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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 computationSun, 11 Oct 2015 09:39:51 +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/2015/Oct/11/t14445530152z4spkg29m7saw9.htm/, Retrieved Tue, 14 May 2024 01:44:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=282300, Retrieved Tue, 14 May 2024 01:44:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact167

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] [] [2015-10-11 08:39:51] [88f551c1d3f4ff2d65b8ab6790c1e3d2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
94,94
95,11
95,53
95,89
95,99
95,42
95,42
95,45
95,99
95,99
95,97
95,97
95,97
96,22
95,8
96,02
96,04
96,15
96,15
95,99
96,08
96,29
96,3
96,44
96,44
96,83
96,7
97,06
97,64
97,61
97,61
97,61
97,55
97,58
97,79
97,79
97,79
97,79
98
98,37
98,68
98,89
98,89
98,89
98,88
98,97
99,05
99,05
99
99,03
99,2
100,3
100,79
100,75
100,75
100,17
99,98
99,93
100,04
100,04
100,49
100,71
100,7
101,27
101,07
101,17
100,71
100,59
100,52
100,65
100,62
100,62

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'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282300&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282300&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282300&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0195.007436987390.186403288714782
0.0295.1147615252890.202056288221944
0.0395.22860302583190.193192716042899
0.0495.33010849411620.173336058399804
0.0595.41635503108260.166134536123593
0.0695.4922537425730.176918302712935
0.0795.56334318286280.19354852180304
0.0895.6323250304870.203647759167523
0.0995.6987975431280.201178956443251
0.195.76060825925540.186183784134125
0.1195.81542229926420.162334573782253
0.1295.86175751589150.134588207881746
0.1395.89934018154190.10751081409419
0.1495.92896477591310.0843699578540635
0.1595.95212266584550.0673161766612142
0.1695.97060792871530.0569743733056188
0.1795.98621230452290.0534175613503606
0.1896.0005406410040.0557793386262909
0.1996.01493139528420.062821092407309
0.296.03045003314360.0733310219150922
0.2196.04792465554610.0865819325440425
0.2296.06800157489380.10205466999086
0.2396.09120672246820.119817072134618
0.2496.11800388538980.139697960041402
0.2596.14884295829650.162130790544928
0.2696.18419206167220.187457377642435
0.2796.22454805212950.215873490337584
0.2896.27042166167740.24760659790234
0.2996.32229661018230.282344417907926
0.396.3805662792910.319382876918028
0.3196.44545619930480.357506369323024
0.3296.51694469751770.395088096453555
0.3396.59469655071350.430199245669122
0.3496.67802452774470.460564336608862
0.3596.76589087797970.484145194500692
0.3696.85695529776660.49945236492331
0.3796.94966851890520.505517647811452
0.3897.04240276003520.502032166204581
0.3997.13360343948530.489764179427962
0.497.22194218061950.470421699535859
0.4197.30645013740870.446237581540187
0.4297.38661317352660.420039783145403
0.4397.46241583966030.394900799392258
0.4497.53432827023340.373952317316416
0.4597.60323772604940.359561152821574
0.4697.67033335931540.353546865335654
0.4797.7369580739650.356468698963182
0.4897.80444474068890.367618650878605
