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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 07 Aug 2010 11:45:02 +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/07/t1281181474zqnr8rz1jq1op84.htm/, Retrieved Mon, 06 May 2024 12:23:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78492, Retrieved Mon, 06 May 2024 12:23:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsGosselin Claudia
Estimated Impact221

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] [Tijdsreeks B - st...] [2010-08-07 11:45:02] [f0cd0ad4d4cb2a25864ed1f6cd7bfd87] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
166
165
164
162
160
159
160
162
163
163
164
166
163
166
170
171
176
172
169
180
172
170
161
167
158
163
165
169
168
165
156
157
146
150
146
159
146
151
156
152
152
143
127
126
122
122
114
127
125
123
124
123
127
117
104
110
106
107
100
115
117
123
130
129
125
112
90
96
99
108
101
113
113
120
131
135
137
120
102
114
121
134
122
131

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78492&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78492&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78492&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0192.16137048018534.89680684438186
0.0295.04723665300133.67719569167668
0.0397.48299389975352.84963182247624
0.0499.28602504916892.50274584861244
0.05100.6926945661242.54112979607997
0.06101.9328636224082.78163776903987
0.07103.1317549939123.06150502634385
0.08104.3333039968493.2908617952667
0.09105.5377728042243.43925607078514
0.1106.7283282991363.50718984837534
0.11107.8855053577833.50506857617087
0.12108.9934435343663.44516489035876
0.13110.0420480565613.3440254521769
0.14111.0277031878133.22514821234824
0.15111.9533325568253.11726235327233
0.16112.8275526811653.04633746198034
0.17113.6626435720063.02618342485813
0.18114.4716111219093.05293851472992
0.19115.2651272646903.10682999049344
0.2116.0492455103863.16099971728630
0.21116.8244926892683.18918986165725
0.22117.5864435682153.17322754562437
0.23118.3274361309813.10562509423903
0.24119.0388332351542.98986117231905
0.25119.7132121770482.83839702624587
0.26120.3460116761092.66975988016618
0.27120.9363956930202.50372431475464
0.28121.4873222586392.35949553000056
0.29122.0049783572692.25142388374940
0.3122.4978359290162.18883984629712
0.31122.9756014546082.17483894173878
0.32123.4482897771312.20779798784667
0.33123.9255753002752.28396165668277
0.34124.4164835580262.39898803598855
0.35124.9294022178392.55038147198186
0.36125.4723257616412.73782038948087
0.37126.0532090955192.96402241964772
0.38126.6802934247583.2326340300481
0.39127.3622801237043.54809542612941
0.4128.1082599879103.91315808798812
0.41128.9273504394864.32720294006527
0.42129.8280463683174.7855575019487
0.43130.8173457190895.27740179250417
0.44131.8997621860265.7861385079289
0.45133.0763763695316.29062522698547
0.46134.3440942483036.76602603278134
0.47135.6952696035047.18621056287182
0.48137.1178013347397.52778572711781
0.49138.5957414512037.7718130743411
0.5140.1103580518037.90678697572758
0.51141.6415101279717.92937231657852
