FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 10 Oct 2011 18:42:32 -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/2011/Oct/10/t1318286638tn0yo7kqs88ul5r.htm/, Retrieved Wed, 15 May 2024 02:10:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=127736, Retrieved Wed, 15 May 2024 02:10:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact115

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] [Gemiddelde consum...] [2011-10-10 22:42:32] [4f7490933b61503ca9688d4f22e6aac7] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14.92
14.95
14.97
15.05
15.06
15.07
15.07
15.08
15.09
15.09
15.09
15.12
15.13
15.15
15.15
15.16
15.17
15.17
15.18
15.18
15.19
15.19
15.2
15.21
15.24
15.31
15.45
15.46
15.65
15.67
15.68
15.73
15.74
15.79
15.8
15.81
15.82
15.84
15.84
15.85
15.86
15.87
15.87
15.88
15.88
15.88
15.88
15.9
15.91
15.92
15.94
15.96
15.96
15.97
15.97
16
16.02
16.05
16.07
16.08
16.08
16.08
16.11
16.12
16.12
16.14
16.14
16.14
16.15
16.15
16.18
16.18
16.19
16.25

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127736&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127736&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127736&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0114.93164577722320.0311878631267333
0.0214.95141417300880.0385070629544613
0.0314.97482975698250.0462376183519013
0.0414.9984791776660.0481120193593032
0.0515.02000487134960.0435861076776459
0.0615.03802517468010.0357395476348257
0.0715.05221636633630.0280200230581234
0.0815.06311009666080.0225547399429934
0.0915.07165735417640.0199016216682517
0.115.07882917276760.0196060886236602
0.1115.08539634744660.0208290313294211
0.1215.0918710135090.0228696196049012
0.1315.09853450694920.0251503664687269
0.1415.1054913647770.0272755999418275
0.1515.11272243654370.0289209091503724
0.1615.12013178173380.0299152004906478
0.1715.12758901495890.0302471180707591
0.1815.13496786210850.0300018044035578
0.1915.14217943792550.0294548207369583
0.215.14919810786460.0289764897661015
0.2115.15607877625260.0289912367129016
0.2215.16296584430590.0300240467786045
0.2315.17009483668980.0325754834721185
0.2415.17778747051760.0371178981058331
0.2515.18644009656380.0440506582914587
0.2615.19650466702520.0535572725507007
0.2715.20846129355120.0656772832796216
0.2815.22278233584190.0802261395308971
0.2915.23988967468540.0968327231573653
0.315.26010890390950.114809315097589
0.3115.28362597974750.133309195697068
0.3215.31045277684960.151325916487316
0.3315.34040761151740.167763445867067
0.3415.37311503228950.181627240614683
0.3515.40802633871130.192059687936264
0.3615.44445895938820.198452962322966
0.3715.48164973045730.200545214735869
0.3815.51881494342460.198378044931726
0.3915.55520922531890.192338898537208
0.415.59017598457250.183025663773623
0.4115.62318406489630.171210965121505
0.4215.65384789635990.157730932185475
0.4315.68193120531410.143367966428874
0.4415.70733668236270.128878735272606
0.4515.73008553187610.114789245336056
0.4615.75029140323580.101567024628706
0.4715.76813292966680.0894481842061558
0.4815.78382823073010.078583139162276
0.4915.797613584950.0689929975388453
0.515.80972733371920.0606751256853966
0.5115.82039912952240.0535332149771546
