FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 19 Aug 2010 10:49:12 +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/Aug/19/t12822149214ub6776u71hy4z5.htm/, Retrieved Fri, 03 May 2024 09:20:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79268, Retrieved Fri, 03 May 2024 09:20:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsQuaglia Laura
Estimated Impact171

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] [Tijdreeks B - Stap 6] [2010-08-17 13:31:24] [af95ebf906227b9d031fe2c98e4f0d3b]
-   P     [Harrell-Davis Quantiles] [Tijdreeks B - Stap 7] [2010-08-19 10:49:12] [f9e29edf9cfe01f572cce0cb5a360ea2] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
93
92
91
89
87
86
87
89
90
90
91
93
93
87
89
92
98
92
92
87
92
98
101
102
102
90
87
92
105
90
88
83
98
109
118
118
115
107
101
111
128
115
111
105
120
132
135
142
139
127
113
130
143
139
137
134
139
157
152
153
147
132
117
123
139
134
134
128
118
144
140
151
144
135
122
124
146
146
147
148
132
161
159
173

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79268&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79268&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79268&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0184.00383372965372.28765179426258
0.0285.24789571686871.44012286019081
0.0386.15766033845740.813901802905698
0.0486.68598199265260.485860743746891
0.0586.99396653969020.430757302672253
0.0687.22695716873030.552446213747842
0.0787.46579145466750.728035980212133
0.0887.740144427940.885685672624267
0.0988.04910336963890.989530895526925
0.188.37779577963771.03234696016640
0.1188.7090798609931.02780944550177
0.1289.03022223915930.9991290232355
0.1389.335112055150.968133843465028
0.1489.62337872797580.948620343107402
0.1589.89809125356170.945178632954078
0.1690.16342015472350.954905430479297
0.1790.42306349327460.971965000056043
0.1890.67969755452860.991317265015395
0.1990.93534245476291.01231707955951
0.291.19232106062151.04101687280419
0.2191.45439280368171.09024174789248
0.2291.72764375028791.17700780148964
0.2392.02080758363151.31747241406529
0.2492.3448620763831.52158627872586
0.2592.71195000081331.78964165760859
0.2693.13385660168652.11230290911087
0.2793.62038953741842.47351780293928
0.2894.17802628927622.85223094045530
0.2994.80912065468933.2267757252177
0.395.51181939330513.57767892866935
0.3196.28067169406773.89044913109825
0.3297.1077605926074.15805708625776
0.3397.98408274515174.38049776699561
0.3498.9008721029394.56403526937369
0.3599.85060576697254.71869017221492
0.36100.8275297583624.85503285723678
0.37101.8276688903504.98180021220809
0.38102.8484048849305.10327063513243
0.39103.8877924884835.21900182305408
0.4104.9438191306895.32497109242418
0.41106.0137987901315.41347363229297
0.42107.0940366642915.47751863437495
0.43108.1798264539325.5104916533078
0.44109.2657658263475.509514496387
0.45110.3463130734305.47516005297992
0.46111.4164677532625.41252913180515
0.47112.4724424539725.32978343036336
0.48113.5121995334815.23847174180069
0.49114.5357514343785.150841276003
0.5115.5451611575885.07866581614721
