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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 22 Feb 2012 11:32:28 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/22/t1329928393qk9nmieqrsds7jx.htm/, Retrieved Tue, 07 May 2024 00:18:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163112, Retrieved Tue, 07 May 2024 00:18:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact82

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] [] [2012-02-22 16:32:28] [48b933cf7efbf78e0756284cf4760cf4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.05
1.07
1.07
1.06
1.08
1.11
1.09
1.1
1.11
1.12
1.13
1.13
1.13
1.18
1.21
1.22
1.22
1.24
1.24
1.25
1.25
1.26
1.26
1.26
1.26
1.3
1.32
1.34
1.35
1.35
1.34
1.33
1.32
1.32
1.33
1.31
1.33
1.34
1.34
1.33
1.3
1.28
1.27
1.28
1.27
1.29
1.28
1.29
1.28
1.28
1.28
1.25
1.24
1.24
1.25
1.25
1.26
1.26
1.26
1.28

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'Gertrude Mary Cox' @ cox.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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163112&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163112&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163112&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.052653866331950.00953765725876378
0.021.056791553718920.00931230901624259
0.031.061455617034550.00936963040465873
0.041.066093092326350.00988093532738939
0.051.070584995567180.0109530799742485
0.061.075024595091930.0124282948431687
0.071.079530299419650.0139848016425815
0.081.084163030894060.0153540538572588
0.091.088920867412830.0164227166650705
0.11.09376905780610.0172383665207453
0.111.098675505926230.0179625099513005
0.121.103636202484210.0188166531598238
0.131.108685701878020.0200197931293822
0.141.113893948816440.0217315662778869
0.151.119353426867970.024015245110918
0.161.125161095458910.0268204732889122
0.171.13139912948980.0299910546665239
0.181.138117786262380.0332903582382123
0.191.145322999734030.0364358749122205
0.21.15297047534390.0391428669811483
0.211.160967046254560.0411556301448347
0.221.169178896594960.042288168427095
0.231.177445141158690.0424415199111664
0.241.185594417197370.0416166448791937
0.251.193461789189180.0399016249186648
0.261.2009034605340.0374558983881669
0.271.207807444514450.0344827101844998
0.281.214099272860980.0311991653024536
0.291.219742773210480.0278122193579505
0.31.224736718424270.024498242367136
0.311.229108616650910.0213928311286323
0.321.232907045651450.0185873968140315
0.331.236193794541620.016133936873397
0.341.239036763245380.0140458347814194
0.351.241504195147410.0123119766044598
0.361.243660471419920.0109041963544556
0.371.245563430777460.00977964152051616
0.381.247263014307460.00889337458864069
0.391.248800961886640.00820132933684746
0.41.250211278980880.00766061380588947
0.411.251521220607830.00723670385558938
0.421.252752577782930.00690347958816831
0.431.253923085189570.00664219703238814
0.441.255047791971860.00644290175366937
0.451.256140253940820.00630645809939138
0.461.257213423482570.00623582924276971
0.471.258280141924660.00624079411982975
0.481.259353183544130.00632901895866684
0.491.260444860484140.00649802535585991
0.51.261566266964740.00674004243131574
0.511.26272630778130.00703750853290377
