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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 17 Apr 2008 11:50:23 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Apr/17/t12084546686lbwhzts8qiqdce.htm/, Retrieved Thu, 30 May 2024 09:44:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=10179, Retrieved Thu, 30 May 2024 09:44:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact358
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Arabica Price in ...] [2008-01-05 23:14:31] [74be16979710d4c4e7c6647856088456]
- RMPD    [Harrell-Davis Quantiles] [my better solution 2] [2008-04-17 17:50:23] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
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




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=10179&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=10179&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10179&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0146.25653886969270.304261396219172
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
0.153.11641837374951.34686007282616
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
0.1960.96573214487132.04517762142116
0.262.00618578063012.15067257399422
0.2163.06055442557282.17040906810869
0.2264.08223042923872.07837150689452
0.2365.02197788840041.88298570570448
0.2465.84540123760921.63381802028897
0.2566.54495000859421.39430050424677
0.2667.13744085426661.20690048515007
0.2767.65123190185221.08221256055993
0.2868.11368236461191.00815187363856
0.2968.54488995084720.967620161133696
0.368.95751167467360.945873820700632
0.3169.36014632588030.941217429797304
0.3269.7613634787340.958226020296107
0.3370.17135074334611.00178455090385
0.3470.59974019181531.06541272822808
0.3571.05166814705851.13237018539505
0.3671.5259774781741.18838981582641
0.3772.01701301246911.22670132850892
0.3872.5174966759031.24708398151982
0.3973.01940887267611.24580928438411
0.473.51299831519841.21705538494066
0.4173.98659020576491.15601832858473
0.4274.42871607520551.06707754016991
0.4374.83122766158240.962800024814726
0.4475.1912236428440.857753769750632
0.4575.51127985581340.765059604169497
0.4675.79889112239430.695862879271246
0.4776.06555120420560.660124325612331
0.4876.32492894389860.661075043622852
0.4976.58999216475790.691210450518948
0.576.87022788187850.739774387958771
0.5177.17046227438640.793998788921974
0.5277.49161298509410.845808156324307
0.5377.83229462490850.8913511573736
0.5478.18993429124120.929500936767623
0.5578.56094557914510.95690888835946
0.5678.94056598613330.96986831333195
0.5779.32333851544660.968342326967601
0.5879.70468635195180.956713164231554
0.5980.08295677966820.945207241893294
0.680.46058832228330.944991864412732
0.6180.84347648983750.962579419834337
0.6281.23885237892860.997425418050928
0.6381.6527549161911.04341910198312
0.6482.0878720265321.09011367296499
0.6582.54206445642861.12451262215315
0.6683.00817417055851.13524719499450
0.6783.47602596829141.11851910518650
0.6883.93653160507351.08316339853722
0.6984.38584139008971.04613266564947
0.784.82650966935291.02164927883100
0.7185.26405741809451.01081051214317
0.7285.70074442149250.998450188760853
0.7386.13162076073540.965842880490606
0.7486.54757838542030.910728860258477
0.7586.94456964689250.85598507225203
0.7687.33161689679780.8364665900989
0.7787.72990334258510.871900749604763
0.7888.16245317711870.950208984426056
0.7988.6421088499351.03716775396896
0.889.16769854210671.10448382014029
0.8189.73246492604131.15360250519506
0.8290.33832322754511.21543933087425
0.8391.00267685072891.31856825026711
0.8491.74995927949161.45973489343780
0.8592.59741725938121.60956937364392
0.8693.5571853692251.76646523747657
0.8794.65727706228381.97575281622409
0.8895.94323592629222.24576823367391
0.8997.43656283165212.48441642831425
0.999.10414374610362.60372596915056
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 & 53.1164183737495 & 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 & 60.9657321448713 & 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 & 65.0219778884004 & 1.88298570570448 \tabularnewline
0.24 & 65.8454012376092 & 1.63381802028897 \tabularnewline
0.25 & 66.5449500085942 & 1.39430050424677 \tabularnewline
