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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 06 Dec 2007 07:42:29 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/06/t1196951445cwazobr77fym673.htm/, Retrieved Fri, 03 May 2024 12:56:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2633, Retrieved Fri, 03 May 2024 12:56:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact159

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] [HARELL DAVIS] [2007-12-06 14:42:29] [6d644d07a16de69cd360f404f1ea3fa3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
18.33
22.6
24.9
24.8
23.8
25.1
26
27.4
27.3
24.3
28.4
24.4
30.3
31.5
29.8
25.3
25.6
26.7
27.4
28.6
26.3
28.5
28.4
29.4
30.3
29.6
32.1
32.4
36.3
34.6
36.3
40.3
40.4
45.4
39
35.7
40.2
41.7
49.1
49.6
47
52
53.1
57.8
57.9
54.6
51.3
52.7
58.5
56.6
57.9
64.4
65.1
64.6
68.9
68.8
59.3
55
55.4
58
50.8
54.6
58.6
63.6
64.5
66.9
71.9
68.7
74.2
75.8

Tables (Output of Computation)





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

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2633&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2633&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2633&T=0

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


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

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






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0119.460705524993.43990142388266
0.0220.97600703309712.43977463004117
0.0322.28842140199271.61828654381750
0.0423.20959163995511.08343326074182
0.0523.80383127174340.774578963585849
0.0624.19158066068210.611897292216727
0.0724.46582257974670.539959326167624
0.0824.68279239398750.523793695625721
0.0924.87379829644290.54243485834135
0.125.0561524614840.583853596006873
0.1125.2395722247990.639906395048882
0.1225.42940380710440.703711708072208
0.1325.62819103353000.76904258748064
0.1425.83650942203650.830546233474369
0.1526.05353157520700.884265378955315
0.1626.27751758490910.927878024973496
0.1726.50627533171080.960770283420133
0.1826.73757098169040.98377953403818
0.1926.96945820763530.998901185548541
0.227.20050836193091.00884529108190
0.2127.42994346035801.01677922420614
0.2227.65768881795051.02591840463237
0.2327.88436896276041.03954478063301
0.2428.11126972644681.06081555771881
0.2528.34028374653521.09284459790120
0.2628.57384888398411.13859397880049
0.2728.81488154337871.20072737351299
0.2829.06670101849311.2815194388094
0.2929.33293755159821.38281082041081
0.329.61741623095361.50566554730712
0.3129.92401140660921.65012558462949
0.3230.25647189406531.81517516313828
0.3330.61822513557911.99839018990859
0.3431.01217715749882.19616104223870
0.3531.44053239856862.40375721384863
0.3631.90466096067802.61585899500977
0.3732.40503880596322.82693350358175
0.3832.94127833670263.03211047192861
0.3933.51225354139053.22742687078775
0.434.11630765899493.41064890554129
0.4134.75151509983143.58109277640787
0.4235.41595634739413.74007315658964
0.4336.10795753486783.8901139742996
0.4436.82624728226214.0346833536929
0.4537.56999298175754.17696320012263
0.4638.33869645280124.3192166916926
