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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, 01 Mar 2008 05:59:51 -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/2008/Mar/01/t1204376494u5pu3o3883cvkf8.htm/, Retrieved Sat, 18 May 2024 06:23:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9353, Retrieved Sat, 18 May 2024 06:23:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact239

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] [Percentielen eige...] [2008-03-01 12:59:51] [d9cff6fe3aecfbbd189e6e236f7b17ac] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
77.5 
77.7 
76.6 
77
76.5 
77.6 
77.8 
76.9 
76.9 
77
77
76.3 
76.5 
77.1 
76.4 
75.4 
75.4 
75.5 
75.5 
75.8 
75.7 
75.9 
76.1 
76
76
75.89 
74.87 
74.9 
74.79 
74.64 
74.09 
74.33 
73.93 
73.78 
72.85 
71.51 
71.5 
71.5 
71.31 
70.85 
70.62 
70.07 
68.83 
68.82 
68.4 
68.21 
67.75 
67.7 
67.42 
66.27 
64.8 
62.69 
62.75 
62.31 
62.4 
61.75 
61.69 
60.39 
59.9 
59.62 
58.97 
58.54 
58.32 
56.03 
53.63 
53.61 
53.48 
53.48 
52.81 
52.8 
52.57 
52.36

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9353&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9353&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9353&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0152.43661868026520.212413140622379
0.0252.56355581086560.243988072719471
0.0352.71670734497490.309677906174901
0.0452.88975390656750.410273361880646
0.0553.09011669319810.552516520151426
0.0653.33118191881030.75160542723719
0.0753.62800574889991.01749266581159
0.0853.99399009842181.33766056715734
0.0954.43678004181241.67550681222164
0.154.95453600227991.98238063872132
0.1155.53465491528242.21431219180395
0.1256.15587739220352.34556586530858
0.1356.79296678186532.37411415255683
0.1457.42207085845812.31900016922659
0.1558.02491818488972.21140146944688
0.1658.59083828791082.08462130290696
0.1759.11661008199241.96581949397552
0.1859.60484686506841.87198971491342
0.1960.06183996752891.81051398537796
0.260.49559805818031.78219964058462
0.2160.91445134318451.78521224092159
0.2261.3262431585391.81751557853652
0.2361.73792313046971.87677272139076
0.2462.15530822973941.959614458515
0.2562.5828473273512.05988981821221
0.2663.02334259336622.16854746043367
0.2763.47768527886992.27426966019626
0.2863.9447162673642.36490287248566
0.2964.42131370770182.42960005062956
0.364.90275453128362.46067535677921
0.3165.38332025332452.45489968870024
0.3265.85704877944582.41357038462498
0.3366.31849464796382.34242310837948
0.3466.76335974215622.25032881181302
0.3567.18889161740352.14775262334477
0.3667.59400401761322.04462117878610
0.3767.97913626827551.94961649985980
0.3868.34591861300291.86793885009720
0.3968.69673831875771.80215408660105
0.469.03430316144051.75177998641485
0.4169.36127851541551.71459321804345
0.4269.68004045860281.68750629476217
0.4369.99255071235081.66762465632023
0.4470.30032941576381.65269800232971
0.4570.60448495437271.64127683175077
0.4670.90575826368641.63209970445004
0.4771.20454998385241.62390707232206
0.4871.50091730471421.61524986371644
0.4971.79454678031921.60405644602343
