FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationTue, 15 Nov 2011 17:23:27 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/15/t13213958223cazyoajnlu79ot.htm/, Retrieved Tue, 16 Apr 2024 21:40:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=143621, Retrieved Tue, 16 Apr 2024 21:40:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact70

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
- RMPD    [Harrell-Davis Quantiles] [mini 2] [2011-11-15 19:37:12] [620e5553455d245695b6e856984b13e0]
- R PD        [Harrell-Davis Quantiles] [mini6] [2011-11-15 22:23:27] [cb05b01fd3da20a46af540a30bcf4c06] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
87,28
87,28
87,09
86,92
87,59
90,72
90,69
90,3
89,55
88,94
88,41
87,82
87,07
86,82
86,4
86,02
85,66
85,32
85
84,67
83,94
82,83
81,95
81,19
80,48
78,86
69,47
68,77
70,06
73,95
75,8
77,79
81,57
83,07
84,34
85,1
85,25
84,26
83,63
86,44
85,3
84,1
83,36
82,48
81,58
80,47
79,34
82,13
81,69
80,7
79,88
79,16
78,38
77,42
76,47
75,46
74,48
78,27
80,7
79,91
78,75
77,78
81,14
81,08
80,03
78,91
78,01
76,9
75,97
81,93
80,27
78,67
77,42
76,16
74,7
76,39
76,04
74,65
73,29
71,79
74,39
74,91
74,54
73,08
72,75
71,32
70,38
70,35
70,01
69,36
67,77
69,26
69,8
68,38
67,62
68,39
66,95
65,21
66,64
63,45
60,66
62,34
60,32
58,64
60,46
58,59
61,87
61,85
67,44
77,06
91,74
93,15
94,15
93,11
91,51
89,96
88,16
86,98
88,03
86,24
84,65
83,23
81,7
80,25
78,8
77,51
76,2
75,04
74
75,49
77,14
76,15
76,27
78,19
76,49
77,31
76,65
74,99
73,51
72,07
70,59
71,96
76,29
74,86
74,93
71,9
71,01
77,47
75,78
76,6
76,07
74,57
73,02
72,65
73,16
71,53
69,78
67,98
69,96
72,16
70,47
68,86
67,37
65,87
72,16
71,34
69,93
68,44
67,16
66,01
67,25
70,91
69,75
68,59
67,48
66,31
64,81
66,58
65,97
64,7
64,7
60,94
59,08
58,42
57,77
57,11
53,31
49,96
49,4
48,84
48,3
47,74
47,24
46,76
46,29
48,9
49,23
48,53
48,03
54,34
53,79
53,24
52,96
52,17
51,7
58,55
78,2
77,03
76,19
77,15
75,87
95,47
109,67
112,28
112,01
107,93
105,96
105,06
102,98
102,2
105,23
101,85
99,89
96,23
94,76
91,51
91,63
91,54
85,23
87,83
87,38
84,44
85,19
84,03
86,73
102,52
104,45
106,98
107,02
99,26
94,45
113,44
157,33
147,38
171,89
171,95
132,71
126,02
121,18
115,45
110,48
117,85
117,63
124,65
109,59
111,27
99,78
98,21
99,2
97,97
89,55
87,91
93,34
94,42
93,2
90,29
91,46
89,98
88,35
88,41
82,44
79,89
75,69
75,66
84,5
96,73
87,48
82,39
83,48
79,31
78,16
72,77
72,45
68,46
67,62
68,76
70,07
68,55
65,3
58,96
59,17
62,37
66,28
55,62
55,23
55,85
56,75
50,89
53,88
52,95
55,08
53,61
58,78
61,85
55,91
53,32
46,41
44,57
50
50
53,36
46,23
50,45
49,07
45,85
48,45
49,96
46,53
50,51
47,58
48,05
46,84
47,67
49,16
55,54
55,82
58,22
56,19
57,77
63,19
54,76
55,74
62,54
61,39
69,6
79,23
80
93,68
107,63
100,18
97,3
90,45
80,64
80,58
75,82
85,59
89,35
89,42
104,73
95,32
89,27
90,44
86,97
79,98
81,22
87,35
83,64
82,22
94,4
102,18

