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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, 08 Mar 2009 14:26:34 -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/2009/Mar/08/t12365440564tixon27ls1h6wz.htm/, Retrieved Sat, 27 Apr 2024 18:30:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38712, Retrieved Sat, 27 Apr 2024 18:30:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact124

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] [HD Percentielen -...] [2009-03-08 20:26:34] [f40d51a95968de218a79272805382c2a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
166.7
159.7
191
239.4
321.9
362.7
413.6
407.1
383.2
347.7
333.8
312.3
295.4
283.3
287.6
265.7
250.2
234.7
244
231.2
223.8
223.5
210.5
201.6
190.7
207.5
198.8
196.6
204.2
227.4
229.7
217.9
221.4
216.3
197
193.8
196.8
180.5
174.8
181.6
190
190.6
179
174.1
161.1
168.6
169.4
152.2
148.3
137.7
145
153.4
141.7
142.7
135.9
131.8
134.6
127.5
126.5
118.7
117.1
110.7
107.1
105.4
99
104
101.1
99.3
95.8
94.1
104.8
110.9

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=38712&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=38712&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38712&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
0.1106.2540556863934.70101985397289
0.11107.7343428784125.41916206870611
0.12109.3532296949426.22682258472554
0.13111.1257878771797.06319296292312
0.14113.0527296947657.86263174561924
0.15115.1199158457448.56592196100978
0.16117.3007166816239.12777621707428
0.17119.5602605277509.52243242782454
0.18121.8604892610249.74577568872486
0.19124.1650819847329.81456847349634
0.2126.4435312785509.76208478518399
0.21128.6739096739549.63179915198629
0.22130.8441319170859.47144592127614
0.23132.9517753339959.32477336662921
0.24135.0027266788769.22747061600532
0.25137.0090464847829.20282759801482
0.26138.9864720194469.2618874344183
0.27140.9519337828649.40254690742073
0.28142.9213694004479.61258872244478
0.29144.9080150994519.87277535422355
0.3146.92126173464810.1596833858356
0.31148.96608969515610.4488129829162
0.32151.04304451875710.7175134992261
0.33153.14867689617210.9459758934031
0.34155.27634122500311.1205901417893
0.35157.41722364027911.2328169240745
0.36159.56145532662311.2818358109979
0.37161.69916439313411.2713503501355
0.38163.82133415067511.2099739407765
0.39165.92036909957811.1084087002734
0.4167.99031980269410.9776436303648
0.41170.02677703320910.8271278862166
0.42172.02650383371010.6622376370191
0.43173.98692016016810.4841614580855
0.44175.90557916397410.2911386818151
0.45177.77977160806110.0783411796811
0.46179.6063657127869.84065581852583
0.47181.3819398078559.57501289664187
0.48183.1032047595199.28128623738148
0.49184.7676543966658.9648430263349
0.5186.3743363069748.63648746021753
0.51187.9246102153798.31223131114244
0.52189.4227595734618.01126919371624
0.53190.8763418784977.75554865511071
0.54192.2961988167177.56665383971098
0.55193.6960912424547.46217562965324
0.56195.0919695177287.45470483776463
0.57196.5009321053737.54897077424026
