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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 29 Nov 2007 02:47:57 -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/2007/Nov/29/t11963290451593p02pnmt7qt0.htm/, Retrieved Fri, 03 May 2024 06:01:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7317, Retrieved Fri, 03 May 2024 06:01:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact194

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] [t] [2007-11-29 09:47:57] [fa77851485501f69e030fcd6dbd2de67] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
15
3
2
-2
1
1
-1
-6
-13
-25
-26
-9
1
3
6
2
5
5
0
-5
-4
-2
-1
-8
-16
-19
-28
-11
-4
-9
-12
-10
-2
-13
0
0
4
7
5
2
-2
6
-3
1
0
-7
-6
-4
-4
-2
2
-5
-15
-16
-18
-13
-23
-10
-10
-6
-3
-4
-7
-7
-7
-3
0
-5
-3
3
2
-7
-1
0
-3
4
2
3
0
-10
-10

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7317&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7317&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7317&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-27.21593593146231.86789939226467
0.02-25.9516661025532.13383133952496
0.03-24.48877887174292.73469254374142
0.04-22.93811208387783.2477824966169
0.05-21.37087086113633.4473191918169
0.06-19.87269245090053.3461644318065
0.07-18.51508643651353.07560123865031
0.08-17.32967329152192.77001934046812
0.09-16.31055463597312.50780295014184
0.1-15.43145505215582.30889118602366
0.11-14.66195723771602.16049434823251
0.12-13.97651200965882.04286901309459
0.13-13.35696556122561.94109890114823
0.14-12.79162255937301.84601152568432
0.15-12.27326834609351.75192529846911
0.16-11.79728072796381.65597375732680
0.17-11.36009941273541.55916501960900
0.18-10.95805939217291.46708692776241
0.19-10.5866468431341.3886261474514
0.2-10.24028934965751.33264685635142
0.21-9.91271110304481.30397700594763
0.22-9.597710652866531.30082681926908
0.23-9.290070886084321.31517033810568
0.24-8.986276754136541.33581889558327
0.25-8.68480868881781.35209594376106
0.26-8.385946981162971.35658688329254
0.27-8.091189208440451.34635131059253
0.28-7.802488966520571.32281671867398
0.29-7.521545143856271.29060706852090
0.3-7.249317526213141.25582780309992
0.31-6.985849477948351.22417452053501
0.32-6.73037981314821.19946178350923
0.33-6.481653411671751.18288625006883
0.34-6.238308093550231.17317230782854
0.35-5.999222785369311.1673190382934
0.36-5.763747272723931.16173469785895
0.37-5.53178058995151.15316040576006
0.38-5.303708511902891.13934255445603
0.39-5.08024087927331.11930419006488
0.4-4.862202895235231.09336182598337
0.41-4.65033248653651.06287146548052
0.42-4.445122883082731.02985589059306
0.43-4.246731389780880.996565726656207
0.44-4.054957097522040.965096758440943
0.45-3.869275837963180.937108106926306
0.46-3.688912150342340.913675325291713
0.47-3.512925852955070.895315532773525
0.48-3.34029408835720.88211359362068
0.49-3.169976630926250.87387608446523
0.5-3.00096062440740.87029686141446
0.51-2.832288668511490.8710334966413
0.52-2.663079629904430.875727391365947
0.53-2.492553618099500.88392189081204
0.54-2.320070764738690.894961320571668
0.55-2.145187965671010.90783536658255
