7,940559441
-7,944684529
-7,946817786
-7,945101351
-7,91886196
-7,9238921
-7,93483927
-7,939313984
-7,936538462
-7,926829268
-7,916756757
-7,91416309
-7,923591213
-7,918085106
-7,925586137
-7,927945472
-7,901699029

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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57241&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57241&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57241&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-7.94638976008030.00156031285071992
0.02-7.945709990990810.00154816920463269
0.03-7.944910579959720.00173479265062988
0.04-7.944073774706560.00197847398007021
0.05-7.943241073628750.00212661721003584
0.06-7.942439813487990.00213282378263792
0.07-7.941692242788330.00202710862850397
0.08-7.94101204949150.00187838357661107
0.09-7.940400564863350.00175479815082999
0.1-7.9398476674580.00169138509077825
0.11-7.939336233280620.00169981891552341
0.12-7.938847330766950.00177996420936635
0.13-7.938364265896550.00190207341640586
0.14-7.93787488259440.00205319513833753
0.15-7.937372318957230.00219967517788597
0.16-7.936854686750380.00232866409352258
0.17-7.93632412385080.00243083144776861
0.18-7.935785565440870.00249172999271566
0.19-7.935245479366880.00251776038636611
0.2-7.934710732393140.00250774531909166
0.21-7.93418769026330.00246540291742265
0.22-7.93368159876320.00239882213166878
0.23-7.933196244994410.00231477198835176
0.24-7.932733861324980.00222190333729659
0.25-7.932295212348350.00212699031300115
0.26-7.931879798416770.00203694584556859
0.27-7.931486115586150.00195750955669616
0.28-7.931111926519380.00188824387325373
0.29-7.930754514627020.00182420337700832
0.3-7.930410909663260.00178605158177277
0.31-7.93007808397990.00175761671783388
0.32-7.929753123597280.00174561582284455
0.33-7.929433378015990.00174878767188936
0.34-7.929116589346660.00175486628892303
0.35-7.928800997329510.00177417642508327
0.36-7.928485414155360.00179673334818910
0.37-7.928169262742520.00182151893774641
0.38-7.927852574258620.00183661093676874
0.39-7.927535944375140.00184387402092274
0.4-7.927220451818530.00184968093889522
0.41-7.926907546163740.00183339813948417
0.42-7.926598913885410.00180850684122466
0.43-7.926296332372230.00177784029074955
0.44-7.926001521290.00172942934979475
0.45-7.925715999895540.00166965123905345
0.46-7.92544095811170.00160438536539558
0.47-7.925177148553220.0015350025768737
0.48-7.924924806113340.00146425317838934
0.49-7.924683600852710.00139391971582413
0.5-7.924452628428680.00132550546438300
0.51-7.924230439998340.00127467530259307
0.52-7.924015110538570.00124251247867843
0.53-7.923804341249630.00121037721267362
0.54-7.923595588700750.00120729034580988
0.55-7.923386211173010.00121327284052668
0.56-7.923173621588280.00124247281363210
0.57-7.922955436513590.00127938663263506
0.58-7.922729611725310.00132723715355683
0.59-7.922494556253730.0013891510401743
0.6-7.922249218254150.00145164637119872
0.61-7.92199313720030.00150860638874470
0.62-7.921726457807890.00157170832841176
0.63-7.92144990210470.00161691460960555
0.64-7.92116469766780.00166057808981228
0.65-7.920872462691490.00168789969230798
0.66-7.92057505238330.00169739124302231
