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 computationTue, 16 May 2017 21:55:13 +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/2017/May/16/t149496819026cpb04sj8xxbm9.htm/, Retrieved Fri, 17 May 2024 07:33:11 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Fri, 17 May 2024 07:33:11 +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 
93.09
93.02
93.23
92.7
92.68
93.11
93.02
93.29
93.2
92.86
93.04
92.8
93.11
93.42
94.01
94.47
94.07
94.33
94.43
95.37
95.83
95.46
96
95.35
96.85
97.84
98.38
98.9
99.51
99.95
99.93
101.4
101.7
101.65
102.33
101.56
101.91
102.29
102.44
102.84
103.2
103.23
103.16
103.31
103.04
102.57
102.88
101.91
102.59
103.27
103.59
104.35
104.6
105.08
104.93
105.15
104.67
104.55
109.82
109.25

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 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 & 6 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]6 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 time6 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0192.69186541922530.0379056537291195
0.0292.7156586172640.065943365847202
0.0392.74960750369820.0911988346815688
0.0492.7902432067780.108199915529484
0.0592.83383859112860.116411169787758
0.0692.87724572174080.117124581485072
0.0792.91826634490460.112294804428513
0.0892.95573309453010.104653490361369
0.0992.9894285009960.0972379647156267
0.193.01991574030730.0931226318834404
0.1193.04832975767560.0946470586854535
0.1293.07616959684560.103251037807524
0.1393.10512226620530.119748231987551
0.1493.13692966622080.144325641561424
0.1593.17329140115470.176652573079889
0.1693.2157872111870.216352197016668
0.1793.26580554079090.262376291502125
0.1893.3244747995460.313557102598432
0.1993.39260433605930.367943411910763
0.293.47064795027870.423705065021729
0.2193.55870212654790.479054268622132
0.2293.65654518759290.532499123376356
0.2393.76371499946620.58309888482352
0.2493.87961476893620.630640540691281
0.2594.00363123195470.675462024225649
0.2694.1352482155370.718901361676365
0.2794.27414087552060.762156923534269
0.2894.42024055937210.80703319284454
0.2994.57376551438380.855008096015377
0.394.73521712172330.907853999837983
0.3194.90534426697830.966678850540065
0.3295.08507995488841.03233512336734
0.3395.27545500965781.10529355096722
0.3495.47749447334341.18494607970063
0.3595.69210362029571.27004206210214
0.3695.91995229056711.35904011012287
0.3796.16136792657131.44888839643749
0.3896.41624842693061.53656628582466
0.3996.68400497515621.61871493408158
0.496.96354207498961.6918402452886
0.4197.25327746149971.75321332518865
0.4297.55119924359891.80022262590883
0.4397.85495274859551.83112008348882
0.4498.16194619254411.84519034589125
0.4598.46946319457831.84219244619
0.4698.77477138209631.82246662448792
0.4799.07521937009381.78714140356976
0.4899.36831827458771.73724170110262
0.4999.65180753089831.67431721878749
0.599.9237072156381.60019287739192
0.51100.1823598414081.51665810995945
0.52100.4264637775721.42560581938945
0.53100.6550986041371.32949207145686
0.54100.8677406614641.2304816222418
