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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, 12 Feb 2015 17:48:39 +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/2015/Feb/12/t1423763361i6b75b9mj507mj6.htm/, Retrieved Sat, 18 May 2024 15:17:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277209, Retrieved Sat, 18 May 2024 15:17:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact67

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] [uitgaven communic...] [2015-02-12 17:48:39] [567f06ca3de45fa0ce67a0a89b883c29] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
94.67
94.6
93.9
93.41
93.37
93.35
93.08
93.05
92.61
92.37
92.24
91.95
92.63
92.7
92.47
92.58
92.55
92.56
89.92
89.96
90.03
90.31
90.8
90.36
90.31
93.8
93.95
93.99
94.44
94.15
91.91
91.86
93.12
93.47
93.57
94.57
95.85
96.62
95.69
95.39
95.14
95.07
94.21
95.4
95.1
94.89
95.43
94.88
96.03
96.37
96.04
95.72
95.74
95.78
93.66
95.29
94.33
95.66
95.2
94.61
96.21
96.27
95.12
95.55
93.51
92.86
92.45
93.34
92.01
91.77
92.19
91.97

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277209&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277209&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277209&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0189.94342887924590.064790673867011
0.0289.99273434085110.11941551042774
0.0390.06687545316850.184404712439212
0.0490.16399888957730.254575155138348
0.0590.28341708040330.337192905254636
0.0690.42552103164340.433537815897555
0.0790.58988394776280.530106231193598
0.0890.7729586737470.606063255927742
0.0990.96719623526810.644438325766587
0.191.16227082552110.638828974908191
0.1191.34764902329520.594882827259617
0.1291.51512835502410.526211153874255
0.1391.66030199175770.449081742820025
0.1491.78265546823250.377514889970762
0.1591.88462909623240.320337824706957
0.1691.97024302940970.280754994825018
0.1792.04381753634420.256854526440004
0.1892.10909350977630.243786715359405
0.1992.16882357972870.236451847174509
0.292.22474757043450.231074984621106
0.2192.27780284501460.225508275483234
0.2292.3284256740440.219177073474643
0.2392.37683936321850.212309656436736
0.2492.42327110347790.206338782367317
0.2592.4680774819020.202563275973934
0.2692.51178371856240.201818372889206
0.2792.55505521713730.205330649526875
0.2892.59862524010070.212821942519616
0.2992.64320260959720.223903008953807
0.392.68938050461360.23774406891703
0.3192.73756295046030.25277888215992
0.3292.78792018092850.267417355885882
0.3392.84037820218810.280618834643232
0.3492.89464213605590.290997998912184
0.3592.95024787796860.298191422417354
0.3693.0066328613420.301611833203052
0.3793.06321470007090.301525388813136
0.3893.11946633162440.298662128813333
0.3993.17497783958690.293766903907303
0.493.22949797126020.288001948543672
0.4193.2829519048130.282295025587761
0.4293.33543545175810.277870642821961
0.4393.38718906422330.275125153763204
0.4493.43855734759120.274905214544127
0.4593.48994101986430.277071913754895
0.4693.54174834834750.281725208160561
0.4793.59435214200940.288217970696646
0.4893.64805664602030.295910786130306
0.4993.7030765476390.304592240475025
0.593.75952818299550.313037628118265