0.5215.82984397485560.047466568842423
0.5315.83826010683950.0423958482165544
0.5415.84582960873140.0382273281438702
0.5515.85272060508450.034893475911909
0.5615.85908997220810.0323565774505454
0.5715.86508564815270.0305832636153696
0.5815.87084785567030.0295475643865604
0.5915.8765088590190.0292275737297594
0.615.88219124569150.0295544103186799
0.6115.88800511264720.0304490536053489
0.6215.8940448702630.0317932580774936
0.6315.90038656852160.0334527284618475
0.6415.90708662231320.0353054803678656
0.6515.91418252977850.0372327288269544
0.6615.92169566802650.039127956195089
0.6715.92963561869650.040954693237094
0.6815.93800489077350.0427144965611426
0.6915.946802567610.0443945951173502
0.715.95602547871230.0460216472833656
0.7115.96566605998270.0475954471123691
0.7215.97570704651870.0490791443348558
0.7315.9861143021240.0503568067983474
0.7415.99683006452930.0513055175312606
0.7516.00776928194330.0517581105165593
0.7616.01882125553060.051560736743882
0.7716.02985745840360.0506496214894305
0.7816.04074448259390.0490105567251206
0.7916.05135917510910.046761714887101
0.816.06160188878620.0440699535398267
0.8116.07140396994440.041146215499711
0.8216.08072728914110.0381887129340003
0.8316.08955638620750.0353045656243128
0.8416.0978867514740.0325395367383876
0.8516.1057148104290.0298395008214895
0.8616.11303541256570.0271520674935414
0.8716.11985061285460.0244494390285994
0.8816.12618939281360.0217996489629212
0.8916.13213233245270.0194007738958813
0.916.13782948206640.017532183369055
0.9116.14349675259890.0164905725835669
0.9216.14938189990220.0164022597070301
0.9316.15571432711870.0169721528559662
0.9416.1626989404250.017566868483463
0.9516.17066367481620.0177155817300164
0.9616.18042874284630.0180250721021951
0.9716.19361712160170.0213394804762223
0.9816.21184116809260.0311924846879912
0.9916.23345320775860.0464528555288889

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 14.9316457772232 & 0.0311878631267333 \tabularnewline
0.02 & 14.9514141730088 & 0.0385070629544613 \tabularnewline
0.03 & 14.9748297569825 & 0.0462376183519013 \tabularnewline
0.04 & 14.998479177666 & 0.0481120193593032 \tabularnewline
0.05 & 15.0200048713496 & 0.0435861076776459 \tabularnewline
0.06 & 15.0380251746801 & 0.0357395476348257 \tabularnewline
0.07 & 15.0522163663363 & 0.0280200230581234 \tabularnewline
0.08 & 15.0631100966608 & 0.0225547399429934 \tabularnewline
0.09 & 15.0716573541764 & 0.0199016216682517 \tabularnewline
0.1 & 15.0788291727676 & 0.0196060886236602 \tabularnewline
0.11 & 15.0853963474466 & 0.0208290313294211 \tabularnewline
0.12 & 15.091871013509 & 0.0228696196049012 \tabularnewline
0.13 & 15.0985345069492 & 0.0251503664687269 \tabularnewline
0.14 & 15.105491364777 & 0.0272755999418275 \tabularnewline
0.15 & 15.1127224365437 & 0.0289209091503724 \tabularnewline
0.16 & 15.1201317817338 & 0.0299152004906478 \tabularnewline
0.17 & 15.1275890149589 & 0.0302471180707591 \tabularnewline
0.18 & 15.1349678621085 & 0.0300018044035578 \tabularnewline
0.19 & 15.1421794379255 & 0.0294548207369583 \tabularnewline
0.2 & 15.1491981078646 & 0.0289764897661015 \tabularnewline
0.21 & 15.1560787762526 & 0.0289912367129016 \tabularnewline
