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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 computationMon, 18 May 2015 18:48:05 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/May/18/t1431971397lqkpnjo66cfyb6b.htm/, Retrieved Thu, 02 May 2024 11:09:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279112, Retrieved Thu, 02 May 2024 11:09:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact140

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] [Harrell-davis] [2015-05-18 17:48:05] [b43493158838656c32486372ca9c54cf] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100.8
100.66
101.44
102.17
102.75
104.28
104.96
105.16
105.29
105.15
105.23
104.45
104.6
105.1
105.94
106.2
106.89
107.57
107.42
107.2
107.08
107.17
107.23
106.61
106.97
108.23
109.8
111.93
113.51
115.27
115.58
115.55
115.44
114.93
115.09
113.78
114.51
114.85
116.12
115.47
115.93
116.6
116.98
117.37
117.48
117.18
117.03
114.95
115.64
116.02
116.07
114.5
114.36
116
116.16
116.42
116.78
115.74
115.44
113.52
113.37
114.35
114.11
113.47
114.33
115.76
116.2
116.48
116.53
116.45
116.23
114.46
115.08
115.57
116.17
115.21
114.97
114.24
114.16
117.2
117.71
117.14
116.67
114.71
115.92
117.74
118.38
118.59
119.66
121.2
121.4
122.66
122.95
122.9
123.29
122.02

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' @ yule.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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279112&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' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279112&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279112&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' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01100.8407021261810.405765362953862
0.02101.2433424204450.776674123275621
0.03101.8046568143741.05434208458986
0.04102.435573760391.19542448648445
0.05103.0573124414231.19081804393225
0.06103.6131542512451.06660328055805
0.07104.0734884943250.883887536169323
0.08104.4353970590970.707160679063419
0.09104.7153629499810.579008698828126
0.1104.938775050860.515348513257918
0.11105.131160759430.512463075772631
0.12105.3131305496460.554059450509055
0.13105.4984116589320.618482604428246
0.14105.6938174505650.684934097433355
0.15105.9004954251140.739256482104099
0.16106.1161239552030.776213356076261
0.17106.3376335672730.801324260605718
0.18106.563821876980.82970831270032
0.19106.7971974747310.883015132554914
0.2107.0445825389660.982357647073519
0.21107.3163311710321.14015770039995
0.22107.6243619650841.35523202062945
0.23107.9794785048871.61224393459254
0.24108.3886152029811.88591960791268
0.25108.8526702473652.14407301081877
0.26109.3654594457672.35432950668462
0.27109.9140612337972.48921102371973
0.28110.4804831212292.53190626242099
0.29111.0442568313952.4784186131024
0.3111.585360228952.3377132194835
0.31112.0868300896912.12909752807855
0.32112.5365706970111.87776951139112
0.33112.9281191902091.60993818164494
0.34113.2604072483431.34827835993369
0.35113.5367739002411.11007298012495
0.36113.7635865851030.906150738463056
0.37113.9488149114430.740413287953478
0.38114.1008088240750.612331310820243
0.39114.2274101434450.518142841484381
