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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 computationTue, 11 Aug 2015 18:20:28 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Aug/11/t14393136600uiq3vonf28n3wq.htm/, Retrieved Wed, 15 May 2024 13:07:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=280020, Retrieved Wed, 15 May 2024 13:07:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131

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] [] [2015-08-11 17:20:28] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
48600
46800
49500
39600
51300
50400
54000
55800
62100
54000
51300
63900
54000
40500
47700
36000
50400
41400
54900
49500
52200
58500
57600
68400
49500
41400
45900
33300
47700
36900
52200
49500
44100
63000
56700
64800
48600
45000
40500
33300
44100
39600
54000
52200
45000
60300
55800
72000
57600
35100
35100
35100
41400
41400
55800
51300
45900
57600
53100
76500
60300
35100
36900
30600
42300
48600
61200
60300
48600
56700
50400
72000
54900
44100
39600
29700
44100
53100
62100
58500
43200
62100
48600
74700
62100
45000
41400
27900
44100
42300
63900
63900
48600
63000
46800
72900
62100
45900
35100
24300
47700
45900
60300
69300
51300
57600
43200
74700

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280020&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280020&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280020&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 time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0126144.51884991892840.83286725686
0.0228475.64487139492344.75896438215
0.0330364.5943637952227.91834269952
0.0431833.56033707632078.86232863165
0.0532990.49967638811778.26855077092
0.0633881.71045116141436.49265290175
0.0734562.68546146671199.24004972334
0.0835115.13601136811157.97463076915
0.0935624.05940694441303.44574664831
0.136152.7011067081543.39423468853
0.1136730.22369239861777.04216386729
0.1237353.42795046211933.43429162748
0.1337997.87225646531980.63405681848
0.1438631.84006704251923.23173280544
0.1539227.80568427151790.8825942705
0.1639768.82907994691623.33799561949
0.1740249.93384979281458.04689513749
0.1840676.01321231031322.55130267682
0.1941058.11479189971231.6377908405
0.241409.5501927511187.23260944196
0.2141742.69359551521180.35617769087
0.2242066.87821103751195.60769200076
0.2342387.50825326691216.51871272488
0.2442706.29000423561230.45157884458
0.2543022.29165508951231.00561239154
0.2643333.3955389071218.40916333665
0.2743637.67283124571198.02420946592
0.2843934.31745192231177.38794802438
0.2944223.98077377811163.59192193692
0.344508.5642248431161.17626503497
0.3144790.67119173211171.06155690806
0.3245072.95699632161191.44766253699
0.3345357.56405078671218.58488792242
0.3445645.73885956261247.70252779643
0.3545937.64865856311274.02408048323
0.3646232.37464758631292.85327150064
0.3746528.05310909731300.33482660942
0.3846822.14399213971294.03037677854
0.3947111.80689050341273.08809330937
0.447394.34772519671239.16191554815
0.4147667.67286583751195.9993433757
0.4247930.66743119591149.15841544901
0.4348183.416337891105.01282717611
0.4448427.2155656281069.64349617303