0.22 & 15.1629658443059 & 0.0300240467786045 \tabularnewline
0.23 & 15.1700948366898 & 0.0325754834721185 \tabularnewline
0.24 & 15.1777874705176 & 0.0371178981058331 \tabularnewline
0.25 & 15.1864400965638 & 0.0440506582914587 \tabularnewline
0.26 & 15.1965046670252 & 0.0535572725507007 \tabularnewline
0.27 & 15.2084612935512 & 0.0656772832796216 \tabularnewline
0.28 & 15.2227823358419 & 0.0802261395308971 \tabularnewline
0.29 & 15.2398896746854 & 0.0968327231573653 \tabularnewline
0.3 & 15.2601089039095 & 0.114809315097589 \tabularnewline
0.31 & 15.2836259797475 & 0.133309195697068 \tabularnewline
0.32 & 15.3104527768496 & 0.151325916487316 \tabularnewline
0.33 & 15.3404076115174 & 0.167763445867067 \tabularnewline
0.34 & 15.3731150322895 & 0.181627240614683 \tabularnewline
0.35 & 15.4080263387113 & 0.192059687936264 \tabularnewline
0.36 & 15.4444589593882 & 0.198452962322966 \tabularnewline
0.37 & 15.4816497304573 & 0.200545214735869 \tabularnewline
0.38 & 15.5188149434246 & 0.198378044931726 \tabularnewline
0.39 & 15.5552092253189 & 0.192338898537208 \tabularnewline
0.4 & 15.5901759845725 & 0.183025663773623 \tabularnewline
0.41 & 15.6231840648963 & 0.171210965121505 \tabularnewline
0.42 & 15.6538478963599 & 0.157730932185475 \tabularnewline
0.43 & 15.6819312053141 & 0.143367966428874 \tabularnewline
0.44 & 15.7073366823627 & 0.128878735272606 \tabularnewline
0.45 & 15.7300855318761 & 0.114789245336056 \tabularnewline
0.46 & 15.7502914032358 & 0.101567024628706 \tabularnewline
0.47 & 15.7681329296668 & 0.0894481842061558 \tabularnewline
0.48 & 15.7838282307301 & 0.078583139162276 \tabularnewline
0.49 & 15.79761358495 & 0.0689929975388453 \tabularnewline
0.5 & 15.8097273337192 & 0.0606751256853966 \tabularnewline
0.51 & 15.8203991295224 & 0.0535332149771546 \tabularnewline
0.52 & 15.8298439748556 & 0.047466568842423 \tabularnewline
0.53 & 15.8382601068395 & 0.0423958482165544 \tabularnewline
0.54 & 15.8458296087314 & 0.0382273281438702 \tabularnewline
0.55 & 15.8527206050845 & 0.034893475911909 \tabularnewline
0.56 & 15.8590899722081 & 0.0323565774505454 \tabularnewline
0.57 & 15.8650856481527 & 0.0305832636153696 \tabularnewline
0.58 & 15.8708478556703 & 0.0295475643865604 \tabularnewline
0.59 & 15.876508859019 & 0.0292275737297594 \tabularnewline
0.6 & 15.8821912456915 & 0.0295544103186799 \tabularnewline
0.61 & 15.8880051126472 & 0.0304490536053489 \tabularnewline
0.62 & 15.894044870263 & 0.0317932580774936 \tabularnewline
0.63 & 15.9003865685216 & 0.0334527284618475 \tabularnewline
0.64 & 15.9070866223132 & 0.0353054803678656 \tabularnewline
0.65 & 15.9141825297785 & 0.0372327288269544 \tabularnewline
0.66 & 15.9216956680265 & 0.039127956195089 \tabularnewline
0.67 & 15.9296356186965 & 0.040954693237094 \tabularnewline
0.68 & 15.9380048907735 & 0.0427144965611426 \tabularnewline
0.69 & 15.94680256761 & 0.0443945951173502 \tabularnewline
0.7 & 15.9560254787123 & 0.0460216472833656 \tabularnewline
0.71 & 15.9656660599827 & 0.0475954471123691 \tabularnewline
0.72 & 15.9757070465187 & 0.0490791443348558 \tabularnewline
0.73 & 15.986114302124 & 0.0503568067983474 \tabularnewline