0.58197.9399620288487.73965475460096
0.59199.4245607661738.01295002411356
0.6200.9674212423708.34737769628796
0.61202.5772936676778.71471121380955
0.62204.2581966428969.08428447949685
0.63206.0091075539329.42550457395516
0.64207.824228673389.71103805785178
0.65209.6938698846299.92070729728008
0.66211.60592141147510.0435873643817
0.67213.5478204263210.0802555868193
0.68215.50885602067310.0448181979401
0.69217.4826183398799.96351428305442
0.7219.4693847939729.87475655975847
0.71221.4782457736759.82723759791046
0.72223.5287920726889.87652987872628
0.73225.65219900044510.0816795816392
0.74227.89153357192410.4994617279983
0.75230.30108034721411.1785683731674
0.76232.94445073690212.1525218950221
0.77235.89125755723813.4313088199776
0.78239.21226280944714.9967358860195
0.79242.97318880452916.7966590807847
0.8247.22781261491518.7448020134979
0.81252.01144404387720.7259789626650
0.82257.33623058775422.6095924161704
0.83263.18971838912724.2689944061970
0.84269.53758374784825.6037744338083
0.85276.33049553101326.5601172352673
0.86283.51399062365027.1382256409202
0.87291.03951989251227.3872190522355
0.88298.87484334798527.3868301655485
0.89307.01273386987827.2285172623235
0.9315.47795510058727.0019374777627

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.1 & 106.254055686393 & 4.70101985397289 \tabularnewline
0.11 & 107.734342878412 & 5.41916206870611 \tabularnewline
0.12 & 109.353229694942 & 6.22682258472554 \tabularnewline
0.13 & 111.125787877179 & 7.06319296292312 \tabularnewline
0.14 & 113.052729694765 & 7.86263174561924 \tabularnewline
0.15 & 115.119915845744 & 8.56592196100978 \tabularnewline
0.16 & 117.300716681623 & 9.12777621707428 \tabularnewline
0.17 & 119.560260527750 & 9.52243242782454 \tabularnewline
0.18 & 121.860489261024 & 9.74577568872486 \tabularnewline
0.19 & 124.165081984732 & 9.81456847349634 \tabularnewline
0.2 & 126.443531278550 & 9.76208478518399 \tabularnewline
0.21 & 128.673909673954 & 9.63179915198629 \tabularnewline
0.22 & 130.844131917085 & 9.47144592127614 \tabularnewline
0.23 & 132.951775333995 & 9.32477336662921 \tabularnewline
0.24 & 135.002726678876 & 9.22747061600532 \tabularnewline
0.25 & 137.009046484782 & 9.20282759801482 \tabularnewline
0.26 & 138.986472019446 & 9.2618874344183 \tabularnewline
0.27 & 140.951933782864 & 9.40254690742073 \tabularnewline
0.28 & 142.921369400447 & 9.61258872244478 \tabularnewline
0.29 & 144.908015099451 & 9.87277535422355 \tabularnewline
0.3 & 146.921261734648 & 10.1596833858356 \tabularnewline
0.31 & 148.966089695156 & 10.4488129829162 \tabularnewline
0.32 & 151.043044518757 & 10.7175134992261 \tabularnewline
0.33 & 153.148676896172 & 10.9459758934031 \tabularnewline
0.34 & 155.276341225003 & 11.1205901417893 \tabularnewline
0.35 & 157.417223640279 & 11.2328169240745 \tabularnewline
0.36 & 159.561455326623 & 11.2818358109979 \tabularnewline
0.37 & 161.699164393134 & 11.2713503501355 \tabularnewline
0.38 & 163.821334150675 & 11.2099739407765 \tabularnewline
