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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, 04 Oct 2014 21:09:42 +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/04/t1412453410t7pf6e4hk8yhc83.htm/, Retrieved Mon, 13 May 2024 07:59:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238653, Retrieved Mon, 13 May 2024 07:59:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact100

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 verk...] [2014-10-04 20:09:42] [5bf76c10641fca8e28dadcb3ba7a941a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
66329
50326
47182
42247
45796
48233
40079
39596
41275
41875
29784
7199
56166
33936
34532
30261
30857
35461
33525
27825
33624
35618
27329
8081
62751
37565
44749
37537
36825
50679
38488
36522
45545
43571
37343
11593
74784
49019
56601
47634
49807
50499
42092
39064
44376
43616
41059
17226
70170
43949
52333
41034
47760
76115
30918
32994
31947
26763
30251
18211
47957
31901
35560
30408
30083
35044
30475
28308
31395
36311
40426
38948

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238653&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238653&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238653&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.017871.074617891911859.11818353909
0.029290.457596806233430.56186798865
0.0311326.68533976274792.25986250754
0.0413739.29346383765654.76918916399
0.0516283.33230345366026.35793744703
0.0618761.0670040975982.69497214849
0.0721034.94275513765597.25819750467
0.0823022.94290576044961.10973119327
0.0924690.34226518524193.47370781596
0.126040.91014575233417.56245835856
0.1127106.15709046072726.49172878422
0.1227932.87455033172165.53939928185
0.1328571.56084565891736.93329951374
0.1429068.34573239631418.91126581691
0.1529461.27159782421185.65374757986
0.1629780.0182518661018.65286614993
0.1730047.4030962928908.327129445315
0.1830281.2162241109849.895588159046
0.1930495.6139030218838.454872501388
0.230701.9005701722866.423245624027
0.2130908.8649943576923.797154471653
0.2231122.91800697981000.2172058275
0.2331348.21939515921086.09500089986
0.2431586.88455935951173.29364529438
0.2531839.2848766561255.34566426861
0.2632104.41466367281327.26872411345
0.2732380.28496872221385.90471812609
0.2832664.30734608671429.5866430439
0.2932953.63952554251458.18423982005
0.333245.47454536281472.53918286037
0.3133537.26380165861474.60396201307
0.3233826.87217678551466.76459126143
0.3334112.66962823131451.6848410042
0.3434393.56790952411432.04727642598
0.3534669.01319302221410.63605736388
0.3634938.94546618441389.73163136775
0.3735203.73433076651371.56173309562
0.3835464.09908837751357.66068757791
0.3935721.0194285241349.49603611409
0.435975.64195704731347.46858938123
0.4136229.1871595291351.90153768023
0.4236482.86094709611362.38715347026
0.4336737.77447500541378.17586569593
0.4436994.87540992961398.17497745603
0.4537254.89334390511420.99278284743
0.4637518.30172562011444.99807422734
0.4737785.29850384961468.62496623798
0.4838055.80747955731490.27625249683
0.4938329.50184010511508.45775454931
0.538605.85019836071522.15429286035