0.5193.81743132159380.321170092330907
0.5293.87671886876970.328570221784246
0.5393.93725155060030.33464533170122
0.5493.99883501277920.339428771334357
0.5594.06123749457090.342614246911176
0.5694.12420698324380.344240456209167
0.5794.18748721886540.34432542577398
0.5894.25083197075680.342781338227846
0.5994.31401672650950.340056693951204
0.694.37684659079270.336161438929154
0.6194.43915913356240.331354214916477
0.6294.50082143253990.325919871721214
0.6394.5617216829320.319900847261058
0.6494.62175726704040.313498375814398
0.6594.68082260281180.306637321390128
0.6694.73880083825530.29894202706152
0.6794.79556306659770.290599498642831
0.6894.85097708116060.281251223713062
0.6994.90492509397970.271176989958875
0.794.95732702618280.260414087318856
0.7195.00816382793490.249568338408503
0.7295.05749453545180.238909632714319
0.7395.10546171354850.229082945059607
0.7495.1522822900890.220659570516896
0.7595.19822384404640.213753426152438
0.7695.24356932640230.20829064656429
0.7795.28857540645440.204188854482014
0.7895.33343107166050.200935890206282
0.7995.37822408217420.1979293214909
0.895.42292366218780.194564029666787
0.8195.46738808249670.190190990694118
0.8295.51140437785390.184362445870226
0.8395.5547626730830.177079880160997
0.8495.59735836399030.168713457729755
0.8595.63930263707790.160202164477621
0.8695.68100947998330.153056748076268
0.8795.72322199876940.148851902771211
0.8895.76694908500450.148750934723522
0.8995.81330750572540.152755030186132
0.995.86329863652820.159549602064249
0.9195.91758112466440.16693906722437
0.9295.97632175569090.17232783895038
0.9396.03922465825790.173736981886619
0.9496.10587556769710.170050182711026
0.9596.17656343153930.161826719717538
0.9696.25349728572990.152689299450601
0.9796.34118441932570.151468103861751
0.9896.44245132699460.170263721990533
0.9996.54674161988320.209929523583127

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 89.9434288792459 & 0.064790673867011 \tabularnewline
0.02 & 89.9927343408511 & 0.11941551042774 \tabularnewline
0.03 & 90.0668754531685 & 0.184404712439212 \tabularnewline
0.04 & 90.1639988895773 & 0.254575155138348 \tabularnewline
0.05 & 90.2834170804033 & 0.337192905254636 \tabularnewline
0.06 & 90.4255210316434 & 0.433537815897555 \tabularnewline
0.07 & 90.5898839477628 & 0.530106231193598 \tabularnewline
0.08 & 90.772958673747 & 0.606063255927742 \tabularnewline
0.09 & 90.9671962352681 & 0.644438325766587 \tabularnewline
0.1 & 91.1622708255211 & 0.638828974908191 \tabularnewline
0.11 & 91.3476490232952 & 0.594882827259617 \tabularnewline
0.12 & 91.5151283550241 & 0.526211153874255 \tabularnewline
0.13 & 91.6603019917577 & 0.449081742820025 \tabularnewline
0.14 & 91.7826554682325 & 0.377514889970762 \tabularnewline
0.15 & 91.8846290962324 & 0.320337824706957 \tabularnewline
0.16 & 91.9702430294097 & 0.280754994825018 \tabularnewline
0.17 & 92.0438175363442 & 0.256854526440004 \tabularnewline
0.18 & 92.1090935097763 & 0.243786715359405 \tabularnewline
0.19 & 92.1688235797287 & 0.236451847174509 \tabularnewline
0.2 & 92.2247475704345 & 0.231074984621106 \tabularnewline
0.21 & 92.2778028450146 & 0.225508275483234 \tabularnewline