0.4739.1319526887564.46159244996828
0.4839.94910175500934.60171696671086
0.4940.78882808929014.73407844639171
0.541.64877835318844.85085544332903
0.5142.52527406039754.94248067240378
0.5243.41318580432174.99911567695827
0.5344.30601230023535.01213845602937
0.5445.19617329328534.97559898525965
0.5546.07548720579914.88705101842854
0.5646.93577022966834.74830168124815
0.5747.76947090353854.56524289137746
0.5848.57024799004874.34714298297189
0.5949.3334107090054.10550153841096
0.650.05616596094863.85279005062573
0.6150.73765081381573.60077824398065
0.6251.3787627047373.35975445094812
0.6351.98182794758563.13728335653744
0.6452.55016729108732.93799920654874
0.6553.08762479100912.76343383807147
0.6653.59812519609282.61255110871485
0.6754.08531859120612.48226690579575
0.6854.55236161870252.36839796352691
0.6955.0018724454072.26650050671436
0.755.43607954066472.17318610337863
0.7155.85715882073462.08701501687914
0.7256.2677175445772.00959262996237
0.7356.67133839442741.94601549377739
0.7457.07305170238991.90511667319265
0.7557.47957276926551.89768960785647
0.7657.89914376403851.93415002992871
0.7758.34087310242252.02002127780252
0.7858.81357644604662.15179286520648
0.7959.32428012686412.31559883788027
0.859.87671239469182.48878524617055
0.8160.47022036547822.64411788981708
0.8261.09954323333882.75563430012164
0.8361.75569773545622.80487297714699
0.8462.42789733907372.78586163474921
0.8563.10602112892982.70770463427454
0.8663.78284159943482.59238028288228
0.8764.45521552816162.46762170017108
0.8865.12387591319382.35602161481302
0.8965.79227659624412.26521706575971
0.966.46577769103972.18778877475281
0.9167.15268978512862.11375689717198
0.9267.86768220278622.05090638149786
0.9368.63571247413232.03618109784941
0.9469.4920283325522.11606060260003
0.9570.4732081847582.28758391958854
0.9671.59748158442112.45321984813898
0.9772.83782702140132.45546107402033
0.9874.09316428037222.19640035331003
0.9975.16676864439881.80163252681114

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 19.46070552499 & 3.43990142388266 \tabularnewline
0.02 & 20.9760070330971 & 2.43977463004117 \tabularnewline
0.03 & 22.2884214019927 & 1.61828654381750 \tabularnewline
0.04 & 23.2095916399551 & 1.08343326074182 \tabularnewline
0.05 & 23.8038312717434 & 0.774578963585849 \tabularnewline
0.06 & 24.1915806606821 & 0.611897292216727 \tabularnewline
0.07 & 24.4658225797467 & 0.539959326167624 \tabularnewline
0.08 & 24.6827923939875 & 0.523793695625721 \tabularnewline
0.09 & 24.8737982964429 & 0.54243485834135 \tabularnewline
0.1 & 25.056152461484 & 0.583853596006873 \tabularnewline
0.11 & 25.239572224799 & 0.639906395048882 \tabularnewline
0.12 & 25.4294038071044 & 0.703711708072208 \tabularnewline
0.13 & 25.6281910335300 & 0.76904258748064 \tabularnewline
0.14 & 25.8365094220365 & 0.830546233474369 \tabularnewline
0.15 & 26.0535315752070 & 0.884265378955315 \tabularnewline
0.16 & 26.2775175849091 & 0.927878024973496 \tabularnewline
0.17 & 26.5062753317108 & 0.960770283420133 \tabularnewline
0.18 & 26.7375709816904 & 0.98377953403818 \tabularnewline
