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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 08 Dec 2014 21:04:15 +0000
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/Dec/08/t14180727442p8l4r3l5sqcwiv.htm/, Retrieved Sun, 19 May 2024 08:48:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264249, Retrieved Sun, 19 May 2024 08:48:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact80

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] [paper harell-davi...] [2014-12-08 21:04:15] [0026b73e132800f62819443873ccc691] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
68
55
39
32
62
33
52
62
77
76
41
48
63
30
78
19
31
66
35
42
45
21
25
44
69
54
74
80
42
61
41
46
39
63
34
51
42
31
39
20
49
53
31
39
54
49
34
46
55
42
50
13
37
25
30
28
45
35
28
41
6
45
73
17
40
64
37
25
65
100
28
35
56
29
43
59
52
50
59
27
61
28
51
35
29
48
25
44
64
32
20
28
34
31
26
58
23
21
21
33
16
20
37
35
33
27
41
40
35
28
32
22
44
27
17
12
45
37
37
108
10
68
72
143
9
55
17
37
27
37
58
66
21
19
78
35
48
27
43
30
25
69
72
23
13
61
43
22
51
67
36
21
44
45
34
36
72
39
43
25
56
80
40
73
34
72
42
61
23
74
16
66
9
41
57
48
51
53
29
29
55
54
43
51
20
79
39
61
55
30
55
22
37
2
38
27
56
25
39
33
43
57
43
23
44
54
28
36
39
16
23
40
24
29
78
57
37
27
61
27
69
34
44
21
34
39
51
34
31
13
12
51
24
19
30
81
42
22
85
27
25
22
19
14
45
45
28
51
41
31
74
24
19
51
73
24
61
23
14
54
51
62
36
59
24
26
54
39
16
36
31
31
42
39
25
31
38
31
17
22
55
62
51
30
49
16

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264249&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264249&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264249&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.018.013899559202382.06950596272653
0.0211.16624448729741.60607655876563
0.0313.01063288733581.36859241724948
0.0414.42037907830621.41115458247982
0.0515.63048247240431.28935806553753
0.0616.64864275716811.24826462749571
0.0717.5896333366051.33270388137659
0.0818.49669580557341.31888380805931
0.0919.31792665625811.200970612757
0.120.0252745497851.07707517564334
0.1120.63577234043680.988284563953288
0.1221.17988078452010.940773028789025
0.1321.6858394006520.932476275758717
0.1422.17537418595950.951508151477611
0.1522.66144249559280.982700002394584
0.1623.14831379445381.01142357063195
0.1723.63332072740711.02600730036697
0.1824.1108560667121.02631446144733
0.1924.57862294999851.02843527962836
0.225.04106607157071.04891246804638
0.2125.50487688974611.08126796843731
0.2225.97037670502461.09787850134478
0.2326.4288954655411.08045906958292
0.2426.86992098095461.040502801694
0.2527.29068318252771.00896646844709
0.2627.69900793767181.00995024704192
0.2728.10803469718911.0452057989321
0.2828.52818104813151.09707953197234
0.2928.96199827492871.1415563871378
0.329.40428280270421.16247735878341
0.3129.84675357313721.16071618188634
0.3230.28450264268891.15465494433913
0.3330.72033254314041.16922861035899
0.3431.16392225586091.21860683275632
0.3531.62586458875061.29317414725428
0.3632.11031980406841.36385053952152
0.3732.61139742264591.40127736735826
0.3833.11586191803381.39358743312714
0.3933.61014629218731.35235653011275
