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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 computationTue, 01 Dec 2009 09:17:14 -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/Dec/01/t1259684329fb6512pzog5hkll.htm/, Retrieved Fri, 19 Apr 2024 22:25:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=62109, Retrieved Fri, 19 Apr 2024 22:25:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact148

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [(Partial) Autocorrelation Function] [] [2009-11-27 14:48:46] [b98453cac15ba1066b407e146608df68]
- RMPD      [Harrell-Davis Quantiles] [WS 9 - opgave Pro...] [2009-12-01 16:17:14] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   P         [Harrell-Davis Quantiles] [Workshop 9 - opga...] [2009-12-01 19:45:03] [1646a2766cb8c4a6f9d3b2fffef409b3]
-    D          [Harrell-Davis Quantiles] [Harrel-Davis Quan...] [2009-12-07 22:06:49] [9717cb857c153ca3061376906953b329]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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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'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62109&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62109&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62109&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-1.201909307249580.0735505775824211
0.02-1.084590846246380.0617516823572523
0.03-0.997437247678210.0659904620716957
0.04-0.9275318079907470.056006015970412
0.05-0.873314866043570.053194996714053
0.06-0.8244116724728110.0575468756140119
0.07-0.7761911990720520.0604651570543561
0.08-0.7302139114591720.0597056005064893
0.09-0.6868498647105150.0611529667115199
0.1-0.6450868669554020.061167627859152
0.11-0.6070151508472610.0545151094014093
0.12-0.5753198649790460.0453457690653852
0.13-0.5493730981648440.0398763180959546
0.14-0.5264900033861230.0385148852075097
0.15-0.5048304856340780.0382904907102214
0.16-0.4840167919021020.0375793357193041
0.17-0.4642313107886150.0363672901565854
0.18-0.4456533922659310.0347213112819406
0.19-0.4284511213080440.0325351394226493
0.2-0.4127604417358260.0300376923271845
0.21-0.398565548632330.0276686885437142
0.22-0.3856764563370980.0257357705202465
0.23-0.3737746241667790.0245042232047570
0.24-0.3624326343534010.0242584949338023
0.25-0.3511762643887260.0250039461191847
0.26-0.3396458264064250.0262610644881819
0.27-0.3277442946910420.0273379677762017
0.28-0.3156370388585770.0277662212040905
0.29-0.3036168193068180.0274694693552594
0.3-0.2919458462513590.026667851453999
0.31-0.2807494352855560.0257545960541349
0.32-0.2699770576212510.0251523081579288
0.33-0.2594359389505080.0251305716883391
0.34-0.2488840489759740.0256671459585938
0.35-0.238121851303130.02656964224326
0.36-0.2270170315075470.0277094173056871
0.37-0.2154625055377050.0291225568738839
0.38-0.2033315952833270.0308969312987426
0.39-0.1904891814218300.0329944577188739
0.4-0.1768629757727090.0351314880590319
0.41-0.1625286548948610.0368331558440820
0.42-0.1477464118323630.0376315352495174
0.43-0.1329113208160150.0373041778807198
0.44-0.1184344621477670.0359882050186622
0.45-0.1046192595599290.0340914796135345
0.46-0.09159830720135650.0320749146669452
0.47-0.07934858012277890.0302715136463204
0.48-0.06774765017255340.0288522693661775