0.52143.1691297180647.8449460779959
0.53144.6745889053907.66620865156433
0.54146.1417603172847.41023649967673
0.55147.5576522788697.09642796740522
0.56148.9125939466996.74355018383981
0.57150.2000362422506.36713091570443
0.58151.4160981253005.97977007456991
0.59152.5590108040035.59015930531734
0.6153.6285938072225.20408695596352
0.61154.6258475017994.82578582180856
0.62155.5526853790304.45890213185232
0.63156.4117763324114.10678479014106
0.64157.2064373958573.77288511016958
0.65157.9405171320533.46046044094822
0.66158.6182349422383.17178365387795
0.67159.2439796238432.90752488193827
0.68159.8221052677182.66696102297335
0.69160.3567794976592.44819260228708
0.7160.8519304066982.2489690227354
0.71161.3113066196632.06743649954608
0.72161.7386218153021.90318431565818
0.73162.1377188306091.75688656443087
0.74162.5126764156801.63019225158443
0.75162.8678028537191.52474537815068
0.76163.2075106343091.44082015628275
0.77163.5361270369231.37709322559655
0.78163.8577404040311.33063959498504
0.79164.1761860914421.29835600161864
0.8164.4952268125781.27807121302456
0.81164.8188866779971.27037481630335
0.82165.1517865462481.27782792640821
0.83165.4992484960641.30408813872069
0.84165.8669436942111.35073728560950
0.85166.2599901218121.41433218393139
0.86166.6816599869061.48445036485026
0.87167.1321557671031.54517302257127
0.88167.6081101789881.58002929329199
0.89168.1033885356361.57748972239951
0.9168.6113524853451.53744991476561
0.91169.1281901947951.47285279928023
0.92169.6568356526941.40614809724270
0.93170.2121474557381.36347801108129
0.94170.8302147930161.37642331399202
0.95171.5849150492811.50801816533419
0.96172.6064669109851.86538805147605
0.97174.0711993748372.48243750743425
0.98176.0856747105103.16905392881635
0.99178.3765254536063.67346237847218

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 92.1613704801853 & 4.89680684438186 \tabularnewline
0.02 & 95.0472366530013 & 3.67719569167668 \tabularnewline
0.03 & 97.4829938997535 & 2.84963182247624 \tabularnewline
0.04 & 99.2860250491689 & 2.50274584861244 \tabularnewline
0.05 & 100.692694566124 & 2.54112979607997 \tabularnewline
0.06 & 101.932863622408 & 2.78163776903987 \tabularnewline
0.07 & 103.131754993912 & 3.06150502634385 \tabularnewline
0.08 & 104.333303996849 & 3.2908617952667 \tabularnewline
0.09 & 105.537772804224 & 3.43925607078514 \tabularnewline
0.1 & 106.728328299136 & 3.50718984837534 \tabularnewline
0.11 & 107.885505357783 & 3.50506857617087 \tabularnewline
0.12 & 108.993443534366 & 3.44516489035876 \tabularnewline
0.13 & 110.042048056561 & 3.3440254521769 \tabularnewline
0.14 & 111.027703187813 & 3.22514821234824 \tabularnewline
0.15 & 111.953332556825 & 3.11726235327233 \tabularnewline
0.16 & 112.827552681165 & 3.04633746198034 \tabularnewline
0.17 & 113.662643572006 & 3.02618342485813 \tabularnewline
0.18 & 114.471611121909 & 3.05293851472992 \tabularnewline
0.19 & 115.265127264690 & 3.10682999049344 \tabularnewline
0.2 & 116.049245510386 & 3.16099971728630 \tabularnewline
0.21 & 116.824492689268 & 3.18918986165725 \tabularnewline
0.22 & 117.586443568215 & 3.17322754562437 \tabularnewline