0.55101.0642656510881.13110885399265
0.56101.2449349506051.03374314737801
0.57101.4103634861440.940687898453831
0.58101.5614692713670.853809122315141
0.59101.6994074513440.774671103344562
0.6101.8254941368360.704131163282745
0.61101.9411268413150.642656524176163
0.62102.0477085943950.590091851650061
0.63102.1465818334780.545793058088324
0.64102.238976344080.508802497466342
0.65102.325973406250.478016124752572
0.66102.4084865013180.452258272780164
0.67102.4872578600440.43038349572628
0.68102.5628699117840.411413623951124
0.69102.6357711087720.394469691328574
0.7102.7063161511260.378924679568184
0.71102.774820675540.364503411207948
0.72102.8416293695150.351095938356323
0.73102.9071938355070.33932762154704
0.74102.9721523774650.330103290191773
0.75103.0373988169890.3251145812461
0.76103.104122731740.326013444946807
0.77103.1738010102020.334988378147112
0.78103.2481225117470.353208548039379
0.79103.3288358095560.380979155121628
0.8103.4175252346020.416720687014316
0.81103.5153413989280.457184540877704
0.82103.6227350326330.497936571180517
0.83103.7392609860310.533469881064659
0.84103.8635259593520.558686375079666
0.85103.9933456916440.569387787914553
0.86104.1261597657410.563707108515786
0.87104.2597401918780.542638523114763
0.88104.3932440994490.510859583425529
0.89104.5287063345670.477310653654653
0.9104.6730937193630.456950473015909
0.91104.8408955970890.474817596770507
0.92105.0566512728390.568285263325135
0.93105.3556220421230.775168946635417
0.94105.7792950120561.10969321075336
0.95106.3618836388131.53437363687585
0.96107.1068415841481.92774815593926
0.97107.9604451419792.08416195982213
0.98108.8005118608011.81165550570532
0.99109.4634708690371.14928321651114

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 92.6918654192253 & 0.0379056537291195 \tabularnewline
0.02 & 92.715658617264 & 0.065943365847202 \tabularnewline
0.03 & 92.7496075036982 & 0.0911988346815688 \tabularnewline
0.04 & 92.790243206778 & 0.108199915529484 \tabularnewline
0.05 & 92.8338385911286 & 0.116411169787758 \tabularnewline
0.06 & 92.8772457217408 & 0.117124581485072 \tabularnewline
0.07 & 92.9182663449046 & 0.112294804428513 \tabularnewline
0.08 & 92.9557330945301 & 0.104653490361369 \tabularnewline
0.09 & 92.989428500996 & 0.0972379647156267 \tabularnewline
0.1 & 93.0199157403073 & 0.0931226318834404 \tabularnewline
0.11 & 93.0483297576756 & 0.0946470586854535 \tabularnewline
0.12 & 93.0761695968456 & 0.103251037807524 \tabularnewline
0.13 & 93.1051222662053 & 0.119748231987551 \tabularnewline
0.14 & 93.1369296662208 & 0.144325641561424 \tabularnewline
0.15 & 93.1732914011547 & 0.176652573079889 \tabularnewline
0.16 & 93.215787211187 & 0.216352197016668 \tabularnewline
0.17 & 93.2658055407909 & 0.262376291502125 \tabularnewline
0.18 & 93.324474799546 & 0.313557102598432 \tabularnewline
0.19 & 93.3926043360593 & 0.367943411910763 \tabularnewline
0.2 & 93.4706479502787 & 0.423705065021729 \tabularnewline
0.21 & 93.5587021265479 & 0.479054268622132 \tabularnewline
0.22 & 93.6565451875929 & 0.532499123376356 \tabularnewline