0.4997.87395548051970.385261492143639
0.597.9463423778130.406859634842581
0.5198.02204593567740.429166099663774
0.5298.10104389807760.449582066606379
0.5398.18285781055810.465271620432602
0.5498.26661813574060.474113227413654
0.5598.35118145803740.474980032722174
0.5698.43528621914270.467664868384644
0.5798.51772763669390.452932424835397
0.5898.59752903017060.432432796360119
0.5998.67408642787850.408720187451537
0.698.74726624036260.384904811758824
0.6198.81744157766610.364269408961006
0.6298.88546064461950.349811072701965
0.6398.95254953452590.344007506479369
0.6499.02016059355090.347819023625019
0.6599.08978533975130.360812275212842
0.6699.16275672258470.381294336815787
0.6799.24006832679170.40625514174058
0.6899.32223704563650.432203104790917
0.6999.40923017870490.455793100921764
0.799.500467988410.474034871708108
0.7199.59489973894030.484574415495487
0.7299.69113762373820.486370678321328
0.7399.78762205801050.479145989240423
0.7499.88278675263180.463659371295738
0.7599.97519467683080.441453711469969
0.76100.063626077230.414155893981355
0.77100.1471142651720.383475366866741
0.78100.2249392811920.350764956035643
0.79100.2965990171170.317010887290678
0.8100.361778864560.282921724250635
0.81100.4203344634810.249050441123214
0.82100.4722908616560.216051525807886
0.83100.5178505919110.184685527331605
0.84100.5573979376970.155718841795518
0.85100.59148984040.129904669924316
0.86100.6208349143490.107861812035029
0.87100.6462770689030.089775695904549
0.88100.6688133322820.0757736174572441
0.89100.6896789847660.0659962380191439
0.9100.7105165730860.0613423016621324
0.91100.7335951104630.0635587793691613
0.92100.761953431930.0751794878981786
0.93100.79923188580.0971562226386659
0.94100.8489257923410.127025131963241
0.95100.9130016684420.157092340776818
0.96100.9903154129350.175287282088433
0.97101.0756690494350.170467947088059
0.98101.1598278160660.142608622008732
0.99101.2297111079410.111051631745159

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 95.00743698739 & 0.186403288714782 \tabularnewline
0.02 & 95.114761525289 & 0.202056288221944 \tabularnewline
0.03 & 95.2286030258319 & 0.193192716042899 \tabularnewline
0.04 & 95.3301084941162 & 0.173336058399804 \tabularnewline
0.05 & 95.4163550310826 & 0.166134536123593 \tabularnewline
0.06 & 95.492253742573 & 0.176918302712935 \tabularnewline
0.07 & 95.5633431828628 & 0.19354852180304 \tabularnewline
0.08 & 95.632325030487 & 0.203647759167523 \tabularnewline
0.09 & 95.698797543128 & 0.201178956443251 \tabularnewline
0.1 & 95.7606082592554 & 0.186183784134125 \tabularnewline
0.11 & 95.8154222992642 & 0.162334573782253 \tabularnewline
0.12 & 95.8617575158915 & 0.134588207881746 \tabularnewline
0.13 & 95.8993401815419 & 0.10751081409419 \tabularnewline
0.14 & 95.9289647759131 & 0.0843699578540635 \tabularnewline
0.15 & 95.9521226658455 & 0.0673161766612142 \tabularnewline
0.16 & 95.9706079287153 & 0.0569743733056188 \tabularnewline
0.17 & 95.9862123045229 & 0.0534175613503606 \tabularnewline
0.18 & 96.000540641004 & 0.0557793386262909 \tabularnewline
0.19 & 96.0149313952842 & 0.062821092407309 \tabularnewline
0.2 & 96.0304500331436 & 0.0733310219150922 \tabularnewline