0.4548664.36977183761047.52582212452
0.4648897.82477047931040.7936510509
0.4749130.72206055891049.04644560751
0.4849365.9757679611069.62827068041
0.4949605.95767472171098.84207886625
0.549852.34009173341132.83644593176
0.5150106.10136891791168.36326132908
0.5250367.6580518471203.26632957487
0.5350637.06157481131236.63179437836
0.5450914.19147085271268.42081382299
0.5551198.89122150321299.15019304792
0.5651491.02152036041328.97620140711
0.5751790.43923187151357.86088695586
0.5852096.93733731661385.14208903167
0.5952410.19212415211409.84345436288
0.652729.75479411421431.1095204386
0.6153055.09944963361448.54637386259
0.6253385.70920904961462.58492395378
0.6353721.16118296331474.01344145264
0.6454061.17012801431483.80176550752
0.6554405.57183298741492.59944068826
0.6654754.26191047581500.44952958404
0.6755107.13701919061506.81945671541
0.6855464.09599661441511.34167405866
0.6955825.13742499131514.12738075496
0.756190.54057103211516.54811999165
0.7156561.05621904121521.06680460141
0.7256937.99100897131530.84349754711
0.7357323.07151776081547.84198056022
0.7457718.03532766781571.8906367018
0.7558124.00133000671599.29021648034
0.7658540.77918240061622.99263025883
0.7758966.33803259981634.23567384684
0.7859396.63761018951624.72330532436
0.7959825.94129650711589.00536349515
0.860247.62300549811525.69325594549
0.8160655.3859496941438.26183896546
0.8261044.73799352991335.13155716539
0.8361414.50750243361229.49337396712
0.8461768.16957788911138.45861092755
0.8562114.87806637291081.18697936891
0.8662470.40074590261076.73362475912
0.8762858.39939237621144.21052322016
0.8863312.10788993981305.83321748388
0.8963874.94577833011584.6020583725
0.964596.48832018521984.86115483093
0.9165519.7499741142461.77555959301
0.9266659.9615712232905.37027221364
0.9367984.3151663133165.73449800206
0.9469409.97962119773126.34658960164
0.9570831.31946300332789.6763694148
0.9672162.67719233342291.03114487305
0.9773370.78631340691775.69794972317
0.9874502.47293569951327.03833891775
0.9975641.66777474371316.75290047136

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 26144.5188499189 & 2840.83286725686 \tabularnewline
0.02 & 28475.6448713949 & 2344.75896438215 \tabularnewline
0.03 & 30364.594363795 & 2227.91834269952 \tabularnewline
0.04 & 31833.5603370763 & 2078.86232863165 \tabularnewline
0.05 & 32990.4996763881 & 1778.26855077092 \tabularnewline
0.06 & 33881.7104511614 & 1436.49265290175 \tabularnewline
0.07 & 34562.6854614667 & 1199.24004972334 \tabularnewline
0.08 & 35115.1360113681 & 1157.97463076915 \tabularnewline
0.09 & 35624.0594069444 & 1303.44574664831 \tabularnewline
0.1 & 36152.701106708 & 1543.39423468853 \tabularnewline
0.11 & 36730.2236923986 & 1777.04216386729 \tabularnewline
0.12 & 37353.4279504621 & 1933.43429162748 \tabularnewline
0.13 & 37997.8722564653 & 1980.63405681848 \tabularnewline
0.14 & 38631.8400670425 & 1923.23173280544 \tabularnewline
0.15 & 39227.8056842715 & 1790.8825942705 \tabularnewline
0.16 & 39768.8290799469 & 1623.33799561949 \tabularnewline
0.17 & 40249.9338497928 & 1458.04689513749 \tabularnewline
0.18 & 40676.0132123103 & 1322.55130267682 \tabularnewline
