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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, 03 Oct 2013 14:48:20 -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/2013/Oct/03/t1380826163xa8ernesr4git8m.htm/, Retrieved Thu, 02 May 2024 04:14:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212984, Retrieved Thu, 02 May 2024 04:14:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact95

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] [] [2013-10-03 18:48:20] [ccf63754fa7d22a76bdef567828ba364] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9.27
9.30
9.35
9.33
9.37
9.42
9.45
9.38
9.40
9.43
9.45
9.49
9.47
9.48
9.52
9.53
9.53
9.54
9.57
9.61
9.61
9.63
9.64
9.60
9.64
9.66
9.67
9.70
9.72
9.73
9.77
9.72
9.68
9.62
9.79
9.77
9.79
9.77
9.78
9.81
9.74
9.70
9.78
9.85
9.83
9.90
9.93
9.85
9.95
9.97
10.02
9.97
9.95
9.95
9.98
10.00
10.04
10.05
10.06
10.09
10.14
10.13
10.12
10.10
10.12
10.06
10.21
10.18
10.26
10.39
10.41
10.46

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212984&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212984&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212984&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.019.280557580401270.0294044711861695
0.029.297157295403840.0303043022555181
0.039.315132247057460.031276710128192
0.049.332074429081810.0315967274865235
0.059.347425058118440.0316825815916174
0.069.361378660090260.0320005699135581
0.079.37428390407760.0326117711217252
0.089.386435596288650.0333577161780473
0.099.39802944024860.0340236217909248
0.19.409176563182450.0345013699511829
0.119.419939014466950.0348271513045853
0.129.430365052550690.0351453163027492
0.139.440511760378320.0356037992820829
0.149.450451522702740.0363174008149975
0.159.460266032420030.0372909401243276
0.169.470034679431830.0385032450203704
0.179.479823593404950.0398633315326778
0.189.489678889475720.041280503658474
0.199.499624667653310.0426579341055068
0.29.509664325586680.0439507293223862
0.219.519783191482290.0450899059161727
0.229.529951086532510.0460290746000996
0.239.540124523507470.0466948425769408
0.249.550249161240440.0470139855808151
0.259.560263435338350.0469520064480146
0.269.570103910805430.0465014638232559
0.279.579712107090310.045685983542816
0.289.589041738628320.044604486833844
0.299.598064860187630.0433859045577848
0.39.606775485960820.0421617045790328
0.319.61518981459030.0410701961950882
0.329.623343015179490.0402139517649997
0.339.631283325290630.0396640413317721
0.349.639064744338280.0394008618595205
0.359.646739758479980.0394119850460445
0.369.654353323599910.0395839922516334
0.379.661938878733720.039869094060078
0.389.669516624200890.0401736619502585
0.399.677093826458560.0404306731452095
0.49.684666606499770.0405979589606095
0.419.692222568436450.0406501005201154
0.429.699743708622510.0405455268970433
0.439.707209249711530.0403058897312543
0.449.714598284668160.0399296462764621
0.459.721892311810890.0394477714089149
0.469.729077834247410.0388617935597401
0.479.736149161158710.0382287494644445
0.489.743111398805640.0376114983769811
0.499.74998340381030.0371002230794836
0.59.756800257750890.036793477428184
0.519.763614678989720.0368018586103403