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'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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143621&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143621&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143621&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0146.25653886969270.304261396219172
0.0246.93067630871740.495339409607266
0.0347.63300391631350.547320829951479
0.0448.25239648556660.558318429862925
0.0548.83108038790760.634934730496573
0.0649.45162873967290.809645216072289
0.0750.20461564261291.11174009830468
0.0851.13529506876441.39480826249845
0.0952.15443761763431.45323347488852
0.153.11641837374941.34686007282616
0.1153.97636206084141.28104601141963
0.1254.7824587333881.30417066375355
0.1355.58392300973261.37530533367181
0.1456.40569719743251.47211849608565
0.1557.25542550681341.56440783527619
0.1658.12917600079951.64481531240375
0.1759.0289671837611.75003988798883
0.1859.9704324172821.89511994455139
0.1960.96573214487122.04517762142116
0.262.00618578063012.15067257399422
0.2163.06055442557282.17040906810869
0.2264.08223042923872.07837150689452
0.2365.02197788840051.88298570570448
0.2465.84540123760911.63381802028897
0.2566.54495000859421.39430050424677
0.2667.13744085426661.20690048515007
0.2767.65123190185211.08221256055993
0.2868.11368236461191.00815187363856
0.2968.54488995084720.967620161133696
0.368.95751167467360.945873820700632
0.3169.36014632588030.941217429797304
0.3269.7613634787340.958226020296107
0.3370.17135074334611.00178455090385
0.3470.59974019181541.06541272822808
0.3571.05166814705851.13237018539505
0.3671.5259774781741.18838981582641
0.3772.0170130124691.22670132850892
0.3872.5174966759031.24708398151982
0.3973.01940887267611.24580928438411
0.473.51299831519831.21705538494066
0.4173.9865902057651.15601832858473
0.4274.42871607520551.06707754016991
0.4374.83122766158240.962800024814726
0.4475.1912236428440.857753769750632
0.4575.51127985581340.765059604169497
0.4675.79889112239440.695862879271246
0.4776.06555120420560.660124325612331
0.4876.32492894389860.661075043622852
0.4976.58999216475790.691210450518948
0.576.87022788187840.739774387958771
0.5177.17046227438650.793998788921974
0.5277.49161298509410.845808156324307
0.5377.83229462490840.8913511573736
0.5478.18993429124120.929500936767623
0.5578.56094557914510.95690888835946
0.5678.94056598613330.969868313331951
0.5779.32333851544660.968342326967601
0.5879.70468635195180.956713164231554
0.5980.08295677966820.945207241893294
0.680.46058832228320.944991864412732
0.6180.84347648983760.962579419834337
0.6281.23885237892860.997425418050928
0.6381.6527549161911.04341910198312
0.6482.08787202653211.09011367296499
0.6582.54206445642861.12451262215315
0.6683.00817417055861.1352471949945
0.6783.47602596829141.1185191051865
0.6883.93653160507351.08316339853722
0.6984.38584139008961.04613266564947
0.784.82650966935291.021649278831
0.7185.26405741809461.01081051214317
0.7285.70074442149260.998450188760853
0.7386.13162076073540.965842880490606
0.7486.54757838542030.910728860258477
