FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 15 Oct 2012 08:04:12 -0400
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/Oct/15/t13503027527fiigc17u6jr5gb.htm/, Retrieved Tue, 07 May 2024 18:30:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=176783, Retrieved Tue, 07 May 2024 18:30:25 +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] [oef 2 b opgave 4] [2012-10-15 12:04:12] [2f2dfc06a630b81f17a3d9dd284f5d45] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
22.24
22.24
22.25
22.24
22.09
22.09
22.08
22.08
22.05
22.05
22.12
22.11
22.43
22.43
22.39
22.35
22.29
22.29
22.29
22.29
22.26
22.24
22.29
22.19
22.14
22.14
22.22
22.12
22.4
22.4
22.13
22.13
22.08
22.03
21.97
22.06
22.06
22.06
22.05
22.04
22.3
22.27
22.18
22.18
22.13
22.1
21.96
21.95
21.94
21.94
21.84
21.72
21.74
21.65
21.67
21.67
21.68
21.6
21.59
21.52
21.16
21.16
21.15
21.25
21.29
21.22
21.24
21.24
21.25
21.12
21.07
21.04
20.89

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=176783&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=176783&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176783&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0120.93200973010280.119516255442688
0.0220.98874906475410.0862850467075573
0.0321.03910225238670.0646100807474336
0.0421.07738323447680.054612719257489
0.0521.10619530743270.049911744377784
0.0621.12920800767550.0473650371775526
0.0721.14894494976040.0467847795225862
0.0821.1669762430910.0484425431397644
0.0921.18440784606540.0523729720340127
0.121.20214714148920.0587041283468314
0.1121.22101427897880.0679049239363757
0.1221.24177899574030.0803760681965704
0.1321.2651323658830.095888288428028
0.1421.2915962674820.113282982380552
0.1521.3214040623350.130810443448475
0.1621.35440764567620.146379733669912
0.1721.39005907606190.158172842833819
0.1821.42748524252640.165018441613832
0.1921.46563857359310.16658802508991
0.221.50348151369160.163532633918234
0.2121.54015530290690.157167944416156
0.2221.575093554620.14914139497652
0.2321.60806136253550.141212603518783
0.2421.63912259954080.134705201627713
0.2521.66855485690070.130393892265416
0.2621.69673971898370.128329207428908
0.2721.72405578566980.127994106056729
0.2821.75079533644370.128594737039717
0.2921.77711595665020.12914337232817
0.321.80302876838870.128848430555135
0.3121.82841723353220.127157173634704
0.3221.85307591422190.123795267329154
0.3321.87675725784350.118781384958772
0.3421.89921589448740.112323041540023
0.3521.92024314162750.104785128166189
0.3621.93968829431930.0965623182886217
0.3721.9574668310830.0880444369335984
0.3821.97355817886950.0795282686101989
0.3921.98799685666320.0712996310995851
0.422.00086075737230.0635323165653574
0.4122.01225941946590.0563368713428718
0.4222.02232388685590.0498144767651694
0.4322.03119860811150.0440030731901146
0.4422.03903506626110.0389371354088243
0.4522.04598653587840.0346594183790044
0.4622.05220344484670.0311525911149048
0.4722.05782909621360.0284022353610438
0.4822.06299580055320.0263423503649876
0.4922.0678216595230.0248953021914004
0.522.07240828630180.0239568694533564
0.5122.07683967589580.0234019073200384
0.5222.08118230979770.0231706292678843