0.39 & 165.920369099578 & 11.1084087002734 \tabularnewline
0.4 & 167.990319802694 & 10.9776436303648 \tabularnewline
0.41 & 170.026777033209 & 10.8271278862166 \tabularnewline
0.42 & 172.026503833710 & 10.6622376370191 \tabularnewline
0.43 & 173.986920160168 & 10.4841614580855 \tabularnewline
0.44 & 175.905579163974 & 10.2911386818151 \tabularnewline
0.45 & 177.779771608061 & 10.0783411796811 \tabularnewline
0.46 & 179.606365712786 & 9.84065581852583 \tabularnewline
0.47 & 181.381939807855 & 9.57501289664187 \tabularnewline
0.48 & 183.103204759519 & 9.28128623738148 \tabularnewline
0.49 & 184.767654396665 & 8.9648430263349 \tabularnewline
0.5 & 186.374336306974 & 8.63648746021753 \tabularnewline
0.51 & 187.924610215379 & 8.31223131114244 \tabularnewline
0.52 & 189.422759573461 & 8.01126919371624 \tabularnewline
0.53 & 190.876341878497 & 7.75554865511071 \tabularnewline
0.54 & 192.296198816717 & 7.56665383971098 \tabularnewline
0.55 & 193.696091242454 & 7.46217562965324 \tabularnewline
0.56 & 195.091969517728 & 7.45470483776463 \tabularnewline
0.57 & 196.500932105373 & 7.54897077424026 \tabularnewline
0.58 & 197.939962028848 & 7.73965475460096 \tabularnewline
0.59 & 199.424560766173 & 8.01295002411356 \tabularnewline
0.6 & 200.967421242370 & 8.34737769628796 \tabularnewline
0.61 & 202.577293667677 & 8.71471121380955 \tabularnewline
0.62 & 204.258196642896 & 9.08428447949685 \tabularnewline
0.63 & 206.009107553932 & 9.42550457395516 \tabularnewline
0.64 & 207.82422867338 & 9.71103805785178 \tabularnewline
0.65 & 209.693869884629 & 9.92070729728008 \tabularnewline
0.66 & 211.605921411475 & 10.0435873643817 \tabularnewline
0.67 & 213.54782042632 & 10.0802555868193 \tabularnewline
0.68 & 215.508856020673 & 10.0448181979401 \tabularnewline
0.69 & 217.482618339879 & 9.96351428305442 \tabularnewline
0.7 & 219.469384793972 & 9.87475655975847 \tabularnewline
0.71 & 221.478245773675 & 9.82723759791046 \tabularnewline
0.72 & 223.528792072688 & 9.87652987872628 \tabularnewline
0.73 & 225.652199000445 & 10.0816795816392 \tabularnewline
0.74 & 227.891533571924 & 10.4994617279983 \tabularnewline
0.75 & 230.301080347214 & 11.1785683731674 \tabularnewline
0.76 & 232.944450736902 & 12.1525218950221 \tabularnewline
0.77 & 235.891257557238 & 13.4313088199776 \tabularnewline
0.78 & 239.212262809447 & 14.9967358860195 \tabularnewline
0.79 & 242.973188804529 & 16.7966590807847 \tabularnewline
0.8 & 247.227812614915 & 18.7448020134979 \tabularnewline
0.81 & 252.011444043877 & 20.7259789626650 \tabularnewline
0.82 & 257.336230587754 & 22.6095924161704 \tabularnewline
0.83 & 263.189718389127 & 24.2689944061970 \tabularnewline
0.84 & 269.537583747848 & 25.6037744338083 \tabularnewline
0.85 & 276.330495531013 & 26.5601172352673 \tabularnewline
0.86 & 283.513990623650 & 27.1382256409202 \tabularnewline
0.87 & 291.039519892512 & 27.3872190522355 \tabularnewline
0.88 & 298.874843347985 & 27.3868301655485 \tabularnewline
0.89 & 307.012733869878 & 27.2285172623235 \tabularnewline
