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Author's title

Datareeks-H-D Percentielen Prijsindexcijfers grondstoffen: levensmiddelen-G...

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 07 Oct 2014 13:25:22 +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/2014/Oct/07/t1412684828spo3vj0lnd39syd.htm/, Retrieved Fri, 10 May 2024 00:09:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=239173, Retrieved Fri, 10 May 2024 00:09:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact71

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] [Datareeks-H-D Per...] [2014-10-07 12:25:22] [3acc2e190882a8fff3240b97d842d2ea] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
103.1
113.5
115.7
113.1
112.7
121.9
120.3
108.7
102.8
83.4
79.4
77.8
85.7
83.2
82
86.9
95.7
97.9
89.3
91.5
86.8
91
93.8
96.8
95.7
91.4
88.7
88.2
87.7
89.5
95.6
100.5
106.3
112
117.7
125
132.4
138.1
134.7
136.7
134.3
131.6
129.8
131.9
129.8
119.4
116.7
112.8
116
117.5
118.8
118.7
116.3
115.2
131.7
133.7
132.5
126.9
122.2
120.2
117.9
117.2
116.4
112.3
113.6
114.2
108
102.8
102.8
101.6
100.3
101.7

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239173&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239173&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239173&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0178.44247194147651.77057903989893
0.0279.49820439258292.03229725345562
0.0380.67920990987612.135703711365
0.0481.80488901328722.09583302086853
0.0582.8146647247272.03832022065987
0.0683.71176719031332.01259694000815
0.0784.51713522569161.98984396063204
0.0885.24776523176551.93676145240495
0.0985.91310038367141.85175781604454
0.186.51942696178311.75834325017699
0.1187.07462259159131.68627474974644
0.1287.59000558574341.65712641105291
0.1388.07948985500171.67928145296496
0.1488.55757794639481.75082853475893
0.1589.03748757318731.86390604992447
0.1689.52996549480692.00852311829105
0.1790.04278142824932.1737274744865
0.1890.5806835022992.34848445228953
0.1991.14561923995382.52227220833746
0.291.73711716140712.68556255793478
0.2192.3527845958012.83114466358591
0.2292.98888508467922.95441960591896
0.2393.64093663256283.05378655316484
0.2494.30425315988123.13021610437366
0.2594.97435800041583.186601268899
0.2695.64723364626883.22549165462784
0.2796.3194232100033.24928283573069
0.2896.98804496680273.25970767071217
0.2997.65080244113163.25817434314152
0.398.30605957767923.24646704280809
0.3198.9530080328113.22868394036028
0.3299.59189742249563.21119812056473
0.33100.2242502521873.2028727901417
0.34100.8529591250053.21340628403557
0.35101.4821736914773.25148344316286
0.36102.1169265178353.32283110255835
0.37102.7625088831923.42765913937665
0.38103.42367243273.5597264731089
0.39104.1037834437463.70709613558227
0.4104.8040803730483.85385989770469
0.41105.5231766165363.98186622441984
0.42106.2569111439824.07393143135294
0.43106.9985887235834.11617956976879
0.44107.7395820077094.09937845239156
0.45108.4702042131424.020669269681
0.46109.18071601953.88316158748487
0.47109.8623117721943.69526866852845
0.48110.5079404499633.47026835431867