0.74 & 15.9968300645293 & 0.0513055175312606 \tabularnewline
0.75 & 16.0077692819433 & 0.0517581105165593 \tabularnewline
0.76 & 16.0188212555306 & 0.051560736743882 \tabularnewline
0.77 & 16.0298574584036 & 0.0506496214894305 \tabularnewline
0.78 & 16.0407444825939 & 0.0490105567251206 \tabularnewline
0.79 & 16.0513591751091 & 0.046761714887101 \tabularnewline
0.8 & 16.0616018887862 & 0.0440699535398267 \tabularnewline
0.81 & 16.0714039699444 & 0.041146215499711 \tabularnewline
0.82 & 16.0807272891411 & 0.0381887129340003 \tabularnewline
0.83 & 16.0895563862075 & 0.0353045656243128 \tabularnewline
0.84 & 16.097886751474 & 0.0325395367383876 \tabularnewline
0.85 & 16.105714810429 & 0.0298395008214895 \tabularnewline
0.86 & 16.1130354125657 & 0.0271520674935414 \tabularnewline
0.87 & 16.1198506128546 & 0.0244494390285994 \tabularnewline
0.88 & 16.1261893928136 & 0.0217996489629212 \tabularnewline
0.89 & 16.1321323324527 & 0.0194007738958813 \tabularnewline
0.9 & 16.1378294820664 & 0.017532183369055 \tabularnewline
0.91 & 16.1434967525989 & 0.0164905725835669 \tabularnewline
0.92 & 16.1493818999022 & 0.0164022597070301 \tabularnewline
0.93 & 16.1557143271187 & 0.0169721528559662 \tabularnewline
0.94 & 16.162698940425 & 0.017566868483463 \tabularnewline
0.95 & 16.1706636748162 & 0.0177155817300164 \tabularnewline
0.96 & 16.1804287428463 & 0.0180250721021951 \tabularnewline
0.97 & 16.1936171216017 & 0.0213394804762223 \tabularnewline
0.98 & 16.2118411680926 & 0.0311924846879912 \tabularnewline
0.99 & 16.2334532077586 & 0.0464528555288889 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127736&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]14.9316457772232[/C][C]0.0311878631267333[/C][/ROW]
[ROW][C]0.02[/C][C]14.9514141730088[/C][C]0.0385070629544613[/C][/ROW]
[ROW][C]0.03[/C][C]14.9748297569825[/C][C]0.0462376183519013[/C][/ROW]
[ROW][C]0.04[/C][C]14.998479177666[/C][C]0.0481120193593032[/C][/ROW]
[ROW][C]0.05[/C][C]15.0200048713496[/C][C]0.0435861076776459[/C][/ROW]
[ROW][C]0.06[/C][C]15.0380251746801[/C][C]0.0357395476348257[/C][/ROW]
[ROW][C]0.07[/C][C]15.0522163663363[/C][C]0.0280200230581234[/C][/ROW]
[ROW][C]0.08[/C][C]15.0631100966608[/C][C]0.0225547399429934[/C][/ROW]
[ROW][C]0.09[/C][C]15.0716573541764[/C][C]0.0199016216682517[/C][/ROW]
[ROW][C]0.1[/C][C]15.0788291727676[/C][C]0.0196060886236602[/C][/ROW]
[ROW][C]0.11[/C][C]15.0853963474466[/C][C]0.0208290313294211[/C][/ROW]
[ROW][C]0.12[/C][C]15.091871013509[/C][C]0.0228696196049012[/C][/ROW]
[ROW][C]0.13[/C][C]15.0985345069492[/C][C]0.0251503664687269[/C][/ROW]
[ROW][C]0.14[/C][C]15.105491364777[/C][C]0.0272755999418275[/C][/ROW]
[ROW][C]0.15[/C][C]15.1127224365437[/C][C]0.0289209091503724[/C][/ROW]
[ROW][C]0.16[/C][C]15.1201317817338[/C][C]0.0299152004906478[/C][/ROW]
[ROW][C]0.17[/C][C]15.1275890149589[/C][C]0.0302471180707591[/C][/ROW]
[ROW][C]0.18[/C][C]15.1349678621085[/C][C]0.0300018044035578[/C][/ROW]
[ROW][C]0.19[/C][C]15.1421794379255[/C][C]0.0294548207369583[/C][/ROW]
[ROW][C]0.2[/C][C]15.1491981078646[/C][C]0.0289764897661015[/C][/ROW]
[ROW][C]0.21[/C][C]15.1560787762526[/C][C]0.0289912367129016[/C][/ROW]