0.521.263930706526760.007363818263045
0.531.265181210937850.00768529822998297
0.541.266475198482050.00796926310468575
0.551.267805833715180.00818515703727059
0.561.269162846372670.00831256454948427
0.571.270533898366780.0083380566344554
0.581.271906405704330.00826457693554346
0.591.273269595606950.00810779734620256
0.61.274616525148520.00789879094839264
0.611.275945775512740.00767798514742078
0.621.277262568263030.00749414950264401
0.631.278579121791650.00740052003898365
0.641.279914165551160.00744343969372641
0.651.281291640392930.0076547842006606
0.661.282738717574030.00804799644472717
0.671.284283351005170.0086113746120741
0.681.285951626373810.00931724776344657
0.691.287765182986590.0101240515091239
0.71.289738962604260.0109806107146509
0.711.291879492604190.0118319027960365
0.721.29418384933240.0126239473879914
0.731.296639381495440.0133044947346485
0.741.299224209740260.0138267769236488
0.751.301908460431090.014155806412945
0.761.304656140225930.0142669264175699
0.771.307427514753270.0141477905197421
0.781.310181822129540.0138057076104219
0.791.312880132272010.0132587344185985
0.81.315488152890690.012541032193082
0.811.317978770820040.0116952140173905
0.821.320334085172980.0107750318890079
0.831.322546627124980.00983470841468075
0.841.324619392606190.00892990908820221
0.851.326564314877140.00810989180533216
0.861.328398999819790.00741063162599249
0.871.330142062450920.00684154318660369
0.881.331808256516860.00637856130356704
0.891.333405555922030.00596342659131547
0.91.334936859421050.00552875693903378
0.911.336408169412230.00503617788640993
0.921.337842056497840.00451771150574689
0.931.339289817757440.00410704163212345
0.941.34082981221420.0040164735820877
0.951.342538086101930.00434479260489854
0.961.344428227992460.00482091160372999
0.971.346384805393810.00484999902162212
0.981.348147682520730.0038709287800207
0.991.349407202846070.00191473971462868

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.05265386633195 & 0.00953765725876378 \tabularnewline
0.02 & 1.05679155371892 & 0.00931230901624259 \tabularnewline
0.03 & 1.06145561703455 & 0.00936963040465873 \tabularnewline
0.04 & 1.06609309232635 & 0.00988093532738939 \tabularnewline
0.05 & 1.07058499556718 & 0.0109530799742485 \tabularnewline
0.06 & 1.07502459509193 & 0.0124282948431687 \tabularnewline
0.07 & 1.07953029941965 & 0.0139848016425815 \tabularnewline
0.08 & 1.08416303089406 & 0.0153540538572588 \tabularnewline
0.09 & 1.08892086741283 & 0.0164227166650705 \tabularnewline
0.1 & 1.0937690578061 & 0.0172383665207453 \tabularnewline
0.11 & 1.09867550592623 & 0.0179625099513005 \tabularnewline
0.12 & 1.10363620248421 & 0.0188166531598238 \tabularnewline
0.13 & 1.10868570187802 & 0.0200197931293822 \tabularnewline
0.14 & 1.11389394881644 & 0.0217315662778869 \tabularnewline
0.15 & 1.11935342686797 & 0.024015245110918 \tabularnewline
0.16 & 1.12516109545891 & 0.0268204732889122 \tabularnewline
0.17 & 1.1313991294898 & 0.0299910546665239 \tabularnewline
0.18 & 1.13811778626238 & 0.0332903582382123 \tabularnewline
0.19 & 1.14532299973403 & 0.0364358749122205 \tabularnewline
0.2 & 1.1529704753439 & 0.0391428669811483 \tabularnewline
0.21 & 1.16096704625456 & 0.0411556301448347 \tabularnewline
