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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, 06 Oct 2016 17:23:38 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/06/t14757710395gxpw6v1cwe074u.htm/, Retrieved Sat, 04 May 2024 12:57:22 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 12:57:22 +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 
97.78
97.73
97.61
97.69
97.68
97.67
97.67
97.96
98.27
99.52
99.59
99.75
99.75
99.8
99.99
100.25
100.08
100.08
100.08
100.06
101
101.81
101.82
101.96
101.96
101.93
102.03
102.11
102.07
102.34
102.34
102.33
102.77
103.08
103.38
103.44
99.1
99.15
99.21
99.01
99.08
99.11
100.11
100.31
100.55
101.38
101.49
101.5
100.69
100.8
100.58
100.34
100.38
100.33
101.06
101.15
101.36
101.98
102.24
102.34
101.91
101.8
101.8
101.73
101.8
101.81
102.28
101.7
101.7
102.37
102.43
102.41

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'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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.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]'Gertrude Mary Cox' @ cox.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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0197.62552622409890.0458263191001844
0.0297.64634437796140.0318944991200849
0.0397.66643324374020.0318183546517461
0.0497.68737971051140.053570310660029
0.0597.71510075551360.0960176601849152
0.0697.75620506580280.158112012635601
0.0797.81611184461050.236589797011709
0.0897.89806766895520.323709893696667
0.0998.00248198771170.408362537885449
0.198.12668145119250.478488731961014
0.1198.26531260942120.524772571409386
0.1298.41138395591140.542699395038196
0.1398.55766032649990.533779928832133
0.1498.69799178923920.504427732845731
0.1598.82821568985860.463917543084635
0.1698.9464560565230.421768519629281
0.1799.05285913469190.385518335781134
0.1899.14895996475160.359207174347519
0.1999.23693093550010.343089835881733
0.299.31892702972970.334653826218
0.2199.39665314664090.330130166178004
0.2299.47118169579420.326286448278418
0.2399.54297623230440.320847404765308
0.2499.61204217163540.312699611084318
0.2599.6781247238390.301469570474158
0.2699.74089424830730.287876095917257
0.2799.80008615478950.272806562985709
0.2899.85558596412380.257049910643627
0.2999.90746535846670.242079639649822
0.399.95598179112090.228309079970442
0.31100.0015549090930.217003648945193
0.32100.0447307009520.208639761391959
0.33100.0861412445760.203648813689593
0.34100.1264653514880.202061418240958
0.35100.1663934797910.204266522918046
0.36100.2065987505170.209779901343217
0.37100.2477144972130.218396723637727
0.38100.2903174972810.229910191914486
0.39100.3349150933930.243807677808383
0.4100.3819340805830.259755628210039
0.41100.4317096313790.277060413456441
0.42100.4844735358090.295367086065449
0.43100.5403423089760.313841348526388
0.44100.5993068418140.331991391362598
0.45100.6612258821480.348671751132434
0.46100.7258255557630.363351859319939
0.47100.7927064128520.375292548037815
0.48100.8613583377130.384021489833253
0.49100.9311824074460.388982476785451
0.5101.0015177430910.389956267817568
0.51101.071670793880.386986121023658