0.56-1.967729539527760.921067089547079
0.57-1.787858610336790.932704784755298
0.58-1.606128451127250.940446440622058
0.59-1.4234898326620.941955664011478
0.6-1.241233894661320.935276629931372
0.61-1.060861009591960.919300851709875
0.62-0.8838831327158820.894161579070995
0.63-0.7115864685605530.861444930793922
0.64-0.5447975581366270.824143559246137
0.65-0.383703621427430.786316825459492
0.66-0.2277734384359610.75245313333462
0.67-0.07580774540150930.726591643964711
0.680.07387861261959050.71137195363902
0.690.2231703448575360.707299830954379
0.70.373814173784410.712564390650002
0.710.5270977476094250.723502717027555
0.720.6836131805045230.735502466388783
0.730.843159708611870.74399637061598
0.741.004814664567650.745338499518607
0.751.167169135798070.737469546327113
0.761.328689185134720.720339893520267
0.771.488131644660580.696028868613577
0.781.644923663275270.668503967300672
0.791.799417064934330.642914047625431
0.81.952958810661640.624431176718830
0.812.107774120778860.616852042039313
0.822.266720381556400.62163126809163
0.832.433006370611610.638008389927413
0.842.609953343733010.664210462926784
0.852.8007987883220.69864150084061
0.863.008451231955760.739890629009003
0.873.235074646167820.785285754545245
0.883.481487321116420.829151167033061
0.893.746599482064040.86263859628058
0.94.027355625807460.87631540418258
0.914.319689772524460.865009062477334
0.924.620834549472570.83253832388212
0.934.933617110005160.79330218250812
0.945.275871845484270.770916648659723
0.955.704438295391840.810422074778522
0.966.367305288382771.04839077948246
0.977.565131092525841.80552366410404
0.989.669531261646953.44408152867439
0.9912.59205800602995.87025405999966

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -27.2159359314623 & 1.86789939226467 \tabularnewline
0.02 & -25.951666102553 & 2.13383133952496 \tabularnewline
0.03 & -24.4887788717429 & 2.73469254374142 \tabularnewline
0.04 & -22.9381120838778 & 3.2477824966169 \tabularnewline
0.05 & -21.3708708611363 & 3.4473191918169 \tabularnewline
0.06 & -19.8726924509005 & 3.3461644318065 \tabularnewline
0.07 & -18.5150864365135 & 3.07560123865031 \tabularnewline
0.08 & -17.3296732915219 & 2.77001934046812 \tabularnewline
0.09 & -16.3105546359731 & 2.50780295014184 \tabularnewline
0.1 & -15.4314550521558 & 2.30889118602366 \tabularnewline
0.11 & -14.6619572377160 & 2.16049434823251 \tabularnewline
0.12 & -13.9765120096588 & 2.04286901309459 \tabularnewline
0.13 & -13.3569655612256 & 1.94109890114823 \tabularnewline
0.14 & -12.7916225593730 & 1.84601152568432 \tabularnewline
0.15 & -12.2732683460935 & 1.75192529846911 \tabularnewline
0.16 & -11.7972807279638 & 1.65597375732680 \tabularnewline
0.17 & -11.3600994127354 & 1.55916501960900 \tabularnewline
0.18 & -10.9580593921729 & 1.46708692776241 \tabularnewline
0.19 & -10.586646843134 & 1.3886261474514 \tabularnewline
0.2 & -10.2402893496575 & 1.33264685635142 \tabularnewline
0.21 & -9.9127111030448 & 1.30397700594763 \tabularnewline
0.22 & -9.59771065286653 & 1.30082681926908 \tabularnewline
0.23 & -9.29007088608432 & 1.31517033810568 \tabularnewline