0.21 & 96.0479246555461 & 0.0865819325440425 \tabularnewline
0.22 & 96.0680015748938 & 0.10205466999086 \tabularnewline
0.23 & 96.0912067224682 & 0.119817072134618 \tabularnewline
0.24 & 96.1180038853898 & 0.139697960041402 \tabularnewline
0.25 & 96.1488429582965 & 0.162130790544928 \tabularnewline
0.26 & 96.1841920616722 & 0.187457377642435 \tabularnewline
0.27 & 96.2245480521295 & 0.215873490337584 \tabularnewline
0.28 & 96.2704216616774 & 0.24760659790234 \tabularnewline
0.29 & 96.3222966101823 & 0.282344417907926 \tabularnewline
0.3 & 96.380566279291 & 0.319382876918028 \tabularnewline
0.31 & 96.4454561993048 & 0.357506369323024 \tabularnewline
0.32 & 96.5169446975177 & 0.395088096453555 \tabularnewline
0.33 & 96.5946965507135 & 0.430199245669122 \tabularnewline
0.34 & 96.6780245277447 & 0.460564336608862 \tabularnewline
0.35 & 96.7658908779797 & 0.484145194500692 \tabularnewline
0.36 & 96.8569552977666 & 0.49945236492331 \tabularnewline
0.37 & 96.9496685189052 & 0.505517647811452 \tabularnewline
0.38 & 97.0424027600352 & 0.502032166204581 \tabularnewline
0.39 & 97.1336034394853 & 0.489764179427962 \tabularnewline
0.4 & 97.2219421806195 & 0.470421699535859 \tabularnewline
0.41 & 97.3064501374087 & 0.446237581540187 \tabularnewline
0.42 & 97.3866131735266 & 0.420039783145403 \tabularnewline
0.43 & 97.4624158396603 & 0.394900799392258 \tabularnewline
0.44 & 97.5343282702334 & 0.373952317316416 \tabularnewline
0.45 & 97.6032377260494 & 0.359561152821574 \tabularnewline
0.46 & 97.6703333593154 & 0.353546865335654 \tabularnewline
0.47 & 97.736958073965 & 0.356468698963182 \tabularnewline
0.48 & 97.8044447406889 & 0.367618650878605 \tabularnewline
0.49 & 97.8739554805197 & 0.385261492143639 \tabularnewline
0.5 & 97.946342377813 & 0.406859634842581 \tabularnewline
0.51 & 98.0220459356774 & 0.429166099663774 \tabularnewline
0.52 & 98.1010438980776 & 0.449582066606379 \tabularnewline
0.53 & 98.1828578105581 & 0.465271620432602 \tabularnewline
0.54 & 98.2666181357406 & 0.474113227413654 \tabularnewline
0.55 & 98.3511814580374 & 0.474980032722174 \tabularnewline
0.56 & 98.4352862191427 & 0.467664868384644 \tabularnewline
0.57 & 98.5177276366939 & 0.452932424835397 \tabularnewline
0.58 & 98.5975290301706 & 0.432432796360119 \tabularnewline
0.59 & 98.6740864278785 & 0.408720187451537 \tabularnewline
0.6 & 98.7472662403626 & 0.384904811758824 \tabularnewline
0.61 & 98.8174415776661 & 0.364269408961006 \tabularnewline
0.62 & 98.8854606446195 & 0.349811072701965 \tabularnewline
0.63 & 98.9525495345259 & 0.344007506479369 \tabularnewline
0.64 & 99.0201605935509 & 0.347819023625019 \tabularnewline
0.65 & 99.0897853397513 & 0.360812275212842 \tabularnewline
0.66 & 99.1627567225847 & 0.381294336815787 \tabularnewline
0.67 & 99.2400683267917 & 0.40625514174058 \tabularnewline
0.68 & 99.3222370456365 & 0.432203104790917 \tabularnewline
0.69 & 99.4092301787049 & 0.455793100921764 \tabularnewline
0.7 & 99.50046798841 & 0.474034871708108 \tabularnewline
0.71 & 99.5948997389403 & 0.484574415495487 \tabularnewline
0.72 & 99.6911376237382 & 0.486370678321328 \tabularnewline
