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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 computationFri, 13 Jul 2012 05:24:21 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Jul/13/t1342171495sfvn3crrcwvtoqh.htm/, Retrieved Sun, 28 Apr 2024 08:04:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=168793, Retrieved Sun, 28 Apr 2024 08:04:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsMargot Avonts
Estimated Impact159

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] [Tijdreeks 2 - stap 6] [2012-07-13 09:24:21] [f26bc165187ae19198203e315c1ca52f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1120
1120
1190
1190
1190
1190
1070
1200
1090
1130
1140
1240
1180
1080
1190
1140
1160
1200
980
1260
1100
1210
1150
1140
1110
1120
1100
1170
1120
1250
910
1260
1090
1240
1130
1200
1120
1120
1120
1070
1100
1230
930
1240
980
1270
1140
1160
1160
1220
1160
1090
1060
1230
1070
1240
1050
1350
1100
1130
1170
1360
1150
1180
1010
1190
1000
1270
990
1470
1130
1150
1150
1410
1190
1180
990
1170
1080
1350
960
1490
1120
1090
1220
1370
1180
1190
1000
1250
1090
1370
980
1530
1150
1120
1290
1370
1130
1200
910
1220
1040
1340
950
1500
1120
1150

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'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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168793&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168793&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168793&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01914.55091056920210.7820489444346
0.02925.83781393066120.0897298935084
0.03940.46407916063622.5255823844573
0.04954.48524885919820.8363626240308
0.05966.14724947948717.9479067012519
0.06975.47277577189215.8157319578314
0.07983.2967282363515.6836509003892
0.08990.63003010443517.7346379722444
0.09998.2942420045621.2046468312799
0.11006.7406209519125.0104198264152
0.111016.0166571999528.1223305209572
0.121025.8416040895629.7984856336025
0.131035.747753010429.7457994397514
0.141045.2401478223428.1394999705607
0.151053.9270990375425.4862784836488
0.161061.588807171922.3990675231951
0.171068.1796405705519.3949094001261
0.181073.7850825445116.7979296117085
0.191078.563775220514.741407843101
0.21082.6981260623613.2366539425483
0.211086.3628155499912.2380831682708
0.221089.7089706773611.6761042764943
0.231092.8571767807211.4587128486597
0.241095.8938264214311.4656900892197
0.251098.8689706634811.5528019118276
0.261101.7967117969311.5786924474204
0.271104.6599137414611.4248839581796
0.281107.4198888694511.0311901643359
0.291110.0298267516610.397412877703
0.31112.449163954899.58085253317039
0.311114.655546320738.69295436179629
0.321116.651662737717.86038727381589
0.331118.465725258087.20457088577803
0.341120.146149444256.81571431126704
0.351121.752430225286.7261763559831
0.361123.344883885366.90774198391524
0.371124.97573419717.28689472167923
0.381126.683176923477.78409549056723
0.391128.488964063138.32014266587654
0.41130.399108510178.82894479463233
0.411132.406769642369.27006360183892
0.421134.496277051949.61553619570362
0.431136.647447872169.85558436518016
0.441138.839648642119.99898384815039
0.451141.0552796628610.0683971350954
0.461143.2824552342410.0906427413566
0.471145.5166573603310.1097235114301
0.481147.7611473615810.1620620679675