0.19 & 26.9694582076353 & 0.998901185548541 \tabularnewline
0.2 & 27.2005083619309 & 1.00884529108190 \tabularnewline
0.21 & 27.4299434603580 & 1.01677922420614 \tabularnewline
0.22 & 27.6576888179505 & 1.02591840463237 \tabularnewline
0.23 & 27.8843689627604 & 1.03954478063301 \tabularnewline
0.24 & 28.1112697264468 & 1.06081555771881 \tabularnewline
0.25 & 28.3402837465352 & 1.09284459790120 \tabularnewline
0.26 & 28.5738488839841 & 1.13859397880049 \tabularnewline
0.27 & 28.8148815433787 & 1.20072737351299 \tabularnewline
0.28 & 29.0667010184931 & 1.2815194388094 \tabularnewline
0.29 & 29.3329375515982 & 1.38281082041081 \tabularnewline
0.3 & 29.6174162309536 & 1.50566554730712 \tabularnewline
0.31 & 29.9240114066092 & 1.65012558462949 \tabularnewline
0.32 & 30.2564718940653 & 1.81517516313828 \tabularnewline
0.33 & 30.6182251355791 & 1.99839018990859 \tabularnewline
0.34 & 31.0121771574988 & 2.19616104223870 \tabularnewline
0.35 & 31.4405323985686 & 2.40375721384863 \tabularnewline
0.36 & 31.9046609606780 & 2.61585899500977 \tabularnewline
0.37 & 32.4050388059632 & 2.82693350358175 \tabularnewline
0.38 & 32.9412783367026 & 3.03211047192861 \tabularnewline
0.39 & 33.5122535413905 & 3.22742687078775 \tabularnewline
0.4 & 34.1163076589949 & 3.41064890554129 \tabularnewline
0.41 & 34.7515150998314 & 3.58109277640787 \tabularnewline
0.42 & 35.4159563473941 & 3.74007315658964 \tabularnewline
0.43 & 36.1079575348678 & 3.8901139742996 \tabularnewline
0.44 & 36.8262472822621 & 4.0346833536929 \tabularnewline
0.45 & 37.5699929817575 & 4.17696320012263 \tabularnewline
0.46 & 38.3386964528012 & 4.3192166916926 \tabularnewline
0.47 & 39.131952688756 & 4.46159244996828 \tabularnewline
0.48 & 39.9491017550093 & 4.60171696671086 \tabularnewline
0.49 & 40.7888280892901 & 4.73407844639171 \tabularnewline
0.5 & 41.6487783531884 & 4.85085544332903 \tabularnewline
0.51 & 42.5252740603975 & 4.94248067240378 \tabularnewline
0.52 & 43.4131858043217 & 4.99911567695827 \tabularnewline
0.53 & 44.3060123002353 & 5.01213845602937 \tabularnewline
0.54 & 45.1961732932853 & 4.97559898525965 \tabularnewline
0.55 & 46.0754872057991 & 4.88705101842854 \tabularnewline
0.56 & 46.9357702296683 & 4.74830168124815 \tabularnewline
0.57 & 47.7694709035385 & 4.56524289137746 \tabularnewline
0.58 & 48.5702479900487 & 4.34714298297189 \tabularnewline
0.59 & 49.333410709005 & 4.10550153841096 \tabularnewline
0.6 & 50.0561659609486 & 3.85279005062573 \tabularnewline
0.61 & 50.7376508138157 & 3.60077824398065 \tabularnewline
0.62 & 51.378762704737 & 3.35975445094812 \tabularnewline
0.63 & 51.9818279475856 & 3.13728335653744 \tabularnewline
0.64 & 52.5501672910873 & 2.93799920654874 \tabularnewline
0.65 & 53.0876247910091 & 2.76343383807147 \tabularnewline
0.66 & 53.5981251960928 & 2.61255110871485 \tabularnewline
0.67 & 54.0853185912061 & 2.48226690579575 \tabularnewline
0.68 & 54.5523616187025 & 2.36839796352691 \tabularnewline
0.69 & 55.001872445407 & 2.26650050671436 \tabularnewline
0.7 & 55.4360795406647 & 2.17318610337863 \tabularnewline
0.71 & 55.8571588207346 & 2.08701501687914 \tabularnewline