0.7586.94456964689240.855985072252029
0.7687.33161689679780.8364665900989
0.7787.72990334258510.871900749604763
0.7888.16245317711880.950208984426056
0.7988.64210884993491.03716775396896
0.889.16769854210661.10448382014029
0.8189.73246492604131.15360250519506
0.8290.33832322754511.21543933087425
0.8391.00267685072891.31856825026711
0.8491.74995927949161.4597348934378
0.8592.59741725938121.60956937364392
0.8693.5571853692251.76646523747657
0.8794.65727706228371.97575281622409
0.8895.94323592629222.24576823367391
0.8997.43656283165212.48441642831425
0.999.10414374610372.60372596915056
0.91100.8890584384462.61624682092327
0.92102.7515739880772.56564683383621
0.93104.6783698275222.48674626418258
0.94106.7081274328522.46287406830036
0.95108.9683643302062.57171773853427
0.96111.7805646714223.01596430595947
0.97116.0874086328164.32244657672534
0.98124.7864069310277.83606321575704
0.99147.65336550021815.5069582761581

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 46.2565388696927 & 0.304261396219172 \tabularnewline
0.02 & 46.9306763087174 & 0.495339409607266 \tabularnewline
0.03 & 47.6330039163135 & 0.547320829951479 \tabularnewline
0.04 & 48.2523964855666 & 0.558318429862925 \tabularnewline
0.05 & 48.8310803879076 & 0.634934730496573 \tabularnewline
0.06 & 49.4516287396729 & 0.809645216072289 \tabularnewline
0.07 & 50.2046156426129 & 1.11174009830468 \tabularnewline
0.08 & 51.1352950687644 & 1.39480826249845 \tabularnewline
0.09 & 52.1544376176343 & 1.45323347488852 \tabularnewline
0.1 & 53.1164183737494 & 1.34686007282616 \tabularnewline
0.11 & 53.9763620608414 & 1.28104601141963 \tabularnewline
0.12 & 54.782458733388 & 1.30417066375355 \tabularnewline
0.13 & 55.5839230097326 & 1.37530533367181 \tabularnewline
0.14 & 56.4056971974325 & 1.47211849608565 \tabularnewline
0.15 & 57.2554255068134 & 1.56440783527619 \tabularnewline
0.16 & 58.1291760007995 & 1.64481531240375 \tabularnewline
0.17 & 59.028967183761 & 1.75003988798883 \tabularnewline
0.18 & 59.970432417282 & 1.89511994455139 \tabularnewline
0.19 & 60.9657321448712 & 2.04517762142116 \tabularnewline
0.2 & 62.0061857806301 & 2.15067257399422 \tabularnewline
0.21 & 63.0605544255728 & 2.17040906810869 \tabularnewline
0.22 & 64.0822304292387 & 2.07837150689452 \tabularnewline
0.23 & 65.0219778884005 & 1.88298570570448 \tabularnewline
0.24 & 65.8454012376091 & 1.63381802028897 \tabularnewline
0.25 & 66.5449500085942 & 1.39430050424677 \tabularnewline
0.26 & 67.1374408542666 & 1.20690048515007 \tabularnewline
0.27 & 67.6512319018521 & 1.08221256055993 \tabularnewline
0.28 & 68.1136823646119 & 1.00815187363856 \tabularnewline
0.29 & 68.5448899508472 & 0.967620161133696 \tabularnewline
0.3 & 68.9575116746736 & 0.945873820700632 \tabularnewline
0.31 & 69.3601463258803 & 0.941217429797304 \tabularnewline
0.32 & 69.761363478734 & 0.958226020296107 \tabularnewline
0.33 & 70.1713507433461 & 1.00178455090385 \tabularnewline
