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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 computationMon, 20 Feb 2012 05:23:01 -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/20/t1329733501upyyo476y82otuw.htm/, Retrieved Sat, 04 May 2024 03:18:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162859, Retrieved Sat, 04 May 2024 03:18:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact214

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] [Gem consumptiepri...] [2012-02-20 10:23:01] [5a3c3333b811c6fc66e83f7a2504093f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
18.49
18.07
17.8
17.88
18.12
18.68
18.8
19.64
19.56
19.3
20.07
19.82
20.29
19.36
18.74
18.87
18.87
18.91
19.31
20.06
20.72
20.42
20.58
20.58
21.18
19.87
19.83
19.48
19.49
19.4
19.89
20.44
20.07
19.75
19.54
19.07
19.55
18.01
17.5
17.41
17.47
17.6
17.64
18.3
18.27
17.99
18.04
17.62
18.22
17.67
17.73
17.99
18.15
18.41
18.36
19.52
19.96
19.6
19.48
19.13

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'AstonUniversity' @ aston.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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162859&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162859&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162859&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'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0117.42566867563520.056372623075682
0.0217.45074041494470.0573738185024537
0.0317.48018112013850.0632846489847028
0.0417.51068584089870.0700180355550827
0.0517.54074121963010.0744444988810462
0.0617.569814581440.0767785815722043
0.0717.59788938769180.0791795307556611
0.0817.62531239270560.0838404756098722
0.0917.65266856132360.09151705597231
0.117.68058916807630.101493299308964
0.1117.70955153171490.112243944551873
0.1217.7397485239560.122205802368304
0.1317.77105972470130.130119644360309
0.1417.8031098160040.135197878037151
0.1517.83537739614230.137276033583212
0.1617.86731593386910.136597530819944
0.1717.89845797386130.133890158615338
0.1817.92848607789360.130041502441642
0.1917.95726527179750.126104981449981
0.217.98484038339670.122979202368801
0.2118.01140715164820.121318942819642
0.2218.03726840095780.121565009142541
0.2318.06278628541880.12382405371242
0.2418.08833930934620.127986554950356
0.2518.11428943377990.133846188233279
0.2618.14096102516060.141116107090808
0.2718.16863046646640.149532741223608
0.2818.19752340586320.158897224478667
0.2918.22781599801710.169013940661947
0.318.25963694236090.179693189826763
0.3118.29306829131860.190741850676828
0.3218.32814445832570.201908629530262
0.3318.36485018668520.212814488354957
0.3418.40311912536050.223192519320049
0.3518.44283491720650.232647479198353
0.3618.48383631946650.240856938166128
0.3718.52592697703690.247680762242658
0.3818.56888930209250.252950319822929
0.3918.6125007819550.256712072681584
0.418.65655023060490.259135772150637
0.4118.70085122852440.260452024670333
0.4218.7452503430810.260955799686624
0.4318.78962862332320.260924850248078
0.4418.83389612479690.260577329131422
0.4518.87798056540730.260005110247988
0.4618.92181235033970.25911797919427
0.4718.96530889343780.257790195817525