0.19 & 41058.1147918997 & 1231.6377908405 \tabularnewline
0.2 & 41409.550192751 & 1187.23260944196 \tabularnewline
0.21 & 41742.6935955152 & 1180.35617769087 \tabularnewline
0.22 & 42066.8782110375 & 1195.60769200076 \tabularnewline
0.23 & 42387.5082532669 & 1216.51871272488 \tabularnewline
0.24 & 42706.2900042356 & 1230.45157884458 \tabularnewline
0.25 & 43022.2916550895 & 1231.00561239154 \tabularnewline
0.26 & 43333.395538907 & 1218.40916333665 \tabularnewline
0.27 & 43637.6728312457 & 1198.02420946592 \tabularnewline
0.28 & 43934.3174519223 & 1177.38794802438 \tabularnewline
0.29 & 44223.9807737781 & 1163.59192193692 \tabularnewline
0.3 & 44508.564224843 & 1161.17626503497 \tabularnewline
0.31 & 44790.6711917321 & 1171.06155690806 \tabularnewline
0.32 & 45072.9569963216 & 1191.44766253699 \tabularnewline
0.33 & 45357.5640507867 & 1218.58488792242 \tabularnewline
0.34 & 45645.7388595626 & 1247.70252779643 \tabularnewline
0.35 & 45937.6486585631 & 1274.02408048323 \tabularnewline
0.36 & 46232.3746475863 & 1292.85327150064 \tabularnewline
0.37 & 46528.0531090973 & 1300.33482660942 \tabularnewline
0.38 & 46822.1439921397 & 1294.03037677854 \tabularnewline
0.39 & 47111.8068905034 & 1273.08809330937 \tabularnewline
0.4 & 47394.3477251967 & 1239.16191554815 \tabularnewline
0.41 & 47667.6728658375 & 1195.9993433757 \tabularnewline
0.42 & 47930.6674311959 & 1149.15841544901 \tabularnewline
0.43 & 48183.41633789 & 1105.01282717611 \tabularnewline
0.44 & 48427.215565628 & 1069.64349617303 \tabularnewline
0.45 & 48664.3697718376 & 1047.52582212452 \tabularnewline
0.46 & 48897.8247704793 & 1040.7936510509 \tabularnewline
0.47 & 49130.7220605589 & 1049.04644560751 \tabularnewline
0.48 & 49365.975767961 & 1069.62827068041 \tabularnewline
0.49 & 49605.9576747217 & 1098.84207886625 \tabularnewline
0.5 & 49852.3400917334 & 1132.83644593176 \tabularnewline
0.51 & 50106.1013689179 & 1168.36326132908 \tabularnewline
0.52 & 50367.658051847 & 1203.26632957487 \tabularnewline
0.53 & 50637.0615748113 & 1236.63179437836 \tabularnewline
0.54 & 50914.1914708527 & 1268.42081382299 \tabularnewline
0.55 & 51198.8912215032 & 1299.15019304792 \tabularnewline
0.56 & 51491.0215203604 & 1328.97620140711 \tabularnewline
0.57 & 51790.4392318715 & 1357.86088695586 \tabularnewline
0.58 & 52096.9373373166 & 1385.14208903167 \tabularnewline
0.59 & 52410.1921241521 & 1409.84345436288 \tabularnewline
0.6 & 52729.7547941142 & 1431.1095204386 \tabularnewline
0.61 & 53055.0994496336 & 1448.54637386259 \tabularnewline
0.62 & 53385.7092090496 & 1462.58492395378 \tabularnewline
0.63 & 53721.1611829633 & 1474.01344145264 \tabularnewline
0.64 & 54061.1701280143 & 1483.80176550752 \tabularnewline
0.65 & 54405.5718329874 & 1492.59944068826 \tabularnewline
0.66 & 54754.2619104758 & 1500.44952958404 \tabularnewline
0.67 & 55107.1370191906 & 1506.81945671541 \tabularnewline
0.68 & 55464.0959966144 & 1511.34167405866 \tabularnewline
0.69 & 55825.1374249913 & 1514.12738075496 \tabularnewline
0.7 & 56190.5405710321 & 1516.54811999165 \tabularnewline
0.71 & 56561.0562190412 & 1521.06680460141 \tabularnewline