0.23 & 118.327436130981 & 3.10562509423903 \tabularnewline
0.24 & 119.038833235154 & 2.98986117231905 \tabularnewline
0.25 & 119.713212177048 & 2.83839702624587 \tabularnewline
0.26 & 120.346011676109 & 2.66975988016618 \tabularnewline
0.27 & 120.936395693020 & 2.50372431475464 \tabularnewline
0.28 & 121.487322258639 & 2.35949553000056 \tabularnewline
0.29 & 122.004978357269 & 2.25142388374940 \tabularnewline
0.3 & 122.497835929016 & 2.18883984629712 \tabularnewline
0.31 & 122.975601454608 & 2.17483894173878 \tabularnewline
0.32 & 123.448289777131 & 2.20779798784667 \tabularnewline
0.33 & 123.925575300275 & 2.28396165668277 \tabularnewline
0.34 & 124.416483558026 & 2.39898803598855 \tabularnewline
0.35 & 124.929402217839 & 2.55038147198186 \tabularnewline
0.36 & 125.472325761641 & 2.73782038948087 \tabularnewline
0.37 & 126.053209095519 & 2.96402241964772 \tabularnewline
0.38 & 126.680293424758 & 3.2326340300481 \tabularnewline
0.39 & 127.362280123704 & 3.54809542612941 \tabularnewline
0.4 & 128.108259987910 & 3.91315808798812 \tabularnewline
0.41 & 128.927350439486 & 4.32720294006527 \tabularnewline
0.42 & 129.828046368317 & 4.7855575019487 \tabularnewline
0.43 & 130.817345719089 & 5.27740179250417 \tabularnewline
0.44 & 131.899762186026 & 5.7861385079289 \tabularnewline
0.45 & 133.076376369531 & 6.29062522698547 \tabularnewline
0.46 & 134.344094248303 & 6.76602603278134 \tabularnewline
0.47 & 135.695269603504 & 7.18621056287182 \tabularnewline
0.48 & 137.117801334739 & 7.52778572711781 \tabularnewline
0.49 & 138.595741451203 & 7.7718130743411 \tabularnewline
0.5 & 140.110358051803 & 7.90678697572758 \tabularnewline
0.51 & 141.641510127971 & 7.92937231657852 \tabularnewline
0.52 & 143.169129718064 & 7.8449460779959 \tabularnewline
0.53 & 144.674588905390 & 7.66620865156433 \tabularnewline
0.54 & 146.141760317284 & 7.41023649967673 \tabularnewline
0.55 & 147.557652278869 & 7.09642796740522 \tabularnewline
0.56 & 148.912593946699 & 6.74355018383981 \tabularnewline
0.57 & 150.200036242250 & 6.36713091570443 \tabularnewline
0.58 & 151.416098125300 & 5.97977007456991 \tabularnewline
0.59 & 152.559010804003 & 5.59015930531734 \tabularnewline
0.6 & 153.628593807222 & 5.20408695596352 \tabularnewline
0.61 & 154.625847501799 & 4.82578582180856 \tabularnewline
0.62 & 155.552685379030 & 4.45890213185232 \tabularnewline
0.63 & 156.411776332411 & 4.10678479014106 \tabularnewline
0.64 & 157.206437395857 & 3.77288511016958 \tabularnewline
0.65 & 157.940517132053 & 3.46046044094822 \tabularnewline
0.66 & 158.618234942238 & 3.17178365387795 \tabularnewline
0.67 & 159.243979623843 & 2.90752488193827 \tabularnewline
0.68 & 159.822105267718 & 2.66696102297335 \tabularnewline
0.69 & 160.356779497659 & 2.44819260228708 \tabularnewline
0.7 & 160.851930406698 & 2.2489690227354 \tabularnewline
0.71 & 161.311306619663 & 2.06743649954608 \tabularnewline
0.72 & 161.738621815302 & 1.90318431565818 \tabularnewline
0.73 & 162.137718830609 & 1.75688656443087 \tabularnewline
0.74 & 162.512676415680 & 1.63019225158443 \tabularnewline