0.73 & 99.7876220580105 & 0.479145989240423 \tabularnewline
0.74 & 99.8827867526318 & 0.463659371295738 \tabularnewline
0.75 & 99.9751946768308 & 0.441453711469969 \tabularnewline
0.76 & 100.06362607723 & 0.414155893981355 \tabularnewline
0.77 & 100.147114265172 & 0.383475366866741 \tabularnewline
0.78 & 100.224939281192 & 0.350764956035643 \tabularnewline
0.79 & 100.296599017117 & 0.317010887290678 \tabularnewline
0.8 & 100.36177886456 & 0.282921724250635 \tabularnewline
0.81 & 100.420334463481 & 0.249050441123214 \tabularnewline
0.82 & 100.472290861656 & 0.216051525807886 \tabularnewline
0.83 & 100.517850591911 & 0.184685527331605 \tabularnewline
0.84 & 100.557397937697 & 0.155718841795518 \tabularnewline
0.85 & 100.5914898404 & 0.129904669924316 \tabularnewline
0.86 & 100.620834914349 & 0.107861812035029 \tabularnewline
0.87 & 100.646277068903 & 0.089775695904549 \tabularnewline
0.88 & 100.668813332282 & 0.0757736174572441 \tabularnewline
0.89 & 100.689678984766 & 0.0659962380191439 \tabularnewline
0.9 & 100.710516573086 & 0.0613423016621324 \tabularnewline
0.91 & 100.733595110463 & 0.0635587793691613 \tabularnewline
0.92 & 100.76195343193 & 0.0751794878981786 \tabularnewline
0.93 & 100.7992318858 & 0.0971562226386659 \tabularnewline
0.94 & 100.848925792341 & 0.127025131963241 \tabularnewline
0.95 & 100.913001668442 & 0.157092340776818 \tabularnewline
0.96 & 100.990315412935 & 0.175287282088433 \tabularnewline
0.97 & 101.075669049435 & 0.170467947088059 \tabularnewline
0.98 & 101.159827816066 & 0.142608622008732 \tabularnewline
0.99 & 101.229711107941 & 0.111051631745159 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282300&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]95.00743698739[/C][C]0.186403288714782[/C][/ROW]
[ROW][C]0.02[/C][C]95.114761525289[/C][C]0.202056288221944[/C][/ROW]
[ROW][C]0.03[/C][C]95.2286030258319[/C][C]0.193192716042899[/C][/ROW]
[ROW][C]0.04[/C][C]95.3301084941162[/C][C]0.173336058399804[/C][/ROW]
[ROW][C]0.05[/C][C]95.4163550310826[/C][C]0.166134536123593[/C][/ROW]
[ROW][C]0.06[/C][C]95.492253742573[/C][C]0.176918302712935[/C][/ROW]
[ROW][C]0.07[/C][C]95.5633431828628[/C][C]0.19354852180304[/C][/ROW]
[ROW][C]0.08[/C][C]95.632325030487[/C][C]0.203647759167523[/C][/ROW]
[ROW][C]0.09[/C][C]95.698797543128[/C][C]0.201178956443251[/C][/ROW]
[ROW][C]0.1[/C][C]95.7606082592554[/C][C]0.186183784134125[/C][/ROW]
[ROW][C]0.11[/C][C]95.8154222992642[/C][C]0.162334573782253[/C][/ROW]
[ROW][C]0.12[/C][C]95.8617575158915[/C][C]0.134588207881746[/C][/ROW]
[ROW][C]0.13[/C][C]95.8993401815419[/C][C]0.10751081409419[/C][/ROW]
[ROW][C]0.14[/C][C]95.9289647759131[/C][C]0.0843699578540635[/C][/ROW]
[ROW][C]0.15[/C][C]95.9521226658455[/C][C]0.0673161766612142[/C][/ROW]
[ROW][C]0.16[/C][C]95.9706079287153[/C][C]0.0569743733056188[/C][/ROW]
[ROW][C]0.17[/C][C]95.9862123045229[/C][C]0.0534175613503606[/C][/ROW]
[ROW][C]0.18[/C][C]96.000540641004[/C][C]0.0557793386262909[/C][/ROW]
[ROW][C]0.19[/C][C]96.0149313952842[/C][C]0.062821092407309[/C][/ROW]
[ROW][C]0.2[/C][C]96.0304500331436[/C][C]0.0733310219150922[/C][/ROW]
[ROW][C]0.21[/C][C]96.0479246555461[/C][C]0.0865819325440425[/C][/ROW]