0.72 & 56937.9910089713 & 1530.84349754711 \tabularnewline
0.73 & 57323.0715177608 & 1547.84198056022 \tabularnewline
0.74 & 57718.0353276678 & 1571.8906367018 \tabularnewline
0.75 & 58124.0013300067 & 1599.29021648034 \tabularnewline
0.76 & 58540.7791824006 & 1622.99263025883 \tabularnewline
0.77 & 58966.3380325998 & 1634.23567384684 \tabularnewline
0.78 & 59396.6376101895 & 1624.72330532436 \tabularnewline
0.79 & 59825.9412965071 & 1589.00536349515 \tabularnewline
0.8 & 60247.6230054981 & 1525.69325594549 \tabularnewline
0.81 & 60655.385949694 & 1438.26183896546 \tabularnewline
0.82 & 61044.7379935299 & 1335.13155716539 \tabularnewline
0.83 & 61414.5075024336 & 1229.49337396712 \tabularnewline
0.84 & 61768.1695778891 & 1138.45861092755 \tabularnewline
0.85 & 62114.8780663729 & 1081.18697936891 \tabularnewline
0.86 & 62470.4007459026 & 1076.73362475912 \tabularnewline
0.87 & 62858.3993923762 & 1144.21052322016 \tabularnewline
0.88 & 63312.1078899398 & 1305.83321748388 \tabularnewline
0.89 & 63874.9457783301 & 1584.6020583725 \tabularnewline
0.9 & 64596.4883201852 & 1984.86115483093 \tabularnewline
0.91 & 65519.749974114 & 2461.77555959301 \tabularnewline
0.92 & 66659.961571223 & 2905.37027221364 \tabularnewline
0.93 & 67984.315166313 & 3165.73449800206 \tabularnewline
0.94 & 69409.9796211977 & 3126.34658960164 \tabularnewline
0.95 & 70831.3194630033 & 2789.6763694148 \tabularnewline
0.96 & 72162.6771923334 & 2291.03114487305 \tabularnewline
0.97 & 73370.7863134069 & 1775.69794972317 \tabularnewline
0.98 & 74502.4729356995 & 1327.03833891775 \tabularnewline
0.99 & 75641.6677747437 & 1316.75290047136 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280020&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]26144.5188499189[/C][C]2840.83286725686[/C][/ROW]
[ROW][C]0.02[/C][C]28475.6448713949[/C][C]2344.75896438215[/C][/ROW]
[ROW][C]0.03[/C][C]30364.594363795[/C][C]2227.91834269952[/C][/ROW]
[ROW][C]0.04[/C][C]31833.5603370763[/C][C]2078.86232863165[/C][/ROW]
[ROW][C]0.05[/C][C]32990.4996763881[/C][C]1778.26855077092[/C][/ROW]
[ROW][C]0.06[/C][C]33881.7104511614[/C][C]1436.49265290175[/C][/ROW]
[ROW][C]0.07[/C][C]34562.6854614667[/C][C]1199.24004972334[/C][/ROW]
[ROW][C]0.08[/C][C]35115.1360113681[/C][C]1157.97463076915[/C][/ROW]
[ROW][C]0.09[/C][C]35624.0594069444[/C][C]1303.44574664831[/C][/ROW]
[ROW][C]0.1[/C][C]36152.701106708[/C][C]1543.39423468853[/C][/ROW]
[ROW][C]0.11[/C][C]36730.2236923986[/C][C]1777.04216386729[/C][/ROW]
[ROW][C]0.12[/C][C]37353.4279504621[/C][C]1933.43429162748[/C][/ROW]
[ROW][C]0.13[/C][C]37997.8722564653[/C][C]1980.63405681848[/C][/ROW]
[ROW][C]0.14[/C][C]38631.8400670425[/C][C]1923.23173280544[/C][/ROW]
[ROW][C]0.15[/C][C]39227.8056842715[/C][C]1790.8825942705[/C][/ROW]
[ROW][C]0.16[/C][C]39768.8290799469[/C][C]1623.33799561949[/C][/ROW]
[ROW][C]0.17[/C][C]40249.9338497928[/C][C]1458.04689513749[/C][/ROW]
[ROW][C]0.18[/C][C]40676.0132123103[/C][C]1322.55130267682[/C][/ROW]
[ROW][C]0.19[/C][C]41058.1147918997[/C][C]1231.6377908405[/C][/ROW]
[ROW][C]0.2[/C][C]41409.550192751[/C][C]1187.23260944196[/C][/ROW]