0.5322.08548645481040.023140203806643
0.5422.08978852751790.0232175064800614
0.5522.09411434284110.023407139870565
0.5622.09848302278710.0236067688663893
0.5722.10291128129070.0238829240986078
0.5822.10741770948120.024200244019711
0.5922.11202657563350.0246369479964931
0.622.11677056371220.025265666361848
0.6122.12169185541630.0261055745320008
0.6222.12684105932760.0272367313725989
0.6322.13227372985990.0287030773166597
0.6422.1380445850680.0304737629494349
0.6522.14419997514540.0324632564611084
0.6622.15076959221490.0345907957604029
0.6722.15775875248220.0366411586204264
0.6822.16514273399840.0384788782862289
0.6922.17286454860110.0399057630012204
0.722.18083713214380.0407537103952879
0.7122.18895026737030.0409491365257522
0.7222.19708168073970.0404310220382596
0.7322.20511081396210.0392479466950004
0.7422.21293295890490.03751968863089
0.7522.22047099414120.0354031339869634
0.7622.22768209505860.0331434227278548
0.7722.23455764747310.0309446634710185
0.7822.24111615811950.0289503529486235
0.7922.24739098999080.0272264364605254
0.822.25341680112060.0257653837663603
0.8122.25922001739160.0244541720555379
0.8222.2648188712470.0231783130173571
0.8322.27023695604350.0218734416504675
0.8422.27553062969530.0206069416165897
0.8522.28082514943360.019659585832063
0.8622.28634798256060.0195095949874238
0.8722.29244208787840.0207667815406638
0.8822.29954002748150.0237906931119989
0.8922.30808545094790.0284401335483834
0.922.31840534808960.0339358383819346
0.9122.33056449114770.0390230597791873
0.9222.34426415558290.0422424784732108
0.9322.35885930881270.042402737143343
0.9422.37353164226150.0391934492689352
0.9522.38755293397720.0335597803635059
0.9622.40044669282730.0273956015019718
0.9722.41184683175420.0219739141885305
0.9822.42112731566430.0160460408868439
0.9922.42733979093540.00778817918404186

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 20.9320097301028 & 0.119516255442688 \tabularnewline
0.02 & 20.9887490647541 & 0.0862850467075573 \tabularnewline
0.03 & 21.0391022523867 & 0.0646100807474336 \tabularnewline
0.04 & 21.0773832344768 & 0.054612719257489 \tabularnewline
0.05 & 21.1061953074327 & 0.049911744377784 \tabularnewline
0.06 & 21.1292080076755 & 0.0473650371775526 \tabularnewline
0.07 & 21.1489449497604 & 0.0467847795225862 \tabularnewline
0.08 & 21.166976243091 & 0.0484425431397644 \tabularnewline
0.09 & 21.1844078460654 & 0.0523729720340127 \tabularnewline
0.1 & 21.2021471414892 & 0.0587041283468314 \tabularnewline
0.11 & 21.2210142789788 & 0.0679049239363757 \tabularnewline
0.12 & 21.2417789957403 & 0.0803760681965704 \tabularnewline
0.13 & 21.265132365883 & 0.095888288428028 \tabularnewline
0.14 & 21.291596267482 & 0.113282982380552 \tabularnewline
0.15 & 21.321404062335 & 0.130810443448475 \tabularnewline
0.16 & 21.3544076456762 & 0.146379733669912 \tabularnewline
0.17 & 21.3900590760619 & 0.158172842833819 \tabularnewline
0.18 & 21.4274852425264 & 0.165018441613832 \tabularnewline
0.19 & 21.4656385735931 & 0.16658802508991 \tabularnewline
0.2 & 21.5034815136916 & 0.163532633918234 \tabularnewline
0.21 & 21.5401553029069 & 0.157167944416156 \tabularnewline
0.22 & 21.57509355462 & 0.14914139497652 \tabularnewline