0.67-7.920274375915230.00170188390374814
0.68-7.919972198029690.00168649334263239
0.69-7.919669943359840.00166558770735113
0.7-7.919368523500650.00163885322268143
0.71-7.919068206097680.00160399487477076
0.72-7.918768541485450.00157728102804825
0.73-7.918468356084360.0015569063483833
0.74-7.918165813669980.00154505943104478
0.75-7.917858536714860.00154964929717489
0.76-7.917543771089270.00156391662736854
0.77-7.917218569150370.00159442890964750
0.78-7.916879959462230.00163895442578209
0.79-7.916525067646530.00169145883464019
0.8-7.916151154964460.00175224507634053
0.81-7.915755552901760.00181740191036305
0.82-7.915335496254570.0018835430411544
0.83-7.914887893094170.00195914885223778
0.84-7.914409109056720.00203612716800798
0.85-7.913894867573030.00212508812245620
0.86-7.913340351876090.00222171729061001
0.87-7.91274051711610.00233127443250802
0.88-7.9120904818430.00244261296706029
0.89-7.911385713585980.00255197187445256
0.9-7.910621664619940.00264870108865900
0.91-7.909792721813350.00272594859040767
0.92-7.90889097156680.00278635145692099
0.93-7.907906332076420.00285017977308638
0.94-7.90683060430820.00292975896395057
0.95-7.905667814372680.00300033758118948
0.96-7.904450379983220.00297859015838351
0.97-7.90325459920180.0027173448881596
0.98-7.902202077487070.00210952546635283
0.99-7.901431669402820.00126781543410728

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -7.9463897600803 & 0.00156031285071992 \tabularnewline
0.02 & -7.94570999099081 & 0.00154816920463269 \tabularnewline
0.03 & -7.94491057995972 & 0.00173479265062988 \tabularnewline
0.04 & -7.94407377470656 & 0.00197847398007021 \tabularnewline
0.05 & -7.94324107362875 & 0.00212661721003584 \tabularnewline
0.06 & -7.94243981348799 & 0.00213282378263792 \tabularnewline
0.07 & -7.94169224278833 & 0.00202710862850397 \tabularnewline
0.08 & -7.9410120494915 & 0.00187838357661107 \tabularnewline
0.09 & -7.94040056486335 & 0.00175479815082999 \tabularnewline
0.1 & -7.939847667458 & 0.00169138509077825 \tabularnewline
0.11 & -7.93933623328062 & 0.00169981891552341 \tabularnewline
0.12 & -7.93884733076695 & 0.00177996420936635 \tabularnewline
0.13 & -7.93836426589655 & 0.00190207341640586 \tabularnewline
0.14 & -7.9378748825944 & 0.00205319513833753 \tabularnewline
0.15 & -7.93737231895723 & 0.00219967517788597 \tabularnewline
0.16 & -7.93685468675038 & 0.00232866409352258 \tabularnewline
0.17 & -7.9363241238508 & 0.00243083144776861 \tabularnewline
0.18 & -7.93578556544087 & 0.00249172999271566 \tabularnewline
0.19 & -7.93524547936688 & 0.00251776038636611 \tabularnewline
0.2 & -7.93471073239314 & 0.00250774531909166 \tabularnewline
0.21 & -7.9341876902633 & 0.00246540291742265 \tabularnewline
0.22 & -7.9336815987632 & 0.00239882213166878 \tabularnewline
0.23 & -7.93319624499441 & 0.00231477198835176 \tabularnewline
0.24 & -7.93273386132498 & 0.00222190333729659 \tabularnewline
0.25 & -7.93229521234835 & 0.00212699031300115 \tabularnewline
0.26 & -7.93187979841677 & 0.00203694584556859 \tabularnewline
0.27 & -7.93148611558615 & 0.00195750955669616 \tabularnewline
0.28 & -7.93111192651938 & 0.00188824387325373 \tabularnewline
0.29 & -7.93075451462702 & 0.00182420337700832 \tabularnewline