0.529.770496766410180.0372463679185354
0.539.777531592113660.0382069061010057
0.549.784814414296680.0397634343752246
0.559.7924436272810.0419096425831646
0.569.800511945770460.0445609483266061
0.579.809096673522990.0476065570153599
0.589.818250177420720.0508591418908063
0.599.827991832135840.0541036969354863
0.69.838302685953220.0571033361654238
0.619.849123904558280.0596175210025305
0.629.860359671321150.0614544664233104
0.639.871884676601930.062470363464928
0.649.883555663712590.0625823147842146
0.659.895225803041940.0618108460616967
0.669.906760061635570.0602784907020714
0.679.918049363760850.058146176169117
0.689.9290213241680.0556539564708072
0.699.939645750676530.053078414050002
0.79.949933937734150.0506644810763382
0.719.959931882967850.0486148576883999
0.729.96970873466690.0470397107407549
0.739.97934274604350.0459500461591024
0.749.98890751053120.0452565639830428
0.759.998461108977920.044821344170235
0.7610.00804000048230.0444718541086607
0.7710.0176582174910.0440772928510966
0.7810.02731105062160.0435457814146761
0.7910.03698140066850.0428448962706939
0.810.04664676111310.0419783554050206
0.8110.05628557205070.0409762962419497
0.8210.06588326746810.0398816232777897
0.8310.07544010615480.0387238127842885
0.8410.08498394458360.0375650193892273
0.8510.09459069457840.0365416742950639
0.8610.10441311976350.0358866435646944
0.8710.11471558081190.0360007246178483
0.8810.12590965793750.03738229305991
0.8910.13858386910620.0405406982620687
0.910.15351787790710.0458593419560489
0.9110.17166221687720.0535217722554188
0.9210.19404473367380.0634170368952682
0.9310.22154616592520.0748390795021274
0.9410.25451190600180.0858460773868585
0.9510.29229292257570.0928520404493701
0.9610.3330099212880.0914599025124206
0.9710.37384209220430.0795102601654254
0.9810.41154522997560.0615723252429442
0.9910.44211825371310.0497918730804633

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9.28055758040127 & 0.0294044711861695 \tabularnewline
0.02 & 9.29715729540384 & 0.0303043022555181 \tabularnewline
0.03 & 9.31513224705746 & 0.031276710128192 \tabularnewline
0.04 & 9.33207442908181 & 0.0315967274865235 \tabularnewline
0.05 & 9.34742505811844 & 0.0316825815916174 \tabularnewline
0.06 & 9.36137866009026 & 0.0320005699135581 \tabularnewline
0.07 & 9.3742839040776 & 0.0326117711217252 \tabularnewline
0.08 & 9.38643559628865 & 0.0333577161780473 \tabularnewline
0.09 & 9.3980294402486 & 0.0340236217909248 \tabularnewline
0.1 & 9.40917656318245 & 0.0345013699511829 \tabularnewline
0.11 & 9.41993901446695 & 0.0348271513045853 \tabularnewline
0.12 & 9.43036505255069 & 0.0351453163027492 \tabularnewline
0.13 & 9.44051176037832 & 0.0356037992820829 \tabularnewline
0.14 & 9.45045152270274 & 0.0363174008149975 \tabularnewline
0.15 & 9.46026603242003 & 0.0372909401243276 \tabularnewline
0.16 & 9.47003467943183 & 0.0385032450203704 \tabularnewline
0.17 & 9.47982359340495 & 0.0398633315326778 \tabularnewline
0.18 & 9.48967888947572 & 0.041280503658474 \tabularnewline
0.19 & 9.49962466765331 & 0.0426579341055068 \tabularnewline
0.2 & 9.50966432558668 & 0.0439507293223862 \tabularnewline
0.21 & 9.51978319148229 & 0.0450899059161727 \tabularnewline