[ROW][C]0.22[/C][C]15.1629658443059[/C][C]0.0300240467786045[/C][/ROW]
[ROW][C]0.23[/C][C]15.1700948366898[/C][C]0.0325754834721185[/C][/ROW]
[ROW][C]0.24[/C][C]15.1777874705176[/C][C]0.0371178981058331[/C][/ROW]
[ROW][C]0.25[/C][C]15.1864400965638[/C][C]0.0440506582914587[/C][/ROW]
[ROW][C]0.26[/C][C]15.1965046670252[/C][C]0.0535572725507007[/C][/ROW]
[ROW][C]0.27[/C][C]15.2084612935512[/C][C]0.0656772832796216[/C][/ROW]
[ROW][C]0.28[/C][C]15.2227823358419[/C][C]0.0802261395308971[/C][/ROW]
[ROW][C]0.29[/C][C]15.2398896746854[/C][C]0.0968327231573653[/C][/ROW]
[ROW][C]0.3[/C][C]15.2601089039095[/C][C]0.114809315097589[/C][/ROW]
[ROW][C]0.31[/C][C]15.2836259797475[/C][C]0.133309195697068[/C][/ROW]
[ROW][C]0.32[/C][C]15.3104527768496[/C][C]0.151325916487316[/C][/ROW]
[ROW][C]0.33[/C][C]15.3404076115174[/C][C]0.167763445867067[/C][/ROW]
[ROW][C]0.34[/C][C]15.3731150322895[/C][C]0.181627240614683[/C][/ROW]
[ROW][C]0.35[/C][C]15.4080263387113[/C][C]0.192059687936264[/C][/ROW]
[ROW][C]0.36[/C][C]15.4444589593882[/C][C]0.198452962322966[/C][/ROW]
[ROW][C]0.37[/C][C]15.4816497304573[/C][C]0.200545214735869[/C][/ROW]
[ROW][C]0.38[/C][C]15.5188149434246[/C][C]0.198378044931726[/C][/ROW]
[ROW][C]0.39[/C][C]15.5552092253189[/C][C]0.192338898537208[/C][/ROW]
[ROW][C]0.4[/C][C]15.5901759845725[/C][C]0.183025663773623[/C][/ROW]
[ROW][C]0.41[/C][C]15.6231840648963[/C][C]0.171210965121505[/C][/ROW]
[ROW][C]0.42[/C][C]15.6538478963599[/C][C]0.157730932185475[/C][/ROW]
[ROW][C]0.43[/C][C]15.6819312053141[/C][C]0.143367966428874[/C][/ROW]
[ROW][C]0.44[/C][C]15.7073366823627[/C][C]0.128878735272606[/C][/ROW]
[ROW][C]0.45[/C][C]15.7300855318761[/C][C]0.114789245336056[/C][/ROW]
[ROW][C]0.46[/C][C]15.7502914032358[/C][C]0.101567024628706[/C][/ROW]
[ROW][C]0.47[/C][C]15.7681329296668[/C][C]0.0894481842061558[/C][/ROW]
[ROW][C]0.48[/C][C]15.7838282307301[/C][C]0.078583139162276[/C][/ROW]
[ROW][C]0.49[/C][C]15.79761358495[/C][C]0.0689929975388453[/C][/ROW]
[ROW][C]0.5[/C][C]15.8097273337192[/C][C]0.0606751256853966[/C][/ROW]
[ROW][C]0.51[/C][C]15.8203991295224[/C][C]0.0535332149771546[/C][/ROW]
[ROW][C]0.52[/C][C]15.8298439748556[/C][C]0.047466568842423[/C][/ROW]
[ROW][C]0.53[/C][C]15.8382601068395[/C][C]0.0423958482165544[/C][/ROW]
[ROW][C]0.54[/C][C]15.8458296087314[/C][C]0.0382273281438702[/C][/ROW]
[ROW][C]0.55[/C][C]15.8527206050845[/C][C]0.034893475911909[/C][/ROW]
[ROW][C]0.56[/C][C]15.8590899722081[/C][C]0.0323565774505454[/C][/ROW]
[ROW][C]0.57[/C][C]15.8650856481527[/C][C]0.0305832636153696[/C][/ROW]
[ROW][C]0.58[/C][C]15.8708478556703[/C][C]0.0295475643865604[/C][/ROW]
[ROW][C]0.59[/C][C]15.876508859019[/C][C]0.0292275737297594[/C][/ROW]
[ROW][C]0.6[/C][C]15.8821912456915[/C][C]0.0295544103186799[/C][/ROW]
[ROW][C]0.61[/C][C]15.8880051126472[/C][C]0.0304490536053489[/C][/ROW]
[ROW][C]0.62[/C][C]15.894044870263[/C][C]0.0317932580774936[/C][/ROW]
[ROW][C]0.63[/C][C]15.9003865685216[/C][C]0.0334527284618475[/C][/ROW]
[ROW][C]0.64[/C][C]15.9070866223132[/C][C]0.0353054803678656[/C][/ROW]
[ROW][C]0.65[/C][C]15.9141825297785[/C][C]0.0372327288269544[/C][/ROW]
[ROW][C]0.66[/C][C]15.9216956680265[/C][C]0.039127956195089[/C][/ROW]