0.23 & 93.7637149994662 & 0.58309888482352 \tabularnewline
0.24 & 93.8796147689362 & 0.630640540691281 \tabularnewline
0.25 & 94.0036312319547 & 0.675462024225649 \tabularnewline
0.26 & 94.135248215537 & 0.718901361676365 \tabularnewline
0.27 & 94.2741408755206 & 0.762156923534269 \tabularnewline
0.28 & 94.4202405593721 & 0.80703319284454 \tabularnewline
0.29 & 94.5737655143838 & 0.855008096015377 \tabularnewline
0.3 & 94.7352171217233 & 0.907853999837983 \tabularnewline
0.31 & 94.9053442669783 & 0.966678850540065 \tabularnewline
0.32 & 95.0850799548884 & 1.03233512336734 \tabularnewline
0.33 & 95.2754550096578 & 1.10529355096722 \tabularnewline
0.34 & 95.4774944733434 & 1.18494607970063 \tabularnewline
0.35 & 95.6921036202957 & 1.27004206210214 \tabularnewline
0.36 & 95.9199522905671 & 1.35904011012287 \tabularnewline
0.37 & 96.1613679265713 & 1.44888839643749 \tabularnewline
0.38 & 96.4162484269306 & 1.53656628582466 \tabularnewline
0.39 & 96.6840049751562 & 1.61871493408158 \tabularnewline
0.4 & 96.9635420749896 & 1.6918402452886 \tabularnewline
0.41 & 97.2532774614997 & 1.75321332518865 \tabularnewline
0.42 & 97.5511992435989 & 1.80022262590883 \tabularnewline
0.43 & 97.8549527485955 & 1.83112008348882 \tabularnewline
0.44 & 98.1619461925441 & 1.84519034589125 \tabularnewline
0.45 & 98.4694631945783 & 1.84219244619 \tabularnewline
0.46 & 98.7747713820963 & 1.82246662448792 \tabularnewline
0.47 & 99.0752193700938 & 1.78714140356976 \tabularnewline
0.48 & 99.3683182745877 & 1.73724170110262 \tabularnewline
0.49 & 99.6518075308983 & 1.67431721878749 \tabularnewline
0.5 & 99.923707215638 & 1.60019287739192 \tabularnewline
0.51 & 100.182359841408 & 1.51665810995945 \tabularnewline
0.52 & 100.426463777572 & 1.42560581938945 \tabularnewline
0.53 & 100.655098604137 & 1.32949207145686 \tabularnewline
0.54 & 100.867740661464 & 1.2304816222418 \tabularnewline
0.55 & 101.064265651088 & 1.13110885399265 \tabularnewline
0.56 & 101.244934950605 & 1.03374314737801 \tabularnewline
0.57 & 101.410363486144 & 0.940687898453831 \tabularnewline
0.58 & 101.561469271367 & 0.853809122315141 \tabularnewline
0.59 & 101.699407451344 & 0.774671103344562 \tabularnewline
0.6 & 101.825494136836 & 0.704131163282745 \tabularnewline
0.61 & 101.941126841315 & 0.642656524176163 \tabularnewline
0.62 & 102.047708594395 & 0.590091851650061 \tabularnewline
0.63 & 102.146581833478 & 0.545793058088324 \tabularnewline
0.64 & 102.23897634408 & 0.508802497466342 \tabularnewline
0.65 & 102.32597340625 & 0.478016124752572 \tabularnewline
0.66 & 102.408486501318 & 0.452258272780164 \tabularnewline
0.67 & 102.487257860044 & 0.43038349572628 \tabularnewline
0.68 & 102.562869911784 & 0.411413623951124 \tabularnewline
0.69 & 102.635771108772 & 0.394469691328574 \tabularnewline
0.7 & 102.706316151126 & 0.378924679568184 \tabularnewline
0.71 & 102.77482067554 & 0.364503411207948 \tabularnewline
0.72 & 102.841629369515 & 0.351095938356323 \tabularnewline
0.73 & 102.907193835507 & 0.33932762154704 \tabularnewline
0.74 & 102.972152377465 & 0.330103290191773 \tabularnewline