0.22 & 92.328425674044 & 0.219177073474643 \tabularnewline
0.23 & 92.3768393632185 & 0.212309656436736 \tabularnewline
0.24 & 92.4232711034779 & 0.206338782367317 \tabularnewline
0.25 & 92.468077481902 & 0.202563275973934 \tabularnewline
0.26 & 92.5117837185624 & 0.201818372889206 \tabularnewline
0.27 & 92.5550552171373 & 0.205330649526875 \tabularnewline
0.28 & 92.5986252401007 & 0.212821942519616 \tabularnewline
0.29 & 92.6432026095972 & 0.223903008953807 \tabularnewline
0.3 & 92.6893805046136 & 0.23774406891703 \tabularnewline
0.31 & 92.7375629504603 & 0.25277888215992 \tabularnewline
0.32 & 92.7879201809285 & 0.267417355885882 \tabularnewline
0.33 & 92.8403782021881 & 0.280618834643232 \tabularnewline
0.34 & 92.8946421360559 & 0.290997998912184 \tabularnewline
0.35 & 92.9502478779686 & 0.298191422417354 \tabularnewline
0.36 & 93.006632861342 & 0.301611833203052 \tabularnewline
0.37 & 93.0632147000709 & 0.301525388813136 \tabularnewline
0.38 & 93.1194663316244 & 0.298662128813333 \tabularnewline
0.39 & 93.1749778395869 & 0.293766903907303 \tabularnewline
0.4 & 93.2294979712602 & 0.288001948543672 \tabularnewline
0.41 & 93.282951904813 & 0.282295025587761 \tabularnewline
0.42 & 93.3354354517581 & 0.277870642821961 \tabularnewline
0.43 & 93.3871890642233 & 0.275125153763204 \tabularnewline
0.44 & 93.4385573475912 & 0.274905214544127 \tabularnewline
0.45 & 93.4899410198643 & 0.277071913754895 \tabularnewline
0.46 & 93.5417483483475 & 0.281725208160561 \tabularnewline
0.47 & 93.5943521420094 & 0.288217970696646 \tabularnewline
0.48 & 93.6480566460203 & 0.295910786130306 \tabularnewline
0.49 & 93.703076547639 & 0.304592240475025 \tabularnewline
0.5 & 93.7595281829955 & 0.313037628118265 \tabularnewline
0.51 & 93.8174313215938 & 0.321170092330907 \tabularnewline
0.52 & 93.8767188687697 & 0.328570221784246 \tabularnewline
0.53 & 93.9372515506003 & 0.33464533170122 \tabularnewline
0.54 & 93.9988350127792 & 0.339428771334357 \tabularnewline
0.55 & 94.0612374945709 & 0.342614246911176 \tabularnewline
0.56 & 94.1242069832438 & 0.344240456209167 \tabularnewline
0.57 & 94.1874872188654 & 0.34432542577398 \tabularnewline
0.58 & 94.2508319707568 & 0.342781338227846 \tabularnewline
0.59 & 94.3140167265095 & 0.340056693951204 \tabularnewline
0.6 & 94.3768465907927 & 0.336161438929154 \tabularnewline
0.61 & 94.4391591335624 & 0.331354214916477 \tabularnewline
0.62 & 94.5008214325399 & 0.325919871721214 \tabularnewline
0.63 & 94.561721682932 & 0.319900847261058 \tabularnewline
0.64 & 94.6217572670404 & 0.313498375814398 \tabularnewline
0.65 & 94.6808226028118 & 0.306637321390128 \tabularnewline
0.66 & 94.7388008382553 & 0.29894202706152 \tabularnewline
0.67 & 94.7955630665977 & 0.290599498642831 \tabularnewline
0.68 & 94.8509770811606 & 0.281251223713062 \tabularnewline
0.69 & 94.9049250939797 & 0.271176989958875 \tabularnewline
0.7 & 94.9573270261828 & 0.260414087318856 \tabularnewline
0.71 & 95.0081638279349 & 0.249568338408503 \tabularnewline
0.72 & 95.0574945354518 & 0.238909632714319 \tabularnewline
0.73 & 95.1054617135485 & 0.229082945059607 \tabularnewline