0.4819.00836127156760.255692700821413
0.4919.05082577694050.252562599093605
0.519.09252200477030.248073618058366
0.5119.13323794322370.242013760767743
0.5219.17274136627270.234275151459926
0.5319.21079588994330.224901781742158
0.5419.24717948874430.213987024952526
0.5519.28170313447370.201894782953521
0.5619.31422746978140.188946742783153
0.5719.34467594573160.175592189093295
0.5819.37304348226940.162292223347173
0.5919.39940030480840.149505485466216
0.619.42389106146290.137716797191585
0.6119.44672958718830.127328330066738
0.6219.46818977131270.118690421595539
0.6319.48859297372260.112130506807058
0.6419.50829241996380.107818610721724
0.6519.5276550812120.105824769124582
0.6619.54704177198130.10608172219379
0.6719.566786578730.108306686301855
0.6819.58717719800570.112100559650315
0.6919.60843818105130.116947128502218
0.719.63071928363750.122317965267368
0.7119.65409094661790.127643539004977
0.7219.67854829503710.132441950582239
0.7319.70402397528640.136350914459129
0.7419.73040883303890.139168888571328
0.7519.75757817548760.140856672342466
0.7619.78542050353820.141585193046605
0.7719.8138653899170.141653261013468
0.7819.84290762770740.141459849571525
0.7919.87262557940890.141472970657299
0.819.90319227277050.142152694163713
0.8119.93487766977840.143900826776096
0.8219.96803950880010.147096676035868
0.8320.0030987377540.15197302654715
0.8420.04049515611590.158591586762019
0.8520.0806211636530.166646885461198
0.8620.12373762435340.175381228329507
0.8720.16988541048930.183554394281534
0.8820.21881696123650.189605274117811
0.8920.26998116454620.191975903949007
0.920.32260068254070.189544979111764
0.9120.37588595291070.182008109560454
0.9220.42943896493330.170268868106678
0.9320.4839060460690.15671984828359
0.9420.54189086711260.145916059413273
0.9520.60888729094240.145565850631189
0.9620.69329512793720.166293881735931
0.9720.80343777339830.216688894049285
0.9820.93915523534660.295581655036668
0.9921.07955417433930.385521329727728

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 17.4256686756352 & 0.056372623075682 \tabularnewline
0.02 & 17.4507404149447 & 0.0573738185024537 \tabularnewline
0.03 & 17.4801811201385 & 0.0632846489847028 \tabularnewline
0.04 & 17.5106858408987 & 0.0700180355550827 \tabularnewline
0.05 & 17.5407412196301 & 0.0744444988810462 \tabularnewline
0.06 & 17.56981458144 & 0.0767785815722043 \tabularnewline
0.07 & 17.5978893876918 & 0.0791795307556611 \tabularnewline
0.08 & 17.6253123927056 & 0.0838404756098722 \tabularnewline
0.09 & 17.6526685613236 & 0.09151705597231 \tabularnewline
0.1 & 17.6805891680763 & 0.101493299308964 \tabularnewline
0.11 & 17.7095515317149 & 0.112243944551873 \tabularnewline
0.12 & 17.739748523956 & 0.122205802368304 \tabularnewline
0.13 & 17.7710597247013 & 0.130119644360309 \tabularnewline
0.14 & 17.803109816004 & 0.135197878037151 \tabularnewline
0.15 & 17.8353773961423 & 0.137276033583212 \tabularnewline
0.16 & 17.8673159338691 & 0.136597530819944 \tabularnewline
0.17 & 17.8984579738613 & 0.133890158615338 \tabularnewline
0.18 & 17.9284860778936 & 0.130041502441642 \tabularnewline
0.19 & 17.9572652717975 & 0.126104981449981 \tabularnewline