0.51116.5442259230915.0312554711588
0.52117.5378767175705.01402053202743
0.53118.5313730275865.02660971954129
0.54119.5294083100675.06276077887959
0.55120.5352606241125.11242739196638
0.56121.5501195700905.16138508421423
0.57122.5726947146775.19508024436163
0.58123.5991665812585.19952723204266
0.59124.6234878529285.16401868075968
0.6125.6379902757735.08201924010784
0.61126.6342111698404.95186340890656
0.62127.6038279595634.77702850339717
0.63128.5395805828414.56575483447756
0.64129.4360673684744.32901965649947
0.65130.2903162958124.08127223029794
0.66131.1020582720413.83706167717889
0.67131.8736625547763.61042444068065
0.68132.6097383589653.41271526263021
0.69133.3164605076143.25113076352773
0.7134.0007340804313.12759826918270
0.71134.6693587108583.03859281872973
0.72135.3283673890602.97694166887831
0.73135.9826797948472.93349845225947
0.74136.6361223926242.90064785897493
0.75137.2917453866982.87422769802784
0.76137.9522514760972.85402894513071
0.77138.6202946254612.84207739133902
0.78139.2984475437282.84034018698172
0.79139.9887771273632.84686798267008
0.8140.6921649383232.85504948108217
0.81141.4076887509692.85391916730686
0.82142.1324632820312.83235751836948
0.83142.8622768083412.78314622156707
0.84143.5931560940782.70689354762727
0.85144.3236855476072.61461580674004
0.86145.0575661421812.5279624879196
0.87145.8056290044032.47551782272983
0.88146.5864760340872.48638913793299
0.89147.4252784147052.57745695521713
0.9148.3510277633152.74406519376642
0.91149.3932904358662.96225267139494
0.92150.5795450047813.2029533483606
0.93151.9335973619033.44157088334181
0.94153.4774647087313.64928238113712
0.95155.2498941193983.78584071385985
0.96157.3722430803843.87373688475055
0.97160.1645755785264.2645828896435
0.98164.1034612261865.85093764654438
0.99169.0670696438818.97215836870547

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 84.0038337296537 & 2.28765179426258 \tabularnewline
0.02 & 85.2478957168687 & 1.44012286019081 \tabularnewline
0.03 & 86.1576603384574 & 0.813901802905698 \tabularnewline
0.04 & 86.6859819926526 & 0.485860743746891 \tabularnewline
0.05 & 86.9939665396902 & 0.430757302672253 \tabularnewline
0.06 & 87.2269571687303 & 0.552446213747842 \tabularnewline
0.07 & 87.4657914546675 & 0.728035980212133 \tabularnewline
0.08 & 87.74014442794 & 0.885685672624267 \tabularnewline
0.09 & 88.0491033696389 & 0.989530895526925 \tabularnewline
0.1 & 88.3777957796377 & 1.03234696016640 \tabularnewline
0.11 & 88.709079860993 & 1.02780944550177 \tabularnewline
0.12 & 89.0302222391593 & 0.9991290232355 \tabularnewline
0.13 & 89.33511205515 & 0.968133843465028 \tabularnewline
0.14 & 89.6233787279758 & 0.948620343107402 \tabularnewline
0.15 & 89.8980912535617 & 0.945178632954078 \tabularnewline
0.16 & 90.1634201547235 & 0.954905430479297 \tabularnewline
0.17 & 90.4230634932746 & 0.971965000056043 \tabularnewline
0.18 & 90.6796975545286 & 0.991317265015395 \tabularnewline
0.19 & 90.9353424547629 & 1.01231707955951 \tabularnewline
0.2 & 91.1923210606215 & 1.04101687280419 \tabularnewline
0.21 & 91.4543928036817 & 1.09024174789248 \tabularnewline
