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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 06 Aug 2013 07:36:58 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Aug/06/t1375789058qflxlv1ppptal2p.htm/, Retrieved Sun, 28 Apr 2024 18:55:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=210963, Retrieved Sun, 28 Apr 2024 18:55:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact151

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] [stap 12/1] [2013-08-06 11:36:58] [38a0db91cd47487c7649642dcb33e029] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
57
56
55
53
73
72
57
47
48
48
49
51
45
39
34
34
53
55
40
22
31
31
39
43
42
31
37
35
52
48
31
19
30
34
37
41
32
25
28
29
56
56
41
39
45
42
50
60
62
48
44
40
67
69
64
69
68
60
69
79
83
71
63
69
95
103
101
105
104
94
111
116
122
103
96
104
124
141
137
137
139
132
150
150
147
130
133
135
148
165
153
159
154
151
174
169
162
152
162
167
173
181
173
178
172
171
196
199
190
176
188
193
200
209
200
207
204
192
216
216

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210963&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210963&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210963&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0121.16408615299713.09380776909767
0.0224.16964886520743.18878003887192
0.0326.68784313844972.7226982547378
0.0428.49185258639262.06919672826551
0.0529.72513394669831.58317129120672
0.0630.60881667312131.38601500913466
0.0731.33911792424881.46851476695924
0.0832.05111518806221.71938492587287
0.0932.81435560514872.01057002289221
0.133.64569499700432.26337147867403
0.1134.53033622954782.44519244354183
0.1235.44080442830672.54665454306442
0.1336.34862843324372.56880589632938
0.1437.23037107937512.52540137485436
0.1538.07130215017312.44633825401669
0.1638.86762877050192.37135239832936
0.1739.62635457526662.3369285033131
0.1840.36228976122442.36345029133959
0.1941.09318690815032.45045166974502
0.241.83479259014452.5803860064166
0.2142.59735818114932.7276374674625
0.2243.38434169409582.86694744970106
0.2344.19322538223382.98042705593522
0.2445.01781713075183.06117719037273
0.2545.8511155279763.11383996153662
0.2646.68778687500143.15132643852524
0.2747.52553658559973.18898873980856
0.2848.36511684552743.23840221747131
0.2949.20924949268623.30316472733322
0.350.06114270454553.37965726025228
0.3150.92337022347423.46086502129104
0.3251.79763156888473.54212078986744
0.3352.68544899908723.62547106727478
0.3453.5894003043823.72051941583719
0.3554.5142366105253.84161306342034
0.3655.46728777905184.00255361392845
0.3756.45787865888544.21092280784286
0.3857.49592853712564.4643045658419
0.3958.59030446071154.751590559568
0.459.74769197098815.05786437504247
0.4160.97265099533515.37217339048228
0.4262.26915014537315.69508813108984
0.4363.64332030744066.04447757899462
0.4465.10660709501096.45495648472202
0.4566.67812803993126.97166039132774
0.4668.38502367826297.63548145218688
0.4770.26001298606758.46626211212494
0.4872.3361656792439.4491545175723
0.4974.639876425909210.5303102938063
0.577.183847125209811.6249644001678
