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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 10 Dec 2007 16:29:10 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/11/t1197328596d85nqo5c5tkezgq.htm/, Retrieved Sun, 28 Apr 2024 22:03:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3078, Retrieved Sun, 28 Apr 2024 22:03:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact252

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] [] [2007-12-10 23:29:10] [3463f71ebce131edf0c83e066f45702c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
108.4
117
103.8
100.8
110.6
104.0
112.6
107.3
98.9
109.8
104.9
102.2
123.9
124.9
112.7
121.9
100.6
104.3
120.4
107.5
102.9
125.6
107.5
108.8
128.4
121.1
119.5
128.7
108.7
105.5
119.8
111.3
110.6
120.1
97.5
107.7
127.3
117.2
119.8
116.2
111.0
112.4
130.6
109.1
118.8
123.9
101.6
112.8
128.0
129.6
125.8
119.5
115.7
113.6
129.7
112.0
116.8
127.0
112.9
113.3
121.7

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3078&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3078&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3078&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0197.89624481655731.37871309747299
0.0298.5163624484321.38100349177171
0.0399.20265006272481.34559228536079
0.0499.85116604445921.27042439097417
0.05100.4250995822111.20052476746377
0.06100.9283695987431.17244822217313
0.07101.3796142708731.18679045168312
0.08101.7974318116141.22319675269035
0.09102.1949739961101.26315638488944
0.1102.5797844628181.29825797128784
0.11102.9556861016261.32888200860269
0.12103.3247984493311.35969154702106
0.13103.6888236762071.39584291917224
0.14104.0494648880901.43914501717284
0.15104.4082264877231.48747500518182
0.16104.7659640116001.53454541461869
0.17105.1225020638191.57285807604594
0.18105.4765127001411.59541428055783
0.19105.8257056734571.59764216457324
0.2106.167266636641.57887907012105
0.21106.4984117591461.54181317410712
0.22106.8169125675561.49202696054436
0.23107.1214739786671.43659825876944
0.24107.4119029309281.38280488598977
0.25107.6890639623111.33691653657248
0.26107.9546649135311.30270614009195
0.27108.2109418307761.28220853725952
0.28108.4603163713551.27483302831891
0.29108.7050867230881.27831983234036
0.3108.9471919801901.28957878106579
0.31109.1880674701861.30502599609296
0.32109.4285899148121.32124898168043
0.33109.6690990209331.33555839899236
0.34109.9094762964021.34567868152841
0.35110.1492612534911.35026944964831
0.36110.3877877655641.34887102152052
0.37110.6243272665051.34158098956015
0.38110.8582291983701.32956366810656
0.39111.0890516424011.31438160287539
0.4111.3166760318601.29818301150822
0.41111.5413994387321.28402581078375
0.42111.7639968314231.27507802925993
0.43111.9857449034291.27507519105204
0.44112.2083995988161.2872865192934
0.45112.4341220637131.31462393563864
0.46112.6653526420721.35886172387211
0.47112.9046392190901.42027237191235
0.48113.1544335465671.49710692296569
0.49113.4168755903171.58628148596781
0.5113.6935898225031.68316402462236
0.51113.9855175620151.78237705075847
0.52114.2928055524431.87824204851082