0.572.0847238583131.58768685629469
0.5172.37032551891941.56343981184585
0.5272.64985834312621.52874104836235
0.5372.9215525254551.48202967500782
0.5473.18350687834331.42294601496204
0.5573.43386553275871.35228215917821
0.5673.67099790192491.27192769659063
0.5773.89365180732041.18493706102372
0.5874.101055449711.09453112441281
0.5974.29295508167161.00429238229497
0.674.4695885059330.917004048733517
0.6174.63160642301760.83502214124803
0.6274.77996152906110.759646702842414
0.6374.9157878822930.691612170791317
0.6475.04029069909830.630873565437187
0.6575.1546608667150.576765737233168
0.6675.26002107738330.528717118831148
0.6775.3574034899960.485944094241922
0.6875.44775349779050.447840304499425
0.6975.53195102567420.414116507480448
0.775.61083964350040.384608915974586
0.7175.68525418441250.359196393395183
0.7275.75603905477290.338110324319703
0.7375.8240517958250.321390192216942
0.7475.8901496502520.309056388687768
0.7575.95516071771960.300869278080195
0.7676.01984512489230.296392529812690
0.7776.08485432131990.294765649786525
0.7876.1506967822990.29503495865911
0.7976.21771527580090.296141312695196
0.876.28607514185130.297265911113804
0.8176.3557574025940.297565011974412
0.8276.42654904280010.296486783283202
0.8376.49802917687780.293285727022121
0.8476.56956479756660.287191012207935
0.8576.64034887908440.277396181517318
0.8676.7095263723330.263345232980344
0.8776.77644578412950.245380597891905
0.8876.84103249648150.225352922402713
0.8976.90420111056130.207100439282789
0.976.9681246507420.196254193806432
0.9177.03610643192950.198352016652741
0.9277.11183538139370.214661483529083
0.9377.19802845799320.238788342003678
0.9477.2948776320350.258284344470893
0.9577.39913952547730.25991740362002
0.9677.50470846838690.236263858430275
0.9777.60459542671490.19126585346053
0.9877.69244973319080.141019032518342
0.9977.76105852107660.107401439824776

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 52.4366186802652 & 0.212413140622379 \tabularnewline
0.02 & 52.5635558108656 & 0.243988072719471 \tabularnewline
0.03 & 52.7167073449749 & 0.309677906174901 \tabularnewline
0.04 & 52.8897539065675 & 0.410273361880646 \tabularnewline
0.05 & 53.0901166931981 & 0.552516520151426 \tabularnewline
0.06 & 53.3311819188103 & 0.75160542723719 \tabularnewline
0.07 & 53.6280057488999 & 1.01749266581159 \tabularnewline
0.08 & 53.9939900984218 & 1.33766056715734 \tabularnewline
0.09 & 54.4367800418124 & 1.67550681222164 \tabularnewline
0.1 & 54.9545360022799 & 1.98238063872132 \tabularnewline
0.11 & 55.5346549152824 & 2.21431219180395 \tabularnewline
0.12 & 56.1558773922035 & 2.34556586530858 \tabularnewline
0.13 & 56.7929667818653 & 2.37411415255683 \tabularnewline
0.14 & 57.4220708584581 & 2.31900016922659 \tabularnewline
0.15 & 58.0249181848897 & 2.21140146944688 \tabularnewline
0.16 & 58.5908382879108 & 2.08462130290696 \tabularnewline
0.17 & 59.1166100819924 & 1.96581949397552 \tabularnewline
0.18 & 59.6048468650684 & 1.87198971491342 \tabularnewline
0.19 & 60.0618399675289 & 1.81051398537796 \tabularnewline
0.2 & 60.4955980581803 & 1.78219964058462 \tabularnewline
