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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 computationThu, 09 Mar 2017 10:02:07 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Mar/09/t1489054000fcet6pvca705qep.htm/, Retrieved Wed, 15 May 2024 05:21:38 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 15 May 2024 05:21:38 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
102,8
103,3
103,3
104
104,3
104,1
103,9
103,8
103,7
103,6
103,6
103,8
104,9
106,2
106,8
107,3
106,9
107,1
106,6
106,8
107,1
107,5
107,6
107,7
108,4
108,8
108,9
109,2
110,1
110,4
110,7
111
111
111,2
111,5
111,4
111,1
110,6
110,8
110,9
110,8
110,9
110,6
110,3
109,7
109,4
109
109,5
109,8
108,5
108,4
108,4
107,9
106,7
106,9
106,9
106,7
106,7
106,6
107,1

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01102.9049170341470.408171069412443
0.02103.0512639347880.306974532075864
0.03103.1944663659610.233751831674989
0.04103.3146883661920.20036655066315
0.05103.411600951020.189477458746528
0.06103.4916658437630.18380358217815
0.07103.5609978650250.179211497149688
0.08103.6239235598920.179098496725323
0.09103.683799219750.188489577242303
0.1103.7438935774610.21171547198588
0.11103.8077519220330.251632172649522
0.12103.8791610360280.309785243429459
0.13103.9619132383730.386062976149209
0.14104.0594746143960.478290785761672
0.15104.1746040306960.582271106465972
0.16104.3089684869180.691590435542435
0.17104.4628196905610.798223879216283
0.18104.6348045416470.893534104072382
0.19104.8219667217450.969232994380293
0.2105.0199613817571.01871567780797
0.21105.2234611775731.03788300494492
0.22105.4266924087921.02580807475296
0.23105.6240151595220.984648191168273
0.24105.810456569570.919119768121851
0.25105.9821212664320.835747346217137
0.26106.1364320820680.741970165046695
0.27106.2721890670380.645039920956592
0.28106.3894668940460.551382898839184
0.29106.4893935348230.465954753919334
0.3106.5738635430320.392067665670516
0.31106.6452378190450.331874630251567
0.32106.7060713967480.285902012336788
0.33106.7588958165190.253761017697197
0.34106.8060671513560.234131977428813
0.35106.8496778072990.225438475735375
0.36106.8915214611460.225571595620728
0.37106.9330962131350.232927134612257
0.38106.9756305348220.245949540502901
0.39107.0201187069230.263450019714272
0.4107.0673559230530.284644637202152
0.41107.117967048180.308643753753107
0.42107.1724264647030.334669138130121
0.43107.2310691470750.362179650043071
0.44107.2940949680490.390264814671261
0.45107.3615693030160.418204414333414
0.46107.4334233787090.444942707884764
0.47107.5094576327840.470258286293899
0.48107.5893507212360.492873038544449
0.49107.6726758303650.512212183222697
0.5107.758924727290.527964258329699
0.51107.8475386545820.539715975474308
0.52107.9379439128050.547618676385925
0.53108.0295889750460.551843436641521
0.54108.121979424780.552884261216741
0.55108.2147070329970.551401780294711
0.56108.3074699248760.548208967702845
0.57108.4000819406180.544117118522378
0.58108.492470762330.539755831553968
0.59108.5846658732840.536004701144899
