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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 27 Oct 2008 14:45:17 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/27/t1225140373tqa6gg1pyyer13i.htm/, Retrieved Sun, 19 May 2024 15:41:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19601, Retrieved Sun, 19 May 2024 15:41:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact123

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
F   PD    [Harrell-Davis Quantiles] [Betrouwbaarheidsi...] [2008-10-27 20:45:17] [9ba97de59bb4d2edf0cfeac4ca7d2b73] [Current]
Feedback Forum
2008-11-03 20:49:02 [Chi-Kwong Man] [reply] 
Voor deze vraag moest men het gemiddelde aftrekken om de random component te berekenen. Door de R-code aan te passen x <- x-gemiddelde.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,84
0,76
0,77
0,76
0,77
0,78
0,79
0,78
0,76
0,78
0,76
0,74
0,73
0,72
0,71
0,73
0,75
0,75
0,72
0,72
0,72
0,74
0,78
0,74
0,74
0,75
0,78
0,81
0,75
0,7
0,71
0,71
0,73
0,74
0,74
0,75
0,74
0,74
0,73
0,76
0,8
0,83
0,81
0,83
0,88
0,89
0,93
0,91
0,9
0,86
0,88
0,93
0,98
0,97
1,03
1,06
1,06
1,09
1,04
1
1,04

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19601&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19601&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19601&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.7020852348866070.0080029335338424
0.020.7049364369826010.00576609306404604
0.030.7076644037251780.00425407418438563
0.040.7099533023771820.00394472459346337
0.050.7118910947900050.00437062707639843
0.060.7136564741755480.00487085836078449
0.070.71535996037810.00516713842134897
0.080.7170319430513940.00526207309730047
0.090.7186653530537430.0052779291617648
0.10.7202518274944450.00533330827972800
0.110.7217947669306790.00547383969206551
0.120.7233059895678040.00567304427725204
0.130.7247972445614460.00587318386385106
0.140.7262739225020750.00602636072711538
0.150.7277331758067170.00610405582536603
0.160.7291654409469680.00609912765752497
0.170.7305573998104330.00601300017748256
0.180.7318948812149740.00585174919087978
0.190.7331650811019480.00562243501281529
0.20.7343581248450870.00533560868353367
0.210.7354682119477650.0050084164334914
0.220.7364944845848920.00466708291016468
0.230.7374415650026940.00434568729866053
0.240.7383195861416680.00408347780964489
0.250.7391435622147490.00391616917360231
0.260.7399320834122620.00386994022364931
0.270.7407054949069670.00395119027927092
0.280.7414838580166180.00414789025409956
0.290.7422850439891130.00443195245697952
0.30.7431232703765910.00477089394957463
0.310.7440082793489540.00513150324801738
0.320.7449452153629770.0054891888841495
0.330.745935125766170.0058243265714927
0.340.7469759113879450.0061268532009317
0.350.7480635088948010.00639354138733474
0.360.7491930914447230.00662861828232646
0.370.7503601164154350.00683933823823387
0.380.7515611105645910.00703580072481455
0.390.7527941461323460.00722986584164465
0.40.7540590133319960.00743197121533125
0.410.7553571298687960.00764935047280555
0.420.7566912479044560.00789047302336953
0.430.75806502878840.00815922391760854
0.440.7594825619810060.00845478887694329
0.450.7609479101995260.0087758749210345
0.460.7624647667715050.00911468224275755
0.470.7640363084144840.00946593152791797