0.491150.0260100964710.2798006436403
0.51152.3258993259310.4780074856001
0.511154.6768019946810.7564897829392
0.521157.0923571100811.0908952464124
0.531159.580372553411.4445216664177
0.541162.1401467171511.7694674788924
0.551164.7610434016512.0177906286173
0.561167.4225488407112.1442228181213
0.571170.0958261116612.1131304883821
0.581172.7466170818211.9103653144921
0.591175.3392292004511.537849840413
0.61177.8412560723911.0177875068583
0.611180.2285819163210.3972898744209
0.621182.49009811749.73925585280585
0.631184.631443926789.12721463259034
0.641186.677039099588.65214167593124
0.651188.669777782178.40174360733956
0.661190.668038907778.44628617946117
0.671192.740109527718.81732717625935
0.681194.956616429569.49902692787126
0.691197.3819886875410.4324150479287
0.71200.0662222423611.5246071907302
0.711203.0382425942612.6679680751185
0.721206.3019857136613.7468005050245
0.731209.8360010458614.6566621110413
0.741213.5969843431315.318565956695
0.751217.5272104789415.6883588103644
0.761221.5653831980115.7729677318317
0.771225.6599971588915.6289241614791
0.781229.7840167882615.370674572849
0.791233.9496374876815.1583059755724
0.81238.2220952400215.1988209936081
0.811242.7315243245215.7264913840474
0.821247.6808110620616.9875578740446
0.831253.344324775519.1964593858006
0.841260.0478107388522.46663369472
0.851268.1171882724326.6882209285276
0.861277.7900575418231.409820157062
0.871289.1036757551735.7990467861983
0.881301.8036160268238.7999187830374
0.891315.3418950161239.4971360997337
0.91329.0293788720637.6084105003857
0.911342.3608799231433.8933134729801
0.921355.4431373676230.3283310567638
0.931369.3289511720729.8509978500531
0.941385.9156607059834.6076697187353
0.951407.0494987800542.8464588633618
0.961432.9581026000248.5944532004816
0.971461.3212642682545.4383766056229
0.981488.8798684085133.766433144751
0.991513.6555763041426.1125466821438

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 914.550910569202 & 10.7820489444346 \tabularnewline
0.02 & 925.837813930661 & 20.0897298935084 \tabularnewline
0.03 & 940.464079160636 & 22.5255823844573 \tabularnewline
0.04 & 954.485248859198 & 20.8363626240308 \tabularnewline
0.05 & 966.147249479487 & 17.9479067012519 \tabularnewline
0.06 & 975.472775771892 & 15.8157319578314 \tabularnewline
0.07 & 983.29672823635 & 15.6836509003892 \tabularnewline
0.08 & 990.630030104435 & 17.7346379722444 \tabularnewline
0.09 & 998.29424200456 & 21.2046468312799 \tabularnewline
0.1 & 1006.74062095191 & 25.0104198264152 \tabularnewline
0.11 & 1016.01665719995 & 28.1223305209572 \tabularnewline
0.12 & 1025.84160408956 & 29.7984856336025 \tabularnewline
0.13 & 1035.7477530104 & 29.7457994397514 \tabularnewline
0.14 & 1045.24014782234 & 28.1394999705607 \tabularnewline
0.15 & 1053.92709903754 & 25.4862784836488 \tabularnewline
0.16 & 1061.5888071719 & 22.3990675231951 \tabularnewline
0.17 & 1068.17964057055 & 19.3949094001261 \tabularnewline
0.18 & 1073.78508254451 & 16.7979296117085 \tabularnewline
0.19 & 1078.5637752205 & 14.741407843101 \tabularnewline
0.2 & 1082.69812606236 & 13.2366539425483 \tabularnewline
0.21 & 1086.36281554999 & 12.2380831682708 \tabularnewline
0.22 & 1089.70897067736 & 11.6761042764943 \tabularnewline
0.23 & 1092.85717678072 & 11.4587128486597 \tabularnewline
0.24 & 1095.89382642143 & 11.4656900892197 \tabularnewline
