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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 computationTue, 05 Nov 2013 09:21:32 -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/2013/Nov/05/t1383661378fbg1q9uzo9jd0ax.htm/, Retrieved Sun, 28 Apr 2024 23:34:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=222615, Retrieved Sun, 28 Apr 2024 23:34:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact70

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] [Kwantielen Consum...] [2013-11-05 14:21:32] [45baafc513cf820e9f0a314ccf5f72d1] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
31.5
31.29
31.3
31.06
31.09
31.11
31.13
31.1
31.03
30.74
30.83
30.82
30.8
30.74
30.71
30.58
30.71
30.7
30.7
30.72
30.68
30.78
30.84
30.8
30.8
30.88
30.87
30.92
30.82
30.75
30.75
30.75
30.63
30.52
30.58
30.6
30.6
30.63
30.56
30.61
30.53
30.6
30.6
30.63
30.66
30.34
30.32
30.3
30.3
30.08
29.96
29.91
29.83
29.89
29.85
30.06
29.83
29.95
30.02
30.03
30.03
29.96
29.85
30.12
29.91
29.9
29.92
29.89
29.96
29.72
29.6
29.54
29.54
29.54
29.48
29.55
29.58
29.6
29.6
29.56
29.7
29.76
29.24
29.28

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=222615&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=222615&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=222615&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
0.0129.27433985781610.0825294194230864
0.0229.33709377562360.117130562063411
0.0329.40603044570680.110413293554532
0.0429.46335545381460.0808722783290471
0.0529.50335303969430.0521804730633794
0.0629.5289681367950.034868437263833
0.0729.54594822916310.0295583290542373
0.0829.55926032979810.032302602086043
0.0929.57210774209050.0391992321638095
0.129.58624019690910.0483859598485504
0.1129.60250581257340.058893077501072
0.1229.62122590430180.0698694617163204
0.1329.64236189660820.0801606233926474
0.1429.66557384211130.0886365029664554
0.1529.69026625484640.094299270868199
0.1629.71566868360040.0966124325706637
0.1729.74095122356690.0955705440030075
0.1829.76534795922640.0916731342727004
0.1929.78825687854350.0857015537878105
0.229.80929609580560.0786196274456671
0.2129.8283128741980.0713206368914523
0.2229.84535546609410.0645179595361844
0.2329.86062420706690.0587518915509644
0.2429.87441788094810.0543000803090308
0.2529.88708678349570.0513770281582142
0.2629.89899818955590.0499924736605215
0.2729.91051519333380.0501149567763167
0.2829.92198697512280.0517761806506233
0.2929.93374728089670.0548532483610529
0.329.94611765953170.0594063861583345
0.3129.95941218994450.0654547518941221
0.3229.97394073274680.0730040533096385
0.3329.99000814138760.0820883827525804
0.3430.00790751035420.0926558315063994
0.3530.02790655111990.1045930677148
0.3630.05022755359690.117530926112115
0.3730.07502291261330.131133963989078
0.3830.10234954615280.144797723772287
0.3930.13214635764840.157760692935004
0.430.16421895667930.169358220396945
0.4130.19823509999980.178890064352237
0.4230.23373290284070.185667770187482
0.4330.2701421011740.189210675530691
0.4430.30681686570410.189202298607117
0.4530.34307716788220.185617995883374
0.4630.37825465403430.17857936609779
0.4730.41173846044260.16849072436708
0.4830.44301639387540.155962787869912