0.21 & 60.9144513431845 & 1.78521224092159 \tabularnewline
0.22 & 61.326243158539 & 1.81751557853652 \tabularnewline
0.23 & 61.7379231304697 & 1.87677272139076 \tabularnewline
0.24 & 62.1553082297394 & 1.959614458515 \tabularnewline
0.25 & 62.582847327351 & 2.05988981821221 \tabularnewline
0.26 & 63.0233425933662 & 2.16854746043367 \tabularnewline
0.27 & 63.4776852788699 & 2.27426966019626 \tabularnewline
0.28 & 63.944716267364 & 2.36490287248566 \tabularnewline
0.29 & 64.4213137077018 & 2.42960005062956 \tabularnewline
0.3 & 64.9027545312836 & 2.46067535677921 \tabularnewline
0.31 & 65.3833202533245 & 2.45489968870024 \tabularnewline
0.32 & 65.8570487794458 & 2.41357038462498 \tabularnewline
0.33 & 66.3184946479638 & 2.34242310837948 \tabularnewline
0.34 & 66.7633597421562 & 2.25032881181302 \tabularnewline
0.35 & 67.1888916174035 & 2.14775262334477 \tabularnewline
0.36 & 67.5940040176132 & 2.04462117878610 \tabularnewline
0.37 & 67.9791362682755 & 1.94961649985980 \tabularnewline
0.38 & 68.3459186130029 & 1.86793885009720 \tabularnewline
0.39 & 68.6967383187577 & 1.80215408660105 \tabularnewline
0.4 & 69.0343031614405 & 1.75177998641485 \tabularnewline
0.41 & 69.3612785154155 & 1.71459321804345 \tabularnewline
0.42 & 69.6800404586028 & 1.68750629476217 \tabularnewline
0.43 & 69.9925507123508 & 1.66762465632023 \tabularnewline
0.44 & 70.3003294157638 & 1.65269800232971 \tabularnewline
0.45 & 70.6044849543727 & 1.64127683175077 \tabularnewline
0.46 & 70.9057582636864 & 1.63209970445004 \tabularnewline
0.47 & 71.2045499838524 & 1.62390707232206 \tabularnewline
0.48 & 71.5009173047142 & 1.61524986371644 \tabularnewline
0.49 & 71.7945467803192 & 1.60405644602343 \tabularnewline
0.5 & 72.084723858313 & 1.58768685629469 \tabularnewline
0.51 & 72.3703255189194 & 1.56343981184585 \tabularnewline
0.52 & 72.6498583431262 & 1.52874104836235 \tabularnewline
0.53 & 72.921552525455 & 1.48202967500782 \tabularnewline
0.54 & 73.1835068783433 & 1.42294601496204 \tabularnewline
0.55 & 73.4338655327587 & 1.35228215917821 \tabularnewline
0.56 & 73.6709979019249 & 1.27192769659063 \tabularnewline
0.57 & 73.8936518073204 & 1.18493706102372 \tabularnewline
0.58 & 74.10105544971 & 1.09453112441281 \tabularnewline
0.59 & 74.2929550816716 & 1.00429238229497 \tabularnewline
0.6 & 74.469588505933 & 0.917004048733517 \tabularnewline
0.61 & 74.6316064230176 & 0.83502214124803 \tabularnewline
0.62 & 74.7799615290611 & 0.759646702842414 \tabularnewline
0.63 & 74.915787882293 & 0.691612170791317 \tabularnewline
0.64 & 75.0402906990983 & 0.630873565437187 \tabularnewline
0.65 & 75.154660866715 & 0.576765737233168 \tabularnewline
0.66 & 75.2600210773833 & 0.528717118831148 \tabularnewline
0.67 & 75.357403489996 & 0.485944094241922 \tabularnewline
0.68 & 75.4477534977905 & 0.447840304499425 \tabularnewline
0.69 & 75.5319510256742 & 0.414116507480448 \tabularnewline
0.7 & 75.6108396435004 & 0.384608915974586 \tabularnewline
0.71 & 75.6852541844125 & 0.359196393395183 \tabularnewline
0.72 & 75.7560390547729 & 0.338110324319703 \tabularnewline
0.73 & 75.824051795825 & 0.321390192216942 \tabularnewline
