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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 computationSat, 24 Jul 2010 07:57:56 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Jul/24/t1279958270pkekfb9xrx6p95a.htm/, Retrieved Wed, 01 May 2024 22:50:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78077, Retrieved Wed, 01 May 2024 22:50:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsFebiri Lordina
Estimated Impact195

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] [Percentielen Omze...] [2010-07-24 07:57:56] [ee335b92128d1ec04d3c346475765c6a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
297
296
295
293
291
290
291
293
294
294
295
297
302
297
301
298
295
287
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274
282
296
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298
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296
293
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294
291
279
284
299
296
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299
291
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288
284
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270
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257
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194
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182
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158
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163
154
142
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133
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128
120
88
95

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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78077&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78077&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78077&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0192.966302026403911.7065601120090
0.02101.79748031200615.9483339627262
0.03111.57230124921615.7780592816491
0.04120.22086339696113.3557263532886
0.05127.17316601937111.4238038397818
0.06132.78440429961510.8598993523804
0.07137.62334201319111.1527392440223
0.08142.09379416773311.6119407959203
0.09146.37502377277211.8888678747147
0.1150.50676832625411.9459230142273
0.11154.48703616666711.9228135950535
0.12158.33069361934912.0115529673594
0.13162.08590385643612.3580221132257
0.14165.8233126963513.0028844141307
0.15169.61455990636813.8793483405004
0.16173.51243948459114.8550297113984
0.17177.53941685108515.7858946843430
0.18181.68614907589216.5548603696851
0.19185.91808154330617.0922576560680
0.2190.18647032779317.3784717695412
0.21194.44010776194417.4375488522037
0.22198.63500516846417.3242736224896
0.23202.74060661006717.1089737971948
0.24206.74224784000216.8650489991940
0.25210.64031252511216.6566913876122
0.26214.44689890724016.5285374723479
0.27218.18093362760816.4995674623028
0.28221.86268433412916.5601564043964
0.29225.50858585073416.675210221835
0.3229.12719502207416.7909083996512
0.31232.71689074858316.8474507783692
0.32236.26562525895816.7891410465696
0.33239.75264777114916.5770450862762
0.34243.15174543596416.194555431799
0.35246.43527622059715.6480366169002
0.36249.57817529099314.9659322429117