0.5138884.18352734791530.70285082271
0.5239163.77877024921533.97380625029
0.5339443.95200501881532.43685392574
0.5439724.15147198821527.1159994949
0.5540004.03925563331519.59368620299
0.5640283.55060321581511.65556732404
0.5740562.92215494031505.19822814858
0.5840842.68469950921502.10261943977
0.5941123.62184036221503.67615923597
0.641406.70199330841510.80129987652
0.6141692.9959040211523.63147618542
0.6241983.59386024231541.67989731015
0.6342279.53499361941564.09363029722
0.6442581.75555891621589.85240880007
0.6542891.05518716281617.99254119785
0.6643208.07235888061647.51326981256
0.6743533.25582339391677.69607790037
0.6843866.82002219071707.541025729
0.6944208.68074031211735.671571513
0.744558.38067080711760.09318754629
0.7144915.0291475891778.42747850699
0.7245277.29009990861787.84410175554
0.7345643.45174548611785.92850687543
0.7446011.59803083991771.40807152813
0.7546379.87787985861744.50521644211
0.7646746.84231972611707.66408334641
0.7747111.80386701771665.310921503
0.7847475.17870365241623.38250751214
0.7947838.80426042031588.64731522023
0.848206.27375416221568.16449212404
0.8148583.37142257691569.421656217
0.8248978.69619194761601.39848690351
0.8349404.50269289041676.22005553922
0.8449877.66710717621810.22810921494
0.8550420.53648463772022.26789723936
0.8651061.3044733872328.7882932827
0.8751833.52777166512738.27031032644
0.8852774.46753669193246.90023792381
0.8953922.07545651843836.8695306052
0.955310.62232839814475.03226710606
0.9156965.2379074055111.06799149534
0.9258896.04979701695676.90826658443
0.9361092.94268495286093.02442829593
0.9463521.43119242916284.71812212066
0.9566118.01528989076199.59680016536
0.9668780.89578831595800.66149861896
0.9771353.69242084115025.50953236047
0.9873610.89053553593801.35224906155
0.9975274.28382844422303.92981804517

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 7871.07461789191 & 1859.11818353909 \tabularnewline
0.02 & 9290.45759680623 & 3430.56186798865 \tabularnewline
0.03 & 11326.6853397627 & 4792.25986250754 \tabularnewline
0.04 & 13739.2934638376 & 5654.76918916399 \tabularnewline
0.05 & 16283.3323034536 & 6026.35793744703 \tabularnewline
0.06 & 18761.067004097 & 5982.69497214849 \tabularnewline
0.07 & 21034.9427551376 & 5597.25819750467 \tabularnewline
0.08 & 23022.9429057604 & 4961.10973119327 \tabularnewline
0.09 & 24690.3422651852 & 4193.47370781596 \tabularnewline
0.1 & 26040.9101457523 & 3417.56245835856 \tabularnewline
0.11 & 27106.1570904607 & 2726.49172878422 \tabularnewline
0.12 & 27932.8745503317 & 2165.53939928185 \tabularnewline
0.13 & 28571.5608456589 & 1736.93329951374 \tabularnewline
0.14 & 29068.3457323963 & 1418.91126581691 \tabularnewline
0.15 & 29461.2715978242 & 1185.65374757986 \tabularnewline
0.16 & 29780.018251866 & 1018.65286614993 \tabularnewline
0.17 & 30047.4030962928 & 908.327129445315 \tabularnewline
0.18 & 30281.2162241109 & 849.895588159046 \tabularnewline
0.19 & 30495.6139030218 & 838.454872501388 \tabularnewline
0.2 & 30701.9005701722 & 866.423245624027 \tabularnewline
0.21 & 30908.8649943576 & 923.797154471653 \tabularnewline