0.49-0.0566152192694810.0279316090951527
0.5-0.045716208047170.0276715925597078
0.51-0.03475463253042320.0282383336138235
0.52-0.02340947443221070.0296161495755005
0.53-0.01142665133993430.0314753638967515
0.540.001282896089872570.0332752071678257
0.550.01461353080212120.0345412056802384
0.560.02833348395710090.0351041621132375
0.570.04220840980018060.0351326047714918
0.580.05610038398961760.0349618582070703
0.590.06998548636623010.0348482480521397
0.60.08388744531628240.0347932415645432
0.610.09777854100427130.0345452643860409
0.620.1115334992170730.0338493228993145
0.630.1250113051115870.0328314273165754
0.640.1382590347897830.0322418233513232
0.650.1517107455315380.0332357529944587
0.660.1661876168078360.0366098460056209
0.670.1825809506288910.0419259107520346
0.680.2013153231675390.0473114870644451
0.690.2219156220497520.0503091884262148
0.70.2430288747898160.0492628995573292
0.710.2629728326283610.0443275677673486
0.720.2804888868018230.0373299287700574
0.730.2952371158820930.0306990074808525
0.740.3078181784837400.0263678491752559
0.750.3194631553346240.0253115452065132
0.760.3316596182594160.0276351224747116
0.770.3458515272845880.0328097215572909
0.780.3631774123566920.0397678825991345
0.790.3841832483311560.0468875382607684
0.80.4085863661896870.0522974483659711
0.810.4353012092268440.0546445311105992
0.820.4628265014809270.0537480789149607
0.830.4897976782846570.0505050214824166
0.840.515408671079630.0463305677924866
0.850.5395963498034470.0426997053325233
0.860.5630524599500890.0408746969083738
0.870.5871474559012690.0417881004642348
0.880.6137300582049190.0457607752670933
0.890.644700168219580.0520688886943008
0.90.6815272304535660.0594016809481752
0.910.7243981461949340.0649589600287096
0.920.7702902892288450.0629903254883696
0.930.8134792886932750.0525278194267432
0.940.8529115399990120.0457185574464831
0.950.898743192648190.0556607860703332
0.960.965453401770270.0746173801612628
0.971.063710731118990.0942836074987451
0.981.219034179919710.127342646913196
0.991.473444138745260.142380282983404

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -1.20190930724958 & 0.0735505775824211 \tabularnewline
0.02 & -1.08459084624638 & 0.0617516823572523 \tabularnewline
0.03 & -0.99743724767821 & 0.0659904620716957 \tabularnewline
0.04 & -0.927531807990747 & 0.056006015970412 \tabularnewline
0.05 & -0.87331486604357 & 0.053194996714053 \tabularnewline
0.06 & -0.824411672472811 & 0.0575468756140119 \tabularnewline
0.07 & -0.776191199072052 & 0.0604651570543561 \tabularnewline
0.08 & -0.730213911459172 & 0.0597056005064893 \tabularnewline
0.09 & -0.686849864710515 & 0.0611529667115199 \tabularnewline
0.1 & -0.645086866955402 & 0.061167627859152 \tabularnewline
0.11 & -0.607015150847261 & 0.0545151094014093 \tabularnewline
0.12 & -0.575319864979046 & 0.0453457690653852 \tabularnewline
0.13 & -0.549373098164844 & 0.0398763180959546 \tabularnewline
0.14 & -0.526490003386123 & 0.0385148852075097 \tabularnewline
0.15 & -0.504830485634078 & 0.0382904907102214 \tabularnewline
0.16 & -0.484016791902102 & 0.0375793357193041 \tabularnewline
0.17 & -0.464231310788615 & 0.0363672901565854 \tabularnewline
0.18 & -0.445653392265931 & 0.0347213112819406 \tabularnewline
0.19 & -0.428451121308044 & 0.0325351394226493 \tabularnewline