0.74 & 95.152282290089 & 0.220659570516896 \tabularnewline
0.75 & 95.1982238440464 & 0.213753426152438 \tabularnewline
0.76 & 95.2435693264023 & 0.20829064656429 \tabularnewline
0.77 & 95.2885754064544 & 0.204188854482014 \tabularnewline
0.78 & 95.3334310716605 & 0.200935890206282 \tabularnewline
0.79 & 95.3782240821742 & 0.1979293214909 \tabularnewline
0.8 & 95.4229236621878 & 0.194564029666787 \tabularnewline
0.81 & 95.4673880824967 & 0.190190990694118 \tabularnewline
0.82 & 95.5114043778539 & 0.184362445870226 \tabularnewline
0.83 & 95.554762673083 & 0.177079880160997 \tabularnewline
0.84 & 95.5973583639903 & 0.168713457729755 \tabularnewline
0.85 & 95.6393026370779 & 0.160202164477621 \tabularnewline
0.86 & 95.6810094799833 & 0.153056748076268 \tabularnewline
0.87 & 95.7232219987694 & 0.148851902771211 \tabularnewline
0.88 & 95.7669490850045 & 0.148750934723522 \tabularnewline
0.89 & 95.8133075057254 & 0.152755030186132 \tabularnewline
0.9 & 95.8632986365282 & 0.159549602064249 \tabularnewline
0.91 & 95.9175811246644 & 0.16693906722437 \tabularnewline
0.92 & 95.9763217556909 & 0.17232783895038 \tabularnewline
0.93 & 96.0392246582579 & 0.173736981886619 \tabularnewline
0.94 & 96.1058755676971 & 0.170050182711026 \tabularnewline
0.95 & 96.1765634315393 & 0.161826719717538 \tabularnewline
0.96 & 96.2534972857299 & 0.152689299450601 \tabularnewline
0.97 & 96.3411844193257 & 0.151468103861751 \tabularnewline
0.98 & 96.4424513269946 & 0.170263721990533 \tabularnewline
0.99 & 96.5467416198832 & 0.209929523583127 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277209&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]89.9434288792459[/C][C]0.064790673867011[/C][/ROW]
[ROW][C]0.02[/C][C]89.9927343408511[/C][C]0.11941551042774[/C][/ROW]
[ROW][C]0.03[/C][C]90.0668754531685[/C][C]0.184404712439212[/C][/ROW]
[ROW][C]0.04[/C][C]90.1639988895773[/C][C]0.254575155138348[/C][/ROW]
[ROW][C]0.05[/C][C]90.2834170804033[/C][C]0.337192905254636[/C][/ROW]
[ROW][C]0.06[/C][C]90.4255210316434[/C][C]0.433537815897555[/C][/ROW]
[ROW][C]0.07[/C][C]90.5898839477628[/C][C]0.530106231193598[/C][/ROW]
[ROW][C]0.08[/C][C]90.772958673747[/C][C]0.606063255927742[/C][/ROW]
[ROW][C]0.09[/C][C]90.9671962352681[/C][C]0.644438325766587[/C][/ROW]
[ROW][C]0.1[/C][C]91.1622708255211[/C][C]0.638828974908191[/C][/ROW]
[ROW][C]0.11[/C][C]91.3476490232952[/C][C]0.594882827259617[/C][/ROW]
[ROW][C]0.12[/C][C]91.5151283550241[/C][C]0.526211153874255[/C][/ROW]
[ROW][C]0.13[/C][C]91.6603019917577[/C][C]0.449081742820025[/C][/ROW]
[ROW][C]0.14[/C][C]91.7826554682325[/C][C]0.377514889970762[/C][/ROW]
[ROW][C]0.15[/C][C]91.8846290962324[/C][C]0.320337824706957[/C][/ROW]
[ROW][C]0.16[/C][C]91.9702430294097[/C][C]0.280754994825018[/C][/ROW]
[ROW][C]0.17[/C][C]92.0438175363442[/C][C]0.256854526440004[/C][/ROW]
[ROW][C]0.18[/C][C]92.1090935097763[/C][C]0.243786715359405[/C][/ROW]
[ROW][C]0.19[/C][C]92.1688235797287[/C][C]0.236451847174509[/C][/ROW]
[ROW][C]0.2[/C][C]92.2247475704345[/C][C]0.231074984621106[/C][/ROW]
[ROW][C]0.21[/C][C]92.2778028450146[/C][C]0.225508275483234[/C][/ROW]
[ROW][C]0.22[/C][C]92.328425674044[/C][C]0.219177073474643[/C][/ROW]