0.74 & 75.890149650252 & 0.309056388687768 \tabularnewline
0.75 & 75.9551607177196 & 0.300869278080195 \tabularnewline
0.76 & 76.0198451248923 & 0.296392529812690 \tabularnewline
0.77 & 76.0848543213199 & 0.294765649786525 \tabularnewline
0.78 & 76.150696782299 & 0.29503495865911 \tabularnewline
0.79 & 76.2177152758009 & 0.296141312695196 \tabularnewline
0.8 & 76.2860751418513 & 0.297265911113804 \tabularnewline
0.81 & 76.355757402594 & 0.297565011974412 \tabularnewline
0.82 & 76.4265490428001 & 0.296486783283202 \tabularnewline
0.83 & 76.4980291768778 & 0.293285727022121 \tabularnewline
0.84 & 76.5695647975666 & 0.287191012207935 \tabularnewline
0.85 & 76.6403488790844 & 0.277396181517318 \tabularnewline
0.86 & 76.709526372333 & 0.263345232980344 \tabularnewline
0.87 & 76.7764457841295 & 0.245380597891905 \tabularnewline
0.88 & 76.8410324964815 & 0.225352922402713 \tabularnewline
0.89 & 76.9042011105613 & 0.207100439282789 \tabularnewline
0.9 & 76.968124650742 & 0.196254193806432 \tabularnewline
0.91 & 77.0361064319295 & 0.198352016652741 \tabularnewline
0.92 & 77.1118353813937 & 0.214661483529083 \tabularnewline
0.93 & 77.1980284579932 & 0.238788342003678 \tabularnewline
0.94 & 77.294877632035 & 0.258284344470893 \tabularnewline
0.95 & 77.3991395254773 & 0.25991740362002 \tabularnewline
0.96 & 77.5047084683869 & 0.236263858430275 \tabularnewline
0.97 & 77.6045954267149 & 0.19126585346053 \tabularnewline
0.98 & 77.6924497331908 & 0.141019032518342 \tabularnewline
0.99 & 77.7610585210766 & 0.107401439824776 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9353&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]52.4366186802652[/C][C]0.212413140622379[/C][/ROW]
[ROW][C]0.02[/C][C]52.5635558108656[/C][C]0.243988072719471[/C][/ROW]
[ROW][C]0.03[/C][C]52.7167073449749[/C][C]0.309677906174901[/C][/ROW]
[ROW][C]0.04[/C][C]52.8897539065675[/C][C]0.410273361880646[/C][/ROW]
[ROW][C]0.05[/C][C]53.0901166931981[/C][C]0.552516520151426[/C][/ROW]
[ROW][C]0.06[/C][C]53.3311819188103[/C][C]0.75160542723719[/C][/ROW]
[ROW][C]0.07[/C][C]53.6280057488999[/C][C]1.01749266581159[/C][/ROW]
[ROW][C]0.08[/C][C]53.9939900984218[/C][C]1.33766056715734[/C][/ROW]
[ROW][C]0.09[/C][C]54.4367800418124[/C][C]1.67550681222164[/C][/ROW]
[ROW][C]0.1[/C][C]54.9545360022799[/C][C]1.98238063872132[/C][/ROW]
[ROW][C]0.11[/C][C]55.5346549152824[/C][C]2.21431219180395[/C][/ROW]
[ROW][C]0.12[/C][C]56.1558773922035[/C][C]2.34556586530858[/C][/ROW]
[ROW][C]0.13[/C][C]56.7929667818653[/C][C]2.37411415255683[/C][/ROW]
[ROW][C]0.14[/C][C]57.4220708584581[/C][C]2.31900016922659[/C][/ROW]
[ROW][C]0.15[/C][C]58.0249181848897[/C][C]2.21140146944688[/C][/ROW]
[ROW][C]0.16[/C][C]58.5908382879108[/C][C]2.08462130290696[/C][/ROW]
[ROW][C]0.17[/C][C]59.1166100819924[/C][C]1.96581949397552[/C][/ROW]
[ROW][C]0.18[/C][C]59.6048468650684[/C][C]1.87198971491342[/C][/ROW]
[ROW][C]0.19[/C][C]60.0618399675289[/C][C]1.81051398537796[/C][/ROW]
[ROW][C]0.2[/C][C]60.4955980581803[/C][C]1.78219964058462[/C][/ROW]
[ROW][C]0.21[/C][C]60.9144513431845[/C][C]1.78521224092159[/C][/ROW]