0.72 & 56.267717544577 & 2.00959262996237 \tabularnewline
0.73 & 56.6713383944274 & 1.94601549377739 \tabularnewline
0.74 & 57.0730517023899 & 1.90511667319265 \tabularnewline
0.75 & 57.4795727692655 & 1.89768960785647 \tabularnewline
0.76 & 57.8991437640385 & 1.93415002992871 \tabularnewline
0.77 & 58.3408731024225 & 2.02002127780252 \tabularnewline
0.78 & 58.8135764460466 & 2.15179286520648 \tabularnewline
0.79 & 59.3242801268641 & 2.31559883788027 \tabularnewline
0.8 & 59.8767123946918 & 2.48878524617055 \tabularnewline
0.81 & 60.4702203654782 & 2.64411788981708 \tabularnewline
0.82 & 61.0995432333388 & 2.75563430012164 \tabularnewline
0.83 & 61.7556977354562 & 2.80487297714699 \tabularnewline
0.84 & 62.4278973390737 & 2.78586163474921 \tabularnewline
0.85 & 63.1060211289298 & 2.70770463427454 \tabularnewline
0.86 & 63.7828415994348 & 2.59238028288228 \tabularnewline
0.87 & 64.4552155281616 & 2.46762170017108 \tabularnewline
0.88 & 65.1238759131938 & 2.35602161481302 \tabularnewline
0.89 & 65.7922765962441 & 2.26521706575971 \tabularnewline
0.9 & 66.4657776910397 & 2.18778877475281 \tabularnewline
0.91 & 67.1526897851286 & 2.11375689717198 \tabularnewline
0.92 & 67.8676822027862 & 2.05090638149786 \tabularnewline
0.93 & 68.6357124741323 & 2.03618109784941 \tabularnewline
0.94 & 69.492028332552 & 2.11606060260003 \tabularnewline
0.95 & 70.473208184758 & 2.28758391958854 \tabularnewline
0.96 & 71.5974815844211 & 2.45321984813898 \tabularnewline
0.97 & 72.8378270214013 & 2.45546107402033 \tabularnewline
0.98 & 74.0931642803722 & 2.19640035331003 \tabularnewline
0.99 & 75.1667686443988 & 1.80163252681114 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2633&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]19.46070552499[/C][C]3.43990142388266[/C][/ROW]
[ROW][C]0.02[/C][C]20.9760070330971[/C][C]2.43977463004117[/C][/ROW]
[ROW][C]0.03[/C][C]22.2884214019927[/C][C]1.61828654381750[/C][/ROW]
[ROW][C]0.04[/C][C]23.2095916399551[/C][C]1.08343326074182[/C][/ROW]
[ROW][C]0.05[/C][C]23.8038312717434[/C][C]0.774578963585849[/C][/ROW]
[ROW][C]0.06[/C][C]24.1915806606821[/C][C]0.611897292216727[/C][/ROW]
[ROW][C]0.07[/C][C]24.4658225797467[/C][C]0.539959326167624[/C][/ROW]
[ROW][C]0.08[/C][C]24.6827923939875[/C][C]0.523793695625721[/C][/ROW]
[ROW][C]0.09[/C][C]24.8737982964429[/C][C]0.54243485834135[/C][/ROW]
[ROW][C]0.1[/C][C]25.056152461484[/C][C]0.583853596006873[/C][/ROW]
[ROW][C]0.11[/C][C]25.239572224799[/C][C]0.639906395048882[/C][/ROW]
[ROW][C]0.12[/C][C]25.4294038071044[/C][C]0.703711708072208[/C][/ROW]
[ROW][C]0.13[/C][C]25.6281910335300[/C][C]0.76904258748064[/C][/ROW]
[ROW][C]0.14[/C][C]25.8365094220365[/C][C]0.830546233474369[/C][/ROW]
[ROW][C]0.15[/C][C]26.0535315752070[/C][C]0.884265378955315[/C][/ROW]
[ROW][C]0.16[/C][C]26.2775175849091[/C][C]0.927878024973496[/C][/ROW]
[ROW][C]0.17[/C][C]26.5062753317108[/C][C]0.960770283420133[/C][/ROW]
[ROW][C]0.18[/C][C]26.7375709816904[/C][C]0.98377953403818[/C][/ROW]
[ROW][C]0.19[/C][C]26.9694582076353[/C][C]0.998901185548541[/C][/ROW]
[ROW][C]0.2[/C][C]27.2005083619309[/C][C]1.00884529108190[/C][/ROW]