[ROW][C]0.23[/C][C]92.3768393632185[/C][C]0.212309656436736[/C][/ROW]
[ROW][C]0.24[/C][C]92.4232711034779[/C][C]0.206338782367317[/C][/ROW]
[ROW][C]0.25[/C][C]92.468077481902[/C][C]0.202563275973934[/C][/ROW]
[ROW][C]0.26[/C][C]92.5117837185624[/C][C]0.201818372889206[/C][/ROW]
[ROW][C]0.27[/C][C]92.5550552171373[/C][C]0.205330649526875[/C][/ROW]
[ROW][C]0.28[/C][C]92.5986252401007[/C][C]0.212821942519616[/C][/ROW]
[ROW][C]0.29[/C][C]92.6432026095972[/C][C]0.223903008953807[/C][/ROW]
[ROW][C]0.3[/C][C]92.6893805046136[/C][C]0.23774406891703[/C][/ROW]
[ROW][C]0.31[/C][C]92.7375629504603[/C][C]0.25277888215992[/C][/ROW]
[ROW][C]0.32[/C][C]92.7879201809285[/C][C]0.267417355885882[/C][/ROW]
[ROW][C]0.33[/C][C]92.8403782021881[/C][C]0.280618834643232[/C][/ROW]
[ROW][C]0.34[/C][C]92.8946421360559[/C][C]0.290997998912184[/C][/ROW]
[ROW][C]0.35[/C][C]92.9502478779686[/C][C]0.298191422417354[/C][/ROW]
[ROW][C]0.36[/C][C]93.006632861342[/C][C]0.301611833203052[/C][/ROW]
[ROW][C]0.37[/C][C]93.0632147000709[/C][C]0.301525388813136[/C][/ROW]
[ROW][C]0.38[/C][C]93.1194663316244[/C][C]0.298662128813333[/C][/ROW]
[ROW][C]0.39[/C][C]93.1749778395869[/C][C]0.293766903907303[/C][/ROW]
[ROW][C]0.4[/C][C]93.2294979712602[/C][C]0.288001948543672[/C][/ROW]
[ROW][C]0.41[/C][C]93.282951904813[/C][C]0.282295025587761[/C][/ROW]
[ROW][C]0.42[/C][C]93.3354354517581[/C][C]0.277870642821961[/C][/ROW]
[ROW][C]0.43[/C][C]93.3871890642233[/C][C]0.275125153763204[/C][/ROW]
[ROW][C]0.44[/C][C]93.4385573475912[/C][C]0.274905214544127[/C][/ROW]
[ROW][C]0.45[/C][C]93.4899410198643[/C][C]0.277071913754895[/C][/ROW]
[ROW][C]0.46[/C][C]93.5417483483475[/C][C]0.281725208160561[/C][/ROW]
[ROW][C]0.47[/C][C]93.5943521420094[/C][C]0.288217970696646[/C][/ROW]
[ROW][C]0.48[/C][C]93.6480566460203[/C][C]0.295910786130306[/C][/ROW]
[ROW][C]0.49[/C][C]93.703076547639[/C][C]0.304592240475025[/C][/ROW]
[ROW][C]0.5[/C][C]93.7595281829955[/C][C]0.313037628118265[/C][/ROW]
[ROW][C]0.51[/C][C]93.8174313215938[/C][C]0.321170092330907[/C][/ROW]
[ROW][C]0.52[/C][C]93.8767188687697[/C][C]0.328570221784246[/C][/ROW]
[ROW][C]0.53[/C][C]93.9372515506003[/C][C]0.33464533170122[/C][/ROW]
[ROW][C]0.54[/C][C]93.9988350127792[/C][C]0.339428771334357[/C][/ROW]
[ROW][C]0.55[/C][C]94.0612374945709[/C][C]0.342614246911176[/C][/ROW]
[ROW][C]0.56[/C][C]94.1242069832438[/C][C]0.344240456209167[/C][/ROW]
[ROW][C]0.57[/C][C]94.1874872188654[/C][C]0.34432542577398[/C][/ROW]
[ROW][C]0.58[/C][C]94.2508319707568[/C][C]0.342781338227846[/C][/ROW]
[ROW][C]0.59[/C][C]94.3140167265095[/C][C]0.340056693951204[/C][/ROW]
[ROW][C]0.6[/C][C]94.3768465907927[/C][C]0.336161438929154[/C][/ROW]
[ROW][C]0.61[/C][C]94.4391591335624[/C][C]0.331354214916477[/C][/ROW]
[ROW][C]0.62[/C][C]94.5008214325399[/C][C]0.325919871721214[/C][/ROW]
[ROW][C]0.63[/C][C]94.561721682932[/C][C]0.319900847261058[/C][/ROW]
[ROW][C]0.64[/C][C]94.6217572670404[/C][C]0.313498375814398[/C][/ROW]
[ROW][C]0.65[/C][C]94.6808226028118[/C][C]0.306637321390128[/C][/ROW]
[ROW][C]0.66[/C][C]94.7388008382553[/C][C]0.29894202706152[/C][/ROW]
[ROW][C]0.67[/C][C]94.7955630665977[/C][C]0.290599498642831[/C][/ROW]