0.2 & -0.412760441735826 & 0.0300376923271845 \tabularnewline
0.21 & -0.39856554863233 & 0.0276686885437142 \tabularnewline
0.22 & -0.385676456337098 & 0.0257357705202465 \tabularnewline
0.23 & -0.373774624166779 & 0.0245042232047570 \tabularnewline
0.24 & -0.362432634353401 & 0.0242584949338023 \tabularnewline
0.25 & -0.351176264388726 & 0.0250039461191847 \tabularnewline
0.26 & -0.339645826406425 & 0.0262610644881819 \tabularnewline
0.27 & -0.327744294691042 & 0.0273379677762017 \tabularnewline
0.28 & -0.315637038858577 & 0.0277662212040905 \tabularnewline
0.29 & -0.303616819306818 & 0.0274694693552594 \tabularnewline
0.3 & -0.291945846251359 & 0.026667851453999 \tabularnewline
0.31 & -0.280749435285556 & 0.0257545960541349 \tabularnewline
0.32 & -0.269977057621251 & 0.0251523081579288 \tabularnewline
0.33 & -0.259435938950508 & 0.0251305716883391 \tabularnewline
0.34 & -0.248884048975974 & 0.0256671459585938 \tabularnewline
0.35 & -0.23812185130313 & 0.02656964224326 \tabularnewline
0.36 & -0.227017031507547 & 0.0277094173056871 \tabularnewline
0.37 & -0.215462505537705 & 0.0291225568738839 \tabularnewline
0.38 & -0.203331595283327 & 0.0308969312987426 \tabularnewline
0.39 & -0.190489181421830 & 0.0329944577188739 \tabularnewline
0.4 & -0.176862975772709 & 0.0351314880590319 \tabularnewline
0.41 & -0.162528654894861 & 0.0368331558440820 \tabularnewline
0.42 & -0.147746411832363 & 0.0376315352495174 \tabularnewline
0.43 & -0.132911320816015 & 0.0373041778807198 \tabularnewline
0.44 & -0.118434462147767 & 0.0359882050186622 \tabularnewline
0.45 & -0.104619259559929 & 0.0340914796135345 \tabularnewline
0.46 & -0.0915983072013565 & 0.0320749146669452 \tabularnewline
0.47 & -0.0793485801227789 & 0.0302715136463204 \tabularnewline
0.48 & -0.0677476501725534 & 0.0288522693661775 \tabularnewline
0.49 & -0.056615219269481 & 0.0279316090951527 \tabularnewline
0.5 & -0.04571620804717 & 0.0276715925597078 \tabularnewline
0.51 & -0.0347546325304232 & 0.0282383336138235 \tabularnewline
0.52 & -0.0234094744322107 & 0.0296161495755005 \tabularnewline
0.53 & -0.0114266513399343 & 0.0314753638967515 \tabularnewline
0.54 & 0.00128289608987257 & 0.0332752071678257 \tabularnewline
0.55 & 0.0146135308021212 & 0.0345412056802384 \tabularnewline
0.56 & 0.0283334839571009 & 0.0351041621132375 \tabularnewline
0.57 & 0.0422084098001806 & 0.0351326047714918 \tabularnewline
0.58 & 0.0561003839896176 & 0.0349618582070703 \tabularnewline
0.59 & 0.0699854863662301 & 0.0348482480521397 \tabularnewline
0.6 & 0.0838874453162824 & 0.0347932415645432 \tabularnewline
0.61 & 0.0977785410042713 & 0.0345452643860409 \tabularnewline
0.62 & 0.111533499217073 & 0.0338493228993145 \tabularnewline
0.63 & 0.125011305111587 & 0.0328314273165754 \tabularnewline
0.64 & 0.138259034789783 & 0.0322418233513232 \tabularnewline
0.65 & 0.151710745531538 & 0.0332357529944587 \tabularnewline
0.66 & 0.166187616807836 & 0.0366098460056209 \tabularnewline
0.67 & 0.182580950628891 & 0.0419259107520346 \tabularnewline
0.68 & 0.201315323167539 & 0.0473114870644451 \tabularnewline
0.69 & 0.221915622049752 & 0.0503091884262148 \tabularnewline
0.7 & 0.243028874789816 & 0.0492628995573292 \tabularnewline
0.71 & 0.262972832628361 & 0.0443275677673486 \tabularnewline
0.72 & 0.280488886801823 & 0.0373299287700574 \tabularnewline