0.434.08676663386691.30245904234576
0.4134.54629460231431.26592925636722
0.4234.99471575189621.25125768735139
0.4335.43900216198521.25397074756044
0.4435.8839824322161.26467483480484
0.4536.33162575939671.27614476462854
0.4636.78177200166691.28452720804451
0.4737.23285970045161.28684703704745
0.4837.68232645482631.27993721801767
0.4938.12748577808261.26456960756252
0.538.56730658080661.24846678942657
0.5139.00399310187891.24385705085989
0.5239.44257387214171.25727530628364
0.5339.88809813562361.28314901471752
0.5440.34229238133721.30630271913311
0.5540.80226042644711.31324329993161
0.5641.26222067838931.30038516470779
0.5741.71698098920131.27530294202113
0.5842.16496074616781.25194454667467
0.5942.60953771585841.24471648489039
0.643.05905805370941.26669308273627
0.6143.52651361511471.32979661114667
0.6244.0291821340321.44522848112344
0.6344.58715691431071.61764104026283
0.6445.21907364619631.83458158809913
0.6545.93464916001272.05898122800835
0.6646.72661935492582.23403951341837
0.6747.56715193547312.30434566021634
0.6848.41319273736422.24338576261225
0.6949.22079184059362.07196183211167
0.749.96247236156921.85516153965833
0.7150.63804893990011.67450782848746
0.7251.27137054752031.58383514093859
0.7351.8937303028451.57605515820955
0.7452.52457749512481.59416760310161
0.7553.16348758113551.5836180105347
0.7653.7994498297191.53676150128585
0.7754.42983510571411.49888346157144
0.7855.07361104080471.53252445793276
0.7955.76780842817381.66584680014299
0.856.54821599377611.86444592234862
0.8157.42562664010282.04435135311857
0.8258.37291827882122.11722135993684
0.8359.33531829653172.0465193890159
0.8460.26458536828041.88852093743388
0.8561.15825582314731.77478607585717
0.8662.07237472758041.82270517804105
0.8763.09128909106212.03336943100119
0.8864.27649161340642.29926598070983
0.8965.6385817224982.51164868075685
0.967.14810546903362.62603656295795
0.9168.74831835105012.61239516287426
0.9270.34377308423892.40525078685878
0.9371.83481071107392.05172876067309
0.9473.25613397035631.86090480229354
0.9574.81702123555822.00552901827252
0.9676.60863619502182.02440472728769
0.9778.59604833890291.87811855333417
0.9882.70742263660424.32374614346453
0.9999.291679604346812.9724525695134

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 8.01389955920238 & 2.06950596272653 \tabularnewline
0.02 & 11.1662444872974 & 1.60607655876563 \tabularnewline
0.03 & 13.0106328873358 & 1.36859241724948 \tabularnewline
0.04 & 14.4203790783062 & 1.41115458247982 \tabularnewline
0.05 & 15.6304824724043 & 1.28935806553753 \tabularnewline
0.06 & 16.6486427571681 & 1.24826462749571 \tabularnewline
0.07 & 17.589633336605 & 1.33270388137659 \tabularnewline
0.08 & 18.4966958055734 & 1.31888380805931 \tabularnewline
0.09 & 19.3179266562581 & 1.200970612757 \tabularnewline
0.1 & 20.025274549785 & 1.07707517564334 \tabularnewline
0.11 & 20.6357723404368 & 0.988284563953288 \tabularnewline
0.12 & 21.1798807845201 & 0.940773028789025 \tabularnewline
0.13 & 21.685839400652 & 0.932476275758717 \tabularnewline
0.14 & 22.1753741859595 & 0.951508151477611 \tabularnewline
0.15 & 22.6614424955928 & 0.982700002394584 \tabularnewline