0.4930.47170737695820.141688476023572
0.530.49758197645830.126521872471012
0.5130.52056913147960.111269846165174
0.5230.54074875894670.0967150466370645
0.5330.55833154593550.0835009226941932
0.5430.57362870281260.0721289473999957
0.5530.58701551337260.0628740910887611
0.5630.59889301446420.0558298683857928
0.5730.60965202002630.0509262696283812
0.5830.61964304578910.0478208479131014
0.5930.6291546505720.0461590501635354
0.630.63840148062970.0453712814045132
0.6130.64752206312170.0450896910791511
0.6230.65658528321910.0449071746016219
0.6330.66560359745950.0445743224415721
0.6430.67455045571860.043935961653016
0.6530.68337917288350.0429513516299864
0.6630.69204062249010.0416607774179908
0.6730.70049758262190.0402024335308643
0.6830.70873426000920.0386405314986786
0.6930.71676032776540.0372214666317836
0.730.72460961736490.0360101099439396
0.7130.73233433283750.0351234301427881
0.7230.73999628625210.0345509519165285
0.7330.74765719243530.0342856559021551
0.7430.75537047537990.0342456360680386
0.7530.76317721847950.034316316503723
0.7630.77110866334720.0344233843371447
0.7730.77919687486160.0345223711552224
0.7830.78749380796910.03468693171381
0.7930.79609715169960.0351285389606723
0.830.80517918116620.0361552874290468
0.8130.81501255413390.038224459593161
0.8230.82598459816260.0418013405060672
0.8330.83858939959120.0472605399253771
0.8430.85338597983160.0547387424535096
0.8530.87091342319920.0639045073773772
0.8630.8915634379760.0739936614721636
0.8730.91543006490140.0836204847517498
0.8830.94218346981250.0910664644821215
0.8930.97104097102050.0946062478994006
0.931.00091658265190.0932295557084462
0.9131.03079796866170.087237973931296
0.9231.06030537385310.078886994717577
0.9331.0902293238840.0724400538049177
0.9431.12269938332310.0728221402883168
0.9531.16075175220980.0812175341801029
0.9631.2077336306550.0920050405508282
0.9731.26756967060220.0994033828155134
0.9831.34437700305450.112854304661699
0.9931.43303643940440.152491917831028

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 29.2743398578161 & 0.0825294194230864 \tabularnewline
0.02 & 29.3370937756236 & 0.117130562063411 \tabularnewline
0.03 & 29.4060304457068 & 0.110413293554532 \tabularnewline
0.04 & 29.4633554538146 & 0.0808722783290471 \tabularnewline
0.05 & 29.5033530396943 & 0.0521804730633794 \tabularnewline
0.06 & 29.528968136795 & 0.034868437263833 \tabularnewline
0.07 & 29.5459482291631 & 0.0295583290542373 \tabularnewline
0.08 & 29.5592603297981 & 0.032302602086043 \tabularnewline
0.09 & 29.5721077420905 & 0.0391992321638095 \tabularnewline
0.1 & 29.5862401969091 & 0.0483859598485504 \tabularnewline
0.11 & 29.6025058125734 & 0.058893077501072 \tabularnewline
0.12 & 29.6212259043018 & 0.0698694617163204 \tabularnewline
0.13 & 29.6423618966082 & 0.0801606233926474 \tabularnewline
0.14 & 29.6655738421113 & 0.0886365029664554 \tabularnewline
0.15 & 29.6902662548464 & 0.094299270868199 \tabularnewline
0.16 & 29.7156686836004 & 0.0966124325706637 \tabularnewline
0.17 & 29.7409512235669 & 0.0955705440030075 \tabularnewline
0.18 & 29.7653479592264 & 0.0916731342727004 \tabularnewline
0.19 & 29.7882568785435 & 0.0857015537878105 \tabularnewline