0.2 & 17.9848403833967 & 0.122979202368801 \tabularnewline
0.21 & 18.0114071516482 & 0.121318942819642 \tabularnewline
0.22 & 18.0372684009578 & 0.121565009142541 \tabularnewline
0.23 & 18.0627862854188 & 0.12382405371242 \tabularnewline
0.24 & 18.0883393093462 & 0.127986554950356 \tabularnewline
0.25 & 18.1142894337799 & 0.133846188233279 \tabularnewline
0.26 & 18.1409610251606 & 0.141116107090808 \tabularnewline
0.27 & 18.1686304664664 & 0.149532741223608 \tabularnewline
0.28 & 18.1975234058632 & 0.158897224478667 \tabularnewline
0.29 & 18.2278159980171 & 0.169013940661947 \tabularnewline
0.3 & 18.2596369423609 & 0.179693189826763 \tabularnewline
0.31 & 18.2930682913186 & 0.190741850676828 \tabularnewline
0.32 & 18.3281444583257 & 0.201908629530262 \tabularnewline
0.33 & 18.3648501866852 & 0.212814488354957 \tabularnewline
0.34 & 18.4031191253605 & 0.223192519320049 \tabularnewline
0.35 & 18.4428349172065 & 0.232647479198353 \tabularnewline
0.36 & 18.4838363194665 & 0.240856938166128 \tabularnewline
0.37 & 18.5259269770369 & 0.247680762242658 \tabularnewline
0.38 & 18.5688893020925 & 0.252950319822929 \tabularnewline
0.39 & 18.612500781955 & 0.256712072681584 \tabularnewline
0.4 & 18.6565502306049 & 0.259135772150637 \tabularnewline
0.41 & 18.7008512285244 & 0.260452024670333 \tabularnewline
0.42 & 18.745250343081 & 0.260955799686624 \tabularnewline
0.43 & 18.7896286233232 & 0.260924850248078 \tabularnewline
0.44 & 18.8338961247969 & 0.260577329131422 \tabularnewline
0.45 & 18.8779805654073 & 0.260005110247988 \tabularnewline
0.46 & 18.9218123503397 & 0.25911797919427 \tabularnewline
0.47 & 18.9653088934378 & 0.257790195817525 \tabularnewline
0.48 & 19.0083612715676 & 0.255692700821413 \tabularnewline
0.49 & 19.0508257769405 & 0.252562599093605 \tabularnewline
0.5 & 19.0925220047703 & 0.248073618058366 \tabularnewline
0.51 & 19.1332379432237 & 0.242013760767743 \tabularnewline
0.52 & 19.1727413662727 & 0.234275151459926 \tabularnewline
0.53 & 19.2107958899433 & 0.224901781742158 \tabularnewline
0.54 & 19.2471794887443 & 0.213987024952526 \tabularnewline
0.55 & 19.2817031344737 & 0.201894782953521 \tabularnewline
0.56 & 19.3142274697814 & 0.188946742783153 \tabularnewline
0.57 & 19.3446759457316 & 0.175592189093295 \tabularnewline
0.58 & 19.3730434822694 & 0.162292223347173 \tabularnewline
0.59 & 19.3994003048084 & 0.149505485466216 \tabularnewline
0.6 & 19.4238910614629 & 0.137716797191585 \tabularnewline
0.61 & 19.4467295871883 & 0.127328330066738 \tabularnewline
0.62 & 19.4681897713127 & 0.118690421595539 \tabularnewline
0.63 & 19.4885929737226 & 0.112130506807058 \tabularnewline
0.64 & 19.5082924199638 & 0.107818610721724 \tabularnewline
0.65 & 19.527655081212 & 0.105824769124582 \tabularnewline
0.66 & 19.5470417719813 & 0.10608172219379 \tabularnewline
0.67 & 19.56678657873 & 0.108306686301855 \tabularnewline
0.68 & 19.5871771980057 & 0.112100559650315 \tabularnewline
0.69 & 19.6084381810513 & 0.116947128502218 \tabularnewline
0.7 & 19.6307192836375 & 0.122317965267368 \tabularnewline
0.71 & 19.6540909466179 & 0.127643539004977 \tabularnewline