0.480.7656653106899570.00982219951121769
0.490.7673545597676450.0101815782801176
0.50.7691075435534950.0105460812762042
0.510.7709293448640050.0109289781223716
0.520.7728276019354150.0113496577039585
0.530.7748133623415090.0118349705888067
0.540.776901648529690.0124158787852339
0.550.7791115834022340.0131234777542905
0.560.7814659900457820.0139797634069178
0.570.7839904685103140.0149983127739254
0.580.7867120449259560.0161774424215779
0.590.7896575623741160.0175042220511805
0.60.7928520206273560.0189519805550689
0.610.7963170640735650.0204907603157302
0.620.8000697671059590.0220841967183571
0.630.8041217894443040.0236952087483535
0.640.8084788941090530.0252898040636388
0.650.8131407636439460.0268330379694327
0.660.81810103496070.0282948738145256
0.670.8233475059794150.0296451129120753
0.680.8288625374336270.0308536921984862
0.690.8346237548055780.031892110267168
0.70.8406052136239860.0327375949879358
0.710.8467791933299260.0333759168012579
0.720.8531187108506460.0338069869470636
0.730.8596006970413740.0340506437571962
0.740.8662095837714050.0341497339356816
0.750.87294085232260.0341682496517112
0.760.879803947863150.0341907975032683
0.770.8868239151297440.0343084976262121
0.780.8940411808254070.0346065206572343
0.790.9015090933677380.0351490921890815
0.80.9092890968222950.0359662609391687
0.810.9174437101321410.0370378771065608
0.820.926027749968830.0382982176717465
0.830.9350784425103980.0396313813408725
0.840.9446052312657850.0408839207264985
0.850.9545802816529630.0418757215408679
0.860.9649310196778620.0424136056276712
0.870.9755365686244780.042309093335756
0.880.9862304858924690.041399818106542
0.890.9968122362719310.0395794455263181
0.91.007068689740740.0368367210839838
0.911.016804463079430.0332923146192422
0.921.025877585837240.0292157240277610
0.931.034237899557650.0249893194696651
0.941.041971057747420.0210230709043325
0.951.049351209922300.0176872487607824
0.961.056871626573230.0154793658464050
0.971.065127978016120.0154733428360507
0.981.074340899939330.0187940089565343
0.991.083507216215650.0245259448378975

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.702085234886607 & 0.0080029335338424 \tabularnewline
0.02 & 0.704936436982601 & 0.00576609306404604 \tabularnewline
0.03 & 0.707664403725178 & 0.00425407418438563 \tabularnewline
0.04 & 0.709953302377182 & 0.00394472459346337 \tabularnewline
0.05 & 0.711891094790005 & 0.00437062707639843 \tabularnewline
0.06 & 0.713656474175548 & 0.00487085836078449 \tabularnewline
0.07 & 0.7153599603781 & 0.00516713842134897 \tabularnewline
0.08 & 0.717031943051394 & 0.00526207309730047 \tabularnewline
0.09 & 0.718665353053743 & 0.0052779291617648 \tabularnewline
0.1 & 0.720251827494445 & 0.00533330827972800 \tabularnewline
0.11 & 0.721794766930679 & 0.00547383969206551 \tabularnewline
0.12 & 0.723305989567804 & 0.00567304427725204 \tabularnewline
0.13 & 0.724797244561446 & 0.00587318386385106 \tabularnewline
0.14 & 0.726273922502075 & 0.00602636072711538 \tabularnewline
0.15 & 0.727733175806717 & 0.00610405582536603 \tabularnewline
0.16 & 0.729165440946968 & 0.00609912765752497 \tabularnewline
0.17 & 0.730557399810433 & 0.00601300017748256 \tabularnewline
0.18 & 0.731894881214974 & 0.00585174919087978 \tabularnewline
0.19 & 0.733165081101948 & 0.00562243501281529 \tabularnewline