0.52101.1409444323040.380069960801293
0.53101.2086646775050.369468618569795
0.54101.2742036560520.355497408017615
0.55101.3369983302980.338525426271542
0.56101.3965653358120.319110802064737
0.57101.4525127680860.297848799756109
0.58101.504549826630.275159477571608
0.59101.5524948584080.251788734749862
0.6101.5962816621540.228175188623888
0.61101.6359631410340.205037865039979
0.62101.6717107964480.183117373242871
0.63101.7038083955470.162778002755276
0.64101.732638581210.144811985616374
0.65101.7586622315560.129410497549722
0.66101.7823918354710.117113776301345
0.67101.8043616797710.107733682901389
0.68101.8250987911210.101538868869242
0.69101.8450989049620.0978189609123281
0.7101.8648109597370.0963846627808264
0.71101.8846317257420.0965900894957075
0.72101.9049095002530.0983130050332897
0.73101.9259529736630.101248588161366
0.74101.9480392223510.105241974079725
0.75101.9714141210990.110169478370633
0.76101.9962798381040.115996090487809
0.77102.0227675517210.122326417005934
0.78102.050898585830.128479689769112
0.79102.0805426964010.133812623624756
0.8102.1113867554790.137381935845032
0.81102.1429290282960.138273801911574
0.82102.1745125309510.135766238924519
0.83102.2054054873030.129653335653572
0.84102.2349289651980.120242566993579
0.85102.2626239991370.108508421567666
0.86102.2884459598220.0960629520036633
0.87102.3129740213260.0852642715375156
0.88102.3376251840130.0792706408286174
0.89102.3648558534170.0820957353843951
0.9102.3983058136690.0974449383759766
0.91102.4427818777860.127523498712452
0.92102.5039056877330.171873008608384
0.93102.5872084897780.226967040220669
0.94102.696513618010.284512607225419
0.95102.8316666793830.331142300324749
0.96102.9860906082980.349852103786666
0.97103.1452494303920.32414506095955
0.98103.2877151757160.246649840501807
0.99103.3906007201450.136772280137815

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 97.6255262240989 & 0.0458263191001844 \tabularnewline
0.02 & 97.6463443779614 & 0.0318944991200849 \tabularnewline
0.03 & 97.6664332437402 & 0.0318183546517461 \tabularnewline
0.04 & 97.6873797105114 & 0.053570310660029 \tabularnewline
0.05 & 97.7151007555136 & 0.0960176601849152 \tabularnewline
0.06 & 97.7562050658028 & 0.158112012635601 \tabularnewline
0.07 & 97.8161118446105 & 0.236589797011709 \tabularnewline
0.08 & 97.8980676689552 & 0.323709893696667 \tabularnewline
0.09 & 98.0024819877117 & 0.408362537885449 \tabularnewline
0.1 & 98.1266814511925 & 0.478488731961014 \tabularnewline
0.11 & 98.2653126094212 & 0.524772571409386 \tabularnewline
0.12 & 98.4113839559114 & 0.542699395038196 \tabularnewline
0.13 & 98.5576603264999 & 0.533779928832133 \tabularnewline
0.14 & 98.6979917892392 & 0.504427732845731 \tabularnewline
0.15 & 98.8282156898586 & 0.463917543084635 \tabularnewline
0.16 & 98.946456056523 & 0.421768519629281 \tabularnewline
0.17 & 99.0528591346919 & 0.385518335781134 \tabularnewline
0.18 & 99.1489599647516 & 0.359207174347519 \tabularnewline
0.19 & 99.2369309355001 & 0.343089835881733 \tabularnewline
0.2 & 99.3189270297297 & 0.334653826218 \tabularnewline