0.2 & 29.8092960958056 & 0.0786196274456671 \tabularnewline
0.21 & 29.828312874198 & 0.0713206368914523 \tabularnewline
0.22 & 29.8453554660941 & 0.0645179595361844 \tabularnewline
0.23 & 29.8606242070669 & 0.0587518915509644 \tabularnewline
0.24 & 29.8744178809481 & 0.0543000803090308 \tabularnewline
0.25 & 29.8870867834957 & 0.0513770281582142 \tabularnewline
0.26 & 29.8989981895559 & 0.0499924736605215 \tabularnewline
0.27 & 29.9105151933338 & 0.0501149567763167 \tabularnewline
0.28 & 29.9219869751228 & 0.0517761806506233 \tabularnewline
0.29 & 29.9337472808967 & 0.0548532483610529 \tabularnewline
0.3 & 29.9461176595317 & 0.0594063861583345 \tabularnewline
0.31 & 29.9594121899445 & 0.0654547518941221 \tabularnewline
0.32 & 29.9739407327468 & 0.0730040533096385 \tabularnewline
0.33 & 29.9900081413876 & 0.0820883827525804 \tabularnewline
0.34 & 30.0079075103542 & 0.0926558315063994 \tabularnewline
0.35 & 30.0279065511199 & 0.1045930677148 \tabularnewline
0.36 & 30.0502275535969 & 0.117530926112115 \tabularnewline
0.37 & 30.0750229126133 & 0.131133963989078 \tabularnewline
0.38 & 30.1023495461528 & 0.144797723772287 \tabularnewline
0.39 & 30.1321463576484 & 0.157760692935004 \tabularnewline
0.4 & 30.1642189566793 & 0.169358220396945 \tabularnewline
0.41 & 30.1982350999998 & 0.178890064352237 \tabularnewline
0.42 & 30.2337329028407 & 0.185667770187482 \tabularnewline
0.43 & 30.270142101174 & 0.189210675530691 \tabularnewline
0.44 & 30.3068168657041 & 0.189202298607117 \tabularnewline
0.45 & 30.3430771678822 & 0.185617995883374 \tabularnewline
0.46 & 30.3782546540343 & 0.17857936609779 \tabularnewline
0.47 & 30.4117384604426 & 0.16849072436708 \tabularnewline
0.48 & 30.4430163938754 & 0.155962787869912 \tabularnewline
0.49 & 30.4717073769582 & 0.141688476023572 \tabularnewline
0.5 & 30.4975819764583 & 0.126521872471012 \tabularnewline
0.51 & 30.5205691314796 & 0.111269846165174 \tabularnewline
0.52 & 30.5407487589467 & 0.0967150466370645 \tabularnewline
0.53 & 30.5583315459355 & 0.0835009226941932 \tabularnewline
0.54 & 30.5736287028126 & 0.0721289473999957 \tabularnewline
0.55 & 30.5870155133726 & 0.0628740910887611 \tabularnewline
0.56 & 30.5988930144642 & 0.0558298683857928 \tabularnewline
0.57 & 30.6096520200263 & 0.0509262696283812 \tabularnewline
0.58 & 30.6196430457891 & 0.0478208479131014 \tabularnewline
0.59 & 30.629154650572 & 0.0461590501635354 \tabularnewline
0.6 & 30.6384014806297 & 0.0453712814045132 \tabularnewline
0.61 & 30.6475220631217 & 0.0450896910791511 \tabularnewline
0.62 & 30.6565852832191 & 0.0449071746016219 \tabularnewline
0.63 & 30.6656035974595 & 0.0445743224415721 \tabularnewline
0.64 & 30.6745504557186 & 0.043935961653016 \tabularnewline
0.65 & 30.6833791728835 & 0.0429513516299864 \tabularnewline
0.66 & 30.6920406224901 & 0.0416607774179908 \tabularnewline
0.67 & 30.7004975826219 & 0.0402024335308643 \tabularnewline
0.68 & 30.7087342600092 & 0.0386405314986786 \tabularnewline
0.69 & 30.7167603277654 & 0.0372214666317836 \tabularnewline
0.7 & 30.7246096173649 & 0.0360101099439396 \tabularnewline
0.71 & 30.7323343328375 & 0.0351234301427881 \tabularnewline
0.72 & 30.7399962862521 & 0.0345509519165285 \tabularnewline