0.22 & 9.52995108653251 & 0.0460290746000996 \tabularnewline
0.23 & 9.54012452350747 & 0.0466948425769408 \tabularnewline
0.24 & 9.55024916124044 & 0.0470139855808151 \tabularnewline
0.25 & 9.56026343533835 & 0.0469520064480146 \tabularnewline
0.26 & 9.57010391080543 & 0.0465014638232559 \tabularnewline
0.27 & 9.57971210709031 & 0.045685983542816 \tabularnewline
0.28 & 9.58904173862832 & 0.044604486833844 \tabularnewline
0.29 & 9.59806486018763 & 0.0433859045577848 \tabularnewline
0.3 & 9.60677548596082 & 0.0421617045790328 \tabularnewline
0.31 & 9.6151898145903 & 0.0410701961950882 \tabularnewline
0.32 & 9.62334301517949 & 0.0402139517649997 \tabularnewline
0.33 & 9.63128332529063 & 0.0396640413317721 \tabularnewline
0.34 & 9.63906474433828 & 0.0394008618595205 \tabularnewline
0.35 & 9.64673975847998 & 0.0394119850460445 \tabularnewline
0.36 & 9.65435332359991 & 0.0395839922516334 \tabularnewline
0.37 & 9.66193887873372 & 0.039869094060078 \tabularnewline
0.38 & 9.66951662420089 & 0.0401736619502585 \tabularnewline
0.39 & 9.67709382645856 & 0.0404306731452095 \tabularnewline
0.4 & 9.68466660649977 & 0.0405979589606095 \tabularnewline
0.41 & 9.69222256843645 & 0.0406501005201154 \tabularnewline
0.42 & 9.69974370862251 & 0.0405455268970433 \tabularnewline
0.43 & 9.70720924971153 & 0.0403058897312543 \tabularnewline
0.44 & 9.71459828466816 & 0.0399296462764621 \tabularnewline
0.45 & 9.72189231181089 & 0.0394477714089149 \tabularnewline
0.46 & 9.72907783424741 & 0.0388617935597401 \tabularnewline
0.47 & 9.73614916115871 & 0.0382287494644445 \tabularnewline
0.48 & 9.74311139880564 & 0.0376114983769811 \tabularnewline
0.49 & 9.7499834038103 & 0.0371002230794836 \tabularnewline
0.5 & 9.75680025775089 & 0.036793477428184 \tabularnewline
0.51 & 9.76361467898972 & 0.0368018586103403 \tabularnewline
0.52 & 9.77049676641018 & 0.0372463679185354 \tabularnewline
0.53 & 9.77753159211366 & 0.0382069061010057 \tabularnewline
0.54 & 9.78481441429668 & 0.0397634343752246 \tabularnewline
0.55 & 9.792443627281 & 0.0419096425831646 \tabularnewline
0.56 & 9.80051194577046 & 0.0445609483266061 \tabularnewline
0.57 & 9.80909667352299 & 0.0476065570153599 \tabularnewline
0.58 & 9.81825017742072 & 0.0508591418908063 \tabularnewline
0.59 & 9.82799183213584 & 0.0541036969354863 \tabularnewline
0.6 & 9.83830268595322 & 0.0571033361654238 \tabularnewline
0.61 & 9.84912390455828 & 0.0596175210025305 \tabularnewline
0.62 & 9.86035967132115 & 0.0614544664233104 \tabularnewline
0.63 & 9.87188467660193 & 0.062470363464928 \tabularnewline
0.64 & 9.88355566371259 & 0.0625823147842146 \tabularnewline
0.65 & 9.89522580304194 & 0.0618108460616967 \tabularnewline
0.66 & 9.90676006163557 & 0.0602784907020714 \tabularnewline
0.67 & 9.91804936376085 & 0.058146176169117 \tabularnewline
0.68 & 9.929021324168 & 0.0556539564708072 \tabularnewline
0.69 & 9.93964575067653 & 0.053078414050002 \tabularnewline
0.7 & 9.94993393773415 & 0.0506644810763382 \tabularnewline
0.71 & 9.95993188296785 & 0.0486148576883999 \tabularnewline
0.72 & 9.9697087346669 & 0.0470397107407549 \tabularnewline
0.73 & 9.9793427460435 & 0.0459500461591024 \tabularnewline