0.22 & 1.16917889659496 & 0.042288168427095 \tabularnewline
0.23 & 1.17744514115869 & 0.0424415199111664 \tabularnewline
0.24 & 1.18559441719737 & 0.0416166448791937 \tabularnewline
0.25 & 1.19346178918918 & 0.0399016249186648 \tabularnewline
0.26 & 1.200903460534 & 0.0374558983881669 \tabularnewline
0.27 & 1.20780744451445 & 0.0344827101844998 \tabularnewline
0.28 & 1.21409927286098 & 0.0311991653024536 \tabularnewline
0.29 & 1.21974277321048 & 0.0278122193579505 \tabularnewline
0.3 & 1.22473671842427 & 0.024498242367136 \tabularnewline
0.31 & 1.22910861665091 & 0.0213928311286323 \tabularnewline
0.32 & 1.23290704565145 & 0.0185873968140315 \tabularnewline
0.33 & 1.23619379454162 & 0.016133936873397 \tabularnewline
0.34 & 1.23903676324538 & 0.0140458347814194 \tabularnewline
0.35 & 1.24150419514741 & 0.0123119766044598 \tabularnewline
0.36 & 1.24366047141992 & 0.0109041963544556 \tabularnewline
0.37 & 1.24556343077746 & 0.00977964152051616 \tabularnewline
0.38 & 1.24726301430746 & 0.00889337458864069 \tabularnewline
0.39 & 1.24880096188664 & 0.00820132933684746 \tabularnewline
0.4 & 1.25021127898088 & 0.00766061380588947 \tabularnewline
0.41 & 1.25152122060783 & 0.00723670385558938 \tabularnewline
0.42 & 1.25275257778293 & 0.00690347958816831 \tabularnewline
0.43 & 1.25392308518957 & 0.00664219703238814 \tabularnewline
0.44 & 1.25504779197186 & 0.00644290175366937 \tabularnewline
0.45 & 1.25614025394082 & 0.00630645809939138 \tabularnewline
0.46 & 1.25721342348257 & 0.00623582924276971 \tabularnewline
0.47 & 1.25828014192466 & 0.00624079411982975 \tabularnewline
0.48 & 1.25935318354413 & 0.00632901895866684 \tabularnewline
0.49 & 1.26044486048414 & 0.00649802535585991 \tabularnewline
0.5 & 1.26156626696474 & 0.00674004243131574 \tabularnewline
0.51 & 1.2627263077813 & 0.00703750853290377 \tabularnewline
0.52 & 1.26393070652676 & 0.007363818263045 \tabularnewline
0.53 & 1.26518121093785 & 0.00768529822998297 \tabularnewline
0.54 & 1.26647519848205 & 0.00796926310468575 \tabularnewline
0.55 & 1.26780583371518 & 0.00818515703727059 \tabularnewline
0.56 & 1.26916284637267 & 0.00831256454948427 \tabularnewline
0.57 & 1.27053389836678 & 0.0083380566344554 \tabularnewline
0.58 & 1.27190640570433 & 0.00826457693554346 \tabularnewline
0.59 & 1.27326959560695 & 0.00810779734620256 \tabularnewline
0.6 & 1.27461652514852 & 0.00789879094839264 \tabularnewline
0.61 & 1.27594577551274 & 0.00767798514742078 \tabularnewline
0.62 & 1.27726256826303 & 0.00749414950264401 \tabularnewline
0.63 & 1.27857912179165 & 0.00740052003898365 \tabularnewline
0.64 & 1.27991416555116 & 0.00744343969372641 \tabularnewline
0.65 & 1.28129164039293 & 0.0076547842006606 \tabularnewline
0.66 & 1.28273871757403 & 0.00804799644472717 \tabularnewline
0.67 & 1.28428335100517 & 0.0086113746120741 \tabularnewline
0.68 & 1.28595162637381 & 0.00931724776344657 \tabularnewline
0.69 & 1.28776518298659 & 0.0101240515091239 \tabularnewline
0.7 & 1.28973896260426 & 0.0109806107146509 \tabularnewline
0.71 & 1.29187949260419 & 0.0118319027960365 \tabularnewline
0.72 & 1.2941838493324 & 0.0126239473879914 \tabularnewline
0.73 & 1.29663938149544 & 0.0133044947346485 \tabularnewline