0.73 & 30.7476571924353 & 0.0342856559021551 \tabularnewline
0.74 & 30.7553704753799 & 0.0342456360680386 \tabularnewline
0.75 & 30.7631772184795 & 0.034316316503723 \tabularnewline
0.76 & 30.7711086633472 & 0.0344233843371447 \tabularnewline
0.77 & 30.7791968748616 & 0.0345223711552224 \tabularnewline
0.78 & 30.7874938079691 & 0.03468693171381 \tabularnewline
0.79 & 30.7960971516996 & 0.0351285389606723 \tabularnewline
0.8 & 30.8051791811662 & 0.0361552874290468 \tabularnewline
0.81 & 30.8150125541339 & 0.038224459593161 \tabularnewline
0.82 & 30.8259845981626 & 0.0418013405060672 \tabularnewline
0.83 & 30.8385893995912 & 0.0472605399253771 \tabularnewline
0.84 & 30.8533859798316 & 0.0547387424535096 \tabularnewline
0.85 & 30.8709134231992 & 0.0639045073773772 \tabularnewline
0.86 & 30.891563437976 & 0.0739936614721636 \tabularnewline
0.87 & 30.9154300649014 & 0.0836204847517498 \tabularnewline
0.88 & 30.9421834698125 & 0.0910664644821215 \tabularnewline
0.89 & 30.9710409710205 & 0.0946062478994006 \tabularnewline
0.9 & 31.0009165826519 & 0.0932295557084462 \tabularnewline
0.91 & 31.0307979686617 & 0.087237973931296 \tabularnewline
0.92 & 31.0603053738531 & 0.078886994717577 \tabularnewline
0.93 & 31.090229323884 & 0.0724400538049177 \tabularnewline
0.94 & 31.1226993833231 & 0.0728221402883168 \tabularnewline
0.95 & 31.1607517522098 & 0.0812175341801029 \tabularnewline
0.96 & 31.207733630655 & 0.0920050405508282 \tabularnewline
0.97 & 31.2675696706022 & 0.0994033828155134 \tabularnewline
0.98 & 31.3443770030545 & 0.112854304661699 \tabularnewline
0.99 & 31.4330364394044 & 0.152491917831028 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=222615&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]29.2743398578161[/C][C]0.0825294194230864[/C][/ROW]
[ROW][C]0.02[/C][C]29.3370937756236[/C][C]0.117130562063411[/C][/ROW]
[ROW][C]0.03[/C][C]29.4060304457068[/C][C]0.110413293554532[/C][/ROW]
[ROW][C]0.04[/C][C]29.4633554538146[/C][C]0.0808722783290471[/C][/ROW]
[ROW][C]0.05[/C][C]29.5033530396943[/C][C]0.0521804730633794[/C][/ROW]
[ROW][C]0.06[/C][C]29.528968136795[/C][C]0.034868437263833[/C][/ROW]
[ROW][C]0.07[/C][C]29.5459482291631[/C][C]0.0295583290542373[/C][/ROW]
[ROW][C]0.08[/C][C]29.5592603297981[/C][C]0.032302602086043[/C][/ROW]
[ROW][C]0.09[/C][C]29.5721077420905[/C][C]0.0391992321638095[/C][/ROW]
[ROW][C]0.1[/C][C]29.5862401969091[/C][C]0.0483859598485504[/C][/ROW]
[ROW][C]0.11[/C][C]29.6025058125734[/C][C]0.058893077501072[/C][/ROW]
[ROW][C]0.12[/C][C]29.6212259043018[/C][C]0.0698694617163204[/C][/ROW]
[ROW][C]0.13[/C][C]29.6423618966082[/C][C]0.0801606233926474[/C][/ROW]
[ROW][C]0.14[/C][C]29.6655738421113[/C][C]0.0886365029664554[/C][/ROW]
[ROW][C]0.15[/C][C]29.6902662548464[/C][C]0.094299270868199[/C][/ROW]
[ROW][C]0.16[/C][C]29.7156686836004[/C][C]0.0966124325706637[/C][/ROW]
[ROW][C]0.17[/C][C]29.7409512235669[/C][C]0.0955705440030075[/C][/ROW]
[ROW][C]0.18[/C][C]29.7653479592264[/C][C]0.0916731342727004[/C][/ROW]
[ROW][C]0.19[/C][C]29.7882568785435[/C][C]0.0857015537878105[/C][/ROW]
[ROW][C]0.2[/C][C]29.8092960958056[/C][C]0.0786196274456671[/C][/ROW]
[ROW][C]0.21[/C][C]29.828312874198[/C][C]0.0713206368914523[/C][/ROW]