0.6108.6767786371010.533081317867276
0.61108.7689774914670.53125832163878
0.62108.8614613250120.530675919640382
0.63108.9544335831970.531068107907529
0.64109.0480787142340.53235352336868
0.65109.1425415067090.534133174286512
0.66109.2379090025160.53608020440299
0.67109.3341942529240.537772025974839
0.68109.4313213546710.538733210945444
0.69109.5291119181410.538321070759132
0.7109.6272741678380.536081332715607
0.71109.7253969133960.531178986556361
0.72109.8229512668220.523086721672865
0.73109.9193028882660.511248961850308
0.74110.0137365541450.495358386849819
0.75110.1054930345030.47522518310072
0.76110.1938159740450.450934092010242
0.77110.2780042232290.42305592926924
0.78110.3574634584460.392308422083128
0.79110.4317504574080.359734909106568
0.8110.5006042904150.326421655963754
0.81110.5639608364790.293503640415663
0.82110.6219500004020.261985509278562
0.83110.6748781742540.232784269704547
0.84110.7232012487580.206482478152789
0.85110.7674954052180.183470869047074
0.86110.8084337820510.163920229031976
0.87110.846776765760.14786655866711
0.88110.8833818055090.135337834908882
0.89110.9192346208960.126362949331405
0.9110.9554963072070.121167758662616
0.91110.9935486171120.120120443705529
0.92111.035001497710.123523457432532
0.93111.0816043787390.131435080464146
0.94111.1349837444290.142758956326828
0.95111.1961294497540.154873309594751
0.96111.264585748080.1626345461419
0.97111.3373837367350.159441370909256
0.98111.4079631681490.141468579813031
0.99111.4659618764170.115516480041059

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 102.904917034147 & 0.408171069412443 \tabularnewline
0.02 & 103.051263934788 & 0.306974532075864 \tabularnewline
0.03 & 103.194466365961 & 0.233751831674989 \tabularnewline
0.04 & 103.314688366192 & 0.20036655066315 \tabularnewline
0.05 & 103.41160095102 & 0.189477458746528 \tabularnewline
0.06 & 103.491665843763 & 0.18380358217815 \tabularnewline
0.07 & 103.560997865025 & 0.179211497149688 \tabularnewline
0.08 & 103.623923559892 & 0.179098496725323 \tabularnewline
0.09 & 103.68379921975 & 0.188489577242303 \tabularnewline
0.1 & 103.743893577461 & 0.21171547198588 \tabularnewline
0.11 & 103.807751922033 & 0.251632172649522 \tabularnewline
0.12 & 103.879161036028 & 0.309785243429459 \tabularnewline
0.13 & 103.961913238373 & 0.386062976149209 \tabularnewline
0.14 & 104.059474614396 & 0.478290785761672 \tabularnewline
0.15 & 104.174604030696 & 0.582271106465972 \tabularnewline
0.16 & 104.308968486918 & 0.691590435542435 \tabularnewline
0.17 & 104.462819690561 & 0.798223879216283 \tabularnewline
0.18 & 104.634804541647 & 0.893534104072382 \tabularnewline
0.19 & 104.821966721745 & 0.969232994380293 \tabularnewline
0.2 & 105.019961381757 & 1.01871567780797 \tabularnewline
0.21 & 105.223461177573 & 1.03788300494492 \tabularnewline
0.22 & 105.426692408792 & 1.02580807475296 \tabularnewline
0.23 & 105.624015159522 & 0.984648191168273 \tabularnewline
0.24 & 105.81045656957 & 0.919119768121851 \tabularnewline
0.25 & 105.982121266432 & 0.835747346217137 \tabularnewline