0.72 & 19.6785482950371 & 0.132441950582239 \tabularnewline
0.73 & 19.7040239752864 & 0.136350914459129 \tabularnewline
0.74 & 19.7304088330389 & 0.139168888571328 \tabularnewline
0.75 & 19.7575781754876 & 0.140856672342466 \tabularnewline
0.76 & 19.7854205035382 & 0.141585193046605 \tabularnewline
0.77 & 19.813865389917 & 0.141653261013468 \tabularnewline
0.78 & 19.8429076277074 & 0.141459849571525 \tabularnewline
0.79 & 19.8726255794089 & 0.141472970657299 \tabularnewline
0.8 & 19.9031922727705 & 0.142152694163713 \tabularnewline
0.81 & 19.9348776697784 & 0.143900826776096 \tabularnewline
0.82 & 19.9680395088001 & 0.147096676035868 \tabularnewline
0.83 & 20.003098737754 & 0.15197302654715 \tabularnewline
0.84 & 20.0404951561159 & 0.158591586762019 \tabularnewline
0.85 & 20.080621163653 & 0.166646885461198 \tabularnewline
0.86 & 20.1237376243534 & 0.175381228329507 \tabularnewline
0.87 & 20.1698854104893 & 0.183554394281534 \tabularnewline
0.88 & 20.2188169612365 & 0.189605274117811 \tabularnewline
0.89 & 20.2699811645462 & 0.191975903949007 \tabularnewline
0.9 & 20.3226006825407 & 0.189544979111764 \tabularnewline
0.91 & 20.3758859529107 & 0.182008109560454 \tabularnewline
0.92 & 20.4294389649333 & 0.170268868106678 \tabularnewline
0.93 & 20.483906046069 & 0.15671984828359 \tabularnewline
0.94 & 20.5418908671126 & 0.145916059413273 \tabularnewline
0.95 & 20.6088872909424 & 0.145565850631189 \tabularnewline
0.96 & 20.6932951279372 & 0.166293881735931 \tabularnewline
0.97 & 20.8034377733983 & 0.216688894049285 \tabularnewline
0.98 & 20.9391552353466 & 0.295581655036668 \tabularnewline
0.99 & 21.0795541743393 & 0.385521329727728 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162859&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]17.4256686756352[/C][C]0.056372623075682[/C][/ROW]
[ROW][C]0.02[/C][C]17.4507404149447[/C][C]0.0573738185024537[/C][/ROW]
[ROW][C]0.03[/C][C]17.4801811201385[/C][C]0.0632846489847028[/C][/ROW]
[ROW][C]0.04[/C][C]17.5106858408987[/C][C]0.0700180355550827[/C][/ROW]
[ROW][C]0.05[/C][C]17.5407412196301[/C][C]0.0744444988810462[/C][/ROW]
[ROW][C]0.06[/C][C]17.56981458144[/C][C]0.0767785815722043[/C][/ROW]
[ROW][C]0.07[/C][C]17.5978893876918[/C][C]0.0791795307556611[/C][/ROW]
[ROW][C]0.08[/C][C]17.6253123927056[/C][C]0.0838404756098722[/C][/ROW]
[ROW][C]0.09[/C][C]17.6526685613236[/C][C]0.09151705597231[/C][/ROW]
[ROW][C]0.1[/C][C]17.6805891680763[/C][C]0.101493299308964[/C][/ROW]
[ROW][C]0.11[/C][C]17.7095515317149[/C][C]0.112243944551873[/C][/ROW]
[ROW][C]0.12[/C][C]17.739748523956[/C][C]0.122205802368304[/C][/ROW]
[ROW][C]0.13[/C][C]17.7710597247013[/C][C]0.130119644360309[/C][/ROW]
[ROW][C]0.14[/C][C]17.803109816004[/C][C]0.135197878037151[/C][/ROW]
[ROW][C]0.15[/C][C]17.8353773961423[/C][C]0.137276033583212[/C][/ROW]
[ROW][C]0.16[/C][C]17.8673159338691[/C][C]0.136597530819944[/C][/ROW]
[ROW][C]0.17[/C][C]17.8984579738613[/C][C]0.133890158615338[/C][/ROW]
[ROW][C]0.18[/C][C]17.9284860778936[/C][C]0.130041502441642[/C][/ROW]
[ROW][C]0.19[/C][C]17.9572652717975[/C][C]0.126104981449981[/C][/ROW]
[ROW][C]0.2[/C][C]17.9848403833967[/C][C]0.122979202368801[/C][/ROW]