0.22 & 31122.9180069798 & 1000.2172058275 \tabularnewline
0.23 & 31348.2193951592 & 1086.09500089986 \tabularnewline
0.24 & 31586.8845593595 & 1173.29364529438 \tabularnewline
0.25 & 31839.284876656 & 1255.34566426861 \tabularnewline
0.26 & 32104.4146636728 & 1327.26872411345 \tabularnewline
0.27 & 32380.2849687222 & 1385.90471812609 \tabularnewline
0.28 & 32664.3073460867 & 1429.5866430439 \tabularnewline
0.29 & 32953.6395255425 & 1458.18423982005 \tabularnewline
0.3 & 33245.4745453628 & 1472.53918286037 \tabularnewline
0.31 & 33537.2638016586 & 1474.60396201307 \tabularnewline
0.32 & 33826.8721767855 & 1466.76459126143 \tabularnewline
0.33 & 34112.6696282313 & 1451.6848410042 \tabularnewline
0.34 & 34393.5679095241 & 1432.04727642598 \tabularnewline
0.35 & 34669.0131930222 & 1410.63605736388 \tabularnewline
0.36 & 34938.9454661844 & 1389.73163136775 \tabularnewline
0.37 & 35203.7343307665 & 1371.56173309562 \tabularnewline
0.38 & 35464.0990883775 & 1357.66068757791 \tabularnewline
0.39 & 35721.019428524 & 1349.49603611409 \tabularnewline
0.4 & 35975.6419570473 & 1347.46858938123 \tabularnewline
0.41 & 36229.187159529 & 1351.90153768023 \tabularnewline
0.42 & 36482.8609470961 & 1362.38715347026 \tabularnewline
0.43 & 36737.7744750054 & 1378.17586569593 \tabularnewline
0.44 & 36994.8754099296 & 1398.17497745603 \tabularnewline
0.45 & 37254.8933439051 & 1420.99278284743 \tabularnewline
0.46 & 37518.3017256201 & 1444.99807422734 \tabularnewline
0.47 & 37785.2985038496 & 1468.62496623798 \tabularnewline
0.48 & 38055.8074795573 & 1490.27625249683 \tabularnewline
0.49 & 38329.5018401051 & 1508.45775454931 \tabularnewline
0.5 & 38605.8501983607 & 1522.15429286035 \tabularnewline
0.51 & 38884.1835273479 & 1530.70285082271 \tabularnewline
0.52 & 39163.7787702492 & 1533.97380625029 \tabularnewline
0.53 & 39443.9520050188 & 1532.43685392574 \tabularnewline
0.54 & 39724.1514719882 & 1527.1159994949 \tabularnewline
0.55 & 40004.0392556333 & 1519.59368620299 \tabularnewline
0.56 & 40283.5506032158 & 1511.65556732404 \tabularnewline
0.57 & 40562.9221549403 & 1505.19822814858 \tabularnewline
0.58 & 40842.6846995092 & 1502.10261943977 \tabularnewline
0.59 & 41123.6218403622 & 1503.67615923597 \tabularnewline
0.6 & 41406.7019933084 & 1510.80129987652 \tabularnewline
0.61 & 41692.995904021 & 1523.63147618542 \tabularnewline
0.62 & 41983.5938602423 & 1541.67989731015 \tabularnewline
0.63 & 42279.5349936194 & 1564.09363029722 \tabularnewline
0.64 & 42581.7555589162 & 1589.85240880007 \tabularnewline
0.65 & 42891.0551871628 & 1617.99254119785 \tabularnewline
0.66 & 43208.0723588806 & 1647.51326981256 \tabularnewline
0.67 & 43533.2558233939 & 1677.69607790037 \tabularnewline
0.68 & 43866.8200221907 & 1707.541025729 \tabularnewline
0.69 & 44208.6807403121 & 1735.671571513 \tabularnewline
0.7 & 44558.3806708071 & 1760.09318754629 \tabularnewline
0.71 & 44915.029147589 & 1778.42747850699 \tabularnewline
0.72 & 45277.2900999086 & 1787.84410175554 \tabularnewline
0.73 & 45643.4517454861 & 1785.92850687543 \tabularnewline