0.24 & -8.98627675413654 & 1.33581889558327 \tabularnewline
0.25 & -8.6848086888178 & 1.35209594376106 \tabularnewline
0.26 & -8.38594698116297 & 1.35658688329254 \tabularnewline
0.27 & -8.09118920844045 & 1.34635131059253 \tabularnewline
0.28 & -7.80248896652057 & 1.32281671867398 \tabularnewline
0.29 & -7.52154514385627 & 1.29060706852090 \tabularnewline
0.3 & -7.24931752621314 & 1.25582780309992 \tabularnewline
0.31 & -6.98584947794835 & 1.22417452053501 \tabularnewline
0.32 & -6.7303798131482 & 1.19946178350923 \tabularnewline
0.33 & -6.48165341167175 & 1.18288625006883 \tabularnewline
0.34 & -6.23830809355023 & 1.17317230782854 \tabularnewline
0.35 & -5.99922278536931 & 1.1673190382934 \tabularnewline
0.36 & -5.76374727272393 & 1.16173469785895 \tabularnewline
0.37 & -5.5317805899515 & 1.15316040576006 \tabularnewline
0.38 & -5.30370851190289 & 1.13934255445603 \tabularnewline
0.39 & -5.0802408792733 & 1.11930419006488 \tabularnewline
0.4 & -4.86220289523523 & 1.09336182598337 \tabularnewline
0.41 & -4.6503324865365 & 1.06287146548052 \tabularnewline
0.42 & -4.44512288308273 & 1.02985589059306 \tabularnewline
0.43 & -4.24673138978088 & 0.996565726656207 \tabularnewline
0.44 & -4.05495709752204 & 0.965096758440943 \tabularnewline
0.45 & -3.86927583796318 & 0.937108106926306 \tabularnewline
0.46 & -3.68891215034234 & 0.913675325291713 \tabularnewline
0.47 & -3.51292585295507 & 0.895315532773525 \tabularnewline
0.48 & -3.3402940883572 & 0.88211359362068 \tabularnewline
0.49 & -3.16997663092625 & 0.87387608446523 \tabularnewline
0.5 & -3.0009606244074 & 0.87029686141446 \tabularnewline
0.51 & -2.83228866851149 & 0.8710334966413 \tabularnewline
0.52 & -2.66307962990443 & 0.875727391365947 \tabularnewline
0.53 & -2.49255361809950 & 0.88392189081204 \tabularnewline
0.54 & -2.32007076473869 & 0.894961320571668 \tabularnewline
0.55 & -2.14518796567101 & 0.90783536658255 \tabularnewline
0.56 & -1.96772953952776 & 0.921067089547079 \tabularnewline
0.57 & -1.78785861033679 & 0.932704784755298 \tabularnewline
0.58 & -1.60612845112725 & 0.940446440622058 \tabularnewline
0.59 & -1.423489832662 & 0.941955664011478 \tabularnewline
0.6 & -1.24123389466132 & 0.935276629931372 \tabularnewline
0.61 & -1.06086100959196 & 0.919300851709875 \tabularnewline
0.62 & -0.883883132715882 & 0.894161579070995 \tabularnewline
0.63 & -0.711586468560553 & 0.861444930793922 \tabularnewline
0.64 & -0.544797558136627 & 0.824143559246137 \tabularnewline
0.65 & -0.38370362142743 & 0.786316825459492 \tabularnewline
0.66 & -0.227773438435961 & 0.75245313333462 \tabularnewline
0.67 & -0.0758077454015093 & 0.726591643964711 \tabularnewline
0.68 & 0.0738786126195905 & 0.71137195363902 \tabularnewline
0.69 & 0.223170344857536 & 0.707299830954379 \tabularnewline
0.7 & 0.37381417378441 & 0.712564390650002 \tabularnewline
0.71 & 0.527097747609425 & 0.723502717027555 \tabularnewline
0.72 & 0.683613180504523 & 0.735502466388783 \tabularnewline
0.73 & 0.84315970861187 & 0.74399637061598 \tabularnewline
0.74 & 1.00481466456765 & 0.745338499518607 \tabularnewline
0.75 & 1.16716913579807 & 0.737469546327113 \tabularnewline