0.5179.962219370297912.6348006642693
0.5282.949636180776613.4691933928408
0.5386.104968017283314.0683206045647
0.5489.378998762358814.4172781132138
0.5592.724014122693814.5499567447735
0.5696.102477296352814.5378004368812
0.5799.492149692412414.4685492727346
0.58102.8861244893114.4158077731173
0.59106.28793303014214.4163664923977
0.6109.70355632478814.4580550879719
0.61113.13320217975114.4890381400544
0.62116.56569689366214.4391458187694
0.63119.97729233559514.2476358005253
0.64123.3350201711113.882228670881
0.65126.60310225620813.3493838315802
0.66129.74999260529912.688671337154
0.67132.7537231896411.9581499195098
0.68135.60423924321311.216284442033
0.69138.30281906944510.5095096827241
0.7140.8597933813669.86561335344588
0.71143.2920936675599.3003193130366
0.72145.6215847611128.82529783713648
0.73147.8740742148688.45321226296881
0.74150.0780140544618.19609709169262
0.75152.2617898105588.05286049108187
0.76154.4492600381347.99879046872521
0.77156.6544733582147.98346592729373
0.78158.8775560337637.94278939332787
0.79161.1040373874697.81772271268468
0.8163.3091723994937.57473375279036
0.81165.4673528845017.22255628534505
0.82167.5648688707646.81715502303889
0.83169.6124566225986.45788958176468
0.84171.6526648986596.26533360774988
0.85173.7568546205756.33666131715426
0.86176.008780203026.68563879109823
0.87178.4769399124247.20658418809379
0.88181.1850008590747.70137754634234
0.89184.0944141127357.95714107927905
0.9187.1106269498487.83673910962336
0.91190.1132530327457.33623103798962
0.92192.9987317502446.57493237905204
0.93195.7213910165165.74095445273769
0.94198.3238925867645.04411477931037
0.95200.9490834289144.67259326117281
0.96203.8245084137534.67426300320113
0.97207.1936191143064.92714582605281
0.98211.0357737689694.99409802342501
0.99214.4635039651213.28252378337466

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 21.1640861529971 & 3.09380776909767 \tabularnewline
0.02 & 24.1696488652074 & 3.18878003887192 \tabularnewline
0.03 & 26.6878431384497 & 2.7226982547378 \tabularnewline
0.04 & 28.4918525863926 & 2.06919672826551 \tabularnewline
0.05 & 29.7251339466983 & 1.58317129120672 \tabularnewline
0.06 & 30.6088166731213 & 1.38601500913466 \tabularnewline
0.07 & 31.3391179242488 & 1.46851476695924 \tabularnewline
0.08 & 32.0511151880622 & 1.71938492587287 \tabularnewline
0.09 & 32.8143556051487 & 2.01057002289221 \tabularnewline
0.1 & 33.6456949970043 & 2.26337147867403 \tabularnewline
0.11 & 34.5303362295478 & 2.44519244354183 \tabularnewline
0.12 & 35.4408044283067 & 2.54665454306442 \tabularnewline
0.13 & 36.3486284332437 & 2.56880589632938 \tabularnewline
0.14 & 37.2303710793751 & 2.52540137485436 \tabularnewline
0.15 & 38.0713021501731 & 2.44633825401669 \tabularnewline
0.16 & 38.8676287705019 & 2.37135239832936 \tabularnewline
0.17 & 39.6263545752666 & 2.3369285033131 \tabularnewline
0.18 & 40.3622897612244 & 2.36345029133959 \tabularnewline
0.19 & 41.0931869081503 & 2.45045166974502 \tabularnewline
0.2 & 41.8347925901445 & 2.5803860064166 \tabularnewline
0.21 & 42.5973581811493 & 2.7276374674625 \tabularnewline