[ROW][C]0.22[/C][C]29.8453554660941[/C][C]0.0645179595361844[/C][/ROW]
[ROW][C]0.23[/C][C]29.8606242070669[/C][C]0.0587518915509644[/C][/ROW]
[ROW][C]0.24[/C][C]29.8744178809481[/C][C]0.0543000803090308[/C][/ROW]
[ROW][C]0.25[/C][C]29.8870867834957[/C][C]0.0513770281582142[/C][/ROW]
[ROW][C]0.26[/C][C]29.8989981895559[/C][C]0.0499924736605215[/C][/ROW]
[ROW][C]0.27[/C][C]29.9105151933338[/C][C]0.0501149567763167[/C][/ROW]
[ROW][C]0.28[/C][C]29.9219869751228[/C][C]0.0517761806506233[/C][/ROW]
[ROW][C]0.29[/C][C]29.9337472808967[/C][C]0.0548532483610529[/C][/ROW]
[ROW][C]0.3[/C][C]29.9461176595317[/C][C]0.0594063861583345[/C][/ROW]
[ROW][C]0.31[/C][C]29.9594121899445[/C][C]0.0654547518941221[/C][/ROW]
[ROW][C]0.32[/C][C]29.9739407327468[/C][C]0.0730040533096385[/C][/ROW]
[ROW][C]0.33[/C][C]29.9900081413876[/C][C]0.0820883827525804[/C][/ROW]
[ROW][C]0.34[/C][C]30.0079075103542[/C][C]0.0926558315063994[/C][/ROW]
[ROW][C]0.35[/C][C]30.0279065511199[/C][C]0.1045930677148[/C][/ROW]
[ROW][C]0.36[/C][C]30.0502275535969[/C][C]0.117530926112115[/C][/ROW]
[ROW][C]0.37[/C][C]30.0750229126133[/C][C]0.131133963989078[/C][/ROW]
[ROW][C]0.38[/C][C]30.1023495461528[/C][C]0.144797723772287[/C][/ROW]
[ROW][C]0.39[/C][C]30.1321463576484[/C][C]0.157760692935004[/C][/ROW]
[ROW][C]0.4[/C][C]30.1642189566793[/C][C]0.169358220396945[/C][/ROW]
[ROW][C]0.41[/C][C]30.1982350999998[/C][C]0.178890064352237[/C][/ROW]
[ROW][C]0.42[/C][C]30.2337329028407[/C][C]0.185667770187482[/C][/ROW]
[ROW][C]0.43[/C][C]30.270142101174[/C][C]0.189210675530691[/C][/ROW]
[ROW][C]0.44[/C][C]30.3068168657041[/C][C]0.189202298607117[/C][/ROW]
[ROW][C]0.45[/C][C]30.3430771678822[/C][C]0.185617995883374[/C][/ROW]
[ROW][C]0.46[/C][C]30.3782546540343[/C][C]0.17857936609779[/C][/ROW]
[ROW][C]0.47[/C][C]30.4117384604426[/C][C]0.16849072436708[/C][/ROW]
[ROW][C]0.48[/C][C]30.4430163938754[/C][C]0.155962787869912[/C][/ROW]
[ROW][C]0.49[/C][C]30.4717073769582[/C][C]0.141688476023572[/C][/ROW]
[ROW][C]0.5[/C][C]30.4975819764583[/C][C]0.126521872471012[/C][/ROW]
[ROW][C]0.51[/C][C]30.5205691314796[/C][C]0.111269846165174[/C][/ROW]
[ROW][C]0.52[/C][C]30.5407487589467[/C][C]0.0967150466370645[/C][/ROW]
[ROW][C]0.53[/C][C]30.5583315459355[/C][C]0.0835009226941932[/C][/ROW]
[ROW][C]0.54[/C][C]30.5736287028126[/C][C]0.0721289473999957[/C][/ROW]
[ROW][C]0.55[/C][C]30.5870155133726[/C][C]0.0628740910887611[/C][/ROW]
[ROW][C]0.56[/C][C]30.5988930144642[/C][C]0.0558298683857928[/C][/ROW]
[ROW][C]0.57[/C][C]30.6096520200263[/C][C]0.0509262696283812[/C][/ROW]
[ROW][C]0.58[/C][C]30.6196430457891[/C][C]0.0478208479131014[/C][/ROW]
[ROW][C]0.59[/C][C]30.629154650572[/C][C]0.0461590501635354[/C][/ROW]
[ROW][C]0.6[/C][C]30.6384014806297[/C][C]0.0453712814045132[/C][/ROW]
[ROW][C]0.61[/C][C]30.6475220631217[/C][C]0.0450896910791511[/C][/ROW]
[ROW][C]0.62[/C][C]30.6565852832191[/C][C]0.0449071746016219[/C][/ROW]
[ROW][C]0.63[/C][C]30.6656035974595[/C][C]0.0445743224415721[/C][/ROW]
[ROW][C]0.64[/C][C]30.6745504557186[/C][C]0.043935961653016[/C][/ROW]
[ROW][C]0.65[/C][C]30.6833791728835[/C][C]0.0429513516299864[/C][/ROW]
[ROW][C]0.66[/C][C]30.6920406224901[/C][C]0.0416607774179908[/C][/ROW]