0.16 & 23.1483137944538 & 1.01142357063195 \tabularnewline
0.17 & 23.6333207274071 & 1.02600730036697 \tabularnewline
0.18 & 24.110856066712 & 1.02631446144733 \tabularnewline
0.19 & 24.5786229499985 & 1.02843527962836 \tabularnewline
0.2 & 25.0410660715707 & 1.04891246804638 \tabularnewline
0.21 & 25.5048768897461 & 1.08126796843731 \tabularnewline
0.22 & 25.9703767050246 & 1.09787850134478 \tabularnewline
0.23 & 26.428895465541 & 1.08045906958292 \tabularnewline
0.24 & 26.8699209809546 & 1.040502801694 \tabularnewline
0.25 & 27.2906831825277 & 1.00896646844709 \tabularnewline
0.26 & 27.6990079376718 & 1.00995024704192 \tabularnewline
0.27 & 28.1080346971891 & 1.0452057989321 \tabularnewline
0.28 & 28.5281810481315 & 1.09707953197234 \tabularnewline
0.29 & 28.9619982749287 & 1.1415563871378 \tabularnewline
0.3 & 29.4042828027042 & 1.16247735878341 \tabularnewline
0.31 & 29.8467535731372 & 1.16071618188634 \tabularnewline
0.32 & 30.2845026426889 & 1.15465494433913 \tabularnewline
0.33 & 30.7203325431404 & 1.16922861035899 \tabularnewline
0.34 & 31.1639222558609 & 1.21860683275632 \tabularnewline
0.35 & 31.6258645887506 & 1.29317414725428 \tabularnewline
0.36 & 32.1103198040684 & 1.36385053952152 \tabularnewline
0.37 & 32.6113974226459 & 1.40127736735826 \tabularnewline
0.38 & 33.1158619180338 & 1.39358743312714 \tabularnewline
0.39 & 33.6101462921873 & 1.35235653011275 \tabularnewline
0.4 & 34.0867666338669 & 1.30245904234576 \tabularnewline
0.41 & 34.5462946023143 & 1.26592925636722 \tabularnewline
0.42 & 34.9947157518962 & 1.25125768735139 \tabularnewline
0.43 & 35.4390021619852 & 1.25397074756044 \tabularnewline
0.44 & 35.883982432216 & 1.26467483480484 \tabularnewline
0.45 & 36.3316257593967 & 1.27614476462854 \tabularnewline
0.46 & 36.7817720016669 & 1.28452720804451 \tabularnewline
0.47 & 37.2328597004516 & 1.28684703704745 \tabularnewline
0.48 & 37.6823264548263 & 1.27993721801767 \tabularnewline
0.49 & 38.1274857780826 & 1.26456960756252 \tabularnewline
0.5 & 38.5673065808066 & 1.24846678942657 \tabularnewline
0.51 & 39.0039931018789 & 1.24385705085989 \tabularnewline
0.52 & 39.4425738721417 & 1.25727530628364 \tabularnewline
0.53 & 39.8880981356236 & 1.28314901471752 \tabularnewline
0.54 & 40.3422923813372 & 1.30630271913311 \tabularnewline
0.55 & 40.8022604264471 & 1.31324329993161 \tabularnewline
0.56 & 41.2622206783893 & 1.30038516470779 \tabularnewline
0.57 & 41.7169809892013 & 1.27530294202113 \tabularnewline
0.58 & 42.1649607461678 & 1.25194454667467 \tabularnewline
0.59 & 42.6095377158584 & 1.24471648489039 \tabularnewline
0.6 & 43.0590580537094 & 1.26669308273627 \tabularnewline
0.61 & 43.5265136151147 & 1.32979661114667 \tabularnewline
0.62 & 44.029182134032 & 1.44522848112344 \tabularnewline
0.63 & 44.5871569143107 & 1.61764104026283 \tabularnewline
0.64 & 45.2190736461963 & 1.83458158809913 \tabularnewline
0.65 & 45.9346491600127 & 2.05898122800835 \tabularnewline
0.66 & 46.7266193549258 & 2.23403951341837 \tabularnewline
0.67 & 47.5671519354731 & 2.30434566021634 \tabularnewline
0.68 & 48.4131927373642 & 2.24338576261225 \tabularnewline