0.22 & 43.3843416940958 & 2.86694744970106 \tabularnewline
0.23 & 44.1932253822338 & 2.98042705593522 \tabularnewline
0.24 & 45.0178171307518 & 3.06117719037273 \tabularnewline
0.25 & 45.851115527976 & 3.11383996153662 \tabularnewline
0.26 & 46.6877868750014 & 3.15132643852524 \tabularnewline
0.27 & 47.5255365855997 & 3.18898873980856 \tabularnewline
0.28 & 48.3651168455274 & 3.23840221747131 \tabularnewline
0.29 & 49.2092494926862 & 3.30316472733322 \tabularnewline
0.3 & 50.0611427045455 & 3.37965726025228 \tabularnewline
0.31 & 50.9233702234742 & 3.46086502129104 \tabularnewline
0.32 & 51.7976315688847 & 3.54212078986744 \tabularnewline
0.33 & 52.6854489990872 & 3.62547106727478 \tabularnewline
0.34 & 53.589400304382 & 3.72051941583719 \tabularnewline
0.35 & 54.514236610525 & 3.84161306342034 \tabularnewline
0.36 & 55.4672877790518 & 4.00255361392845 \tabularnewline
0.37 & 56.4578786588854 & 4.21092280784286 \tabularnewline
0.38 & 57.4959285371256 & 4.4643045658419 \tabularnewline
0.39 & 58.5903044607115 & 4.751590559568 \tabularnewline
0.4 & 59.7476919709881 & 5.05786437504247 \tabularnewline
0.41 & 60.9726509953351 & 5.37217339048228 \tabularnewline
0.42 & 62.2691501453731 & 5.69508813108984 \tabularnewline
0.43 & 63.6433203074406 & 6.04447757899462 \tabularnewline
0.44 & 65.1066070950109 & 6.45495648472202 \tabularnewline
0.45 & 66.6781280399312 & 6.97166039132774 \tabularnewline
0.46 & 68.3850236782629 & 7.63548145218688 \tabularnewline
0.47 & 70.2600129860675 & 8.46626211212494 \tabularnewline
0.48 & 72.336165679243 & 9.4491545175723 \tabularnewline
0.49 & 74.6398764259092 & 10.5303102938063 \tabularnewline
0.5 & 77.1838471252098 & 11.6249644001678 \tabularnewline
0.51 & 79.9622193702979 & 12.6348006642693 \tabularnewline
0.52 & 82.9496361807766 & 13.4691933928408 \tabularnewline
0.53 & 86.1049680172833 & 14.0683206045647 \tabularnewline
0.54 & 89.3789987623588 & 14.4172781132138 \tabularnewline
0.55 & 92.7240141226938 & 14.5499567447735 \tabularnewline
0.56 & 96.1024772963528 & 14.5378004368812 \tabularnewline
0.57 & 99.4921496924124 & 14.4685492727346 \tabularnewline
0.58 & 102.88612448931 & 14.4158077731173 \tabularnewline
0.59 & 106.287933030142 & 14.4163664923977 \tabularnewline
0.6 & 109.703556324788 & 14.4580550879719 \tabularnewline
0.61 & 113.133202179751 & 14.4890381400544 \tabularnewline
0.62 & 116.565696893662 & 14.4391458187694 \tabularnewline
0.63 & 119.977292335595 & 14.2476358005253 \tabularnewline
0.64 & 123.33502017111 & 13.882228670881 \tabularnewline
0.65 & 126.603102256208 & 13.3493838315802 \tabularnewline
0.66 & 129.749992605299 & 12.688671337154 \tabularnewline
0.67 & 132.75372318964 & 11.9581499195098 \tabularnewline
0.68 & 135.604239243213 & 11.216284442033 \tabularnewline
0.69 & 138.302819069445 & 10.5095096827241 \tabularnewline
0.7 & 140.859793381366 & 9.86561335344588 \tabularnewline
0.71 & 143.292093667559 & 9.3003193130366 \tabularnewline
0.72 & 145.621584761112 & 8.82529783713648 \tabularnewline
0.73 & 147.874074214868 & 8.45321226296881 \tabularnewline