0.3 & -7.93041090966326 & 0.00178605158177277 \tabularnewline
0.31 & -7.9300780839799 & 0.00175761671783388 \tabularnewline
0.32 & -7.92975312359728 & 0.00174561582284455 \tabularnewline
0.33 & -7.92943337801599 & 0.00174878767188936 \tabularnewline
0.34 & -7.92911658934666 & 0.00175486628892303 \tabularnewline
0.35 & -7.92880099732951 & 0.00177417642508327 \tabularnewline
0.36 & -7.92848541415536 & 0.00179673334818910 \tabularnewline
0.37 & -7.92816926274252 & 0.00182151893774641 \tabularnewline
0.38 & -7.92785257425862 & 0.00183661093676874 \tabularnewline
0.39 & -7.92753594437514 & 0.00184387402092274 \tabularnewline
0.4 & -7.92722045181853 & 0.00184968093889522 \tabularnewline
0.41 & -7.92690754616374 & 0.00183339813948417 \tabularnewline
0.42 & -7.92659891388541 & 0.00180850684122466 \tabularnewline
0.43 & -7.92629633237223 & 0.00177784029074955 \tabularnewline
0.44 & -7.92600152129 & 0.00172942934979475 \tabularnewline
0.45 & -7.92571599989554 & 0.00166965123905345 \tabularnewline
0.46 & -7.9254409581117 & 0.00160438536539558 \tabularnewline
0.47 & -7.92517714855322 & 0.0015350025768737 \tabularnewline
0.48 & -7.92492480611334 & 0.00146425317838934 \tabularnewline
0.49 & -7.92468360085271 & 0.00139391971582413 \tabularnewline
0.5 & -7.92445262842868 & 0.00132550546438300 \tabularnewline
0.51 & -7.92423043999834 & 0.00127467530259307 \tabularnewline
0.52 & -7.92401511053857 & 0.00124251247867843 \tabularnewline
0.53 & -7.92380434124963 & 0.00121037721267362 \tabularnewline
0.54 & -7.92359558870075 & 0.00120729034580988 \tabularnewline
0.55 & -7.92338621117301 & 0.00121327284052668 \tabularnewline
0.56 & -7.92317362158828 & 0.00124247281363210 \tabularnewline
0.57 & -7.92295543651359 & 0.00127938663263506 \tabularnewline
0.58 & -7.92272961172531 & 0.00132723715355683 \tabularnewline
0.59 & -7.92249455625373 & 0.0013891510401743 \tabularnewline
0.6 & -7.92224921825415 & 0.00145164637119872 \tabularnewline
0.61 & -7.9219931372003 & 0.00150860638874470 \tabularnewline
0.62 & -7.92172645780789 & 0.00157170832841176 \tabularnewline
0.63 & -7.9214499021047 & 0.00161691460960555 \tabularnewline
0.64 & -7.9211646976678 & 0.00166057808981228 \tabularnewline
0.65 & -7.92087246269149 & 0.00168789969230798 \tabularnewline
0.66 & -7.9205750523833 & 0.00169739124302231 \tabularnewline
0.67 & -7.92027437591523 & 0.00170188390374814 \tabularnewline
0.68 & -7.91997219802969 & 0.00168649334263239 \tabularnewline
0.69 & -7.91966994335984 & 0.00166558770735113 \tabularnewline
0.7 & -7.91936852350065 & 0.00163885322268143 \tabularnewline
0.71 & -7.91906820609768 & 0.00160399487477076 \tabularnewline
0.72 & -7.91876854148545 & 0.00157728102804825 \tabularnewline
0.73 & -7.91846835608436 & 0.0015569063483833 \tabularnewline
0.74 & -7.91816581366998 & 0.00154505943104478 \tabularnewline
0.75 & -7.91785853671486 & 0.00154964929717489 \tabularnewline
0.76 & -7.91754377108927 & 0.00156391662736854 \tabularnewline
0.77 & -7.91721856915037 & 0.00159442890964750 \tabularnewline
0.78 & -7.91687995946223 & 0.00163895442578209 \tabularnewline
0.79 & -7.91652506764653 & 0.00169145883464019 \tabularnewline
0.8 & -7.91615115496446 & 0.00175224507634053 \tabularnewline