0.75 & 162.867802853719 & 1.52474537815068 \tabularnewline
0.76 & 163.207510634309 & 1.44082015628275 \tabularnewline
0.77 & 163.536127036923 & 1.37709322559655 \tabularnewline
0.78 & 163.857740404031 & 1.33063959498504 \tabularnewline
0.79 & 164.176186091442 & 1.29835600161864 \tabularnewline
0.8 & 164.495226812578 & 1.27807121302456 \tabularnewline
0.81 & 164.818886677997 & 1.27037481630335 \tabularnewline
0.82 & 165.151786546248 & 1.27782792640821 \tabularnewline
0.83 & 165.499248496064 & 1.30408813872069 \tabularnewline
0.84 & 165.866943694211 & 1.35073728560950 \tabularnewline
0.85 & 166.259990121812 & 1.41433218393139 \tabularnewline
0.86 & 166.681659986906 & 1.48445036485026 \tabularnewline
0.87 & 167.132155767103 & 1.54517302257127 \tabularnewline
0.88 & 167.608110178988 & 1.58002929329199 \tabularnewline
0.89 & 168.103388535636 & 1.57748972239951 \tabularnewline
0.9 & 168.611352485345 & 1.53744991476561 \tabularnewline
0.91 & 169.128190194795 & 1.47285279928023 \tabularnewline
0.92 & 169.656835652694 & 1.40614809724270 \tabularnewline
0.93 & 170.212147455738 & 1.36347801108129 \tabularnewline
0.94 & 170.830214793016 & 1.37642331399202 \tabularnewline
0.95 & 171.584915049281 & 1.50801816533419 \tabularnewline
0.96 & 172.606466910985 & 1.86538805147605 \tabularnewline
0.97 & 174.071199374837 & 2.48243750743425 \tabularnewline
0.98 & 176.085674710510 & 3.16905392881635 \tabularnewline
0.99 & 178.376525453606 & 3.67346237847218 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78492&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]92.1613704801853[/C][C]4.89680684438186[/C][/ROW]
[ROW][C]0.02[/C][C]95.0472366530013[/C][C]3.67719569167668[/C][/ROW]
[ROW][C]0.03[/C][C]97.4829938997535[/C][C]2.84963182247624[/C][/ROW]
[ROW][C]0.04[/C][C]99.2860250491689[/C][C]2.50274584861244[/C][/ROW]
[ROW][C]0.05[/C][C]100.692694566124[/C][C]2.54112979607997[/C][/ROW]
[ROW][C]0.06[/C][C]101.932863622408[/C][C]2.78163776903987[/C][/ROW]
[ROW][C]0.07[/C][C]103.131754993912[/C][C]3.06150502634385[/C][/ROW]
[ROW][C]0.08[/C][C]104.333303996849[/C][C]3.2908617952667[/C][/ROW]
[ROW][C]0.09[/C][C]105.537772804224[/C][C]3.43925607078514[/C][/ROW]
[ROW][C]0.1[/C][C]106.728328299136[/C][C]3.50718984837534[/C][/ROW]
[ROW][C]0.11[/C][C]107.885505357783[/C][C]3.50506857617087[/C][/ROW]
[ROW][C]0.12[/C][C]108.993443534366[/C][C]3.44516489035876[/C][/ROW]
[ROW][C]0.13[/C][C]110.042048056561[/C][C]3.3440254521769[/C][/ROW]
[ROW][C]0.14[/C][C]111.027703187813[/C][C]3.22514821234824[/C][/ROW]
[ROW][C]0.15[/C][C]111.953332556825[/C][C]3.11726235327233[/C][/ROW]
[ROW][C]0.16[/C][C]112.827552681165[/C][C]3.04633746198034[/C][/ROW]
[ROW][C]0.17[/C][C]113.662643572006[/C][C]3.02618342485813[/C][/ROW]
[ROW][C]0.18[/C][C]114.471611121909[/C][C]3.05293851472992[/C][/ROW]
[ROW][C]0.19[/C][C]115.265127264690[/C][C]3.10682999049344[/C][/ROW]
[ROW][C]0.2[/C][C]116.049245510386[/C][C]3.16099971728630[/C][/ROW]
[ROW][C]0.21[/C][C]116.824492689268[/C][C]3.18918986165725[/C][/ROW]
[ROW][C]0.22[/C][C]117.586443568215[/C][C]3.17322754562437[/C][/ROW]