0.9 & 315.477955100587 & 27.0019374777627 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38712&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.1[/C][C]106.254055686393[/C][C]4.70101985397289[/C][/ROW]
[ROW][C]0.11[/C][C]107.734342878412[/C][C]5.41916206870611[/C][/ROW]
[ROW][C]0.12[/C][C]109.353229694942[/C][C]6.22682258472554[/C][/ROW]
[ROW][C]0.13[/C][C]111.125787877179[/C][C]7.06319296292312[/C][/ROW]
[ROW][C]0.14[/C][C]113.052729694765[/C][C]7.86263174561924[/C][/ROW]
[ROW][C]0.15[/C][C]115.119915845744[/C][C]8.56592196100978[/C][/ROW]
[ROW][C]0.16[/C][C]117.300716681623[/C][C]9.12777621707428[/C][/ROW]
[ROW][C]0.17[/C][C]119.560260527750[/C][C]9.52243242782454[/C][/ROW]
[ROW][C]0.18[/C][C]121.860489261024[/C][C]9.74577568872486[/C][/ROW]
[ROW][C]0.19[/C][C]124.165081984732[/C][C]9.81456847349634[/C][/ROW]
[ROW][C]0.2[/C][C]126.443531278550[/C][C]9.76208478518399[/C][/ROW]
[ROW][C]0.21[/C][C]128.673909673954[/C][C]9.63179915198629[/C][/ROW]
[ROW][C]0.22[/C][C]130.844131917085[/C][C]9.47144592127614[/C][/ROW]
[ROW][C]0.23[/C][C]132.951775333995[/C][C]9.32477336662921[/C][/ROW]
[ROW][C]0.24[/C][C]135.002726678876[/C][C]9.22747061600532[/C][/ROW]
[ROW][C]0.25[/C][C]137.009046484782[/C][C]9.20282759801482[/C][/ROW]
[ROW][C]0.26[/C][C]138.986472019446[/C][C]9.2618874344183[/C][/ROW]
[ROW][C]0.27[/C][C]140.951933782864[/C][C]9.40254690742073[/C][/ROW]
[ROW][C]0.28[/C][C]142.921369400447[/C][C]9.61258872244478[/C][/ROW]
[ROW][C]0.29[/C][C]144.908015099451[/C][C]9.87277535422355[/C][/ROW]
[ROW][C]0.3[/C][C]146.921261734648[/C][C]10.1596833858356[/C][/ROW]
[ROW][C]0.31[/C][C]148.966089695156[/C][C]10.4488129829162[/C][/ROW]
[ROW][C]0.32[/C][C]151.043044518757[/C][C]10.7175134992261[/C][/ROW]
[ROW][C]0.33[/C][C]153.148676896172[/C][C]10.9459758934031[/C][/ROW]
[ROW][C]0.34[/C][C]155.276341225003[/C][C]11.1205901417893[/C][/ROW]
[ROW][C]0.35[/C][C]157.417223640279[/C][C]11.2328169240745[/C][/ROW]
[ROW][C]0.36[/C][C]159.561455326623[/C][C]11.2818358109979[/C][/ROW]
[ROW][C]0.37[/C][C]161.699164393134[/C][C]11.2713503501355[/C][/ROW]
[ROW][C]0.38[/C][C]163.821334150675[/C][C]11.2099739407765[/C][/ROW]
[ROW][C]0.39[/C][C]165.920369099578[/C][C]11.1084087002734[/C][/ROW]
[ROW][C]0.4[/C][C]167.990319802694[/C][C]10.9776436303648[/C][/ROW]
[ROW][C]0.41[/C][C]170.026777033209[/C][C]10.8271278862166[/C][/ROW]
[ROW][C]0.42[/C][C]172.026503833710[/C][C]10.6622376370191[/C][/ROW]
[ROW][C]0.43[/C][C]173.986920160168[/C][C]10.4841614580855[/C][/ROW]
[ROW][C]0.44[/C][C]175.905579163974[/C][C]10.2911386818151[/C][/ROW]
[ROW][C]0.45[/C][C]177.779771608061[/C][C]10.0783411796811[/C][/ROW]
[ROW][C]0.46[/C][C]179.606365712786[/C][C]9.84065581852583[/C][/ROW]
[ROW][C]0.47[/C][C]181.381939807855[/C][C]9.57501289664187[/C][/ROW]
[ROW][C]0.48[/C][C]183.103204759519[/C][C]9.28128623738148[/C][/ROW]
[ROW][C]0.49[/C][C]184.767654396665[/C][C]8.9648430263349[/C][/ROW]
[ROW][C]0.5[/C][C]186.374336306974[/C][C]8.63648746021753[/C][/ROW]
[ROW][C]0.51[/C][C]187.924610215379[/C][C]8.31223131114244[/C][/ROW]