0.53114.6147635335281.96506360045998
0.54114.9498940632292.03837301758961
0.55115.2959882772792.09424098641201
0.56115.6502736464962.12994249997048
0.57116.0095955952712.14463204432628
0.58116.3706146165872.13802221512239
0.59116.7300037005232.11111066245299
0.6117.0846360040652.06567786976639
0.61117.4317577923072.00445227135928
0.62117.7691449921851.93053133252428
0.63118.0952421627981.84783069140517
0.64118.4092803106731.76095805907800
0.65118.7113658367791.67478733321469
0.66119.0025287825061.59503008409484
0.67119.2847163710841.52730800468623
0.68119.5607190729731.47695527403226
0.69119.8340215952091.44843460060027
0.7120.1085797778091.44427206929919
0.71120.3885349576421.46487928059272
0.72120.6778880187651.50797667943698
0.73120.9801641335321.56889612695425
0.74121.2981044669691.64156560932413
0.75121.6334217109791.71860424963795
0.76121.9866515992901.79270473490595
0.77122.3571224281981.85681497976182
0.78122.7430496241311.90504821321503
0.79123.1417440194281.93343690342085
0.8123.5499033721751.93981545753948
0.81123.9639406749451.924298654307
0.82124.3802945773941.88872194966449
0.83124.7956710519491.83623694782537
0.84125.2071834442131.77048702814116
0.85125.6123885611991.69446610901704
0.86126.0092524718881.61065839631295
0.87126.3961086470401.5203327951486
0.88126.7716764327771.42438983136000
0.89127.1351745363281.32416143209756
0.9127.4864904143051.22213754801746
0.91127.8262834654121.12228252911520
0.92128.1558900465541.02874642746303
0.93128.4770738764720.943405072922085
0.94128.7920373168580.86283709143778
0.95129.1043020557780.779852488251834
0.96129.4200970175430.69466419390346
0.97129.7468379906500.634543668927607
0.98130.0820985173590.654844161286625
0.99130.3917400076050.766570711110831

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 97.8962448165573 & 1.37871309747299 \tabularnewline
0.02 & 98.516362448432 & 1.38100349177171 \tabularnewline
0.03 & 99.2026500627248 & 1.34559228536079 \tabularnewline
0.04 & 99.8511660444592 & 1.27042439097417 \tabularnewline
0.05 & 100.425099582211 & 1.20052476746377 \tabularnewline
0.06 & 100.928369598743 & 1.17244822217313 \tabularnewline
0.07 & 101.379614270873 & 1.18679045168312 \tabularnewline
0.08 & 101.797431811614 & 1.22319675269035 \tabularnewline
0.09 & 102.194973996110 & 1.26315638488944 \tabularnewline
0.1 & 102.579784462818 & 1.29825797128784 \tabularnewline
0.11 & 102.955686101626 & 1.32888200860269 \tabularnewline
0.12 & 103.324798449331 & 1.35969154702106 \tabularnewline
0.13 & 103.688823676207 & 1.39584291917224 \tabularnewline
0.14 & 104.049464888090 & 1.43914501717284 \tabularnewline
0.15 & 104.408226487723 & 1.48747500518182 \tabularnewline
0.16 & 104.765964011600 & 1.53454541461869 \tabularnewline
0.17 & 105.122502063819 & 1.57285807604594 \tabularnewline
0.18 & 105.476512700141 & 1.59541428055783 \tabularnewline
0.19 & 105.825705673457 & 1.59764216457324 \tabularnewline
0.2 & 106.16726663664 & 1.57887907012105 \tabularnewline
0.21 & 106.498411759146 & 1.54181317410712 \tabularnewline
0.22 & 106.816912567556 & 1.49202696054436 \tabularnewline