0.74 & 150.078014054461 & 8.19609709169262 \tabularnewline
0.75 & 152.261789810558 & 8.05286049108187 \tabularnewline
0.76 & 154.449260038134 & 7.99879046872521 \tabularnewline
0.77 & 156.654473358214 & 7.98346592729373 \tabularnewline
0.78 & 158.877556033763 & 7.94278939332787 \tabularnewline
0.79 & 161.104037387469 & 7.81772271268468 \tabularnewline
0.8 & 163.309172399493 & 7.57473375279036 \tabularnewline
0.81 & 165.467352884501 & 7.22255628534505 \tabularnewline
0.82 & 167.564868870764 & 6.81715502303889 \tabularnewline
0.83 & 169.612456622598 & 6.45788958176468 \tabularnewline
0.84 & 171.652664898659 & 6.26533360774988 \tabularnewline
0.85 & 173.756854620575 & 6.33666131715426 \tabularnewline
0.86 & 176.00878020302 & 6.68563879109823 \tabularnewline
0.87 & 178.476939912424 & 7.20658418809379 \tabularnewline
0.88 & 181.185000859074 & 7.70137754634234 \tabularnewline
0.89 & 184.094414112735 & 7.95714107927905 \tabularnewline
0.9 & 187.110626949848 & 7.83673910962336 \tabularnewline
0.91 & 190.113253032745 & 7.33623103798962 \tabularnewline
0.92 & 192.998731750244 & 6.57493237905204 \tabularnewline
0.93 & 195.721391016516 & 5.74095445273769 \tabularnewline
0.94 & 198.323892586764 & 5.04411477931037 \tabularnewline
0.95 & 200.949083428914 & 4.67259326117281 \tabularnewline
0.96 & 203.824508413753 & 4.67426300320113 \tabularnewline
0.97 & 207.193619114306 & 4.92714582605281 \tabularnewline
0.98 & 211.035773768969 & 4.99409802342501 \tabularnewline
0.99 & 214.463503965121 & 3.28252378337466 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210963&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]21.1640861529971[/C][C]3.09380776909767[/C][/ROW]
[ROW][C]0.02[/C][C]24.1696488652074[/C][C]3.18878003887192[/C][/ROW]
[ROW][C]0.03[/C][C]26.6878431384497[/C][C]2.7226982547378[/C][/ROW]
[ROW][C]0.04[/C][C]28.4918525863926[/C][C]2.06919672826551[/C][/ROW]
[ROW][C]0.05[/C][C]29.7251339466983[/C][C]1.58317129120672[/C][/ROW]
[ROW][C]0.06[/C][C]30.6088166731213[/C][C]1.38601500913466[/C][/ROW]
[ROW][C]0.07[/C][C]31.3391179242488[/C][C]1.46851476695924[/C][/ROW]
[ROW][C]0.08[/C][C]32.0511151880622[/C][C]1.71938492587287[/C][/ROW]
[ROW][C]0.09[/C][C]32.8143556051487[/C][C]2.01057002289221[/C][/ROW]
[ROW][C]0.1[/C][C]33.6456949970043[/C][C]2.26337147867403[/C][/ROW]
[ROW][C]0.11[/C][C]34.5303362295478[/C][C]2.44519244354183[/C][/ROW]
[ROW][C]0.12[/C][C]35.4408044283067[/C][C]2.54665454306442[/C][/ROW]
[ROW][C]0.13[/C][C]36.3486284332437[/C][C]2.56880589632938[/C][/ROW]
[ROW][C]0.14[/C][C]37.2303710793751[/C][C]2.52540137485436[/C][/ROW]
[ROW][C]0.15[/C][C]38.0713021501731[/C][C]2.44633825401669[/C][/ROW]
[ROW][C]0.16[/C][C]38.8676287705019[/C][C]2.37135239832936[/C][/ROW]
[ROW][C]0.17[/C][C]39.6263545752666[/C][C]2.3369285033131[/C][/ROW]
[ROW][C]0.18[/C][C]40.3622897612244[/C][C]2.36345029133959[/C][/ROW]
[ROW][C]0.19[/C][C]41.0931869081503[/C][C]2.45045166974502[/C][/ROW]
[ROW][C]0.2[/C][C]41.8347925901445[/C][C]2.5803860064166[/C][/ROW]
[ROW][C]0.21[/C][C]42.5973581811493[/C][C]2.7276374674625[/C][/ROW]