0.26 & 67.1374408542666 & 1.20690048515007 \tabularnewline
0.27 & 67.6512319018522 & 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 & 70.5997401918153 & 1.06541272822808 \tabularnewline
0.35 & 71.0516681470585 & 1.13237018539505 \tabularnewline
0.36 & 71.525977478174 & 1.18838981582641 \tabularnewline
0.37 & 72.0170130124691 & 1.22670132850892 \tabularnewline
0.38 & 72.517496675903 & 1.24708398151982 \tabularnewline
0.39 & 73.0194088726761 & 1.24580928438411 \tabularnewline
0.4 & 73.5129983151984 & 1.21705538494066 \tabularnewline
0.41 & 73.9865902057649 & 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 & 75.7988911223943 & 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 & 76.8702278818785 & 0.739774387958771 \tabularnewline
0.51 & 77.1704622743864 & 0.793998788921974 \tabularnewline
0.52 & 77.4916129850941 & 0.845808156324307 \tabularnewline
0.53 & 77.8322946249085 & 0.8913511573736 \tabularnewline
0.54 & 78.1899342912412 & 0.929500936767623 \tabularnewline
0.55 & 78.5609455791451 & 0.95690888835946 \tabularnewline
0.56 & 78.9405659861333 & 0.96986831333195 \tabularnewline
0.57 & 79.3233385154466 & 0.968342326967601 \tabularnewline
0.58 & 79.7046863519518 & 0.956713164231554 \tabularnewline
0.59 & 80.0829567796682 & 0.945207241893294 \tabularnewline
0.6 & 80.4605883222833 & 0.944991864412732 \tabularnewline
0.61 & 80.8434764898375 & 0.962579419834337 \tabularnewline
0.62 & 81.2388523789286 & 0.997425418050928 \tabularnewline
0.63 & 81.652754916191 & 1.04341910198312 \tabularnewline
0.64 & 82.087872026532 & 1.09011367296499 \tabularnewline
0.65 & 82.5420644564286 & 1.12451262215315 \tabularnewline
0.66 & 83.0081741705585 & 1.13524719499450 \tabularnewline
0.67 & 83.4760259682914 & 1.11851910518650 \tabularnewline
0.68 & 83.9365316050735 & 1.08316339853722 \tabularnewline
0.69 & 84.3858413900897 & 1.04613266564947 \tabularnewline
0.7 & 84.8265096693529 & 1.02164927883100 \tabularnewline
0.71 & 85.2640574180945 & 1.01081051214317 \tabularnewline
0.72 & 85.7007444214925 & 0.998450188760853 \tabularnewline
0.73 & 86.1316207607354 & 0.965842880490606 \tabularnewline
0.74 & 86.5475783854203 & 0.910728860258477 \tabularnewline
0.75 & 86.9445696468925 & 0.85598507225203 \tabularnewline
0.76 & 87.3316168967978 & 0.8364665900989 \tabularnewline
0.77 & 87.7299033425851 & 0.871900749604763 \tabularnewline
0.78 & 88.1624531771187 & 0.950208984426056 \tabularnewline
0.79 & 88.642108849935 & 1.03716775396896 \tabularnewline
0.8 & 89.1676985421067 & 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 & 1.45973489343780 \tabularnewline
0.85 & 92.5974172593812 & 1.60956937364392 \tabularnewline
0.86 & 93.557185369225 & 1.76646523747657 \tabularnewline
0.87 & 94.6572770622838 & 1.97575281622409 \tabularnewline
0.88 & 95.9432359262922 & 2.24576823367391 \tabularnewline
0.89 & 97.4365628316521 & 2.48441642831425 \tabularnewline
0.9 & 99.1041437461036 & 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=10179&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]53.1164183737495[/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]60.9657321448713[/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]65.0219778884004[/C][C]1.88298570570448[/C][/ROW]
[ROW][C]0.24[/C][C]65.8454012376092[/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]67.6512319018522[/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]70.5997401918153[/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]72.0170130124691[/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]73.5129983151984[/C][C]1.21705538494066[/C][/ROW]
[ROW][C]0.41[/C][C]73.9865902057649[/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]75.7988911223943[/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]76.8702278818785[/C][C]0.739774387958771[/C][/ROW]
[ROW][C]0.51[/C][C]77.1704622743864[/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]77.8322946249085[/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]0.96986831333195[/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]80.4605883222833[/C][C]0.944991864412732[/C][/ROW]
[ROW][C]0.61[/C][C]80.8434764898375[/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]82.087872026532[/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]83.0081741705585[/C][C]1.13524719499450[/C][/ROW]