[ROW][C]0.22[/C][C]96.0680015748938[/C][C]0.10205466999086[/C][/ROW]
[ROW][C]0.23[/C][C]96.0912067224682[/C][C]0.119817072134618[/C][/ROW]
[ROW][C]0.24[/C][C]96.1180038853898[/C][C]0.139697960041402[/C][/ROW]
[ROW][C]0.25[/C][C]96.1488429582965[/C][C]0.162130790544928[/C][/ROW]
[ROW][C]0.26[/C][C]96.1841920616722[/C][C]0.187457377642435[/C][/ROW]
[ROW][C]0.27[/C][C]96.2245480521295[/C][C]0.215873490337584[/C][/ROW]
[ROW][C]0.28[/C][C]96.2704216616774[/C][C]0.24760659790234[/C][/ROW]
[ROW][C]0.29[/C][C]96.3222966101823[/C][C]0.282344417907926[/C][/ROW]
[ROW][C]0.3[/C][C]96.380566279291[/C][C]0.319382876918028[/C][/ROW]
[ROW][C]0.31[/C][C]96.4454561993048[/C][C]0.357506369323024[/C][/ROW]
[ROW][C]0.32[/C][C]96.5169446975177[/C][C]0.395088096453555[/C][/ROW]
[ROW][C]0.33[/C][C]96.5946965507135[/C][C]0.430199245669122[/C][/ROW]
[ROW][C]0.34[/C][C]96.6780245277447[/C][C]0.460564336608862[/C][/ROW]
[ROW][C]0.35[/C][C]96.7658908779797[/C][C]0.484145194500692[/C][/ROW]
[ROW][C]0.36[/C][C]96.8569552977666[/C][C]0.49945236492331[/C][/ROW]
[ROW][C]0.37[/C][C]96.9496685189052[/C][C]0.505517647811452[/C][/ROW]
[ROW][C]0.38[/C][C]97.0424027600352[/C][C]0.502032166204581[/C][/ROW]
[ROW][C]0.39[/C][C]97.1336034394853[/C][C]0.489764179427962[/C][/ROW]
[ROW][C]0.4[/C][C]97.2219421806195[/C][C]0.470421699535859[/C][/ROW]
[ROW][C]0.41[/C][C]97.3064501374087[/C][C]0.446237581540187[/C][/ROW]
[ROW][C]0.42[/C][C]97.3866131735266[/C][C]0.420039783145403[/C][/ROW]
[ROW][C]0.43[/C][C]97.4624158396603[/C][C]0.394900799392258[/C][/ROW]
[ROW][C]0.44[/C][C]97.5343282702334[/C][C]0.373952317316416[/C][/ROW]
[ROW][C]0.45[/C][C]97.6032377260494[/C][C]0.359561152821574[/C][/ROW]
[ROW][C]0.46[/C][C]97.6703333593154[/C][C]0.353546865335654[/C][/ROW]
[ROW][C]0.47[/C][C]97.736958073965[/C][C]0.356468698963182[/C][/ROW]
[ROW][C]0.48[/C][C]97.8044447406889[/C][C]0.367618650878605[/C][/ROW]
[ROW][C]0.49[/C][C]97.8739554805197[/C][C]0.385261492143639[/C][/ROW]
[ROW][C]0.5[/C][C]97.946342377813[/C][C]0.406859634842581[/C][/ROW]
[ROW][C]0.51[/C][C]98.0220459356774[/C][C]0.429166099663774[/C][/ROW]
[ROW][C]0.52[/C][C]98.1010438980776[/C][C]0.449582066606379[/C][/ROW]
[ROW][C]0.53[/C][C]98.1828578105581[/C][C]0.465271620432602[/C][/ROW]
[ROW][C]0.54[/C][C]98.2666181357406[/C][C]0.474113227413654[/C][/ROW]
[ROW][C]0.55[/C][C]98.3511814580374[/C][C]0.474980032722174[/C][/ROW]
[ROW][C]0.56[/C][C]98.4352862191427[/C][C]0.467664868384644[/C][/ROW]
[ROW][C]0.57[/C][C]98.5177276366939[/C][C]0.452932424835397[/C][/ROW]
[ROW][C]0.58[/C][C]98.5975290301706[/C][C]0.432432796360119[/C][/ROW]
[ROW][C]0.59[/C][C]98.6740864278785[/C][C]0.408720187451537[/C][/ROW]
[ROW][C]0.6[/C][C]98.7472662403626[/C][C]0.384904811758824[/C][/ROW]
[ROW][C]0.61[/C][C]98.8174415776661[/C][C]0.364269408961006[/C][/ROW]
[ROW][C]0.62[/C][C]98.8854606446195[/C][C]0.349811072701965[/C][/ROW]
[ROW][C]0.63[/C][C]98.9525495345259[/C][C]0.344007506479369[/C][/ROW]
[ROW][C]0.64[/C][C]99.0201605935509[/C][C]0.347819023625019[/C][/ROW]
[ROW][C]0.65[/C][C]99.0897853397513[/C][C]0.360812275212842[/C][/ROW]
[ROW][C]0.66[/C][C]99.1627567225847[/C][C]0.381294336815787[/C][/ROW]