0.2 & 0.734358124845087 & 0.00533560868353367 \tabularnewline
0.21 & 0.735468211947765 & 0.0050084164334914 \tabularnewline
0.22 & 0.736494484584892 & 0.00466708291016468 \tabularnewline
0.23 & 0.737441565002694 & 0.00434568729866053 \tabularnewline
0.24 & 0.738319586141668 & 0.00408347780964489 \tabularnewline
0.25 & 0.739143562214749 & 0.00391616917360231 \tabularnewline
0.26 & 0.739932083412262 & 0.00386994022364931 \tabularnewline
0.27 & 0.740705494906967 & 0.00395119027927092 \tabularnewline
0.28 & 0.741483858016618 & 0.00414789025409956 \tabularnewline
0.29 & 0.742285043989113 & 0.00443195245697952 \tabularnewline
0.3 & 0.743123270376591 & 0.00477089394957463 \tabularnewline
0.31 & 0.744008279348954 & 0.00513150324801738 \tabularnewline
0.32 & 0.744945215362977 & 0.0054891888841495 \tabularnewline
0.33 & 0.74593512576617 & 0.0058243265714927 \tabularnewline
0.34 & 0.746975911387945 & 0.0061268532009317 \tabularnewline
0.35 & 0.748063508894801 & 0.00639354138733474 \tabularnewline
0.36 & 0.749193091444723 & 0.00662861828232646 \tabularnewline
0.37 & 0.750360116415435 & 0.00683933823823387 \tabularnewline
0.38 & 0.751561110564591 & 0.00703580072481455 \tabularnewline
0.39 & 0.752794146132346 & 0.00722986584164465 \tabularnewline
0.4 & 0.754059013331996 & 0.00743197121533125 \tabularnewline
0.41 & 0.755357129868796 & 0.00764935047280555 \tabularnewline
0.42 & 0.756691247904456 & 0.00789047302336953 \tabularnewline
0.43 & 0.7580650287884 & 0.00815922391760854 \tabularnewline
0.44 & 0.759482561981006 & 0.00845478887694329 \tabularnewline
0.45 & 0.760947910199526 & 0.0087758749210345 \tabularnewline
0.46 & 0.762464766771505 & 0.00911468224275755 \tabularnewline
0.47 & 0.764036308414484 & 0.00946593152791797 \tabularnewline
0.48 & 0.765665310689957 & 0.00982219951121769 \tabularnewline
0.49 & 0.767354559767645 & 0.0101815782801176 \tabularnewline
0.5 & 0.769107543553495 & 0.0105460812762042 \tabularnewline
0.51 & 0.770929344864005 & 0.0109289781223716 \tabularnewline
0.52 & 0.772827601935415 & 0.0113496577039585 \tabularnewline
0.53 & 0.774813362341509 & 0.0118349705888067 \tabularnewline
0.54 & 0.77690164852969 & 0.0124158787852339 \tabularnewline
0.55 & 0.779111583402234 & 0.0131234777542905 \tabularnewline
0.56 & 0.781465990045782 & 0.0139797634069178 \tabularnewline
0.57 & 0.783990468510314 & 0.0149983127739254 \tabularnewline
0.58 & 0.786712044925956 & 0.0161774424215779 \tabularnewline
0.59 & 0.789657562374116 & 0.0175042220511805 \tabularnewline
0.6 & 0.792852020627356 & 0.0189519805550689 \tabularnewline
0.61 & 0.796317064073565 & 0.0204907603157302 \tabularnewline
0.62 & 0.800069767105959 & 0.0220841967183571 \tabularnewline
0.63 & 0.804121789444304 & 0.0236952087483535 \tabularnewline
0.64 & 0.808478894109053 & 0.0252898040636388 \tabularnewline
0.65 & 0.813140763643946 & 0.0268330379694327 \tabularnewline
0.66 & 0.8181010349607 & 0.0282948738145256 \tabularnewline
0.67 & 0.823347505979415 & 0.0296451129120753 \tabularnewline
0.68 & 0.828862537433627 & 0.0308536921984862 \tabularnewline
0.69 & 0.834623754805578 & 0.031892110267168 \tabularnewline
0.7 & 0.840605213623986 & 0.0327375949879358 \tabularnewline
0.71 & 0.846779193329926 & 0.0333759168012579 \tabularnewline