[ROW][C]0.23[/C][C]118.327436130981[/C][C]3.10562509423903[/C][/ROW]
[ROW][C]0.24[/C][C]119.038833235154[/C][C]2.98986117231905[/C][/ROW]
[ROW][C]0.25[/C][C]119.713212177048[/C][C]2.83839702624587[/C][/ROW]
[ROW][C]0.26[/C][C]120.346011676109[/C][C]2.66975988016618[/C][/ROW]
[ROW][C]0.27[/C][C]120.936395693020[/C][C]2.50372431475464[/C][/ROW]
[ROW][C]0.28[/C][C]121.487322258639[/C][C]2.35949553000056[/C][/ROW]
[ROW][C]0.29[/C][C]122.004978357269[/C][C]2.25142388374940[/C][/ROW]
[ROW][C]0.3[/C][C]122.497835929016[/C][C]2.18883984629712[/C][/ROW]
[ROW][C]0.31[/C][C]122.975601454608[/C][C]2.17483894173878[/C][/ROW]
[ROW][C]0.32[/C][C]123.448289777131[/C][C]2.20779798784667[/C][/ROW]
[ROW][C]0.33[/C][C]123.925575300275[/C][C]2.28396165668277[/C][/ROW]
[ROW][C]0.34[/C][C]124.416483558026[/C][C]2.39898803598855[/C][/ROW]
[ROW][C]0.35[/C][C]124.929402217839[/C][C]2.55038147198186[/C][/ROW]
[ROW][C]0.36[/C][C]125.472325761641[/C][C]2.73782038948087[/C][/ROW]
[ROW][C]0.37[/C][C]126.053209095519[/C][C]2.96402241964772[/C][/ROW]
[ROW][C]0.38[/C][C]126.680293424758[/C][C]3.2326340300481[/C][/ROW]
[ROW][C]0.39[/C][C]127.362280123704[/C][C]3.54809542612941[/C][/ROW]
[ROW][C]0.4[/C][C]128.108259987910[/C][C]3.91315808798812[/C][/ROW]
[ROW][C]0.41[/C][C]128.927350439486[/C][C]4.32720294006527[/C][/ROW]
[ROW][C]0.42[/C][C]129.828046368317[/C][C]4.7855575019487[/C][/ROW]
[ROW][C]0.43[/C][C]130.817345719089[/C][C]5.27740179250417[/C][/ROW]
[ROW][C]0.44[/C][C]131.899762186026[/C][C]5.7861385079289[/C][/ROW]
[ROW][C]0.45[/C][C]133.076376369531[/C][C]6.29062522698547[/C][/ROW]
[ROW][C]0.46[/C][C]134.344094248303[/C][C]6.76602603278134[/C][/ROW]
[ROW][C]0.47[/C][C]135.695269603504[/C][C]7.18621056287182[/C][/ROW]
[ROW][C]0.48[/C][C]137.117801334739[/C][C]7.52778572711781[/C][/ROW]
[ROW][C]0.49[/C][C]138.595741451203[/C][C]7.7718130743411[/C][/ROW]
[ROW][C]0.5[/C][C]140.110358051803[/C][C]7.90678697572758[/C][/ROW]
[ROW][C]0.51[/C][C]141.641510127971[/C][C]7.92937231657852[/C][/ROW]
[ROW][C]0.52[/C][C]143.169129718064[/C][C]7.8449460779959[/C][/ROW]
[ROW][C]0.53[/C][C]144.674588905390[/C][C]7.66620865156433[/C][/ROW]
[ROW][C]0.54[/C][C]146.141760317284[/C][C]7.41023649967673[/C][/ROW]
[ROW][C]0.55[/C][C]147.557652278869[/C][C]7.09642796740522[/C][/ROW]
[ROW][C]0.56[/C][C]148.912593946699[/C][C]6.74355018383981[/C][/ROW]
[ROW][C]0.57[/C][C]150.200036242250[/C][C]6.36713091570443[/C][/ROW]
[ROW][C]0.58[/C][C]151.416098125300[/C][C]5.97977007456991[/C][/ROW]
[ROW][C]0.59[/C][C]152.559010804003[/C][C]5.59015930531734[/C][/ROW]
[ROW][C]0.6[/C][C]153.628593807222[/C][C]5.20408695596352[/C][/ROW]
[ROW][C]0.61[/C][C]154.625847501799[/C][C]4.82578582180856[/C][/ROW]
[ROW][C]0.62[/C][C]155.552685379030[/C][C]4.45890213185232[/C][/ROW]
[ROW][C]0.63[/C][C]156.411776332411[/C][C]4.10678479014106[/C][/ROW]
[ROW][C]0.64[/C][C]157.206437395857[/C][C]3.77288511016958[/C][/ROW]
[ROW][C]0.65[/C][C]157.940517132053[/C][C]3.46046044094822[/C][/ROW]
[ROW][C]0.66[/C][C]158.618234942238[/C][C]3.17178365387795[/C][/ROW]
[ROW][C]0.67[/C][C]159.243979623843[/C][C]2.90752488193827[/C][/ROW]