[ROW][C]0.22[/C][C]61.326243158539[/C][C]1.81751557853652[/C][/ROW]
[ROW][C]0.23[/C][C]61.7379231304697[/C][C]1.87677272139076[/C][/ROW]
[ROW][C]0.24[/C][C]62.1553082297394[/C][C]1.959614458515[/C][/ROW]
[ROW][C]0.25[/C][C]62.582847327351[/C][C]2.05988981821221[/C][/ROW]
[ROW][C]0.26[/C][C]63.0233425933662[/C][C]2.16854746043367[/C][/ROW]
[ROW][C]0.27[/C][C]63.4776852788699[/C][C]2.27426966019626[/C][/ROW]
[ROW][C]0.28[/C][C]63.944716267364[/C][C]2.36490287248566[/C][/ROW]
[ROW][C]0.29[/C][C]64.4213137077018[/C][C]2.42960005062956[/C][/ROW]
[ROW][C]0.3[/C][C]64.9027545312836[/C][C]2.46067535677921[/C][/ROW]
[ROW][C]0.31[/C][C]65.3833202533245[/C][C]2.45489968870024[/C][/ROW]
[ROW][C]0.32[/C][C]65.8570487794458[/C][C]2.41357038462498[/C][/ROW]
[ROW][C]0.33[/C][C]66.3184946479638[/C][C]2.34242310837948[/C][/ROW]
[ROW][C]0.34[/C][C]66.7633597421562[/C][C]2.25032881181302[/C][/ROW]
[ROW][C]0.35[/C][C]67.1888916174035[/C][C]2.14775262334477[/C][/ROW]
[ROW][C]0.36[/C][C]67.5940040176132[/C][C]2.04462117878610[/C][/ROW]
[ROW][C]0.37[/C][C]67.9791362682755[/C][C]1.94961649985980[/C][/ROW]
[ROW][C]0.38[/C][C]68.3459186130029[/C][C]1.86793885009720[/C][/ROW]
[ROW][C]0.39[/C][C]68.6967383187577[/C][C]1.80215408660105[/C][/ROW]
[ROW][C]0.4[/C][C]69.0343031614405[/C][C]1.75177998641485[/C][/ROW]
[ROW][C]0.41[/C][C]69.3612785154155[/C][C]1.71459321804345[/C][/ROW]
[ROW][C]0.42[/C][C]69.6800404586028[/C][C]1.68750629476217[/C][/ROW]
[ROW][C]0.43[/C][C]69.9925507123508[/C][C]1.66762465632023[/C][/ROW]
[ROW][C]0.44[/C][C]70.3003294157638[/C][C]1.65269800232971[/C][/ROW]
[ROW][C]0.45[/C][C]70.6044849543727[/C][C]1.64127683175077[/C][/ROW]
[ROW][C]0.46[/C][C]70.9057582636864[/C][C]1.63209970445004[/C][/ROW]
[ROW][C]0.47[/C][C]71.2045499838524[/C][C]1.62390707232206[/C][/ROW]
[ROW][C]0.48[/C][C]71.5009173047142[/C][C]1.61524986371644[/C][/ROW]
[ROW][C]0.49[/C][C]71.7945467803192[/C][C]1.60405644602343[/C][/ROW]
[ROW][C]0.5[/C][C]72.084723858313[/C][C]1.58768685629469[/C][/ROW]
[ROW][C]0.51[/C][C]72.3703255189194[/C][C]1.56343981184585[/C][/ROW]
[ROW][C]0.52[/C][C]72.6498583431262[/C][C]1.52874104836235[/C][/ROW]
[ROW][C]0.53[/C][C]72.921552525455[/C][C]1.48202967500782[/C][/ROW]
[ROW][C]0.54[/C][C]73.1835068783433[/C][C]1.42294601496204[/C][/ROW]
[ROW][C]0.55[/C][C]73.4338655327587[/C][C]1.35228215917821[/C][/ROW]
[ROW][C]0.56[/C][C]73.6709979019249[/C][C]1.27192769659063[/C][/ROW]
[ROW][C]0.57[/C][C]73.8936518073204[/C][C]1.18493706102372[/C][/ROW]
[ROW][C]0.58[/C][C]74.10105544971[/C][C]1.09453112441281[/C][/ROW]
[ROW][C]0.59[/C][C]74.2929550816716[/C][C]1.00429238229497[/C][/ROW]
[ROW][C]0.6[/C][C]74.469588505933[/C][C]0.917004048733517[/C][/ROW]
[ROW][C]0.61[/C][C]74.6316064230176[/C][C]0.83502214124803[/C][/ROW]
[ROW][C]0.62[/C][C]74.7799615290611[/C][C]0.759646702842414[/C][/ROW]
[ROW][C]0.63[/C][C]74.915787882293[/C][C]0.691612170791317[/C][/ROW]
[ROW][C]0.64[/C][C]75.0402906990983[/C][C]0.630873565437187[/C][/ROW]
[ROW][C]0.65[/C][C]75.154660866715[/C][C]0.576765737233168[/C][/ROW]
[ROW][C]0.66[/C][C]75.2600210773833[/C][C]0.528717118831148[/C][/ROW]