0.22 & 91.7276437502879 & 1.17700780148964 \tabularnewline
0.23 & 92.0208075836315 & 1.31747241406529 \tabularnewline
0.24 & 92.344862076383 & 1.52158627872586 \tabularnewline
0.25 & 92.7119500008133 & 1.78964165760859 \tabularnewline
0.26 & 93.1338566016865 & 2.11230290911087 \tabularnewline
0.27 & 93.6203895374184 & 2.47351780293928 \tabularnewline
0.28 & 94.1780262892762 & 2.85223094045530 \tabularnewline
0.29 & 94.8091206546893 & 3.2267757252177 \tabularnewline
0.3 & 95.5118193933051 & 3.57767892866935 \tabularnewline
0.31 & 96.2806716940677 & 3.89044913109825 \tabularnewline
0.32 & 97.107760592607 & 4.15805708625776 \tabularnewline
0.33 & 97.9840827451517 & 4.38049776699561 \tabularnewline
0.34 & 98.900872102939 & 4.56403526937369 \tabularnewline
0.35 & 99.8506057669725 & 4.71869017221492 \tabularnewline
0.36 & 100.827529758362 & 4.85503285723678 \tabularnewline
0.37 & 101.827668890350 & 4.98180021220809 \tabularnewline
0.38 & 102.848404884930 & 5.10327063513243 \tabularnewline
0.39 & 103.887792488483 & 5.21900182305408 \tabularnewline
0.4 & 104.943819130689 & 5.32497109242418 \tabularnewline
0.41 & 106.013798790131 & 5.41347363229297 \tabularnewline
0.42 & 107.094036664291 & 5.47751863437495 \tabularnewline
0.43 & 108.179826453932 & 5.5104916533078 \tabularnewline
0.44 & 109.265765826347 & 5.509514496387 \tabularnewline
0.45 & 110.346313073430 & 5.47516005297992 \tabularnewline
0.46 & 111.416467753262 & 5.41252913180515 \tabularnewline
0.47 & 112.472442453972 & 5.32978343036336 \tabularnewline
0.48 & 113.512199533481 & 5.23847174180069 \tabularnewline
0.49 & 114.535751434378 & 5.150841276003 \tabularnewline
0.5 & 115.545161157588 & 5.07866581614721 \tabularnewline
0.51 & 116.544225923091 & 5.0312554711588 \tabularnewline
0.52 & 117.537876717570 & 5.01402053202743 \tabularnewline
0.53 & 118.531373027586 & 5.02660971954129 \tabularnewline
0.54 & 119.529408310067 & 5.06276077887959 \tabularnewline
0.55 & 120.535260624112 & 5.11242739196638 \tabularnewline
0.56 & 121.550119570090 & 5.16138508421423 \tabularnewline
0.57 & 122.572694714677 & 5.19508024436163 \tabularnewline
0.58 & 123.599166581258 & 5.19952723204266 \tabularnewline
0.59 & 124.623487852928 & 5.16401868075968 \tabularnewline
0.6 & 125.637990275773 & 5.08201924010784 \tabularnewline
0.61 & 126.634211169840 & 4.95186340890656 \tabularnewline
0.62 & 127.603827959563 & 4.77702850339717 \tabularnewline
0.63 & 128.539580582841 & 4.56575483447756 \tabularnewline
0.64 & 129.436067368474 & 4.32901965649947 \tabularnewline
0.65 & 130.290316295812 & 4.08127223029794 \tabularnewline
0.66 & 131.102058272041 & 3.83706167717889 \tabularnewline
0.67 & 131.873662554776 & 3.61042444068065 \tabularnewline
0.68 & 132.609738358965 & 3.41271526263021 \tabularnewline
0.69 & 133.316460507614 & 3.25113076352773 \tabularnewline
0.7 & 134.000734080431 & 3.12759826918270 \tabularnewline
0.71 & 134.669358710858 & 3.03859281872973 \tabularnewline
0.72 & 135.328367389060 & 2.97694166887831 \tabularnewline
0.73 & 135.982679794847 & 2.93349845225947 \tabularnewline