0.73 & 0.295237115882093 & 0.0306990074808525 \tabularnewline
0.74 & 0.307818178483740 & 0.0263678491752559 \tabularnewline
0.75 & 0.319463155334624 & 0.0253115452065132 \tabularnewline
0.76 & 0.331659618259416 & 0.0276351224747116 \tabularnewline
0.77 & 0.345851527284588 & 0.0328097215572909 \tabularnewline
0.78 & 0.363177412356692 & 0.0397678825991345 \tabularnewline
0.79 & 0.384183248331156 & 0.0468875382607684 \tabularnewline
0.8 & 0.408586366189687 & 0.0522974483659711 \tabularnewline
0.81 & 0.435301209226844 & 0.0546445311105992 \tabularnewline
0.82 & 0.462826501480927 & 0.0537480789149607 \tabularnewline
0.83 & 0.489797678284657 & 0.0505050214824166 \tabularnewline
0.84 & 0.51540867107963 & 0.0463305677924866 \tabularnewline
0.85 & 0.539596349803447 & 0.0426997053325233 \tabularnewline
0.86 & 0.563052459950089 & 0.0408746969083738 \tabularnewline
0.87 & 0.587147455901269 & 0.0417881004642348 \tabularnewline
0.88 & 0.613730058204919 & 0.0457607752670933 \tabularnewline
0.89 & 0.64470016821958 & 0.0520688886943008 \tabularnewline
0.9 & 0.681527230453566 & 0.0594016809481752 \tabularnewline
0.91 & 0.724398146194934 & 0.0649589600287096 \tabularnewline
0.92 & 0.770290289228845 & 0.0629903254883696 \tabularnewline
0.93 & 0.813479288693275 & 0.0525278194267432 \tabularnewline
0.94 & 0.852911539999012 & 0.0457185574464831 \tabularnewline
0.95 & 0.89874319264819 & 0.0556607860703332 \tabularnewline
0.96 & 0.96545340177027 & 0.0746173801612628 \tabularnewline
0.97 & 1.06371073111899 & 0.0942836074987451 \tabularnewline
0.98 & 1.21903417991971 & 0.127342646913196 \tabularnewline
0.99 & 1.47344413874526 & 0.142380282983404 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62109&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]-1.20190930724958[/C][C]0.0735505775824211[/C][/ROW]
[ROW][C]0.02[/C][C]-1.08459084624638[/C][C]0.0617516823572523[/C][/ROW]
[ROW][C]0.03[/C][C]-0.99743724767821[/C][C]0.0659904620716957[/C][/ROW]
[ROW][C]0.04[/C][C]-0.927531807990747[/C][C]0.056006015970412[/C][/ROW]
[ROW][C]0.05[/C][C]-0.87331486604357[/C][C]0.053194996714053[/C][/ROW]
[ROW][C]0.06[/C][C]-0.824411672472811[/C][C]0.0575468756140119[/C][/ROW]
[ROW][C]0.07[/C][C]-0.776191199072052[/C][C]0.0604651570543561[/C][/ROW]
[ROW][C]0.08[/C][C]-0.730213911459172[/C][C]0.0597056005064893[/C][/ROW]
[ROW][C]0.09[/C][C]-0.686849864710515[/C][C]0.0611529667115199[/C][/ROW]
[ROW][C]0.1[/C][C]-0.645086866955402[/C][C]0.061167627859152[/C][/ROW]
[ROW][C]0.11[/C][C]-0.607015150847261[/C][C]0.0545151094014093[/C][/ROW]
[ROW][C]0.12[/C][C]-0.575319864979046[/C][C]0.0453457690653852[/C][/ROW]
[ROW][C]0.13[/C][C]-0.549373098164844[/C][C]0.0398763180959546[/C][/ROW]
[ROW][C]0.14[/C][C]-0.526490003386123[/C][C]0.0385148852075097[/C][/ROW]
[ROW][C]0.15[/C][C]-0.504830485634078[/C][C]0.0382904907102214[/C][/ROW]
[ROW][C]0.16[/C][C]-0.484016791902102[/C][C]0.0375793357193041[/C][/ROW]
[ROW][C]0.17[/C][C]-0.464231310788615[/C][C]0.0363672901565854[/C][/ROW]
[ROW][C]0.18[/C][C]-0.445653392265931[/C][C]0.0347213112819406[/C][/ROW]
[ROW][C]0.19[/C][C]-0.428451121308044[/C][C]0.0325351394226493[/C][/ROW]
[ROW][C]0.2[/C][C]-0.412760441735826[/C][C]0.0300376923271845[/C][/ROW]
[ROW][C]0.21[/C][C]-0.39856554863233[/C][C]0.0276686885437142[/C][/ROW]