0.69 & 49.2207918405936 & 2.07196183211167 \tabularnewline
0.7 & 49.9624723615692 & 1.85516153965833 \tabularnewline
0.71 & 50.6380489399001 & 1.67450782848746 \tabularnewline
0.72 & 51.2713705475203 & 1.58383514093859 \tabularnewline
0.73 & 51.893730302845 & 1.57605515820955 \tabularnewline
0.74 & 52.5245774951248 & 1.59416760310161 \tabularnewline
0.75 & 53.1634875811355 & 1.5836180105347 \tabularnewline
0.76 & 53.799449829719 & 1.53676150128585 \tabularnewline
0.77 & 54.4298351057141 & 1.49888346157144 \tabularnewline
0.78 & 55.0736110408047 & 1.53252445793276 \tabularnewline
0.79 & 55.7678084281738 & 1.66584680014299 \tabularnewline
0.8 & 56.5482159937761 & 1.86444592234862 \tabularnewline
0.81 & 57.4256266401028 & 2.04435135311857 \tabularnewline
0.82 & 58.3729182788212 & 2.11722135993684 \tabularnewline
0.83 & 59.3353182965317 & 2.0465193890159 \tabularnewline
0.84 & 60.2645853682804 & 1.88852093743388 \tabularnewline
0.85 & 61.1582558231473 & 1.77478607585717 \tabularnewline
0.86 & 62.0723747275804 & 1.82270517804105 \tabularnewline
0.87 & 63.0912890910621 & 2.03336943100119 \tabularnewline
0.88 & 64.2764916134064 & 2.29926598070983 \tabularnewline
0.89 & 65.638581722498 & 2.51164868075685 \tabularnewline
0.9 & 67.1481054690336 & 2.62603656295795 \tabularnewline
0.91 & 68.7483183510501 & 2.61239516287426 \tabularnewline
0.92 & 70.3437730842389 & 2.40525078685878 \tabularnewline
0.93 & 71.8348107110739 & 2.05172876067309 \tabularnewline
0.94 & 73.2561339703563 & 1.86090480229354 \tabularnewline
0.95 & 74.8170212355582 & 2.00552901827252 \tabularnewline
0.96 & 76.6086361950218 & 2.02440472728769 \tabularnewline
0.97 & 78.5960483389029 & 1.87811855333417 \tabularnewline
0.98 & 82.7074226366042 & 4.32374614346453 \tabularnewline
0.99 & 99.2916796043468 & 12.9724525695134 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264249&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]8.01389955920238[/C][C]2.06950596272653[/C][/ROW]
[ROW][C]0.02[/C][C]11.1662444872974[/C][C]1.60607655876563[/C][/ROW]
[ROW][C]0.03[/C][C]13.0106328873358[/C][C]1.36859241724948[/C][/ROW]
[ROW][C]0.04[/C][C]14.4203790783062[/C][C]1.41115458247982[/C][/ROW]
[ROW][C]0.05[/C][C]15.6304824724043[/C][C]1.28935806553753[/C][/ROW]
[ROW][C]0.06[/C][C]16.6486427571681[/C][C]1.24826462749571[/C][/ROW]
[ROW][C]0.07[/C][C]17.589633336605[/C][C]1.33270388137659[/C][/ROW]
[ROW][C]0.08[/C][C]18.4966958055734[/C][C]1.31888380805931[/C][/ROW]
[ROW][C]0.09[/C][C]19.3179266562581[/C][C]1.200970612757[/C][/ROW]
[ROW][C]0.1[/C][C]20.025274549785[/C][C]1.07707517564334[/C][/ROW]
[ROW][C]0.11[/C][C]20.6357723404368[/C][C]0.988284563953288[/C][/ROW]
[ROW][C]0.12[/C][C]21.1798807845201[/C][C]0.940773028789025[/C][/ROW]
[ROW][C]0.13[/C][C]21.685839400652[/C][C]0.932476275758717[/C][/ROW]
[ROW][C]0.14[/C][C]22.1753741859595[/C][C]0.951508151477611[/C][/ROW]
[ROW][C]0.15[/C][C]22.6614424955928[/C][C]0.982700002394584[/C][/ROW]
[ROW][C]0.16[/C][C]23.1483137944538[/C][C]1.01142357063195[/C][/ROW]
[ROW][C]0.17[/C][C]23.6333207274071[/C][C]1.02600730036697[/C][/ROW]
[ROW][C]0.18[/C][C]24.110856066712[/C][C]1.02631446144733[/C][/ROW]