0.26 & 106.136432082068 & 0.741970165046695 \tabularnewline
0.27 & 106.272189067038 & 0.645039920956592 \tabularnewline
0.28 & 106.389466894046 & 0.551382898839184 \tabularnewline
0.29 & 106.489393534823 & 0.465954753919334 \tabularnewline
0.3 & 106.573863543032 & 0.392067665670516 \tabularnewline
0.31 & 106.645237819045 & 0.331874630251567 \tabularnewline
0.32 & 106.706071396748 & 0.285902012336788 \tabularnewline
0.33 & 106.758895816519 & 0.253761017697197 \tabularnewline
0.34 & 106.806067151356 & 0.234131977428813 \tabularnewline
0.35 & 106.849677807299 & 0.225438475735375 \tabularnewline
0.36 & 106.891521461146 & 0.225571595620728 \tabularnewline
0.37 & 106.933096213135 & 0.232927134612257 \tabularnewline
0.38 & 106.975630534822 & 0.245949540502901 \tabularnewline
0.39 & 107.020118706923 & 0.263450019714272 \tabularnewline
0.4 & 107.067355923053 & 0.284644637202152 \tabularnewline
0.41 & 107.11796704818 & 0.308643753753107 \tabularnewline
0.42 & 107.172426464703 & 0.334669138130121 \tabularnewline
0.43 & 107.231069147075 & 0.362179650043071 \tabularnewline
0.44 & 107.294094968049 & 0.390264814671261 \tabularnewline
0.45 & 107.361569303016 & 0.418204414333414 \tabularnewline
0.46 & 107.433423378709 & 0.444942707884764 \tabularnewline
0.47 & 107.509457632784 & 0.470258286293899 \tabularnewline
0.48 & 107.589350721236 & 0.492873038544449 \tabularnewline
0.49 & 107.672675830365 & 0.512212183222697 \tabularnewline
0.5 & 107.75892472729 & 0.527964258329699 \tabularnewline
0.51 & 107.847538654582 & 0.539715975474308 \tabularnewline
0.52 & 107.937943912805 & 0.547618676385925 \tabularnewline
0.53 & 108.029588975046 & 0.551843436641521 \tabularnewline
0.54 & 108.12197942478 & 0.552884261216741 \tabularnewline
0.55 & 108.214707032997 & 0.551401780294711 \tabularnewline
0.56 & 108.307469924876 & 0.548208967702845 \tabularnewline
0.57 & 108.400081940618 & 0.544117118522378 \tabularnewline
0.58 & 108.49247076233 & 0.539755831553968 \tabularnewline
0.59 & 108.584665873284 & 0.536004701144899 \tabularnewline
0.6 & 108.676778637101 & 0.533081317867276 \tabularnewline
0.61 & 108.768977491467 & 0.53125832163878 \tabularnewline
0.62 & 108.861461325012 & 0.530675919640382 \tabularnewline
0.63 & 108.954433583197 & 0.531068107907529 \tabularnewline
0.64 & 109.048078714234 & 0.53235352336868 \tabularnewline
0.65 & 109.142541506709 & 0.534133174286512 \tabularnewline
0.66 & 109.237909002516 & 0.53608020440299 \tabularnewline
0.67 & 109.334194252924 & 0.537772025974839 \tabularnewline
0.68 & 109.431321354671 & 0.538733210945444 \tabularnewline
0.69 & 109.529111918141 & 0.538321070759132 \tabularnewline
0.7 & 109.627274167838 & 0.536081332715607 \tabularnewline
0.71 & 109.725396913396 & 0.531178986556361 \tabularnewline
0.72 & 109.822951266822 & 0.523086721672865 \tabularnewline
0.73 & 109.919302888266 & 0.511248961850308 \tabularnewline
0.74 & 110.013736554145 & 0.495358386849819 \tabularnewline
0.75 & 110.105493034503 & 0.47522518310072 \tabularnewline
0.76 & 110.193815974045 & 0.450934092010242 \tabularnewline