0.76 & 1.32868918513472 & 0.720339893520267 \tabularnewline
0.77 & 1.48813164466058 & 0.696028868613577 \tabularnewline
0.78 & 1.64492366327527 & 0.668503967300672 \tabularnewline
0.79 & 1.79941706493433 & 0.642914047625431 \tabularnewline
0.8 & 1.95295881066164 & 0.624431176718830 \tabularnewline
0.81 & 2.10777412077886 & 0.616852042039313 \tabularnewline
0.82 & 2.26672038155640 & 0.62163126809163 \tabularnewline
0.83 & 2.43300637061161 & 0.638008389927413 \tabularnewline
0.84 & 2.60995334373301 & 0.664210462926784 \tabularnewline
0.85 & 2.800798788322 & 0.69864150084061 \tabularnewline
0.86 & 3.00845123195576 & 0.739890629009003 \tabularnewline
0.87 & 3.23507464616782 & 0.785285754545245 \tabularnewline
0.88 & 3.48148732111642 & 0.829151167033061 \tabularnewline
0.89 & 3.74659948206404 & 0.86263859628058 \tabularnewline
0.9 & 4.02735562580746 & 0.87631540418258 \tabularnewline
0.91 & 4.31968977252446 & 0.865009062477334 \tabularnewline
0.92 & 4.62083454947257 & 0.83253832388212 \tabularnewline
0.93 & 4.93361711000516 & 0.79330218250812 \tabularnewline
0.94 & 5.27587184548427 & 0.770916648659723 \tabularnewline
0.95 & 5.70443829539184 & 0.810422074778522 \tabularnewline
0.96 & 6.36730528838277 & 1.04839077948246 \tabularnewline
0.97 & 7.56513109252584 & 1.80552366410404 \tabularnewline
0.98 & 9.66953126164695 & 3.44408152867439 \tabularnewline
0.99 & 12.5920580060299 & 5.87025405999966 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7317&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]-27.2159359314623[/C][C]1.86789939226467[/C][/ROW]
[ROW][C]0.02[/C][C]-25.951666102553[/C][C]2.13383133952496[/C][/ROW]
[ROW][C]0.03[/C][C]-24.4887788717429[/C][C]2.73469254374142[/C][/ROW]
[ROW][C]0.04[/C][C]-22.9381120838778[/C][C]3.2477824966169[/C][/ROW]
[ROW][C]0.05[/C][C]-21.3708708611363[/C][C]3.4473191918169[/C][/ROW]
[ROW][C]0.06[/C][C]-19.8726924509005[/C][C]3.3461644318065[/C][/ROW]
[ROW][C]0.07[/C][C]-18.5150864365135[/C][C]3.07560123865031[/C][/ROW]
[ROW][C]0.08[/C][C]-17.3296732915219[/C][C]2.77001934046812[/C][/ROW]
[ROW][C]0.09[/C][C]-16.3105546359731[/C][C]2.50780295014184[/C][/ROW]
[ROW][C]0.1[/C][C]-15.4314550521558[/C][C]2.30889118602366[/C][/ROW]
[ROW][C]0.11[/C][C]-14.6619572377160[/C][C]2.16049434823251[/C][/ROW]
[ROW][C]0.12[/C][C]-13.9765120096588[/C][C]2.04286901309459[/C][/ROW]
[ROW][C]0.13[/C][C]-13.3569655612256[/C][C]1.94109890114823[/C][/ROW]
[ROW][C]0.14[/C][C]-12.7916225593730[/C][C]1.84601152568432[/C][/ROW]
[ROW][C]0.15[/C][C]-12.2732683460935[/C][C]1.75192529846911[/C][/ROW]
[ROW][C]0.16[/C][C]-11.7972807279638[/C][C]1.65597375732680[/C][/ROW]
[ROW][C]0.17[/C][C]-11.3600994127354[/C][C]1.55916501960900[/C][/ROW]
[ROW][C]0.18[/C][C]-10.9580593921729[/C][C]1.46708692776241[/C][/ROW]
[ROW][C]0.19[/C][C]-10.586646843134[/C][C]1.3886261474514[/C][/ROW]
[ROW][C]0.2[/C][C]-10.2402893496575[/C][C]1.33264685635142[/C][/ROW]
[ROW][C]0.21[/C][C]-9.9127111030448[/C][C]1.30397700594763[/C][/ROW]
[ROW][C]0.22[/C][C]-9.59771065286653[/C][C]1.30082681926908[/C][/ROW]
[ROW][C]0.23[/C][C]-9.29007088608432[/C][C]1.31517033810568[/C][/ROW]