0.74 & 136.636122392624 & 2.90064785897493 \tabularnewline
0.75 & 137.291745386698 & 2.87422769802784 \tabularnewline
0.76 & 137.952251476097 & 2.85402894513071 \tabularnewline
0.77 & 138.620294625461 & 2.84207739133902 \tabularnewline
0.78 & 139.298447543728 & 2.84034018698172 \tabularnewline
0.79 & 139.988777127363 & 2.84686798267008 \tabularnewline
0.8 & 140.692164938323 & 2.85504948108217 \tabularnewline
0.81 & 141.407688750969 & 2.85391916730686 \tabularnewline
0.82 & 142.132463282031 & 2.83235751836948 \tabularnewline
0.83 & 142.862276808341 & 2.78314622156707 \tabularnewline
0.84 & 143.593156094078 & 2.70689354762727 \tabularnewline
0.85 & 144.323685547607 & 2.61461580674004 \tabularnewline
0.86 & 145.057566142181 & 2.5279624879196 \tabularnewline
0.87 & 145.805629004403 & 2.47551782272983 \tabularnewline
0.88 & 146.586476034087 & 2.48638913793299 \tabularnewline
0.89 & 147.425278414705 & 2.57745695521713 \tabularnewline
0.9 & 148.351027763315 & 2.74406519376642 \tabularnewline
0.91 & 149.393290435866 & 2.96225267139494 \tabularnewline
0.92 & 150.579545004781 & 3.2029533483606 \tabularnewline
0.93 & 151.933597361903 & 3.44157088334181 \tabularnewline
0.94 & 153.477464708731 & 3.64928238113712 \tabularnewline
0.95 & 155.249894119398 & 3.78584071385985 \tabularnewline
0.96 & 157.372243080384 & 3.87373688475055 \tabularnewline
0.97 & 160.164575578526 & 4.2645828896435 \tabularnewline
0.98 & 164.103461226186 & 5.85093764654438 \tabularnewline
0.99 & 169.067069643881 & 8.97215836870547 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79268&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]84.0038337296537[/C][C]2.28765179426258[/C][/ROW]
[ROW][C]0.02[/C][C]85.2478957168687[/C][C]1.44012286019081[/C][/ROW]
[ROW][C]0.03[/C][C]86.1576603384574[/C][C]0.813901802905698[/C][/ROW]
[ROW][C]0.04[/C][C]86.6859819926526[/C][C]0.485860743746891[/C][/ROW]
[ROW][C]0.05[/C][C]86.9939665396902[/C][C]0.430757302672253[/C][/ROW]
[ROW][C]0.06[/C][C]87.2269571687303[/C][C]0.552446213747842[/C][/ROW]
[ROW][C]0.07[/C][C]87.4657914546675[/C][C]0.728035980212133[/C][/ROW]
[ROW][C]0.08[/C][C]87.74014442794[/C][C]0.885685672624267[/C][/ROW]
[ROW][C]0.09[/C][C]88.0491033696389[/C][C]0.989530895526925[/C][/ROW]
[ROW][C]0.1[/C][C]88.3777957796377[/C][C]1.03234696016640[/C][/ROW]
[ROW][C]0.11[/C][C]88.709079860993[/C][C]1.02780944550177[/C][/ROW]
[ROW][C]0.12[/C][C]89.0302222391593[/C][C]0.9991290232355[/C][/ROW]
[ROW][C]0.13[/C][C]89.33511205515[/C][C]0.968133843465028[/C][/ROW]
[ROW][C]0.14[/C][C]89.6233787279758[/C][C]0.948620343107402[/C][/ROW]
[ROW][C]0.15[/C][C]89.8980912535617[/C][C]0.945178632954078[/C][/ROW]
[ROW][C]0.16[/C][C]90.1634201547235[/C][C]0.954905430479297[/C][/ROW]
[ROW][C]0.17[/C][C]90.4230634932746[/C][C]0.971965000056043[/C][/ROW]
[ROW][C]0.18[/C][C]90.6796975545286[/C][C]0.991317265015395[/C][/ROW]
[ROW][C]0.19[/C][C]90.9353424547629[/C][C]1.01231707955951[/C][/ROW]
[ROW][C]0.2[/C][C]91.1923210606215[/C][C]1.04101687280419[/C][/ROW]
[ROW][C]0.21[/C][C]91.4543928036817[/C][C]1.09024174789248[/C][/ROW]