0.77 & 110.278004223229 & 0.42305592926924 \tabularnewline
0.78 & 110.357463458446 & 0.392308422083128 \tabularnewline
0.79 & 110.431750457408 & 0.359734909106568 \tabularnewline
0.8 & 110.500604290415 & 0.326421655963754 \tabularnewline
0.81 & 110.563960836479 & 0.293503640415663 \tabularnewline
0.82 & 110.621950000402 & 0.261985509278562 \tabularnewline
0.83 & 110.674878174254 & 0.232784269704547 \tabularnewline
0.84 & 110.723201248758 & 0.206482478152789 \tabularnewline
0.85 & 110.767495405218 & 0.183470869047074 \tabularnewline
0.86 & 110.808433782051 & 0.163920229031976 \tabularnewline
0.87 & 110.84677676576 & 0.14786655866711 \tabularnewline
0.88 & 110.883381805509 & 0.135337834908882 \tabularnewline
0.89 & 110.919234620896 & 0.126362949331405 \tabularnewline
0.9 & 110.955496307207 & 0.121167758662616 \tabularnewline
0.91 & 110.993548617112 & 0.120120443705529 \tabularnewline
0.92 & 111.03500149771 & 0.123523457432532 \tabularnewline
0.93 & 111.081604378739 & 0.131435080464146 \tabularnewline
0.94 & 111.134983744429 & 0.142758956326828 \tabularnewline
0.95 & 111.196129449754 & 0.154873309594751 \tabularnewline
0.96 & 111.26458574808 & 0.1626345461419 \tabularnewline
0.97 & 111.337383736735 & 0.159441370909256 \tabularnewline
0.98 & 111.407963168149 & 0.141468579813031 \tabularnewline
0.99 & 111.465961876417 & 0.115516480041059 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]102.904917034147[/C][C]0.408171069412443[/C][/ROW]
[ROW][C]0.02[/C][C]103.051263934788[/C][C]0.306974532075864[/C][/ROW]
[ROW][C]0.03[/C][C]103.194466365961[/C][C]0.233751831674989[/C][/ROW]
[ROW][C]0.04[/C][C]103.314688366192[/C][C]0.20036655066315[/C][/ROW]
[ROW][C]0.05[/C][C]103.41160095102[/C][C]0.189477458746528[/C][/ROW]
[ROW][C]0.06[/C][C]103.491665843763[/C][C]0.18380358217815[/C][/ROW]
[ROW][C]0.07[/C][C]103.560997865025[/C][C]0.179211497149688[/C][/ROW]
[ROW][C]0.08[/C][C]103.623923559892[/C][C]0.179098496725323[/C][/ROW]
[ROW][C]0.09[/C][C]103.68379921975[/C][C]0.188489577242303[/C][/ROW]
[ROW][C]0.1[/C][C]103.743893577461[/C][C]0.21171547198588[/C][/ROW]
[ROW][C]0.11[/C][C]103.807751922033[/C][C]0.251632172649522[/C][/ROW]
[ROW][C]0.12[/C][C]103.879161036028[/C][C]0.309785243429459[/C][/ROW]
[ROW][C]0.13[/C][C]103.961913238373[/C][C]0.386062976149209[/C][/ROW]
[ROW][C]0.14[/C][C]104.059474614396[/C][C]0.478290785761672[/C][/ROW]
[ROW][C]0.15[/C][C]104.174604030696[/C][C]0.582271106465972[/C][/ROW]
[ROW][C]0.16[/C][C]104.308968486918[/C][C]0.691590435542435[/C][/ROW]
[ROW][C]0.17[/C][C]104.462819690561[/C][C]0.798223879216283[/C][/ROW]
[ROW][C]0.18[/C][C]104.634804541647[/C][C]0.893534104072382[/C][/ROW]
[ROW][C]0.19[/C][C]104.821966721745[/C][C]0.969232994380293[/C][/ROW]
[ROW][C]0.2[/C][C]105.019961381757[/C][C]1.01871567780797[/C][/ROW]
[ROW][C]0.21[/C][C]105.223461177573[/C][C]1.03788300494492[/C][/ROW]
[ROW][C]0.22[/C][C]105.426692408792[/C][C]1.02580807475296[/C][/ROW]
[ROW][C]0.23[/C][C]105.624015159522[/C][C]0.984648191168273[/C][/ROW]