0.81 & -7.91575555290176 & 0.00181740191036305 \tabularnewline
0.82 & -7.91533549625457 & 0.0018835430411544 \tabularnewline
0.83 & -7.91488789309417 & 0.00195914885223778 \tabularnewline
0.84 & -7.91440910905672 & 0.00203612716800798 \tabularnewline
0.85 & -7.91389486757303 & 0.00212508812245620 \tabularnewline
0.86 & -7.91334035187609 & 0.00222171729061001 \tabularnewline
0.87 & -7.9127405171161 & 0.00233127443250802 \tabularnewline
0.88 & -7.912090481843 & 0.00244261296706029 \tabularnewline
0.89 & -7.91138571358598 & 0.00255197187445256 \tabularnewline
0.9 & -7.91062166461994 & 0.00264870108865900 \tabularnewline
0.91 & -7.90979272181335 & 0.00272594859040767 \tabularnewline
0.92 & -7.9088909715668 & 0.00278635145692099 \tabularnewline
0.93 & -7.90790633207642 & 0.00285017977308638 \tabularnewline
0.94 & -7.9068306043082 & 0.00292975896395057 \tabularnewline
0.95 & -7.90566781437268 & 0.00300033758118948 \tabularnewline
0.96 & -7.90445037998322 & 0.00297859015838351 \tabularnewline
0.97 & -7.9032545992018 & 0.0027173448881596 \tabularnewline
0.98 & -7.90220207748707 & 0.00210952546635283 \tabularnewline
0.99 & -7.90143166940282 & 0.00126781543410728 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57241&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]-7.9463897600803[/C][C]0.00156031285071992[/C][/ROW]
[ROW][C]0.02[/C][C]-7.94570999099081[/C][C]0.00154816920463269[/C][/ROW]
[ROW][C]0.03[/C][C]-7.94491057995972[/C][C]0.00173479265062988[/C][/ROW]
[ROW][C]0.04[/C][C]-7.94407377470656[/C][C]0.00197847398007021[/C][/ROW]
[ROW][C]0.05[/C][C]-7.94324107362875[/C][C]0.00212661721003584[/C][/ROW]
[ROW][C]0.06[/C][C]-7.94243981348799[/C][C]0.00213282378263792[/C][/ROW]
[ROW][C]0.07[/C][C]-7.94169224278833[/C][C]0.00202710862850397[/C][/ROW]
[ROW][C]0.08[/C][C]-7.9410120494915[/C][C]0.00187838357661107[/C][/ROW]
[ROW][C]0.09[/C][C]-7.94040056486335[/C][C]0.00175479815082999[/C][/ROW]
[ROW][C]0.1[/C][C]-7.939847667458[/C][C]0.00169138509077825[/C][/ROW]
[ROW][C]0.11[/C][C]-7.93933623328062[/C][C]0.00169981891552341[/C][/ROW]
[ROW][C]0.12[/C][C]-7.93884733076695[/C][C]0.00177996420936635[/C][/ROW]
[ROW][C]0.13[/C][C]-7.93836426589655[/C][C]0.00190207341640586[/C][/ROW]
[ROW][C]0.14[/C][C]-7.9378748825944[/C][C]0.00205319513833753[/C][/ROW]
[ROW][C]0.15[/C][C]-7.93737231895723[/C][C]0.00219967517788597[/C][/ROW]
[ROW][C]0.16[/C][C]-7.93685468675038[/C][C]0.00232866409352258[/C][/ROW]
[ROW][C]0.17[/C][C]-7.9363241238508[/C][C]0.00243083144776861[/C][/ROW]
[ROW][C]0.18[/C][C]-7.93578556544087[/C][C]0.00249172999271566[/C][/ROW]
[ROW][C]0.19[/C][C]-7.93524547936688[/C][C]0.00251776038636611[/C][/ROW]
[ROW][C]0.2[/C][C]-7.93471073239314[/C][C]0.00250774531909166[/C][/ROW]
[ROW][C]0.21[/C][C]-7.9341876902633[/C][C]0.00246540291742265[/C][/ROW]
[ROW][C]0.22[/C][C]-7.9336815987632[/C][C]0.00239882213166878[/C][/ROW]
[ROW][C]0.23[/C][C]-7.93319624499441[/C][C]0.00231477198835176[/C][/ROW]
[ROW][C]0.24[/C][C]-7.93273386132498[/C][C]0.00222190333729659[/C][/ROW]
[ROW][C]0.25[/C][C]-7.93229521234835[/C][C]0.00212699031300115[/C][/ROW]
[ROW][C]0.26[/C][C]-7.93187979841677[/C][C]0.00203694584556859[/C][/ROW]