[ROW][C]0.22[/C][C]43.3843416940958[/C][C]2.86694744970106[/C][/ROW]
[ROW][C]0.23[/C][C]44.1932253822338[/C][C]2.98042705593522[/C][/ROW]
[ROW][C]0.24[/C][C]45.0178171307518[/C][C]3.06117719037273[/C][/ROW]
[ROW][C]0.25[/C][C]45.851115527976[/C][C]3.11383996153662[/C][/ROW]
[ROW][C]0.26[/C][C]46.6877868750014[/C][C]3.15132643852524[/C][/ROW]
[ROW][C]0.27[/C][C]47.5255365855997[/C][C]3.18898873980856[/C][/ROW]
[ROW][C]0.28[/C][C]48.3651168455274[/C][C]3.23840221747131[/C][/ROW]
[ROW][C]0.29[/C][C]49.2092494926862[/C][C]3.30316472733322[/C][/ROW]
[ROW][C]0.3[/C][C]50.0611427045455[/C][C]3.37965726025228[/C][/ROW]
[ROW][C]0.31[/C][C]50.9233702234742[/C][C]3.46086502129104[/C][/ROW]
[ROW][C]0.32[/C][C]51.7976315688847[/C][C]3.54212078986744[/C][/ROW]
[ROW][C]0.33[/C][C]52.6854489990872[/C][C]3.62547106727478[/C][/ROW]
[ROW][C]0.34[/C][C]53.589400304382[/C][C]3.72051941583719[/C][/ROW]
[ROW][C]0.35[/C][C]54.514236610525[/C][C]3.84161306342034[/C][/ROW]
[ROW][C]0.36[/C][C]55.4672877790518[/C][C]4.00255361392845[/C][/ROW]
[ROW][C]0.37[/C][C]56.4578786588854[/C][C]4.21092280784286[/C][/ROW]
[ROW][C]0.38[/C][C]57.4959285371256[/C][C]4.4643045658419[/C][/ROW]
[ROW][C]0.39[/C][C]58.5903044607115[/C][C]4.751590559568[/C][/ROW]
[ROW][C]0.4[/C][C]59.7476919709881[/C][C]5.05786437504247[/C][/ROW]
[ROW][C]0.41[/C][C]60.9726509953351[/C][C]5.37217339048228[/C][/ROW]
[ROW][C]0.42[/C][C]62.2691501453731[/C][C]5.69508813108984[/C][/ROW]
[ROW][C]0.43[/C][C]63.6433203074406[/C][C]6.04447757899462[/C][/ROW]
[ROW][C]0.44[/C][C]65.1066070950109[/C][C]6.45495648472202[/C][/ROW]
[ROW][C]0.45[/C][C]66.6781280399312[/C][C]6.97166039132774[/C][/ROW]
[ROW][C]0.46[/C][C]68.3850236782629[/C][C]7.63548145218688[/C][/ROW]
[ROW][C]0.47[/C][C]70.2600129860675[/C][C]8.46626211212494[/C][/ROW]
[ROW][C]0.48[/C][C]72.336165679243[/C][C]9.4491545175723[/C][/ROW]
[ROW][C]0.49[/C][C]74.6398764259092[/C][C]10.5303102938063[/C][/ROW]
[ROW][C]0.5[/C][C]77.1838471252098[/C][C]11.6249644001678[/C][/ROW]
[ROW][C]0.51[/C][C]79.9622193702979[/C][C]12.6348006642693[/C][/ROW]
[ROW][C]0.52[/C][C]82.9496361807766[/C][C]13.4691933928408[/C][/ROW]
[ROW][C]0.53[/C][C]86.1049680172833[/C][C]14.0683206045647[/C][/ROW]
[ROW][C]0.54[/C][C]89.3789987623588[/C][C]14.4172781132138[/C][/ROW]
[ROW][C]0.55[/C][C]92.7240141226938[/C][C]14.5499567447735[/C][/ROW]
[ROW][C]0.56[/C][C]96.1024772963528[/C][C]14.5378004368812[/C][/ROW]
[ROW][C]0.57[/C][C]99.4921496924124[/C][C]14.4685492727346[/C][/ROW]
[ROW][C]0.58[/C][C]102.88612448931[/C][C]14.4158077731173[/C][/ROW]
[ROW][C]0.59[/C][C]106.287933030142[/C][C]14.4163664923977[/C][/ROW]
[ROW][C]0.6[/C][C]109.703556324788[/C][C]14.4580550879719[/C][/ROW]
[ROW][C]0.61[/C][C]113.133202179751[/C][C]14.4890381400544[/C][/ROW]
[ROW][C]0.62[/C][C]116.565696893662[/C][C]14.4391458187694[/C][/ROW]
[ROW][C]0.63[/C][C]119.977292335595[/C][C]14.2476358005253[/C][/ROW]
[ROW][C]0.64[/C][C]123.33502017111[/C][C]13.882228670881[/C][/ROW]
[ROW][C]0.65[/C][C]126.603102256208[/C][C]13.3493838315802[/C][/ROW]
[ROW][C]0.66[/C][C]129.749992605299[/C][C]12.688671337154[/C][/ROW]