[ROW][C]0.24[/C][C]105.81045656957[/C][C]0.919119768121851[/C][/ROW]
[ROW][C]0.25[/C][C]105.982121266432[/C][C]0.835747346217137[/C][/ROW]
[ROW][C]0.26[/C][C]106.136432082068[/C][C]0.741970165046695[/C][/ROW]
[ROW][C]0.27[/C][C]106.272189067038[/C][C]0.645039920956592[/C][/ROW]
[ROW][C]0.28[/C][C]106.389466894046[/C][C]0.551382898839184[/C][/ROW]
[ROW][C]0.29[/C][C]106.489393534823[/C][C]0.465954753919334[/C][/ROW]
[ROW][C]0.3[/C][C]106.573863543032[/C][C]0.392067665670516[/C][/ROW]
[ROW][C]0.31[/C][C]106.645237819045[/C][C]0.331874630251567[/C][/ROW]
[ROW][C]0.32[/C][C]106.706071396748[/C][C]0.285902012336788[/C][/ROW]
[ROW][C]0.33[/C][C]106.758895816519[/C][C]0.253761017697197[/C][/ROW]
[ROW][C]0.34[/C][C]106.806067151356[/C][C]0.234131977428813[/C][/ROW]
[ROW][C]0.35[/C][C]106.849677807299[/C][C]0.225438475735375[/C][/ROW]
[ROW][C]0.36[/C][C]106.891521461146[/C][C]0.225571595620728[/C][/ROW]
[ROW][C]0.37[/C][C]106.933096213135[/C][C]0.232927134612257[/C][/ROW]
[ROW][C]0.38[/C][C]106.975630534822[/C][C]0.245949540502901[/C][/ROW]
[ROW][C]0.39[/C][C]107.020118706923[/C][C]0.263450019714272[/C][/ROW]
[ROW][C]0.4[/C][C]107.067355923053[/C][C]0.284644637202152[/C][/ROW]
[ROW][C]0.41[/C][C]107.11796704818[/C][C]0.308643753753107[/C][/ROW]
[ROW][C]0.42[/C][C]107.172426464703[/C][C]0.334669138130121[/C][/ROW]
[ROW][C]0.43[/C][C]107.231069147075[/C][C]0.362179650043071[/C][/ROW]
[ROW][C]0.44[/C][C]107.294094968049[/C][C]0.390264814671261[/C][/ROW]
[ROW][C]0.45[/C][C]107.361569303016[/C][C]0.418204414333414[/C][/ROW]
[ROW][C]0.46[/C][C]107.433423378709[/C][C]0.444942707884764[/C][/ROW]
[ROW][C]0.47[/C][C]107.509457632784[/C][C]0.470258286293899[/C][/ROW]
[ROW][C]0.48[/C][C]107.589350721236[/C][C]0.492873038544449[/C][/ROW]
[ROW][C]0.49[/C][C]107.672675830365[/C][C]0.512212183222697[/C][/ROW]
[ROW][C]0.5[/C][C]107.75892472729[/C][C]0.527964258329699[/C][/ROW]
[ROW][C]0.51[/C][C]107.847538654582[/C][C]0.539715975474308[/C][/ROW]
[ROW][C]0.52[/C][C]107.937943912805[/C][C]0.547618676385925[/C][/ROW]
[ROW][C]0.53[/C][C]108.029588975046[/C][C]0.551843436641521[/C][/ROW]
[ROW][C]0.54[/C][C]108.12197942478[/C][C]0.552884261216741[/C][/ROW]
[ROW][C]0.55[/C][C]108.214707032997[/C][C]0.551401780294711[/C][/ROW]
[ROW][C]0.56[/C][C]108.307469924876[/C][C]0.548208967702845[/C][/ROW]
[ROW][C]0.57[/C][C]108.400081940618[/C][C]0.544117118522378[/C][/ROW]
[ROW][C]0.58[/C][C]108.49247076233[/C][C]0.539755831553968[/C][/ROW]
[ROW][C]0.59[/C][C]108.584665873284[/C][C]0.536004701144899[/C][/ROW]
[ROW][C]0.6[/C][C]108.676778637101[/C][C]0.533081317867276[/C][/ROW]
[ROW][C]0.61[/C][C]108.768977491467[/C][C]0.53125832163878[/C][/ROW]
[ROW][C]0.62[/C][C]108.861461325012[/C][C]0.530675919640382[/C][/ROW]
[ROW][C]0.63[/C][C]108.954433583197[/C][C]0.531068107907529[/C][/ROW]
[ROW][C]0.64[/C][C]109.048078714234[/C][C]0.53235352336868[/C][/ROW]
[ROW][C]0.65[/C][C]109.142541506709[/C][C]0.534133174286512[/C][/ROW]
[ROW][C]0.66[/C][C]109.237909002516[/C][C]0.53608020440299[/C][/ROW]
[ROW][C]0.67[/C][C]109.334194252924[/C][C]0.537772025974839[/C][/ROW]