0.4114.3354171455780.4524631013913
0.41114.4303501715290.40866235437333
0.42114.5164357059510.381025378164139
0.43114.5967265584380.364148791684311
0.44114.6732917615170.353766005877162
0.45114.7474292865810.347054426012763
0.46114.8198711613340.341649120551857
0.47114.8909626804340.336687735710943
0.48114.9608064052060.331332929806379
0.49115.0293689881240.325350321931048
0.5115.096554855980.318670420062786
0.51115.1622547167090.311194344004477
0.52115.2263778351310.303222138768185
0.53115.2888749494120.295028260450719
0.54115.3497546490240.286562262112618
0.55115.4090919375840.278693385956182
0.56115.4670255194170.271489239212087
0.57115.5237411808710.265429586620425
0.58115.5794422293360.260387439918842
0.59115.634312782940.256202191373179
0.6115.6884836248870.252498292403557
0.61115.7420114643230.248860156524025
0.62115.7948799248830.244823454573292
0.63115.8470249296080.23989260957766
0.64115.8983800754470.234496191367349
0.65115.9489313871120.228779720761722
0.66115.9987676005940.223564630584467
0.67116.0481130292440.219508813690536
0.68116.0973349486280.217214639609791
0.69116.1469247647580.217470304360398
0.7116.1974594887970.2203847908872
0.71116.2495545288420.225897066461981
0.72116.3038187021730.233721975001304
0.73116.3608177450160.243334746849018
0.74116.4210459041910.254553188584464
0.75116.4849006724930.266592863078203
0.76116.5526575532670.279231227228561
0.77116.6244514800410.291538510132709
0.78116.700286237750.302918370428021
0.79116.7801058157380.312594318737313
0.8116.8639640551180.321052221726753
0.81116.9523173502350.329466120308408
0.82117.0464431966010.341063572136854
0.83117.1489640482350.36066639329842
0.84117.2644359738610.395187054231649
0.85117.3999324784920.452486769100253
0.86117.5654816257840.54067964392059
0.87117.774066036810.666526792195938
0.88118.0406978181030.832025636072338
0.89118.3799963644521.0297766420291
0.9118.8020227588621.23803146988419
0.91119.3070791240241.41978472713386
0.92119.8814721988721.53006196328764
0.93120.4967997057121.53251539408939
0.94121.1139811326261.41652976491938
0.95121.6905813480291.20141738299729
0.96122.1892689904670.923261694196696
0.97122.5886725741340.624985166935223
0.98122.8963070201150.37423562396684
0.99123.1378765172560.285254433817023

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 100.840702126181 & 0.405765362953862 \tabularnewline
0.02 & 101.243342420445 & 0.776674123275621 \tabularnewline
0.03 & 101.804656814374 & 1.05434208458986 \tabularnewline
0.04 & 102.43557376039 & 1.19542448648445 \tabularnewline
0.05 & 103.057312441423 & 1.19081804393225 \tabularnewline
0.06 & 103.613154251245 & 1.06660328055805 \tabularnewline
0.07 & 104.073488494325 & 0.883887536169323 \tabularnewline
0.08 & 104.435397059097 & 0.707160679063419 \tabularnewline
0.09 & 104.715362949981 & 0.579008698828126 \tabularnewline
0.1 & 104.93877505086 & 0.515348513257918 \tabularnewline
0.11 & 105.13116075943 & 0.512463075772631 \tabularnewline
0.12 & 105.313130549646 & 0.554059450509055 \tabularnewline
0.13 & 105.498411658932 & 0.618482604428246 \tabularnewline
0.14 & 105.693817450565 & 0.684934097433355 \tabularnewline
0.15 & 105.900495425114 & 0.739256482104099 \tabularnewline