[ROW][C]0.67[/C][C]30.7004975826219[/C][C]0.0402024335308643[/C][/ROW]
[ROW][C]0.68[/C][C]30.7087342600092[/C][C]0.0386405314986786[/C][/ROW]
[ROW][C]0.69[/C][C]30.7167603277654[/C][C]0.0372214666317836[/C][/ROW]
[ROW][C]0.7[/C][C]30.7246096173649[/C][C]0.0360101099439396[/C][/ROW]
[ROW][C]0.71[/C][C]30.7323343328375[/C][C]0.0351234301427881[/C][/ROW]
[ROW][C]0.72[/C][C]30.7399962862521[/C][C]0.0345509519165285[/C][/ROW]
[ROW][C]0.73[/C][C]30.7476571924353[/C][C]0.0342856559021551[/C][/ROW]
[ROW][C]0.74[/C][C]30.7553704753799[/C][C]0.0342456360680386[/C][/ROW]
[ROW][C]0.75[/C][C]30.7631772184795[/C][C]0.034316316503723[/C][/ROW]
[ROW][C]0.76[/C][C]30.7711086633472[/C][C]0.0344233843371447[/C][/ROW]
[ROW][C]0.77[/C][C]30.7791968748616[/C][C]0.0345223711552224[/C][/ROW]
[ROW][C]0.78[/C][C]30.7874938079691[/C][C]0.03468693171381[/C][/ROW]
[ROW][C]0.79[/C][C]30.7960971516996[/C][C]0.0351285389606723[/C][/ROW]
[ROW][C]0.8[/C][C]30.8051791811662[/C][C]0.0361552874290468[/C][/ROW]
[ROW][C]0.81[/C][C]30.8150125541339[/C][C]0.038224459593161[/C][/ROW]
[ROW][C]0.82[/C][C]30.8259845981626[/C][C]0.0418013405060672[/C][/ROW]
[ROW][C]0.83[/C][C]30.8385893995912[/C][C]0.0472605399253771[/C][/ROW]
[ROW][C]0.84[/C][C]30.8533859798316[/C][C]0.0547387424535096[/C][/ROW]
[ROW][C]0.85[/C][C]30.8709134231992[/C][C]0.0639045073773772[/C][/ROW]
[ROW][C]0.86[/C][C]30.891563437976[/C][C]0.0739936614721636[/C][/ROW]
[ROW][C]0.87[/C][C]30.9154300649014[/C][C]0.0836204847517498[/C][/ROW]
[ROW][C]0.88[/C][C]30.9421834698125[/C][C]0.0910664644821215[/C][/ROW]
[ROW][C]0.89[/C][C]30.9710409710205[/C][C]0.0946062478994006[/C][/ROW]
[ROW][C]0.9[/C][C]31.0009165826519[/C][C]0.0932295557084462[/C][/ROW]
[ROW][C]0.91[/C][C]31.0307979686617[/C][C]0.087237973931296[/C][/ROW]
[ROW][C]0.92[/C][C]31.0603053738531[/C][C]0.078886994717577[/C][/ROW]
[ROW][C]0.93[/C][C]31.090229323884[/C][C]0.0724400538049177[/C][/ROW]
[ROW][C]0.94[/C][C]31.1226993833231[/C][C]0.0728221402883168[/C][/ROW]
[ROW][C]0.95[/C][C]31.1607517522098[/C][C]0.0812175341801029[/C][/ROW]
[ROW][C]0.96[/C][C]31.207733630655[/C][C]0.0920050405508282[/C][/ROW]
[ROW][C]0.97[/C][C]31.2675696706022[/C][C]0.0994033828155134[/C][/ROW]
[ROW][C]0.98[/C][C]31.3443770030545[/C][C]0.112854304661699[/C][/ROW]
[ROW][C]0.99[/C][C]31.4330364394044[/C][C]0.152491917831028[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=222615&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=222615&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
0.0129.27433985781610.0825294194230864
0.0229.33709377562360.117130562063411
0.0329.40603044570680.110413293554532
0.0429.46335545381460.0808722783290471
0.0529.50335303969430.0521804730633794
0.0629.5289681367950.034868437263833
0.0729.54594822916310.0295583290542373
0.0829.55926032979810.032302602086043
0.0929.57210774209050.0391992321638095
0.129.58624019690910.0483859598485504
0.1129.60250581257340.058893077501072
0.1229.62122590430180.0698694617163204
0.1329.64236189660820.0801606233926474
0.1429.66557384211130.0886365029664554
0.1529.69026625484640.094299270868199
0.1629.71566868360040.0966124325706637
0.1729.74095122356690.0955705440030075
0.1829.76534795922640.0916731342727004