0.25 & 1098.86897066348 & 11.5528019118276 \tabularnewline
0.26 & 1101.79671179693 & 11.5786924474204 \tabularnewline
0.27 & 1104.65991374146 & 11.4248839581796 \tabularnewline
0.28 & 1107.41988886945 & 11.0311901643359 \tabularnewline
0.29 & 1110.02982675166 & 10.397412877703 \tabularnewline
0.3 & 1112.44916395489 & 9.58085253317039 \tabularnewline
0.31 & 1114.65554632073 & 8.69295436179629 \tabularnewline
0.32 & 1116.65166273771 & 7.86038727381589 \tabularnewline
0.33 & 1118.46572525808 & 7.20457088577803 \tabularnewline
0.34 & 1120.14614944425 & 6.81571431126704 \tabularnewline
0.35 & 1121.75243022528 & 6.7261763559831 \tabularnewline
0.36 & 1123.34488388536 & 6.90774198391524 \tabularnewline
0.37 & 1124.9757341971 & 7.28689472167923 \tabularnewline
0.38 & 1126.68317692347 & 7.78409549056723 \tabularnewline
0.39 & 1128.48896406313 & 8.32014266587654 \tabularnewline
0.4 & 1130.39910851017 & 8.82894479463233 \tabularnewline
0.41 & 1132.40676964236 & 9.27006360183892 \tabularnewline
0.42 & 1134.49627705194 & 9.61553619570362 \tabularnewline
0.43 & 1136.64744787216 & 9.85558436518016 \tabularnewline
0.44 & 1138.83964864211 & 9.99898384815039 \tabularnewline
0.45 & 1141.05527966286 & 10.0683971350954 \tabularnewline
0.46 & 1143.28245523424 & 10.0906427413566 \tabularnewline
0.47 & 1145.51665736033 & 10.1097235114301 \tabularnewline
0.48 & 1147.76114736158 & 10.1620620679675 \tabularnewline
0.49 & 1150.02601009647 & 10.2798006436403 \tabularnewline
0.5 & 1152.32589932593 & 10.4780074856001 \tabularnewline
0.51 & 1154.67680199468 & 10.7564897829392 \tabularnewline
0.52 & 1157.09235711008 & 11.0908952464124 \tabularnewline
0.53 & 1159.5803725534 & 11.4445216664177 \tabularnewline
0.54 & 1162.14014671715 & 11.7694674788924 \tabularnewline
0.55 & 1164.76104340165 & 12.0177906286173 \tabularnewline
0.56 & 1167.42254884071 & 12.1442228181213 \tabularnewline
0.57 & 1170.09582611166 & 12.1131304883821 \tabularnewline
0.58 & 1172.74661708182 & 11.9103653144921 \tabularnewline
0.59 & 1175.33922920045 & 11.537849840413 \tabularnewline
0.6 & 1177.84125607239 & 11.0177875068583 \tabularnewline
0.61 & 1180.22858191632 & 10.3972898744209 \tabularnewline
0.62 & 1182.4900981174 & 9.73925585280585 \tabularnewline
0.63 & 1184.63144392678 & 9.12721463259034 \tabularnewline
0.64 & 1186.67703909958 & 8.65214167593124 \tabularnewline
0.65 & 1188.66977778217 & 8.40174360733956 \tabularnewline
0.66 & 1190.66803890777 & 8.44628617946117 \tabularnewline
0.67 & 1192.74010952771 & 8.81732717625935 \tabularnewline
0.68 & 1194.95661642956 & 9.49902692787126 \tabularnewline
0.69 & 1197.38198868754 & 10.4324150479287 \tabularnewline
0.7 & 1200.06622224236 & 11.5246071907302 \tabularnewline
0.71 & 1203.03824259426 & 12.6679680751185 \tabularnewline
0.72 & 1206.30198571366 & 13.7468005050245 \tabularnewline
0.73 & 1209.83600104586 & 14.6566621110413 \tabularnewline
0.74 & 1213.59698434313 & 15.318565956695 \tabularnewline
0.75 & 1217.52721047894 & 15.6883588103644 \tabularnewline
0.76 & 1221.56538319801 & 15.7729677318317 \tabularnewline
0.77 & 1225.65999715889 & 15.6289241614791 \tabularnewline
0.78 & 1229.78401678826 & 15.370674572849 \tabularnewline
0.79 & 1233.94963748768 & 15.1583059755724 \tabularnewline
0.8 & 1238.22209524002 & 15.1988209936081 \tabularnewline