[ROW][C]0.67[/C][C]99.2400683267917[/C][C]0.40625514174058[/C][/ROW]
[ROW][C]0.68[/C][C]99.3222370456365[/C][C]0.432203104790917[/C][/ROW]
[ROW][C]0.69[/C][C]99.4092301787049[/C][C]0.455793100921764[/C][/ROW]
[ROW][C]0.7[/C][C]99.50046798841[/C][C]0.474034871708108[/C][/ROW]
[ROW][C]0.71[/C][C]99.5948997389403[/C][C]0.484574415495487[/C][/ROW]
[ROW][C]0.72[/C][C]99.6911376237382[/C][C]0.486370678321328[/C][/ROW]
[ROW][C]0.73[/C][C]99.7876220580105[/C][C]0.479145989240423[/C][/ROW]
[ROW][C]0.74[/C][C]99.8827867526318[/C][C]0.463659371295738[/C][/ROW]
[ROW][C]0.75[/C][C]99.9751946768308[/C][C]0.441453711469969[/C][/ROW]
[ROW][C]0.76[/C][C]100.06362607723[/C][C]0.414155893981355[/C][/ROW]
[ROW][C]0.77[/C][C]100.147114265172[/C][C]0.383475366866741[/C][/ROW]
[ROW][C]0.78[/C][C]100.224939281192[/C][C]0.350764956035643[/C][/ROW]
[ROW][C]0.79[/C][C]100.296599017117[/C][C]0.317010887290678[/C][/ROW]
[ROW][C]0.8[/C][C]100.36177886456[/C][C]0.282921724250635[/C][/ROW]
[ROW][C]0.81[/C][C]100.420334463481[/C][C]0.249050441123214[/C][/ROW]
[ROW][C]0.82[/C][C]100.472290861656[/C][C]0.216051525807886[/C][/ROW]
[ROW][C]0.83[/C][C]100.517850591911[/C][C]0.184685527331605[/C][/ROW]
[ROW][C]0.84[/C][C]100.557397937697[/C][C]0.155718841795518[/C][/ROW]
[ROW][C]0.85[/C][C]100.5914898404[/C][C]0.129904669924316[/C][/ROW]
[ROW][C]0.86[/C][C]100.620834914349[/C][C]0.107861812035029[/C][/ROW]
[ROW][C]0.87[/C][C]100.646277068903[/C][C]0.089775695904549[/C][/ROW]
[ROW][C]0.88[/C][C]100.668813332282[/C][C]0.0757736174572441[/C][/ROW]
[ROW][C]0.89[/C][C]100.689678984766[/C][C]0.0659962380191439[/C][/ROW]
[ROW][C]0.9[/C][C]100.710516573086[/C][C]0.0613423016621324[/C][/ROW]
[ROW][C]0.91[/C][C]100.733595110463[/C][C]0.0635587793691613[/C][/ROW]
[ROW][C]0.92[/C][C]100.76195343193[/C][C]0.0751794878981786[/C][/ROW]
[ROW][C]0.93[/C][C]100.7992318858[/C][C]0.0971562226386659[/C][/ROW]
[ROW][C]0.94[/C][C]100.848925792341[/C][C]0.127025131963241[/C][/ROW]
[ROW][C]0.95[/C][C]100.913001668442[/C][C]0.157092340776818[/C][/ROW]
[ROW][C]0.96[/C][C]100.990315412935[/C][C]0.175287282088433[/C][/ROW]
[ROW][C]0.97[/C][C]101.075669049435[/C][C]0.170467947088059[/C][/ROW]
[ROW][C]0.98[/C][C]101.159827816066[/C][C]0.142608622008732[/C][/ROW]
[ROW][C]0.99[/C][C]101.229711107941[/C][C]0.111051631745159[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282300&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282300&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
0.0195.007436987390.186403288714782
0.0295.1147615252890.202056288221944
0.0395.22860302583190.193192716042899
0.0495.33010849411620.173336058399804
0.0595.41635503108260.166134536123593
0.0695.4922537425730.176918302712935
0.0795.56334318286280.19354852180304
0.0895.6323250304870.203647759167523
0.0995.6987975431280.201178956443251
0.195.76060825925540.186183784134125
0.1195.81542229926420.162334573782253
0.1295.86175751589150.134588207881746
0.1395.89934018154190.10751081409419
0.1495.92896477591310.0843699578540635
0.1595.95212266584550.0673161766612142
0.1695.97060792871530.0569743733056188
0.1795.98621230452290.0534175613503606
0.1896.0005406410040.0557793386262909
0.1996.01493139528420.062821092407309