[ROW][C]0.21[/C][C]41742.6935955152[/C][C]1180.35617769087[/C][/ROW]
[ROW][C]0.22[/C][C]42066.8782110375[/C][C]1195.60769200076[/C][/ROW]
[ROW][C]0.23[/C][C]42387.5082532669[/C][C]1216.51871272488[/C][/ROW]
[ROW][C]0.24[/C][C]42706.2900042356[/C][C]1230.45157884458[/C][/ROW]
[ROW][C]0.25[/C][C]43022.2916550895[/C][C]1231.00561239154[/C][/ROW]
[ROW][C]0.26[/C][C]43333.395538907[/C][C]1218.40916333665[/C][/ROW]
[ROW][C]0.27[/C][C]43637.6728312457[/C][C]1198.02420946592[/C][/ROW]
[ROW][C]0.28[/C][C]43934.3174519223[/C][C]1177.38794802438[/C][/ROW]
[ROW][C]0.29[/C][C]44223.9807737781[/C][C]1163.59192193692[/C][/ROW]
[ROW][C]0.3[/C][C]44508.564224843[/C][C]1161.17626503497[/C][/ROW]
[ROW][C]0.31[/C][C]44790.6711917321[/C][C]1171.06155690806[/C][/ROW]
[ROW][C]0.32[/C][C]45072.9569963216[/C][C]1191.44766253699[/C][/ROW]
[ROW][C]0.33[/C][C]45357.5640507867[/C][C]1218.58488792242[/C][/ROW]
[ROW][C]0.34[/C][C]45645.7388595626[/C][C]1247.70252779643[/C][/ROW]
[ROW][C]0.35[/C][C]45937.6486585631[/C][C]1274.02408048323[/C][/ROW]
[ROW][C]0.36[/C][C]46232.3746475863[/C][C]1292.85327150064[/C][/ROW]
[ROW][C]0.37[/C][C]46528.0531090973[/C][C]1300.33482660942[/C][/ROW]
[ROW][C]0.38[/C][C]46822.1439921397[/C][C]1294.03037677854[/C][/ROW]
[ROW][C]0.39[/C][C]47111.8068905034[/C][C]1273.08809330937[/C][/ROW]
[ROW][C]0.4[/C][C]47394.3477251967[/C][C]1239.16191554815[/C][/ROW]
[ROW][C]0.41[/C][C]47667.6728658375[/C][C]1195.9993433757[/C][/ROW]
[ROW][C]0.42[/C][C]47930.6674311959[/C][C]1149.15841544901[/C][/ROW]
[ROW][C]0.43[/C][C]48183.41633789[/C][C]1105.01282717611[/C][/ROW]
[ROW][C]0.44[/C][C]48427.215565628[/C][C]1069.64349617303[/C][/ROW]
[ROW][C]0.45[/C][C]48664.3697718376[/C][C]1047.52582212452[/C][/ROW]
[ROW][C]0.46[/C][C]48897.8247704793[/C][C]1040.7936510509[/C][/ROW]
[ROW][C]0.47[/C][C]49130.7220605589[/C][C]1049.04644560751[/C][/ROW]
[ROW][C]0.48[/C][C]49365.975767961[/C][C]1069.62827068041[/C][/ROW]
[ROW][C]0.49[/C][C]49605.9576747217[/C][C]1098.84207886625[/C][/ROW]
[ROW][C]0.5[/C][C]49852.3400917334[/C][C]1132.83644593176[/C][/ROW]
[ROW][C]0.51[/C][C]50106.1013689179[/C][C]1168.36326132908[/C][/ROW]
[ROW][C]0.52[/C][C]50367.658051847[/C][C]1203.26632957487[/C][/ROW]
[ROW][C]0.53[/C][C]50637.0615748113[/C][C]1236.63179437836[/C][/ROW]
[ROW][C]0.54[/C][C]50914.1914708527[/C][C]1268.42081382299[/C][/ROW]
[ROW][C]0.55[/C][C]51198.8912215032[/C][C]1299.15019304792[/C][/ROW]
[ROW][C]0.56[/C][C]51491.0215203604[/C][C]1328.97620140711[/C][/ROW]
[ROW][C]0.57[/C][C]51790.4392318715[/C][C]1357.86088695586[/C][/ROW]
[ROW][C]0.58[/C][C]52096.9373373166[/C][C]1385.14208903167[/C][/ROW]
[ROW][C]0.59[/C][C]52410.1921241521[/C][C]1409.84345436288[/C][/ROW]
[ROW][C]0.6[/C][C]52729.7547941142[/C][C]1431.1095204386[/C][/ROW]
[ROW][C]0.61[/C][C]53055.0994496336[/C][C]1448.54637386259[/C][/ROW]
[ROW][C]0.62[/C][C]53385.7092090496[/C][C]1462.58492395378[/C][/ROW]
[ROW][C]0.63[/C][C]53721.1611829633[/C][C]1474.01344145264[/C][/ROW]
[ROW][C]0.64[/C][C]54061.1701280143[/C][C]1483.80176550752[/C][/ROW]
[ROW][C]0.65[/C][C]54405.5718329874[/C][C]1492.59944068826[/C][/ROW]