[ROW][C]0.22[/C][C]-0.385676456337098[/C][C]0.0257357705202465[/C][/ROW]
[ROW][C]0.23[/C][C]-0.373774624166779[/C][C]0.0245042232047570[/C][/ROW]
[ROW][C]0.24[/C][C]-0.362432634353401[/C][C]0.0242584949338023[/C][/ROW]
[ROW][C]0.25[/C][C]-0.351176264388726[/C][C]0.0250039461191847[/C][/ROW]
[ROW][C]0.26[/C][C]-0.339645826406425[/C][C]0.0262610644881819[/C][/ROW]
[ROW][C]0.27[/C][C]-0.327744294691042[/C][C]0.0273379677762017[/C][/ROW]
[ROW][C]0.28[/C][C]-0.315637038858577[/C][C]0.0277662212040905[/C][/ROW]
[ROW][C]0.29[/C][C]-0.303616819306818[/C][C]0.0274694693552594[/C][/ROW]
[ROW][C]0.3[/C][C]-0.291945846251359[/C][C]0.026667851453999[/C][/ROW]
[ROW][C]0.31[/C][C]-0.280749435285556[/C][C]0.0257545960541349[/C][/ROW]
[ROW][C]0.32[/C][C]-0.269977057621251[/C][C]0.0251523081579288[/C][/ROW]
[ROW][C]0.33[/C][C]-0.259435938950508[/C][C]0.0251305716883391[/C][/ROW]
[ROW][C]0.34[/C][C]-0.248884048975974[/C][C]0.0256671459585938[/C][/ROW]
[ROW][C]0.35[/C][C]-0.23812185130313[/C][C]0.02656964224326[/C][/ROW]
[ROW][C]0.36[/C][C]-0.227017031507547[/C][C]0.0277094173056871[/C][/ROW]
[ROW][C]0.37[/C][C]-0.215462505537705[/C][C]0.0291225568738839[/C][/ROW]
[ROW][C]0.38[/C][C]-0.203331595283327[/C][C]0.0308969312987426[/C][/ROW]
[ROW][C]0.39[/C][C]-0.190489181421830[/C][C]0.0329944577188739[/C][/ROW]
[ROW][C]0.4[/C][C]-0.176862975772709[/C][C]0.0351314880590319[/C][/ROW]
[ROW][C]0.41[/C][C]-0.162528654894861[/C][C]0.0368331558440820[/C][/ROW]
[ROW][C]0.42[/C][C]-0.147746411832363[/C][C]0.0376315352495174[/C][/ROW]
[ROW][C]0.43[/C][C]-0.132911320816015[/C][C]0.0373041778807198[/C][/ROW]
[ROW][C]0.44[/C][C]-0.118434462147767[/C][C]0.0359882050186622[/C][/ROW]
[ROW][C]0.45[/C][C]-0.104619259559929[/C][C]0.0340914796135345[/C][/ROW]
[ROW][C]0.46[/C][C]-0.0915983072013565[/C][C]0.0320749146669452[/C][/ROW]
[ROW][C]0.47[/C][C]-0.0793485801227789[/C][C]0.0302715136463204[/C][/ROW]
[ROW][C]0.48[/C][C]-0.0677476501725534[/C][C]0.0288522693661775[/C][/ROW]
[ROW][C]0.49[/C][C]-0.056615219269481[/C][C]0.0279316090951527[/C][/ROW]
[ROW][C]0.5[/C][C]-0.04571620804717[/C][C]0.0276715925597078[/C][/ROW]
[ROW][C]0.51[/C][C]-0.0347546325304232[/C][C]0.0282383336138235[/C][/ROW]
[ROW][C]0.52[/C][C]-0.0234094744322107[/C][C]0.0296161495755005[/C][/ROW]
[ROW][C]0.53[/C][C]-0.0114266513399343[/C][C]0.0314753638967515[/C][/ROW]
[ROW][C]0.54[/C][C]0.00128289608987257[/C][C]0.0332752071678257[/C][/ROW]
[ROW][C]0.55[/C][C]0.0146135308021212[/C][C]0.0345412056802384[/C][/ROW]
[ROW][C]0.56[/C][C]0.0283334839571009[/C][C]0.0351041621132375[/C][/ROW]
[ROW][C]0.57[/C][C]0.0422084098001806[/C][C]0.0351326047714918[/C][/ROW]
[ROW][C]0.58[/C][C]0.0561003839896176[/C][C]0.0349618582070703[/C][/ROW]
[ROW][C]0.59[/C][C]0.0699854863662301[/C][C]0.0348482480521397[/C][/ROW]
[ROW][C]0.6[/C][C]0.0838874453162824[/C][C]0.0347932415645432[/C][/ROW]
[ROW][C]0.61[/C][C]0.0977785410042713[/C][C]0.0345452643860409[/C][/ROW]
[ROW][C]0.62[/C][C]0.111533499217073[/C][C]0.0338493228993145[/C][/ROW]
[ROW][C]0.63[/C][C]0.125011305111587[/C][C]0.0328314273165754[/C][/ROW]
[ROW][C]0.64[/C][C]0.138259034789783[/C][C]0.0322418233513232[/C][/ROW]
[ROW][C]0.65[/C][C]0.151710745531538[/C][C]0.0332357529944587[/C][/ROW]
[ROW][C]0.66[/C][C]0.166187616807836[/C][C]0.0366098460056209[/C][/ROW]