0.49111.1128525513923.22321129827413
0.5111.6748166766992.97017612546788
0.51112.1940079934922.72524936364516
0.52112.6726235788342.49987537379713
0.53113.1143175033082.30111629471019
0.54113.5235659291412.13212883305646
0.55113.9050684500181.99165330058236
0.56114.2632697251.87615533274642
0.57114.6020516585841.78004369729425
0.58114.9246089724641.69843658749508
0.59115.2334877142111.6268058280815
0.6115.5307428931451.5627452763157
0.61115.8181609968751.50554029984752
0.62116.097495475961.45597150193954
0.63116.3706755890491.41570266602859
0.64116.6399668211851.38719415601239
0.65116.9080795201891.37302856370744
0.66117.1782371684941.37579715221954
0.67117.4542238694711.39783991872946
0.68117.7404307588791.4416110247889
0.69118.041913106811.50951767338945
0.7118.3644549074051.60448961157186
0.71118.7146178156851.72949741821169
0.72119.0997296472431.8875455717284
0.73119.5277491886462.08088230802187
0.74120.0069354464312.30989697297548
0.75120.5452584911882.57150177432834
0.76121.1495226617622.8582061719178
0.77121.824233820823.15672911714626
0.78122.5703253364293.44774241435288
0.79123.383946686493.70702429563806
0.8124.2555884608553.90781073147556
0.81125.1698383145384.02411954209257
0.82126.1060101013024.03539550659983
0.83127.0397559047043.93055603714376
0.84127.9455751574123.7114104575603
0.85128.7999167649143.39385051094475
0.86129.5843818074683.00629993576355
0.87130.2884259470752.586596694138
0.88130.9109696817652.17628112736428
0.89131.4604799545291.8147034745496
0.9131.9534193217361.53224245572697
0.91132.4114880366341.3436731636399
0.92132.8587304608421.24280060980957
0.93133.3199983006511.20726864052583
0.94133.8217645185091.21755779905152
0.95134.3941103489941.27389035814576
0.96135.0688165653471.38147660523612
0.97135.8642081739831.49974264859805
0.98136.746679169911.53392630536521
0.99137.575433766341.45420221350925

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 78.4424719414765 & 1.77057903989893 \tabularnewline
0.02 & 79.4982043925829 & 2.03229725345562 \tabularnewline
0.03 & 80.6792099098761 & 2.135703711365 \tabularnewline
0.04 & 81.8048890132872 & 2.09583302086853 \tabularnewline
0.05 & 82.814664724727 & 2.03832022065987 \tabularnewline
0.06 & 83.7117671903133 & 2.01259694000815 \tabularnewline
0.07 & 84.5171352256916 & 1.98984396063204 \tabularnewline
0.08 & 85.2477652317655 & 1.93676145240495 \tabularnewline
0.09 & 85.9131003836714 & 1.85175781604454 \tabularnewline
0.1 & 86.5194269617831 & 1.75834325017699 \tabularnewline
0.11 & 87.0746225915913 & 1.68627474974644 \tabularnewline
0.12 & 87.5900055857434 & 1.65712641105291 \tabularnewline
0.13 & 88.0794898550017 & 1.67928145296496 \tabularnewline
0.14 & 88.5575779463948 & 1.75082853475893 \tabularnewline
0.15 & 89.0374875731873 & 1.86390604992447 \tabularnewline
0.16 & 89.5299654948069 & 2.00852311829105 \tabularnewline
0.17 & 90.0427814282493 & 2.1737274744865 \tabularnewline
0.18 & 90.580683502299 & 2.34848445228953 \tabularnewline
0.19 & 91.1456192399538 & 2.52227220833746 \tabularnewline
0.2 & 91.7371171614071 & 2.68556255793478 \tabularnewline