0.23 & 21.6080613625355 & 0.141212603518783 \tabularnewline
0.24 & 21.6391225995408 & 0.134705201627713 \tabularnewline
0.25 & 21.6685548569007 & 0.130393892265416 \tabularnewline
0.26 & 21.6967397189837 & 0.128329207428908 \tabularnewline
0.27 & 21.7240557856698 & 0.127994106056729 \tabularnewline
0.28 & 21.7507953364437 & 0.128594737039717 \tabularnewline
0.29 & 21.7771159566502 & 0.12914337232817 \tabularnewline
0.3 & 21.8030287683887 & 0.128848430555135 \tabularnewline
0.31 & 21.8284172335322 & 0.127157173634704 \tabularnewline
0.32 & 21.8530759142219 & 0.123795267329154 \tabularnewline
0.33 & 21.8767572578435 & 0.118781384958772 \tabularnewline
0.34 & 21.8992158944874 & 0.112323041540023 \tabularnewline
0.35 & 21.9202431416275 & 0.104785128166189 \tabularnewline
0.36 & 21.9396882943193 & 0.0965623182886217 \tabularnewline
0.37 & 21.957466831083 & 0.0880444369335984 \tabularnewline
0.38 & 21.9735581788695 & 0.0795282686101989 \tabularnewline
0.39 & 21.9879968566632 & 0.0712996310995851 \tabularnewline
0.4 & 22.0008607573723 & 0.0635323165653574 \tabularnewline
0.41 & 22.0122594194659 & 0.0563368713428718 \tabularnewline
0.42 & 22.0223238868559 & 0.0498144767651694 \tabularnewline
0.43 & 22.0311986081115 & 0.0440030731901146 \tabularnewline
0.44 & 22.0390350662611 & 0.0389371354088243 \tabularnewline
0.45 & 22.0459865358784 & 0.0346594183790044 \tabularnewline
0.46 & 22.0522034448467 & 0.0311525911149048 \tabularnewline
0.47 & 22.0578290962136 & 0.0284022353610438 \tabularnewline
0.48 & 22.0629958005532 & 0.0263423503649876 \tabularnewline
0.49 & 22.067821659523 & 0.0248953021914004 \tabularnewline
0.5 & 22.0724082863018 & 0.0239568694533564 \tabularnewline
0.51 & 22.0768396758958 & 0.0234019073200384 \tabularnewline
0.52 & 22.0811823097977 & 0.0231706292678843 \tabularnewline
0.53 & 22.0854864548104 & 0.023140203806643 \tabularnewline
0.54 & 22.0897885275179 & 0.0232175064800614 \tabularnewline
0.55 & 22.0941143428411 & 0.023407139870565 \tabularnewline
0.56 & 22.0984830227871 & 0.0236067688663893 \tabularnewline
0.57 & 22.1029112812907 & 0.0238829240986078 \tabularnewline
0.58 & 22.1074177094812 & 0.024200244019711 \tabularnewline
0.59 & 22.1120265756335 & 0.0246369479964931 \tabularnewline
0.6 & 22.1167705637122 & 0.025265666361848 \tabularnewline
0.61 & 22.1216918554163 & 0.0261055745320008 \tabularnewline
0.62 & 22.1268410593276 & 0.0272367313725989 \tabularnewline
0.63 & 22.1322737298599 & 0.0287030773166597 \tabularnewline
0.64 & 22.138044585068 & 0.0304737629494349 \tabularnewline
0.65 & 22.1441999751454 & 0.0324632564611084 \tabularnewline
0.66 & 22.1507695922149 & 0.0345907957604029 \tabularnewline
0.67 & 22.1577587524822 & 0.0366411586204264 \tabularnewline
0.68 & 22.1651427339984 & 0.0384788782862289 \tabularnewline
0.69 & 22.1728645486011 & 0.0399057630012204 \tabularnewline
0.7 & 22.1808371321438 & 0.0407537103952879 \tabularnewline
0.71 & 22.1889502673703 & 0.0409491365257522 \tabularnewline
0.72 & 22.1970816807397 & 0.0404310220382596 \tabularnewline
0.73 & 22.2051108139621 & 0.0392479466950004 \tabularnewline
0.74 & 22.2129329589049 & 0.03751968863089 \tabularnewline