[ROW][C]0.21[/C][C]18.0114071516482[/C][C]0.121318942819642[/C][/ROW]
[ROW][C]0.22[/C][C]18.0372684009578[/C][C]0.121565009142541[/C][/ROW]
[ROW][C]0.23[/C][C]18.0627862854188[/C][C]0.12382405371242[/C][/ROW]
[ROW][C]0.24[/C][C]18.0883393093462[/C][C]0.127986554950356[/C][/ROW]
[ROW][C]0.25[/C][C]18.1142894337799[/C][C]0.133846188233279[/C][/ROW]
[ROW][C]0.26[/C][C]18.1409610251606[/C][C]0.141116107090808[/C][/ROW]
[ROW][C]0.27[/C][C]18.1686304664664[/C][C]0.149532741223608[/C][/ROW]
[ROW][C]0.28[/C][C]18.1975234058632[/C][C]0.158897224478667[/C][/ROW]
[ROW][C]0.29[/C][C]18.2278159980171[/C][C]0.169013940661947[/C][/ROW]
[ROW][C]0.3[/C][C]18.2596369423609[/C][C]0.179693189826763[/C][/ROW]
[ROW][C]0.31[/C][C]18.2930682913186[/C][C]0.190741850676828[/C][/ROW]
[ROW][C]0.32[/C][C]18.3281444583257[/C][C]0.201908629530262[/C][/ROW]
[ROW][C]0.33[/C][C]18.3648501866852[/C][C]0.212814488354957[/C][/ROW]
[ROW][C]0.34[/C][C]18.4031191253605[/C][C]0.223192519320049[/C][/ROW]
[ROW][C]0.35[/C][C]18.4428349172065[/C][C]0.232647479198353[/C][/ROW]
[ROW][C]0.36[/C][C]18.4838363194665[/C][C]0.240856938166128[/C][/ROW]
[ROW][C]0.37[/C][C]18.5259269770369[/C][C]0.247680762242658[/C][/ROW]
[ROW][C]0.38[/C][C]18.5688893020925[/C][C]0.252950319822929[/C][/ROW]
[ROW][C]0.39[/C][C]18.612500781955[/C][C]0.256712072681584[/C][/ROW]
[ROW][C]0.4[/C][C]18.6565502306049[/C][C]0.259135772150637[/C][/ROW]
[ROW][C]0.41[/C][C]18.7008512285244[/C][C]0.260452024670333[/C][/ROW]
[ROW][C]0.42[/C][C]18.745250343081[/C][C]0.260955799686624[/C][/ROW]
[ROW][C]0.43[/C][C]18.7896286233232[/C][C]0.260924850248078[/C][/ROW]
[ROW][C]0.44[/C][C]18.8338961247969[/C][C]0.260577329131422[/C][/ROW]
[ROW][C]0.45[/C][C]18.8779805654073[/C][C]0.260005110247988[/C][/ROW]
[ROW][C]0.46[/C][C]18.9218123503397[/C][C]0.25911797919427[/C][/ROW]
[ROW][C]0.47[/C][C]18.9653088934378[/C][C]0.257790195817525[/C][/ROW]
[ROW][C]0.48[/C][C]19.0083612715676[/C][C]0.255692700821413[/C][/ROW]
[ROW][C]0.49[/C][C]19.0508257769405[/C][C]0.252562599093605[/C][/ROW]
[ROW][C]0.5[/C][C]19.0925220047703[/C][C]0.248073618058366[/C][/ROW]
[ROW][C]0.51[/C][C]19.1332379432237[/C][C]0.242013760767743[/C][/ROW]
[ROW][C]0.52[/C][C]19.1727413662727[/C][C]0.234275151459926[/C][/ROW]
[ROW][C]0.53[/C][C]19.2107958899433[/C][C]0.224901781742158[/C][/ROW]
[ROW][C]0.54[/C][C]19.2471794887443[/C][C]0.213987024952526[/C][/ROW]
[ROW][C]0.55[/C][C]19.2817031344737[/C][C]0.201894782953521[/C][/ROW]
[ROW][C]0.56[/C][C]19.3142274697814[/C][C]0.188946742783153[/C][/ROW]
[ROW][C]0.57[/C][C]19.3446759457316[/C][C]0.175592189093295[/C][/ROW]
[ROW][C]0.58[/C][C]19.3730434822694[/C][C]0.162292223347173[/C][/ROW]
[ROW][C]0.59[/C][C]19.3994003048084[/C][C]0.149505485466216[/C][/ROW]
[ROW][C]0.6[/C][C]19.4238910614629[/C][C]0.137716797191585[/C][/ROW]
[ROW][C]0.61[/C][C]19.4467295871883[/C][C]0.127328330066738[/C][/ROW]
[ROW][C]0.62[/C][C]19.4681897713127[/C][C]0.118690421595539[/C][/ROW]
[ROW][C]0.63[/C][C]19.4885929737226[/C][C]0.112130506807058[/C][/ROW]
[ROW][C]0.64[/C][C]19.5082924199638[/C][C]0.107818610721724[/C][/ROW]
[ROW][C]0.65[/C][C]19.527655081212[/C][C]0.105824769124582[/C][/ROW]