0.21 & 99.3966531466409 & 0.330130166178004 \tabularnewline
0.22 & 99.4711816957942 & 0.326286448278418 \tabularnewline
0.23 & 99.5429762323044 & 0.320847404765308 \tabularnewline
0.24 & 99.6120421716354 & 0.312699611084318 \tabularnewline
0.25 & 99.678124723839 & 0.301469570474158 \tabularnewline
0.26 & 99.7408942483073 & 0.287876095917257 \tabularnewline
0.27 & 99.8000861547895 & 0.272806562985709 \tabularnewline
0.28 & 99.8555859641238 & 0.257049910643627 \tabularnewline
0.29 & 99.9074653584667 & 0.242079639649822 \tabularnewline
0.3 & 99.9559817911209 & 0.228309079970442 \tabularnewline
0.31 & 100.001554909093 & 0.217003648945193 \tabularnewline
0.32 & 100.044730700952 & 0.208639761391959 \tabularnewline
0.33 & 100.086141244576 & 0.203648813689593 \tabularnewline
0.34 & 100.126465351488 & 0.202061418240958 \tabularnewline
0.35 & 100.166393479791 & 0.204266522918046 \tabularnewline
0.36 & 100.206598750517 & 0.209779901343217 \tabularnewline
0.37 & 100.247714497213 & 0.218396723637727 \tabularnewline
0.38 & 100.290317497281 & 0.229910191914486 \tabularnewline
0.39 & 100.334915093393 & 0.243807677808383 \tabularnewline
0.4 & 100.381934080583 & 0.259755628210039 \tabularnewline
0.41 & 100.431709631379 & 0.277060413456441 \tabularnewline
0.42 & 100.484473535809 & 0.295367086065449 \tabularnewline
0.43 & 100.540342308976 & 0.313841348526388 \tabularnewline
0.44 & 100.599306841814 & 0.331991391362598 \tabularnewline
0.45 & 100.661225882148 & 0.348671751132434 \tabularnewline
0.46 & 100.725825555763 & 0.363351859319939 \tabularnewline
0.47 & 100.792706412852 & 0.375292548037815 \tabularnewline
0.48 & 100.861358337713 & 0.384021489833253 \tabularnewline
0.49 & 100.931182407446 & 0.388982476785451 \tabularnewline
0.5 & 101.001517743091 & 0.389956267817568 \tabularnewline
0.51 & 101.07167079388 & 0.386986121023658 \tabularnewline
0.52 & 101.140944432304 & 0.380069960801293 \tabularnewline
0.53 & 101.208664677505 & 0.369468618569795 \tabularnewline
0.54 & 101.274203656052 & 0.355497408017615 \tabularnewline
0.55 & 101.336998330298 & 0.338525426271542 \tabularnewline
0.56 & 101.396565335812 & 0.319110802064737 \tabularnewline
0.57 & 101.452512768086 & 0.297848799756109 \tabularnewline
0.58 & 101.50454982663 & 0.275159477571608 \tabularnewline
0.59 & 101.552494858408 & 0.251788734749862 \tabularnewline
0.6 & 101.596281662154 & 0.228175188623888 \tabularnewline
0.61 & 101.635963141034 & 0.205037865039979 \tabularnewline
0.62 & 101.671710796448 & 0.183117373242871 \tabularnewline
0.63 & 101.703808395547 & 0.162778002755276 \tabularnewline
0.64 & 101.73263858121 & 0.144811985616374 \tabularnewline
0.65 & 101.758662231556 & 0.129410497549722 \tabularnewline
0.66 & 101.782391835471 & 0.117113776301345 \tabularnewline
0.67 & 101.804361679771 & 0.107733682901389 \tabularnewline
0.68 & 101.825098791121 & 0.101538868869242 \tabularnewline
0.69 & 101.845098904962 & 0.0978189609123281 \tabularnewline
0.7 & 101.864810959737 & 0.0963846627808264 \tabularnewline
0.71 & 101.884631725742 & 0.0965900894957075 \tabularnewline
0.72 & 101.904909500253 & 0.0983130050332897 \tabularnewline