0.34 & 70.5997401918154 & 1.06541272822808 \tabularnewline
0.35 & 71.0516681470585 & 1.13237018539505 \tabularnewline
0.36 & 71.525977478174 & 1.18838981582641 \tabularnewline
0.37 & 72.017013012469 & 1.22670132850892 \tabularnewline
0.38 & 72.517496675903 & 1.24708398151982 \tabularnewline
0.39 & 73.0194088726761 & 1.24580928438411 \tabularnewline
0.4 & 73.5129983151983 & 1.21705538494066 \tabularnewline
0.41 & 73.986590205765 & 1.15601832858473 \tabularnewline
0.42 & 74.4287160752055 & 1.06707754016991 \tabularnewline
0.43 & 74.8312276615824 & 0.962800024814726 \tabularnewline
0.44 & 75.191223642844 & 0.857753769750632 \tabularnewline
0.45 & 75.5112798558134 & 0.765059604169497 \tabularnewline
0.46 & 75.7988911223944 & 0.695862879271246 \tabularnewline
0.47 & 76.0655512042056 & 0.660124325612331 \tabularnewline
0.48 & 76.3249289438986 & 0.661075043622852 \tabularnewline
0.49 & 76.5899921647579 & 0.691210450518948 \tabularnewline
0.5 & 76.8702278818784 & 0.739774387958771 \tabularnewline
0.51 & 77.1704622743865 & 0.793998788921974 \tabularnewline
0.52 & 77.4916129850941 & 0.845808156324307 \tabularnewline
0.53 & 77.8322946249084 & 0.8913511573736 \tabularnewline
0.54 & 78.1899342912412 & 0.929500936767623 \tabularnewline
0.55 & 78.5609455791451 & 0.95690888835946 \tabularnewline
0.56 & 78.9405659861333 & 0.969868313331951 \tabularnewline
0.57 & 79.3233385154466 & 0.968342326967601 \tabularnewline
0.58 & 79.7046863519518 & 0.956713164231554 \tabularnewline
0.59 & 80.0829567796682 & 0.945207241893294 \tabularnewline
0.6 & 80.4605883222832 & 0.944991864412732 \tabularnewline
0.61 & 80.8434764898376 & 0.962579419834337 \tabularnewline
0.62 & 81.2388523789286 & 0.997425418050928 \tabularnewline
0.63 & 81.652754916191 & 1.04341910198312 \tabularnewline
0.64 & 82.0878720265321 & 1.09011367296499 \tabularnewline
0.65 & 82.5420644564286 & 1.12451262215315 \tabularnewline
0.66 & 83.0081741705586 & 1.1352471949945 \tabularnewline
0.67 & 83.4760259682914 & 1.1185191051865 \tabularnewline
0.68 & 83.9365316050735 & 1.08316339853722 \tabularnewline
0.69 & 84.3858413900896 & 1.04613266564947 \tabularnewline
0.7 & 84.8265096693529 & 1.021649278831 \tabularnewline
0.71 & 85.2640574180946 & 1.01081051214317 \tabularnewline
0.72 & 85.7007444214926 & 0.998450188760853 \tabularnewline
0.73 & 86.1316207607354 & 0.965842880490606 \tabularnewline
0.74 & 86.5475783854203 & 0.910728860258477 \tabularnewline
0.75 & 86.9445696468924 & 0.855985072252029 \tabularnewline
0.76 & 87.3316168967978 & 0.8364665900989 \tabularnewline
0.77 & 87.7299033425851 & 0.871900749604763 \tabularnewline
0.78 & 88.1624531771188 & 0.950208984426056 \tabularnewline
0.79 & 88.6421088499349 & 1.03716775396896 \tabularnewline
0.8 & 89.1676985421066 & 1.10448382014029 \tabularnewline
0.81 & 89.7324649260413 & 1.15360250519506 \tabularnewline
0.82 & 90.3383232275451 & 1.21543933087425 \tabularnewline
0.83 & 91.0026768507289 & 1.31856825026711 \tabularnewline