[ROW][C]0.22[/C][C]91.7276437502879[/C][C]1.17700780148964[/C][/ROW]
[ROW][C]0.23[/C][C]92.0208075836315[/C][C]1.31747241406529[/C][/ROW]
[ROW][C]0.24[/C][C]92.344862076383[/C][C]1.52158627872586[/C][/ROW]
[ROW][C]0.25[/C][C]92.7119500008133[/C][C]1.78964165760859[/C][/ROW]
[ROW][C]0.26[/C][C]93.1338566016865[/C][C]2.11230290911087[/C][/ROW]
[ROW][C]0.27[/C][C]93.6203895374184[/C][C]2.47351780293928[/C][/ROW]
[ROW][C]0.28[/C][C]94.1780262892762[/C][C]2.85223094045530[/C][/ROW]
[ROW][C]0.29[/C][C]94.8091206546893[/C][C]3.2267757252177[/C][/ROW]
[ROW][C]0.3[/C][C]95.5118193933051[/C][C]3.57767892866935[/C][/ROW]
[ROW][C]0.31[/C][C]96.2806716940677[/C][C]3.89044913109825[/C][/ROW]
[ROW][C]0.32[/C][C]97.107760592607[/C][C]4.15805708625776[/C][/ROW]
[ROW][C]0.33[/C][C]97.9840827451517[/C][C]4.38049776699561[/C][/ROW]
[ROW][C]0.34[/C][C]98.900872102939[/C][C]4.56403526937369[/C][/ROW]
[ROW][C]0.35[/C][C]99.8506057669725[/C][C]4.71869017221492[/C][/ROW]
[ROW][C]0.36[/C][C]100.827529758362[/C][C]4.85503285723678[/C][/ROW]
[ROW][C]0.37[/C][C]101.827668890350[/C][C]4.98180021220809[/C][/ROW]
[ROW][C]0.38[/C][C]102.848404884930[/C][C]5.10327063513243[/C][/ROW]
[ROW][C]0.39[/C][C]103.887792488483[/C][C]5.21900182305408[/C][/ROW]
[ROW][C]0.4[/C][C]104.943819130689[/C][C]5.32497109242418[/C][/ROW]
[ROW][C]0.41[/C][C]106.013798790131[/C][C]5.41347363229297[/C][/ROW]
[ROW][C]0.42[/C][C]107.094036664291[/C][C]5.47751863437495[/C][/ROW]
[ROW][C]0.43[/C][C]108.179826453932[/C][C]5.5104916533078[/C][/ROW]
[ROW][C]0.44[/C][C]109.265765826347[/C][C]5.509514496387[/C][/ROW]
[ROW][C]0.45[/C][C]110.346313073430[/C][C]5.47516005297992[/C][/ROW]
[ROW][C]0.46[/C][C]111.416467753262[/C][C]5.41252913180515[/C][/ROW]
[ROW][C]0.47[/C][C]112.472442453972[/C][C]5.32978343036336[/C][/ROW]
[ROW][C]0.48[/C][C]113.512199533481[/C][C]5.23847174180069[/C][/ROW]
[ROW][C]0.49[/C][C]114.535751434378[/C][C]5.150841276003[/C][/ROW]
[ROW][C]0.5[/C][C]115.545161157588[/C][C]5.07866581614721[/C][/ROW]
[ROW][C]0.51[/C][C]116.544225923091[/C][C]5.0312554711588[/C][/ROW]
[ROW][C]0.52[/C][C]117.537876717570[/C][C]5.01402053202743[/C][/ROW]
[ROW][C]0.53[/C][C]118.531373027586[/C][C]5.02660971954129[/C][/ROW]
[ROW][C]0.54[/C][C]119.529408310067[/C][C]5.06276077887959[/C][/ROW]
[ROW][C]0.55[/C][C]120.535260624112[/C][C]5.11242739196638[/C][/ROW]
[ROW][C]0.56[/C][C]121.550119570090[/C][C]5.16138508421423[/C][/ROW]
[ROW][C]0.57[/C][C]122.572694714677[/C][C]5.19508024436163[/C][/ROW]
[ROW][C]0.58[/C][C]123.599166581258[/C][C]5.19952723204266[/C][/ROW]
[ROW][C]0.59[/C][C]124.623487852928[/C][C]5.16401868075968[/C][/ROW]
[ROW][C]0.6[/C][C]125.637990275773[/C][C]5.08201924010784[/C][/ROW]
[ROW][C]0.61[/C][C]126.634211169840[/C][C]4.95186340890656[/C][/ROW]
[ROW][C]0.62[/C][C]127.603827959563[/C][C]4.77702850339717[/C][/ROW]
[ROW][C]0.63[/C][C]128.539580582841[/C][C]4.56575483447756[/C][/ROW]
[ROW][C]0.64[/C][C]129.436067368474[/C][C]4.32901965649947[/C][/ROW]
[ROW][C]0.65[/C][C]130.290316295812[/C][C]4.08127223029794[/C][/ROW]
[ROW][C]0.66[/C][C]131.102058272041[/C][C]3.83706167717889[/C][/ROW]