0.37252.56121584302214.1895282407327
0.38255.37305197987813.3674907078305
0.39258.0108800139912.5473829419221
0.4260.47983533296711.7687600382178
0.41262.79143173226711.0599282162129
0.42264.96142911717310.4381263802825
0.43267.0075029094649.90758901152103
0.44268.9470238044219.46109203627567
0.45270.7951775498889.0831811827624
0.46272.5635828193218.75073247237835
0.47274.2595039608788.43871427968786
0.48275.8856961535798.1222706128108
0.49277.440855093567.78073063582172
0.5278.920572064597.40021455029886
0.51280.3186287088236.97514094006748
0.52281.6284203383236.50783017738457
0.53282.8442866028716.00864583397623
0.54283.9625594333515.49169064715867
0.55284.9822044412354.97343292758364
0.56285.9050174200054.47061402536954
0.57286.7354214611723.99732769054257
0.58287.4799732201943.56344905323866
0.59288.1467168040933.17610454370803
0.6288.7445182793942.83663552309812
0.61289.2824802700892.54464256010953
0.62289.7694884898542.29790725187624
0.63290.2138960823712.09239773933096
0.64290.6233198814391.92381071295941
0.65291.0045109508731.78774281288575
0.66291.3632681054141.67955173056475
0.67291.7043797546191.59335607722902
0.68292.0315964798771.52400611503641
0.69292.3476464116431.46582406972971
0.7292.6543046264821.4140920867608
0.71292.9525184083691.36465984389843
0.72293.2425775161151.31498782779142
0.73293.5243082191421.26321556598221
0.74293.7972657226451.20872775991764
0.75294.0609031325991.15145143804670
0.76294.3147056330271.09226851963266
0.77294.5582936774041.03197118621275
0.78294.7915142955140.971405036073327
0.79295.0145481061840.91213211878869
0.8295.2280530415230.85592253425001
0.81295.4333391173940.804632069576056
0.82295.6325266342220.761866065634743
0.83295.8286013588810.731376250700543
0.84296.0252717762220.71604166190826
0.85296.2265770859760.716680926738334
0.86296.4362889912460.73028942510051
0.87296.6572622165390.750680393316898
0.88296.890959524410.770436046289233
0.89297.137346914210.782762003380135
0.9297.3952106632310.78356274534483
0.91297.6628061414760.772413287201983
0.92297.9389170965280.751186095870845
0.93298.225187337960.72322951820604
0.94298.5314896768900.698727242774317
0.95298.8847610793610.714629061070975
0.96299.3347780843040.838685233489656
0.97299.9388525318341.07189229754670
0.98300.7038782692541.24192748822843
0.99301.492939754831.15989187165919

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 92.9663020264039 & 11.7065601120090 \tabularnewline
0.02 & 101.797480312006 & 15.9483339627262 \tabularnewline
0.03 & 111.572301249216 & 15.7780592816491 \tabularnewline
0.04 & 120.220863396961 & 13.3557263532886 \tabularnewline
0.05 & 127.173166019371 & 11.4238038397818 \tabularnewline
0.06 & 132.784404299615 & 10.8598993523804 \tabularnewline
0.07 & 137.623342013191 & 11.1527392440223 \tabularnewline
0.08 & 142.093794167733 & 11.6119407959203 \tabularnewline
0.09 & 146.375023772772 & 11.8888678747147 \tabularnewline
0.1 & 150.506768326254 & 11.9459230142273 \tabularnewline
0.11 & 154.487036166667 & 11.9228135950535 \tabularnewline
0.12 & 158.330693619349 & 12.0115529673594 \tabularnewline
0.13 & 162.085903856436 & 12.3580221132257 \tabularnewline
0.14 & 165.82331269635 & 13.0028844141307 \tabularnewline