0.21 & 92.352784595801 & 2.83114466358591 \tabularnewline
0.22 & 92.9888850846792 & 2.95441960591896 \tabularnewline
0.23 & 93.6409366325628 & 3.05378655316484 \tabularnewline
0.24 & 94.3042531598812 & 3.13021610437366 \tabularnewline
0.25 & 94.9743580004158 & 3.186601268899 \tabularnewline
0.26 & 95.6472336462688 & 3.22549165462784 \tabularnewline
0.27 & 96.319423210003 & 3.24928283573069 \tabularnewline
0.28 & 96.9880449668027 & 3.25970767071217 \tabularnewline
0.29 & 97.6508024411316 & 3.25817434314152 \tabularnewline
0.3 & 98.3060595776792 & 3.24646704280809 \tabularnewline
0.31 & 98.953008032811 & 3.22868394036028 \tabularnewline
0.32 & 99.5918974224956 & 3.21119812056473 \tabularnewline
0.33 & 100.224250252187 & 3.2028727901417 \tabularnewline
0.34 & 100.852959125005 & 3.21340628403557 \tabularnewline
0.35 & 101.482173691477 & 3.25148344316286 \tabularnewline
0.36 & 102.116926517835 & 3.32283110255835 \tabularnewline
0.37 & 102.762508883192 & 3.42765913937665 \tabularnewline
0.38 & 103.4236724327 & 3.5597264731089 \tabularnewline
0.39 & 104.103783443746 & 3.70709613558227 \tabularnewline
0.4 & 104.804080373048 & 3.85385989770469 \tabularnewline
0.41 & 105.523176616536 & 3.98186622441984 \tabularnewline
0.42 & 106.256911143982 & 4.07393143135294 \tabularnewline
0.43 & 106.998588723583 & 4.11617956976879 \tabularnewline
0.44 & 107.739582007709 & 4.09937845239156 \tabularnewline
0.45 & 108.470204213142 & 4.020669269681 \tabularnewline
0.46 & 109.1807160195 & 3.88316158748487 \tabularnewline
0.47 & 109.862311772194 & 3.69526866852845 \tabularnewline
0.48 & 110.507940449963 & 3.47026835431867 \tabularnewline
0.49 & 111.112852551392 & 3.22321129827413 \tabularnewline
0.5 & 111.674816676699 & 2.97017612546788 \tabularnewline
0.51 & 112.194007993492 & 2.72524936364516 \tabularnewline
0.52 & 112.672623578834 & 2.49987537379713 \tabularnewline
0.53 & 113.114317503308 & 2.30111629471019 \tabularnewline
0.54 & 113.523565929141 & 2.13212883305646 \tabularnewline
0.55 & 113.905068450018 & 1.99165330058236 \tabularnewline
0.56 & 114.263269725 & 1.87615533274642 \tabularnewline
0.57 & 114.602051658584 & 1.78004369729425 \tabularnewline
0.58 & 114.924608972464 & 1.69843658749508 \tabularnewline
0.59 & 115.233487714211 & 1.6268058280815 \tabularnewline
0.6 & 115.530742893145 & 1.5627452763157 \tabularnewline
0.61 & 115.818160996875 & 1.50554029984752 \tabularnewline
0.62 & 116.09749547596 & 1.45597150193954 \tabularnewline
0.63 & 116.370675589049 & 1.41570266602859 \tabularnewline
0.64 & 116.639966821185 & 1.38719415601239 \tabularnewline
0.65 & 116.908079520189 & 1.37302856370744 \tabularnewline
0.66 & 117.178237168494 & 1.37579715221954 \tabularnewline
0.67 & 117.454223869471 & 1.39783991872946 \tabularnewline
0.68 & 117.740430758879 & 1.4416110247889 \tabularnewline
0.69 & 118.04191310681 & 1.50951767338945 \tabularnewline
0.7 & 118.364454907405 & 1.60448961157186 \tabularnewline
0.71 & 118.714617815685 & 1.72949741821169 \tabularnewline
0.72 & 119.099729647243 & 1.8875455717284 \tabularnewline