[ROW][C]0.67[/C][C]131.873662554776[/C][C]3.61042444068065[/C][/ROW]
[ROW][C]0.68[/C][C]132.609738358965[/C][C]3.41271526263021[/C][/ROW]
[ROW][C]0.69[/C][C]133.316460507614[/C][C]3.25113076352773[/C][/ROW]
[ROW][C]0.7[/C][C]134.000734080431[/C][C]3.12759826918270[/C][/ROW]
[ROW][C]0.71[/C][C]134.669358710858[/C][C]3.03859281872973[/C][/ROW]
[ROW][C]0.72[/C][C]135.328367389060[/C][C]2.97694166887831[/C][/ROW]
[ROW][C]0.73[/C][C]135.982679794847[/C][C]2.93349845225947[/C][/ROW]
[ROW][C]0.74[/C][C]136.636122392624[/C][C]2.90064785897493[/C][/ROW]
[ROW][C]0.75[/C][C]137.291745386698[/C][C]2.87422769802784[/C][/ROW]
[ROW][C]0.76[/C][C]137.952251476097[/C][C]2.85402894513071[/C][/ROW]
[ROW][C]0.77[/C][C]138.620294625461[/C][C]2.84207739133902[/C][/ROW]
[ROW][C]0.78[/C][C]139.298447543728[/C][C]2.84034018698172[/C][/ROW]
[ROW][C]0.79[/C][C]139.988777127363[/C][C]2.84686798267008[/C][/ROW]
[ROW][C]0.8[/C][C]140.692164938323[/C][C]2.85504948108217[/C][/ROW]
[ROW][C]0.81[/C][C]141.407688750969[/C][C]2.85391916730686[/C][/ROW]
[ROW][C]0.82[/C][C]142.132463282031[/C][C]2.83235751836948[/C][/ROW]
[ROW][C]0.83[/C][C]142.862276808341[/C][C]2.78314622156707[/C][/ROW]
[ROW][C]0.84[/C][C]143.593156094078[/C][C]2.70689354762727[/C][/ROW]
[ROW][C]0.85[/C][C]144.323685547607[/C][C]2.61461580674004[/C][/ROW]
[ROW][C]0.86[/C][C]145.057566142181[/C][C]2.5279624879196[/C][/ROW]
[ROW][C]0.87[/C][C]145.805629004403[/C][C]2.47551782272983[/C][/ROW]
[ROW][C]0.88[/C][C]146.586476034087[/C][C]2.48638913793299[/C][/ROW]
[ROW][C]0.89[/C][C]147.425278414705[/C][C]2.57745695521713[/C][/ROW]
[ROW][C]0.9[/C][C]148.351027763315[/C][C]2.74406519376642[/C][/ROW]
[ROW][C]0.91[/C][C]149.393290435866[/C][C]2.96225267139494[/C][/ROW]
[ROW][C]0.92[/C][C]150.579545004781[/C][C]3.2029533483606[/C][/ROW]
[ROW][C]0.93[/C][C]151.933597361903[/C][C]3.44157088334181[/C][/ROW]
[ROW][C]0.94[/C][C]153.477464708731[/C][C]3.64928238113712[/C][/ROW]
[ROW][C]0.95[/C][C]155.249894119398[/C][C]3.78584071385985[/C][/ROW]
[ROW][C]0.96[/C][C]157.372243080384[/C][C]3.87373688475055[/C][/ROW]
[ROW][C]0.97[/C][C]160.164575578526[/C][C]4.2645828896435[/C][/ROW]
[ROW][C]0.98[/C][C]164.103461226186[/C][C]5.85093764654438[/C][/ROW]
[ROW][C]0.99[/C][C]169.067069643881[/C][C]8.97215836870547[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79268&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79268&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
0.0184.00383372965372.28765179426258
0.0285.24789571686871.44012286019081
0.0386.15766033845740.813901802905698
0.0486.68598199265260.485860743746891
0.0586.99396653969020.430757302672253
0.0687.22695716873030.552446213747842
0.0787.46579145466750.728035980212133
0.0887.740144427940.885685672624267
0.0988.04910336963890.989530895526925
0.188.37779577963771.03234696016640
0.1188.7090798609931.02780944550177
0.1289.03022223915930.9991290232355
0.1389.335112055150.968133843465028
0.1489.62337872797580.948620343107402
0.1589.89809125356170.945178632954078
0.1690.16342015472350.954905430479297
0.1790.42306349327460.971965000056043