[ROW][C]0.67[/C][C]132.75372318964[/C][C]11.9581499195098[/C][/ROW]
[ROW][C]0.68[/C][C]135.604239243213[/C][C]11.216284442033[/C][/ROW]
[ROW][C]0.69[/C][C]138.302819069445[/C][C]10.5095096827241[/C][/ROW]
[ROW][C]0.7[/C][C]140.859793381366[/C][C]9.86561335344588[/C][/ROW]
[ROW][C]0.71[/C][C]143.292093667559[/C][C]9.3003193130366[/C][/ROW]
[ROW][C]0.72[/C][C]145.621584761112[/C][C]8.82529783713648[/C][/ROW]
[ROW][C]0.73[/C][C]147.874074214868[/C][C]8.45321226296881[/C][/ROW]
[ROW][C]0.74[/C][C]150.078014054461[/C][C]8.19609709169262[/C][/ROW]
[ROW][C]0.75[/C][C]152.261789810558[/C][C]8.05286049108187[/C][/ROW]
[ROW][C]0.76[/C][C]154.449260038134[/C][C]7.99879046872521[/C][/ROW]
[ROW][C]0.77[/C][C]156.654473358214[/C][C]7.98346592729373[/C][/ROW]
[ROW][C]0.78[/C][C]158.877556033763[/C][C]7.94278939332787[/C][/ROW]
[ROW][C]0.79[/C][C]161.104037387469[/C][C]7.81772271268468[/C][/ROW]
[ROW][C]0.8[/C][C]163.309172399493[/C][C]7.57473375279036[/C][/ROW]
[ROW][C]0.81[/C][C]165.467352884501[/C][C]7.22255628534505[/C][/ROW]
[ROW][C]0.82[/C][C]167.564868870764[/C][C]6.81715502303889[/C][/ROW]
[ROW][C]0.83[/C][C]169.612456622598[/C][C]6.45788958176468[/C][/ROW]
[ROW][C]0.84[/C][C]171.652664898659[/C][C]6.26533360774988[/C][/ROW]
[ROW][C]0.85[/C][C]173.756854620575[/C][C]6.33666131715426[/C][/ROW]
[ROW][C]0.86[/C][C]176.00878020302[/C][C]6.68563879109823[/C][/ROW]
[ROW][C]0.87[/C][C]178.476939912424[/C][C]7.20658418809379[/C][/ROW]
[ROW][C]0.88[/C][C]181.185000859074[/C][C]7.70137754634234[/C][/ROW]
[ROW][C]0.89[/C][C]184.094414112735[/C][C]7.95714107927905[/C][/ROW]
[ROW][C]0.9[/C][C]187.110626949848[/C][C]7.83673910962336[/C][/ROW]
[ROW][C]0.91[/C][C]190.113253032745[/C][C]7.33623103798962[/C][/ROW]
[ROW][C]0.92[/C][C]192.998731750244[/C][C]6.57493237905204[/C][/ROW]
[ROW][C]0.93[/C][C]195.721391016516[/C][C]5.74095445273769[/C][/ROW]
[ROW][C]0.94[/C][C]198.323892586764[/C][C]5.04411477931037[/C][/ROW]
[ROW][C]0.95[/C][C]200.949083428914[/C][C]4.67259326117281[/C][/ROW]
[ROW][C]0.96[/C][C]203.824508413753[/C][C]4.67426300320113[/C][/ROW]
[ROW][C]0.97[/C][C]207.193619114306[/C][C]4.92714582605281[/C][/ROW]
[ROW][C]0.98[/C][C]211.035773768969[/C][C]4.99409802342501[/C][/ROW]
[ROW][C]0.99[/C][C]214.463503965121[/C][C]3.28252378337466[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210963&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210963&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
0.0121.16408615299713.09380776909767
0.0224.16964886520743.18878003887192
0.0326.68784313844972.7226982547378
0.0428.49185258639262.06919672826551
0.0529.72513394669831.58317129120672
0.0630.60881667312131.38601500913466
0.0731.33911792424881.46851476695924
0.0832.05111518806221.71938492587287
0.0932.81435560514872.01057002289221
0.133.64569499700432.26337147867403
0.1134.53033622954782.44519244354183
0.1235.44080442830672.54665454306442
0.1336.34862843324372.56880589632938
0.1437.23037107937512.52540137485436
0.1538.07130215017312.44633825401669
0.1638.86762877050192.37135239832936
0.1739.62635457526662.3369285033131