0.74 & 9.9889075105312 & 0.0452565639830428 \tabularnewline
0.75 & 9.99846110897792 & 0.044821344170235 \tabularnewline
0.76 & 10.0080400004823 & 0.0444718541086607 \tabularnewline
0.77 & 10.017658217491 & 0.0440772928510966 \tabularnewline
0.78 & 10.0273110506216 & 0.0435457814146761 \tabularnewline
0.79 & 10.0369814006685 & 0.0428448962706939 \tabularnewline
0.8 & 10.0466467611131 & 0.0419783554050206 \tabularnewline
0.81 & 10.0562855720507 & 0.0409762962419497 \tabularnewline
0.82 & 10.0658832674681 & 0.0398816232777897 \tabularnewline
0.83 & 10.0754401061548 & 0.0387238127842885 \tabularnewline
0.84 & 10.0849839445836 & 0.0375650193892273 \tabularnewline
0.85 & 10.0945906945784 & 0.0365416742950639 \tabularnewline
0.86 & 10.1044131197635 & 0.0358866435646944 \tabularnewline
0.87 & 10.1147155808119 & 0.0360007246178483 \tabularnewline
0.88 & 10.1259096579375 & 0.03738229305991 \tabularnewline
0.89 & 10.1385838691062 & 0.0405406982620687 \tabularnewline
0.9 & 10.1535178779071 & 0.0458593419560489 \tabularnewline
0.91 & 10.1716622168772 & 0.0535217722554188 \tabularnewline
0.92 & 10.1940447336738 & 0.0634170368952682 \tabularnewline
0.93 & 10.2215461659252 & 0.0748390795021274 \tabularnewline
0.94 & 10.2545119060018 & 0.0858460773868585 \tabularnewline
0.95 & 10.2922929225757 & 0.0928520404493701 \tabularnewline
0.96 & 10.333009921288 & 0.0914599025124206 \tabularnewline
0.97 & 10.3738420922043 & 0.0795102601654254 \tabularnewline
0.98 & 10.4115452299756 & 0.0615723252429442 \tabularnewline
0.99 & 10.4421182537131 & 0.0497918730804633 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212984&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]9.28055758040127[/C][C]0.0294044711861695[/C][/ROW]
[ROW][C]0.02[/C][C]9.29715729540384[/C][C]0.0303043022555181[/C][/ROW]
[ROW][C]0.03[/C][C]9.31513224705746[/C][C]0.031276710128192[/C][/ROW]
[ROW][C]0.04[/C][C]9.33207442908181[/C][C]0.0315967274865235[/C][/ROW]
[ROW][C]0.05[/C][C]9.34742505811844[/C][C]0.0316825815916174[/C][/ROW]
[ROW][C]0.06[/C][C]9.36137866009026[/C][C]0.0320005699135581[/C][/ROW]
[ROW][C]0.07[/C][C]9.3742839040776[/C][C]0.0326117711217252[/C][/ROW]
[ROW][C]0.08[/C][C]9.38643559628865[/C][C]0.0333577161780473[/C][/ROW]
[ROW][C]0.09[/C][C]9.3980294402486[/C][C]0.0340236217909248[/C][/ROW]
[ROW][C]0.1[/C][C]9.40917656318245[/C][C]0.0345013699511829[/C][/ROW]
[ROW][C]0.11[/C][C]9.41993901446695[/C][C]0.0348271513045853[/C][/ROW]
[ROW][C]0.12[/C][C]9.43036505255069[/C][C]0.0351453163027492[/C][/ROW]
[ROW][C]0.13[/C][C]9.44051176037832[/C][C]0.0356037992820829[/C][/ROW]
[ROW][C]0.14[/C][C]9.45045152270274[/C][C]0.0363174008149975[/C][/ROW]
[ROW][C]0.15[/C][C]9.46026603242003[/C][C]0.0372909401243276[/C][/ROW]
[ROW][C]0.16[/C][C]9.47003467943183[/C][C]0.0385032450203704[/C][/ROW]
[ROW][C]0.17[/C][C]9.47982359340495[/C][C]0.0398633315326778[/C][/ROW]
[ROW][C]0.18[/C][C]9.48967888947572[/C][C]0.041280503658474[/C][/ROW]
[ROW][C]0.19[/C][C]9.49962466765331[/C][C]0.0426579341055068[/C][/ROW]
[ROW][C]0.2[/C][C]9.50966432558668[/C][C]0.0439507293223862[/C][/ROW]
[ROW][C]0.21[/C][C]9.51978319148229[/C][C]0.0450899059161727[/C][/ROW]
[ROW][C]0.22[/C][C]9.52995108653251[/C][C]0.0460290746000996[/C][/ROW]