[ROW][C]0.68[/C][C]109.431321354671[/C][C]0.538733210945444[/C][/ROW]
[ROW][C]0.69[/C][C]109.529111918141[/C][C]0.538321070759132[/C][/ROW]
[ROW][C]0.7[/C][C]109.627274167838[/C][C]0.536081332715607[/C][/ROW]
[ROW][C]0.71[/C][C]109.725396913396[/C][C]0.531178986556361[/C][/ROW]
[ROW][C]0.72[/C][C]109.822951266822[/C][C]0.523086721672865[/C][/ROW]
[ROW][C]0.73[/C][C]109.919302888266[/C][C]0.511248961850308[/C][/ROW]
[ROW][C]0.74[/C][C]110.013736554145[/C][C]0.495358386849819[/C][/ROW]
[ROW][C]0.75[/C][C]110.105493034503[/C][C]0.47522518310072[/C][/ROW]
[ROW][C]0.76[/C][C]110.193815974045[/C][C]0.450934092010242[/C][/ROW]
[ROW][C]0.77[/C][C]110.278004223229[/C][C]0.42305592926924[/C][/ROW]
[ROW][C]0.78[/C][C]110.357463458446[/C][C]0.392308422083128[/C][/ROW]
[ROW][C]0.79[/C][C]110.431750457408[/C][C]0.359734909106568[/C][/ROW]
[ROW][C]0.8[/C][C]110.500604290415[/C][C]0.326421655963754[/C][/ROW]
[ROW][C]0.81[/C][C]110.563960836479[/C][C]0.293503640415663[/C][/ROW]
[ROW][C]0.82[/C][C]110.621950000402[/C][C]0.261985509278562[/C][/ROW]
[ROW][C]0.83[/C][C]110.674878174254[/C][C]0.232784269704547[/C][/ROW]
[ROW][C]0.84[/C][C]110.723201248758[/C][C]0.206482478152789[/C][/ROW]
[ROW][C]0.85[/C][C]110.767495405218[/C][C]0.183470869047074[/C][/ROW]
[ROW][C]0.86[/C][C]110.808433782051[/C][C]0.163920229031976[/C][/ROW]
[ROW][C]0.87[/C][C]110.84677676576[/C][C]0.14786655866711[/C][/ROW]
[ROW][C]0.88[/C][C]110.883381805509[/C][C]0.135337834908882[/C][/ROW]
[ROW][C]0.89[/C][C]110.919234620896[/C][C]0.126362949331405[/C][/ROW]
[ROW][C]0.9[/C][C]110.955496307207[/C][C]0.121167758662616[/C][/ROW]
[ROW][C]0.91[/C][C]110.993548617112[/C][C]0.120120443705529[/C][/ROW]
[ROW][C]0.92[/C][C]111.03500149771[/C][C]0.123523457432532[/C][/ROW]
[ROW][C]0.93[/C][C]111.081604378739[/C][C]0.131435080464146[/C][/ROW]
[ROW][C]0.94[/C][C]111.134983744429[/C][C]0.142758956326828[/C][/ROW]
[ROW][C]0.95[/C][C]111.196129449754[/C][C]0.154873309594751[/C][/ROW]
[ROW][C]0.96[/C][C]111.26458574808[/C][C]0.1626345461419[/C][/ROW]
[ROW][C]0.97[/C][C]111.337383736735[/C][C]0.159441370909256[/C][/ROW]
[ROW][C]0.98[/C][C]111.407963168149[/C][C]0.141468579813031[/C][/ROW]
[ROW][C]0.99[/C][C]111.465961876417[/C][C]0.115516480041059[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.01102.9049170341470.408171069412443
0.02103.0512639347880.306974532075864
0.03103.1944663659610.233751831674989
0.04103.3146883661920.20036655066315
0.05103.411600951020.189477458746528
0.06103.4916658437630.18380358217815
0.07103.5609978650250.179211497149688
0.08103.6239235598920.179098496725323
0.09103.683799219750.188489577242303
0.1103.7438935774610.21171547198588
0.11103.8077519220330.251632172649522
0.12103.8791610360280.309785243429459
0.13103.9619132383730.386062976149209
0.14104.0594746143960.478290785761672
0.15104.1746040306960.582271106465972
0.16104.3089684869180.691590435542435
0.17104.4628196905610.798223879216283
0.18104.6348045416470.893534104072382
0.19104.8219667217450.969232994380293
0.2105.0199613817571.01871567780797