[ROW][C]0.67[/C][C]75.357403489996[/C][C]0.485944094241922[/C][/ROW]
[ROW][C]0.68[/C][C]75.4477534977905[/C][C]0.447840304499425[/C][/ROW]
[ROW][C]0.69[/C][C]75.5319510256742[/C][C]0.414116507480448[/C][/ROW]
[ROW][C]0.7[/C][C]75.6108396435004[/C][C]0.384608915974586[/C][/ROW]
[ROW][C]0.71[/C][C]75.6852541844125[/C][C]0.359196393395183[/C][/ROW]
[ROW][C]0.72[/C][C]75.7560390547729[/C][C]0.338110324319703[/C][/ROW]
[ROW][C]0.73[/C][C]75.824051795825[/C][C]0.321390192216942[/C][/ROW]
[ROW][C]0.74[/C][C]75.890149650252[/C][C]0.309056388687768[/C][/ROW]
[ROW][C]0.75[/C][C]75.9551607177196[/C][C]0.300869278080195[/C][/ROW]
[ROW][C]0.76[/C][C]76.0198451248923[/C][C]0.296392529812690[/C][/ROW]
[ROW][C]0.77[/C][C]76.0848543213199[/C][C]0.294765649786525[/C][/ROW]
[ROW][C]0.78[/C][C]76.150696782299[/C][C]0.29503495865911[/C][/ROW]
[ROW][C]0.79[/C][C]76.2177152758009[/C][C]0.296141312695196[/C][/ROW]
[ROW][C]0.8[/C][C]76.2860751418513[/C][C]0.297265911113804[/C][/ROW]
[ROW][C]0.81[/C][C]76.355757402594[/C][C]0.297565011974412[/C][/ROW]
[ROW][C]0.82[/C][C]76.4265490428001[/C][C]0.296486783283202[/C][/ROW]
[ROW][C]0.83[/C][C]76.4980291768778[/C][C]0.293285727022121[/C][/ROW]
[ROW][C]0.84[/C][C]76.5695647975666[/C][C]0.287191012207935[/C][/ROW]
[ROW][C]0.85[/C][C]76.6403488790844[/C][C]0.277396181517318[/C][/ROW]
[ROW][C]0.86[/C][C]76.709526372333[/C][C]0.263345232980344[/C][/ROW]
[ROW][C]0.87[/C][C]76.7764457841295[/C][C]0.245380597891905[/C][/ROW]
[ROW][C]0.88[/C][C]76.8410324964815[/C][C]0.225352922402713[/C][/ROW]
[ROW][C]0.89[/C][C]76.9042011105613[/C][C]0.207100439282789[/C][/ROW]
[ROW][C]0.9[/C][C]76.968124650742[/C][C]0.196254193806432[/C][/ROW]
[ROW][C]0.91[/C][C]77.0361064319295[/C][C]0.198352016652741[/C][/ROW]
[ROW][C]0.92[/C][C]77.1118353813937[/C][C]0.214661483529083[/C][/ROW]
[ROW][C]0.93[/C][C]77.1980284579932[/C][C]0.238788342003678[/C][/ROW]
[ROW][C]0.94[/C][C]77.294877632035[/C][C]0.258284344470893[/C][/ROW]
[ROW][C]0.95[/C][C]77.3991395254773[/C][C]0.25991740362002[/C][/ROW]
[ROW][C]0.96[/C][C]77.5047084683869[/C][C]0.236263858430275[/C][/ROW]
[ROW][C]0.97[/C][C]77.6045954267149[/C][C]0.19126585346053[/C][/ROW]
[ROW][C]0.98[/C][C]77.6924497331908[/C][C]0.141019032518342[/C][/ROW]
[ROW][C]0.99[/C][C]77.7610585210766[/C][C]0.107401439824776[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9353&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9353&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
0.0152.43661868026520.212413140622379
0.0252.56355581086560.243988072719471
0.0352.71670734497490.309677906174901
0.0452.88975390656750.410273361880646
0.0553.09011669319810.552516520151426
0.0653.33118191881030.75160542723719
0.0753.62800574889991.01749266581159
0.0853.99399009842181.33766056715734
0.0954.43678004181241.67550681222164
0.154.95453600227991.98238063872132
0.1155.53465491528242.21431219180395
0.1256.15587739220352.34556586530858
0.1356.79296678186532.37411415255683
0.1457.42207085845812.31900016922659
0.1558.02491818488972.21140146944688
0.1658.59083828791082.08462130290696
0.1759.11661008199241.96581949397552