[ROW][C]0.21[/C][C]27.4299434603580[/C][C]1.01677922420614[/C][/ROW]
[ROW][C]0.22[/C][C]27.6576888179505[/C][C]1.02591840463237[/C][/ROW]
[ROW][C]0.23[/C][C]27.8843689627604[/C][C]1.03954478063301[/C][/ROW]
[ROW][C]0.24[/C][C]28.1112697264468[/C][C]1.06081555771881[/C][/ROW]
[ROW][C]0.25[/C][C]28.3402837465352[/C][C]1.09284459790120[/C][/ROW]
[ROW][C]0.26[/C][C]28.5738488839841[/C][C]1.13859397880049[/C][/ROW]
[ROW][C]0.27[/C][C]28.8148815433787[/C][C]1.20072737351299[/C][/ROW]
[ROW][C]0.28[/C][C]29.0667010184931[/C][C]1.2815194388094[/C][/ROW]
[ROW][C]0.29[/C][C]29.3329375515982[/C][C]1.38281082041081[/C][/ROW]
[ROW][C]0.3[/C][C]29.6174162309536[/C][C]1.50566554730712[/C][/ROW]
[ROW][C]0.31[/C][C]29.9240114066092[/C][C]1.65012558462949[/C][/ROW]
[ROW][C]0.32[/C][C]30.2564718940653[/C][C]1.81517516313828[/C][/ROW]
[ROW][C]0.33[/C][C]30.6182251355791[/C][C]1.99839018990859[/C][/ROW]
[ROW][C]0.34[/C][C]31.0121771574988[/C][C]2.19616104223870[/C][/ROW]
[ROW][C]0.35[/C][C]31.4405323985686[/C][C]2.40375721384863[/C][/ROW]
[ROW][C]0.36[/C][C]31.9046609606780[/C][C]2.61585899500977[/C][/ROW]
[ROW][C]0.37[/C][C]32.4050388059632[/C][C]2.82693350358175[/C][/ROW]
[ROW][C]0.38[/C][C]32.9412783367026[/C][C]3.03211047192861[/C][/ROW]
[ROW][C]0.39[/C][C]33.5122535413905[/C][C]3.22742687078775[/C][/ROW]
[ROW][C]0.4[/C][C]34.1163076589949[/C][C]3.41064890554129[/C][/ROW]
[ROW][C]0.41[/C][C]34.7515150998314[/C][C]3.58109277640787[/C][/ROW]
[ROW][C]0.42[/C][C]35.4159563473941[/C][C]3.74007315658964[/C][/ROW]
[ROW][C]0.43[/C][C]36.1079575348678[/C][C]3.8901139742996[/C][/ROW]
[ROW][C]0.44[/C][C]36.8262472822621[/C][C]4.0346833536929[/C][/ROW]
[ROW][C]0.45[/C][C]37.5699929817575[/C][C]4.17696320012263[/C][/ROW]
[ROW][C]0.46[/C][C]38.3386964528012[/C][C]4.3192166916926[/C][/ROW]
[ROW][C]0.47[/C][C]39.131952688756[/C][C]4.46159244996828[/C][/ROW]
[ROW][C]0.48[/C][C]39.9491017550093[/C][C]4.60171696671086[/C][/ROW]
[ROW][C]0.49[/C][C]40.7888280892901[/C][C]4.73407844639171[/C][/ROW]
[ROW][C]0.5[/C][C]41.6487783531884[/C][C]4.85085544332903[/C][/ROW]
[ROW][C]0.51[/C][C]42.5252740603975[/C][C]4.94248067240378[/C][/ROW]
[ROW][C]0.52[/C][C]43.4131858043217[/C][C]4.99911567695827[/C][/ROW]
[ROW][C]0.53[/C][C]44.3060123002353[/C][C]5.01213845602937[/C][/ROW]
[ROW][C]0.54[/C][C]45.1961732932853[/C][C]4.97559898525965[/C][/ROW]
[ROW][C]0.55[/C][C]46.0754872057991[/C][C]4.88705101842854[/C][/ROW]
[ROW][C]0.56[/C][C]46.9357702296683[/C][C]4.74830168124815[/C][/ROW]
[ROW][C]0.57[/C][C]47.7694709035385[/C][C]4.56524289137746[/C][/ROW]
[ROW][C]0.58[/C][C]48.5702479900487[/C][C]4.34714298297189[/C][/ROW]
[ROW][C]0.59[/C][C]49.333410709005[/C][C]4.10550153841096[/C][/ROW]
[ROW][C]0.6[/C][C]50.0561659609486[/C][C]3.85279005062573[/C][/ROW]
[ROW][C]0.61[/C][C]50.7376508138157[/C][C]3.60077824398065[/C][/ROW]
[ROW][C]0.62[/C][C]51.378762704737[/C][C]3.35975445094812[/C][/ROW]
[ROW][C]0.63[/C][C]51.9818279475856[/C][C]3.13728335653744[/C][/ROW]
[ROW][C]0.64[/C][C]52.5501672910873[/C][C]2.93799920654874[/C][/ROW]
[ROW][C]0.65[/C][C]53.0876247910091[/C][C]2.76343383807147[/C][/ROW]