0.15 & 169.614559906368 & 13.8793483405004 \tabularnewline
0.16 & 173.512439484591 & 14.8550297113984 \tabularnewline
0.17 & 177.539416851085 & 15.7858946843430 \tabularnewline
0.18 & 181.686149075892 & 16.5548603696851 \tabularnewline
0.19 & 185.918081543306 & 17.0922576560680 \tabularnewline
0.2 & 190.186470327793 & 17.3784717695412 \tabularnewline
0.21 & 194.440107761944 & 17.4375488522037 \tabularnewline
0.22 & 198.635005168464 & 17.3242736224896 \tabularnewline
0.23 & 202.740606610067 & 17.1089737971948 \tabularnewline
0.24 & 206.742247840002 & 16.8650489991940 \tabularnewline
0.25 & 210.640312525112 & 16.6566913876122 \tabularnewline
0.26 & 214.446898907240 & 16.5285374723479 \tabularnewline
0.27 & 218.180933627608 & 16.4995674623028 \tabularnewline
0.28 & 221.862684334129 & 16.5601564043964 \tabularnewline
0.29 & 225.508585850734 & 16.675210221835 \tabularnewline
0.3 & 229.127195022074 & 16.7909083996512 \tabularnewline
0.31 & 232.716890748583 & 16.8474507783692 \tabularnewline
0.32 & 236.265625258958 & 16.7891410465696 \tabularnewline
0.33 & 239.752647771149 & 16.5770450862762 \tabularnewline
0.34 & 243.151745435964 & 16.194555431799 \tabularnewline
0.35 & 246.435276220597 & 15.6480366169002 \tabularnewline
0.36 & 249.578175290993 & 14.9659322429117 \tabularnewline
0.37 & 252.561215843022 & 14.1895282407327 \tabularnewline
0.38 & 255.373051979878 & 13.3674907078305 \tabularnewline
0.39 & 258.01088001399 & 12.5473829419221 \tabularnewline
0.4 & 260.479835332967 & 11.7687600382178 \tabularnewline
0.41 & 262.791431732267 & 11.0599282162129 \tabularnewline
0.42 & 264.961429117173 & 10.4381263802825 \tabularnewline
0.43 & 267.007502909464 & 9.90758901152103 \tabularnewline
0.44 & 268.947023804421 & 9.46109203627567 \tabularnewline
0.45 & 270.795177549888 & 9.0831811827624 \tabularnewline
0.46 & 272.563582819321 & 8.75073247237835 \tabularnewline
0.47 & 274.259503960878 & 8.43871427968786 \tabularnewline
0.48 & 275.885696153579 & 8.1222706128108 \tabularnewline
0.49 & 277.44085509356 & 7.78073063582172 \tabularnewline
0.5 & 278.92057206459 & 7.40021455029886 \tabularnewline
0.51 & 280.318628708823 & 6.97514094006748 \tabularnewline
0.52 & 281.628420338323 & 6.50783017738457 \tabularnewline
0.53 & 282.844286602871 & 6.00864583397623 \tabularnewline
0.54 & 283.962559433351 & 5.49169064715867 \tabularnewline
0.55 & 284.982204441235 & 4.97343292758364 \tabularnewline
0.56 & 285.905017420005 & 4.47061402536954 \tabularnewline
0.57 & 286.735421461172 & 3.99732769054257 \tabularnewline
0.58 & 287.479973220194 & 3.56344905323866 \tabularnewline
0.59 & 288.146716804093 & 3.17610454370803 \tabularnewline
0.6 & 288.744518279394 & 2.83663552309812 \tabularnewline
0.61 & 289.282480270089 & 2.54464256010953 \tabularnewline
0.62 & 289.769488489854 & 2.29790725187624 \tabularnewline
0.63 & 290.213896082371 & 2.09239773933096 \tabularnewline
0.64 & 290.623319881439 & 1.92381071295941 \tabularnewline
0.65 & 291.004510950873 & 1.78774281288575 \tabularnewline
0.66 & 291.363268105414 & 1.67955173056475 \tabularnewline
0.67 & 291.704379754619 & 1.59335607722902 \tabularnewline
0.68 & 292.031596479877 & 1.52400611503641 \tabularnewline