[ROW][C]0.19[/C][C]24.5786229499985[/C][C]1.02843527962836[/C][/ROW]
[ROW][C]0.2[/C][C]25.0410660715707[/C][C]1.04891246804638[/C][/ROW]
[ROW][C]0.21[/C][C]25.5048768897461[/C][C]1.08126796843731[/C][/ROW]
[ROW][C]0.22[/C][C]25.9703767050246[/C][C]1.09787850134478[/C][/ROW]
[ROW][C]0.23[/C][C]26.428895465541[/C][C]1.08045906958292[/C][/ROW]
[ROW][C]0.24[/C][C]26.8699209809546[/C][C]1.040502801694[/C][/ROW]
[ROW][C]0.25[/C][C]27.2906831825277[/C][C]1.00896646844709[/C][/ROW]
[ROW][C]0.26[/C][C]27.6990079376718[/C][C]1.00995024704192[/C][/ROW]
[ROW][C]0.27[/C][C]28.1080346971891[/C][C]1.0452057989321[/C][/ROW]
[ROW][C]0.28[/C][C]28.5281810481315[/C][C]1.09707953197234[/C][/ROW]
[ROW][C]0.29[/C][C]28.9619982749287[/C][C]1.1415563871378[/C][/ROW]
[ROW][C]0.3[/C][C]29.4042828027042[/C][C]1.16247735878341[/C][/ROW]
[ROW][C]0.31[/C][C]29.8467535731372[/C][C]1.16071618188634[/C][/ROW]
[ROW][C]0.32[/C][C]30.2845026426889[/C][C]1.15465494433913[/C][/ROW]
[ROW][C]0.33[/C][C]30.7203325431404[/C][C]1.16922861035899[/C][/ROW]
[ROW][C]0.34[/C][C]31.1639222558609[/C][C]1.21860683275632[/C][/ROW]
[ROW][C]0.35[/C][C]31.6258645887506[/C][C]1.29317414725428[/C][/ROW]
[ROW][C]0.36[/C][C]32.1103198040684[/C][C]1.36385053952152[/C][/ROW]
[ROW][C]0.37[/C][C]32.6113974226459[/C][C]1.40127736735826[/C][/ROW]
[ROW][C]0.38[/C][C]33.1158619180338[/C][C]1.39358743312714[/C][/ROW]
[ROW][C]0.39[/C][C]33.6101462921873[/C][C]1.35235653011275[/C][/ROW]
[ROW][C]0.4[/C][C]34.0867666338669[/C][C]1.30245904234576[/C][/ROW]
[ROW][C]0.41[/C][C]34.5462946023143[/C][C]1.26592925636722[/C][/ROW]
[ROW][C]0.42[/C][C]34.9947157518962[/C][C]1.25125768735139[/C][/ROW]
[ROW][C]0.43[/C][C]35.4390021619852[/C][C]1.25397074756044[/C][/ROW]
[ROW][C]0.44[/C][C]35.883982432216[/C][C]1.26467483480484[/C][/ROW]
[ROW][C]0.45[/C][C]36.3316257593967[/C][C]1.27614476462854[/C][/ROW]
[ROW][C]0.46[/C][C]36.7817720016669[/C][C]1.28452720804451[/C][/ROW]
[ROW][C]0.47[/C][C]37.2328597004516[/C][C]1.28684703704745[/C][/ROW]
[ROW][C]0.48[/C][C]37.6823264548263[/C][C]1.27993721801767[/C][/ROW]
[ROW][C]0.49[/C][C]38.1274857780826[/C][C]1.26456960756252[/C][/ROW]
[ROW][C]0.5[/C][C]38.5673065808066[/C][C]1.24846678942657[/C][/ROW]
[ROW][C]0.51[/C][C]39.0039931018789[/C][C]1.24385705085989[/C][/ROW]
[ROW][C]0.52[/C][C]39.4425738721417[/C][C]1.25727530628364[/C][/ROW]
[ROW][C]0.53[/C][C]39.8880981356236[/C][C]1.28314901471752[/C][/ROW]
[ROW][C]0.54[/C][C]40.3422923813372[/C][C]1.30630271913311[/C][/ROW]
[ROW][C]0.55[/C][C]40.8022604264471[/C][C]1.31324329993161[/C][/ROW]
[ROW][C]0.56[/C][C]41.2622206783893[/C][C]1.30038516470779[/C][/ROW]
[ROW][C]0.57[/C][C]41.7169809892013[/C][C]1.27530294202113[/C][/ROW]
[ROW][C]0.58[/C][C]42.1649607461678[/C][C]1.25194454667467[/C][/ROW]
[ROW][C]0.59[/C][C]42.6095377158584[/C][C]1.24471648489039[/C][/ROW]
[ROW][C]0.6[/C][C]43.0590580537094[/C][C]1.26669308273627[/C][/ROW]
[ROW][C]0.61[/C][C]43.5265136151147[/C][C]1.32979661114667[/C][/ROW]
[ROW][C]0.62[/C][C]44.029182134032[/C][C]1.44522848112344[/C][/ROW]
[ROW][C]0.63[/C][C]44.5871569143107[/C][C]1.61764104026283[/C][/ROW]
[ROW][C]0.64[/C][C]45.2190736461963[/C][C]1.83458158809913[/C][/ROW]