[ROW][C]0.66[/C][C]19.5470417719813[/C][C]0.10608172219379[/C][/ROW]
[ROW][C]0.67[/C][C]19.56678657873[/C][C]0.108306686301855[/C][/ROW]
[ROW][C]0.68[/C][C]19.5871771980057[/C][C]0.112100559650315[/C][/ROW]
[ROW][C]0.69[/C][C]19.6084381810513[/C][C]0.116947128502218[/C][/ROW]
[ROW][C]0.7[/C][C]19.6307192836375[/C][C]0.122317965267368[/C][/ROW]
[ROW][C]0.71[/C][C]19.6540909466179[/C][C]0.127643539004977[/C][/ROW]
[ROW][C]0.72[/C][C]19.6785482950371[/C][C]0.132441950582239[/C][/ROW]
[ROW][C]0.73[/C][C]19.7040239752864[/C][C]0.136350914459129[/C][/ROW]
[ROW][C]0.74[/C][C]19.7304088330389[/C][C]0.139168888571328[/C][/ROW]
[ROW][C]0.75[/C][C]19.7575781754876[/C][C]0.140856672342466[/C][/ROW]
[ROW][C]0.76[/C][C]19.7854205035382[/C][C]0.141585193046605[/C][/ROW]
[ROW][C]0.77[/C][C]19.813865389917[/C][C]0.141653261013468[/C][/ROW]
[ROW][C]0.78[/C][C]19.8429076277074[/C][C]0.141459849571525[/C][/ROW]
[ROW][C]0.79[/C][C]19.8726255794089[/C][C]0.141472970657299[/C][/ROW]
[ROW][C]0.8[/C][C]19.9031922727705[/C][C]0.142152694163713[/C][/ROW]
[ROW][C]0.81[/C][C]19.9348776697784[/C][C]0.143900826776096[/C][/ROW]
[ROW][C]0.82[/C][C]19.9680395088001[/C][C]0.147096676035868[/C][/ROW]
[ROW][C]0.83[/C][C]20.003098737754[/C][C]0.15197302654715[/C][/ROW]
[ROW][C]0.84[/C][C]20.0404951561159[/C][C]0.158591586762019[/C][/ROW]
[ROW][C]0.85[/C][C]20.080621163653[/C][C]0.166646885461198[/C][/ROW]
[ROW][C]0.86[/C][C]20.1237376243534[/C][C]0.175381228329507[/C][/ROW]
[ROW][C]0.87[/C][C]20.1698854104893[/C][C]0.183554394281534[/C][/ROW]
[ROW][C]0.88[/C][C]20.2188169612365[/C][C]0.189605274117811[/C][/ROW]
[ROW][C]0.89[/C][C]20.2699811645462[/C][C]0.191975903949007[/C][/ROW]
[ROW][C]0.9[/C][C]20.3226006825407[/C][C]0.189544979111764[/C][/ROW]
[ROW][C]0.91[/C][C]20.3758859529107[/C][C]0.182008109560454[/C][/ROW]
[ROW][C]0.92[/C][C]20.4294389649333[/C][C]0.170268868106678[/C][/ROW]
[ROW][C]0.93[/C][C]20.483906046069[/C][C]0.15671984828359[/C][/ROW]
[ROW][C]0.94[/C][C]20.5418908671126[/C][C]0.145916059413273[/C][/ROW]
[ROW][C]0.95[/C][C]20.6088872909424[/C][C]0.145565850631189[/C][/ROW]
[ROW][C]0.96[/C][C]20.6932951279372[/C][C]0.166293881735931[/C][/ROW]
[ROW][C]0.97[/C][C]20.8034377733983[/C][C]0.216688894049285[/C][/ROW]
[ROW][C]0.98[/C][C]20.9391552353466[/C][C]0.295581655036668[/C][/ROW]
[ROW][C]0.99[/C][C]21.0795541743393[/C][C]0.385521329727728[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162859&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162859&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
0.0117.42566867563520.056372623075682
0.0217.45074041494470.0573738185024537
0.0317.48018112013850.0632846489847028
0.0417.51068584089870.0700180355550827
0.0517.54074121963010.0744444988810462
0.0617.569814581440.0767785815722043
0.0717.59788938769180.0791795307556611
0.0817.62531239270560.0838404756098722
0.0917.65266856132360.09151705597231
0.117.68058916807630.101493299308964
0.1117.70955153171490.112243944551873
0.1217.7397485239560.122205802368304
0.1317.77105972470130.130119644360309
0.1417.8031098160040.135197878037151
0.1517.83537739614230.137276033583212
0.1617.86731593386910.136597530819944
0.1717.89845797386130.133890158615338