[ROW][C]0.67[/C][C]0.182580950628891[/C][C]0.0419259107520346[/C][/ROW]
[ROW][C]0.68[/C][C]0.201315323167539[/C][C]0.0473114870644451[/C][/ROW]
[ROW][C]0.69[/C][C]0.221915622049752[/C][C]0.0503091884262148[/C][/ROW]
[ROW][C]0.7[/C][C]0.243028874789816[/C][C]0.0492628995573292[/C][/ROW]
[ROW][C]0.71[/C][C]0.262972832628361[/C][C]0.0443275677673486[/C][/ROW]
[ROW][C]0.72[/C][C]0.280488886801823[/C][C]0.0373299287700574[/C][/ROW]
[ROW][C]0.73[/C][C]0.295237115882093[/C][C]0.0306990074808525[/C][/ROW]
[ROW][C]0.74[/C][C]0.307818178483740[/C][C]0.0263678491752559[/C][/ROW]
[ROW][C]0.75[/C][C]0.319463155334624[/C][C]0.0253115452065132[/C][/ROW]
[ROW][C]0.76[/C][C]0.331659618259416[/C][C]0.0276351224747116[/C][/ROW]
[ROW][C]0.77[/C][C]0.345851527284588[/C][C]0.0328097215572909[/C][/ROW]
[ROW][C]0.78[/C][C]0.363177412356692[/C][C]0.0397678825991345[/C][/ROW]
[ROW][C]0.79[/C][C]0.384183248331156[/C][C]0.0468875382607684[/C][/ROW]
[ROW][C]0.8[/C][C]0.408586366189687[/C][C]0.0522974483659711[/C][/ROW]
[ROW][C]0.81[/C][C]0.435301209226844[/C][C]0.0546445311105992[/C][/ROW]
[ROW][C]0.82[/C][C]0.462826501480927[/C][C]0.0537480789149607[/C][/ROW]
[ROW][C]0.83[/C][C]0.489797678284657[/C][C]0.0505050214824166[/C][/ROW]
[ROW][C]0.84[/C][C]0.51540867107963[/C][C]0.0463305677924866[/C][/ROW]
[ROW][C]0.85[/C][C]0.539596349803447[/C][C]0.0426997053325233[/C][/ROW]
[ROW][C]0.86[/C][C]0.563052459950089[/C][C]0.0408746969083738[/C][/ROW]
[ROW][C]0.87[/C][C]0.587147455901269[/C][C]0.0417881004642348[/C][/ROW]
[ROW][C]0.88[/C][C]0.613730058204919[/C][C]0.0457607752670933[/C][/ROW]
[ROW][C]0.89[/C][C]0.64470016821958[/C][C]0.0520688886943008[/C][/ROW]
[ROW][C]0.9[/C][C]0.681527230453566[/C][C]0.0594016809481752[/C][/ROW]
[ROW][C]0.91[/C][C]0.724398146194934[/C][C]0.0649589600287096[/C][/ROW]
[ROW][C]0.92[/C][C]0.770290289228845[/C][C]0.0629903254883696[/C][/ROW]
[ROW][C]0.93[/C][C]0.813479288693275[/C][C]0.0525278194267432[/C][/ROW]
[ROW][C]0.94[/C][C]0.852911539999012[/C][C]0.0457185574464831[/C][/ROW]
[ROW][C]0.95[/C][C]0.89874319264819[/C][C]0.0556607860703332[/C][/ROW]
[ROW][C]0.96[/C][C]0.96545340177027[/C][C]0.0746173801612628[/C][/ROW]
[ROW][C]0.97[/C][C]1.06371073111899[/C][C]0.0942836074987451[/C][/ROW]
[ROW][C]0.98[/C][C]1.21903417991971[/C][C]0.127342646913196[/C][/ROW]
[ROW][C]0.99[/C][C]1.47344413874526[/C][C]0.142380282983404[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62109&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62109&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
0.01-1.201909307249580.0735505775824211
0.02-1.084590846246380.0617516823572523
0.03-0.997437247678210.0659904620716957
0.04-0.9275318079907470.056006015970412
0.05-0.873314866043570.053194996714053
0.06-0.8244116724728110.0575468756140119
0.07-0.7761911990720520.0604651570543561
0.08-0.7302139114591720.0597056005064893
0.09-0.6868498647105150.0611529667115199
0.1-0.6450868669554020.061167627859152
0.11-0.6070151508472610.0545151094014093
0.12-0.5753198649790460.0453457690653852
0.13-0.5493730981648440.0398763180959546
0.14-0.5264900033861230.0385148852075097
0.15-0.5048304856340780.0382904907102214
0.16-0.4840167919021020.0375793357193041
0.17-0.4642313107886150.0363672901565854
0.18-0.4456533922659310.0347213112819406
0.19-0.4284511213080440.0325351394226493