0.74 & 46011.5980308399 & 1771.40807152813 \tabularnewline
0.75 & 46379.8778798586 & 1744.50521644211 \tabularnewline
0.76 & 46746.8423197261 & 1707.66408334641 \tabularnewline
0.77 & 47111.8038670177 & 1665.310921503 \tabularnewline
0.78 & 47475.1787036524 & 1623.38250751214 \tabularnewline
0.79 & 47838.8042604203 & 1588.64731522023 \tabularnewline
0.8 & 48206.2737541622 & 1568.16449212404 \tabularnewline
0.81 & 48583.3714225769 & 1569.421656217 \tabularnewline
0.82 & 48978.6961919476 & 1601.39848690351 \tabularnewline
0.83 & 49404.5026928904 & 1676.22005553922 \tabularnewline
0.84 & 49877.6671071762 & 1810.22810921494 \tabularnewline
0.85 & 50420.5364846377 & 2022.26789723936 \tabularnewline
0.86 & 51061.304473387 & 2328.7882932827 \tabularnewline
0.87 & 51833.5277716651 & 2738.27031032644 \tabularnewline
0.88 & 52774.4675366919 & 3246.90023792381 \tabularnewline
0.89 & 53922.0754565184 & 3836.8695306052 \tabularnewline
0.9 & 55310.6223283981 & 4475.03226710606 \tabularnewline
0.91 & 56965.237907405 & 5111.06799149534 \tabularnewline
0.92 & 58896.0497970169 & 5676.90826658443 \tabularnewline
0.93 & 61092.9426849528 & 6093.02442829593 \tabularnewline
0.94 & 63521.4311924291 & 6284.71812212066 \tabularnewline
0.95 & 66118.0152898907 & 6199.59680016536 \tabularnewline
0.96 & 68780.8957883159 & 5800.66149861896 \tabularnewline
0.97 & 71353.6924208411 & 5025.50953236047 \tabularnewline
0.98 & 73610.8905355359 & 3801.35224906155 \tabularnewline
0.99 & 75274.2838284442 & 2303.92981804517 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238653&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]7871.07461789191[/C][C]1859.11818353909[/C][/ROW]
[ROW][C]0.02[/C][C]9290.45759680623[/C][C]3430.56186798865[/C][/ROW]
[ROW][C]0.03[/C][C]11326.6853397627[/C][C]4792.25986250754[/C][/ROW]
[ROW][C]0.04[/C][C]13739.2934638376[/C][C]5654.76918916399[/C][/ROW]
[ROW][C]0.05[/C][C]16283.3323034536[/C][C]6026.35793744703[/C][/ROW]
[ROW][C]0.06[/C][C]18761.067004097[/C][C]5982.69497214849[/C][/ROW]
[ROW][C]0.07[/C][C]21034.9427551376[/C][C]5597.25819750467[/C][/ROW]
[ROW][C]0.08[/C][C]23022.9429057604[/C][C]4961.10973119327[/C][/ROW]
[ROW][C]0.09[/C][C]24690.3422651852[/C][C]4193.47370781596[/C][/ROW]
[ROW][C]0.1[/C][C]26040.9101457523[/C][C]3417.56245835856[/C][/ROW]
[ROW][C]0.11[/C][C]27106.1570904607[/C][C]2726.49172878422[/C][/ROW]
[ROW][C]0.12[/C][C]27932.8745503317[/C][C]2165.53939928185[/C][/ROW]
[ROW][C]0.13[/C][C]28571.5608456589[/C][C]1736.93329951374[/C][/ROW]
[ROW][C]0.14[/C][C]29068.3457323963[/C][C]1418.91126581691[/C][/ROW]
[ROW][C]0.15[/C][C]29461.2715978242[/C][C]1185.65374757986[/C][/ROW]
[ROW][C]0.16[/C][C]29780.018251866[/C][C]1018.65286614993[/C][/ROW]
[ROW][C]0.17[/C][C]30047.4030962928[/C][C]908.327129445315[/C][/ROW]
[ROW][C]0.18[/C][C]30281.2162241109[/C][C]849.895588159046[/C][/ROW]
[ROW][C]0.19[/C][C]30495.6139030218[/C][C]838.454872501388[/C][/ROW]
[ROW][C]0.2[/C][C]30701.9005701722[/C][C]866.423245624027[/C][/ROW]
[ROW][C]0.21[/C][C]30908.8649943576[/C][C]923.797154471653[/C][/ROW]