0.72 & 0.853118710850646 & 0.0338069869470636 \tabularnewline
0.73 & 0.859600697041374 & 0.0340506437571962 \tabularnewline
0.74 & 0.866209583771405 & 0.0341497339356816 \tabularnewline
0.75 & 0.8729408523226 & 0.0341682496517112 \tabularnewline
0.76 & 0.87980394786315 & 0.0341907975032683 \tabularnewline
0.77 & 0.886823915129744 & 0.0343084976262121 \tabularnewline
0.78 & 0.894041180825407 & 0.0346065206572343 \tabularnewline
0.79 & 0.901509093367738 & 0.0351490921890815 \tabularnewline
0.8 & 0.909289096822295 & 0.0359662609391687 \tabularnewline
0.81 & 0.917443710132141 & 0.0370378771065608 \tabularnewline
0.82 & 0.92602774996883 & 0.0382982176717465 \tabularnewline
0.83 & 0.935078442510398 & 0.0396313813408725 \tabularnewline
0.84 & 0.944605231265785 & 0.0408839207264985 \tabularnewline
0.85 & 0.954580281652963 & 0.0418757215408679 \tabularnewline
0.86 & 0.964931019677862 & 0.0424136056276712 \tabularnewline
0.87 & 0.975536568624478 & 0.042309093335756 \tabularnewline
0.88 & 0.986230485892469 & 0.041399818106542 \tabularnewline
0.89 & 0.996812236271931 & 0.0395794455263181 \tabularnewline
0.9 & 1.00706868974074 & 0.0368367210839838 \tabularnewline
0.91 & 1.01680446307943 & 0.0332923146192422 \tabularnewline
0.92 & 1.02587758583724 & 0.0292157240277610 \tabularnewline
0.93 & 1.03423789955765 & 0.0249893194696651 \tabularnewline
0.94 & 1.04197105774742 & 0.0210230709043325 \tabularnewline
0.95 & 1.04935120992230 & 0.0176872487607824 \tabularnewline
0.96 & 1.05687162657323 & 0.0154793658464050 \tabularnewline
0.97 & 1.06512797801612 & 0.0154733428360507 \tabularnewline
0.98 & 1.07434089993933 & 0.0187940089565343 \tabularnewline
0.99 & 1.08350721621565 & 0.0245259448378975 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19601&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]0.702085234886607[/C][C]0.0080029335338424[/C][/ROW]
[ROW][C]0.02[/C][C]0.704936436982601[/C][C]0.00576609306404604[/C][/ROW]
[ROW][C]0.03[/C][C]0.707664403725178[/C][C]0.00425407418438563[/C][/ROW]
[ROW][C]0.04[/C][C]0.709953302377182[/C][C]0.00394472459346337[/C][/ROW]
[ROW][C]0.05[/C][C]0.711891094790005[/C][C]0.00437062707639843[/C][/ROW]
[ROW][C]0.06[/C][C]0.713656474175548[/C][C]0.00487085836078449[/C][/ROW]
[ROW][C]0.07[/C][C]0.7153599603781[/C][C]0.00516713842134897[/C][/ROW]
[ROW][C]0.08[/C][C]0.717031943051394[/C][C]0.00526207309730047[/C][/ROW]
[ROW][C]0.09[/C][C]0.718665353053743[/C][C]0.0052779291617648[/C][/ROW]
[ROW][C]0.1[/C][C]0.720251827494445[/C][C]0.00533330827972800[/C][/ROW]
[ROW][C]0.11[/C][C]0.721794766930679[/C][C]0.00547383969206551[/C][/ROW]
[ROW][C]0.12[/C][C]0.723305989567804[/C][C]0.00567304427725204[/C][/ROW]
[ROW][C]0.13[/C][C]0.724797244561446[/C][C]0.00587318386385106[/C][/ROW]
[ROW][C]0.14[/C][C]0.726273922502075[/C][C]0.00602636072711538[/C][/ROW]
[ROW][C]0.15[/C][C]0.727733175806717[/C][C]0.00610405582536603[/C][/ROW]
[ROW][C]0.16[/C][C]0.729165440946968[/C][C]0.00609912765752497[/C][/ROW]
[ROW][C]0.17[/C][C]0.730557399810433[/C][C]0.00601300017748256[/C][/ROW]
[ROW][C]0.18[/C][C]0.731894881214974[/C][C]0.00585174919087978[/C][/ROW]
[ROW][C]0.19[/C][C]0.733165081101948[/C][C]0.00562243501281529[/C][/ROW]
[ROW][C]0.2[/C][C]0.734358124845087[/C][C]0.00533560868353367[/C][/ROW]
[ROW][C]0.21[/C][C]0.735468211947765[/C][C]0.0050084164334914[/C][/ROW]