[ROW][C]0.68[/C][C]159.822105267718[/C][C]2.66696102297335[/C][/ROW]
[ROW][C]0.69[/C][C]160.356779497659[/C][C]2.44819260228708[/C][/ROW]
[ROW][C]0.7[/C][C]160.851930406698[/C][C]2.2489690227354[/C][/ROW]
[ROW][C]0.71[/C][C]161.311306619663[/C][C]2.06743649954608[/C][/ROW]
[ROW][C]0.72[/C][C]161.738621815302[/C][C]1.90318431565818[/C][/ROW]
[ROW][C]0.73[/C][C]162.137718830609[/C][C]1.75688656443087[/C][/ROW]
[ROW][C]0.74[/C][C]162.512676415680[/C][C]1.63019225158443[/C][/ROW]
[ROW][C]0.75[/C][C]162.867802853719[/C][C]1.52474537815068[/C][/ROW]
[ROW][C]0.76[/C][C]163.207510634309[/C][C]1.44082015628275[/C][/ROW]
[ROW][C]0.77[/C][C]163.536127036923[/C][C]1.37709322559655[/C][/ROW]
[ROW][C]0.78[/C][C]163.857740404031[/C][C]1.33063959498504[/C][/ROW]
[ROW][C]0.79[/C][C]164.176186091442[/C][C]1.29835600161864[/C][/ROW]
[ROW][C]0.8[/C][C]164.495226812578[/C][C]1.27807121302456[/C][/ROW]
[ROW][C]0.81[/C][C]164.818886677997[/C][C]1.27037481630335[/C][/ROW]
[ROW][C]0.82[/C][C]165.151786546248[/C][C]1.27782792640821[/C][/ROW]
[ROW][C]0.83[/C][C]165.499248496064[/C][C]1.30408813872069[/C][/ROW]
[ROW][C]0.84[/C][C]165.866943694211[/C][C]1.35073728560950[/C][/ROW]
[ROW][C]0.85[/C][C]166.259990121812[/C][C]1.41433218393139[/C][/ROW]
[ROW][C]0.86[/C][C]166.681659986906[/C][C]1.48445036485026[/C][/ROW]
[ROW][C]0.87[/C][C]167.132155767103[/C][C]1.54517302257127[/C][/ROW]
[ROW][C]0.88[/C][C]167.608110178988[/C][C]1.58002929329199[/C][/ROW]
[ROW][C]0.89[/C][C]168.103388535636[/C][C]1.57748972239951[/C][/ROW]
[ROW][C]0.9[/C][C]168.611352485345[/C][C]1.53744991476561[/C][/ROW]
[ROW][C]0.91[/C][C]169.128190194795[/C][C]1.47285279928023[/C][/ROW]
[ROW][C]0.92[/C][C]169.656835652694[/C][C]1.40614809724270[/C][/ROW]
[ROW][C]0.93[/C][C]170.212147455738[/C][C]1.36347801108129[/C][/ROW]
[ROW][C]0.94[/C][C]170.830214793016[/C][C]1.37642331399202[/C][/ROW]
[ROW][C]0.95[/C][C]171.584915049281[/C][C]1.50801816533419[/C][/ROW]
[ROW][C]0.96[/C][C]172.606466910985[/C][C]1.86538805147605[/C][/ROW]
[ROW][C]0.97[/C][C]174.071199374837[/C][C]2.48243750743425[/C][/ROW]
[ROW][C]0.98[/C][C]176.085674710510[/C][C]3.16905392881635[/C][/ROW]
[ROW][C]0.99[/C][C]178.376525453606[/C][C]3.67346237847218[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78492&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78492&T=1

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


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0192.16137048018534.89680684438186
0.0295.04723665300133.67719569167668
0.0397.48299389975352.84963182247624
0.0499.28602504916892.50274584861244
0.05100.6926945661242.54112979607997
0.06101.9328636224082.78163776903987
0.07103.1317549939123.06150502634385
0.08104.3333039968493.2908617952667
0.09105.5377728042243.43925607078514
0.1106.7283282991363.50718984837534
0.11107.8855053577833.50506857617087
0.12108.9934435343663.44516489035876
0.13110.0420480565613.3440254521769
0.14111.0277031878133.22514821234824
0.15111.9533325568253.11726235327233
0.16112.8275526811653.04633746198034
0.17113.6626435720063.02618342485813