[ROW][C]0.52[/C][C]189.422759573461[/C][C]8.01126919371624[/C][/ROW]
[ROW][C]0.53[/C][C]190.876341878497[/C][C]7.75554865511071[/C][/ROW]
[ROW][C]0.54[/C][C]192.296198816717[/C][C]7.56665383971098[/C][/ROW]
[ROW][C]0.55[/C][C]193.696091242454[/C][C]7.46217562965324[/C][/ROW]
[ROW][C]0.56[/C][C]195.091969517728[/C][C]7.45470483776463[/C][/ROW]
[ROW][C]0.57[/C][C]196.500932105373[/C][C]7.54897077424026[/C][/ROW]
[ROW][C]0.58[/C][C]197.939962028848[/C][C]7.73965475460096[/C][/ROW]
[ROW][C]0.59[/C][C]199.424560766173[/C][C]8.01295002411356[/C][/ROW]
[ROW][C]0.6[/C][C]200.967421242370[/C][C]8.34737769628796[/C][/ROW]
[ROW][C]0.61[/C][C]202.577293667677[/C][C]8.71471121380955[/C][/ROW]
[ROW][C]0.62[/C][C]204.258196642896[/C][C]9.08428447949685[/C][/ROW]
[ROW][C]0.63[/C][C]206.009107553932[/C][C]9.42550457395516[/C][/ROW]
[ROW][C]0.64[/C][C]207.82422867338[/C][C]9.71103805785178[/C][/ROW]
[ROW][C]0.65[/C][C]209.693869884629[/C][C]9.92070729728008[/C][/ROW]
[ROW][C]0.66[/C][C]211.605921411475[/C][C]10.0435873643817[/C][/ROW]
[ROW][C]0.67[/C][C]213.54782042632[/C][C]10.0802555868193[/C][/ROW]
[ROW][C]0.68[/C][C]215.508856020673[/C][C]10.0448181979401[/C][/ROW]
[ROW][C]0.69[/C][C]217.482618339879[/C][C]9.96351428305442[/C][/ROW]
[ROW][C]0.7[/C][C]219.469384793972[/C][C]9.87475655975847[/C][/ROW]
[ROW][C]0.71[/C][C]221.478245773675[/C][C]9.82723759791046[/C][/ROW]
[ROW][C]0.72[/C][C]223.528792072688[/C][C]9.87652987872628[/C][/ROW]
[ROW][C]0.73[/C][C]225.652199000445[/C][C]10.0816795816392[/C][/ROW]
[ROW][C]0.74[/C][C]227.891533571924[/C][C]10.4994617279983[/C][/ROW]
[ROW][C]0.75[/C][C]230.301080347214[/C][C]11.1785683731674[/C][/ROW]
[ROW][C]0.76[/C][C]232.944450736902[/C][C]12.1525218950221[/C][/ROW]
[ROW][C]0.77[/C][C]235.891257557238[/C][C]13.4313088199776[/C][/ROW]
[ROW][C]0.78[/C][C]239.212262809447[/C][C]14.9967358860195[/C][/ROW]
[ROW][C]0.79[/C][C]242.973188804529[/C][C]16.7966590807847[/C][/ROW]
[ROW][C]0.8[/C][C]247.227812614915[/C][C]18.7448020134979[/C][/ROW]
[ROW][C]0.81[/C][C]252.011444043877[/C][C]20.7259789626650[/C][/ROW]
[ROW][C]0.82[/C][C]257.336230587754[/C][C]22.6095924161704[/C][/ROW]
[ROW][C]0.83[/C][C]263.189718389127[/C][C]24.2689944061970[/C][/ROW]
[ROW][C]0.84[/C][C]269.537583747848[/C][C]25.6037744338083[/C][/ROW]
[ROW][C]0.85[/C][C]276.330495531013[/C][C]26.5601172352673[/C][/ROW]
[ROW][C]0.86[/C][C]283.513990623650[/C][C]27.1382256409202[/C][/ROW]
[ROW][C]0.87[/C][C]291.039519892512[/C][C]27.3872190522355[/C][/ROW]
[ROW][C]0.88[/C][C]298.874843347985[/C][C]27.3868301655485[/C][/ROW]
[ROW][C]0.89[/C][C]307.012733869878[/C][C]27.2285172623235[/C][/ROW]
[ROW][C]0.9[/C][C]315.477955100587[/C][C]27.0019374777627[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38712&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38712&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
0.1106.2540556863934.70101985397289
0.11107.7343428784125.41916206870611
0.12109.3532296949426.22682258472554
0.13111.1257878771797.06319296292312
0.14113.0527296947657.86263174561924