0.75 & 103.037398816989 & 0.3251145812461 \tabularnewline
0.76 & 103.10412273174 & 0.326013444946807 \tabularnewline
0.77 & 103.173801010202 & 0.334988378147112 \tabularnewline
0.78 & 103.248122511747 & 0.353208548039379 \tabularnewline
0.79 & 103.328835809556 & 0.380979155121628 \tabularnewline
0.8 & 103.417525234602 & 0.416720687014316 \tabularnewline
0.81 & 103.515341398928 & 0.457184540877704 \tabularnewline
0.82 & 103.622735032633 & 0.497936571180517 \tabularnewline
0.83 & 103.739260986031 & 0.533469881064659 \tabularnewline
0.84 & 103.863525959352 & 0.558686375079666 \tabularnewline
0.85 & 103.993345691644 & 0.569387787914553 \tabularnewline
0.86 & 104.126159765741 & 0.563707108515786 \tabularnewline
0.87 & 104.259740191878 & 0.542638523114763 \tabularnewline
0.88 & 104.393244099449 & 0.510859583425529 \tabularnewline
0.89 & 104.528706334567 & 0.477310653654653 \tabularnewline
0.9 & 104.673093719363 & 0.456950473015909 \tabularnewline
0.91 & 104.840895597089 & 0.474817596770507 \tabularnewline
0.92 & 105.056651272839 & 0.568285263325135 \tabularnewline
0.93 & 105.355622042123 & 0.775168946635417 \tabularnewline
0.94 & 105.779295012056 & 1.10969321075336 \tabularnewline
0.95 & 106.361883638813 & 1.53437363687585 \tabularnewline
0.96 & 107.106841584148 & 1.92774815593926 \tabularnewline
0.97 & 107.960445141979 & 2.08416195982213 \tabularnewline
0.98 & 108.800511860801 & 1.81165550570532 \tabularnewline
0.99 & 109.463470869037 & 1.14928321651114 \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]92.6918654192253[/C][C]0.0379056537291195[/C][/ROW]
[ROW][C]0.02[/C][C]92.715658617264[/C][C]0.065943365847202[/C][/ROW]
[ROW][C]0.03[/C][C]92.7496075036982[/C][C]0.0911988346815688[/C][/ROW]
[ROW][C]0.04[/C][C]92.790243206778[/C][C]0.108199915529484[/C][/ROW]
[ROW][C]0.05[/C][C]92.8338385911286[/C][C]0.116411169787758[/C][/ROW]
[ROW][C]0.06[/C][C]92.8772457217408[/C][C]0.117124581485072[/C][/ROW]
[ROW][C]0.07[/C][C]92.9182663449046[/C][C]0.112294804428513[/C][/ROW]
[ROW][C]0.08[/C][C]92.9557330945301[/C][C]0.104653490361369[/C][/ROW]
[ROW][C]0.09[/C][C]92.989428500996[/C][C]0.0972379647156267[/C][/ROW]
[ROW][C]0.1[/C][C]93.0199157403073[/C][C]0.0931226318834404[/C][/ROW]
[ROW][C]0.11[/C][C]93.0483297576756[/C][C]0.0946470586854535[/C][/ROW]
[ROW][C]0.12[/C][C]93.0761695968456[/C][C]0.103251037807524[/C][/ROW]
[ROW][C]0.13[/C][C]93.1051222662053[/C][C]0.119748231987551[/C][/ROW]
[ROW][C]0.14[/C][C]93.1369296662208[/C][C]0.144325641561424[/C][/ROW]
[ROW][C]0.15[/C][C]93.1732914011547[/C][C]0.176652573079889[/C][/ROW]
[ROW][C]0.16[/C][C]93.215787211187[/C][C]0.216352197016668[/C][/ROW]
[ROW][C]0.17[/C][C]93.2658055407909[/C][C]0.262376291502125[/C][/ROW]
[ROW][C]0.18[/C][C]93.324474799546[/C][C]0.313557102598432[/C][/ROW]
[ROW][C]0.19[/C][C]93.3926043360593[/C][C]0.367943411910763[/C][/ROW]
[ROW][C]0.2[/C][C]93.4706479502787[/C][C]0.423705065021729[/C][/ROW]
[ROW][C]0.21[/C][C]93.5587021265479[/C][C]0.479054268622132[/C][/ROW]
[ROW][C]0.22[/C][C]93.6565451875929[/C][C]0.532499123376356[/C][/ROW]