0.75 & 22.2204709941412 & 0.0354031339869634 \tabularnewline
0.76 & 22.2276820950586 & 0.0331434227278548 \tabularnewline
0.77 & 22.2345576474731 & 0.0309446634710185 \tabularnewline
0.78 & 22.2411161581195 & 0.0289503529486235 \tabularnewline
0.79 & 22.2473909899908 & 0.0272264364605254 \tabularnewline
0.8 & 22.2534168011206 & 0.0257653837663603 \tabularnewline
0.81 & 22.2592200173916 & 0.0244541720555379 \tabularnewline
0.82 & 22.264818871247 & 0.0231783130173571 \tabularnewline
0.83 & 22.2702369560435 & 0.0218734416504675 \tabularnewline
0.84 & 22.2755306296953 & 0.0206069416165897 \tabularnewline
0.85 & 22.2808251494336 & 0.019659585832063 \tabularnewline
0.86 & 22.2863479825606 & 0.0195095949874238 \tabularnewline
0.87 & 22.2924420878784 & 0.0207667815406638 \tabularnewline
0.88 & 22.2995400274815 & 0.0237906931119989 \tabularnewline
0.89 & 22.3080854509479 & 0.0284401335483834 \tabularnewline
0.9 & 22.3184053480896 & 0.0339358383819346 \tabularnewline
0.91 & 22.3305644911477 & 0.0390230597791873 \tabularnewline
0.92 & 22.3442641555829 & 0.0422424784732108 \tabularnewline
0.93 & 22.3588593088127 & 0.042402737143343 \tabularnewline
0.94 & 22.3735316422615 & 0.0391934492689352 \tabularnewline
0.95 & 22.3875529339772 & 0.0335597803635059 \tabularnewline
0.96 & 22.4004466928273 & 0.0273956015019718 \tabularnewline
0.97 & 22.4118468317542 & 0.0219739141885305 \tabularnewline
0.98 & 22.4211273156643 & 0.0160460408868439 \tabularnewline
0.99 & 22.4273397909354 & 0.00778817918404186 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=176783&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]20.9320097301028[/C][C]0.119516255442688[/C][/ROW]
[ROW][C]0.02[/C][C]20.9887490647541[/C][C]0.0862850467075573[/C][/ROW]
[ROW][C]0.03[/C][C]21.0391022523867[/C][C]0.0646100807474336[/C][/ROW]
[ROW][C]0.04[/C][C]21.0773832344768[/C][C]0.054612719257489[/C][/ROW]
[ROW][C]0.05[/C][C]21.1061953074327[/C][C]0.049911744377784[/C][/ROW]
[ROW][C]0.06[/C][C]21.1292080076755[/C][C]0.0473650371775526[/C][/ROW]
[ROW][C]0.07[/C][C]21.1489449497604[/C][C]0.0467847795225862[/C][/ROW]
[ROW][C]0.08[/C][C]21.166976243091[/C][C]0.0484425431397644[/C][/ROW]
[ROW][C]0.09[/C][C]21.1844078460654[/C][C]0.0523729720340127[/C][/ROW]
[ROW][C]0.1[/C][C]21.2021471414892[/C][C]0.0587041283468314[/C][/ROW]
[ROW][C]0.11[/C][C]21.2210142789788[/C][C]0.0679049239363757[/C][/ROW]
[ROW][C]0.12[/C][C]21.2417789957403[/C][C]0.0803760681965704[/C][/ROW]
[ROW][C]0.13[/C][C]21.265132365883[/C][C]0.095888288428028[/C][/ROW]
[ROW][C]0.14[/C][C]21.291596267482[/C][C]0.113282982380552[/C][/ROW]
[ROW][C]0.15[/C][C]21.321404062335[/C][C]0.130810443448475[/C][/ROW]
[ROW][C]0.16[/C][C]21.3544076456762[/C][C]0.146379733669912[/C][/ROW]
[ROW][C]0.17[/C][C]21.3900590760619[/C][C]0.158172842833819[/C][/ROW]
[ROW][C]0.18[/C][C]21.4274852425264[/C][C]0.165018441613832[/C][/ROW]
[ROW][C]0.19[/C][C]21.4656385735931[/C][C]0.16658802508991[/C][/ROW]
[ROW][C]0.2[/C][C]21.5034815136916[/C][C]0.163532633918234[/C][/ROW]
[ROW][C]0.21[/C][C]21.5401553029069[/C][C]0.157167944416156[/C][/ROW]
[ROW][C]0.22[/C][C]21.57509355462[/C][C]0.14914139497652[/C][/ROW]