0.15115.1199158457448.56592196100978
0.16117.3007166816239.12777621707428
0.17119.5602605277509.52243242782454
0.18121.8604892610249.74577568872486
0.19124.1650819847329.81456847349634
0.2126.4435312785509.76208478518399
0.21128.6739096739549.63179915198629
0.22130.8441319170859.47144592127614
0.23132.9517753339959.32477336662921
0.24135.0027266788769.22747061600532
0.25137.0090464847829.20282759801482
0.26138.9864720194469.2618874344183
0.27140.9519337828649.40254690742073
0.28142.9213694004479.61258872244478
0.29144.9080150994519.87277535422355
0.3146.92126173464810.1596833858356
0.31148.96608969515610.4488129829162
0.32151.04304451875710.7175134992261
0.33153.14867689617210.9459758934031
0.34155.27634122500311.1205901417893
0.35157.41722364027911.2328169240745
0.36159.56145532662311.2818358109979
0.37161.69916439313411.2713503501355
0.38163.82133415067511.2099739407765
0.39165.92036909957811.1084087002734
0.4167.99031980269410.9776436303648
0.41170.02677703320910.8271278862166
0.42172.02650383371010.6622376370191
0.43173.98692016016810.4841614580855
0.44175.90557916397410.2911386818151
0.45177.77977160806110.0783411796811
0.46179.6063657127869.84065581852583
0.47181.3819398078559.57501289664187
0.48183.1032047595199.28128623738148
0.49184.7676543966658.9648430263349
0.5186.3743363069748.63648746021753
0.51187.9246102153798.31223131114244
0.52189.4227595734618.01126919371624
0.53190.8763418784977.75554865511071
0.54192.2961988167177.56665383971098
0.55193.6960912424547.46217562965324
0.56195.0919695177287.45470483776463
0.57196.5009321053737.54897077424026
0.58197.9399620288487.73965475460096
0.59199.4245607661738.01295002411356
0.6200.9674212423708.34737769628796
0.61202.5772936676778.71471121380955
0.62204.2581966428969.08428447949685
0.63206.0091075539329.42550457395516
0.64207.824228673389.71103805785178
0.65209.6938698846299.92070729728008
0.66211.60592141147510.0435873643817
0.67213.5478204263210.0802555868193
0.68215.50885602067310.0448181979401
0.69217.4826183398799.96351428305442
0.7219.4693847939729.87475655975847
0.71221.4782457736759.82723759791046
0.72223.5287920726889.87652987872628
0.73225.65219900044510.0816795816392
0.74227.89153357192410.4994617279983
0.75230.30108034721411.1785683731674
0.76232.94445073690212.1525218950221
0.77235.89125755723813.4313088199776
0.78239.21226280944714.9967358860195
0.79242.97318880452916.7966590807847
0.8247.22781261491518.7448020134979
0.81252.01144404387720.7259789626650
0.82257.33623058775422.6095924161704
0.83263.18971838912724.2689944061970
0.84269.53758374784825.6037744338083
0.85276.33049553101326.5601172352673
0.86283.51399062365027.1382256409202
0.87291.03951989251227.3872190522355
0.88298.87484334798527.3868301655485
0.89307.01273386987827.2285172623235
0.9315.47795510058727.0019374777627


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.10 ; par2 = 0.90 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.10 ; par2 = 0.90 ; 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')