[ROW][C]0.27[/C][C]-7.93148611558615[/C][C]0.00195750955669616[/C][/ROW]
[ROW][C]0.28[/C][C]-7.93111192651938[/C][C]0.00188824387325373[/C][/ROW]
[ROW][C]0.29[/C][C]-7.93075451462702[/C][C]0.00182420337700832[/C][/ROW]
[ROW][C]0.3[/C][C]-7.93041090966326[/C][C]0.00178605158177277[/C][/ROW]
[ROW][C]0.31[/C][C]-7.9300780839799[/C][C]0.00175761671783388[/C][/ROW]
[ROW][C]0.32[/C][C]-7.92975312359728[/C][C]0.00174561582284455[/C][/ROW]
[ROW][C]0.33[/C][C]-7.92943337801599[/C][C]0.00174878767188936[/C][/ROW]
[ROW][C]0.34[/C][C]-7.92911658934666[/C][C]0.00175486628892303[/C][/ROW]
[ROW][C]0.35[/C][C]-7.92880099732951[/C][C]0.00177417642508327[/C][/ROW]
[ROW][C]0.36[/C][C]-7.92848541415536[/C][C]0.00179673334818910[/C][/ROW]
[ROW][C]0.37[/C][C]-7.92816926274252[/C][C]0.00182151893774641[/C][/ROW]
[ROW][C]0.38[/C][C]-7.92785257425862[/C][C]0.00183661093676874[/C][/ROW]
[ROW][C]0.39[/C][C]-7.92753594437514[/C][C]0.00184387402092274[/C][/ROW]
[ROW][C]0.4[/C][C]-7.92722045181853[/C][C]0.00184968093889522[/C][/ROW]
[ROW][C]0.41[/C][C]-7.92690754616374[/C][C]0.00183339813948417[/C][/ROW]
[ROW][C]0.42[/C][C]-7.92659891388541[/C][C]0.00180850684122466[/C][/ROW]
[ROW][C]0.43[/C][C]-7.92629633237223[/C][C]0.00177784029074955[/C][/ROW]
[ROW][C]0.44[/C][C]-7.92600152129[/C][C]0.00172942934979475[/C][/ROW]
[ROW][C]0.45[/C][C]-7.92571599989554[/C][C]0.00166965123905345[/C][/ROW]
[ROW][C]0.46[/C][C]-7.9254409581117[/C][C]0.00160438536539558[/C][/ROW]
[ROW][C]0.47[/C][C]-7.92517714855322[/C][C]0.0015350025768737[/C][/ROW]
[ROW][C]0.48[/C][C]-7.92492480611334[/C][C]0.00146425317838934[/C][/ROW]
[ROW][C]0.49[/C][C]-7.92468360085271[/C][C]0.00139391971582413[/C][/ROW]
[ROW][C]0.5[/C][C]-7.92445262842868[/C][C]0.00132550546438300[/C][/ROW]
[ROW][C]0.51[/C][C]-7.92423043999834[/C][C]0.00127467530259307[/C][/ROW]
[ROW][C]0.52[/C][C]-7.92401511053857[/C][C]0.00124251247867843[/C][/ROW]
[ROW][C]0.53[/C][C]-7.92380434124963[/C][C]0.00121037721267362[/C][/ROW]
[ROW][C]0.54[/C][C]-7.92359558870075[/C][C]0.00120729034580988[/C][/ROW]
[ROW][C]0.55[/C][C]-7.92338621117301[/C][C]0.00121327284052668[/C][/ROW]
[ROW][C]0.56[/C][C]-7.92317362158828[/C][C]0.00124247281363210[/C][/ROW]
[ROW][C]0.57[/C][C]-7.92295543651359[/C][C]0.00127938663263506[/C][/ROW]
[ROW][C]0.58[/C][C]-7.92272961172531[/C][C]0.00132723715355683[/C][/ROW]
[ROW][C]0.59[/C][C]-7.92249455625373[/C][C]0.0013891510401743[/C][/ROW]
[ROW][C]0.6[/C][C]-7.92224921825415[/C][C]0.00145164637119872[/C][/ROW]
[ROW][C]0.61[/C][C]-7.9219931372003[/C][C]0.00150860638874470[/C][/ROW]
[ROW][C]0.62[/C][C]-7.92172645780789[/C][C]0.00157170832841176[/C][/ROW]
[ROW][C]0.63[/C][C]-7.9214499021047[/C][C]0.00161691460960555[/C][/ROW]
[ROW][C]0.64[/C][C]-7.9211646976678[/C][C]0.00166057808981228[/C][/ROW]
[ROW][C]0.65[/C][C]-7.92087246269149[/C][C]0.00168789969230798[/C][/ROW]
[ROW][C]0.66[/C][C]-7.9205750523833[/C][C]0.00169739124302231[/C][/ROW]
[ROW][C]0.67[/C][C]-7.92027437591523[/C][C]0.00170188390374814[/C][/ROW]
[ROW][C]0.68[/C][C]-7.91997219802969[/C][C]0.00168649334263239[/C][/ROW]
[ROW][C]0.69[/C][C]-7.91966994335984[/C][C]0.00166558770735113[/C][/ROW]
[ROW][C]0.7[/C][C]-7.91936852350065[/C][C]0.00163885322268143[/C][/ROW]