0.73 & 101.925952973663 & 0.101248588161366 \tabularnewline
0.74 & 101.948039222351 & 0.105241974079725 \tabularnewline
0.75 & 101.971414121099 & 0.110169478370633 \tabularnewline
0.76 & 101.996279838104 & 0.115996090487809 \tabularnewline
0.77 & 102.022767551721 & 0.122326417005934 \tabularnewline
0.78 & 102.05089858583 & 0.128479689769112 \tabularnewline
0.79 & 102.080542696401 & 0.133812623624756 \tabularnewline
0.8 & 102.111386755479 & 0.137381935845032 \tabularnewline
0.81 & 102.142929028296 & 0.138273801911574 \tabularnewline
0.82 & 102.174512530951 & 0.135766238924519 \tabularnewline
0.83 & 102.205405487303 & 0.129653335653572 \tabularnewline
0.84 & 102.234928965198 & 0.120242566993579 \tabularnewline
0.85 & 102.262623999137 & 0.108508421567666 \tabularnewline
0.86 & 102.288445959822 & 0.0960629520036633 \tabularnewline
0.87 & 102.312974021326 & 0.0852642715375156 \tabularnewline
0.88 & 102.337625184013 & 0.0792706408286174 \tabularnewline
0.89 & 102.364855853417 & 0.0820957353843951 \tabularnewline
0.9 & 102.398305813669 & 0.0974449383759766 \tabularnewline
0.91 & 102.442781877786 & 0.127523498712452 \tabularnewline
0.92 & 102.503905687733 & 0.171873008608384 \tabularnewline
0.93 & 102.587208489778 & 0.226967040220669 \tabularnewline
0.94 & 102.69651361801 & 0.284512607225419 \tabularnewline
0.95 & 102.831666679383 & 0.331142300324749 \tabularnewline
0.96 & 102.986090608298 & 0.349852103786666 \tabularnewline
0.97 & 103.145249430392 & 0.32414506095955 \tabularnewline
0.98 & 103.287715175716 & 0.246649840501807 \tabularnewline
0.99 & 103.390600720145 & 0.136772280137815 \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]97.6255262240989[/C][C]0.0458263191001844[/C][/ROW]
[ROW][C]0.02[/C][C]97.6463443779614[/C][C]0.0318944991200849[/C][/ROW]
[ROW][C]0.03[/C][C]97.6664332437402[/C][C]0.0318183546517461[/C][/ROW]
[ROW][C]0.04[/C][C]97.6873797105114[/C][C]0.053570310660029[/C][/ROW]
[ROW][C]0.05[/C][C]97.7151007555136[/C][C]0.0960176601849152[/C][/ROW]
[ROW][C]0.06[/C][C]97.7562050658028[/C][C]0.158112012635601[/C][/ROW]
[ROW][C]0.07[/C][C]97.8161118446105[/C][C]0.236589797011709[/C][/ROW]
[ROW][C]0.08[/C][C]97.8980676689552[/C][C]0.323709893696667[/C][/ROW]
[ROW][C]0.09[/C][C]98.0024819877117[/C][C]0.408362537885449[/C][/ROW]
[ROW][C]0.1[/C][C]98.1266814511925[/C][C]0.478488731961014[/C][/ROW]
[ROW][C]0.11[/C][C]98.2653126094212[/C][C]0.524772571409386[/C][/ROW]
[ROW][C]0.12[/C][C]98.4113839559114[/C][C]0.542699395038196[/C][/ROW]
[ROW][C]0.13[/C][C]98.5576603264999[/C][C]0.533779928832133[/C][/ROW]
[ROW][C]0.14[/C][C]98.6979917892392[/C][C]0.504427732845731[/C][/ROW]
[ROW][C]0.15[/C][C]98.8282156898586[/C][C]0.463917543084635[/C][/ROW]
[ROW][C]0.16[/C][C]98.946456056523[/C][C]0.421768519629281[/C][/ROW]
[ROW][C]0.17[/C][C]99.0528591346919[/C][C]0.385518335781134[/C][/ROW]
[ROW][C]0.18[/C][C]99.1489599647516[/C][C]0.359207174347519[/C][/ROW]
[ROW][C]0.19[/C][C]99.2369309355001[/C][C]0.343089835881733[/C][/ROW]
[ROW][C]0.2[/C][C]99.3189270297297[/C][C]0.334653826218[/C][/ROW]
[ROW][C]0.21[/C][C]99.3966531466409[/C][C]0.330130166178004[/C][/ROW]