[ROW][C]0.23[/C][C]21.6080613625355[/C][C]0.141212603518783[/C][/ROW]
[ROW][C]0.24[/C][C]21.6391225995408[/C][C]0.134705201627713[/C][/ROW]
[ROW][C]0.25[/C][C]21.6685548569007[/C][C]0.130393892265416[/C][/ROW]
[ROW][C]0.26[/C][C]21.6967397189837[/C][C]0.128329207428908[/C][/ROW]
[ROW][C]0.27[/C][C]21.7240557856698[/C][C]0.127994106056729[/C][/ROW]
[ROW][C]0.28[/C][C]21.7507953364437[/C][C]0.128594737039717[/C][/ROW]
[ROW][C]0.29[/C][C]21.7771159566502[/C][C]0.12914337232817[/C][/ROW]
[ROW][C]0.3[/C][C]21.8030287683887[/C][C]0.128848430555135[/C][/ROW]
[ROW][C]0.31[/C][C]21.8284172335322[/C][C]0.127157173634704[/C][/ROW]
[ROW][C]0.32[/C][C]21.8530759142219[/C][C]0.123795267329154[/C][/ROW]
[ROW][C]0.33[/C][C]21.8767572578435[/C][C]0.118781384958772[/C][/ROW]
[ROW][C]0.34[/C][C]21.8992158944874[/C][C]0.112323041540023[/C][/ROW]
[ROW][C]0.35[/C][C]21.9202431416275[/C][C]0.104785128166189[/C][/ROW]
[ROW][C]0.36[/C][C]21.9396882943193[/C][C]0.0965623182886217[/C][/ROW]
[ROW][C]0.37[/C][C]21.957466831083[/C][C]0.0880444369335984[/C][/ROW]
[ROW][C]0.38[/C][C]21.9735581788695[/C][C]0.0795282686101989[/C][/ROW]
[ROW][C]0.39[/C][C]21.9879968566632[/C][C]0.0712996310995851[/C][/ROW]
[ROW][C]0.4[/C][C]22.0008607573723[/C][C]0.0635323165653574[/C][/ROW]
[ROW][C]0.41[/C][C]22.0122594194659[/C][C]0.0563368713428718[/C][/ROW]
[ROW][C]0.42[/C][C]22.0223238868559[/C][C]0.0498144767651694[/C][/ROW]
[ROW][C]0.43[/C][C]22.0311986081115[/C][C]0.0440030731901146[/C][/ROW]
[ROW][C]0.44[/C][C]22.0390350662611[/C][C]0.0389371354088243[/C][/ROW]
[ROW][C]0.45[/C][C]22.0459865358784[/C][C]0.0346594183790044[/C][/ROW]
[ROW][C]0.46[/C][C]22.0522034448467[/C][C]0.0311525911149048[/C][/ROW]
[ROW][C]0.47[/C][C]22.0578290962136[/C][C]0.0284022353610438[/C][/ROW]
[ROW][C]0.48[/C][C]22.0629958005532[/C][C]0.0263423503649876[/C][/ROW]
[ROW][C]0.49[/C][C]22.067821659523[/C][C]0.0248953021914004[/C][/ROW]
[ROW][C]0.5[/C][C]22.0724082863018[/C][C]0.0239568694533564[/C][/ROW]
[ROW][C]0.51[/C][C]22.0768396758958[/C][C]0.0234019073200384[/C][/ROW]
[ROW][C]0.52[/C][C]22.0811823097977[/C][C]0.0231706292678843[/C][/ROW]
[ROW][C]0.53[/C][C]22.0854864548104[/C][C]0.023140203806643[/C][/ROW]
[ROW][C]0.54[/C][C]22.0897885275179[/C][C]0.0232175064800614[/C][/ROW]
[ROW][C]0.55[/C][C]22.0941143428411[/C][C]0.023407139870565[/C][/ROW]
[ROW][C]0.56[/C][C]22.0984830227871[/C][C]0.0236067688663893[/C][/ROW]
[ROW][C]0.57[/C][C]22.1029112812907[/C][C]0.0238829240986078[/C][/ROW]
[ROW][C]0.58[/C][C]22.1074177094812[/C][C]0.024200244019711[/C][/ROW]
[ROW][C]0.59[/C][C]22.1120265756335[/C][C]0.0246369479964931[/C][/ROW]
[ROW][C]0.6[/C][C]22.1167705637122[/C][C]0.025265666361848[/C][/ROW]
[ROW][C]0.61[/C][C]22.1216918554163[/C][C]0.0261055745320008[/C][/ROW]
[ROW][C]0.62[/C][C]22.1268410593276[/C][C]0.0272367313725989[/C][/ROW]
[ROW][C]0.63[/C][C]22.1322737298599[/C][C]0.0287030773166597[/C][/ROW]
[ROW][C]0.64[/C][C]22.138044585068[/C][C]0.0304737629494349[/C][/ROW]
[ROW][C]0.65[/C][C]22.1441999751454[/C][C]0.0324632564611084[/C][/ROW]
[ROW][C]0.66[/C][C]22.1507695922149[/C][C]0.0345907957604029[/C][/ROW]
[ROW][C]0.67[/C][C]22.1577587524822[/C][C]0.0366411586204264[/C][/ROW]