[ROW][C]0.66[/C][C]54754.2619104758[/C][C]1500.44952958404[/C][/ROW]
[ROW][C]0.67[/C][C]55107.1370191906[/C][C]1506.81945671541[/C][/ROW]
[ROW][C]0.68[/C][C]55464.0959966144[/C][C]1511.34167405866[/C][/ROW]
[ROW][C]0.69[/C][C]55825.1374249913[/C][C]1514.12738075496[/C][/ROW]
[ROW][C]0.7[/C][C]56190.5405710321[/C][C]1516.54811999165[/C][/ROW]
[ROW][C]0.71[/C][C]56561.0562190412[/C][C]1521.06680460141[/C][/ROW]
[ROW][C]0.72[/C][C]56937.9910089713[/C][C]1530.84349754711[/C][/ROW]
[ROW][C]0.73[/C][C]57323.0715177608[/C][C]1547.84198056022[/C][/ROW]
[ROW][C]0.74[/C][C]57718.0353276678[/C][C]1571.8906367018[/C][/ROW]
[ROW][C]0.75[/C][C]58124.0013300067[/C][C]1599.29021648034[/C][/ROW]
[ROW][C]0.76[/C][C]58540.7791824006[/C][C]1622.99263025883[/C][/ROW]
[ROW][C]0.77[/C][C]58966.3380325998[/C][C]1634.23567384684[/C][/ROW]
[ROW][C]0.78[/C][C]59396.6376101895[/C][C]1624.72330532436[/C][/ROW]
[ROW][C]0.79[/C][C]59825.9412965071[/C][C]1589.00536349515[/C][/ROW]
[ROW][C]0.8[/C][C]60247.6230054981[/C][C]1525.69325594549[/C][/ROW]
[ROW][C]0.81[/C][C]60655.385949694[/C][C]1438.26183896546[/C][/ROW]
[ROW][C]0.82[/C][C]61044.7379935299[/C][C]1335.13155716539[/C][/ROW]
[ROW][C]0.83[/C][C]61414.5075024336[/C][C]1229.49337396712[/C][/ROW]
[ROW][C]0.84[/C][C]61768.1695778891[/C][C]1138.45861092755[/C][/ROW]
[ROW][C]0.85[/C][C]62114.8780663729[/C][C]1081.18697936891[/C][/ROW]
[ROW][C]0.86[/C][C]62470.4007459026[/C][C]1076.73362475912[/C][/ROW]
[ROW][C]0.87[/C][C]62858.3993923762[/C][C]1144.21052322016[/C][/ROW]
[ROW][C]0.88[/C][C]63312.1078899398[/C][C]1305.83321748388[/C][/ROW]
[ROW][C]0.89[/C][C]63874.9457783301[/C][C]1584.6020583725[/C][/ROW]
[ROW][C]0.9[/C][C]64596.4883201852[/C][C]1984.86115483093[/C][/ROW]
[ROW][C]0.91[/C][C]65519.749974114[/C][C]2461.77555959301[/C][/ROW]
[ROW][C]0.92[/C][C]66659.961571223[/C][C]2905.37027221364[/C][/ROW]
[ROW][C]0.93[/C][C]67984.315166313[/C][C]3165.73449800206[/C][/ROW]
[ROW][C]0.94[/C][C]69409.9796211977[/C][C]3126.34658960164[/C][/ROW]
[ROW][C]0.95[/C][C]70831.3194630033[/C][C]2789.6763694148[/C][/ROW]
[ROW][C]0.96[/C][C]72162.6771923334[/C][C]2291.03114487305[/C][/ROW]
[ROW][C]0.97[/C][C]73370.7863134069[/C][C]1775.69794972317[/C][/ROW]
[ROW][C]0.98[/C][C]74502.4729356995[/C][C]1327.03833891775[/C][/ROW]
[ROW][C]0.99[/C][C]75641.6677747437[/C][C]1316.75290047136[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280020&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280020&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
0.0126144.51884991892840.83286725686
0.0228475.64487139492344.75896438215
0.0330364.5943637952227.91834269952
0.0431833.56033707632078.86232863165
0.0532990.49967638811778.26855077092
0.0633881.71045116141436.49265290175
0.0734562.68546146671199.24004972334
0.0835115.13601136811157.97463076915
0.0935624.05940694441303.44574664831
0.136152.7011067081543.39423468853
0.1136730.22369239861777.04216386729
0.1237353.42795046211933.43429162748
0.1337997.87225646531980.63405681848
0.1438631.84006704251923.23173280544
0.1539227.80568427151790.8825942705
0.1639768.82907994691623.33799561949
0.1740249.93384979281458.04689513749