0.69 & 292.347646411643 & 1.46582406972971 \tabularnewline
0.7 & 292.654304626482 & 1.4140920867608 \tabularnewline
0.71 & 292.952518408369 & 1.36465984389843 \tabularnewline
0.72 & 293.242577516115 & 1.31498782779142 \tabularnewline
0.73 & 293.524308219142 & 1.26321556598221 \tabularnewline
0.74 & 293.797265722645 & 1.20872775991764 \tabularnewline
0.75 & 294.060903132599 & 1.15145143804670 \tabularnewline
0.76 & 294.314705633027 & 1.09226851963266 \tabularnewline
0.77 & 294.558293677404 & 1.03197118621275 \tabularnewline
0.78 & 294.791514295514 & 0.971405036073327 \tabularnewline
0.79 & 295.014548106184 & 0.91213211878869 \tabularnewline
0.8 & 295.228053041523 & 0.85592253425001 \tabularnewline
0.81 & 295.433339117394 & 0.804632069576056 \tabularnewline
0.82 & 295.632526634222 & 0.761866065634743 \tabularnewline
0.83 & 295.828601358881 & 0.731376250700543 \tabularnewline
0.84 & 296.025271776222 & 0.71604166190826 \tabularnewline
0.85 & 296.226577085976 & 0.716680926738334 \tabularnewline
0.86 & 296.436288991246 & 0.73028942510051 \tabularnewline
0.87 & 296.657262216539 & 0.750680393316898 \tabularnewline
0.88 & 296.89095952441 & 0.770436046289233 \tabularnewline
0.89 & 297.13734691421 & 0.782762003380135 \tabularnewline
0.9 & 297.395210663231 & 0.78356274534483 \tabularnewline
0.91 & 297.662806141476 & 0.772413287201983 \tabularnewline
0.92 & 297.938917096528 & 0.751186095870845 \tabularnewline
0.93 & 298.22518733796 & 0.72322951820604 \tabularnewline
0.94 & 298.531489676890 & 0.698727242774317 \tabularnewline
0.95 & 298.884761079361 & 0.714629061070975 \tabularnewline
0.96 & 299.334778084304 & 0.838685233489656 \tabularnewline
0.97 & 299.938852531834 & 1.07189229754670 \tabularnewline
0.98 & 300.703878269254 & 1.24192748822843 \tabularnewline
0.99 & 301.49293975483 & 1.15989187165919 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78077&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]92.9663020264039[/C][C]11.7065601120090[/C][/ROW]
[ROW][C]0.02[/C][C]101.797480312006[/C][C]15.9483339627262[/C][/ROW]
[ROW][C]0.03[/C][C]111.572301249216[/C][C]15.7780592816491[/C][/ROW]
[ROW][C]0.04[/C][C]120.220863396961[/C][C]13.3557263532886[/C][/ROW]
[ROW][C]0.05[/C][C]127.173166019371[/C][C]11.4238038397818[/C][/ROW]
[ROW][C]0.06[/C][C]132.784404299615[/C][C]10.8598993523804[/C][/ROW]
[ROW][C]0.07[/C][C]137.623342013191[/C][C]11.1527392440223[/C][/ROW]
[ROW][C]0.08[/C][C]142.093794167733[/C][C]11.6119407959203[/C][/ROW]
[ROW][C]0.09[/C][C]146.375023772772[/C][C]11.8888678747147[/C][/ROW]
[ROW][C]0.1[/C][C]150.506768326254[/C][C]11.9459230142273[/C][/ROW]
[ROW][C]0.11[/C][C]154.487036166667[/C][C]11.9228135950535[/C][/ROW]
[ROW][C]0.12[/C][C]158.330693619349[/C][C]12.0115529673594[/C][/ROW]
[ROW][C]0.13[/C][C]162.085903856436[/C][C]12.3580221132257[/C][/ROW]
[ROW][C]0.14[/C][C]165.82331269635[/C][C]13.0028844141307[/C][/ROW]
[ROW][C]0.15[/C][C]169.614559906368[/C][C]13.8793483405004[/C][/ROW]
[ROW][C]0.16[/C][C]173.512439484591[/C][C]14.8550297113984[/C][/ROW]
[ROW][C]0.17[/C][C]177.539416851085[/C][C]15.7858946843430[/C][/ROW]
[ROW][C]0.18[/C][C]181.686149075892[/C][C]16.5548603696851[/C][/ROW]