[ROW][C]0.22[/C][C]99.4711816957942[/C][C]0.326286448278418[/C][/ROW]
[ROW][C]0.23[/C][C]99.5429762323044[/C][C]0.320847404765308[/C][/ROW]
[ROW][C]0.24[/C][C]99.6120421716354[/C][C]0.312699611084318[/C][/ROW]
[ROW][C]0.25[/C][C]99.678124723839[/C][C]0.301469570474158[/C][/ROW]
[ROW][C]0.26[/C][C]99.7408942483073[/C][C]0.287876095917257[/C][/ROW]
[ROW][C]0.27[/C][C]99.8000861547895[/C][C]0.272806562985709[/C][/ROW]
[ROW][C]0.28[/C][C]99.8555859641238[/C][C]0.257049910643627[/C][/ROW]
[ROW][C]0.29[/C][C]99.9074653584667[/C][C]0.242079639649822[/C][/ROW]
[ROW][C]0.3[/C][C]99.9559817911209[/C][C]0.228309079970442[/C][/ROW]
[ROW][C]0.31[/C][C]100.001554909093[/C][C]0.217003648945193[/C][/ROW]
[ROW][C]0.32[/C][C]100.044730700952[/C][C]0.208639761391959[/C][/ROW]
[ROW][C]0.33[/C][C]100.086141244576[/C][C]0.203648813689593[/C][/ROW]
[ROW][C]0.34[/C][C]100.126465351488[/C][C]0.202061418240958[/C][/ROW]
[ROW][C]0.35[/C][C]100.166393479791[/C][C]0.204266522918046[/C][/ROW]
[ROW][C]0.36[/C][C]100.206598750517[/C][C]0.209779901343217[/C][/ROW]
[ROW][C]0.37[/C][C]100.247714497213[/C][C]0.218396723637727[/C][/ROW]
[ROW][C]0.38[/C][C]100.290317497281[/C][C]0.229910191914486[/C][/ROW]
[ROW][C]0.39[/C][C]100.334915093393[/C][C]0.243807677808383[/C][/ROW]
[ROW][C]0.4[/C][C]100.381934080583[/C][C]0.259755628210039[/C][/ROW]
[ROW][C]0.41[/C][C]100.431709631379[/C][C]0.277060413456441[/C][/ROW]
[ROW][C]0.42[/C][C]100.484473535809[/C][C]0.295367086065449[/C][/ROW]
[ROW][C]0.43[/C][C]100.540342308976[/C][C]0.313841348526388[/C][/ROW]
[ROW][C]0.44[/C][C]100.599306841814[/C][C]0.331991391362598[/C][/ROW]
[ROW][C]0.45[/C][C]100.661225882148[/C][C]0.348671751132434[/C][/ROW]
[ROW][C]0.46[/C][C]100.725825555763[/C][C]0.363351859319939[/C][/ROW]
[ROW][C]0.47[/C][C]100.792706412852[/C][C]0.375292548037815[/C][/ROW]
[ROW][C]0.48[/C][C]100.861358337713[/C][C]0.384021489833253[/C][/ROW]
[ROW][C]0.49[/C][C]100.931182407446[/C][C]0.388982476785451[/C][/ROW]
[ROW][C]0.5[/C][C]101.001517743091[/C][C]0.389956267817568[/C][/ROW]
[ROW][C]0.51[/C][C]101.07167079388[/C][C]0.386986121023658[/C][/ROW]
[ROW][C]0.52[/C][C]101.140944432304[/C][C]0.380069960801293[/C][/ROW]
[ROW][C]0.53[/C][C]101.208664677505[/C][C]0.369468618569795[/C][/ROW]
[ROW][C]0.54[/C][C]101.274203656052[/C][C]0.355497408017615[/C][/ROW]
[ROW][C]0.55[/C][C]101.336998330298[/C][C]0.338525426271542[/C][/ROW]
[ROW][C]0.56[/C][C]101.396565335812[/C][C]0.319110802064737[/C][/ROW]
[ROW][C]0.57[/C][C]101.452512768086[/C][C]0.297848799756109[/C][/ROW]
[ROW][C]0.58[/C][C]101.50454982663[/C][C]0.275159477571608[/C][/ROW]
[ROW][C]0.59[/C][C]101.552494858408[/C][C]0.251788734749862[/C][/ROW]
[ROW][C]0.6[/C][C]101.596281662154[/C][C]0.228175188623888[/C][/ROW]
[ROW][C]0.61[/C][C]101.635963141034[/C][C]0.205037865039979[/C][/ROW]
[ROW][C]0.62[/C][C]101.671710796448[/C][C]0.183117373242871[/C][/ROW]
[ROW][C]0.63[/C][C]101.703808395547[/C][C]0.162778002755276[/C][/ROW]
[ROW][C]0.64[/C][C]101.73263858121[/C][C]0.144811985616374[/C][/ROW]
[ROW][C]0.65[/C][C]101.758662231556[/C][C]0.129410497549722[/C][/ROW]