[ROW][C]0.68[/C][C]22.1651427339984[/C][C]0.0384788782862289[/C][/ROW]
[ROW][C]0.69[/C][C]22.1728645486011[/C][C]0.0399057630012204[/C][/ROW]
[ROW][C]0.7[/C][C]22.1808371321438[/C][C]0.0407537103952879[/C][/ROW]
[ROW][C]0.71[/C][C]22.1889502673703[/C][C]0.0409491365257522[/C][/ROW]
[ROW][C]0.72[/C][C]22.1970816807397[/C][C]0.0404310220382596[/C][/ROW]
[ROW][C]0.73[/C][C]22.2051108139621[/C][C]0.0392479466950004[/C][/ROW]
[ROW][C]0.74[/C][C]22.2129329589049[/C][C]0.03751968863089[/C][/ROW]
[ROW][C]0.75[/C][C]22.2204709941412[/C][C]0.0354031339869634[/C][/ROW]
[ROW][C]0.76[/C][C]22.2276820950586[/C][C]0.0331434227278548[/C][/ROW]
[ROW][C]0.77[/C][C]22.2345576474731[/C][C]0.0309446634710185[/C][/ROW]
[ROW][C]0.78[/C][C]22.2411161581195[/C][C]0.0289503529486235[/C][/ROW]
[ROW][C]0.79[/C][C]22.2473909899908[/C][C]0.0272264364605254[/C][/ROW]
[ROW][C]0.8[/C][C]22.2534168011206[/C][C]0.0257653837663603[/C][/ROW]
[ROW][C]0.81[/C][C]22.2592200173916[/C][C]0.0244541720555379[/C][/ROW]
[ROW][C]0.82[/C][C]22.264818871247[/C][C]0.0231783130173571[/C][/ROW]
[ROW][C]0.83[/C][C]22.2702369560435[/C][C]0.0218734416504675[/C][/ROW]
[ROW][C]0.84[/C][C]22.2755306296953[/C][C]0.0206069416165897[/C][/ROW]
[ROW][C]0.85[/C][C]22.2808251494336[/C][C]0.019659585832063[/C][/ROW]
[ROW][C]0.86[/C][C]22.2863479825606[/C][C]0.0195095949874238[/C][/ROW]
[ROW][C]0.87[/C][C]22.2924420878784[/C][C]0.0207667815406638[/C][/ROW]
[ROW][C]0.88[/C][C]22.2995400274815[/C][C]0.0237906931119989[/C][/ROW]
[ROW][C]0.89[/C][C]22.3080854509479[/C][C]0.0284401335483834[/C][/ROW]
[ROW][C]0.9[/C][C]22.3184053480896[/C][C]0.0339358383819346[/C][/ROW]
[ROW][C]0.91[/C][C]22.3305644911477[/C][C]0.0390230597791873[/C][/ROW]
[ROW][C]0.92[/C][C]22.3442641555829[/C][C]0.0422424784732108[/C][/ROW]
[ROW][C]0.93[/C][C]22.3588593088127[/C][C]0.042402737143343[/C][/ROW]
[ROW][C]0.94[/C][C]22.3735316422615[/C][C]0.0391934492689352[/C][/ROW]
[ROW][C]0.95[/C][C]22.3875529339772[/C][C]0.0335597803635059[/C][/ROW]
[ROW][C]0.96[/C][C]22.4004466928273[/C][C]0.0273956015019718[/C][/ROW]
[ROW][C]0.97[/C][C]22.4118468317542[/C][C]0.0219739141885305[/C][/ROW]
[ROW][C]0.98[/C][C]22.4211273156643[/C][C]0.0160460408868439[/C][/ROW]
[ROW][C]0.99[/C][C]22.4273397909354[/C][C]0.00778817918404186[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=176783&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176783&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
0.0120.93200973010280.119516255442688
0.0220.98874906475410.0862850467075573
0.0321.03910225238670.0646100807474336
0.0421.07738323447680.054612719257489
0.0521.10619530743270.049911744377784
0.0621.12920800767550.0473650371775526
0.0721.14894494976040.0467847795225862
0.0821.1669762430910.0484425431397644
0.0921.18440784606540.0523729720340127
0.121.20214714148920.0587041283468314
0.1121.22101427897880.0679049239363757
0.1221.24177899574030.0803760681965704
0.1321.2651323658830.095888288428028
0.1421.2915962674820.113282982380552
0.1521.3214040623350.130810443448475
0.1621.35440764567620.146379733669912
0.1721.39005907606190.158172842833819
0.1821.42748524252640.165018441613832
0.1921.46563857359310.16658802508991