[ROW][C]0.22[/C][C]0.736494484584892[/C][C]0.00466708291016468[/C][/ROW]
[ROW][C]0.23[/C][C]0.737441565002694[/C][C]0.00434568729866053[/C][/ROW]
[ROW][C]0.24[/C][C]0.738319586141668[/C][C]0.00408347780964489[/C][/ROW]
[ROW][C]0.25[/C][C]0.739143562214749[/C][C]0.00391616917360231[/C][/ROW]
[ROW][C]0.26[/C][C]0.739932083412262[/C][C]0.00386994022364931[/C][/ROW]
[ROW][C]0.27[/C][C]0.740705494906967[/C][C]0.00395119027927092[/C][/ROW]
[ROW][C]0.28[/C][C]0.741483858016618[/C][C]0.00414789025409956[/C][/ROW]
[ROW][C]0.29[/C][C]0.742285043989113[/C][C]0.00443195245697952[/C][/ROW]
[ROW][C]0.3[/C][C]0.743123270376591[/C][C]0.00477089394957463[/C][/ROW]
[ROW][C]0.31[/C][C]0.744008279348954[/C][C]0.00513150324801738[/C][/ROW]
[ROW][C]0.32[/C][C]0.744945215362977[/C][C]0.0054891888841495[/C][/ROW]
[ROW][C]0.33[/C][C]0.74593512576617[/C][C]0.0058243265714927[/C][/ROW]
[ROW][C]0.34[/C][C]0.746975911387945[/C][C]0.0061268532009317[/C][/ROW]
[ROW][C]0.35[/C][C]0.748063508894801[/C][C]0.00639354138733474[/C][/ROW]
[ROW][C]0.36[/C][C]0.749193091444723[/C][C]0.00662861828232646[/C][/ROW]
[ROW][C]0.37[/C][C]0.750360116415435[/C][C]0.00683933823823387[/C][/ROW]
[ROW][C]0.38[/C][C]0.751561110564591[/C][C]0.00703580072481455[/C][/ROW]
[ROW][C]0.39[/C][C]0.752794146132346[/C][C]0.00722986584164465[/C][/ROW]
[ROW][C]0.4[/C][C]0.754059013331996[/C][C]0.00743197121533125[/C][/ROW]
[ROW][C]0.41[/C][C]0.755357129868796[/C][C]0.00764935047280555[/C][/ROW]
[ROW][C]0.42[/C][C]0.756691247904456[/C][C]0.00789047302336953[/C][/ROW]
[ROW][C]0.43[/C][C]0.7580650287884[/C][C]0.00815922391760854[/C][/ROW]
[ROW][C]0.44[/C][C]0.759482561981006[/C][C]0.00845478887694329[/C][/ROW]
[ROW][C]0.45[/C][C]0.760947910199526[/C][C]0.0087758749210345[/C][/ROW]
[ROW][C]0.46[/C][C]0.762464766771505[/C][C]0.00911468224275755[/C][/ROW]
[ROW][C]0.47[/C][C]0.764036308414484[/C][C]0.00946593152791797[/C][/ROW]
[ROW][C]0.48[/C][C]0.765665310689957[/C][C]0.00982219951121769[/C][/ROW]
[ROW][C]0.49[/C][C]0.767354559767645[/C][C]0.0101815782801176[/C][/ROW]
[ROW][C]0.5[/C][C]0.769107543553495[/C][C]0.0105460812762042[/C][/ROW]
[ROW][C]0.51[/C][C]0.770929344864005[/C][C]0.0109289781223716[/C][/ROW]
[ROW][C]0.52[/C][C]0.772827601935415[/C][C]0.0113496577039585[/C][/ROW]
[ROW][C]0.53[/C][C]0.774813362341509[/C][C]0.0118349705888067[/C][/ROW]
[ROW][C]0.54[/C][C]0.77690164852969[/C][C]0.0124158787852339[/C][/ROW]
[ROW][C]0.55[/C][C]0.779111583402234[/C][C]0.0131234777542905[/C][/ROW]
[ROW][C]0.56[/C][C]0.781465990045782[/C][C]0.0139797634069178[/C][/ROW]
[ROW][C]0.57[/C][C]0.783990468510314[/C][C]0.0149983127739254[/C][/ROW]
[ROW][C]0.58[/C][C]0.786712044925956[/C][C]0.0161774424215779[/C][/ROW]
[ROW][C]0.59[/C][C]0.789657562374116[/C][C]0.0175042220511805[/C][/ROW]
[ROW][C]0.6[/C][C]0.792852020627356[/C][C]0.0189519805550689[/C][/ROW]
[ROW][C]0.61[/C][C]0.796317064073565[/C][C]0.0204907603157302[/C][/ROW]
[ROW][C]0.62[/C][C]0.800069767105959[/C][C]0.0220841967183571[/C][/ROW]
[ROW][C]0.63[/C][C]0.804121789444304[/C][C]0.0236952087483535[/C][/ROW]
[ROW][C]0.64[/C][C]0.808478894109053[/C][C]0.0252898040636388[/C][/ROW]
[ROW][C]0.65[/C][C]0.813140763643946[/C][C]0.0268330379694327[/C][/ROW]
[ROW][C]0.66[/C][C]0.8181010349607[/C][C]0.0282948738145256[/C][/ROW]