0.296.03045003314360.0733310219150922
0.2196.04792465554610.0865819325440425
0.2296.06800157489380.10205466999086
0.2396.09120672246820.119817072134618
0.2496.11800388538980.139697960041402
0.2596.14884295829650.162130790544928
0.2696.18419206167220.187457377642435
0.2796.22454805212950.215873490337584
0.2896.27042166167740.24760659790234
0.2996.32229661018230.282344417907926
0.396.3805662792910.319382876918028
0.3196.44545619930480.357506369323024
0.3296.51694469751770.395088096453555
0.3396.59469655071350.430199245669122
0.3496.67802452774470.460564336608862
0.3596.76589087797970.484145194500692
0.3696.85695529776660.49945236492331
0.3796.94966851890520.505517647811452
0.3897.04240276003520.502032166204581
0.3997.13360343948530.489764179427962
0.497.22194218061950.470421699535859
0.4197.30645013740870.446237581540187
0.4297.38661317352660.420039783145403
0.4397.46241583966030.394900799392258
0.4497.53432827023340.373952317316416
0.4597.60323772604940.359561152821574
0.4697.67033335931540.353546865335654
0.4797.7369580739650.356468698963182
0.4897.80444474068890.367618650878605
0.4997.87395548051970.385261492143639
0.597.9463423778130.406859634842581
0.5198.02204593567740.429166099663774
0.5298.10104389807760.449582066606379
0.5398.18285781055810.465271620432602
0.5498.26661813574060.474113227413654
0.5598.35118145803740.474980032722174
0.5698.43528621914270.467664868384644
0.5798.51772763669390.452932424835397
0.5898.59752903017060.432432796360119
0.5998.67408642787850.408720187451537
0.698.74726624036260.384904811758824
0.6198.81744157766610.364269408961006
0.6298.88546064461950.349811072701965
0.6398.95254953452590.344007506479369
0.6499.02016059355090.347819023625019
0.6599.08978533975130.360812275212842
0.6699.16275672258470.381294336815787
0.6799.24006832679170.40625514174058
0.6899.32223704563650.432203104790917
0.6999.40923017870490.455793100921764
0.799.500467988410.474034871708108
0.7199.59489973894030.484574415495487
0.7299.69113762373820.486370678321328
0.7399.78762205801050.479145989240423
0.7499.88278675263180.463659371295738
0.7599.97519467683080.441453711469969
0.76100.063626077230.414155893981355
0.77100.1471142651720.383475366866741
0.78100.2249392811920.350764956035643
0.79100.2965990171170.317010887290678
0.8100.361778864560.282921724250635
0.81100.4203344634810.249050441123214
0.82100.4722908616560.216051525807886
0.83100.5178505919110.184685527331605
0.84100.5573979376970.155718841795518
0.85100.59148984040.129904669924316
0.86100.6208349143490.107861812035029
0.87100.6462770689030.089775695904549
0.88100.6688133322820.0757736174572441
0.89100.6896789847660.0659962380191439
0.9100.7105165730860.0613423016621324
0.91100.7335951104630.0635587793691613
0.92100.761953431930.0751794878981786
0.93100.79923188580.0971562226386659
0.94100.8489257923410.127025131963241
0.95100.9130016684420.157092340776818
0.96100.9903154129350.175287282088433
0.97101.0756690494350.170467947088059
0.98101.1598278160660.142608622008732
0.99101.2297111079410.111051631745159


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
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')