[ROW][C]0.67[/C][C]15.9296356186965[/C][C]0.040954693237094[/C][/ROW]
[ROW][C]0.68[/C][C]15.9380048907735[/C][C]0.0427144965611426[/C][/ROW]
[ROW][C]0.69[/C][C]15.94680256761[/C][C]0.0443945951173502[/C][/ROW]
[ROW][C]0.7[/C][C]15.9560254787123[/C][C]0.0460216472833656[/C][/ROW]
[ROW][C]0.71[/C][C]15.9656660599827[/C][C]0.0475954471123691[/C][/ROW]
[ROW][C]0.72[/C][C]15.9757070465187[/C][C]0.0490791443348558[/C][/ROW]
[ROW][C]0.73[/C][C]15.986114302124[/C][C]0.0503568067983474[/C][/ROW]
[ROW][C]0.74[/C][C]15.9968300645293[/C][C]0.0513055175312606[/C][/ROW]
[ROW][C]0.75[/C][C]16.0077692819433[/C][C]0.0517581105165593[/C][/ROW]
[ROW][C]0.76[/C][C]16.0188212555306[/C][C]0.051560736743882[/C][/ROW]
[ROW][C]0.77[/C][C]16.0298574584036[/C][C]0.0506496214894305[/C][/ROW]
[ROW][C]0.78[/C][C]16.0407444825939[/C][C]0.0490105567251206[/C][/ROW]
[ROW][C]0.79[/C][C]16.0513591751091[/C][C]0.046761714887101[/C][/ROW]
[ROW][C]0.8[/C][C]16.0616018887862[/C][C]0.0440699535398267[/C][/ROW]
[ROW][C]0.81[/C][C]16.0714039699444[/C][C]0.041146215499711[/C][/ROW]
[ROW][C]0.82[/C][C]16.0807272891411[/C][C]0.0381887129340003[/C][/ROW]
[ROW][C]0.83[/C][C]16.0895563862075[/C][C]0.0353045656243128[/C][/ROW]
[ROW][C]0.84[/C][C]16.097886751474[/C][C]0.0325395367383876[/C][/ROW]
[ROW][C]0.85[/C][C]16.105714810429[/C][C]0.0298395008214895[/C][/ROW]
[ROW][C]0.86[/C][C]16.1130354125657[/C][C]0.0271520674935414[/C][/ROW]
[ROW][C]0.87[/C][C]16.1198506128546[/C][C]0.0244494390285994[/C][/ROW]
[ROW][C]0.88[/C][C]16.1261893928136[/C][C]0.0217996489629212[/C][/ROW]
[ROW][C]0.89[/C][C]16.1321323324527[/C][C]0.0194007738958813[/C][/ROW]
[ROW][C]0.9[/C][C]16.1378294820664[/C][C]0.017532183369055[/C][/ROW]
[ROW][C]0.91[/C][C]16.1434967525989[/C][C]0.0164905725835669[/C][/ROW]
[ROW][C]0.92[/C][C]16.1493818999022[/C][C]0.0164022597070301[/C][/ROW]
[ROW][C]0.93[/C][C]16.1557143271187[/C][C]0.0169721528559662[/C][/ROW]
[ROW][C]0.94[/C][C]16.162698940425[/C][C]0.017566868483463[/C][/ROW]
[ROW][C]0.95[/C][C]16.1706636748162[/C][C]0.0177155817300164[/C][/ROW]
[ROW][C]0.96[/C][C]16.1804287428463[/C][C]0.0180250721021951[/C][/ROW]
[ROW][C]0.97[/C][C]16.1936171216017[/C][C]0.0213394804762223[/C][/ROW]
[ROW][C]0.98[/C][C]16.2118411680926[/C][C]0.0311924846879912[/C][/ROW]
[ROW][C]0.99[/C][C]16.2334532077586[/C][C]0.0464528555288889[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127736&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127736&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
0.0114.93164577722320.0311878631267333
0.0214.95141417300880.0385070629544613
0.0314.97482975698250.0462376183519013
0.0414.9984791776660.0481120193593032
0.0515.02000487134960.0435861076776459
0.0615.03802517468010.0357395476348257
0.0715.05221636633630.0280200230581234
0.0815.06311009666080.0225547399429934
0.0915.07165735417640.0199016216682517
0.115.07882917276760.0196060886236602
0.1115.08539634744660.0208290313294211
0.1215.0918710135090.0228696196049012
0.1315.09853450694920.0251503664687269
0.1415.1054913647770.0272755999418275
0.1515.11272243654370.0289209091503724
0.1615.12013178173380.0299152004906478
0.1715.12758901495890.0302471180707591
0.1815.13496786210850.0300018044035578