[ROW][C]0.23[/C][C]93.7637149994662[/C][C]0.58309888482352[/C][/ROW]
[ROW][C]0.24[/C][C]93.8796147689362[/C][C]0.630640540691281[/C][/ROW]
[ROW][C]0.25[/C][C]94.0036312319547[/C][C]0.675462024225649[/C][/ROW]
[ROW][C]0.26[/C][C]94.135248215537[/C][C]0.718901361676365[/C][/ROW]
[ROW][C]0.27[/C][C]94.2741408755206[/C][C]0.762156923534269[/C][/ROW]
[ROW][C]0.28[/C][C]94.4202405593721[/C][C]0.80703319284454[/C][/ROW]
[ROW][C]0.29[/C][C]94.5737655143838[/C][C]0.855008096015377[/C][/ROW]
[ROW][C]0.3[/C][C]94.7352171217233[/C][C]0.907853999837983[/C][/ROW]
[ROW][C]0.31[/C][C]94.9053442669783[/C][C]0.966678850540065[/C][/ROW]
[ROW][C]0.32[/C][C]95.0850799548884[/C][C]1.03233512336734[/C][/ROW]
[ROW][C]0.33[/C][C]95.2754550096578[/C][C]1.10529355096722[/C][/ROW]
[ROW][C]0.34[/C][C]95.4774944733434[/C][C]1.18494607970063[/C][/ROW]
[ROW][C]0.35[/C][C]95.6921036202957[/C][C]1.27004206210214[/C][/ROW]
[ROW][C]0.36[/C][C]95.9199522905671[/C][C]1.35904011012287[/C][/ROW]
[ROW][C]0.37[/C][C]96.1613679265713[/C][C]1.44888839643749[/C][/ROW]
[ROW][C]0.38[/C][C]96.4162484269306[/C][C]1.53656628582466[/C][/ROW]
[ROW][C]0.39[/C][C]96.6840049751562[/C][C]1.61871493408158[/C][/ROW]
[ROW][C]0.4[/C][C]96.9635420749896[/C][C]1.6918402452886[/C][/ROW]
[ROW][C]0.41[/C][C]97.2532774614997[/C][C]1.75321332518865[/C][/ROW]
[ROW][C]0.42[/C][C]97.5511992435989[/C][C]1.80022262590883[/C][/ROW]
[ROW][C]0.43[/C][C]97.8549527485955[/C][C]1.83112008348882[/C][/ROW]
[ROW][C]0.44[/C][C]98.1619461925441[/C][C]1.84519034589125[/C][/ROW]
[ROW][C]0.45[/C][C]98.4694631945783[/C][C]1.84219244619[/C][/ROW]
[ROW][C]0.46[/C][C]98.7747713820963[/C][C]1.82246662448792[/C][/ROW]
[ROW][C]0.47[/C][C]99.0752193700938[/C][C]1.78714140356976[/C][/ROW]
[ROW][C]0.48[/C][C]99.3683182745877[/C][C]1.73724170110262[/C][/ROW]
[ROW][C]0.49[/C][C]99.6518075308983[/C][C]1.67431721878749[/C][/ROW]
[ROW][C]0.5[/C][C]99.923707215638[/C][C]1.60019287739192[/C][/ROW]
[ROW][C]0.51[/C][C]100.182359841408[/C][C]1.51665810995945[/C][/ROW]
[ROW][C]0.52[/C][C]100.426463777572[/C][C]1.42560581938945[/C][/ROW]
[ROW][C]0.53[/C][C]100.655098604137[/C][C]1.32949207145686[/C][/ROW]
[ROW][C]0.54[/C][C]100.867740661464[/C][C]1.2304816222418[/C][/ROW]
[ROW][C]0.55[/C][C]101.064265651088[/C][C]1.13110885399265[/C][/ROW]
[ROW][C]0.56[/C][C]101.244934950605[/C][C]1.03374314737801[/C][/ROW]
[ROW][C]0.57[/C][C]101.410363486144[/C][C]0.940687898453831[/C][/ROW]
[ROW][C]0.58[/C][C]101.561469271367[/C][C]0.853809122315141[/C][/ROW]
[ROW][C]0.59[/C][C]101.699407451344[/C][C]0.774671103344562[/C][/ROW]
[ROW][C]0.6[/C][C]101.825494136836[/C][C]0.704131163282745[/C][/ROW]
[ROW][C]0.61[/C][C]101.941126841315[/C][C]0.642656524176163[/C][/ROW]
[ROW][C]0.62[/C][C]102.047708594395[/C][C]0.590091851650061[/C][/ROW]
[ROW][C]0.63[/C][C]102.146581833478[/C][C]0.545793058088324[/C][/ROW]
[ROW][C]0.64[/C][C]102.23897634408[/C][C]0.508802497466342[/C][/ROW]
[ROW][C]0.65[/C][C]102.32597340625[/C][C]0.478016124752572[/C][/ROW]
[ROW][C]0.66[/C][C]102.408486501318[/C][C]0.452258272780164[/C][/ROW]