[ROW][C]0.71[/C][C]-7.91906820609768[/C][C]0.00160399487477076[/C][/ROW]
[ROW][C]0.72[/C][C]-7.91876854148545[/C][C]0.00157728102804825[/C][/ROW]
[ROW][C]0.73[/C][C]-7.91846835608436[/C][C]0.0015569063483833[/C][/ROW]
[ROW][C]0.74[/C][C]-7.91816581366998[/C][C]0.00154505943104478[/C][/ROW]
[ROW][C]0.75[/C][C]-7.91785853671486[/C][C]0.00154964929717489[/C][/ROW]
[ROW][C]0.76[/C][C]-7.91754377108927[/C][C]0.00156391662736854[/C][/ROW]
[ROW][C]0.77[/C][C]-7.91721856915037[/C][C]0.00159442890964750[/C][/ROW]
[ROW][C]0.78[/C][C]-7.91687995946223[/C][C]0.00163895442578209[/C][/ROW]
[ROW][C]0.79[/C][C]-7.91652506764653[/C][C]0.00169145883464019[/C][/ROW]
[ROW][C]0.8[/C][C]-7.91615115496446[/C][C]0.00175224507634053[/C][/ROW]
[ROW][C]0.81[/C][C]-7.91575555290176[/C][C]0.00181740191036305[/C][/ROW]
[ROW][C]0.82[/C][C]-7.91533549625457[/C][C]0.0018835430411544[/C][/ROW]
[ROW][C]0.83[/C][C]-7.91488789309417[/C][C]0.00195914885223778[/C][/ROW]
[ROW][C]0.84[/C][C]-7.91440910905672[/C][C]0.00203612716800798[/C][/ROW]
[ROW][C]0.85[/C][C]-7.91389486757303[/C][C]0.00212508812245620[/C][/ROW]
[ROW][C]0.86[/C][C]-7.91334035187609[/C][C]0.00222171729061001[/C][/ROW]
[ROW][C]0.87[/C][C]-7.9127405171161[/C][C]0.00233127443250802[/C][/ROW]
[ROW][C]0.88[/C][C]-7.912090481843[/C][C]0.00244261296706029[/C][/ROW]
[ROW][C]0.89[/C][C]-7.91138571358598[/C][C]0.00255197187445256[/C][/ROW]
[ROW][C]0.9[/C][C]-7.91062166461994[/C][C]0.00264870108865900[/C][/ROW]
[ROW][C]0.91[/C][C]-7.90979272181335[/C][C]0.00272594859040767[/C][/ROW]
[ROW][C]0.92[/C][C]-7.9088909715668[/C][C]0.00278635145692099[/C][/ROW]
[ROW][C]0.93[/C][C]-7.90790633207642[/C][C]0.00285017977308638[/C][/ROW]
[ROW][C]0.94[/C][C]-7.9068306043082[/C][C]0.00292975896395057[/C][/ROW]
[ROW][C]0.95[/C][C]-7.90566781437268[/C][C]0.00300033758118948[/C][/ROW]
[ROW][C]0.96[/C][C]-7.90445037998322[/C][C]0.00297859015838351[/C][/ROW]
[ROW][C]0.97[/C][C]-7.9032545992018[/C][C]0.0027173448881596[/C][/ROW]
[ROW][C]0.98[/C][C]-7.90220207748707[/C][C]0.00210952546635283[/C][/ROW]
[ROW][C]0.99[/C][C]-7.90143166940282[/C][C]0.00126781543410728[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57241&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57241&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
0.01-7.94638976008030.00156031285071992
0.02-7.945709990990810.00154816920463269
0.03-7.944910579959720.00173479265062988
0.04-7.944073774706560.00197847398007021
0.05-7.943241073628750.00212661721003584
0.06-7.942439813487990.00213282378263792
0.07-7.941692242788330.00202710862850397
0.08-7.94101204949150.00187838357661107
0.09-7.940400564863350.00175479815082999
0.1-7.9398476674580.00169138509077825
0.11-7.939336233280620.00169981891552341
0.12-7.938847330766950.00177996420936635
0.13-7.938364265896550.00190207341640586
0.14-7.93787488259440.00205319513833753
0.15-7.937372318957230.00219967517788597
0.16-7.936854686750380.00232866409352258
0.17-7.93632412385080.00243083144776861
0.18-7.935785565440870.00249172999271566
0.19-7.935245479366880.00251776038636611
0.2-7.934710732393140.00250774531909166
0.21-7.93418769026330.00246540291742265
0.22-7.93368159876320.00239882213166878