0.16 & 106.116123955203 & 0.776213356076261 \tabularnewline
0.17 & 106.337633567273 & 0.801324260605718 \tabularnewline
0.18 & 106.56382187698 & 0.82970831270032 \tabularnewline
0.19 & 106.797197474731 & 0.883015132554914 \tabularnewline
0.2 & 107.044582538966 & 0.982357647073519 \tabularnewline
0.21 & 107.316331171032 & 1.14015770039995 \tabularnewline
0.22 & 107.624361965084 & 1.35523202062945 \tabularnewline
0.23 & 107.979478504887 & 1.61224393459254 \tabularnewline
0.24 & 108.388615202981 & 1.88591960791268 \tabularnewline
0.25 & 108.852670247365 & 2.14407301081877 \tabularnewline
0.26 & 109.365459445767 & 2.35432950668462 \tabularnewline
0.27 & 109.914061233797 & 2.48921102371973 \tabularnewline
0.28 & 110.480483121229 & 2.53190626242099 \tabularnewline
0.29 & 111.044256831395 & 2.4784186131024 \tabularnewline
0.3 & 111.58536022895 & 2.3377132194835 \tabularnewline
0.31 & 112.086830089691 & 2.12909752807855 \tabularnewline
0.32 & 112.536570697011 & 1.87776951139112 \tabularnewline
0.33 & 112.928119190209 & 1.60993818164494 \tabularnewline
0.34 & 113.260407248343 & 1.34827835993369 \tabularnewline
0.35 & 113.536773900241 & 1.11007298012495 \tabularnewline
0.36 & 113.763586585103 & 0.906150738463056 \tabularnewline
0.37 & 113.948814911443 & 0.740413287953478 \tabularnewline
0.38 & 114.100808824075 & 0.612331310820243 \tabularnewline
0.39 & 114.227410143445 & 0.518142841484381 \tabularnewline
0.4 & 114.335417145578 & 0.4524631013913 \tabularnewline
0.41 & 114.430350171529 & 0.40866235437333 \tabularnewline
0.42 & 114.516435705951 & 0.381025378164139 \tabularnewline
0.43 & 114.596726558438 & 0.364148791684311 \tabularnewline
0.44 & 114.673291761517 & 0.353766005877162 \tabularnewline
0.45 & 114.747429286581 & 0.347054426012763 \tabularnewline
0.46 & 114.819871161334 & 0.341649120551857 \tabularnewline
0.47 & 114.890962680434 & 0.336687735710943 \tabularnewline
0.48 & 114.960806405206 & 0.331332929806379 \tabularnewline
0.49 & 115.029368988124 & 0.325350321931048 \tabularnewline
0.5 & 115.09655485598 & 0.318670420062786 \tabularnewline
0.51 & 115.162254716709 & 0.311194344004477 \tabularnewline
0.52 & 115.226377835131 & 0.303222138768185 \tabularnewline
0.53 & 115.288874949412 & 0.295028260450719 \tabularnewline
0.54 & 115.349754649024 & 0.286562262112618 \tabularnewline
0.55 & 115.409091937584 & 0.278693385956182 \tabularnewline
0.56 & 115.467025519417 & 0.271489239212087 \tabularnewline
0.57 & 115.523741180871 & 0.265429586620425 \tabularnewline
0.58 & 115.579442229336 & 0.260387439918842 \tabularnewline
0.59 & 115.63431278294 & 0.256202191373179 \tabularnewline
0.6 & 115.688483624887 & 0.252498292403557 \tabularnewline
0.61 & 115.742011464323 & 0.248860156524025 \tabularnewline
0.62 & 115.794879924883 & 0.244823454573292 \tabularnewline
0.63 & 115.847024929608 & 0.23989260957766 \tabularnewline
0.64 & 115.898380075447 & 0.234496191367349 \tabularnewline
0.65 & 115.948931387112 & 0.228779720761722 \tabularnewline
0.66 & 115.998767600594 & 0.223564630584467 \tabularnewline
0.67 & 116.048113029244 & 0.219508813690536 \tabularnewline
0.68 & 116.097334948628 & 0.217214639609791 \tabularnewline