[ROW][C]0.68[/C][C]94.8509770811606[/C][C]0.281251223713062[/C][/ROW]
[ROW][C]0.69[/C][C]94.9049250939797[/C][C]0.271176989958875[/C][/ROW]
[ROW][C]0.7[/C][C]94.9573270261828[/C][C]0.260414087318856[/C][/ROW]
[ROW][C]0.71[/C][C]95.0081638279349[/C][C]0.249568338408503[/C][/ROW]
[ROW][C]0.72[/C][C]95.0574945354518[/C][C]0.238909632714319[/C][/ROW]
[ROW][C]0.73[/C][C]95.1054617135485[/C][C]0.229082945059607[/C][/ROW]
[ROW][C]0.74[/C][C]95.152282290089[/C][C]0.220659570516896[/C][/ROW]
[ROW][C]0.75[/C][C]95.1982238440464[/C][C]0.213753426152438[/C][/ROW]
[ROW][C]0.76[/C][C]95.2435693264023[/C][C]0.20829064656429[/C][/ROW]
[ROW][C]0.77[/C][C]95.2885754064544[/C][C]0.204188854482014[/C][/ROW]
[ROW][C]0.78[/C][C]95.3334310716605[/C][C]0.200935890206282[/C][/ROW]
[ROW][C]0.79[/C][C]95.3782240821742[/C][C]0.1979293214909[/C][/ROW]
[ROW][C]0.8[/C][C]95.4229236621878[/C][C]0.194564029666787[/C][/ROW]
[ROW][C]0.81[/C][C]95.4673880824967[/C][C]0.190190990694118[/C][/ROW]
[ROW][C]0.82[/C][C]95.5114043778539[/C][C]0.184362445870226[/C][/ROW]
[ROW][C]0.83[/C][C]95.554762673083[/C][C]0.177079880160997[/C][/ROW]
[ROW][C]0.84[/C][C]95.5973583639903[/C][C]0.168713457729755[/C][/ROW]
[ROW][C]0.85[/C][C]95.6393026370779[/C][C]0.160202164477621[/C][/ROW]
[ROW][C]0.86[/C][C]95.6810094799833[/C][C]0.153056748076268[/C][/ROW]
[ROW][C]0.87[/C][C]95.7232219987694[/C][C]0.148851902771211[/C][/ROW]
[ROW][C]0.88[/C][C]95.7669490850045[/C][C]0.148750934723522[/C][/ROW]
[ROW][C]0.89[/C][C]95.8133075057254[/C][C]0.152755030186132[/C][/ROW]
[ROW][C]0.9[/C][C]95.8632986365282[/C][C]0.159549602064249[/C][/ROW]
[ROW][C]0.91[/C][C]95.9175811246644[/C][C]0.16693906722437[/C][/ROW]
[ROW][C]0.92[/C][C]95.9763217556909[/C][C]0.17232783895038[/C][/ROW]
[ROW][C]0.93[/C][C]96.0392246582579[/C][C]0.173736981886619[/C][/ROW]
[ROW][C]0.94[/C][C]96.1058755676971[/C][C]0.170050182711026[/C][/ROW]
[ROW][C]0.95[/C][C]96.1765634315393[/C][C]0.161826719717538[/C][/ROW]
[ROW][C]0.96[/C][C]96.2534972857299[/C][C]0.152689299450601[/C][/ROW]
[ROW][C]0.97[/C][C]96.3411844193257[/C][C]0.151468103861751[/C][/ROW]
[ROW][C]0.98[/C][C]96.4424513269946[/C][C]0.170263721990533[/C][/ROW]
[ROW][C]0.99[/C][C]96.5467416198832[/C][C]0.209929523583127[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277209&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277209&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
0.0189.94342887924590.064790673867011
0.0289.99273434085110.11941551042774
0.0390.06687545316850.184404712439212
0.0490.16399888957730.254575155138348
0.0590.28341708040330.337192905254636
0.0690.42552103164340.433537815897555
0.0790.58988394776280.530106231193598
0.0890.7729586737470.606063255927742
0.0990.96719623526810.644438325766587
0.191.16227082552110.638828974908191
0.1191.34764902329520.594882827259617
0.1291.51512835502410.526211153874255
0.1391.66030199175770.449081742820025
0.1491.78265546823250.377514889970762
0.1591.88462909623240.320337824706957
0.1691.97024302940970.280754994825018
0.1792.04381753634420.256854526440004
0.1892.10909350977630.243786715359405
0.1992.16882357972870.236451847174509