0.1859.60484686506841.87198971491342
0.1960.06183996752891.81051398537796
0.260.49559805818031.78219964058462
0.2160.91445134318451.78521224092159
0.2261.3262431585391.81751557853652
0.2361.73792313046971.87677272139076
0.2462.15530822973941.959614458515
0.2562.5828473273512.05988981821221
0.2663.02334259336622.16854746043367
0.2763.47768527886992.27426966019626
0.2863.9447162673642.36490287248566
0.2964.42131370770182.42960005062956
0.364.90275453128362.46067535677921
0.3165.38332025332452.45489968870024
0.3265.85704877944582.41357038462498
0.3366.31849464796382.34242310837948
0.3466.76335974215622.25032881181302
0.3567.18889161740352.14775262334477
0.3667.59400401761322.04462117878610
0.3767.97913626827551.94961649985980
0.3868.34591861300291.86793885009720
0.3968.69673831875771.80215408660105
0.469.03430316144051.75177998641485
0.4169.36127851541551.71459321804345
0.4269.68004045860281.68750629476217
0.4369.99255071235081.66762465632023
0.4470.30032941576381.65269800232971
0.4570.60448495437271.64127683175077
0.4670.90575826368641.63209970445004
0.4771.20454998385241.62390707232206
0.4871.50091730471421.61524986371644
0.4971.79454678031921.60405644602343
0.572.0847238583131.58768685629469
0.5172.37032551891941.56343981184585
0.5272.64985834312621.52874104836235
0.5372.9215525254551.48202967500782
0.5473.18350687834331.42294601496204
0.5573.43386553275871.35228215917821
0.5673.67099790192491.27192769659063
0.5773.89365180732041.18493706102372
0.5874.101055449711.09453112441281
0.5974.29295508167161.00429238229497
0.674.4695885059330.917004048733517
0.6174.63160642301760.83502214124803
0.6274.77996152906110.759646702842414
0.6374.9157878822930.691612170791317
0.6475.04029069909830.630873565437187
0.6575.1546608667150.576765737233168
0.6675.26002107738330.528717118831148
0.6775.3574034899960.485944094241922
0.6875.44775349779050.447840304499425
0.6975.53195102567420.414116507480448
0.775.61083964350040.384608915974586
0.7175.68525418441250.359196393395183
0.7275.75603905477290.338110324319703
0.7375.8240517958250.321390192216942
0.7475.8901496502520.309056388687768
0.7575.95516071771960.300869278080195
0.7676.01984512489230.296392529812690
0.7776.08485432131990.294765649786525
0.7876.1506967822990.29503495865911
0.7976.21771527580090.296141312695196
0.876.28607514185130.297265911113804
0.8176.3557574025940.297565011974412
0.8276.42654904280010.296486783283202
0.8376.49802917687780.293285727022121
0.8476.56956479756660.287191012207935
0.8576.64034887908440.277396181517318
0.8676.7095263723330.263345232980344
0.8776.77644578412950.245380597891905
0.8876.84103249648150.225352922402713
0.8976.90420111056130.207100439282789
0.976.9681246507420.196254193806432
0.9177.03610643192950.198352016652741
0.9277.11183538139370.214661483529083
0.9377.19802845799320.238788342003678
0.9477.2948776320350.258284344470893
0.9577.39913952547730.25991740362002
0.9677.50470846838690.236263858430275
0.9777.60459542671490.19126585346053
0.9877.69244973319080.141019032518342
0.9977.76105852107660.107401439824776


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')