0.23 & 107.121473978667 & 1.43659825876944 \tabularnewline
0.24 & 107.411902930928 & 1.38280488598977 \tabularnewline
0.25 & 107.689063962311 & 1.33691653657248 \tabularnewline
0.26 & 107.954664913531 & 1.30270614009195 \tabularnewline
0.27 & 108.210941830776 & 1.28220853725952 \tabularnewline
0.28 & 108.460316371355 & 1.27483302831891 \tabularnewline
0.29 & 108.705086723088 & 1.27831983234036 \tabularnewline
0.3 & 108.947191980190 & 1.28957878106579 \tabularnewline
0.31 & 109.188067470186 & 1.30502599609296 \tabularnewline
0.32 & 109.428589914812 & 1.32124898168043 \tabularnewline
0.33 & 109.669099020933 & 1.33555839899236 \tabularnewline
0.34 & 109.909476296402 & 1.34567868152841 \tabularnewline
0.35 & 110.149261253491 & 1.35026944964831 \tabularnewline
0.36 & 110.387787765564 & 1.34887102152052 \tabularnewline
0.37 & 110.624327266505 & 1.34158098956015 \tabularnewline
0.38 & 110.858229198370 & 1.32956366810656 \tabularnewline
0.39 & 111.089051642401 & 1.31438160287539 \tabularnewline
0.4 & 111.316676031860 & 1.29818301150822 \tabularnewline
0.41 & 111.541399438732 & 1.28402581078375 \tabularnewline
0.42 & 111.763996831423 & 1.27507802925993 \tabularnewline
0.43 & 111.985744903429 & 1.27507519105204 \tabularnewline
0.44 & 112.208399598816 & 1.2872865192934 \tabularnewline
0.45 & 112.434122063713 & 1.31462393563864 \tabularnewline
0.46 & 112.665352642072 & 1.35886172387211 \tabularnewline
0.47 & 112.904639219090 & 1.42027237191235 \tabularnewline
0.48 & 113.154433546567 & 1.49710692296569 \tabularnewline
0.49 & 113.416875590317 & 1.58628148596781 \tabularnewline
0.5 & 113.693589822503 & 1.68316402462236 \tabularnewline
0.51 & 113.985517562015 & 1.78237705075847 \tabularnewline
0.52 & 114.292805552443 & 1.87824204851082 \tabularnewline
0.53 & 114.614763533528 & 1.96506360045998 \tabularnewline
0.54 & 114.949894063229 & 2.03837301758961 \tabularnewline
0.55 & 115.295988277279 & 2.09424098641201 \tabularnewline
0.56 & 115.650273646496 & 2.12994249997048 \tabularnewline
0.57 & 116.009595595271 & 2.14463204432628 \tabularnewline
0.58 & 116.370614616587 & 2.13802221512239 \tabularnewline
0.59 & 116.730003700523 & 2.11111066245299 \tabularnewline
0.6 & 117.084636004065 & 2.06567786976639 \tabularnewline
0.61 & 117.431757792307 & 2.00445227135928 \tabularnewline
0.62 & 117.769144992185 & 1.93053133252428 \tabularnewline
0.63 & 118.095242162798 & 1.84783069140517 \tabularnewline
0.64 & 118.409280310673 & 1.76095805907800 \tabularnewline
0.65 & 118.711365836779 & 1.67478733321469 \tabularnewline
0.66 & 119.002528782506 & 1.59503008409484 \tabularnewline
0.67 & 119.284716371084 & 1.52730800468623 \tabularnewline
0.68 & 119.560719072973 & 1.47695527403226 \tabularnewline
0.69 & 119.834021595209 & 1.44843460060027 \tabularnewline
0.7 & 120.108579777809 & 1.44427206929919 \tabularnewline
0.71 & 120.388534957642 & 1.46487928059272 \tabularnewline
0.72 & 120.677888018765 & 1.50797667943698 \tabularnewline
0.73 & 120.980164133532 & 1.56889612695425 \tabularnewline
0.74 & 121.298104466969 & 1.64156560932413 \tabularnewline