0.18114.4716111219093.05293851472992
0.19115.2651272646903.10682999049344
0.2116.0492455103863.16099971728630
0.21116.8244926892683.18918986165725
0.22117.5864435682153.17322754562437
0.23118.3274361309813.10562509423903
0.24119.0388332351542.98986117231905
0.25119.7132121770482.83839702624587
0.26120.3460116761092.66975988016618
0.27120.9363956930202.50372431475464
0.28121.4873222586392.35949553000056
0.29122.0049783572692.25142388374940
0.3122.4978359290162.18883984629712
0.31122.9756014546082.17483894173878
0.32123.4482897771312.20779798784667
0.33123.9255753002752.28396165668277
0.34124.4164835580262.39898803598855
0.35124.9294022178392.55038147198186
0.36125.4723257616412.73782038948087
0.37126.0532090955192.96402241964772
0.38126.6802934247583.2326340300481
0.39127.3622801237043.54809542612941
0.4128.1082599879103.91315808798812
0.41128.9273504394864.32720294006527
0.42129.8280463683174.7855575019487
0.43130.8173457190895.27740179250417
0.44131.8997621860265.7861385079289
0.45133.0763763695316.29062522698547
0.46134.3440942483036.76602603278134
0.47135.6952696035047.18621056287182
0.48137.1178013347397.52778572711781
0.49138.5957414512037.7718130743411
0.5140.1103580518037.90678697572758
0.51141.6415101279717.92937231657852
0.52143.1691297180647.8449460779959
0.53144.6745889053907.66620865156433
0.54146.1417603172847.41023649967673
0.55147.5576522788697.09642796740522
0.56148.9125939466996.74355018383981
0.57150.2000362422506.36713091570443
0.58151.4160981253005.97977007456991
0.59152.5590108040035.59015930531734
0.6153.6285938072225.20408695596352
0.61154.6258475017994.82578582180856
0.62155.5526853790304.45890213185232
0.63156.4117763324114.10678479014106
0.64157.2064373958573.77288511016958
0.65157.9405171320533.46046044094822
0.66158.6182349422383.17178365387795
0.67159.2439796238432.90752488193827
0.68159.8221052677182.66696102297335
0.69160.3567794976592.44819260228708
0.7160.8519304066982.2489690227354
0.71161.3113066196632.06743649954608
0.72161.7386218153021.90318431565818
0.73162.1377188306091.75688656443087
0.74162.5126764156801.63019225158443
0.75162.8678028537191.52474537815068
0.76163.2075106343091.44082015628275
0.77163.5361270369231.37709322559655
0.78163.8577404040311.33063959498504
0.79164.1761860914421.29835600161864
0.8164.4952268125781.27807121302456
0.81164.8188866779971.27037481630335
0.82165.1517865462481.27782792640821
0.83165.4992484960641.30408813872069
0.84165.8669436942111.35073728560950
0.85166.2599901218121.41433218393139
0.86166.6816599869061.48445036485026
0.87167.1321557671031.54517302257127
0.88167.6081101789881.58002929329199
0.89168.1033885356361.57748972239951
0.9168.6113524853451.53744991476561
0.91169.1281901947951.47285279928023
0.92169.6568356526941.40614809724270
0.93170.2121474557381.36347801108129
0.94170.8302147930161.37642331399202
0.95171.5849150492811.50801816533419
0.96172.6064669109851.86538805147605
0.97174.0711993748372.48243750743425
0.98176.0856747105103.16905392881635
0.99178.3765254536063.67346237847218


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')