0.74 & 1.29922420974026 & 0.0138267769236488 \tabularnewline
0.75 & 1.30190846043109 & 0.014155806412945 \tabularnewline
0.76 & 1.30465614022593 & 0.0142669264175699 \tabularnewline
0.77 & 1.30742751475327 & 0.0141477905197421 \tabularnewline
0.78 & 1.31018182212954 & 0.0138057076104219 \tabularnewline
0.79 & 1.31288013227201 & 0.0132587344185985 \tabularnewline
0.8 & 1.31548815289069 & 0.012541032193082 \tabularnewline
0.81 & 1.31797877082004 & 0.0116952140173905 \tabularnewline
0.82 & 1.32033408517298 & 0.0107750318890079 \tabularnewline
0.83 & 1.32254662712498 & 0.00983470841468075 \tabularnewline
0.84 & 1.32461939260619 & 0.00892990908820221 \tabularnewline
0.85 & 1.32656431487714 & 0.00810989180533216 \tabularnewline
0.86 & 1.32839899981979 & 0.00741063162599249 \tabularnewline
0.87 & 1.33014206245092 & 0.00684154318660369 \tabularnewline
0.88 & 1.33180825651686 & 0.00637856130356704 \tabularnewline
0.89 & 1.33340555592203 & 0.00596342659131547 \tabularnewline
0.9 & 1.33493685942105 & 0.00552875693903378 \tabularnewline
0.91 & 1.33640816941223 & 0.00503617788640993 \tabularnewline
0.92 & 1.33784205649784 & 0.00451771150574689 \tabularnewline
0.93 & 1.33928981775744 & 0.00410704163212345 \tabularnewline
0.94 & 1.3408298122142 & 0.0040164735820877 \tabularnewline
0.95 & 1.34253808610193 & 0.00434479260489854 \tabularnewline
0.96 & 1.34442822799246 & 0.00482091160372999 \tabularnewline
0.97 & 1.34638480539381 & 0.00484999902162212 \tabularnewline
0.98 & 1.34814768252073 & 0.0038709287800207 \tabularnewline
0.99 & 1.34940720284607 & 0.00191473971462868 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163112&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]1.05265386633195[/C][C]0.00953765725876378[/C][/ROW]
[ROW][C]0.02[/C][C]1.05679155371892[/C][C]0.00931230901624259[/C][/ROW]
[ROW][C]0.03[/C][C]1.06145561703455[/C][C]0.00936963040465873[/C][/ROW]
[ROW][C]0.04[/C][C]1.06609309232635[/C][C]0.00988093532738939[/C][/ROW]
[ROW][C]0.05[/C][C]1.07058499556718[/C][C]0.0109530799742485[/C][/ROW]
[ROW][C]0.06[/C][C]1.07502459509193[/C][C]0.0124282948431687[/C][/ROW]
[ROW][C]0.07[/C][C]1.07953029941965[/C][C]0.0139848016425815[/C][/ROW]
[ROW][C]0.08[/C][C]1.08416303089406[/C][C]0.0153540538572588[/C][/ROW]
[ROW][C]0.09[/C][C]1.08892086741283[/C][C]0.0164227166650705[/C][/ROW]
[ROW][C]0.1[/C][C]1.0937690578061[/C][C]0.0172383665207453[/C][/ROW]
[ROW][C]0.11[/C][C]1.09867550592623[/C][C]0.0179625099513005[/C][/ROW]
[ROW][C]0.12[/C][C]1.10363620248421[/C][C]0.0188166531598238[/C][/ROW]
[ROW][C]0.13[/C][C]1.10868570187802[/C][C]0.0200197931293822[/C][/ROW]
[ROW][C]0.14[/C][C]1.11389394881644[/C][C]0.0217315662778869[/C][/ROW]
[ROW][C]0.15[/C][C]1.11935342686797[/C][C]0.024015245110918[/C][/ROW]
[ROW][C]0.16[/C][C]1.12516109545891[/C][C]0.0268204732889122[/C][/ROW]
[ROW][C]0.17[/C][C]1.1313991294898[/C][C]0.0299910546665239[/C][/ROW]
[ROW][C]0.18[/C][C]1.13811778626238[/C][C]0.0332903582382123[/C][/ROW]
[ROW][C]0.19[/C][C]1.14532299973403[/C][C]0.0364358749122205[/C][/ROW]
[ROW][C]0.2[/C][C]1.1529704753439[/C][C]0.0391428669811483[/C][/ROW]
[ROW][C]0.21[/C][C]1.16096704625456[/C][C]0.0411556301448347[/C][/ROW]
[ROW][C]0.22[/C][C]1.16917889659496[/C][C]0.042288168427095[/C][/ROW]