[ROW][C]0.23[/C][C]9.54012452350747[/C][C]0.0466948425769408[/C][/ROW]
[ROW][C]0.24[/C][C]9.55024916124044[/C][C]0.0470139855808151[/C][/ROW]
[ROW][C]0.25[/C][C]9.56026343533835[/C][C]0.0469520064480146[/C][/ROW]
[ROW][C]0.26[/C][C]9.57010391080543[/C][C]0.0465014638232559[/C][/ROW]
[ROW][C]0.27[/C][C]9.57971210709031[/C][C]0.045685983542816[/C][/ROW]
[ROW][C]0.28[/C][C]9.58904173862832[/C][C]0.044604486833844[/C][/ROW]
[ROW][C]0.29[/C][C]9.59806486018763[/C][C]0.0433859045577848[/C][/ROW]
[ROW][C]0.3[/C][C]9.60677548596082[/C][C]0.0421617045790328[/C][/ROW]
[ROW][C]0.31[/C][C]9.6151898145903[/C][C]0.0410701961950882[/C][/ROW]
[ROW][C]0.32[/C][C]9.62334301517949[/C][C]0.0402139517649997[/C][/ROW]
[ROW][C]0.33[/C][C]9.63128332529063[/C][C]0.0396640413317721[/C][/ROW]
[ROW][C]0.34[/C][C]9.63906474433828[/C][C]0.0394008618595205[/C][/ROW]
[ROW][C]0.35[/C][C]9.64673975847998[/C][C]0.0394119850460445[/C][/ROW]
[ROW][C]0.36[/C][C]9.65435332359991[/C][C]0.0395839922516334[/C][/ROW]
[ROW][C]0.37[/C][C]9.66193887873372[/C][C]0.039869094060078[/C][/ROW]
[ROW][C]0.38[/C][C]9.66951662420089[/C][C]0.0401736619502585[/C][/ROW]
[ROW][C]0.39[/C][C]9.67709382645856[/C][C]0.0404306731452095[/C][/ROW]
[ROW][C]0.4[/C][C]9.68466660649977[/C][C]0.0405979589606095[/C][/ROW]
[ROW][C]0.41[/C][C]9.69222256843645[/C][C]0.0406501005201154[/C][/ROW]
[ROW][C]0.42[/C][C]9.69974370862251[/C][C]0.0405455268970433[/C][/ROW]
[ROW][C]0.43[/C][C]9.70720924971153[/C][C]0.0403058897312543[/C][/ROW]
[ROW][C]0.44[/C][C]9.71459828466816[/C][C]0.0399296462764621[/C][/ROW]
[ROW][C]0.45[/C][C]9.72189231181089[/C][C]0.0394477714089149[/C][/ROW]
[ROW][C]0.46[/C][C]9.72907783424741[/C][C]0.0388617935597401[/C][/ROW]
[ROW][C]0.47[/C][C]9.73614916115871[/C][C]0.0382287494644445[/C][/ROW]
[ROW][C]0.48[/C][C]9.74311139880564[/C][C]0.0376114983769811[/C][/ROW]
[ROW][C]0.49[/C][C]9.7499834038103[/C][C]0.0371002230794836[/C][/ROW]
[ROW][C]0.5[/C][C]9.75680025775089[/C][C]0.036793477428184[/C][/ROW]
[ROW][C]0.51[/C][C]9.76361467898972[/C][C]0.0368018586103403[/C][/ROW]
[ROW][C]0.52[/C][C]9.77049676641018[/C][C]0.0372463679185354[/C][/ROW]
[ROW][C]0.53[/C][C]9.77753159211366[/C][C]0.0382069061010057[/C][/ROW]
[ROW][C]0.54[/C][C]9.78481441429668[/C][C]0.0397634343752246[/C][/ROW]
[ROW][C]0.55[/C][C]9.792443627281[/C][C]0.0419096425831646[/C][/ROW]
[ROW][C]0.56[/C][C]9.80051194577046[/C][C]0.0445609483266061[/C][/ROW]
[ROW][C]0.57[/C][C]9.80909667352299[/C][C]0.0476065570153599[/C][/ROW]
[ROW][C]0.58[/C][C]9.81825017742072[/C][C]0.0508591418908063[/C][/ROW]
[ROW][C]0.59[/C][C]9.82799183213584[/C][C]0.0541036969354863[/C][/ROW]
[ROW][C]0.6[/C][C]9.83830268595322[/C][C]0.0571033361654238[/C][/ROW]
[ROW][C]0.61[/C][C]9.84912390455828[/C][C]0.0596175210025305[/C][/ROW]
[ROW][C]0.62[/C][C]9.86035967132115[/C][C]0.0614544664233104[/C][/ROW]
[ROW][C]0.63[/C][C]9.87188467660193[/C][C]0.062470363464928[/C][/ROW]
[ROW][C]0.64[/C][C]9.88355566371259[/C][C]0.0625823147842146[/C][/ROW]
[ROW][C]0.65[/C][C]9.89522580304194[/C][C]0.0618108460616967[/C][/ROW]
[ROW][C]0.66[/C][C]9.90676006163557[/C][C]0.0602784907020714[/C][/ROW]