0.84 & 91.7499592794916 & 1.4597348934378 \tabularnewline
0.85 & 92.5974172593812 & 1.60956937364392 \tabularnewline
0.86 & 93.557185369225 & 1.76646523747657 \tabularnewline
0.87 & 94.6572770622837 & 1.97575281622409 \tabularnewline
0.88 & 95.9432359262922 & 2.24576823367391 \tabularnewline
0.89 & 97.4365628316521 & 2.48441642831425 \tabularnewline
0.9 & 99.1041437461037 & 2.60372596915056 \tabularnewline
0.91 & 100.889058438446 & 2.61624682092327 \tabularnewline
0.92 & 102.751573988077 & 2.56564683383621 \tabularnewline
0.93 & 104.678369827522 & 2.48674626418258 \tabularnewline
0.94 & 106.708127432852 & 2.46287406830036 \tabularnewline
0.95 & 108.968364330206 & 2.57171773853427 \tabularnewline
0.96 & 111.780564671422 & 3.01596430595947 \tabularnewline
0.97 & 116.087408632816 & 4.32244657672534 \tabularnewline
0.98 & 124.786406931027 & 7.83606321575704 \tabularnewline
0.99 & 147.653365500218 & 15.5069582761581 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143621&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]46.2565388696927[/C][C]0.304261396219172[/C][/ROW]
[ROW][C]0.02[/C][C]46.9306763087174[/C][C]0.495339409607266[/C][/ROW]
[ROW][C]0.03[/C][C]47.6330039163135[/C][C]0.547320829951479[/C][/ROW]
[ROW][C]0.04[/C][C]48.2523964855666[/C][C]0.558318429862925[/C][/ROW]
[ROW][C]0.05[/C][C]48.8310803879076[/C][C]0.634934730496573[/C][/ROW]
[ROW][C]0.06[/C][C]49.4516287396729[/C][C]0.809645216072289[/C][/ROW]
[ROW][C]0.07[/C][C]50.2046156426129[/C][C]1.11174009830468[/C][/ROW]
[ROW][C]0.08[/C][C]51.1352950687644[/C][C]1.39480826249845[/C][/ROW]
[ROW][C]0.09[/C][C]52.1544376176343[/C][C]1.45323347488852[/C][/ROW]
[ROW][C]0.1[/C][C]53.1164183737494[/C][C]1.34686007282616[/C][/ROW]
[ROW][C]0.11[/C][C]53.9763620608414[/C][C]1.28104601141963[/C][/ROW]
[ROW][C]0.12[/C][C]54.782458733388[/C][C]1.30417066375355[/C][/ROW]
[ROW][C]0.13[/C][C]55.5839230097326[/C][C]1.37530533367181[/C][/ROW]
[ROW][C]0.14[/C][C]56.4056971974325[/C][C]1.47211849608565[/C][/ROW]
[ROW][C]0.15[/C][C]57.2554255068134[/C][C]1.56440783527619[/C][/ROW]
[ROW][C]0.16[/C][C]58.1291760007995[/C][C]1.64481531240375[/C][/ROW]
[ROW][C]0.17[/C][C]59.028967183761[/C][C]1.75003988798883[/C][/ROW]
[ROW][C]0.18[/C][C]59.970432417282[/C][C]1.89511994455139[/C][/ROW]
[ROW][C]0.19[/C][C]60.9657321448712[/C][C]2.04517762142116[/C][/ROW]
[ROW][C]0.2[/C][C]62.0061857806301[/C][C]2.15067257399422[/C][/ROW]
[ROW][C]0.21[/C][C]63.0605544255728[/C][C]2.17040906810869[/C][/ROW]
[ROW][C]0.22[/C][C]64.0822304292387[/C][C]2.07837150689452[/C][/ROW]
[ROW][C]0.23[/C][C]65.0219778884005[/C][C]1.88298570570448[/C][/ROW]
[ROW][C]0.24[/C][C]65.8454012376091[/C][C]1.63381802028897[/C][/ROW]
[ROW][C]0.25[/C][C]66.5449500085942[/C][C]1.39430050424677[/C][/ROW]
[ROW][C]0.26[/C][C]67.1374408542666[/C][C]1.20690048515007[/C][/ROW]
[ROW][C]0.27[/C][C]67.6512319018521[/C][C]1.08221256055993[/C][/ROW]
[ROW][C]0.28[/C][C]68.1136823646119[/C][C]1.00815187363856[/C][/ROW]