0.75 & 121.633421710979 & 1.71860424963795 \tabularnewline
0.76 & 121.986651599290 & 1.79270473490595 \tabularnewline
0.77 & 122.357122428198 & 1.85681497976182 \tabularnewline
0.78 & 122.743049624131 & 1.90504821321503 \tabularnewline
0.79 & 123.141744019428 & 1.93343690342085 \tabularnewline
0.8 & 123.549903372175 & 1.93981545753948 \tabularnewline
0.81 & 123.963940674945 & 1.924298654307 \tabularnewline
0.82 & 124.380294577394 & 1.88872194966449 \tabularnewline
0.83 & 124.795671051949 & 1.83623694782537 \tabularnewline
0.84 & 125.207183444213 & 1.77048702814116 \tabularnewline
0.85 & 125.612388561199 & 1.69446610901704 \tabularnewline
0.86 & 126.009252471888 & 1.61065839631295 \tabularnewline
0.87 & 126.396108647040 & 1.5203327951486 \tabularnewline
0.88 & 126.771676432777 & 1.42438983136000 \tabularnewline
0.89 & 127.135174536328 & 1.32416143209756 \tabularnewline
0.9 & 127.486490414305 & 1.22213754801746 \tabularnewline
0.91 & 127.826283465412 & 1.12228252911520 \tabularnewline
0.92 & 128.155890046554 & 1.02874642746303 \tabularnewline
0.93 & 128.477073876472 & 0.943405072922085 \tabularnewline
0.94 & 128.792037316858 & 0.86283709143778 \tabularnewline
0.95 & 129.104302055778 & 0.779852488251834 \tabularnewline
0.96 & 129.420097017543 & 0.69466419390346 \tabularnewline
0.97 & 129.746837990650 & 0.634543668927607 \tabularnewline
0.98 & 130.082098517359 & 0.654844161286625 \tabularnewline
0.99 & 130.391740007605 & 0.766570711110831 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3078&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]97.8962448165573[/C][C]1.37871309747299[/C][/ROW]
[ROW][C]0.02[/C][C]98.516362448432[/C][C]1.38100349177171[/C][/ROW]
[ROW][C]0.03[/C][C]99.2026500627248[/C][C]1.34559228536079[/C][/ROW]
[ROW][C]0.04[/C][C]99.8511660444592[/C][C]1.27042439097417[/C][/ROW]
[ROW][C]0.05[/C][C]100.425099582211[/C][C]1.20052476746377[/C][/ROW]
[ROW][C]0.06[/C][C]100.928369598743[/C][C]1.17244822217313[/C][/ROW]
[ROW][C]0.07[/C][C]101.379614270873[/C][C]1.18679045168312[/C][/ROW]
[ROW][C]0.08[/C][C]101.797431811614[/C][C]1.22319675269035[/C][/ROW]
[ROW][C]0.09[/C][C]102.194973996110[/C][C]1.26315638488944[/C][/ROW]
[ROW][C]0.1[/C][C]102.579784462818[/C][C]1.29825797128784[/C][/ROW]
[ROW][C]0.11[/C][C]102.955686101626[/C][C]1.32888200860269[/C][/ROW]
[ROW][C]0.12[/C][C]103.324798449331[/C][C]1.35969154702106[/C][/ROW]
[ROW][C]0.13[/C][C]103.688823676207[/C][C]1.39584291917224[/C][/ROW]
[ROW][C]0.14[/C][C]104.049464888090[/C][C]1.43914501717284[/C][/ROW]
[ROW][C]0.15[/C][C]104.408226487723[/C][C]1.48747500518182[/C][/ROW]
[ROW][C]0.16[/C][C]104.765964011600[/C][C]1.53454541461869[/C][/ROW]
[ROW][C]0.17[/C][C]105.122502063819[/C][C]1.57285807604594[/C][/ROW]
[ROW][C]0.18[/C][C]105.476512700141[/C][C]1.59541428055783[/C][/ROW]
[ROW][C]0.19[/C][C]105.825705673457[/C][C]1.59764216457324[/C][/ROW]
[ROW][C]0.2[/C][C]106.16726663664[/C][C]1.57887907012105[/C][/ROW]
[ROW][C]0.21[/C][C]106.498411759146[/C][C]1.54181317410712[/C][/ROW]
[ROW][C]0.22[/C][C]106.816912567556[/C][C]1.49202696054436[/C][/ROW]