[ROW][C]0.66[/C][C]101.782391835471[/C][C]0.117113776301345[/C][/ROW]
[ROW][C]0.67[/C][C]101.804361679771[/C][C]0.107733682901389[/C][/ROW]
[ROW][C]0.68[/C][C]101.825098791121[/C][C]0.101538868869242[/C][/ROW]
[ROW][C]0.69[/C][C]101.845098904962[/C][C]0.0978189609123281[/C][/ROW]
[ROW][C]0.7[/C][C]101.864810959737[/C][C]0.0963846627808264[/C][/ROW]
[ROW][C]0.71[/C][C]101.884631725742[/C][C]0.0965900894957075[/C][/ROW]
[ROW][C]0.72[/C][C]101.904909500253[/C][C]0.0983130050332897[/C][/ROW]
[ROW][C]0.73[/C][C]101.925952973663[/C][C]0.101248588161366[/C][/ROW]
[ROW][C]0.74[/C][C]101.948039222351[/C][C]0.105241974079725[/C][/ROW]
[ROW][C]0.75[/C][C]101.971414121099[/C][C]0.110169478370633[/C][/ROW]
[ROW][C]0.76[/C][C]101.996279838104[/C][C]0.115996090487809[/C][/ROW]
[ROW][C]0.77[/C][C]102.022767551721[/C][C]0.122326417005934[/C][/ROW]
[ROW][C]0.78[/C][C]102.05089858583[/C][C]0.128479689769112[/C][/ROW]
[ROW][C]0.79[/C][C]102.080542696401[/C][C]0.133812623624756[/C][/ROW]
[ROW][C]0.8[/C][C]102.111386755479[/C][C]0.137381935845032[/C][/ROW]
[ROW][C]0.81[/C][C]102.142929028296[/C][C]0.138273801911574[/C][/ROW]
[ROW][C]0.82[/C][C]102.174512530951[/C][C]0.135766238924519[/C][/ROW]
[ROW][C]0.83[/C][C]102.205405487303[/C][C]0.129653335653572[/C][/ROW]
[ROW][C]0.84[/C][C]102.234928965198[/C][C]0.120242566993579[/C][/ROW]
[ROW][C]0.85[/C][C]102.262623999137[/C][C]0.108508421567666[/C][/ROW]
[ROW][C]0.86[/C][C]102.288445959822[/C][C]0.0960629520036633[/C][/ROW]
[ROW][C]0.87[/C][C]102.312974021326[/C][C]0.0852642715375156[/C][/ROW]
[ROW][C]0.88[/C][C]102.337625184013[/C][C]0.0792706408286174[/C][/ROW]
[ROW][C]0.89[/C][C]102.364855853417[/C][C]0.0820957353843951[/C][/ROW]
[ROW][C]0.9[/C][C]102.398305813669[/C][C]0.0974449383759766[/C][/ROW]
[ROW][C]0.91[/C][C]102.442781877786[/C][C]0.127523498712452[/C][/ROW]
[ROW][C]0.92[/C][C]102.503905687733[/C][C]0.171873008608384[/C][/ROW]
[ROW][C]0.93[/C][C]102.587208489778[/C][C]0.226967040220669[/C][/ROW]
[ROW][C]0.94[/C][C]102.69651361801[/C][C]0.284512607225419[/C][/ROW]
[ROW][C]0.95[/C][C]102.831666679383[/C][C]0.331142300324749[/C][/ROW]
[ROW][C]0.96[/C][C]102.986090608298[/C][C]0.349852103786666[/C][/ROW]
[ROW][C]0.97[/C][C]103.145249430392[/C][C]0.32414506095955[/C][/ROW]
[ROW][C]0.98[/C][C]103.287715175716[/C][C]0.246649840501807[/C][/ROW]
[ROW][C]0.99[/C][C]103.390600720145[/C][C]0.136772280137815[/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
0.0197.62552622409890.0458263191001844
0.0297.64634437796140.0318944991200849
0.0397.66643324374020.0318183546517461
0.0497.68737971051140.053570310660029
0.0597.71510075551360.0960176601849152
0.0697.75620506580280.158112012635601
0.0797.81611184461050.236589797011709
0.0897.89806766895520.323709893696667
0.0998.00248198771170.408362537885449
0.198.12668145119250.478488731961014
0.1198.26531260942120.524772571409386
0.1298.41138395591140.542699395038196
0.1398.55766032649990.533779928832133
0.1498.69799178923920.504427732845731
0.1598.82821568985860.463917543084635
0.1698.9464560565230.421768519629281
0.1799.05285913469190.385518335781134
0.1899.14895996475160.359207174347519
0.1999.23693093550010.343089835881733