[ROW][C]0.23[/C][C]1.17744514115869[/C][C]0.0424415199111664[/C][/ROW]
[ROW][C]0.24[/C][C]1.18559441719737[/C][C]0.0416166448791937[/C][/ROW]
[ROW][C]0.25[/C][C]1.19346178918918[/C][C]0.0399016249186648[/C][/ROW]
[ROW][C]0.26[/C][C]1.200903460534[/C][C]0.0374558983881669[/C][/ROW]
[ROW][C]0.27[/C][C]1.20780744451445[/C][C]0.0344827101844998[/C][/ROW]
[ROW][C]0.28[/C][C]1.21409927286098[/C][C]0.0311991653024536[/C][/ROW]
[ROW][C]0.29[/C][C]1.21974277321048[/C][C]0.0278122193579505[/C][/ROW]
[ROW][C]0.3[/C][C]1.22473671842427[/C][C]0.024498242367136[/C][/ROW]
[ROW][C]0.31[/C][C]1.22910861665091[/C][C]0.0213928311286323[/C][/ROW]
[ROW][C]0.32[/C][C]1.23290704565145[/C][C]0.0185873968140315[/C][/ROW]
[ROW][C]0.33[/C][C]1.23619379454162[/C][C]0.016133936873397[/C][/ROW]
[ROW][C]0.34[/C][C]1.23903676324538[/C][C]0.0140458347814194[/C][/ROW]
[ROW][C]0.35[/C][C]1.24150419514741[/C][C]0.0123119766044598[/C][/ROW]
[ROW][C]0.36[/C][C]1.24366047141992[/C][C]0.0109041963544556[/C][/ROW]
[ROW][C]0.37[/C][C]1.24556343077746[/C][C]0.00977964152051616[/C][/ROW]
[ROW][C]0.38[/C][C]1.24726301430746[/C][C]0.00889337458864069[/C][/ROW]
[ROW][C]0.39[/C][C]1.24880096188664[/C][C]0.00820132933684746[/C][/ROW]
[ROW][C]0.4[/C][C]1.25021127898088[/C][C]0.00766061380588947[/C][/ROW]
[ROW][C]0.41[/C][C]1.25152122060783[/C][C]0.00723670385558938[/C][/ROW]
[ROW][C]0.42[/C][C]1.25275257778293[/C][C]0.00690347958816831[/C][/ROW]
[ROW][C]0.43[/C][C]1.25392308518957[/C][C]0.00664219703238814[/C][/ROW]
[ROW][C]0.44[/C][C]1.25504779197186[/C][C]0.00644290175366937[/C][/ROW]
[ROW][C]0.45[/C][C]1.25614025394082[/C][C]0.00630645809939138[/C][/ROW]
[ROW][C]0.46[/C][C]1.25721342348257[/C][C]0.00623582924276971[/C][/ROW]
[ROW][C]0.47[/C][C]1.25828014192466[/C][C]0.00624079411982975[/C][/ROW]
[ROW][C]0.48[/C][C]1.25935318354413[/C][C]0.00632901895866684[/C][/ROW]
[ROW][C]0.49[/C][C]1.26044486048414[/C][C]0.00649802535585991[/C][/ROW]
[ROW][C]0.5[/C][C]1.26156626696474[/C][C]0.00674004243131574[/C][/ROW]
[ROW][C]0.51[/C][C]1.2627263077813[/C][C]0.00703750853290377[/C][/ROW]
[ROW][C]0.52[/C][C]1.26393070652676[/C][C]0.007363818263045[/C][/ROW]
[ROW][C]0.53[/C][C]1.26518121093785[/C][C]0.00768529822998297[/C][/ROW]
[ROW][C]0.54[/C][C]1.26647519848205[/C][C]0.00796926310468575[/C][/ROW]
[ROW][C]0.55[/C][C]1.26780583371518[/C][C]0.00818515703727059[/C][/ROW]
[ROW][C]0.56[/C][C]1.26916284637267[/C][C]0.00831256454948427[/C][/ROW]
[ROW][C]0.57[/C][C]1.27053389836678[/C][C]0.0083380566344554[/C][/ROW]
[ROW][C]0.58[/C][C]1.27190640570433[/C][C]0.00826457693554346[/C][/ROW]
[ROW][C]0.59[/C][C]1.27326959560695[/C][C]0.00810779734620256[/C][/ROW]
[ROW][C]0.6[/C][C]1.27461652514852[/C][C]0.00789879094839264[/C][/ROW]
[ROW][C]0.61[/C][C]1.27594577551274[/C][C]0.00767798514742078[/C][/ROW]
[ROW][C]0.62[/C][C]1.27726256826303[/C][C]0.00749414950264401[/C][/ROW]
[ROW][C]0.63[/C][C]1.27857912179165[/C][C]0.00740052003898365[/C][/ROW]
[ROW][C]0.64[/C][C]1.27991416555116[/C][C]0.00744343969372641[/C][/ROW]
[ROW][C]0.65[/C][C]1.28129164039293[/C][C]0.0076547842006606[/C][/ROW]
[ROW][C]0.66[/C][C]1.28273871757403[/C][C]0.00804799644472717[/C][/ROW]
[ROW][C]0.67[/C][C]1.28428335100517[/C][C]0.0086113746120741[/C][/ROW]