0.69 & 116.146924764758 & 0.217470304360398 \tabularnewline
0.7 & 116.197459488797 & 0.2203847908872 \tabularnewline
0.71 & 116.249554528842 & 0.225897066461981 \tabularnewline
0.72 & 116.303818702173 & 0.233721975001304 \tabularnewline
0.73 & 116.360817745016 & 0.243334746849018 \tabularnewline
0.74 & 116.421045904191 & 0.254553188584464 \tabularnewline
0.75 & 116.484900672493 & 0.266592863078203 \tabularnewline
0.76 & 116.552657553267 & 0.279231227228561 \tabularnewline
0.77 & 116.624451480041 & 0.291538510132709 \tabularnewline
0.78 & 116.70028623775 & 0.302918370428021 \tabularnewline
0.79 & 116.780105815738 & 0.312594318737313 \tabularnewline
0.8 & 116.863964055118 & 0.321052221726753 \tabularnewline
0.81 & 116.952317350235 & 0.329466120308408 \tabularnewline
0.82 & 117.046443196601 & 0.341063572136854 \tabularnewline
0.83 & 117.148964048235 & 0.36066639329842 \tabularnewline
0.84 & 117.264435973861 & 0.395187054231649 \tabularnewline
0.85 & 117.399932478492 & 0.452486769100253 \tabularnewline
0.86 & 117.565481625784 & 0.54067964392059 \tabularnewline
0.87 & 117.77406603681 & 0.666526792195938 \tabularnewline
0.88 & 118.040697818103 & 0.832025636072338 \tabularnewline
0.89 & 118.379996364452 & 1.0297766420291 \tabularnewline
0.9 & 118.802022758862 & 1.23803146988419 \tabularnewline
0.91 & 119.307079124024 & 1.41978472713386 \tabularnewline
0.92 & 119.881472198872 & 1.53006196328764 \tabularnewline
0.93 & 120.496799705712 & 1.53251539408939 \tabularnewline
0.94 & 121.113981132626 & 1.41652976491938 \tabularnewline
0.95 & 121.690581348029 & 1.20141738299729 \tabularnewline
0.96 & 122.189268990467 & 0.923261694196696 \tabularnewline
0.97 & 122.588672574134 & 0.624985166935223 \tabularnewline
0.98 & 122.896307020115 & 0.37423562396684 \tabularnewline
0.99 & 123.137876517256 & 0.285254433817023 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279112&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]100.840702126181[/C][C]0.405765362953862[/C][/ROW]
[ROW][C]0.02[/C][C]101.243342420445[/C][C]0.776674123275621[/C][/ROW]
[ROW][C]0.03[/C][C]101.804656814374[/C][C]1.05434208458986[/C][/ROW]
[ROW][C]0.04[/C][C]102.43557376039[/C][C]1.19542448648445[/C][/ROW]
[ROW][C]0.05[/C][C]103.057312441423[/C][C]1.19081804393225[/C][/ROW]
[ROW][C]0.06[/C][C]103.613154251245[/C][C]1.06660328055805[/C][/ROW]
[ROW][C]0.07[/C][C]104.073488494325[/C][C]0.883887536169323[/C][/ROW]
[ROW][C]0.08[/C][C]104.435397059097[/C][C]0.707160679063419[/C][/ROW]
[ROW][C]0.09[/C][C]104.715362949981[/C][C]0.579008698828126[/C][/ROW]
[ROW][C]0.1[/C][C]104.93877505086[/C][C]0.515348513257918[/C][/ROW]
[ROW][C]0.11[/C][C]105.13116075943[/C][C]0.512463075772631[/C][/ROW]
[ROW][C]0.12[/C][C]105.313130549646[/C][C]0.554059450509055[/C][/ROW]
[ROW][C]0.13[/C][C]105.498411658932[/C][C]0.618482604428246[/C][/ROW]
[ROW][C]0.14[/C][C]105.693817450565[/C][C]0.684934097433355[/C][/ROW]
[ROW][C]0.15[/C][C]105.900495425114[/C][C]0.739256482104099[/C][/ROW]
[ROW][C]0.16[/C][C]106.116123955203[/C][C]0.776213356076261[/C][/ROW]
[ROW][C]0.17[/C][C]106.337633567273[/C][C]0.801324260605718[/C][/ROW]
[ROW][C]0.18[/C][C]106.56382187698[/C][C]0.82970831270032[/C][/ROW]