[ROW][C]0.67[/C][C]9.91804936376085[/C][C]0.058146176169117[/C][/ROW]
[ROW][C]0.68[/C][C]9.929021324168[/C][C]0.0556539564708072[/C][/ROW]
[ROW][C]0.69[/C][C]9.93964575067653[/C][C]0.053078414050002[/C][/ROW]
[ROW][C]0.7[/C][C]9.94993393773415[/C][C]0.0506644810763382[/C][/ROW]
[ROW][C]0.71[/C][C]9.95993188296785[/C][C]0.0486148576883999[/C][/ROW]
[ROW][C]0.72[/C][C]9.9697087346669[/C][C]0.0470397107407549[/C][/ROW]
[ROW][C]0.73[/C][C]9.9793427460435[/C][C]0.0459500461591024[/C][/ROW]
[ROW][C]0.74[/C][C]9.9889075105312[/C][C]0.0452565639830428[/C][/ROW]
[ROW][C]0.75[/C][C]9.99846110897792[/C][C]0.044821344170235[/C][/ROW]
[ROW][C]0.76[/C][C]10.0080400004823[/C][C]0.0444718541086607[/C][/ROW]
[ROW][C]0.77[/C][C]10.017658217491[/C][C]0.0440772928510966[/C][/ROW]
[ROW][C]0.78[/C][C]10.0273110506216[/C][C]0.0435457814146761[/C][/ROW]
[ROW][C]0.79[/C][C]10.0369814006685[/C][C]0.0428448962706939[/C][/ROW]
[ROW][C]0.8[/C][C]10.0466467611131[/C][C]0.0419783554050206[/C][/ROW]
[ROW][C]0.81[/C][C]10.0562855720507[/C][C]0.0409762962419497[/C][/ROW]
[ROW][C]0.82[/C][C]10.0658832674681[/C][C]0.0398816232777897[/C][/ROW]
[ROW][C]0.83[/C][C]10.0754401061548[/C][C]0.0387238127842885[/C][/ROW]
[ROW][C]0.84[/C][C]10.0849839445836[/C][C]0.0375650193892273[/C][/ROW]
[ROW][C]0.85[/C][C]10.0945906945784[/C][C]0.0365416742950639[/C][/ROW]
[ROW][C]0.86[/C][C]10.1044131197635[/C][C]0.0358866435646944[/C][/ROW]
[ROW][C]0.87[/C][C]10.1147155808119[/C][C]0.0360007246178483[/C][/ROW]
[ROW][C]0.88[/C][C]10.1259096579375[/C][C]0.03738229305991[/C][/ROW]
[ROW][C]0.89[/C][C]10.1385838691062[/C][C]0.0405406982620687[/C][/ROW]
[ROW][C]0.9[/C][C]10.1535178779071[/C][C]0.0458593419560489[/C][/ROW]
[ROW][C]0.91[/C][C]10.1716622168772[/C][C]0.0535217722554188[/C][/ROW]
[ROW][C]0.92[/C][C]10.1940447336738[/C][C]0.0634170368952682[/C][/ROW]
[ROW][C]0.93[/C][C]10.2215461659252[/C][C]0.0748390795021274[/C][/ROW]
[ROW][C]0.94[/C][C]10.2545119060018[/C][C]0.0858460773868585[/C][/ROW]
[ROW][C]0.95[/C][C]10.2922929225757[/C][C]0.0928520404493701[/C][/ROW]
[ROW][C]0.96[/C][C]10.333009921288[/C][C]0.0914599025124206[/C][/ROW]
[ROW][C]0.97[/C][C]10.3738420922043[/C][C]0.0795102601654254[/C][/ROW]
[ROW][C]0.98[/C][C]10.4115452299756[/C][C]0.0615723252429442[/C][/ROW]
[ROW][C]0.99[/C][C]10.4421182537131[/C][C]0.0497918730804633[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212984&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212984&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
0.019.280557580401270.0294044711861695
0.029.297157295403840.0303043022555181
0.039.315132247057460.031276710128192
0.049.332074429081810.0315967274865235
0.059.347425058118440.0316825815916174
0.069.361378660090260.0320005699135581
0.079.37428390407760.0326117711217252
0.089.386435596288650.0333577161780473
0.099.39802944024860.0340236217909248
0.19.409176563182450.0345013699511829
0.119.419939014466950.0348271513045853
0.129.430365052550690.0351453163027492
0.139.440511760378320.0356037992820829
0.149.450451522702740.0363174008149975
0.159.460266032420030.0372909401243276
0.169.470034679431830.0385032450203704
0.179.479823593404950.0398633315326778
0.189.489678889475720.041280503658474