0.23-7.933196244994410.00231477198835176
0.24-7.932733861324980.00222190333729659
0.25-7.932295212348350.00212699031300115
0.26-7.931879798416770.00203694584556859
0.27-7.931486115586150.00195750955669616
0.28-7.931111926519380.00188824387325373
0.29-7.930754514627020.00182420337700832
0.3-7.930410909663260.00178605158177277
0.31-7.93007808397990.00175761671783388
0.32-7.929753123597280.00174561582284455
0.33-7.929433378015990.00174878767188936
0.34-7.929116589346660.00175486628892303
0.35-7.928800997329510.00177417642508327
0.36-7.928485414155360.00179673334818910
0.37-7.928169262742520.00182151893774641
0.38-7.927852574258620.00183661093676874
0.39-7.927535944375140.00184387402092274
0.4-7.927220451818530.00184968093889522
0.41-7.926907546163740.00183339813948417
0.42-7.926598913885410.00180850684122466
0.43-7.926296332372230.00177784029074955
0.44-7.926001521290.00172942934979475
0.45-7.925715999895540.00166965123905345
0.46-7.92544095811170.00160438536539558
0.47-7.925177148553220.0015350025768737
0.48-7.924924806113340.00146425317838934
0.49-7.924683600852710.00139391971582413
0.5-7.924452628428680.00132550546438300
0.51-7.924230439998340.00127467530259307
0.52-7.924015110538570.00124251247867843
0.53-7.923804341249630.00121037721267362
0.54-7.923595588700750.00120729034580988
0.55-7.923386211173010.00121327284052668
0.56-7.923173621588280.00124247281363210
0.57-7.922955436513590.00127938663263506
0.58-7.922729611725310.00132723715355683
0.59-7.922494556253730.0013891510401743
0.6-7.922249218254150.00145164637119872
0.61-7.92199313720030.00150860638874470
0.62-7.921726457807890.00157170832841176
0.63-7.92144990210470.00161691460960555
0.64-7.92116469766780.00166057808981228
0.65-7.920872462691490.00168789969230798
0.66-7.92057505238330.00169739124302231
0.67-7.920274375915230.00170188390374814
0.68-7.919972198029690.00168649334263239
0.69-7.919669943359840.00166558770735113
0.7-7.919368523500650.00163885322268143
0.71-7.919068206097680.00160399487477076
0.72-7.918768541485450.00157728102804825
0.73-7.918468356084360.0015569063483833
0.74-7.918165813669980.00154505943104478
0.75-7.917858536714860.00154964929717489
0.76-7.917543771089270.00156391662736854
0.77-7.917218569150370.00159442890964750
0.78-7.916879959462230.00163895442578209
0.79-7.916525067646530.00169145883464019
0.8-7.916151154964460.00175224507634053
0.81-7.915755552901760.00181740191036305
0.82-7.915335496254570.0018835430411544
0.83-7.914887893094170.00195914885223778
0.84-7.914409109056720.00203612716800798
0.85-7.913894867573030.00212508812245620
0.86-7.913340351876090.00222171729061001
0.87-7.91274051711610.00233127443250802
0.88-7.9120904818430.00244261296706029
0.89-7.911385713585980.00255197187445256
0.9-7.910621664619940.00264870108865900
0.91-7.909792721813350.00272594859040767
0.92-7.90889097156680.00278635145692099
0.93-7.907906332076420.00285017977308638
0.94-7.90683060430820.00292975896395057
0.95-7.905667814372680.00300033758118948
0.96-7.904450379983220.00297859015838351
0.97-7.90325459920180.0027173448881596
0.98-7.902202077487070.00210952546635283
0.99-7.901431669402820.00126781543410728


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')