[ROW][C]0.19[/C][C]106.797197474731[/C][C]0.883015132554914[/C][/ROW]
[ROW][C]0.2[/C][C]107.044582538966[/C][C]0.982357647073519[/C][/ROW]
[ROW][C]0.21[/C][C]107.316331171032[/C][C]1.14015770039995[/C][/ROW]
[ROW][C]0.22[/C][C]107.624361965084[/C][C]1.35523202062945[/C][/ROW]
[ROW][C]0.23[/C][C]107.979478504887[/C][C]1.61224393459254[/C][/ROW]
[ROW][C]0.24[/C][C]108.388615202981[/C][C]1.88591960791268[/C][/ROW]
[ROW][C]0.25[/C][C]108.852670247365[/C][C]2.14407301081877[/C][/ROW]
[ROW][C]0.26[/C][C]109.365459445767[/C][C]2.35432950668462[/C][/ROW]
[ROW][C]0.27[/C][C]109.914061233797[/C][C]2.48921102371973[/C][/ROW]
[ROW][C]0.28[/C][C]110.480483121229[/C][C]2.53190626242099[/C][/ROW]
[ROW][C]0.29[/C][C]111.044256831395[/C][C]2.4784186131024[/C][/ROW]
[ROW][C]0.3[/C][C]111.58536022895[/C][C]2.3377132194835[/C][/ROW]
[ROW][C]0.31[/C][C]112.086830089691[/C][C]2.12909752807855[/C][/ROW]
[ROW][C]0.32[/C][C]112.536570697011[/C][C]1.87776951139112[/C][/ROW]
[ROW][C]0.33[/C][C]112.928119190209[/C][C]1.60993818164494[/C][/ROW]
[ROW][C]0.34[/C][C]113.260407248343[/C][C]1.34827835993369[/C][/ROW]
[ROW][C]0.35[/C][C]113.536773900241[/C][C]1.11007298012495[/C][/ROW]
[ROW][C]0.36[/C][C]113.763586585103[/C][C]0.906150738463056[/C][/ROW]
[ROW][C]0.37[/C][C]113.948814911443[/C][C]0.740413287953478[/C][/ROW]
[ROW][C]0.38[/C][C]114.100808824075[/C][C]0.612331310820243[/C][/ROW]
[ROW][C]0.39[/C][C]114.227410143445[/C][C]0.518142841484381[/C][/ROW]
[ROW][C]0.4[/C][C]114.335417145578[/C][C]0.4524631013913[/C][/ROW]
[ROW][C]0.41[/C][C]114.430350171529[/C][C]0.40866235437333[/C][/ROW]
[ROW][C]0.42[/C][C]114.516435705951[/C][C]0.381025378164139[/C][/ROW]
[ROW][C]0.43[/C][C]114.596726558438[/C][C]0.364148791684311[/C][/ROW]
[ROW][C]0.44[/C][C]114.673291761517[/C][C]0.353766005877162[/C][/ROW]
[ROW][C]0.45[/C][C]114.747429286581[/C][C]0.347054426012763[/C][/ROW]
[ROW][C]0.46[/C][C]114.819871161334[/C][C]0.341649120551857[/C][/ROW]
[ROW][C]0.47[/C][C]114.890962680434[/C][C]0.336687735710943[/C][/ROW]
[ROW][C]0.48[/C][C]114.960806405206[/C][C]0.331332929806379[/C][/ROW]
[ROW][C]0.49[/C][C]115.029368988124[/C][C]0.325350321931048[/C][/ROW]
[ROW][C]0.5[/C][C]115.09655485598[/C][C]0.318670420062786[/C][/ROW]
[ROW][C]0.51[/C][C]115.162254716709[/C][C]0.311194344004477[/C][/ROW]
[ROW][C]0.52[/C][C]115.226377835131[/C][C]0.303222138768185[/C][/ROW]
[ROW][C]0.53[/C][C]115.288874949412[/C][C]0.295028260450719[/C][/ROW]
[ROW][C]0.54[/C][C]115.349754649024[/C][C]0.286562262112618[/C][/ROW]
[ROW][C]0.55[/C][C]115.409091937584[/C][C]0.278693385956182[/C][/ROW]
[ROW][C]0.56[/C][C]115.467025519417[/C][C]0.271489239212087[/C][/ROW]
[ROW][C]0.57[/C][C]115.523741180871[/C][C]0.265429586620425[/C][/ROW]
[ROW][C]0.58[/C][C]115.579442229336[/C][C]0.260387439918842[/C][/ROW]
[ROW][C]0.59[/C][C]115.63431278294[/C][C]0.256202191373179[/C][/ROW]
[ROW][C]0.6[/C][C]115.688483624887[/C][C]0.252498292403557[/C][/ROW]
[ROW][C]0.61[/C][C]115.742011464323[/C][C]0.248860156524025[/C][/ROW]
[ROW][C]0.62[/C][C]115.794879924883[/C][C]0.244823454573292[/C][/ROW]
[ROW][C]0.63[/C][C]115.847024929608[/C][C]0.23989260957766[/C][/ROW]
[ROW][C]0.64[/C][C]115.898380075447[/C][C]0.234496191367349[/C][/ROW]