[ROW][C]0.24[/C][C]-8.98627675413654[/C][C]1.33581889558327[/C][/ROW]
[ROW][C]0.25[/C][C]-8.6848086888178[/C][C]1.35209594376106[/C][/ROW]
[ROW][C]0.26[/C][C]-8.38594698116297[/C][C]1.35658688329254[/C][/ROW]
[ROW][C]0.27[/C][C]-8.09118920844045[/C][C]1.34635131059253[/C][/ROW]
[ROW][C]0.28[/C][C]-7.80248896652057[/C][C]1.32281671867398[/C][/ROW]
[ROW][C]0.29[/C][C]-7.52154514385627[/C][C]1.29060706852090[/C][/ROW]
[ROW][C]0.3[/C][C]-7.24931752621314[/C][C]1.25582780309992[/C][/ROW]
[ROW][C]0.31[/C][C]-6.98584947794835[/C][C]1.22417452053501[/C][/ROW]
[ROW][C]0.32[/C][C]-6.7303798131482[/C][C]1.19946178350923[/C][/ROW]
[ROW][C]0.33[/C][C]-6.48165341167175[/C][C]1.18288625006883[/C][/ROW]
[ROW][C]0.34[/C][C]-6.23830809355023[/C][C]1.17317230782854[/C][/ROW]
[ROW][C]0.35[/C][C]-5.99922278536931[/C][C]1.1673190382934[/C][/ROW]
[ROW][C]0.36[/C][C]-5.76374727272393[/C][C]1.16173469785895[/C][/ROW]
[ROW][C]0.37[/C][C]-5.5317805899515[/C][C]1.15316040576006[/C][/ROW]
[ROW][C]0.38[/C][C]-5.30370851190289[/C][C]1.13934255445603[/C][/ROW]
[ROW][C]0.39[/C][C]-5.0802408792733[/C][C]1.11930419006488[/C][/ROW]
[ROW][C]0.4[/C][C]-4.86220289523523[/C][C]1.09336182598337[/C][/ROW]
[ROW][C]0.41[/C][C]-4.6503324865365[/C][C]1.06287146548052[/C][/ROW]
[ROW][C]0.42[/C][C]-4.44512288308273[/C][C]1.02985589059306[/C][/ROW]
[ROW][C]0.43[/C][C]-4.24673138978088[/C][C]0.996565726656207[/C][/ROW]
[ROW][C]0.44[/C][C]-4.05495709752204[/C][C]0.965096758440943[/C][/ROW]
[ROW][C]0.45[/C][C]-3.86927583796318[/C][C]0.937108106926306[/C][/ROW]
[ROW][C]0.46[/C][C]-3.68891215034234[/C][C]0.913675325291713[/C][/ROW]
[ROW][C]0.47[/C][C]-3.51292585295507[/C][C]0.895315532773525[/C][/ROW]
[ROW][C]0.48[/C][C]-3.3402940883572[/C][C]0.88211359362068[/C][/ROW]
[ROW][C]0.49[/C][C]-3.16997663092625[/C][C]0.87387608446523[/C][/ROW]
[ROW][C]0.5[/C][C]-3.0009606244074[/C][C]0.87029686141446[/C][/ROW]
[ROW][C]0.51[/C][C]-2.83228866851149[/C][C]0.8710334966413[/C][/ROW]
[ROW][C]0.52[/C][C]-2.66307962990443[/C][C]0.875727391365947[/C][/ROW]
[ROW][C]0.53[/C][C]-2.49255361809950[/C][C]0.88392189081204[/C][/ROW]
[ROW][C]0.54[/C][C]-2.32007076473869[/C][C]0.894961320571668[/C][/ROW]
[ROW][C]0.55[/C][C]-2.14518796567101[/C][C]0.90783536658255[/C][/ROW]
[ROW][C]0.56[/C][C]-1.96772953952776[/C][C]0.921067089547079[/C][/ROW]
[ROW][C]0.57[/C][C]-1.78785861033679[/C][C]0.932704784755298[/C][/ROW]
[ROW][C]0.58[/C][C]-1.60612845112725[/C][C]0.940446440622058[/C][/ROW]
[ROW][C]0.59[/C][C]-1.423489832662[/C][C]0.941955664011478[/C][/ROW]
[ROW][C]0.6[/C][C]-1.24123389466132[/C][C]0.935276629931372[/C][/ROW]
[ROW][C]0.61[/C][C]-1.06086100959196[/C][C]0.919300851709875[/C][/ROW]
[ROW][C]0.62[/C][C]-0.883883132715882[/C][C]0.894161579070995[/C][/ROW]
[ROW][C]0.63[/C][C]-0.711586468560553[/C][C]0.861444930793922[/C][/ROW]
[ROW][C]0.64[/C][C]-0.544797558136627[/C][C]0.824143559246137[/C][/ROW]
[ROW][C]0.65[/C][C]-0.38370362142743[/C][C]0.786316825459492[/C][/ROW]
[ROW][C]0.66[/C][C]-0.227773438435961[/C][C]0.75245313333462[/C][/ROW]
[ROW][C]0.67[/C][C]-0.0758077454015093[/C][C]0.726591643964711[/C][/ROW]