[ROW][C]0.29[/C][C]68.5448899508472[/C][C]0.967620161133696[/C][/ROW]
[ROW][C]0.3[/C][C]68.9575116746736[/C][C]0.945873820700632[/C][/ROW]
[ROW][C]0.31[/C][C]69.3601463258803[/C][C]0.941217429797304[/C][/ROW]
[ROW][C]0.32[/C][C]69.761363478734[/C][C]0.958226020296107[/C][/ROW]
[ROW][C]0.33[/C][C]70.1713507433461[/C][C]1.00178455090385[/C][/ROW]
[ROW][C]0.34[/C][C]70.5997401918154[/C][C]1.06541272822808[/C][/ROW]
[ROW][C]0.35[/C][C]71.0516681470585[/C][C]1.13237018539505[/C][/ROW]
[ROW][C]0.36[/C][C]71.525977478174[/C][C]1.18838981582641[/C][/ROW]
[ROW][C]0.37[/C][C]72.017013012469[/C][C]1.22670132850892[/C][/ROW]
[ROW][C]0.38[/C][C]72.517496675903[/C][C]1.24708398151982[/C][/ROW]
[ROW][C]0.39[/C][C]73.0194088726761[/C][C]1.24580928438411[/C][/ROW]
[ROW][C]0.4[/C][C]73.5129983151983[/C][C]1.21705538494066[/C][/ROW]
[ROW][C]0.41[/C][C]73.986590205765[/C][C]1.15601832858473[/C][/ROW]
[ROW][C]0.42[/C][C]74.4287160752055[/C][C]1.06707754016991[/C][/ROW]
[ROW][C]0.43[/C][C]74.8312276615824[/C][C]0.962800024814726[/C][/ROW]
[ROW][C]0.44[/C][C]75.191223642844[/C][C]0.857753769750632[/C][/ROW]
[ROW][C]0.45[/C][C]75.5112798558134[/C][C]0.765059604169497[/C][/ROW]
[ROW][C]0.46[/C][C]75.7988911223944[/C][C]0.695862879271246[/C][/ROW]
[ROW][C]0.47[/C][C]76.0655512042056[/C][C]0.660124325612331[/C][/ROW]
[ROW][C]0.48[/C][C]76.3249289438986[/C][C]0.661075043622852[/C][/ROW]
[ROW][C]0.49[/C][C]76.5899921647579[/C][C]0.691210450518948[/C][/ROW]
[ROW][C]0.5[/C][C]76.8702278818784[/C][C]0.739774387958771[/C][/ROW]
[ROW][C]0.51[/C][C]77.1704622743865[/C][C]0.793998788921974[/C][/ROW]
[ROW][C]0.52[/C][C]77.4916129850941[/C][C]0.845808156324307[/C][/ROW]
[ROW][C]0.53[/C][C]77.8322946249084[/C][C]0.8913511573736[/C][/ROW]
[ROW][C]0.54[/C][C]78.1899342912412[/C][C]0.929500936767623[/C][/ROW]
[ROW][C]0.55[/C][C]78.5609455791451[/C][C]0.95690888835946[/C][/ROW]
[ROW][C]0.56[/C][C]78.9405659861333[/C][C]0.969868313331951[/C][/ROW]
[ROW][C]0.57[/C][C]79.3233385154466[/C][C]0.968342326967601[/C][/ROW]
[ROW][C]0.58[/C][C]79.7046863519518[/C][C]0.956713164231554[/C][/ROW]
[ROW][C]0.59[/C][C]80.0829567796682[/C][C]0.945207241893294[/C][/ROW]
[ROW][C]0.6[/C][C]80.4605883222832[/C][C]0.944991864412732[/C][/ROW]
[ROW][C]0.61[/C][C]80.8434764898376[/C][C]0.962579419834337[/C][/ROW]
[ROW][C]0.62[/C][C]81.2388523789286[/C][C]0.997425418050928[/C][/ROW]
[ROW][C]0.63[/C][C]81.652754916191[/C][C]1.04341910198312[/C][/ROW]
[ROW][C]0.64[/C][C]82.0878720265321[/C][C]1.09011367296499[/C][/ROW]
[ROW][C]0.65[/C][C]82.5420644564286[/C][C]1.12451262215315[/C][/ROW]
[ROW][C]0.66[/C][C]83.0081741705586[/C][C]1.1352471949945[/C][/ROW]
[ROW][C]0.67[/C][C]83.4760259682914[/C][C]1.1185191051865[/C][/ROW]
[ROW][C]0.68[/C][C]83.9365316050735[/C][C]1.08316339853722[/C][/ROW]
[ROW][C]0.69[/C][C]84.3858413900896[/C][C]1.04613266564947[/C][/ROW]
[ROW][C]0.7[/C][C]84.8265096693529[/C][C]1.021649278831[/C][/ROW]
[ROW][C]0.71[/C][C]85.2640574180946[/C][C]1.01081051214317[/C][/ROW]