[ROW][C]0.22[/C][C]31122.9180069798[/C][C]1000.2172058275[/C][/ROW]
[ROW][C]0.23[/C][C]31348.2193951592[/C][C]1086.09500089986[/C][/ROW]
[ROW][C]0.24[/C][C]31586.8845593595[/C][C]1173.29364529438[/C][/ROW]
[ROW][C]0.25[/C][C]31839.284876656[/C][C]1255.34566426861[/C][/ROW]
[ROW][C]0.26[/C][C]32104.4146636728[/C][C]1327.26872411345[/C][/ROW]
[ROW][C]0.27[/C][C]32380.2849687222[/C][C]1385.90471812609[/C][/ROW]
[ROW][C]0.28[/C][C]32664.3073460867[/C][C]1429.5866430439[/C][/ROW]
[ROW][C]0.29[/C][C]32953.6395255425[/C][C]1458.18423982005[/C][/ROW]
[ROW][C]0.3[/C][C]33245.4745453628[/C][C]1472.53918286037[/C][/ROW]
[ROW][C]0.31[/C][C]33537.2638016586[/C][C]1474.60396201307[/C][/ROW]
[ROW][C]0.32[/C][C]33826.8721767855[/C][C]1466.76459126143[/C][/ROW]
[ROW][C]0.33[/C][C]34112.6696282313[/C][C]1451.6848410042[/C][/ROW]
[ROW][C]0.34[/C][C]34393.5679095241[/C][C]1432.04727642598[/C][/ROW]
[ROW][C]0.35[/C][C]34669.0131930222[/C][C]1410.63605736388[/C][/ROW]
[ROW][C]0.36[/C][C]34938.9454661844[/C][C]1389.73163136775[/C][/ROW]
[ROW][C]0.37[/C][C]35203.7343307665[/C][C]1371.56173309562[/C][/ROW]
[ROW][C]0.38[/C][C]35464.0990883775[/C][C]1357.66068757791[/C][/ROW]
[ROW][C]0.39[/C][C]35721.019428524[/C][C]1349.49603611409[/C][/ROW]
[ROW][C]0.4[/C][C]35975.6419570473[/C][C]1347.46858938123[/C][/ROW]
[ROW][C]0.41[/C][C]36229.187159529[/C][C]1351.90153768023[/C][/ROW]
[ROW][C]0.42[/C][C]36482.8609470961[/C][C]1362.38715347026[/C][/ROW]
[ROW][C]0.43[/C][C]36737.7744750054[/C][C]1378.17586569593[/C][/ROW]
[ROW][C]0.44[/C][C]36994.8754099296[/C][C]1398.17497745603[/C][/ROW]
[ROW][C]0.45[/C][C]37254.8933439051[/C][C]1420.99278284743[/C][/ROW]
[ROW][C]0.46[/C][C]37518.3017256201[/C][C]1444.99807422734[/C][/ROW]
[ROW][C]0.47[/C][C]37785.2985038496[/C][C]1468.62496623798[/C][/ROW]
[ROW][C]0.48[/C][C]38055.8074795573[/C][C]1490.27625249683[/C][/ROW]
[ROW][C]0.49[/C][C]38329.5018401051[/C][C]1508.45775454931[/C][/ROW]
[ROW][C]0.5[/C][C]38605.8501983607[/C][C]1522.15429286035[/C][/ROW]
[ROW][C]0.51[/C][C]38884.1835273479[/C][C]1530.70285082271[/C][/ROW]
[ROW][C]0.52[/C][C]39163.7787702492[/C][C]1533.97380625029[/C][/ROW]
[ROW][C]0.53[/C][C]39443.9520050188[/C][C]1532.43685392574[/C][/ROW]
[ROW][C]0.54[/C][C]39724.1514719882[/C][C]1527.1159994949[/C][/ROW]
[ROW][C]0.55[/C][C]40004.0392556333[/C][C]1519.59368620299[/C][/ROW]
[ROW][C]0.56[/C][C]40283.5506032158[/C][C]1511.65556732404[/C][/ROW]
[ROW][C]0.57[/C][C]40562.9221549403[/C][C]1505.19822814858[/C][/ROW]
[ROW][C]0.58[/C][C]40842.6846995092[/C][C]1502.10261943977[/C][/ROW]
[ROW][C]0.59[/C][C]41123.6218403622[/C][C]1503.67615923597[/C][/ROW]
[ROW][C]0.6[/C][C]41406.7019933084[/C][C]1510.80129987652[/C][/ROW]
[ROW][C]0.61[/C][C]41692.995904021[/C][C]1523.63147618542[/C][/ROW]
[ROW][C]0.62[/C][C]41983.5938602423[/C][C]1541.67989731015[/C][/ROW]
[ROW][C]0.63[/C][C]42279.5349936194[/C][C]1564.09363029722[/C][/ROW]
[ROW][C]0.64[/C][C]42581.7555589162[/C][C]1589.85240880007[/C][/ROW]
[ROW][C]0.65[/C][C]42891.0551871628[/C][C]1617.99254119785[/C][/ROW]
[ROW][C]0.66[/C][C]43208.0723588806[/C][C]1647.51326981256[/C][/ROW]