[ROW][C]0.68[/C][C]0.0738786126195905[/C][C]0.71137195363902[/C][/ROW]
[ROW][C]0.69[/C][C]0.223170344857536[/C][C]0.707299830954379[/C][/ROW]
[ROW][C]0.7[/C][C]0.37381417378441[/C][C]0.712564390650002[/C][/ROW]
[ROW][C]0.71[/C][C]0.527097747609425[/C][C]0.723502717027555[/C][/ROW]
[ROW][C]0.72[/C][C]0.683613180504523[/C][C]0.735502466388783[/C][/ROW]
[ROW][C]0.73[/C][C]0.84315970861187[/C][C]0.74399637061598[/C][/ROW]
[ROW][C]0.74[/C][C]1.00481466456765[/C][C]0.745338499518607[/C][/ROW]
[ROW][C]0.75[/C][C]1.16716913579807[/C][C]0.737469546327113[/C][/ROW]
[ROW][C]0.76[/C][C]1.32868918513472[/C][C]0.720339893520267[/C][/ROW]
[ROW][C]0.77[/C][C]1.48813164466058[/C][C]0.696028868613577[/C][/ROW]
[ROW][C]0.78[/C][C]1.64492366327527[/C][C]0.668503967300672[/C][/ROW]
[ROW][C]0.79[/C][C]1.79941706493433[/C][C]0.642914047625431[/C][/ROW]
[ROW][C]0.8[/C][C]1.95295881066164[/C][C]0.624431176718830[/C][/ROW]
[ROW][C]0.81[/C][C]2.10777412077886[/C][C]0.616852042039313[/C][/ROW]
[ROW][C]0.82[/C][C]2.26672038155640[/C][C]0.62163126809163[/C][/ROW]
[ROW][C]0.83[/C][C]2.43300637061161[/C][C]0.638008389927413[/C][/ROW]
[ROW][C]0.84[/C][C]2.60995334373301[/C][C]0.664210462926784[/C][/ROW]
[ROW][C]0.85[/C][C]2.800798788322[/C][C]0.69864150084061[/C][/ROW]
[ROW][C]0.86[/C][C]3.00845123195576[/C][C]0.739890629009003[/C][/ROW]
[ROW][C]0.87[/C][C]3.23507464616782[/C][C]0.785285754545245[/C][/ROW]
[ROW][C]0.88[/C][C]3.48148732111642[/C][C]0.829151167033061[/C][/ROW]
[ROW][C]0.89[/C][C]3.74659948206404[/C][C]0.86263859628058[/C][/ROW]
[ROW][C]0.9[/C][C]4.02735562580746[/C][C]0.87631540418258[/C][/ROW]
[ROW][C]0.91[/C][C]4.31968977252446[/C][C]0.865009062477334[/C][/ROW]
[ROW][C]0.92[/C][C]4.62083454947257[/C][C]0.83253832388212[/C][/ROW]
[ROW][C]0.93[/C][C]4.93361711000516[/C][C]0.79330218250812[/C][/ROW]
[ROW][C]0.94[/C][C]5.27587184548427[/C][C]0.770916648659723[/C][/ROW]
[ROW][C]0.95[/C][C]5.70443829539184[/C][C]0.810422074778522[/C][/ROW]
[ROW][C]0.96[/C][C]6.36730528838277[/C][C]1.04839077948246[/C][/ROW]
[ROW][C]0.97[/C][C]7.56513109252584[/C][C]1.80552366410404[/C][/ROW]
[ROW][C]0.98[/C][C]9.66953126164695[/C][C]3.44408152867439[/C][/ROW]
[ROW][C]0.99[/C][C]12.5920580060299[/C][C]5.87025405999966[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7317&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7317&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
0.01-27.21593593146231.86789939226467
0.02-25.9516661025532.13383133952496
0.03-24.48877887174292.73469254374142
0.04-22.93811208387783.2477824966169
0.05-21.37087086113633.4473191918169
0.06-19.87269245090053.3461644318065
0.07-18.51508643651353.07560123865031
0.08-17.32967329152192.77001934046812
0.09-16.31055463597312.50780295014184
0.1-15.43145505215582.30889118602366
0.11-14.66195723771602.16049434823251
0.12-13.97651200965882.04286901309459
0.13-13.35696556122561.94109890114823
0.14-12.79162255937301.84601152568432
0.15-12.27326834609351.75192529846911
0.16-11.79728072796381.65597375732680
0.17-11.36009941273541.55916501960900
0.18-10.95805939217291.46708692776241
0.19-10.5866468431341.3886261474514