0.1929.78825687854350.0857015537878105
0.229.80929609580560.0786196274456671
0.2129.8283128741980.0713206368914523
0.2229.84535546609410.0645179595361844
0.2329.86062420706690.0587518915509644
0.2429.87441788094810.0543000803090308
0.2529.88708678349570.0513770281582142
0.2629.89899818955590.0499924736605215
0.2729.91051519333380.0501149567763167
0.2829.92198697512280.0517761806506233
0.2929.93374728089670.0548532483610529
0.329.94611765953170.0594063861583345
0.3129.95941218994450.0654547518941221
0.3229.97394073274680.0730040533096385
0.3329.99000814138760.0820883827525804
0.3430.00790751035420.0926558315063994
0.3530.02790655111990.1045930677148
0.3630.05022755359690.117530926112115
0.3730.07502291261330.131133963989078
0.3830.10234954615280.144797723772287
0.3930.13214635764840.157760692935004
0.430.16421895667930.169358220396945
0.4130.19823509999980.178890064352237
0.4230.23373290284070.185667770187482
0.4330.2701421011740.189210675530691
0.4430.30681686570410.189202298607117
0.4530.34307716788220.185617995883374
0.4630.37825465403430.17857936609779
0.4730.41173846044260.16849072436708
0.4830.44301639387540.155962787869912
0.4930.47170737695820.141688476023572
0.530.49758197645830.126521872471012
0.5130.52056913147960.111269846165174
0.5230.54074875894670.0967150466370645
0.5330.55833154593550.0835009226941932
0.5430.57362870281260.0721289473999957
0.5530.58701551337260.0628740910887611
0.5630.59889301446420.0558298683857928
0.5730.60965202002630.0509262696283812
0.5830.61964304578910.0478208479131014
0.5930.6291546505720.0461590501635354
0.630.63840148062970.0453712814045132
0.6130.64752206312170.0450896910791511
0.6230.65658528321910.0449071746016219
0.6330.66560359745950.0445743224415721
0.6430.67455045571860.043935961653016
0.6530.68337917288350.0429513516299864
0.6630.69204062249010.0416607774179908
0.6730.70049758262190.0402024335308643
0.6830.70873426000920.0386405314986786
0.6930.71676032776540.0372214666317836
0.730.72460961736490.0360101099439396
0.7130.73233433283750.0351234301427881
0.7230.73999628625210.0345509519165285
0.7330.74765719243530.0342856559021551
0.7430.75537047537990.0342456360680386
0.7530.76317721847950.034316316503723
0.7630.77110866334720.0344233843371447
0.7730.77919687486160.0345223711552224
0.7830.78749380796910.03468693171381
0.7930.79609715169960.0351285389606723
0.830.80517918116620.0361552874290468
0.8130.81501255413390.038224459593161
0.8230.82598459816260.0418013405060672
0.8330.83858939959120.0472605399253771
0.8430.85338597983160.0547387424535096
0.8530.87091342319920.0639045073773772
0.8630.8915634379760.0739936614721636
0.8730.91543006490140.0836204847517498
0.8830.94218346981250.0910664644821215
0.8930.97104097102050.0946062478994006
0.931.00091658265190.0932295557084462
0.9131.03079796866170.087237973931296
0.9231.06030537385310.078886994717577
0.9331.0902293238840.0724400538049177
0.9431.12269938332310.0728221402883168
0.9531.16075175220980.0812175341801029
0.9631.2077336306550.0920050405508282
0.9731.26756967060220.0994033828155134
0.9831.34437700305450.112854304661699
0.9931.43303643940440.152491917831028


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')