0.221.50348151369160.163532633918234
0.2121.54015530290690.157167944416156
0.2221.575093554620.14914139497652
0.2321.60806136253550.141212603518783
0.2421.63912259954080.134705201627713
0.2521.66855485690070.130393892265416
0.2621.69673971898370.128329207428908
0.2721.72405578566980.127994106056729
0.2821.75079533644370.128594737039717
0.2921.77711595665020.12914337232817
0.321.80302876838870.128848430555135
0.3121.82841723353220.127157173634704
0.3221.85307591422190.123795267329154
0.3321.87675725784350.118781384958772
0.3421.89921589448740.112323041540023
0.3521.92024314162750.104785128166189
0.3621.93968829431930.0965623182886217
0.3721.9574668310830.0880444369335984
0.3821.97355817886950.0795282686101989
0.3921.98799685666320.0712996310995851
0.422.00086075737230.0635323165653574
0.4122.01225941946590.0563368713428718
0.4222.02232388685590.0498144767651694
0.4322.03119860811150.0440030731901146
0.4422.03903506626110.0389371354088243
0.4522.04598653587840.0346594183790044
0.4622.05220344484670.0311525911149048
0.4722.05782909621360.0284022353610438
0.4822.06299580055320.0263423503649876
0.4922.0678216595230.0248953021914004
0.522.07240828630180.0239568694533564
0.5122.07683967589580.0234019073200384
0.5222.08118230979770.0231706292678843
0.5322.08548645481040.023140203806643
0.5422.08978852751790.0232175064800614
0.5522.09411434284110.023407139870565
0.5622.09848302278710.0236067688663893
0.5722.10291128129070.0238829240986078
0.5822.10741770948120.024200244019711
0.5922.11202657563350.0246369479964931
0.622.11677056371220.025265666361848
0.6122.12169185541630.0261055745320008
0.6222.12684105932760.0272367313725989
0.6322.13227372985990.0287030773166597
0.6422.1380445850680.0304737629494349
0.6522.14419997514540.0324632564611084
0.6622.15076959221490.0345907957604029
0.6722.15775875248220.0366411586204264
0.6822.16514273399840.0384788782862289
0.6922.17286454860110.0399057630012204
0.722.18083713214380.0407537103952879
0.7122.18895026737030.0409491365257522
0.7222.19708168073970.0404310220382596
0.7322.20511081396210.0392479466950004
0.7422.21293295890490.03751968863089
0.7522.22047099414120.0354031339869634
0.7622.22768209505860.0331434227278548
0.7722.23455764747310.0309446634710185
0.7822.24111615811950.0289503529486235
0.7922.24739098999080.0272264364605254
0.822.25341680112060.0257653837663603
0.8122.25922001739160.0244541720555379
0.8222.2648188712470.0231783130173571
0.8322.27023695604350.0218734416504675
0.8422.27553062969530.0206069416165897
0.8522.28082514943360.019659585832063
0.8622.28634798256060.0195095949874238
0.8722.29244208787840.0207667815406638
0.8822.29954002748150.0237906931119989
0.8922.30808545094790.0284401335483834
0.922.31840534808960.0339358383819346
0.9122.33056449114770.0390230597791873
0.9222.34426415558290.0422424784732108
0.9322.35885930881270.042402737143343
0.9422.37353164226150.0391934492689352
0.9522.38755293397720.0335597803635059
0.9622.40044669282730.0273956015019718
0.9722.41184683175420.0219739141885305
0.9822.42112731566430.0160460408868439
0.9922.42733979093540.00778817918404186


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')