[ROW][C]0.67[/C][C]43533.2558233939[/C][C]1677.69607790037[/C][/ROW]
[ROW][C]0.68[/C][C]43866.8200221907[/C][C]1707.541025729[/C][/ROW]
[ROW][C]0.69[/C][C]44208.6807403121[/C][C]1735.671571513[/C][/ROW]
[ROW][C]0.7[/C][C]44558.3806708071[/C][C]1760.09318754629[/C][/ROW]
[ROW][C]0.71[/C][C]44915.029147589[/C][C]1778.42747850699[/C][/ROW]
[ROW][C]0.72[/C][C]45277.2900999086[/C][C]1787.84410175554[/C][/ROW]
[ROW][C]0.73[/C][C]45643.4517454861[/C][C]1785.92850687543[/C][/ROW]
[ROW][C]0.74[/C][C]46011.5980308399[/C][C]1771.40807152813[/C][/ROW]
[ROW][C]0.75[/C][C]46379.8778798586[/C][C]1744.50521644211[/C][/ROW]
[ROW][C]0.76[/C][C]46746.8423197261[/C][C]1707.66408334641[/C][/ROW]
[ROW][C]0.77[/C][C]47111.8038670177[/C][C]1665.310921503[/C][/ROW]
[ROW][C]0.78[/C][C]47475.1787036524[/C][C]1623.38250751214[/C][/ROW]
[ROW][C]0.79[/C][C]47838.8042604203[/C][C]1588.64731522023[/C][/ROW]
[ROW][C]0.8[/C][C]48206.2737541622[/C][C]1568.16449212404[/C][/ROW]
[ROW][C]0.81[/C][C]48583.3714225769[/C][C]1569.421656217[/C][/ROW]
[ROW][C]0.82[/C][C]48978.6961919476[/C][C]1601.39848690351[/C][/ROW]
[ROW][C]0.83[/C][C]49404.5026928904[/C][C]1676.22005553922[/C][/ROW]
[ROW][C]0.84[/C][C]49877.6671071762[/C][C]1810.22810921494[/C][/ROW]
[ROW][C]0.85[/C][C]50420.5364846377[/C][C]2022.26789723936[/C][/ROW]
[ROW][C]0.86[/C][C]51061.304473387[/C][C]2328.7882932827[/C][/ROW]
[ROW][C]0.87[/C][C]51833.5277716651[/C][C]2738.27031032644[/C][/ROW]
[ROW][C]0.88[/C][C]52774.4675366919[/C][C]3246.90023792381[/C][/ROW]
[ROW][C]0.89[/C][C]53922.0754565184[/C][C]3836.8695306052[/C][/ROW]
[ROW][C]0.9[/C][C]55310.6223283981[/C][C]4475.03226710606[/C][/ROW]
[ROW][C]0.91[/C][C]56965.237907405[/C][C]5111.06799149534[/C][/ROW]
[ROW][C]0.92[/C][C]58896.0497970169[/C][C]5676.90826658443[/C][/ROW]
[ROW][C]0.93[/C][C]61092.9426849528[/C][C]6093.02442829593[/C][/ROW]
[ROW][C]0.94[/C][C]63521.4311924291[/C][C]6284.71812212066[/C][/ROW]
[ROW][C]0.95[/C][C]66118.0152898907[/C][C]6199.59680016536[/C][/ROW]
[ROW][C]0.96[/C][C]68780.8957883159[/C][C]5800.66149861896[/C][/ROW]
[ROW][C]0.97[/C][C]71353.6924208411[/C][C]5025.50953236047[/C][/ROW]
[ROW][C]0.98[/C][C]73610.8905355359[/C][C]3801.35224906155[/C][/ROW]
[ROW][C]0.99[/C][C]75274.2838284442[/C][C]2303.92981804517[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238653&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238653&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
0.017871.074617891911859.11818353909
0.029290.457596806233430.56186798865
0.0311326.68533976274792.25986250754
0.0413739.29346383765654.76918916399
0.0516283.33230345366026.35793744703
0.0618761.0670040975982.69497214849
0.0721034.94275513765597.25819750467
0.0823022.94290576044961.10973119327
0.0924690.34226518524193.47370781596
0.126040.91014575233417.56245835856
0.1127106.15709046072726.49172878422
0.1227932.87455033172165.53939928185
0.1328571.56084565891736.93329951374
0.1429068.34573239631418.91126581691
0.1529461.27159782421185.65374757986
0.1629780.0182518661018.65286614993
0.1730047.4030962928908.327129445315