[ROW][C]0.19[/C][C]185.918081543306[/C][C]17.0922576560680[/C][/ROW]
[ROW][C]0.2[/C][C]190.186470327793[/C][C]17.3784717695412[/C][/ROW]
[ROW][C]0.21[/C][C]194.440107761944[/C][C]17.4375488522037[/C][/ROW]
[ROW][C]0.22[/C][C]198.635005168464[/C][C]17.3242736224896[/C][/ROW]
[ROW][C]0.23[/C][C]202.740606610067[/C][C]17.1089737971948[/C][/ROW]
[ROW][C]0.24[/C][C]206.742247840002[/C][C]16.8650489991940[/C][/ROW]
[ROW][C]0.25[/C][C]210.640312525112[/C][C]16.6566913876122[/C][/ROW]
[ROW][C]0.26[/C][C]214.446898907240[/C][C]16.5285374723479[/C][/ROW]
[ROW][C]0.27[/C][C]218.180933627608[/C][C]16.4995674623028[/C][/ROW]
[ROW][C]0.28[/C][C]221.862684334129[/C][C]16.5601564043964[/C][/ROW]
[ROW][C]0.29[/C][C]225.508585850734[/C][C]16.675210221835[/C][/ROW]
[ROW][C]0.3[/C][C]229.127195022074[/C][C]16.7909083996512[/C][/ROW]
[ROW][C]0.31[/C][C]232.716890748583[/C][C]16.8474507783692[/C][/ROW]
[ROW][C]0.32[/C][C]236.265625258958[/C][C]16.7891410465696[/C][/ROW]
[ROW][C]0.33[/C][C]239.752647771149[/C][C]16.5770450862762[/C][/ROW]
[ROW][C]0.34[/C][C]243.151745435964[/C][C]16.194555431799[/C][/ROW]
[ROW][C]0.35[/C][C]246.435276220597[/C][C]15.6480366169002[/C][/ROW]
[ROW][C]0.36[/C][C]249.578175290993[/C][C]14.9659322429117[/C][/ROW]
[ROW][C]0.37[/C][C]252.561215843022[/C][C]14.1895282407327[/C][/ROW]
[ROW][C]0.38[/C][C]255.373051979878[/C][C]13.3674907078305[/C][/ROW]
[ROW][C]0.39[/C][C]258.01088001399[/C][C]12.5473829419221[/C][/ROW]
[ROW][C]0.4[/C][C]260.479835332967[/C][C]11.7687600382178[/C][/ROW]
[ROW][C]0.41[/C][C]262.791431732267[/C][C]11.0599282162129[/C][/ROW]
[ROW][C]0.42[/C][C]264.961429117173[/C][C]10.4381263802825[/C][/ROW]
[ROW][C]0.43[/C][C]267.007502909464[/C][C]9.90758901152103[/C][/ROW]
[ROW][C]0.44[/C][C]268.947023804421[/C][C]9.46109203627567[/C][/ROW]
[ROW][C]0.45[/C][C]270.795177549888[/C][C]9.0831811827624[/C][/ROW]
[ROW][C]0.46[/C][C]272.563582819321[/C][C]8.75073247237835[/C][/ROW]
[ROW][C]0.47[/C][C]274.259503960878[/C][C]8.43871427968786[/C][/ROW]
[ROW][C]0.48[/C][C]275.885696153579[/C][C]8.1222706128108[/C][/ROW]
[ROW][C]0.49[/C][C]277.44085509356[/C][C]7.78073063582172[/C][/ROW]
[ROW][C]0.5[/C][C]278.92057206459[/C][C]7.40021455029886[/C][/ROW]
[ROW][C]0.51[/C][C]280.318628708823[/C][C]6.97514094006748[/C][/ROW]
[ROW][C]0.52[/C][C]281.628420338323[/C][C]6.50783017738457[/C][/ROW]
[ROW][C]0.53[/C][C]282.844286602871[/C][C]6.00864583397623[/C][/ROW]
[ROW][C]0.54[/C][C]283.962559433351[/C][C]5.49169064715867[/C][/ROW]
[ROW][C]0.55[/C][C]284.982204441235[/C][C]4.97343292758364[/C][/ROW]
[ROW][C]0.56[/C][C]285.905017420005[/C][C]4.47061402536954[/C][/ROW]
[ROW][C]0.57[/C][C]286.735421461172[/C][C]3.99732769054257[/C][/ROW]
[ROW][C]0.58[/C][C]287.479973220194[/C][C]3.56344905323866[/C][/ROW]
[ROW][C]0.59[/C][C]288.146716804093[/C][C]3.17610454370803[/C][/ROW]
[ROW][C]0.6[/C][C]288.744518279394[/C][C]2.83663552309812[/C][/ROW]
[ROW][C]0.61[/C][C]289.282480270089[/C][C]2.54464256010953[/C][/ROW]
[ROW][C]0.62[/C][C]289.769488489854[/C][C]2.29790725187624[/C][/ROW]
[ROW][C]0.63[/C][C]290.213896082371[/C][C]2.09239773933096[/C][/ROW]
[ROW][C]0.64[/C][C]290.623319881439[/C][C]1.92381071295941[/C][/ROW]