0.199.499624667653310.0426579341055068
0.29.509664325586680.0439507293223862
0.219.519783191482290.0450899059161727
0.229.529951086532510.0460290746000996
0.239.540124523507470.0466948425769408
0.249.550249161240440.0470139855808151
0.259.560263435338350.0469520064480146
0.269.570103910805430.0465014638232559
0.279.579712107090310.045685983542816
0.289.589041738628320.044604486833844
0.299.598064860187630.0433859045577848
0.39.606775485960820.0421617045790328
0.319.61518981459030.0410701961950882
0.329.623343015179490.0402139517649997
0.339.631283325290630.0396640413317721
0.349.639064744338280.0394008618595205
0.359.646739758479980.0394119850460445
0.369.654353323599910.0395839922516334
0.379.661938878733720.039869094060078
0.389.669516624200890.0401736619502585
0.399.677093826458560.0404306731452095
0.49.684666606499770.0405979589606095
0.419.692222568436450.0406501005201154
0.429.699743708622510.0405455268970433
0.439.707209249711530.0403058897312543
0.449.714598284668160.0399296462764621
0.459.721892311810890.0394477714089149
0.469.729077834247410.0388617935597401
0.479.736149161158710.0382287494644445
0.489.743111398805640.0376114983769811
0.499.74998340381030.0371002230794836
0.59.756800257750890.036793477428184
0.519.763614678989720.0368018586103403
0.529.770496766410180.0372463679185354
0.539.777531592113660.0382069061010057
0.549.784814414296680.0397634343752246
0.559.7924436272810.0419096425831646
0.569.800511945770460.0445609483266061
0.579.809096673522990.0476065570153599
0.589.818250177420720.0508591418908063
0.599.827991832135840.0541036969354863
0.69.838302685953220.0571033361654238
0.619.849123904558280.0596175210025305
0.629.860359671321150.0614544664233104
0.639.871884676601930.062470363464928
0.649.883555663712590.0625823147842146
0.659.895225803041940.0618108460616967
0.669.906760061635570.0602784907020714
0.679.918049363760850.058146176169117
0.689.9290213241680.0556539564708072
0.699.939645750676530.053078414050002
0.79.949933937734150.0506644810763382
0.719.959931882967850.0486148576883999
0.729.96970873466690.0470397107407549
0.739.97934274604350.0459500461591024
0.749.98890751053120.0452565639830428
0.759.998461108977920.044821344170235
0.7610.00804000048230.0444718541086607
0.7710.0176582174910.0440772928510966
0.7810.02731105062160.0435457814146761
0.7910.03698140066850.0428448962706939
0.810.04664676111310.0419783554050206
0.8110.05628557205070.0409762962419497
0.8210.06588326746810.0398816232777897
0.8310.07544010615480.0387238127842885
0.8410.08498394458360.0375650193892273
0.8510.09459069457840.0365416742950639
0.8610.10441311976350.0358866435646944
0.8710.11471558081190.0360007246178483
0.8810.12590965793750.03738229305991
0.8910.13858386910620.0405406982620687
0.910.15351787790710.0458593419560489
0.9110.17166221687720.0535217722554188
0.9210.19404473367380.0634170368952682
0.9310.22154616592520.0748390795021274
0.9410.25451190600180.0858460773868585
0.9510.29229292257570.0928520404493701
0.9610.3330099212880.0914599025124206
0.9710.37384209220430.0795102601654254
0.9810.41154522997560.0615723252429442
0.9910.44211825371310.0497918730804633


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')