[ROW][C]0.67[/C][C]0.823347505979415[/C][C]0.0296451129120753[/C][/ROW]
[ROW][C]0.68[/C][C]0.828862537433627[/C][C]0.0308536921984862[/C][/ROW]
[ROW][C]0.69[/C][C]0.834623754805578[/C][C]0.031892110267168[/C][/ROW]
[ROW][C]0.7[/C][C]0.840605213623986[/C][C]0.0327375949879358[/C][/ROW]
[ROW][C]0.71[/C][C]0.846779193329926[/C][C]0.0333759168012579[/C][/ROW]
[ROW][C]0.72[/C][C]0.853118710850646[/C][C]0.0338069869470636[/C][/ROW]
[ROW][C]0.73[/C][C]0.859600697041374[/C][C]0.0340506437571962[/C][/ROW]
[ROW][C]0.74[/C][C]0.866209583771405[/C][C]0.0341497339356816[/C][/ROW]
[ROW][C]0.75[/C][C]0.8729408523226[/C][C]0.0341682496517112[/C][/ROW]
[ROW][C]0.76[/C][C]0.87980394786315[/C][C]0.0341907975032683[/C][/ROW]
[ROW][C]0.77[/C][C]0.886823915129744[/C][C]0.0343084976262121[/C][/ROW]
[ROW][C]0.78[/C][C]0.894041180825407[/C][C]0.0346065206572343[/C][/ROW]
[ROW][C]0.79[/C][C]0.901509093367738[/C][C]0.0351490921890815[/C][/ROW]
[ROW][C]0.8[/C][C]0.909289096822295[/C][C]0.0359662609391687[/C][/ROW]
[ROW][C]0.81[/C][C]0.917443710132141[/C][C]0.0370378771065608[/C][/ROW]
[ROW][C]0.82[/C][C]0.92602774996883[/C][C]0.0382982176717465[/C][/ROW]
[ROW][C]0.83[/C][C]0.935078442510398[/C][C]0.0396313813408725[/C][/ROW]
[ROW][C]0.84[/C][C]0.944605231265785[/C][C]0.0408839207264985[/C][/ROW]
[ROW][C]0.85[/C][C]0.954580281652963[/C][C]0.0418757215408679[/C][/ROW]
[ROW][C]0.86[/C][C]0.964931019677862[/C][C]0.0424136056276712[/C][/ROW]
[ROW][C]0.87[/C][C]0.975536568624478[/C][C]0.042309093335756[/C][/ROW]
[ROW][C]0.88[/C][C]0.986230485892469[/C][C]0.041399818106542[/C][/ROW]
[ROW][C]0.89[/C][C]0.996812236271931[/C][C]0.0395794455263181[/C][/ROW]
[ROW][C]0.9[/C][C]1.00706868974074[/C][C]0.0368367210839838[/C][/ROW]
[ROW][C]0.91[/C][C]1.01680446307943[/C][C]0.0332923146192422[/C][/ROW]
[ROW][C]0.92[/C][C]1.02587758583724[/C][C]0.0292157240277610[/C][/ROW]
[ROW][C]0.93[/C][C]1.03423789955765[/C][C]0.0249893194696651[/C][/ROW]
[ROW][C]0.94[/C][C]1.04197105774742[/C][C]0.0210230709043325[/C][/ROW]
[ROW][C]0.95[/C][C]1.04935120992230[/C][C]0.0176872487607824[/C][/ROW]
[ROW][C]0.96[/C][C]1.05687162657323[/C][C]0.0154793658464050[/C][/ROW]
[ROW][C]0.97[/C][C]1.06512797801612[/C][C]0.0154733428360507[/C][/ROW]
[ROW][C]0.98[/C][C]1.07434089993933[/C][C]0.0187940089565343[/C][/ROW]
[ROW][C]0.99[/C][C]1.08350721621565[/C][C]0.0245259448378975[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19601&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19601&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
0.010.7020852348866070.0080029335338424
0.020.7049364369826010.00576609306404604
0.030.7076644037251780.00425407418438563
0.040.7099533023771820.00394472459346337
0.050.7118910947900050.00437062707639843
0.060.7136564741755480.00487085836078449
0.070.71535996037810.00516713842134897
0.080.7170319430513940.00526207309730047
0.090.7186653530537430.0052779291617648
0.10.7202518274944450.00533330827972800
0.110.7217947669306790.00547383969206551
0.120.7233059895678040.00567304427725204
0.130.7247972445614460.00587318386385106
0.140.7262739225020750.00602636072711538
0.150.7277331758067170.00610405582536603
0.160.7291654409469680.00609912765752497
0.170.7305573998104330.00601300017748256
0.180.7318948812149740.00585174919087978