[ROW][C]0.67[/C][C]102.487257860044[/C][C]0.43038349572628[/C][/ROW]
[ROW][C]0.68[/C][C]102.562869911784[/C][C]0.411413623951124[/C][/ROW]
[ROW][C]0.69[/C][C]102.635771108772[/C][C]0.394469691328574[/C][/ROW]
[ROW][C]0.7[/C][C]102.706316151126[/C][C]0.378924679568184[/C][/ROW]
[ROW][C]0.71[/C][C]102.77482067554[/C][C]0.364503411207948[/C][/ROW]
[ROW][C]0.72[/C][C]102.841629369515[/C][C]0.351095938356323[/C][/ROW]
[ROW][C]0.73[/C][C]102.907193835507[/C][C]0.33932762154704[/C][/ROW]
[ROW][C]0.74[/C][C]102.972152377465[/C][C]0.330103290191773[/C][/ROW]
[ROW][C]0.75[/C][C]103.037398816989[/C][C]0.3251145812461[/C][/ROW]
[ROW][C]0.76[/C][C]103.10412273174[/C][C]0.326013444946807[/C][/ROW]
[ROW][C]0.77[/C][C]103.173801010202[/C][C]0.334988378147112[/C][/ROW]
[ROW][C]0.78[/C][C]103.248122511747[/C][C]0.353208548039379[/C][/ROW]
[ROW][C]0.79[/C][C]103.328835809556[/C][C]0.380979155121628[/C][/ROW]
[ROW][C]0.8[/C][C]103.417525234602[/C][C]0.416720687014316[/C][/ROW]
[ROW][C]0.81[/C][C]103.515341398928[/C][C]0.457184540877704[/C][/ROW]
[ROW][C]0.82[/C][C]103.622735032633[/C][C]0.497936571180517[/C][/ROW]
[ROW][C]0.83[/C][C]103.739260986031[/C][C]0.533469881064659[/C][/ROW]
[ROW][C]0.84[/C][C]103.863525959352[/C][C]0.558686375079666[/C][/ROW]
[ROW][C]0.85[/C][C]103.993345691644[/C][C]0.569387787914553[/C][/ROW]
[ROW][C]0.86[/C][C]104.126159765741[/C][C]0.563707108515786[/C][/ROW]
[ROW][C]0.87[/C][C]104.259740191878[/C][C]0.542638523114763[/C][/ROW]
[ROW][C]0.88[/C][C]104.393244099449[/C][C]0.510859583425529[/C][/ROW]
[ROW][C]0.89[/C][C]104.528706334567[/C][C]0.477310653654653[/C][/ROW]
[ROW][C]0.9[/C][C]104.673093719363[/C][C]0.456950473015909[/C][/ROW]
[ROW][C]0.91[/C][C]104.840895597089[/C][C]0.474817596770507[/C][/ROW]
[ROW][C]0.92[/C][C]105.056651272839[/C][C]0.568285263325135[/C][/ROW]
[ROW][C]0.93[/C][C]105.355622042123[/C][C]0.775168946635417[/C][/ROW]
[ROW][C]0.94[/C][C]105.779295012056[/C][C]1.10969321075336[/C][/ROW]
[ROW][C]0.95[/C][C]106.361883638813[/C][C]1.53437363687585[/C][/ROW]
[ROW][C]0.96[/C][C]107.106841584148[/C][C]1.92774815593926[/C][/ROW]
[ROW][C]0.97[/C][C]107.960445141979[/C][C]2.08416195982213[/C][/ROW]
[ROW][C]0.98[/C][C]108.800511860801[/C][C]1.81165550570532[/C][/ROW]
[ROW][C]0.99[/C][C]109.463470869037[/C][C]1.14928321651114[/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
0.0192.69186541922530.0379056537291195
0.0292.7156586172640.065943365847202
0.0392.74960750369820.0911988346815688
0.0492.7902432067780.108199915529484
0.0592.83383859112860.116411169787758
0.0692.87724572174080.117124581485072
0.0792.91826634490460.112294804428513
0.0892.95573309453010.104653490361369
0.0992.9894285009960.0972379647156267
0.193.01991574030730.0931226318834404
0.1193.04832975767560.0946470586854535
0.1293.07616959684560.103251037807524
0.1393.10512226620530.119748231987551
0.1493.13692966622080.144325641561424
0.1593.17329140115470.176652573079889
0.1693.2157872111870.216352197016668
0.1793.26580554079090.262376291502125
0.1893.3244747995460.313557102598432
0.1993.39260433605930.367943411910763