0.1830281.2162241109849.895588159046
0.1930495.6139030218838.454872501388
0.230701.9005701722866.423245624027
0.2130908.8649943576923.797154471653
0.2231122.91800697981000.2172058275
0.2331348.21939515921086.09500089986
0.2431586.88455935951173.29364529438
0.2531839.2848766561255.34566426861
0.2632104.41466367281327.26872411345
0.2732380.28496872221385.90471812609
0.2832664.30734608671429.5866430439
0.2932953.63952554251458.18423982005
0.333245.47454536281472.53918286037
0.3133537.26380165861474.60396201307
0.3233826.87217678551466.76459126143
0.3334112.66962823131451.6848410042
0.3434393.56790952411432.04727642598
0.3534669.01319302221410.63605736388
0.3634938.94546618441389.73163136775
0.3735203.73433076651371.56173309562
0.3835464.09908837751357.66068757791
0.3935721.0194285241349.49603611409
0.435975.64195704731347.46858938123
0.4136229.1871595291351.90153768023
0.4236482.86094709611362.38715347026
0.4336737.77447500541378.17586569593
0.4436994.87540992961398.17497745603
0.4537254.89334390511420.99278284743
0.4637518.30172562011444.99807422734
0.4737785.29850384961468.62496623798
0.4838055.80747955731490.27625249683
0.4938329.50184010511508.45775454931
0.538605.85019836071522.15429286035
0.5138884.18352734791530.70285082271
0.5239163.77877024921533.97380625029
0.5339443.95200501881532.43685392574
0.5439724.15147198821527.1159994949
0.5540004.03925563331519.59368620299
0.5640283.55060321581511.65556732404
0.5740562.92215494031505.19822814858
0.5840842.68469950921502.10261943977
0.5941123.62184036221503.67615923597
0.641406.70199330841510.80129987652
0.6141692.9959040211523.63147618542
0.6241983.59386024231541.67989731015
0.6342279.53499361941564.09363029722
0.6442581.75555891621589.85240880007
0.6542891.05518716281617.99254119785
0.6643208.07235888061647.51326981256
0.6743533.25582339391677.69607790037
0.6843866.82002219071707.541025729
0.6944208.68074031211735.671571513
0.744558.38067080711760.09318754629
0.7144915.0291475891778.42747850699
0.7245277.29009990861787.84410175554
0.7345643.45174548611785.92850687543
0.7446011.59803083991771.40807152813
0.7546379.87787985861744.50521644211
0.7646746.84231972611707.66408334641
0.7747111.80386701771665.310921503
0.7847475.17870365241623.38250751214
0.7947838.80426042031588.64731522023
0.848206.27375416221568.16449212404
0.8148583.37142257691569.421656217
0.8248978.69619194761601.39848690351
0.8349404.50269289041676.22005553922
0.8449877.66710717621810.22810921494
0.8550420.53648463772022.26789723936
0.8651061.3044733872328.7882932827
0.8751833.52777166512738.27031032644
0.8852774.46753669193246.90023792381
0.8953922.07545651843836.8695306052
0.955310.62232839814475.03226710606
0.9156965.2379074055111.06799149534
0.9258896.04979701695676.90826658443
0.9361092.94268495286093.02442829593
0.9463521.43119242916284.71812212066
0.9566118.01528989076199.59680016536
0.9668780.89578831595800.66149861896
0.9771353.69242084115025.50953236047
0.9873610.89053553593801.35224906155
0.9975274.28382844422303.92981804517


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')