[ROW][C]0.68[/C][C]1.28595162637381[/C][C]0.00931724776344657[/C][/ROW]
[ROW][C]0.69[/C][C]1.28776518298659[/C][C]0.0101240515091239[/C][/ROW]
[ROW][C]0.7[/C][C]1.28973896260426[/C][C]0.0109806107146509[/C][/ROW]
[ROW][C]0.71[/C][C]1.29187949260419[/C][C]0.0118319027960365[/C][/ROW]
[ROW][C]0.72[/C][C]1.2941838493324[/C][C]0.0126239473879914[/C][/ROW]
[ROW][C]0.73[/C][C]1.29663938149544[/C][C]0.0133044947346485[/C][/ROW]
[ROW][C]0.74[/C][C]1.29922420974026[/C][C]0.0138267769236488[/C][/ROW]
[ROW][C]0.75[/C][C]1.30190846043109[/C][C]0.014155806412945[/C][/ROW]
[ROW][C]0.76[/C][C]1.30465614022593[/C][C]0.0142669264175699[/C][/ROW]
[ROW][C]0.77[/C][C]1.30742751475327[/C][C]0.0141477905197421[/C][/ROW]
[ROW][C]0.78[/C][C]1.31018182212954[/C][C]0.0138057076104219[/C][/ROW]
[ROW][C]0.79[/C][C]1.31288013227201[/C][C]0.0132587344185985[/C][/ROW]
[ROW][C]0.8[/C][C]1.31548815289069[/C][C]0.012541032193082[/C][/ROW]
[ROW][C]0.81[/C][C]1.31797877082004[/C][C]0.0116952140173905[/C][/ROW]
[ROW][C]0.82[/C][C]1.32033408517298[/C][C]0.0107750318890079[/C][/ROW]
[ROW][C]0.83[/C][C]1.32254662712498[/C][C]0.00983470841468075[/C][/ROW]
[ROW][C]0.84[/C][C]1.32461939260619[/C][C]0.00892990908820221[/C][/ROW]
[ROW][C]0.85[/C][C]1.32656431487714[/C][C]0.00810989180533216[/C][/ROW]
[ROW][C]0.86[/C][C]1.32839899981979[/C][C]0.00741063162599249[/C][/ROW]
[ROW][C]0.87[/C][C]1.33014206245092[/C][C]0.00684154318660369[/C][/ROW]
[ROW][C]0.88[/C][C]1.33180825651686[/C][C]0.00637856130356704[/C][/ROW]
[ROW][C]0.89[/C][C]1.33340555592203[/C][C]0.00596342659131547[/C][/ROW]
[ROW][C]0.9[/C][C]1.33493685942105[/C][C]0.00552875693903378[/C][/ROW]
[ROW][C]0.91[/C][C]1.33640816941223[/C][C]0.00503617788640993[/C][/ROW]
[ROW][C]0.92[/C][C]1.33784205649784[/C][C]0.00451771150574689[/C][/ROW]
[ROW][C]0.93[/C][C]1.33928981775744[/C][C]0.00410704163212345[/C][/ROW]
[ROW][C]0.94[/C][C]1.3408298122142[/C][C]0.0040164735820877[/C][/ROW]
[ROW][C]0.95[/C][C]1.34253808610193[/C][C]0.00434479260489854[/C][/ROW]
[ROW][C]0.96[/C][C]1.34442822799246[/C][C]0.00482091160372999[/C][/ROW]
[ROW][C]0.97[/C][C]1.34638480539381[/C][C]0.00484999902162212[/C][/ROW]
[ROW][C]0.98[/C][C]1.34814768252073[/C][C]0.0038709287800207[/C][/ROW]
[ROW][C]0.99[/C][C]1.34940720284607[/C][C]0.00191473971462868[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163112&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163112&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
0.011.052653866331950.00953765725876378
0.021.056791553718920.00931230901624259
0.031.061455617034550.00936963040465873
0.041.066093092326350.00988093532738939
0.051.070584995567180.0109530799742485
0.061.075024595091930.0124282948431687
0.071.079530299419650.0139848016425815
0.081.084163030894060.0153540538572588
0.091.088920867412830.0164227166650705
0.11.09376905780610.0172383665207453
0.111.098675505926230.0179625099513005
0.121.103636202484210.0188166531598238
0.131.108685701878020.0200197931293822
0.141.113893948816440.0217315662778869
0.151.119353426867970.024015245110918
0.161.125161095458910.0268204732889122
0.171.13139912948980.0299910546665239
0.181.138117786262380.0332903582382123
0.191.145322999734030.0364358749122205