0.2-10.24028934965751.33264685635142
0.21-9.91271110304481.30397700594763
0.22-9.597710652866531.30082681926908
0.23-9.290070886084321.31517033810568
0.24-8.986276754136541.33581889558327
0.25-8.68480868881781.35209594376106
0.26-8.385946981162971.35658688329254
0.27-8.091189208440451.34635131059253
0.28-7.802488966520571.32281671867398
0.29-7.521545143856271.29060706852090
0.3-7.249317526213141.25582780309992
0.31-6.985849477948351.22417452053501
0.32-6.73037981314821.19946178350923
0.33-6.481653411671751.18288625006883
0.34-6.238308093550231.17317230782854
0.35-5.999222785369311.1673190382934
0.36-5.763747272723931.16173469785895
0.37-5.53178058995151.15316040576006
0.38-5.303708511902891.13934255445603
0.39-5.08024087927331.11930419006488
0.4-4.862202895235231.09336182598337
0.41-4.65033248653651.06287146548052
0.42-4.445122883082731.02985589059306
0.43-4.246731389780880.996565726656207
0.44-4.054957097522040.965096758440943
0.45-3.869275837963180.937108106926306
0.46-3.688912150342340.913675325291713
0.47-3.512925852955070.895315532773525
0.48-3.34029408835720.88211359362068
0.49-3.169976630926250.87387608446523
0.5-3.00096062440740.87029686141446
0.51-2.832288668511490.8710334966413
0.52-2.663079629904430.875727391365947
0.53-2.492553618099500.88392189081204
0.54-2.320070764738690.894961320571668
0.55-2.145187965671010.90783536658255
0.56-1.967729539527760.921067089547079
0.57-1.787858610336790.932704784755298
0.58-1.606128451127250.940446440622058
0.59-1.4234898326620.941955664011478
0.6-1.241233894661320.935276629931372
0.61-1.060861009591960.919300851709875
0.62-0.8838831327158820.894161579070995
0.63-0.7115864685605530.861444930793922
0.64-0.5447975581366270.824143559246137
0.65-0.383703621427430.786316825459492
0.66-0.2277734384359610.75245313333462
0.67-0.07580774540150930.726591643964711
0.680.07387861261959050.71137195363902
0.690.2231703448575360.707299830954379
0.70.373814173784410.712564390650002
0.710.5270977476094250.723502717027555
0.720.6836131805045230.735502466388783
0.730.843159708611870.74399637061598
0.741.004814664567650.745338499518607
0.751.167169135798070.737469546327113
0.761.328689185134720.720339893520267
0.771.488131644660580.696028868613577
0.781.644923663275270.668503967300672
0.791.799417064934330.642914047625431
0.81.952958810661640.624431176718830
0.812.107774120778860.616852042039313
0.822.266720381556400.62163126809163
0.832.433006370611610.638008389927413
0.842.609953343733010.664210462926784
0.852.8007987883220.69864150084061
0.863.008451231955760.739890629009003
0.873.235074646167820.785285754545245
0.883.481487321116420.829151167033061
0.893.746599482064040.86263859628058
0.94.027355625807460.87631540418258
0.914.319689772524460.865009062477334
0.924.620834549472570.83253832388212
0.934.933617110005160.79330218250812
0.945.275871845484270.770916648659723
0.955.704438295391840.810422074778522
0.966.367305288382771.04839077948246
0.977.565131092525841.80552366410404
0.989.669531261646953.44408152867439
0.9912.59205800602995.87025405999966


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')