[ROW][C]0.66[/C][C]53.5981251960928[/C][C]2.61255110871485[/C][/ROW]
[ROW][C]0.67[/C][C]54.0853185912061[/C][C]2.48226690579575[/C][/ROW]
[ROW][C]0.68[/C][C]54.5523616187025[/C][C]2.36839796352691[/C][/ROW]
[ROW][C]0.69[/C][C]55.001872445407[/C][C]2.26650050671436[/C][/ROW]
[ROW][C]0.7[/C][C]55.4360795406647[/C][C]2.17318610337863[/C][/ROW]
[ROW][C]0.71[/C][C]55.8571588207346[/C][C]2.08701501687914[/C][/ROW]
[ROW][C]0.72[/C][C]56.267717544577[/C][C]2.00959262996237[/C][/ROW]
[ROW][C]0.73[/C][C]56.6713383944274[/C][C]1.94601549377739[/C][/ROW]
[ROW][C]0.74[/C][C]57.0730517023899[/C][C]1.90511667319265[/C][/ROW]
[ROW][C]0.75[/C][C]57.4795727692655[/C][C]1.89768960785647[/C][/ROW]
[ROW][C]0.76[/C][C]57.8991437640385[/C][C]1.93415002992871[/C][/ROW]
[ROW][C]0.77[/C][C]58.3408731024225[/C][C]2.02002127780252[/C][/ROW]
[ROW][C]0.78[/C][C]58.8135764460466[/C][C]2.15179286520648[/C][/ROW]
[ROW][C]0.79[/C][C]59.3242801268641[/C][C]2.31559883788027[/C][/ROW]
[ROW][C]0.8[/C][C]59.8767123946918[/C][C]2.48878524617055[/C][/ROW]
[ROW][C]0.81[/C][C]60.4702203654782[/C][C]2.64411788981708[/C][/ROW]
[ROW][C]0.82[/C][C]61.0995432333388[/C][C]2.75563430012164[/C][/ROW]
[ROW][C]0.83[/C][C]61.7556977354562[/C][C]2.80487297714699[/C][/ROW]
[ROW][C]0.84[/C][C]62.4278973390737[/C][C]2.78586163474921[/C][/ROW]
[ROW][C]0.85[/C][C]63.1060211289298[/C][C]2.70770463427454[/C][/ROW]
[ROW][C]0.86[/C][C]63.7828415994348[/C][C]2.59238028288228[/C][/ROW]
[ROW][C]0.87[/C][C]64.4552155281616[/C][C]2.46762170017108[/C][/ROW]
[ROW][C]0.88[/C][C]65.1238759131938[/C][C]2.35602161481302[/C][/ROW]
[ROW][C]0.89[/C][C]65.7922765962441[/C][C]2.26521706575971[/C][/ROW]
[ROW][C]0.9[/C][C]66.4657776910397[/C][C]2.18778877475281[/C][/ROW]
[ROW][C]0.91[/C][C]67.1526897851286[/C][C]2.11375689717198[/C][/ROW]
[ROW][C]0.92[/C][C]67.8676822027862[/C][C]2.05090638149786[/C][/ROW]
[ROW][C]0.93[/C][C]68.6357124741323[/C][C]2.03618109784941[/C][/ROW]
[ROW][C]0.94[/C][C]69.492028332552[/C][C]2.11606060260003[/C][/ROW]
[ROW][C]0.95[/C][C]70.473208184758[/C][C]2.28758391958854[/C][/ROW]
[ROW][C]0.96[/C][C]71.5974815844211[/C][C]2.45321984813898[/C][/ROW]
[ROW][C]0.97[/C][C]72.8378270214013[/C][C]2.45546107402033[/C][/ROW]
[ROW][C]0.98[/C][C]74.0931642803722[/C][C]2.19640035331003[/C][/ROW]
[ROW][C]0.99[/C][C]75.1667686443988[/C][C]1.80163252681114[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2633&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2633&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
0.0119.460705524993.43990142388266
0.0220.97600703309712.43977463004117
0.0322.28842140199271.61828654381750
0.0423.20959163995511.08343326074182
0.0523.80383127174340.774578963585849
0.0624.19158066068210.611897292216727
0.0724.46582257974670.539959326167624
0.0824.68279239398750.523793695625721
0.0924.87379829644290.54243485834135
0.125.0561524614840.583853596006873
0.1125.2395722247990.639906395048882
0.1225.42940380710440.703711708072208
0.1325.62819103353000.76904258748064
0.1425.83650942203650.830546233474369
0.1526.05353157520700.884265378955315
0.1626.27751758490910.927878024973496