[ROW][C]0.65[/C][C]291.004510950873[/C][C]1.78774281288575[/C][/ROW]
[ROW][C]0.66[/C][C]291.363268105414[/C][C]1.67955173056475[/C][/ROW]
[ROW][C]0.67[/C][C]291.704379754619[/C][C]1.59335607722902[/C][/ROW]
[ROW][C]0.68[/C][C]292.031596479877[/C][C]1.52400611503641[/C][/ROW]
[ROW][C]0.69[/C][C]292.347646411643[/C][C]1.46582406972971[/C][/ROW]
[ROW][C]0.7[/C][C]292.654304626482[/C][C]1.4140920867608[/C][/ROW]
[ROW][C]0.71[/C][C]292.952518408369[/C][C]1.36465984389843[/C][/ROW]
[ROW][C]0.72[/C][C]293.242577516115[/C][C]1.31498782779142[/C][/ROW]
[ROW][C]0.73[/C][C]293.524308219142[/C][C]1.26321556598221[/C][/ROW]
[ROW][C]0.74[/C][C]293.797265722645[/C][C]1.20872775991764[/C][/ROW]
[ROW][C]0.75[/C][C]294.060903132599[/C][C]1.15145143804670[/C][/ROW]
[ROW][C]0.76[/C][C]294.314705633027[/C][C]1.09226851963266[/C][/ROW]
[ROW][C]0.77[/C][C]294.558293677404[/C][C]1.03197118621275[/C][/ROW]
[ROW][C]0.78[/C][C]294.791514295514[/C][C]0.971405036073327[/C][/ROW]
[ROW][C]0.79[/C][C]295.014548106184[/C][C]0.91213211878869[/C][/ROW]
[ROW][C]0.8[/C][C]295.228053041523[/C][C]0.85592253425001[/C][/ROW]
[ROW][C]0.81[/C][C]295.433339117394[/C][C]0.804632069576056[/C][/ROW]
[ROW][C]0.82[/C][C]295.632526634222[/C][C]0.761866065634743[/C][/ROW]
[ROW][C]0.83[/C][C]295.828601358881[/C][C]0.731376250700543[/C][/ROW]
[ROW][C]0.84[/C][C]296.025271776222[/C][C]0.71604166190826[/C][/ROW]
[ROW][C]0.85[/C][C]296.226577085976[/C][C]0.716680926738334[/C][/ROW]
[ROW][C]0.86[/C][C]296.436288991246[/C][C]0.73028942510051[/C][/ROW]
[ROW][C]0.87[/C][C]296.657262216539[/C][C]0.750680393316898[/C][/ROW]
[ROW][C]0.88[/C][C]296.89095952441[/C][C]0.770436046289233[/C][/ROW]
[ROW][C]0.89[/C][C]297.13734691421[/C][C]0.782762003380135[/C][/ROW]
[ROW][C]0.9[/C][C]297.395210663231[/C][C]0.78356274534483[/C][/ROW]
[ROW][C]0.91[/C][C]297.662806141476[/C][C]0.772413287201983[/C][/ROW]
[ROW][C]0.92[/C][C]297.938917096528[/C][C]0.751186095870845[/C][/ROW]
[ROW][C]0.93[/C][C]298.22518733796[/C][C]0.72322951820604[/C][/ROW]
[ROW][C]0.94[/C][C]298.531489676890[/C][C]0.698727242774317[/C][/ROW]
[ROW][C]0.95[/C][C]298.884761079361[/C][C]0.714629061070975[/C][/ROW]
[ROW][C]0.96[/C][C]299.334778084304[/C][C]0.838685233489656[/C][/ROW]
[ROW][C]0.97[/C][C]299.938852531834[/C][C]1.07189229754670[/C][/ROW]
[ROW][C]0.98[/C][C]300.703878269254[/C][C]1.24192748822843[/C][/ROW]
[ROW][C]0.99[/C][C]301.49293975483[/C][C]1.15989187165919[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78077&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78077&T=1

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


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0192.966302026403911.7065601120090
0.02101.79748031200615.9483339627262
0.03111.57230124921615.7780592816491
0.04120.22086339696113.3557263532886
0.05127.17316601937111.4238038397818
0.06132.78440429961510.8598993523804
0.07137.62334201319111.1527392440223
0.08142.09379416773311.6119407959203
0.09146.37502377277211.8888678747147
0.1150.50676832625411.9459230142273
0.11154.48703616666711.9228135950535
0.12158.33069361934912.0115529673594
0.13162.08590385643612.3580221132257
0.14165.8233126963513.0028844141307
0.15169.61455990636813.8793483405004