[ROW][C]0.72[/C][C]85.7007444214926[/C][C]0.998450188760853[/C][/ROW]
[ROW][C]0.73[/C][C]86.1316207607354[/C][C]0.965842880490606[/C][/ROW]
[ROW][C]0.74[/C][C]86.5475783854203[/C][C]0.910728860258477[/C][/ROW]
[ROW][C]0.75[/C][C]86.9445696468924[/C][C]0.855985072252029[/C][/ROW]
[ROW][C]0.76[/C][C]87.3316168967978[/C][C]0.8364665900989[/C][/ROW]
[ROW][C]0.77[/C][C]87.7299033425851[/C][C]0.871900749604763[/C][/ROW]
[ROW][C]0.78[/C][C]88.1624531771188[/C][C]0.950208984426056[/C][/ROW]
[ROW][C]0.79[/C][C]88.6421088499349[/C][C]1.03716775396896[/C][/ROW]
[ROW][C]0.8[/C][C]89.1676985421066[/C][C]1.10448382014029[/C][/ROW]
[ROW][C]0.81[/C][C]89.7324649260413[/C][C]1.15360250519506[/C][/ROW]
[ROW][C]0.82[/C][C]90.3383232275451[/C][C]1.21543933087425[/C][/ROW]
[ROW][C]0.83[/C][C]91.0026768507289[/C][C]1.31856825026711[/C][/ROW]
[ROW][C]0.84[/C][C]91.7499592794916[/C][C]1.4597348934378[/C][/ROW]
[ROW][C]0.85[/C][C]92.5974172593812[/C][C]1.60956937364392[/C][/ROW]
[ROW][C]0.86[/C][C]93.557185369225[/C][C]1.76646523747657[/C][/ROW]
[ROW][C]0.87[/C][C]94.6572770622837[/C][C]1.97575281622409[/C][/ROW]
[ROW][C]0.88[/C][C]95.9432359262922[/C][C]2.24576823367391[/C][/ROW]
[ROW][C]0.89[/C][C]97.4365628316521[/C][C]2.48441642831425[/C][/ROW]
[ROW][C]0.9[/C][C]99.1041437461037[/C][C]2.60372596915056[/C][/ROW]
[ROW][C]0.91[/C][C]100.889058438446[/C][C]2.61624682092327[/C][/ROW]
[ROW][C]0.92[/C][C]102.751573988077[/C][C]2.56564683383621[/C][/ROW]
[ROW][C]0.93[/C][C]104.678369827522[/C][C]2.48674626418258[/C][/ROW]
[ROW][C]0.94[/C][C]106.708127432852[/C][C]2.46287406830036[/C][/ROW]
[ROW][C]0.95[/C][C]108.968364330206[/C][C]2.57171773853427[/C][/ROW]
[ROW][C]0.96[/C][C]111.780564671422[/C][C]3.01596430595947[/C][/ROW]
[ROW][C]0.97[/C][C]116.087408632816[/C][C]4.32244657672534[/C][/ROW]
[ROW][C]0.98[/C][C]124.786406931027[/C][C]7.83606321575704[/C][/ROW]
[ROW][C]0.99[/C][C]147.653365500218[/C][C]15.5069582761581[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143621&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143621&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
0.0146.25653886969270.304261396219172
0.0246.93067630871740.495339409607266
0.0347.63300391631350.547320829951479
0.0448.25239648556660.558318429862925
0.0548.83108038790760.634934730496573
0.0649.45162873967290.809645216072289
0.0750.20461564261291.11174009830468
0.0851.13529506876441.39480826249845
0.0952.15443761763431.45323347488852
0.153.11641837374941.34686007282616
0.1153.97636206084141.28104601141963
0.1254.7824587333881.30417066375355
0.1355.58392300973261.37530533367181
0.1456.40569719743251.47211849608565
0.1557.25542550681341.56440783527619
0.1658.12917600079951.64481531240375
0.1759.0289671837611.75003988798883
0.1859.9704324172821.89511994455139
0.1960.96573214487122.04517762142116
0.262.00618578063012.15067257399422
0.2163.06055442557282.17040906810869
0.2264.08223042923872.07837150689452