0.2-0.4127604417358260.0300376923271845
0.21-0.398565548632330.0276686885437142
0.22-0.3856764563370980.0257357705202465
0.23-0.3737746241667790.0245042232047570
0.24-0.3624326343534010.0242584949338023
0.25-0.3511762643887260.0250039461191847
0.26-0.3396458264064250.0262610644881819
0.27-0.3277442946910420.0273379677762017
0.28-0.3156370388585770.0277662212040905
0.29-0.3036168193068180.0274694693552594
0.3-0.2919458462513590.026667851453999
0.31-0.2807494352855560.0257545960541349
0.32-0.2699770576212510.0251523081579288
0.33-0.2594359389505080.0251305716883391
0.34-0.2488840489759740.0256671459585938
0.35-0.238121851303130.02656964224326
0.36-0.2270170315075470.0277094173056871
0.37-0.2154625055377050.0291225568738839
0.38-0.2033315952833270.0308969312987426
0.39-0.1904891814218300.0329944577188739
0.4-0.1768629757727090.0351314880590319
0.41-0.1625286548948610.0368331558440820
0.42-0.1477464118323630.0376315352495174
0.43-0.1329113208160150.0373041778807198
0.44-0.1184344621477670.0359882050186622
0.45-0.1046192595599290.0340914796135345
0.46-0.09159830720135650.0320749146669452
0.47-0.07934858012277890.0302715136463204
0.48-0.06774765017255340.0288522693661775
0.49-0.0566152192694810.0279316090951527
0.5-0.045716208047170.0276715925597078
0.51-0.03475463253042320.0282383336138235
0.52-0.02340947443221070.0296161495755005
0.53-0.01142665133993430.0314753638967515
0.540.001282896089872570.0332752071678257
0.550.01461353080212120.0345412056802384
0.560.02833348395710090.0351041621132375
0.570.04220840980018060.0351326047714918
0.580.05610038398961760.0349618582070703
0.590.06998548636623010.0348482480521397
0.60.08388744531628240.0347932415645432
0.610.09777854100427130.0345452643860409
0.620.1115334992170730.0338493228993145
0.630.1250113051115870.0328314273165754
0.640.1382590347897830.0322418233513232
0.650.1517107455315380.0332357529944587
0.660.1661876168078360.0366098460056209
0.670.1825809506288910.0419259107520346
0.680.2013153231675390.0473114870644451
0.690.2219156220497520.0503091884262148
0.70.2430288747898160.0492628995573292
0.710.2629728326283610.0443275677673486
0.720.2804888868018230.0373299287700574
0.730.2952371158820930.0306990074808525
0.740.3078181784837400.0263678491752559
0.750.3194631553346240.0253115452065132
0.760.3316596182594160.0276351224747116
0.770.3458515272845880.0328097215572909
0.780.3631774123566920.0397678825991345
0.790.3841832483311560.0468875382607684
0.80.4085863661896870.0522974483659711
0.810.4353012092268440.0546445311105992
0.820.4628265014809270.0537480789149607
0.830.4897976782846570.0505050214824166
0.840.515408671079630.0463305677924866
0.850.5395963498034470.0426997053325233
0.860.5630524599500890.0408746969083738
0.870.5871474559012690.0417881004642348
0.880.6137300582049190.0457607752670933
0.890.644700168219580.0520688886943008
0.90.6815272304535660.0594016809481752
0.910.7243981461949340.0649589600287096
0.920.7702902892288450.0629903254883696
0.930.8134792886932750.0525278194267432
0.940.8529115399990120.0457185574464831
0.950.898743192648190.0556607860703332
0.960.965453401770270.0746173801612628
0.971.063710731118990.0942836074987451
0.981.219034179919710.127342646913196
0.991.473444138745260.142380282983404


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')