0.81 & 1242.73152432452 & 15.7264913840474 \tabularnewline
0.82 & 1247.68081106206 & 16.9875578740446 \tabularnewline
0.83 & 1253.3443247755 & 19.1964593858006 \tabularnewline
0.84 & 1260.04781073885 & 22.46663369472 \tabularnewline
0.85 & 1268.11718827243 & 26.6882209285276 \tabularnewline
0.86 & 1277.79005754182 & 31.409820157062 \tabularnewline
0.87 & 1289.10367575517 & 35.7990467861983 \tabularnewline
0.88 & 1301.80361602682 & 38.7999187830374 \tabularnewline
0.89 & 1315.34189501612 & 39.4971360997337 \tabularnewline
0.9 & 1329.02937887206 & 37.6084105003857 \tabularnewline
0.91 & 1342.36087992314 & 33.8933134729801 \tabularnewline
0.92 & 1355.44313736762 & 30.3283310567638 \tabularnewline
0.93 & 1369.32895117207 & 29.8509978500531 \tabularnewline
0.94 & 1385.91566070598 & 34.6076697187353 \tabularnewline
0.95 & 1407.04949878005 & 42.8464588633618 \tabularnewline
0.96 & 1432.95810260002 & 48.5944532004816 \tabularnewline
0.97 & 1461.32126426825 & 45.4383766056229 \tabularnewline
0.98 & 1488.87986840851 & 33.766433144751 \tabularnewline
0.99 & 1513.65557630414 & 26.1125466821438 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168793&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]914.550910569202[/C][C]10.7820489444346[/C][/ROW]
[ROW][C]0.02[/C][C]925.837813930661[/C][C]20.0897298935084[/C][/ROW]
[ROW][C]0.03[/C][C]940.464079160636[/C][C]22.5255823844573[/C][/ROW]
[ROW][C]0.04[/C][C]954.485248859198[/C][C]20.8363626240308[/C][/ROW]
[ROW][C]0.05[/C][C]966.147249479487[/C][C]17.9479067012519[/C][/ROW]
[ROW][C]0.06[/C][C]975.472775771892[/C][C]15.8157319578314[/C][/ROW]
[ROW][C]0.07[/C][C]983.29672823635[/C][C]15.6836509003892[/C][/ROW]
[ROW][C]0.08[/C][C]990.630030104435[/C][C]17.7346379722444[/C][/ROW]
[ROW][C]0.09[/C][C]998.29424200456[/C][C]21.2046468312799[/C][/ROW]
[ROW][C]0.1[/C][C]1006.74062095191[/C][C]25.0104198264152[/C][/ROW]
[ROW][C]0.11[/C][C]1016.01665719995[/C][C]28.1223305209572[/C][/ROW]
[ROW][C]0.12[/C][C]1025.84160408956[/C][C]29.7984856336025[/C][/ROW]
[ROW][C]0.13[/C][C]1035.7477530104[/C][C]29.7457994397514[/C][/ROW]
[ROW][C]0.14[/C][C]1045.24014782234[/C][C]28.1394999705607[/C][/ROW]
[ROW][C]0.15[/C][C]1053.92709903754[/C][C]25.4862784836488[/C][/ROW]
[ROW][C]0.16[/C][C]1061.5888071719[/C][C]22.3990675231951[/C][/ROW]
[ROW][C]0.17[/C][C]1068.17964057055[/C][C]19.3949094001261[/C][/ROW]
[ROW][C]0.18[/C][C]1073.78508254451[/C][C]16.7979296117085[/C][/ROW]
[ROW][C]0.19[/C][C]1078.5637752205[/C][C]14.741407843101[/C][/ROW]
[ROW][C]0.2[/C][C]1082.69812606236[/C][C]13.2366539425483[/C][/ROW]
[ROW][C]0.21[/C][C]1086.36281554999[/C][C]12.2380831682708[/C][/ROW]
[ROW][C]0.22[/C][C]1089.70897067736[/C][C]11.6761042764943[/C][/ROW]
[ROW][C]0.23[/C][C]1092.85717678072[/C][C]11.4587128486597[/C][/ROW]
[ROW][C]0.24[/C][C]1095.89382642143[/C][C]11.4656900892197[/C][/ROW]
[ROW][C]0.25[/C][C]1098.86897066348[/C][C]11.5528019118276[/C][/ROW]
[ROW][C]0.26[/C][C]1101.79671179693[/C][C]11.5786924474204[/C][/ROW]
[ROW][C]0.27[/C][C]1104.65991374146[/C][C]11.4248839581796[/C][/ROW]
[ROW][C]0.28[/C][C]1107.41988886945[/C][C]11.0311901643359[/C][/ROW]
[ROW][C]0.29[/C][C]1110.02982675166[/C][C]10.397412877703[/C][/ROW]
[ROW][C]0.3[/C][C]1112.44916395489[/C][C]9.58085253317039[/C][/ROW]