0.190.7331650811019480.00562243501281529
0.20.7343581248450870.00533560868353367
0.210.7354682119477650.0050084164334914
0.220.7364944845848920.00466708291016468
0.230.7374415650026940.00434568729866053
0.240.7383195861416680.00408347780964489
0.250.7391435622147490.00391616917360231
0.260.7399320834122620.00386994022364931
0.270.7407054949069670.00395119027927092
0.280.7414838580166180.00414789025409956
0.290.7422850439891130.00443195245697952
0.30.7431232703765910.00477089394957463
0.310.7440082793489540.00513150324801738
0.320.7449452153629770.0054891888841495
0.330.745935125766170.0058243265714927
0.340.7469759113879450.0061268532009317
0.350.7480635088948010.00639354138733474
0.360.7491930914447230.00662861828232646
0.370.7503601164154350.00683933823823387
0.380.7515611105645910.00703580072481455
0.390.7527941461323460.00722986584164465
0.40.7540590133319960.00743197121533125
0.410.7553571298687960.00764935047280555
0.420.7566912479044560.00789047302336953
0.430.75806502878840.00815922391760854
0.440.7594825619810060.00845478887694329
0.450.7609479101995260.0087758749210345
0.460.7624647667715050.00911468224275755
0.470.7640363084144840.00946593152791797
0.480.7656653106899570.00982219951121769
0.490.7673545597676450.0101815782801176
0.50.7691075435534950.0105460812762042
0.510.7709293448640050.0109289781223716
0.520.7728276019354150.0113496577039585
0.530.7748133623415090.0118349705888067
0.540.776901648529690.0124158787852339
0.550.7791115834022340.0131234777542905
0.560.7814659900457820.0139797634069178
0.570.7839904685103140.0149983127739254
0.580.7867120449259560.0161774424215779
0.590.7896575623741160.0175042220511805
0.60.7928520206273560.0189519805550689
0.610.7963170640735650.0204907603157302
0.620.8000697671059590.0220841967183571
0.630.8041217894443040.0236952087483535
0.640.8084788941090530.0252898040636388
0.650.8131407636439460.0268330379694327
0.660.81810103496070.0282948738145256
0.670.8233475059794150.0296451129120753
0.680.8288625374336270.0308536921984862
0.690.8346237548055780.031892110267168
0.70.8406052136239860.0327375949879358
0.710.8467791933299260.0333759168012579
0.720.8531187108506460.0338069869470636
0.730.8596006970413740.0340506437571962
0.740.8662095837714050.0341497339356816
0.750.87294085232260.0341682496517112
0.760.879803947863150.0341907975032683
0.770.8868239151297440.0343084976262121
0.780.8940411808254070.0346065206572343
0.790.9015090933677380.0351490921890815
0.80.9092890968222950.0359662609391687
0.810.9174437101321410.0370378771065608
0.820.926027749968830.0382982176717465
0.830.9350784425103980.0396313813408725
0.840.9446052312657850.0408839207264985
0.850.9545802816529630.0418757215408679
0.860.9649310196778620.0424136056276712
0.870.9755365686244780.042309093335756
0.880.9862304858924690.041399818106542
0.890.9968122362719310.0395794455263181
0.91.007068689740740.0368367210839838
0.911.016804463079430.0332923146192422
0.921.025877585837240.0292157240277610
0.931.034237899557650.0249893194696651
0.941.041971057747420.0210230709043325
0.951.049351209922300.0176872487607824
0.961.056871626573230.0154793658464050
0.971.065127978016120.0154733428360507
0.981.074340899939330.0187940089565343
0.991.083507216215650.0245259448378975


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')