[ROW][C]0.67[/C][C]83.4760259682914[/C][C]1.11851910518650[/C][/ROW]
[ROW][C]0.68[/C][C]83.9365316050735[/C][C]1.08316339853722[/C][/ROW]
[ROW][C]0.69[/C][C]84.3858413900897[/C][C]1.04613266564947[/C][/ROW]
[ROW][C]0.7[/C][C]84.8265096693529[/C][C]1.02164927883100[/C][/ROW]
[ROW][C]0.71[/C][C]85.2640574180945[/C][C]1.01081051214317[/C][/ROW]
[ROW][C]0.72[/C][C]85.7007444214925[/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]86.9445696468925[/C][C]0.85598507225203[/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]88.1624531771187[/C][C]0.950208984426056[/C][/ROW]
[ROW][C]0.79[/C][C]88.642108849935[/C][C]1.03716775396896[/C][/ROW]
[ROW][C]0.8[/C][C]89.1676985421067[/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]1.45973489343780[/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]94.6572770622838[/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]99.1041437461036[/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=10179&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10179&T=1

As an alternative you can also use a 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
0.153.11641837374951.34686007282616
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
0.1960.96573214487132.04517762142116
0.262.00618578063012.15067257399422
0.2163.06055442557282.17040906810869
0.2264.08223042923872.07837150689452
0.2365.02197788840041.88298570570448
0.2465.84540123760921.63381802028897
0.2566.54495000859421.39430050424677
0.2667.13744085426661.20690048515007
0.2767.65123190185221.08221256055993
0.2868.11368236461191.00815187363856
0.2968.54488995084720.967620161133696
0.368.95751167467360.945873820700632
0.3169.36014632588030.941217429797304
0.3269.7613634787340.958226020296107
0.3370.17135074334611.00178455090385
0.3470.59974019181531.06541272822808
0.3571.05166814705851.13237018539505
0.3671.5259774781741.18838981582641
0.3772.01701301246911.22670132850892
0.3872.5174966759031.24708398151982
0.3973.01940887267611.24580928438411
0.473.51299831519841.21705538494066
0.4173.98659020576491.15601832858473
0.4274.42871607520551.06707754016991
0.4374.83122766158240.962800024814726
0.4475.1912236428440.857753769750632
0.4575.51127985581340.765059604169497
0.4675.79889112239430.695862879271246
0.4776.06555120420560.660124325612331
0.4876.32492894389860.661075043622852
0.4976.58999216475790.691210450518948
0.576.87022788187850.739774387958771
0.5177.17046227438640.793998788921974
0.5277.49161298509410.845808156324307
0.5377.83229462490850.8913511573736
0.5478.18993429124120.929500936767623
0.5578.56094557914510.95690888835946
0.5678.94056598613330.96986831333195
0.5779.32333851544660.968342326967601
0.5879.70468635195180.956713164231554
0.5980.08295677966820.945207241893294
0.680.46058832228330.944991864412732
0.6180.84347648983750.962579419834337
0.6281.23885237892860.997425418050928
0.6381.6527549161911.04341910198312
0.6482.0878720265321.09011367296499
0.6582.54206445642861.12451262215315
0.6683.00817417055851.13524719499450
0.6783.47602596829141.11851910518650
0.6883.93653160507351.08316339853722
0.6984.38584139008971.04613266564947
0.784.82650966935291.02164927883100
0.7185.26405741809451.01081051214317
0.7285.70074442149250.998450188760853
0.7386.13162076073540.965842880490606
0.7486.54757838542030.910728860258477
0.7586.94456964689250.85598507225203
0.7687.33161689679780.8364665900989
0.7787.72990334258510.871900749604763
0.7888.16245317711870.950208984426056
0.7988.6421088499351.03716775396896
0.889.16769854210671.10448382014029
0.8189.73246492604131.15360250519506
0.8290.33832322754511.21543933087425
0.8391.00267685072891.31856825026711
0.8491.74995927949161.45973489343780
0.8592.59741725938121.60956937364392
0.8693.5571853692251.76646523747657
0.8794.65727706228381.97575281622409
0.8895.94323592629222.24576823367391
0.8997.43656283165212.48441642831425
0.999.10414374610362.60372596915056
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



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()

bitmap(file='hist.png')
hist(x,main="my histogram")
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')