[ROW][C]0.65[/C][C]45.9346491600127[/C][C]2.05898122800835[/C][/ROW]
[ROW][C]0.66[/C][C]46.7266193549258[/C][C]2.23403951341837[/C][/ROW]
[ROW][C]0.67[/C][C]47.5671519354731[/C][C]2.30434566021634[/C][/ROW]
[ROW][C]0.68[/C][C]48.4131927373642[/C][C]2.24338576261225[/C][/ROW]
[ROW][C]0.69[/C][C]49.2207918405936[/C][C]2.07196183211167[/C][/ROW]
[ROW][C]0.7[/C][C]49.9624723615692[/C][C]1.85516153965833[/C][/ROW]
[ROW][C]0.71[/C][C]50.6380489399001[/C][C]1.67450782848746[/C][/ROW]
[ROW][C]0.72[/C][C]51.2713705475203[/C][C]1.58383514093859[/C][/ROW]
[ROW][C]0.73[/C][C]51.893730302845[/C][C]1.57605515820955[/C][/ROW]
[ROW][C]0.74[/C][C]52.5245774951248[/C][C]1.59416760310161[/C][/ROW]
[ROW][C]0.75[/C][C]53.1634875811355[/C][C]1.5836180105347[/C][/ROW]
[ROW][C]0.76[/C][C]53.799449829719[/C][C]1.53676150128585[/C][/ROW]
[ROW][C]0.77[/C][C]54.4298351057141[/C][C]1.49888346157144[/C][/ROW]
[ROW][C]0.78[/C][C]55.0736110408047[/C][C]1.53252445793276[/C][/ROW]
[ROW][C]0.79[/C][C]55.7678084281738[/C][C]1.66584680014299[/C][/ROW]
[ROW][C]0.8[/C][C]56.5482159937761[/C][C]1.86444592234862[/C][/ROW]
[ROW][C]0.81[/C][C]57.4256266401028[/C][C]2.04435135311857[/C][/ROW]
[ROW][C]0.82[/C][C]58.3729182788212[/C][C]2.11722135993684[/C][/ROW]
[ROW][C]0.83[/C][C]59.3353182965317[/C][C]2.0465193890159[/C][/ROW]
[ROW][C]0.84[/C][C]60.2645853682804[/C][C]1.88852093743388[/C][/ROW]
[ROW][C]0.85[/C][C]61.1582558231473[/C][C]1.77478607585717[/C][/ROW]
[ROW][C]0.86[/C][C]62.0723747275804[/C][C]1.82270517804105[/C][/ROW]
[ROW][C]0.87[/C][C]63.0912890910621[/C][C]2.03336943100119[/C][/ROW]
[ROW][C]0.88[/C][C]64.2764916134064[/C][C]2.29926598070983[/C][/ROW]
[ROW][C]0.89[/C][C]65.638581722498[/C][C]2.51164868075685[/C][/ROW]
[ROW][C]0.9[/C][C]67.1481054690336[/C][C]2.62603656295795[/C][/ROW]
[ROW][C]0.91[/C][C]68.7483183510501[/C][C]2.61239516287426[/C][/ROW]
[ROW][C]0.92[/C][C]70.3437730842389[/C][C]2.40525078685878[/C][/ROW]
[ROW][C]0.93[/C][C]71.8348107110739[/C][C]2.05172876067309[/C][/ROW]
[ROW][C]0.94[/C][C]73.2561339703563[/C][C]1.86090480229354[/C][/ROW]
[ROW][C]0.95[/C][C]74.8170212355582[/C][C]2.00552901827252[/C][/ROW]
[ROW][C]0.96[/C][C]76.6086361950218[/C][C]2.02440472728769[/C][/ROW]
[ROW][C]0.97[/C][C]78.5960483389029[/C][C]1.87811855333417[/C][/ROW]
[ROW][C]0.98[/C][C]82.7074226366042[/C][C]4.32374614346453[/C][/ROW]
[ROW][C]0.99[/C][C]99.2916796043468[/C][C]12.9724525695134[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264249&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264249&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
0.018.013899559202382.06950596272653
0.0211.16624448729741.60607655876563
0.0313.01063288733581.36859241724948
0.0414.42037907830621.41115458247982
0.0515.63048247240431.28935806553753
0.0616.64864275716811.24826462749571
0.0717.5896333366051.33270388137659
0.0818.49669580557341.31888380805931
0.0919.31792665625811.200970612757
0.120.0252745497851.07707517564334
0.1120.63577234043680.988284563953288
0.1221.17988078452010.940773028789025
0.1321.6858394006520.932476275758717
0.1422.17537418595950.951508151477611
0.1522.66144249559280.982700002394584