0.73 & 119.527749188646 & 2.08088230802187 \tabularnewline
0.74 & 120.006935446431 & 2.30989697297548 \tabularnewline
0.75 & 120.545258491188 & 2.57150177432834 \tabularnewline
0.76 & 121.149522661762 & 2.8582061719178 \tabularnewline
0.77 & 121.82423382082 & 3.15672911714626 \tabularnewline
0.78 & 122.570325336429 & 3.44774241435288 \tabularnewline
0.79 & 123.38394668649 & 3.70702429563806 \tabularnewline
0.8 & 124.255588460855 & 3.90781073147556 \tabularnewline
0.81 & 125.169838314538 & 4.02411954209257 \tabularnewline
0.82 & 126.106010101302 & 4.03539550659983 \tabularnewline
0.83 & 127.039755904704 & 3.93055603714376 \tabularnewline
0.84 & 127.945575157412 & 3.7114104575603 \tabularnewline
0.85 & 128.799916764914 & 3.39385051094475 \tabularnewline
0.86 & 129.584381807468 & 3.00629993576355 \tabularnewline
0.87 & 130.288425947075 & 2.586596694138 \tabularnewline
0.88 & 130.910969681765 & 2.17628112736428 \tabularnewline
0.89 & 131.460479954529 & 1.8147034745496 \tabularnewline
0.9 & 131.953419321736 & 1.53224245572697 \tabularnewline
0.91 & 132.411488036634 & 1.3436731636399 \tabularnewline
0.92 & 132.858730460842 & 1.24280060980957 \tabularnewline
0.93 & 133.319998300651 & 1.20726864052583 \tabularnewline
0.94 & 133.821764518509 & 1.21755779905152 \tabularnewline
0.95 & 134.394110348994 & 1.27389035814576 \tabularnewline
0.96 & 135.068816565347 & 1.38147660523612 \tabularnewline
0.97 & 135.864208173983 & 1.49974264859805 \tabularnewline
0.98 & 136.74667916991 & 1.53392630536521 \tabularnewline
0.99 & 137.57543376634 & 1.45420221350925 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239173&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]78.4424719414765[/C][C]1.77057903989893[/C][/ROW]
[ROW][C]0.02[/C][C]79.4982043925829[/C][C]2.03229725345562[/C][/ROW]
[ROW][C]0.03[/C][C]80.6792099098761[/C][C]2.135703711365[/C][/ROW]
[ROW][C]0.04[/C][C]81.8048890132872[/C][C]2.09583302086853[/C][/ROW]
[ROW][C]0.05[/C][C]82.814664724727[/C][C]2.03832022065987[/C][/ROW]
[ROW][C]0.06[/C][C]83.7117671903133[/C][C]2.01259694000815[/C][/ROW]
[ROW][C]0.07[/C][C]84.5171352256916[/C][C]1.98984396063204[/C][/ROW]
[ROW][C]0.08[/C][C]85.2477652317655[/C][C]1.93676145240495[/C][/ROW]
[ROW][C]0.09[/C][C]85.9131003836714[/C][C]1.85175781604454[/C][/ROW]
[ROW][C]0.1[/C][C]86.5194269617831[/C][C]1.75834325017699[/C][/ROW]
[ROW][C]0.11[/C][C]87.0746225915913[/C][C]1.68627474974644[/C][/ROW]
[ROW][C]0.12[/C][C]87.5900055857434[/C][C]1.65712641105291[/C][/ROW]
[ROW][C]0.13[/C][C]88.0794898550017[/C][C]1.67928145296496[/C][/ROW]
[ROW][C]0.14[/C][C]88.5575779463948[/C][C]1.75082853475893[/C][/ROW]
[ROW][C]0.15[/C][C]89.0374875731873[/C][C]1.86390604992447[/C][/ROW]
[ROW][C]0.16[/C][C]89.5299654948069[/C][C]2.00852311829105[/C][/ROW]
[ROW][C]0.17[/C][C]90.0427814282493[/C][C]2.1737274744865[/C][/ROW]
[ROW][C]0.18[/C][C]90.580683502299[/C][C]2.34848445228953[/C][/ROW]
[ROW][C]0.19[/C][C]91.1456192399538[/C][C]2.52227220833746[/C][/ROW]
[ROW][C]0.2[/C][C]91.7371171614071[/C][C]2.68556255793478[/C][/ROW]
[ROW][C]0.21[/C][C]92.352784595801[/C][C]2.83114466358591[/C][/ROW]