0.1726.50627533171080.960770283420133
0.1826.73757098169040.98377953403818
0.1926.96945820763530.998901185548541
0.227.20050836193091.00884529108190
0.2127.42994346035801.01677922420614
0.2227.65768881795051.02591840463237
0.2327.88436896276041.03954478063301
0.2428.11126972644681.06081555771881
0.2528.34028374653521.09284459790120
0.2628.57384888398411.13859397880049
0.2728.81488154337871.20072737351299
0.2829.06670101849311.2815194388094
0.2929.33293755159821.38281082041081
0.329.61741623095361.50566554730712
0.3129.92401140660921.65012558462949
0.3230.25647189406531.81517516313828
0.3330.61822513557911.99839018990859
0.3431.01217715749882.19616104223870
0.3531.44053239856862.40375721384863
0.3631.90466096067802.61585899500977
0.3732.40503880596322.82693350358175
0.3832.94127833670263.03211047192861
0.3933.51225354139053.22742687078775
0.434.11630765899493.41064890554129
0.4134.75151509983143.58109277640787
0.4235.41595634739413.74007315658964
0.4336.10795753486783.8901139742996
0.4436.82624728226214.0346833536929
0.4537.56999298175754.17696320012263
0.4638.33869645280124.3192166916926
0.4739.1319526887564.46159244996828
0.4839.94910175500934.60171696671086
0.4940.78882808929014.73407844639171
0.541.64877835318844.85085544332903
0.5142.52527406039754.94248067240378
0.5243.41318580432174.99911567695827
0.5344.30601230023535.01213845602937
0.5445.19617329328534.97559898525965
0.5546.07548720579914.88705101842854
0.5646.93577022966834.74830168124815
0.5747.76947090353854.56524289137746
0.5848.57024799004874.34714298297189
0.5949.3334107090054.10550153841096
0.650.05616596094863.85279005062573
0.6150.73765081381573.60077824398065
0.6251.3787627047373.35975445094812
0.6351.98182794758563.13728335653744
0.6452.55016729108732.93799920654874
0.6553.08762479100912.76343383807147
0.6653.59812519609282.61255110871485
0.6754.08531859120612.48226690579575
0.6854.55236161870252.36839796352691
0.6955.0018724454072.26650050671436
0.755.43607954066472.17318610337863
0.7155.85715882073462.08701501687914
0.7256.2677175445772.00959262996237
0.7356.67133839442741.94601549377739
0.7457.07305170238991.90511667319265
0.7557.47957276926551.89768960785647
0.7657.89914376403851.93415002992871
0.7758.34087310242252.02002127780252
0.7858.81357644604662.15179286520648
0.7959.32428012686412.31559883788027
0.859.87671239469182.48878524617055
0.8160.47022036547822.64411788981708
0.8261.09954323333882.75563430012164
0.8361.75569773545622.80487297714699
0.8462.42789733907372.78586163474921
0.8563.10602112892982.70770463427454
0.8663.78284159943482.59238028288228
0.8764.45521552816162.46762170017108
0.8865.12387591319382.35602161481302
0.8965.79227659624412.26521706575971
0.966.46577769103972.18778877475281
0.9167.15268978512862.11375689717198
0.9267.86768220278622.05090638149786
0.9368.63571247413232.03618109784941
0.9469.4920283325522.11606060260003
0.9570.4732081847582.28758391958854
0.9671.59748158442112.45321984813898
0.9772.83782702140132.45546107402033
0.9874.09316428037222.19640035331003
0.9975.16676864439881.80163252681114


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')