[ROW][C]0.23[/C][C]107.121473978667[/C][C]1.43659825876944[/C][/ROW]
[ROW][C]0.24[/C][C]107.411902930928[/C][C]1.38280488598977[/C][/ROW]
[ROW][C]0.25[/C][C]107.689063962311[/C][C]1.33691653657248[/C][/ROW]
[ROW][C]0.26[/C][C]107.954664913531[/C][C]1.30270614009195[/C][/ROW]
[ROW][C]0.27[/C][C]108.210941830776[/C][C]1.28220853725952[/C][/ROW]
[ROW][C]0.28[/C][C]108.460316371355[/C][C]1.27483302831891[/C][/ROW]
[ROW][C]0.29[/C][C]108.705086723088[/C][C]1.27831983234036[/C][/ROW]
[ROW][C]0.3[/C][C]108.947191980190[/C][C]1.28957878106579[/C][/ROW]
[ROW][C]0.31[/C][C]109.188067470186[/C][C]1.30502599609296[/C][/ROW]
[ROW][C]0.32[/C][C]109.428589914812[/C][C]1.32124898168043[/C][/ROW]
[ROW][C]0.33[/C][C]109.669099020933[/C][C]1.33555839899236[/C][/ROW]
[ROW][C]0.34[/C][C]109.909476296402[/C][C]1.34567868152841[/C][/ROW]
[ROW][C]0.35[/C][C]110.149261253491[/C][C]1.35026944964831[/C][/ROW]
[ROW][C]0.36[/C][C]110.387787765564[/C][C]1.34887102152052[/C][/ROW]
[ROW][C]0.37[/C][C]110.624327266505[/C][C]1.34158098956015[/C][/ROW]
[ROW][C]0.38[/C][C]110.858229198370[/C][C]1.32956366810656[/C][/ROW]
[ROW][C]0.39[/C][C]111.089051642401[/C][C]1.31438160287539[/C][/ROW]
[ROW][C]0.4[/C][C]111.316676031860[/C][C]1.29818301150822[/C][/ROW]
[ROW][C]0.41[/C][C]111.541399438732[/C][C]1.28402581078375[/C][/ROW]
[ROW][C]0.42[/C][C]111.763996831423[/C][C]1.27507802925993[/C][/ROW]
[ROW][C]0.43[/C][C]111.985744903429[/C][C]1.27507519105204[/C][/ROW]
[ROW][C]0.44[/C][C]112.208399598816[/C][C]1.2872865192934[/C][/ROW]
[ROW][C]0.45[/C][C]112.434122063713[/C][C]1.31462393563864[/C][/ROW]
[ROW][C]0.46[/C][C]112.665352642072[/C][C]1.35886172387211[/C][/ROW]
[ROW][C]0.47[/C][C]112.904639219090[/C][C]1.42027237191235[/C][/ROW]
[ROW][C]0.48[/C][C]113.154433546567[/C][C]1.49710692296569[/C][/ROW]
[ROW][C]0.49[/C][C]113.416875590317[/C][C]1.58628148596781[/C][/ROW]
[ROW][C]0.5[/C][C]113.693589822503[/C][C]1.68316402462236[/C][/ROW]
[ROW][C]0.51[/C][C]113.985517562015[/C][C]1.78237705075847[/C][/ROW]
[ROW][C]0.52[/C][C]114.292805552443[/C][C]1.87824204851082[/C][/ROW]
[ROW][C]0.53[/C][C]114.614763533528[/C][C]1.96506360045998[/C][/ROW]
[ROW][C]0.54[/C][C]114.949894063229[/C][C]2.03837301758961[/C][/ROW]
[ROW][C]0.55[/C][C]115.295988277279[/C][C]2.09424098641201[/C][/ROW]
[ROW][C]0.56[/C][C]115.650273646496[/C][C]2.12994249997048[/C][/ROW]
[ROW][C]0.57[/C][C]116.009595595271[/C][C]2.14463204432628[/C][/ROW]
[ROW][C]0.58[/C][C]116.370614616587[/C][C]2.13802221512239[/C][/ROW]
[ROW][C]0.59[/C][C]116.730003700523[/C][C]2.11111066245299[/C][/ROW]
[ROW][C]0.6[/C][C]117.084636004065[/C][C]2.06567786976639[/C][/ROW]
[ROW][C]0.61[/C][C]117.431757792307[/C][C]2.00445227135928[/C][/ROW]
[ROW][C]0.62[/C][C]117.769144992185[/C][C]1.93053133252428[/C][/ROW]
[ROW][C]0.63[/C][C]118.095242162798[/C][C]1.84783069140517[/C][/ROW]
[ROW][C]0.64[/C][C]118.409280310673[/C][C]1.76095805907800[/C][/ROW]
[ROW][C]0.65[/C][C]118.711365836779[/C][C]1.67478733321469[/C][/ROW]
[ROW][C]0.66[/C][C]119.002528782506[/C][C]1.59503008409484[/C][/ROW]