[ROW][C]0.22[/C][C]92.9888850846792[/C][C]2.95441960591896[/C][/ROW]
[ROW][C]0.23[/C][C]93.6409366325628[/C][C]3.05378655316484[/C][/ROW]
[ROW][C]0.24[/C][C]94.3042531598812[/C][C]3.13021610437366[/C][/ROW]
[ROW][C]0.25[/C][C]94.9743580004158[/C][C]3.186601268899[/C][/ROW]
[ROW][C]0.26[/C][C]95.6472336462688[/C][C]3.22549165462784[/C][/ROW]
[ROW][C]0.27[/C][C]96.319423210003[/C][C]3.24928283573069[/C][/ROW]
[ROW][C]0.28[/C][C]96.9880449668027[/C][C]3.25970767071217[/C][/ROW]
[ROW][C]0.29[/C][C]97.6508024411316[/C][C]3.25817434314152[/C][/ROW]
[ROW][C]0.3[/C][C]98.3060595776792[/C][C]3.24646704280809[/C][/ROW]
[ROW][C]0.31[/C][C]98.953008032811[/C][C]3.22868394036028[/C][/ROW]
[ROW][C]0.32[/C][C]99.5918974224956[/C][C]3.21119812056473[/C][/ROW]
[ROW][C]0.33[/C][C]100.224250252187[/C][C]3.2028727901417[/C][/ROW]
[ROW][C]0.34[/C][C]100.852959125005[/C][C]3.21340628403557[/C][/ROW]
[ROW][C]0.35[/C][C]101.482173691477[/C][C]3.25148344316286[/C][/ROW]
[ROW][C]0.36[/C][C]102.116926517835[/C][C]3.32283110255835[/C][/ROW]
[ROW][C]0.37[/C][C]102.762508883192[/C][C]3.42765913937665[/C][/ROW]
[ROW][C]0.38[/C][C]103.4236724327[/C][C]3.5597264731089[/C][/ROW]
[ROW][C]0.39[/C][C]104.103783443746[/C][C]3.70709613558227[/C][/ROW]
[ROW][C]0.4[/C][C]104.804080373048[/C][C]3.85385989770469[/C][/ROW]
[ROW][C]0.41[/C][C]105.523176616536[/C][C]3.98186622441984[/C][/ROW]
[ROW][C]0.42[/C][C]106.256911143982[/C][C]4.07393143135294[/C][/ROW]
[ROW][C]0.43[/C][C]106.998588723583[/C][C]4.11617956976879[/C][/ROW]
[ROW][C]0.44[/C][C]107.739582007709[/C][C]4.09937845239156[/C][/ROW]
[ROW][C]0.45[/C][C]108.470204213142[/C][C]4.020669269681[/C][/ROW]
[ROW][C]0.46[/C][C]109.1807160195[/C][C]3.88316158748487[/C][/ROW]
[ROW][C]0.47[/C][C]109.862311772194[/C][C]3.69526866852845[/C][/ROW]
[ROW][C]0.48[/C][C]110.507940449963[/C][C]3.47026835431867[/C][/ROW]
[ROW][C]0.49[/C][C]111.112852551392[/C][C]3.22321129827413[/C][/ROW]
[ROW][C]0.5[/C][C]111.674816676699[/C][C]2.97017612546788[/C][/ROW]
[ROW][C]0.51[/C][C]112.194007993492[/C][C]2.72524936364516[/C][/ROW]
[ROW][C]0.52[/C][C]112.672623578834[/C][C]2.49987537379713[/C][/ROW]
[ROW][C]0.53[/C][C]113.114317503308[/C][C]2.30111629471019[/C][/ROW]
[ROW][C]0.54[/C][C]113.523565929141[/C][C]2.13212883305646[/C][/ROW]
[ROW][C]0.55[/C][C]113.905068450018[/C][C]1.99165330058236[/C][/ROW]
[ROW][C]0.56[/C][C]114.263269725[/C][C]1.87615533274642[/C][/ROW]
[ROW][C]0.57[/C][C]114.602051658584[/C][C]1.78004369729425[/C][/ROW]
[ROW][C]0.58[/C][C]114.924608972464[/C][C]1.69843658749508[/C][/ROW]
[ROW][C]0.59[/C][C]115.233487714211[/C][C]1.6268058280815[/C][/ROW]
[ROW][C]0.6[/C][C]115.530742893145[/C][C]1.5627452763157[/C][/ROW]
[ROW][C]0.61[/C][C]115.818160996875[/C][C]1.50554029984752[/C][/ROW]
[ROW][C]0.62[/C][C]116.09749547596[/C][C]1.45597150193954[/C][/ROW]
[ROW][C]0.63[/C][C]116.370675589049[/C][C]1.41570266602859[/C][/ROW]
[ROW][C]0.64[/C][C]116.639966821185[/C][C]1.38719415601239[/C][/ROW]
[ROW][C]0.65[/C][C]116.908079520189[/C][C]1.37302856370744[/C][/ROW]
[ROW][C]0.66[/C][C]117.178237168494[/C][C]1.37579715221954[/C][/ROW]