[ROW][C]0.65[/C][C]115.948931387112[/C][C]0.228779720761722[/C][/ROW]
[ROW][C]0.66[/C][C]115.998767600594[/C][C]0.223564630584467[/C][/ROW]
[ROW][C]0.67[/C][C]116.048113029244[/C][C]0.219508813690536[/C][/ROW]
[ROW][C]0.68[/C][C]116.097334948628[/C][C]0.217214639609791[/C][/ROW]
[ROW][C]0.69[/C][C]116.146924764758[/C][C]0.217470304360398[/C][/ROW]
[ROW][C]0.7[/C][C]116.197459488797[/C][C]0.2203847908872[/C][/ROW]
[ROW][C]0.71[/C][C]116.249554528842[/C][C]0.225897066461981[/C][/ROW]
[ROW][C]0.72[/C][C]116.303818702173[/C][C]0.233721975001304[/C][/ROW]
[ROW][C]0.73[/C][C]116.360817745016[/C][C]0.243334746849018[/C][/ROW]
[ROW][C]0.74[/C][C]116.421045904191[/C][C]0.254553188584464[/C][/ROW]
[ROW][C]0.75[/C][C]116.484900672493[/C][C]0.266592863078203[/C][/ROW]
[ROW][C]0.76[/C][C]116.552657553267[/C][C]0.279231227228561[/C][/ROW]
[ROW][C]0.77[/C][C]116.624451480041[/C][C]0.291538510132709[/C][/ROW]
[ROW][C]0.78[/C][C]116.70028623775[/C][C]0.302918370428021[/C][/ROW]
[ROW][C]0.79[/C][C]116.780105815738[/C][C]0.312594318737313[/C][/ROW]
[ROW][C]0.8[/C][C]116.863964055118[/C][C]0.321052221726753[/C][/ROW]
[ROW][C]0.81[/C][C]116.952317350235[/C][C]0.329466120308408[/C][/ROW]
[ROW][C]0.82[/C][C]117.046443196601[/C][C]0.341063572136854[/C][/ROW]
[ROW][C]0.83[/C][C]117.148964048235[/C][C]0.36066639329842[/C][/ROW]
[ROW][C]0.84[/C][C]117.264435973861[/C][C]0.395187054231649[/C][/ROW]
[ROW][C]0.85[/C][C]117.399932478492[/C][C]0.452486769100253[/C][/ROW]
[ROW][C]0.86[/C][C]117.565481625784[/C][C]0.54067964392059[/C][/ROW]
[ROW][C]0.87[/C][C]117.77406603681[/C][C]0.666526792195938[/C][/ROW]
[ROW][C]0.88[/C][C]118.040697818103[/C][C]0.832025636072338[/C][/ROW]
[ROW][C]0.89[/C][C]118.379996364452[/C][C]1.0297766420291[/C][/ROW]
[ROW][C]0.9[/C][C]118.802022758862[/C][C]1.23803146988419[/C][/ROW]
[ROW][C]0.91[/C][C]119.307079124024[/C][C]1.41978472713386[/C][/ROW]
[ROW][C]0.92[/C][C]119.881472198872[/C][C]1.53006196328764[/C][/ROW]
[ROW][C]0.93[/C][C]120.496799705712[/C][C]1.53251539408939[/C][/ROW]
[ROW][C]0.94[/C][C]121.113981132626[/C][C]1.41652976491938[/C][/ROW]
[ROW][C]0.95[/C][C]121.690581348029[/C][C]1.20141738299729[/C][/ROW]
[ROW][C]0.96[/C][C]122.189268990467[/C][C]0.923261694196696[/C][/ROW]
[ROW][C]0.97[/C][C]122.588672574134[/C][C]0.624985166935223[/C][/ROW]
[ROW][C]0.98[/C][C]122.896307020115[/C][C]0.37423562396684[/C][/ROW]
[ROW][C]0.99[/C][C]123.137876517256[/C][C]0.285254433817023[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279112&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279112&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
0.01100.8407021261810.405765362953862
0.02101.2433424204450.776674123275621
0.03101.8046568143741.05434208458986
0.04102.435573760391.19542448648445
0.05103.0573124414231.19081804393225
0.06103.6131542512451.06660328055805
0.07104.0734884943250.883887536169323
0.08104.4353970590970.707160679063419
0.09104.7153629499810.579008698828126
0.1104.938775050860.515348513257918
0.11105.131160759430.512463075772631
0.12105.3131305496460.554059450509055
0.13105.4984116589320.618482604428246
0.14105.6938174505650.684934097433355
0.15105.9004954251140.739256482104099
0.16106.1161239552030.776213356076261