[ROW][C]0.31[/C][C]1114.65554632073[/C][C]8.69295436179629[/C][/ROW]
[ROW][C]0.32[/C][C]1116.65166273771[/C][C]7.86038727381589[/C][/ROW]
[ROW][C]0.33[/C][C]1118.46572525808[/C][C]7.20457088577803[/C][/ROW]
[ROW][C]0.34[/C][C]1120.14614944425[/C][C]6.81571431126704[/C][/ROW]
[ROW][C]0.35[/C][C]1121.75243022528[/C][C]6.7261763559831[/C][/ROW]
[ROW][C]0.36[/C][C]1123.34488388536[/C][C]6.90774198391524[/C][/ROW]
[ROW][C]0.37[/C][C]1124.9757341971[/C][C]7.28689472167923[/C][/ROW]
[ROW][C]0.38[/C][C]1126.68317692347[/C][C]7.78409549056723[/C][/ROW]
[ROW][C]0.39[/C][C]1128.48896406313[/C][C]8.32014266587654[/C][/ROW]
[ROW][C]0.4[/C][C]1130.39910851017[/C][C]8.82894479463233[/C][/ROW]
[ROW][C]0.41[/C][C]1132.40676964236[/C][C]9.27006360183892[/C][/ROW]
[ROW][C]0.42[/C][C]1134.49627705194[/C][C]9.61553619570362[/C][/ROW]
[ROW][C]0.43[/C][C]1136.64744787216[/C][C]9.85558436518016[/C][/ROW]
[ROW][C]0.44[/C][C]1138.83964864211[/C][C]9.99898384815039[/C][/ROW]
[ROW][C]0.45[/C][C]1141.05527966286[/C][C]10.0683971350954[/C][/ROW]
[ROW][C]0.46[/C][C]1143.28245523424[/C][C]10.0906427413566[/C][/ROW]
[ROW][C]0.47[/C][C]1145.51665736033[/C][C]10.1097235114301[/C][/ROW]
[ROW][C]0.48[/C][C]1147.76114736158[/C][C]10.1620620679675[/C][/ROW]
[ROW][C]0.49[/C][C]1150.02601009647[/C][C]10.2798006436403[/C][/ROW]
[ROW][C]0.5[/C][C]1152.32589932593[/C][C]10.4780074856001[/C][/ROW]
[ROW][C]0.51[/C][C]1154.67680199468[/C][C]10.7564897829392[/C][/ROW]
[ROW][C]0.52[/C][C]1157.09235711008[/C][C]11.0908952464124[/C][/ROW]
[ROW][C]0.53[/C][C]1159.5803725534[/C][C]11.4445216664177[/C][/ROW]
[ROW][C]0.54[/C][C]1162.14014671715[/C][C]11.7694674788924[/C][/ROW]
[ROW][C]0.55[/C][C]1164.76104340165[/C][C]12.0177906286173[/C][/ROW]
[ROW][C]0.56[/C][C]1167.42254884071[/C][C]12.1442228181213[/C][/ROW]
[ROW][C]0.57[/C][C]1170.09582611166[/C][C]12.1131304883821[/C][/ROW]
[ROW][C]0.58[/C][C]1172.74661708182[/C][C]11.9103653144921[/C][/ROW]
[ROW][C]0.59[/C][C]1175.33922920045[/C][C]11.537849840413[/C][/ROW]
[ROW][C]0.6[/C][C]1177.84125607239[/C][C]11.0177875068583[/C][/ROW]
[ROW][C]0.61[/C][C]1180.22858191632[/C][C]10.3972898744209[/C][/ROW]
[ROW][C]0.62[/C][C]1182.4900981174[/C][C]9.73925585280585[/C][/ROW]
[ROW][C]0.63[/C][C]1184.63144392678[/C][C]9.12721463259034[/C][/ROW]
[ROW][C]0.64[/C][C]1186.67703909958[/C][C]8.65214167593124[/C][/ROW]
[ROW][C]0.65[/C][C]1188.66977778217[/C][C]8.40174360733956[/C][/ROW]
[ROW][C]0.66[/C][C]1190.66803890777[/C][C]8.44628617946117[/C][/ROW]
[ROW][C]0.67[/C][C]1192.74010952771[/C][C]8.81732717625935[/C][/ROW]
[ROW][C]0.68[/C][C]1194.95661642956[/C][C]9.49902692787126[/C][/ROW]
[ROW][C]0.69[/C][C]1197.38198868754[/C][C]10.4324150479287[/C][/ROW]
[ROW][C]0.7[/C][C]1200.06622224236[/C][C]11.5246071907302[/C][/ROW]
[ROW][C]0.71[/C][C]1203.03824259426[/C][C]12.6679680751185[/C][/ROW]
[ROW][C]0.72[/C][C]1206.30198571366[/C][C]13.7468005050245[/C][/ROW]
[ROW][C]0.73[/C][C]1209.83600104586[/C][C]14.6566621110413[/C][/ROW]
[ROW][C]0.74[/C][C]1213.59698434313[/C][C]15.318565956695[/C][/ROW]
[ROW][C]0.75[/C][C]1217.52721047894[/C][C]15.6883588103644[/C][/ROW]
[ROW][C]0.76[/C][C]1221.56538319801[/C][C]15.7729677318317[/C][/ROW]
[ROW][C]0.77[/C][C]1225.65999715889[/C][C]15.6289241614791[/C][/ROW]
[ROW][C]0.78[/C][C]1229.78401678826[/C][C]15.370674572849[/C][/ROW]