[ROW][C]0.67[/C][C]117.454223869471[/C][C]1.39783991872946[/C][/ROW]
[ROW][C]0.68[/C][C]117.740430758879[/C][C]1.4416110247889[/C][/ROW]
[ROW][C]0.69[/C][C]118.04191310681[/C][C]1.50951767338945[/C][/ROW]
[ROW][C]0.7[/C][C]118.364454907405[/C][C]1.60448961157186[/C][/ROW]
[ROW][C]0.71[/C][C]118.714617815685[/C][C]1.72949741821169[/C][/ROW]
[ROW][C]0.72[/C][C]119.099729647243[/C][C]1.8875455717284[/C][/ROW]
[ROW][C]0.73[/C][C]119.527749188646[/C][C]2.08088230802187[/C][/ROW]
[ROW][C]0.74[/C][C]120.006935446431[/C][C]2.30989697297548[/C][/ROW]
[ROW][C]0.75[/C][C]120.545258491188[/C][C]2.57150177432834[/C][/ROW]
[ROW][C]0.76[/C][C]121.149522661762[/C][C]2.8582061719178[/C][/ROW]
[ROW][C]0.77[/C][C]121.82423382082[/C][C]3.15672911714626[/C][/ROW]
[ROW][C]0.78[/C][C]122.570325336429[/C][C]3.44774241435288[/C][/ROW]
[ROW][C]0.79[/C][C]123.38394668649[/C][C]3.70702429563806[/C][/ROW]
[ROW][C]0.8[/C][C]124.255588460855[/C][C]3.90781073147556[/C][/ROW]
[ROW][C]0.81[/C][C]125.169838314538[/C][C]4.02411954209257[/C][/ROW]
[ROW][C]0.82[/C][C]126.106010101302[/C][C]4.03539550659983[/C][/ROW]
[ROW][C]0.83[/C][C]127.039755904704[/C][C]3.93055603714376[/C][/ROW]
[ROW][C]0.84[/C][C]127.945575157412[/C][C]3.7114104575603[/C][/ROW]
[ROW][C]0.85[/C][C]128.799916764914[/C][C]3.39385051094475[/C][/ROW]
[ROW][C]0.86[/C][C]129.584381807468[/C][C]3.00629993576355[/C][/ROW]
[ROW][C]0.87[/C][C]130.288425947075[/C][C]2.586596694138[/C][/ROW]
[ROW][C]0.88[/C][C]130.910969681765[/C][C]2.17628112736428[/C][/ROW]
[ROW][C]0.89[/C][C]131.460479954529[/C][C]1.8147034745496[/C][/ROW]
[ROW][C]0.9[/C][C]131.953419321736[/C][C]1.53224245572697[/C][/ROW]
[ROW][C]0.91[/C][C]132.411488036634[/C][C]1.3436731636399[/C][/ROW]
[ROW][C]0.92[/C][C]132.858730460842[/C][C]1.24280060980957[/C][/ROW]
[ROW][C]0.93[/C][C]133.319998300651[/C][C]1.20726864052583[/C][/ROW]
[ROW][C]0.94[/C][C]133.821764518509[/C][C]1.21755779905152[/C][/ROW]
[ROW][C]0.95[/C][C]134.394110348994[/C][C]1.27389035814576[/C][/ROW]
[ROW][C]0.96[/C][C]135.068816565347[/C][C]1.38147660523612[/C][/ROW]
[ROW][C]0.97[/C][C]135.864208173983[/C][C]1.49974264859805[/C][/ROW]
[ROW][C]0.98[/C][C]136.74667916991[/C][C]1.53392630536521[/C][/ROW]
[ROW][C]0.99[/C][C]137.57543376634[/C][C]1.45420221350925[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239173&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239173&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
0.0178.44247194147651.77057903989893
0.0279.49820439258292.03229725345562
0.0380.67920990987612.135703711365
0.0481.80488901328722.09583302086853
0.0582.8146647247272.03832022065987
0.0683.71176719031332.01259694000815
0.0784.51713522569161.98984396063204
0.0885.24776523176551.93676145240495
0.0985.91310038367141.85175781604454
0.186.51942696178311.75834325017699
0.1187.07462259159131.68627474974644
0.1287.59000558574341.65712641105291
0.1388.07948985500171.67928145296496
0.1488.55757794639481.75082853475893
0.1589.03748757318731.86390604992447
0.1689.52996549480692.00852311829105
0.1790.04278142824932.1737274744865
0.1890.5806835022992.34848445228953