[ROW][C]0.67[/C][C]119.284716371084[/C][C]1.52730800468623[/C][/ROW]
[ROW][C]0.68[/C][C]119.560719072973[/C][C]1.47695527403226[/C][/ROW]
[ROW][C]0.69[/C][C]119.834021595209[/C][C]1.44843460060027[/C][/ROW]
[ROW][C]0.7[/C][C]120.108579777809[/C][C]1.44427206929919[/C][/ROW]
[ROW][C]0.71[/C][C]120.388534957642[/C][C]1.46487928059272[/C][/ROW]
[ROW][C]0.72[/C][C]120.677888018765[/C][C]1.50797667943698[/C][/ROW]
[ROW][C]0.73[/C][C]120.980164133532[/C][C]1.56889612695425[/C][/ROW]
[ROW][C]0.74[/C][C]121.298104466969[/C][C]1.64156560932413[/C][/ROW]
[ROW][C]0.75[/C][C]121.633421710979[/C][C]1.71860424963795[/C][/ROW]
[ROW][C]0.76[/C][C]121.986651599290[/C][C]1.79270473490595[/C][/ROW]
[ROW][C]0.77[/C][C]122.357122428198[/C][C]1.85681497976182[/C][/ROW]
[ROW][C]0.78[/C][C]122.743049624131[/C][C]1.90504821321503[/C][/ROW]
[ROW][C]0.79[/C][C]123.141744019428[/C][C]1.93343690342085[/C][/ROW]
[ROW][C]0.8[/C][C]123.549903372175[/C][C]1.93981545753948[/C][/ROW]
[ROW][C]0.81[/C][C]123.963940674945[/C][C]1.924298654307[/C][/ROW]
[ROW][C]0.82[/C][C]124.380294577394[/C][C]1.88872194966449[/C][/ROW]
[ROW][C]0.83[/C][C]124.795671051949[/C][C]1.83623694782537[/C][/ROW]
[ROW][C]0.84[/C][C]125.207183444213[/C][C]1.77048702814116[/C][/ROW]
[ROW][C]0.85[/C][C]125.612388561199[/C][C]1.69446610901704[/C][/ROW]
[ROW][C]0.86[/C][C]126.009252471888[/C][C]1.61065839631295[/C][/ROW]
[ROW][C]0.87[/C][C]126.396108647040[/C][C]1.5203327951486[/C][/ROW]
[ROW][C]0.88[/C][C]126.771676432777[/C][C]1.42438983136000[/C][/ROW]
[ROW][C]0.89[/C][C]127.135174536328[/C][C]1.32416143209756[/C][/ROW]
[ROW][C]0.9[/C][C]127.486490414305[/C][C]1.22213754801746[/C][/ROW]
[ROW][C]0.91[/C][C]127.826283465412[/C][C]1.12228252911520[/C][/ROW]
[ROW][C]0.92[/C][C]128.155890046554[/C][C]1.02874642746303[/C][/ROW]
[ROW][C]0.93[/C][C]128.477073876472[/C][C]0.943405072922085[/C][/ROW]
[ROW][C]0.94[/C][C]128.792037316858[/C][C]0.86283709143778[/C][/ROW]
[ROW][C]0.95[/C][C]129.104302055778[/C][C]0.779852488251834[/C][/ROW]
[ROW][C]0.96[/C][C]129.420097017543[/C][C]0.69466419390346[/C][/ROW]
[ROW][C]0.97[/C][C]129.746837990650[/C][C]0.634543668927607[/C][/ROW]
[ROW][C]0.98[/C][C]130.082098517359[/C][C]0.654844161286625[/C][/ROW]
[ROW][C]0.99[/C][C]130.391740007605[/C][C]0.766570711110831[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3078&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3078&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
0.0197.89624481655731.37871309747299
0.0298.5163624484321.38100349177171
0.0399.20265006272481.34559228536079
0.0499.85116604445921.27042439097417
0.05100.4250995822111.20052476746377
0.06100.9283695987431.17244822217313
0.07101.3796142708731.18679045168312
0.08101.7974318116141.22319675269035
0.09102.1949739961101.26315638488944
0.1102.5797844628181.29825797128784
0.11102.9556861016261.32888200860269
0.12103.3247984493311.35969154702106
0.13103.6888236762071.39584291917224
0.14104.0494648880901.43914501717284
0.15104.4082264877231.48747500518182
0.16104.7659640116001.53454541461869
0.17105.1225020638191.57285807604594