0.16173.51243948459114.8550297113984
0.17177.53941685108515.7858946843430
0.18181.68614907589216.5548603696851
0.19185.91808154330617.0922576560680
0.2190.18647032779317.3784717695412
0.21194.44010776194417.4375488522037
0.22198.63500516846417.3242736224896
0.23202.74060661006717.1089737971948
0.24206.74224784000216.8650489991940
0.25210.64031252511216.6566913876122
0.26214.44689890724016.5285374723479
0.27218.18093362760816.4995674623028
0.28221.86268433412916.5601564043964
0.29225.50858585073416.675210221835
0.3229.12719502207416.7909083996512
0.31232.71689074858316.8474507783692
0.32236.26562525895816.7891410465696
0.33239.75264777114916.5770450862762
0.34243.15174543596416.194555431799
0.35246.43527622059715.6480366169002
0.36249.57817529099314.9659322429117
0.37252.56121584302214.1895282407327
0.38255.37305197987813.3674907078305
0.39258.0108800139912.5473829419221
0.4260.47983533296711.7687600382178
0.41262.79143173226711.0599282162129
0.42264.96142911717310.4381263802825
0.43267.0075029094649.90758901152103
0.44268.9470238044219.46109203627567
0.45270.7951775498889.0831811827624
0.46272.5635828193218.75073247237835
0.47274.2595039608788.43871427968786
0.48275.8856961535798.1222706128108
0.49277.440855093567.78073063582172
0.5278.920572064597.40021455029886
0.51280.3186287088236.97514094006748
0.52281.6284203383236.50783017738457
0.53282.8442866028716.00864583397623
0.54283.9625594333515.49169064715867
0.55284.9822044412354.97343292758364
0.56285.9050174200054.47061402536954
0.57286.7354214611723.99732769054257
0.58287.4799732201943.56344905323866
0.59288.1467168040933.17610454370803
0.6288.7445182793942.83663552309812
0.61289.2824802700892.54464256010953
0.62289.7694884898542.29790725187624
0.63290.2138960823712.09239773933096
0.64290.6233198814391.92381071295941
0.65291.0045109508731.78774281288575
0.66291.3632681054141.67955173056475
0.67291.7043797546191.59335607722902
0.68292.0315964798771.52400611503641
0.69292.3476464116431.46582406972971
0.7292.6543046264821.4140920867608
0.71292.9525184083691.36465984389843
0.72293.2425775161151.31498782779142
0.73293.5243082191421.26321556598221
0.74293.7972657226451.20872775991764
0.75294.0609031325991.15145143804670
0.76294.3147056330271.09226851963266
0.77294.5582936774041.03197118621275
0.78294.7915142955140.971405036073327
0.79295.0145481061840.91213211878869
0.8295.2280530415230.85592253425001
0.81295.4333391173940.804632069576056
0.82295.6325266342220.761866065634743
0.83295.8286013588810.731376250700543
0.84296.0252717762220.71604166190826
0.85296.2265770859760.716680926738334
0.86296.4362889912460.73028942510051
0.87296.6572622165390.750680393316898
0.88296.890959524410.770436046289233
0.89297.137346914210.782762003380135
0.9297.3952106632310.78356274534483
0.91297.6628061414760.772413287201983
0.92297.9389170965280.751186095870845
0.93298.225187337960.72322951820604
0.94298.5314896768900.698727242774317
0.95298.8847610793610.714629061070975
0.96299.3347780843040.838685233489656
0.97299.9388525318341.07189229754670
0.98300.7038782692541.24192748822843
0.99301.492939754831.15989187165919


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')