0.1991.14561923995382.52227220833746
0.291.73711716140712.68556255793478
0.2192.3527845958012.83114466358591
0.2292.98888508467922.95441960591896
0.2393.64093663256283.05378655316484
0.2494.30425315988123.13021610437366
0.2594.97435800041583.186601268899
0.2695.64723364626883.22549165462784
0.2796.3194232100033.24928283573069
0.2896.98804496680273.25970767071217
0.2997.65080244113163.25817434314152
0.398.30605957767923.24646704280809
0.3198.9530080328113.22868394036028
0.3299.59189742249563.21119812056473
0.33100.2242502521873.2028727901417
0.34100.8529591250053.21340628403557
0.35101.4821736914773.25148344316286
0.36102.1169265178353.32283110255835
0.37102.7625088831923.42765913937665
0.38103.42367243273.5597264731089
0.39104.1037834437463.70709613558227
0.4104.8040803730483.85385989770469
0.41105.5231766165363.98186622441984
0.42106.2569111439824.07393143135294
0.43106.9985887235834.11617956976879
0.44107.7395820077094.09937845239156
0.45108.4702042131424.020669269681
0.46109.18071601953.88316158748487
0.47109.8623117721943.69526866852845
0.48110.5079404499633.47026835431867
0.49111.1128525513923.22321129827413
0.5111.6748166766992.97017612546788
0.51112.1940079934922.72524936364516
0.52112.6726235788342.49987537379713
0.53113.1143175033082.30111629471019
0.54113.5235659291412.13212883305646
0.55113.9050684500181.99165330058236
0.56114.2632697251.87615533274642
0.57114.6020516585841.78004369729425
0.58114.9246089724641.69843658749508
0.59115.2334877142111.6268058280815
0.6115.5307428931451.5627452763157
0.61115.8181609968751.50554029984752
0.62116.097495475961.45597150193954
0.63116.3706755890491.41570266602859
0.64116.6399668211851.38719415601239
0.65116.9080795201891.37302856370744
0.66117.1782371684941.37579715221954
0.67117.4542238694711.39783991872946
0.68117.7404307588791.4416110247889
0.69118.041913106811.50951767338945
0.7118.3644549074051.60448961157186
0.71118.7146178156851.72949741821169
0.72119.0997296472431.8875455717284
0.73119.5277491886462.08088230802187
0.74120.0069354464312.30989697297548
0.75120.5452584911882.57150177432834
0.76121.1495226617622.8582061719178
0.77121.824233820823.15672911714626
0.78122.5703253364293.44774241435288
0.79123.383946686493.70702429563806
0.8124.2555884608553.90781073147556
0.81125.1698383145384.02411954209257
0.82126.1060101013024.03539550659983
0.83127.0397559047043.93055603714376
0.84127.9455751574123.7114104575603
0.85128.7999167649143.39385051094475
0.86129.5843818074683.00629993576355
0.87130.2884259470752.586596694138
0.88130.9109696817652.17628112736428
0.89131.4604799545291.8147034745496
0.9131.9534193217361.53224245572697
0.91132.4114880366341.3436731636399
0.92132.8587304608421.24280060980957
0.93133.3199983006511.20726864052583
0.94133.8217645185091.21755779905152
0.95134.3941103489941.27389035814576
0.96135.0688165653471.38147660523612
0.97135.8642081739831.49974264859805
0.98136.746679169911.53392630536521
0.99137.575433766341.45420221350925


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):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')