0.1623.14831379445381.01142357063195
0.1723.63332072740711.02600730036697
0.1824.1108560667121.02631446144733
0.1924.57862294999851.02843527962836
0.225.04106607157071.04891246804638
0.2125.50487688974611.08126796843731
0.2225.97037670502461.09787850134478
0.2326.4288954655411.08045906958292
0.2426.86992098095461.040502801694
0.2527.29068318252771.00896646844709
0.2627.69900793767181.00995024704192
0.2728.10803469718911.0452057989321
0.2828.52818104813151.09707953197234
0.2928.96199827492871.1415563871378
0.329.40428280270421.16247735878341
0.3129.84675357313721.16071618188634
0.3230.28450264268891.15465494433913
0.3330.72033254314041.16922861035899
0.3431.16392225586091.21860683275632
0.3531.62586458875061.29317414725428
0.3632.11031980406841.36385053952152
0.3732.61139742264591.40127736735826
0.3833.11586191803381.39358743312714
0.3933.61014629218731.35235653011275
0.434.08676663386691.30245904234576
0.4134.54629460231431.26592925636722
0.4234.99471575189621.25125768735139
0.4335.43900216198521.25397074756044
0.4435.8839824322161.26467483480484
0.4536.33162575939671.27614476462854
0.4636.78177200166691.28452720804451
0.4737.23285970045161.28684703704745
0.4837.68232645482631.27993721801767
0.4938.12748577808261.26456960756252
0.538.56730658080661.24846678942657
0.5139.00399310187891.24385705085989
0.5239.44257387214171.25727530628364
0.5339.88809813562361.28314901471752
0.5440.34229238133721.30630271913311
0.5540.80226042644711.31324329993161
0.5641.26222067838931.30038516470779
0.5741.71698098920131.27530294202113
0.5842.16496074616781.25194454667467
0.5942.60953771585841.24471648489039
0.643.05905805370941.26669308273627
0.6143.52651361511471.32979661114667
0.6244.0291821340321.44522848112344
0.6344.58715691431071.61764104026283
0.6445.21907364619631.83458158809913
0.6545.93464916001272.05898122800835
0.6646.72661935492582.23403951341837
0.6747.56715193547312.30434566021634
0.6848.41319273736422.24338576261225
0.6949.22079184059362.07196183211167
0.749.96247236156921.85516153965833
0.7150.63804893990011.67450782848746
0.7251.27137054752031.58383514093859
0.7351.8937303028451.57605515820955
0.7452.52457749512481.59416760310161
0.7553.16348758113551.5836180105347
0.7653.7994498297191.53676150128585
0.7754.42983510571411.49888346157144
0.7855.07361104080471.53252445793276
0.7955.76780842817381.66584680014299
0.856.54821599377611.86444592234862
0.8157.42562664010282.04435135311857
0.8258.37291827882122.11722135993684
0.8359.33531829653172.0465193890159
0.8460.26458536828041.88852093743388
0.8561.15825582314731.77478607585717
0.8662.07237472758041.82270517804105
0.8763.09128909106212.03336943100119
0.8864.27649161340642.29926598070983
0.8965.6385817224982.51164868075685
0.967.14810546903362.62603656295795
0.9168.74831835105012.61239516287426
0.9270.34377308423892.40525078685878
0.9371.83481071107392.05172876067309
0.9473.25613397035631.86090480229354
0.9574.81702123555822.00552901827252
0.9676.60863619502182.02440472728769
0.9778.59604833890291.87811855333417
0.9882.70742263660424.32374614346453
0.9999.291679604346812.9724525695134


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')