0.1840676.01321231031322.55130267682
0.1941058.11479189971231.6377908405
0.241409.5501927511187.23260944196
0.2141742.69359551521180.35617769087
0.2242066.87821103751195.60769200076
0.2342387.50825326691216.51871272488
0.2442706.29000423561230.45157884458
0.2543022.29165508951231.00561239154
0.2643333.3955389071218.40916333665
0.2743637.67283124571198.02420946592
0.2843934.31745192231177.38794802438
0.2944223.98077377811163.59192193692
0.344508.5642248431161.17626503497
0.3144790.67119173211171.06155690806
0.3245072.95699632161191.44766253699
0.3345357.56405078671218.58488792242
0.3445645.73885956261247.70252779643
0.3545937.64865856311274.02408048323
0.3646232.37464758631292.85327150064
0.3746528.05310909731300.33482660942
0.3846822.14399213971294.03037677854
0.3947111.80689050341273.08809330937
0.447394.34772519671239.16191554815
0.4147667.67286583751195.9993433757
0.4247930.66743119591149.15841544901
0.4348183.416337891105.01282717611
0.4448427.2155656281069.64349617303
0.4548664.36977183761047.52582212452
0.4648897.82477047931040.7936510509
0.4749130.72206055891049.04644560751
0.4849365.9757679611069.62827068041
0.4949605.95767472171098.84207886625
0.549852.34009173341132.83644593176
0.5150106.10136891791168.36326132908
0.5250367.6580518471203.26632957487
0.5350637.06157481131236.63179437836
0.5450914.19147085271268.42081382299
0.5551198.89122150321299.15019304792
0.5651491.02152036041328.97620140711
0.5751790.43923187151357.86088695586
0.5852096.93733731661385.14208903167
0.5952410.19212415211409.84345436288
0.652729.75479411421431.1095204386
0.6153055.09944963361448.54637386259
0.6253385.70920904961462.58492395378
0.6353721.16118296331474.01344145264
0.6454061.17012801431483.80176550752
0.6554405.57183298741492.59944068826
0.6654754.26191047581500.44952958404
0.6755107.13701919061506.81945671541
0.6855464.09599661441511.34167405866
0.6955825.13742499131514.12738075496
0.756190.54057103211516.54811999165
0.7156561.05621904121521.06680460141
0.7256937.99100897131530.84349754711
0.7357323.07151776081547.84198056022
0.7457718.03532766781571.8906367018
0.7558124.00133000671599.29021648034
0.7658540.77918240061622.99263025883
0.7758966.33803259981634.23567384684
0.7859396.63761018951624.72330532436
0.7959825.94129650711589.00536349515
0.860247.62300549811525.69325594549
0.8160655.3859496941438.26183896546
0.8261044.73799352991335.13155716539
0.8361414.50750243361229.49337396712
0.8461768.16957788911138.45861092755
0.8562114.87806637291081.18697936891
0.8662470.40074590261076.73362475912
0.8762858.39939237621144.21052322016
0.8863312.10788993981305.83321748388
0.8963874.94577833011584.6020583725
0.964596.48832018521984.86115483093
0.9165519.7499741142461.77555959301
0.9266659.9615712232905.37027221364
0.9367984.3151663133165.73449800206
0.9469409.97962119773126.34658960164
0.9570831.31946300332789.6763694148
0.9672162.67719233342291.03114487305
0.9773370.78631340691775.69794972317
0.9874502.47293569951327.03833891775
0.9975641.66777474371316.75290047136


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 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')