0.299.31892702972970.334653826218
0.2199.39665314664090.330130166178004
0.2299.47118169579420.326286448278418
0.2399.54297623230440.320847404765308
0.2499.61204217163540.312699611084318
0.2599.6781247238390.301469570474158
0.2699.74089424830730.287876095917257
0.2799.80008615478950.272806562985709
0.2899.85558596412380.257049910643627
0.2999.90746535846670.242079639649822
0.399.95598179112090.228309079970442
0.31100.0015549090930.217003648945193
0.32100.0447307009520.208639761391959
0.33100.0861412445760.203648813689593
0.34100.1264653514880.202061418240958
0.35100.1663934797910.204266522918046
0.36100.2065987505170.209779901343217
0.37100.2477144972130.218396723637727
0.38100.2903174972810.229910191914486
0.39100.3349150933930.243807677808383
0.4100.3819340805830.259755628210039
0.41100.4317096313790.277060413456441
0.42100.4844735358090.295367086065449
0.43100.5403423089760.313841348526388
0.44100.5993068418140.331991391362598
0.45100.6612258821480.348671751132434
0.46100.7258255557630.363351859319939
0.47100.7927064128520.375292548037815
0.48100.8613583377130.384021489833253
0.49100.9311824074460.388982476785451
0.5101.0015177430910.389956267817568
0.51101.071670793880.386986121023658
0.52101.1409444323040.380069960801293
0.53101.2086646775050.369468618569795
0.54101.2742036560520.355497408017615
0.55101.3369983302980.338525426271542
0.56101.3965653358120.319110802064737
0.57101.4525127680860.297848799756109
0.58101.504549826630.275159477571608
0.59101.5524948584080.251788734749862
0.6101.5962816621540.228175188623888
0.61101.6359631410340.205037865039979
0.62101.6717107964480.183117373242871
0.63101.7038083955470.162778002755276
0.64101.732638581210.144811985616374
0.65101.7586622315560.129410497549722
0.66101.7823918354710.117113776301345
0.67101.8043616797710.107733682901389
0.68101.8250987911210.101538868869242
0.69101.8450989049620.0978189609123281
0.7101.8648109597370.0963846627808264
0.71101.8846317257420.0965900894957075
0.72101.9049095002530.0983130050332897
0.73101.9259529736630.101248588161366
0.74101.9480392223510.105241974079725
0.75101.9714141210990.110169478370633
0.76101.9962798381040.115996090487809
0.77102.0227675517210.122326417005934
0.78102.050898585830.128479689769112
0.79102.0805426964010.133812623624756
0.8102.1113867554790.137381935845032
0.81102.1429290282960.138273801911574
0.82102.1745125309510.135766238924519
0.83102.2054054873030.129653335653572
0.84102.2349289651980.120242566993579
0.85102.2626239991370.108508421567666
0.86102.2884459598220.0960629520036633
0.87102.3129740213260.0852642715375156
0.88102.3376251840130.0792706408286174
0.89102.3648558534170.0820957353843951
0.9102.3983058136690.0974449383759766
0.91102.4427818777860.127523498712452
0.92102.5039056877330.171873008608384
0.93102.5872084897780.226967040220669
0.94102.696513618010.284512607225419
0.95102.8316666793830.331142300324749
0.96102.9860906082980.349852103786666
0.97103.1452494303920.32414506095955
0.98103.2877151757160.246649840501807
0.99103.3906007201450.136772280137815


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')