0.293.47064795027870.423705065021729
0.2193.55870212654790.479054268622132
0.2293.65654518759290.532499123376356
0.2393.76371499946620.58309888482352
0.2493.87961476893620.630640540691281
0.2594.00363123195470.675462024225649
0.2694.1352482155370.718901361676365
0.2794.27414087552060.762156923534269
0.2894.42024055937210.80703319284454
0.2994.57376551438380.855008096015377
0.394.73521712172330.907853999837983
0.3194.90534426697830.966678850540065
0.3295.08507995488841.03233512336734
0.3395.27545500965781.10529355096722
0.3495.47749447334341.18494607970063
0.3595.69210362029571.27004206210214
0.3695.91995229056711.35904011012287
0.3796.16136792657131.44888839643749
0.3896.41624842693061.53656628582466
0.3996.68400497515621.61871493408158
0.496.96354207498961.6918402452886
0.4197.25327746149971.75321332518865
0.4297.55119924359891.80022262590883
0.4397.85495274859551.83112008348882
0.4498.16194619254411.84519034589125
0.4598.46946319457831.84219244619
0.4698.77477138209631.82246662448792
0.4799.07521937009381.78714140356976
0.4899.36831827458771.73724170110262
0.4999.65180753089831.67431721878749
0.599.9237072156381.60019287739192
0.51100.1823598414081.51665810995945
0.52100.4264637775721.42560581938945
0.53100.6550986041371.32949207145686
0.54100.8677406614641.2304816222418
0.55101.0642656510881.13110885399265
0.56101.2449349506051.03374314737801
0.57101.4103634861440.940687898453831
0.58101.5614692713670.853809122315141
0.59101.6994074513440.774671103344562
0.6101.8254941368360.704131163282745
0.61101.9411268413150.642656524176163
0.62102.0477085943950.590091851650061
0.63102.1465818334780.545793058088324
0.64102.238976344080.508802497466342
0.65102.325973406250.478016124752572
0.66102.4084865013180.452258272780164
0.67102.4872578600440.43038349572628
0.68102.5628699117840.411413623951124
0.69102.6357711087720.394469691328574
0.7102.7063161511260.378924679568184
0.71102.774820675540.364503411207948
0.72102.8416293695150.351095938356323
0.73102.9071938355070.33932762154704
0.74102.9721523774650.330103290191773
0.75103.0373988169890.3251145812461
0.76103.104122731740.326013444946807
0.77103.1738010102020.334988378147112
0.78103.2481225117470.353208548039379
0.79103.3288358095560.380979155121628
0.8103.4175252346020.416720687014316
0.81103.5153413989280.457184540877704
0.82103.6227350326330.497936571180517
0.83103.7392609860310.533469881064659
0.84103.8635259593520.558686375079666
0.85103.9933456916440.569387787914553
0.86104.1261597657410.563707108515786
0.87104.2597401918780.542638523114763
0.88104.3932440994490.510859583425529
0.89104.5287063345670.477310653654653
0.9104.6730937193630.456950473015909
0.91104.8408955970890.474817596770507
0.92105.0566512728390.568285263325135
0.93105.3556220421230.775168946635417
0.94105.7792950120561.10969321075336
0.95106.3618836388131.53437363687585
0.96107.1068415841481.92774815593926
0.97107.9604451419792.08416195982213
0.98108.8005118608011.81165550570532
0.99109.4634708690371.14928321651114


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')