0.1817.92848607789360.130041502441642
0.1917.95726527179750.126104981449981
0.217.98484038339670.122979202368801
0.2118.01140715164820.121318942819642
0.2218.03726840095780.121565009142541
0.2318.06278628541880.12382405371242
0.2418.08833930934620.127986554950356
0.2518.11428943377990.133846188233279
0.2618.14096102516060.141116107090808
0.2718.16863046646640.149532741223608
0.2818.19752340586320.158897224478667
0.2918.22781599801710.169013940661947
0.318.25963694236090.179693189826763
0.3118.29306829131860.190741850676828
0.3218.32814445832570.201908629530262
0.3318.36485018668520.212814488354957
0.3418.40311912536050.223192519320049
0.3518.44283491720650.232647479198353
0.3618.48383631946650.240856938166128
0.3718.52592697703690.247680762242658
0.3818.56888930209250.252950319822929
0.3918.6125007819550.256712072681584
0.418.65655023060490.259135772150637
0.4118.70085122852440.260452024670333
0.4218.7452503430810.260955799686624
0.4318.78962862332320.260924850248078
0.4418.83389612479690.260577329131422
0.4518.87798056540730.260005110247988
0.4618.92181235033970.25911797919427
0.4718.96530889343780.257790195817525
0.4819.00836127156760.255692700821413
0.4919.05082577694050.252562599093605
0.519.09252200477030.248073618058366
0.5119.13323794322370.242013760767743
0.5219.17274136627270.234275151459926
0.5319.21079588994330.224901781742158
0.5419.24717948874430.213987024952526
0.5519.28170313447370.201894782953521
0.5619.31422746978140.188946742783153
0.5719.34467594573160.175592189093295
0.5819.37304348226940.162292223347173
0.5919.39940030480840.149505485466216
0.619.42389106146290.137716797191585
0.6119.44672958718830.127328330066738
0.6219.46818977131270.118690421595539
0.6319.48859297372260.112130506807058
0.6419.50829241996380.107818610721724
0.6519.5276550812120.105824769124582
0.6619.54704177198130.10608172219379
0.6719.566786578730.108306686301855
0.6819.58717719800570.112100559650315
0.6919.60843818105130.116947128502218
0.719.63071928363750.122317965267368
0.7119.65409094661790.127643539004977
0.7219.67854829503710.132441950582239
0.7319.70402397528640.136350914459129
0.7419.73040883303890.139168888571328
0.7519.75757817548760.140856672342466
0.7619.78542050353820.141585193046605
0.7719.8138653899170.141653261013468
0.7819.84290762770740.141459849571525
0.7919.87262557940890.141472970657299
0.819.90319227277050.142152694163713
0.8119.93487766977840.143900826776096
0.8219.96803950880010.147096676035868
0.8320.0030987377540.15197302654715
0.8420.04049515611590.158591586762019
0.8520.0806211636530.166646885461198
0.8620.12373762435340.175381228329507
0.8720.16988541048930.183554394281534
0.8820.21881696123650.189605274117811
0.8920.26998116454620.191975903949007
0.920.32260068254070.189544979111764
0.9120.37588595291070.182008109560454
0.9220.42943896493330.170268868106678
0.9320.4839060460690.15671984828359
0.9420.54189086711260.145916059413273
0.9520.60888729094240.145565850631189
0.9620.69329512793720.166293881735931
0.9720.80343777339830.216688894049285
0.9820.93915523534660.295581655036668
0.9921.07955417433930.385521329727728


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')