0.1840.36228976122442.36345029133959
0.1941.09318690815032.45045166974502
0.241.83479259014452.5803860064166
0.2142.59735818114932.7276374674625
0.2243.38434169409582.86694744970106
0.2344.19322538223382.98042705593522
0.2445.01781713075183.06117719037273
0.2545.8511155279763.11383996153662
0.2646.68778687500143.15132643852524
0.2747.52553658559973.18898873980856
0.2848.36511684552743.23840221747131
0.2949.20924949268623.30316472733322
0.350.06114270454553.37965726025228
0.3150.92337022347423.46086502129104
0.3251.79763156888473.54212078986744
0.3352.68544899908723.62547106727478
0.3453.5894003043823.72051941583719
0.3554.5142366105253.84161306342034
0.3655.46728777905184.00255361392845
0.3756.45787865888544.21092280784286
0.3857.49592853712564.4643045658419
0.3958.59030446071154.751590559568
0.459.74769197098815.05786437504247
0.4160.97265099533515.37217339048228
0.4262.26915014537315.69508813108984
0.4363.64332030744066.04447757899462
0.4465.10660709501096.45495648472202
0.4566.67812803993126.97166039132774
0.4668.38502367826297.63548145218688
0.4770.26001298606758.46626211212494
0.4872.3361656792439.4491545175723
0.4974.639876425909210.5303102938063
0.577.183847125209811.6249644001678
0.5179.962219370297912.6348006642693
0.5282.949636180776613.4691933928408
0.5386.104968017283314.0683206045647
0.5489.378998762358814.4172781132138
0.5592.724014122693814.5499567447735
0.5696.102477296352814.5378004368812
0.5799.492149692412414.4685492727346
0.58102.8861244893114.4158077731173
0.59106.28793303014214.4163664923977
0.6109.70355632478814.4580550879719
0.61113.13320217975114.4890381400544
0.62116.56569689366214.4391458187694
0.63119.97729233559514.2476358005253
0.64123.3350201711113.882228670881
0.65126.60310225620813.3493838315802
0.66129.74999260529912.688671337154
0.67132.7537231896411.9581499195098
0.68135.60423924321311.216284442033
0.69138.30281906944510.5095096827241
0.7140.8597933813669.86561335344588
0.71143.2920936675599.3003193130366
0.72145.6215847611128.82529783713648
0.73147.8740742148688.45321226296881
0.74150.0780140544618.19609709169262
0.75152.2617898105588.05286049108187
0.76154.4492600381347.99879046872521
0.77156.6544733582147.98346592729373
0.78158.8775560337637.94278939332787
0.79161.1040373874697.81772271268468
0.8163.3091723994937.57473375279036
0.81165.4673528845017.22255628534505
0.82167.5648688707646.81715502303889
0.83169.6124566225986.45788958176468
0.84171.6526648986596.26533360774988
0.85173.7568546205756.33666131715426
0.86176.008780203026.68563879109823
0.87178.4769399124247.20658418809379
0.88181.1850008590747.70137754634234
0.89184.0944141127357.95714107927905
0.9187.1106269498487.83673910962336
0.91190.1132530327457.33623103798962
0.92192.9987317502446.57493237905204
0.93195.7213910165165.74095445273769
0.94198.3238925867645.04411477931037
0.95200.9490834289144.67259326117281
0.96203.8245084137534.67426300320113
0.97207.1936191143064.92714582605281
0.98211.0357737689694.99409802342501
0.99214.4635039651213.28252378337466


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')