0.21.15297047534390.0391428669811483
0.211.160967046254560.0411556301448347
0.221.169178896594960.042288168427095
0.231.177445141158690.0424415199111664
0.241.185594417197370.0416166448791937
0.251.193461789189180.0399016249186648
0.261.2009034605340.0374558983881669
0.271.207807444514450.0344827101844998
0.281.214099272860980.0311991653024536
0.291.219742773210480.0278122193579505
0.31.224736718424270.024498242367136
0.311.229108616650910.0213928311286323
0.321.232907045651450.0185873968140315
0.331.236193794541620.016133936873397
0.341.239036763245380.0140458347814194
0.351.241504195147410.0123119766044598
0.361.243660471419920.0109041963544556
0.371.245563430777460.00977964152051616
0.381.247263014307460.00889337458864069
0.391.248800961886640.00820132933684746
0.41.250211278980880.00766061380588947
0.411.251521220607830.00723670385558938
0.421.252752577782930.00690347958816831
0.431.253923085189570.00664219703238814
0.441.255047791971860.00644290175366937
0.451.256140253940820.00630645809939138
0.461.257213423482570.00623582924276971
0.471.258280141924660.00624079411982975
0.481.259353183544130.00632901895866684
0.491.260444860484140.00649802535585991
0.51.261566266964740.00674004243131574
0.511.26272630778130.00703750853290377
0.521.263930706526760.007363818263045
0.531.265181210937850.00768529822998297
0.541.266475198482050.00796926310468575
0.551.267805833715180.00818515703727059
0.561.269162846372670.00831256454948427
0.571.270533898366780.0083380566344554
0.581.271906405704330.00826457693554346
0.591.273269595606950.00810779734620256
0.61.274616525148520.00789879094839264
0.611.275945775512740.00767798514742078
0.621.277262568263030.00749414950264401
0.631.278579121791650.00740052003898365
0.641.279914165551160.00744343969372641
0.651.281291640392930.0076547842006606
0.661.282738717574030.00804799644472717
0.671.284283351005170.0086113746120741
0.681.285951626373810.00931724776344657
0.691.287765182986590.0101240515091239
0.71.289738962604260.0109806107146509
0.711.291879492604190.0118319027960365
0.721.29418384933240.0126239473879914
0.731.296639381495440.0133044947346485
0.741.299224209740260.0138267769236488
0.751.301908460431090.014155806412945
0.761.304656140225930.0142669264175699
0.771.307427514753270.0141477905197421
0.781.310181822129540.0138057076104219
0.791.312880132272010.0132587344185985
0.81.315488152890690.012541032193082
0.811.317978770820040.0116952140173905
0.821.320334085172980.0107750318890079
0.831.322546627124980.00983470841468075
0.841.324619392606190.00892990908820221
0.851.326564314877140.00810989180533216
0.861.328398999819790.00741063162599249
0.871.330142062450920.00684154318660369
0.881.331808256516860.00637856130356704
0.891.333405555922030.00596342659131547
0.91.334936859421050.00552875693903378
0.911.336408169412230.00503617788640993
0.921.337842056497840.00451771150574689
0.931.339289817757440.00410704163212345
0.941.34082981221420.0040164735820877
0.951.342538086101930.00434479260489854
0.961.344428227992460.00482091160372999
0.971.346384805393810.00484999902162212
0.981.348147682520730.0038709287800207
0.991.349407202846070.00191473971462868


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')