0.1890.67969755452860.991317265015395
0.1990.93534245476291.01231707955951
0.291.19232106062151.04101687280419
0.2191.45439280368171.09024174789248
0.2291.72764375028791.17700780148964
0.2392.02080758363151.31747241406529
0.2492.3448620763831.52158627872586
0.2592.71195000081331.78964165760859
0.2693.13385660168652.11230290911087
0.2793.62038953741842.47351780293928
0.2894.17802628927622.85223094045530
0.2994.80912065468933.2267757252177
0.395.51181939330513.57767892866935
0.3196.28067169406773.89044913109825
0.3297.1077605926074.15805708625776
0.3397.98408274515174.38049776699561
0.3498.9008721029394.56403526937369
0.3599.85060576697254.71869017221492
0.36100.8275297583624.85503285723678
0.37101.8276688903504.98180021220809
0.38102.8484048849305.10327063513243
0.39103.8877924884835.21900182305408
0.4104.9438191306895.32497109242418
0.41106.0137987901315.41347363229297
0.42107.0940366642915.47751863437495
0.43108.1798264539325.5104916533078
0.44109.2657658263475.509514496387
0.45110.3463130734305.47516005297992
0.46111.4164677532625.41252913180515
0.47112.4724424539725.32978343036336
0.48113.5121995334815.23847174180069
0.49114.5357514343785.150841276003
0.5115.5451611575885.07866581614721
0.51116.5442259230915.0312554711588
0.52117.5378767175705.01402053202743
0.53118.5313730275865.02660971954129
0.54119.5294083100675.06276077887959
0.55120.5352606241125.11242739196638
0.56121.5501195700905.16138508421423
0.57122.5726947146775.19508024436163
0.58123.5991665812585.19952723204266
0.59124.6234878529285.16401868075968
0.6125.6379902757735.08201924010784
0.61126.6342111698404.95186340890656
0.62127.6038279595634.77702850339717
0.63128.5395805828414.56575483447756
0.64129.4360673684744.32901965649947
0.65130.2903162958124.08127223029794
0.66131.1020582720413.83706167717889
0.67131.8736625547763.61042444068065
0.68132.6097383589653.41271526263021
0.69133.3164605076143.25113076352773
0.7134.0007340804313.12759826918270
0.71134.6693587108583.03859281872973
0.72135.3283673890602.97694166887831
0.73135.9826797948472.93349845225947
0.74136.6361223926242.90064785897493
0.75137.2917453866982.87422769802784
0.76137.9522514760972.85402894513071
0.77138.6202946254612.84207739133902
0.78139.2984475437282.84034018698172
0.79139.9887771273632.84686798267008
0.8140.6921649383232.85504948108217
0.81141.4076887509692.85391916730686
0.82142.1324632820312.83235751836948
0.83142.8622768083412.78314622156707
0.84143.5931560940782.70689354762727
0.85144.3236855476072.61461580674004
0.86145.0575661421812.5279624879196
0.87145.8056290044032.47551782272983
0.88146.5864760340872.48638913793299
0.89147.4252784147052.57745695521713
0.9148.3510277633152.74406519376642
0.91149.3932904358662.96225267139494
0.92150.5795450047813.2029533483606
0.93151.9335973619033.44157088334181
0.94153.4774647087313.64928238113712
0.95155.2498941193983.78584071385985
0.96157.3722430803843.87373688475055
0.97160.1645755785264.2645828896435
0.98164.1034612261865.85093764654438
0.99169.0670696438818.97215836870547


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')