0.1915.14217943792550.0294548207369583
0.215.14919810786460.0289764897661015
0.2115.15607877625260.0289912367129016
0.2215.16296584430590.0300240467786045
0.2315.17009483668980.0325754834721185
0.2415.17778747051760.0371178981058331
0.2515.18644009656380.0440506582914587
0.2615.19650466702520.0535572725507007
0.2715.20846129355120.0656772832796216
0.2815.22278233584190.0802261395308971
0.2915.23988967468540.0968327231573653
0.315.26010890390950.114809315097589
0.3115.28362597974750.133309195697068
0.3215.31045277684960.151325916487316
0.3315.34040761151740.167763445867067
0.3415.37311503228950.181627240614683
0.3515.40802633871130.192059687936264
0.3615.44445895938820.198452962322966
0.3715.48164973045730.200545214735869
0.3815.51881494342460.198378044931726
0.3915.55520922531890.192338898537208
0.415.59017598457250.183025663773623
0.4115.62318406489630.171210965121505
0.4215.65384789635990.157730932185475
0.4315.68193120531410.143367966428874
0.4415.70733668236270.128878735272606
0.4515.73008553187610.114789245336056
0.4615.75029140323580.101567024628706
0.4715.76813292966680.0894481842061558
0.4815.78382823073010.078583139162276
0.4915.797613584950.0689929975388453
0.515.80972733371920.0606751256853966
0.5115.82039912952240.0535332149771546
0.5215.82984397485560.047466568842423
0.5315.83826010683950.0423958482165544
0.5415.84582960873140.0382273281438702
0.5515.85272060508450.034893475911909
0.5615.85908997220810.0323565774505454
0.5715.86508564815270.0305832636153696
0.5815.87084785567030.0295475643865604
0.5915.8765088590190.0292275737297594
0.615.88219124569150.0295544103186799
0.6115.88800511264720.0304490536053489
0.6215.8940448702630.0317932580774936
0.6315.90038656852160.0334527284618475
0.6415.90708662231320.0353054803678656
0.6515.91418252977850.0372327288269544
0.6615.92169566802650.039127956195089
0.6715.92963561869650.040954693237094
0.6815.93800489077350.0427144965611426
0.6915.946802567610.0443945951173502
0.715.95602547871230.0460216472833656
0.7115.96566605998270.0475954471123691
0.7215.97570704651870.0490791443348558
0.7315.9861143021240.0503568067983474
0.7415.99683006452930.0513055175312606
0.7516.00776928194330.0517581105165593
0.7616.01882125553060.051560736743882
0.7716.02985745840360.0506496214894305
0.7816.04074448259390.0490105567251206
0.7916.05135917510910.046761714887101
0.816.06160188878620.0440699535398267
0.8116.07140396994440.041146215499711
0.8216.08072728914110.0381887129340003
0.8316.08955638620750.0353045656243128
0.8416.0978867514740.0325395367383876
0.8516.1057148104290.0298395008214895
0.8616.11303541256570.0271520674935414
0.8716.11985061285460.0244494390285994
0.8816.12618939281360.0217996489629212
0.8916.13213233245270.0194007738958813
0.916.13782948206640.017532183369055
0.9116.14349675259890.0164905725835669
0.9216.14938189990220.0164022597070301
0.9316.15571432711870.0169721528559662
0.9416.1626989404250.017566868483463
0.9516.17066367481620.0177155817300164
0.9616.18042874284630.0180250721021951
0.9716.19361712160170.0213394804762223
0.9816.21184116809260.0311924846879912
0.9916.23345320775860.0464528555288889


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')