0.17106.3376335672730.801324260605718
0.18106.563821876980.82970831270032
0.19106.7971974747310.883015132554914
0.2107.0445825389660.982357647073519
0.21107.3163311710321.14015770039995
0.22107.6243619650841.35523202062945
0.23107.9794785048871.61224393459254
0.24108.3886152029811.88591960791268
0.25108.8526702473652.14407301081877
0.26109.3654594457672.35432950668462
0.27109.9140612337972.48921102371973
0.28110.4804831212292.53190626242099
0.29111.0442568313952.4784186131024
0.3111.585360228952.3377132194835
0.31112.0868300896912.12909752807855
0.32112.5365706970111.87776951139112
0.33112.9281191902091.60993818164494
0.34113.2604072483431.34827835993369
0.35113.5367739002411.11007298012495
0.36113.7635865851030.906150738463056
0.37113.9488149114430.740413287953478
0.38114.1008088240750.612331310820243
0.39114.2274101434450.518142841484381
0.4114.3354171455780.4524631013913
0.41114.4303501715290.40866235437333
0.42114.5164357059510.381025378164139
0.43114.5967265584380.364148791684311
0.44114.6732917615170.353766005877162
0.45114.7474292865810.347054426012763
0.46114.8198711613340.341649120551857
0.47114.8909626804340.336687735710943
0.48114.9608064052060.331332929806379
0.49115.0293689881240.325350321931048
0.5115.096554855980.318670420062786
0.51115.1622547167090.311194344004477
0.52115.2263778351310.303222138768185
0.53115.2888749494120.295028260450719
0.54115.3497546490240.286562262112618
0.55115.4090919375840.278693385956182
0.56115.4670255194170.271489239212087
0.57115.5237411808710.265429586620425
0.58115.5794422293360.260387439918842
0.59115.634312782940.256202191373179
0.6115.6884836248870.252498292403557
0.61115.7420114643230.248860156524025
0.62115.7948799248830.244823454573292
0.63115.8470249296080.23989260957766
0.64115.8983800754470.234496191367349
0.65115.9489313871120.228779720761722
0.66115.9987676005940.223564630584467
0.67116.0481130292440.219508813690536
0.68116.0973349486280.217214639609791
0.69116.1469247647580.217470304360398
0.7116.1974594887970.2203847908872
0.71116.2495545288420.225897066461981
0.72116.3038187021730.233721975001304
0.73116.3608177450160.243334746849018
0.74116.4210459041910.254553188584464
0.75116.4849006724930.266592863078203
0.76116.5526575532670.279231227228561
0.77116.6244514800410.291538510132709
0.78116.700286237750.302918370428021
0.79116.7801058157380.312594318737313
0.8116.8639640551180.321052221726753
0.81116.9523173502350.329466120308408
0.82117.0464431966010.341063572136854
0.83117.1489640482350.36066639329842
0.84117.2644359738610.395187054231649
0.85117.3999324784920.452486769100253
0.86117.5654816257840.54067964392059
0.87117.774066036810.666526792195938
0.88118.0406978181030.832025636072338
0.89118.3799963644521.0297766420291
0.9118.8020227588621.23803146988419
0.91119.3070791240241.41978472713386
0.92119.8814721988721.53006196328764
0.93120.4967997057121.53251539408939
0.94121.1139811326261.41652976491938
0.95121.6905813480291.20141738299729
0.96122.1892689904670.923261694196696
0.97122.5886725741340.624985166935223
0.98122.8963070201150.37423562396684
0.99123.1378765172560.285254433817023


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')