0.18105.4765127001411.59541428055783
0.19105.8257056734571.59764216457324
0.2106.167266636641.57887907012105
0.21106.4984117591461.54181317410712
0.22106.8169125675561.49202696054436
0.23107.1214739786671.43659825876944
0.24107.4119029309281.38280488598977
0.25107.6890639623111.33691653657248
0.26107.9546649135311.30270614009195
0.27108.2109418307761.28220853725952
0.28108.4603163713551.27483302831891
0.29108.7050867230881.27831983234036
0.3108.9471919801901.28957878106579
0.31109.1880674701861.30502599609296
0.32109.4285899148121.32124898168043
0.33109.6690990209331.33555839899236
0.34109.9094762964021.34567868152841
0.35110.1492612534911.35026944964831
0.36110.3877877655641.34887102152052
0.37110.6243272665051.34158098956015
0.38110.8582291983701.32956366810656
0.39111.0890516424011.31438160287539
0.4111.3166760318601.29818301150822
0.41111.5413994387321.28402581078375
0.42111.7639968314231.27507802925993
0.43111.9857449034291.27507519105204
0.44112.2083995988161.2872865192934
0.45112.4341220637131.31462393563864
0.46112.6653526420721.35886172387211
0.47112.9046392190901.42027237191235
0.48113.1544335465671.49710692296569
0.49113.4168755903171.58628148596781
0.5113.6935898225031.68316402462236
0.51113.9855175620151.78237705075847
0.52114.2928055524431.87824204851082
0.53114.6147635335281.96506360045998
0.54114.9498940632292.03837301758961
0.55115.2959882772792.09424098641201
0.56115.6502736464962.12994249997048
0.57116.0095955952712.14463204432628
0.58116.3706146165872.13802221512239
0.59116.7300037005232.11111066245299
0.6117.0846360040652.06567786976639
0.61117.4317577923072.00445227135928
0.62117.7691449921851.93053133252428
0.63118.0952421627981.84783069140517
0.64118.4092803106731.76095805907800
0.65118.7113658367791.67478733321469
0.66119.0025287825061.59503008409484
0.67119.2847163710841.52730800468623
0.68119.5607190729731.47695527403226
0.69119.8340215952091.44843460060027
0.7120.1085797778091.44427206929919
0.71120.3885349576421.46487928059272
0.72120.6778880187651.50797667943698
0.73120.9801641335321.56889612695425
0.74121.2981044669691.64156560932413
0.75121.6334217109791.71860424963795
0.76121.9866515992901.79270473490595
0.77122.3571224281981.85681497976182
0.78122.7430496241311.90504821321503
0.79123.1417440194281.93343690342085
0.8123.5499033721751.93981545753948
0.81123.9639406749451.924298654307
0.82124.3802945773941.88872194966449
0.83124.7956710519491.83623694782537
0.84125.2071834442131.77048702814116
0.85125.6123885611991.69446610901704
0.86126.0092524718881.61065839631295
0.87126.3961086470401.5203327951486
0.88126.7716764327771.42438983136000
0.89127.1351745363281.32416143209756
0.9127.4864904143051.22213754801746
0.91127.8262834654121.12228252911520
0.92128.1558900465541.02874642746303
0.93128.4770738764720.943405072922085
0.94128.7920373168580.86283709143778
0.95129.1043020557780.779852488251834
0.96129.4200970175430.69466419390346
0.97129.7468379906500.634543668927607
0.98130.0820985173590.654844161286625
0.99130.3917400076050.766570711110831


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')