0.21105.2234611775731.03788300494492
0.22105.4266924087921.02580807475296
0.23105.6240151595220.984648191168273
0.24105.810456569570.919119768121851
0.25105.9821212664320.835747346217137
0.26106.1364320820680.741970165046695
0.27106.2721890670380.645039920956592
0.28106.3894668940460.551382898839184
0.29106.4893935348230.465954753919334
0.3106.5738635430320.392067665670516
0.31106.6452378190450.331874630251567
0.32106.7060713967480.285902012336788
0.33106.7588958165190.253761017697197
0.34106.8060671513560.234131977428813
0.35106.8496778072990.225438475735375
0.36106.8915214611460.225571595620728
0.37106.9330962131350.232927134612257
0.38106.9756305348220.245949540502901
0.39107.0201187069230.263450019714272
0.4107.0673559230530.284644637202152
0.41107.117967048180.308643753753107
0.42107.1724264647030.334669138130121
0.43107.2310691470750.362179650043071
0.44107.2940949680490.390264814671261
0.45107.3615693030160.418204414333414
0.46107.4334233787090.444942707884764
0.47107.5094576327840.470258286293899
0.48107.5893507212360.492873038544449
0.49107.6726758303650.512212183222697
0.5107.758924727290.527964258329699
0.51107.8475386545820.539715975474308
0.52107.9379439128050.547618676385925
0.53108.0295889750460.551843436641521
0.54108.121979424780.552884261216741
0.55108.2147070329970.551401780294711
0.56108.3074699248760.548208967702845
0.57108.4000819406180.544117118522378
0.58108.492470762330.539755831553968
0.59108.5846658732840.536004701144899
0.6108.6767786371010.533081317867276
0.61108.7689774914670.53125832163878
0.62108.8614613250120.530675919640382
0.63108.9544335831970.531068107907529
0.64109.0480787142340.53235352336868
0.65109.1425415067090.534133174286512
0.66109.2379090025160.53608020440299
0.67109.3341942529240.537772025974839
0.68109.4313213546710.538733210945444
0.69109.5291119181410.538321070759132
0.7109.6272741678380.536081332715607
0.71109.7253969133960.531178986556361
0.72109.8229512668220.523086721672865
0.73109.9193028882660.511248961850308
0.74110.0137365541450.495358386849819
0.75110.1054930345030.47522518310072
0.76110.1938159740450.450934092010242
0.77110.2780042232290.42305592926924
0.78110.3574634584460.392308422083128
0.79110.4317504574080.359734909106568
0.8110.5006042904150.326421655963754
0.81110.5639608364790.293503640415663
0.82110.6219500004020.261985509278562
0.83110.6748781742540.232784269704547
0.84110.7232012487580.206482478152789
0.85110.7674954052180.183470869047074
0.86110.8084337820510.163920229031976
0.87110.846776765760.14786655866711
0.88110.8833818055090.135337834908882
0.89110.9192346208960.126362949331405
0.9110.9554963072070.121167758662616
0.91110.9935486171120.120120443705529
0.92111.035001497710.123523457432532
0.93111.0816043787390.131435080464146
0.94111.1349837444290.142758956326828
0.95111.1961294497540.154873309594751
0.96111.264585748080.1626345461419
0.97111.3373837367350.159441370909256
0.98111.4079631681490.141468579813031
0.99111.4659618764170.115516480041059


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')