0.2365.02197788840051.88298570570448
0.2465.84540123760911.63381802028897
0.2566.54495000859421.39430050424677
0.2667.13744085426661.20690048515007
0.2767.65123190185211.08221256055993
0.2868.11368236461191.00815187363856
0.2968.54488995084720.967620161133696
0.368.95751167467360.945873820700632
0.3169.36014632588030.941217429797304
0.3269.7613634787340.958226020296107
0.3370.17135074334611.00178455090385
0.3470.59974019181541.06541272822808
0.3571.05166814705851.13237018539505
0.3671.5259774781741.18838981582641
0.3772.0170130124691.22670132850892
0.3872.5174966759031.24708398151982
0.3973.01940887267611.24580928438411
0.473.51299831519831.21705538494066
0.4173.9865902057651.15601832858473
0.4274.42871607520551.06707754016991
0.4374.83122766158240.962800024814726
0.4475.1912236428440.857753769750632
0.4575.51127985581340.765059604169497
0.4675.79889112239440.695862879271246
0.4776.06555120420560.660124325612331
0.4876.32492894389860.661075043622852
0.4976.58999216475790.691210450518948
0.576.87022788187840.739774387958771
0.5177.17046227438650.793998788921974
0.5277.49161298509410.845808156324307
0.5377.83229462490840.8913511573736
0.5478.18993429124120.929500936767623
0.5578.56094557914510.95690888835946
0.5678.94056598613330.969868313331951
0.5779.32333851544660.968342326967601
0.5879.70468635195180.956713164231554
0.5980.08295677966820.945207241893294
0.680.46058832228320.944991864412732
0.6180.84347648983760.962579419834337
0.6281.23885237892860.997425418050928
0.6381.6527549161911.04341910198312
0.6482.08787202653211.09011367296499
0.6582.54206445642861.12451262215315
0.6683.00817417055861.1352471949945
0.6783.47602596829141.1185191051865
0.6883.93653160507351.08316339853722
0.6984.38584139008961.04613266564947
0.784.82650966935291.021649278831
0.7185.26405741809461.01081051214317
0.7285.70074442149260.998450188760853
0.7386.13162076073540.965842880490606
0.7486.54757838542030.910728860258477
0.7586.94456964689240.855985072252029
0.7687.33161689679780.8364665900989
0.7787.72990334258510.871900749604763
0.7888.16245317711880.950208984426056
0.7988.64210884993491.03716775396896
0.889.16769854210661.10448382014029
0.8189.73246492604131.15360250519506
0.8290.33832322754511.21543933087425
0.8391.00267685072891.31856825026711
0.8491.74995927949161.4597348934378
0.8592.59741725938121.60956937364392
0.8693.5571853692251.76646523747657
0.8794.65727706228371.97575281622409
0.8895.94323592629222.24576823367391
0.8997.43656283165212.48441642831425
0.999.10414374610372.60372596915056
0.91100.8890584384462.61624682092327
0.92102.7515739880772.56564683383621
0.93104.6783698275222.48674626418258
0.94106.7081274328522.46287406830036
0.95108.9683643302062.57171773853427
0.96111.7805646714223.01596430595947
0.97116.0874086328164.32244657672534
0.98124.7864069310277.83606321575704
0.99147.65336550021815.5069582761581


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ;
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')