0.292.22474757043450.231074984621106
0.2192.27780284501460.225508275483234
0.2292.3284256740440.219177073474643
0.2392.37683936321850.212309656436736
0.2492.42327110347790.206338782367317
0.2592.4680774819020.202563275973934
0.2692.51178371856240.201818372889206
0.2792.55505521713730.205330649526875
0.2892.59862524010070.212821942519616
0.2992.64320260959720.223903008953807
0.392.68938050461360.23774406891703
0.3192.73756295046030.25277888215992
0.3292.78792018092850.267417355885882
0.3392.84037820218810.280618834643232
0.3492.89464213605590.290997998912184
0.3592.95024787796860.298191422417354
0.3693.0066328613420.301611833203052
0.3793.06321470007090.301525388813136
0.3893.11946633162440.298662128813333
0.3993.17497783958690.293766903907303
0.493.22949797126020.288001948543672
0.4193.2829519048130.282295025587761
0.4293.33543545175810.277870642821961
0.4393.38718906422330.275125153763204
0.4493.43855734759120.274905214544127
0.4593.48994101986430.277071913754895
0.4693.54174834834750.281725208160561
0.4793.59435214200940.288217970696646
0.4893.64805664602030.295910786130306
0.4993.7030765476390.304592240475025
0.593.75952818299550.313037628118265
0.5193.81743132159380.321170092330907
0.5293.87671886876970.328570221784246
0.5393.93725155060030.33464533170122
0.5493.99883501277920.339428771334357
0.5594.06123749457090.342614246911176
0.5694.12420698324380.344240456209167
0.5794.18748721886540.34432542577398
0.5894.25083197075680.342781338227846
0.5994.31401672650950.340056693951204
0.694.37684659079270.336161438929154
0.6194.43915913356240.331354214916477
0.6294.50082143253990.325919871721214
0.6394.5617216829320.319900847261058
0.6494.62175726704040.313498375814398
0.6594.68082260281180.306637321390128
0.6694.73880083825530.29894202706152
0.6794.79556306659770.290599498642831
0.6894.85097708116060.281251223713062
0.6994.90492509397970.271176989958875
0.794.95732702618280.260414087318856
0.7195.00816382793490.249568338408503
0.7295.05749453545180.238909632714319
0.7395.10546171354850.229082945059607
0.7495.1522822900890.220659570516896
0.7595.19822384404640.213753426152438
0.7695.24356932640230.20829064656429
0.7795.28857540645440.204188854482014
0.7895.33343107166050.200935890206282
0.7995.37822408217420.1979293214909
0.895.42292366218780.194564029666787
0.8195.46738808249670.190190990694118
0.8295.51140437785390.184362445870226
0.8395.5547626730830.177079880160997
0.8495.59735836399030.168713457729755
0.8595.63930263707790.160202164477621
0.8695.68100947998330.153056748076268
0.8795.72322199876940.148851902771211
0.8895.76694908500450.148750934723522
0.8995.81330750572540.152755030186132
0.995.86329863652820.159549602064249
0.9195.91758112466440.16693906722437
0.9295.97632175569090.17232783895038
0.9396.03922465825790.173736981886619
0.9496.10587556769710.170050182711026
0.9596.17656343153930.161826719717538
0.9696.25349728572990.152689299450601
0.9796.34118441932570.151468103861751
0.9896.44245132699460.170263721990533
0.9996.54674161988320.209929523583127


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.99'
par1 <- '0.01'
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')