[ROW][C]0.79[/C][C]1233.94963748768[/C][C]15.1583059755724[/C][/ROW]
[ROW][C]0.8[/C][C]1238.22209524002[/C][C]15.1988209936081[/C][/ROW]
[ROW][C]0.81[/C][C]1242.73152432452[/C][C]15.7264913840474[/C][/ROW]
[ROW][C]0.82[/C][C]1247.68081106206[/C][C]16.9875578740446[/C][/ROW]
[ROW][C]0.83[/C][C]1253.3443247755[/C][C]19.1964593858006[/C][/ROW]
[ROW][C]0.84[/C][C]1260.04781073885[/C][C]22.46663369472[/C][/ROW]
[ROW][C]0.85[/C][C]1268.11718827243[/C][C]26.6882209285276[/C][/ROW]
[ROW][C]0.86[/C][C]1277.79005754182[/C][C]31.409820157062[/C][/ROW]
[ROW][C]0.87[/C][C]1289.10367575517[/C][C]35.7990467861983[/C][/ROW]
[ROW][C]0.88[/C][C]1301.80361602682[/C][C]38.7999187830374[/C][/ROW]
[ROW][C]0.89[/C][C]1315.34189501612[/C][C]39.4971360997337[/C][/ROW]
[ROW][C]0.9[/C][C]1329.02937887206[/C][C]37.6084105003857[/C][/ROW]
[ROW][C]0.91[/C][C]1342.36087992314[/C][C]33.8933134729801[/C][/ROW]
[ROW][C]0.92[/C][C]1355.44313736762[/C][C]30.3283310567638[/C][/ROW]
[ROW][C]0.93[/C][C]1369.32895117207[/C][C]29.8509978500531[/C][/ROW]
[ROW][C]0.94[/C][C]1385.91566070598[/C][C]34.6076697187353[/C][/ROW]
[ROW][C]0.95[/C][C]1407.04949878005[/C][C]42.8464588633618[/C][/ROW]
[ROW][C]0.96[/C][C]1432.95810260002[/C][C]48.5944532004816[/C][/ROW]
[ROW][C]0.97[/C][C]1461.32126426825[/C][C]45.4383766056229[/C][/ROW]
[ROW][C]0.98[/C][C]1488.87986840851[/C][C]33.766433144751[/C][/ROW]
[ROW][C]0.99[/C][C]1513.65557630414[/C][C]26.1125466821438[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168793&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168793&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
0.01914.55091056920210.7820489444346
0.02925.83781393066120.0897298935084
0.03940.46407916063622.5255823844573
0.04954.48524885919820.8363626240308
0.05966.14724947948717.9479067012519
0.06975.47277577189215.8157319578314
0.07983.2967282363515.6836509003892
0.08990.63003010443517.7346379722444
0.09998.2942420045621.2046468312799
0.11006.7406209519125.0104198264152
0.111016.0166571999528.1223305209572
0.121025.8416040895629.7984856336025
0.131035.747753010429.7457994397514
0.141045.2401478223428.1394999705607
0.151053.9270990375425.4862784836488
0.161061.588807171922.3990675231951
0.171068.1796405705519.3949094001261
0.181073.7850825445116.7979296117085
0.191078.563775220514.741407843101
0.21082.6981260623613.2366539425483
0.211086.3628155499912.2380831682708
0.221089.7089706773611.6761042764943
0.231092.8571767807211.4587128486597
0.241095.8938264214311.4656900892197
0.251098.8689706634811.5528019118276
0.261101.7967117969311.5786924474204
0.271104.6599137414611.4248839581796
0.281107.4198888694511.0311901643359
0.291110.0298267516610.397412877703
0.31112.449163954899.58085253317039
0.311114.655546320738.69295436179629
0.321116.651662737717.86038727381589
0.331118.465725258087.20457088577803
0.341120.146149444256.81571431126704
0.351121.752430225286.7261763559831
0.361123.344883885366.90774198391524
0.371124.97573419717.28689472167923
0.381126.683176923477.78409549056723
0.391128.488964063138.32014266587654
0.41130.399108510178.82894479463233
0.411132.406769642369.27006360183892
0.421134.496277051949.61553619570362
0.431136.647447872169.85558436518016
0.441138.839648642119.99898384815039
0.451141.0552796628610.0683971350954
0.461143.2824552342410.0906427413566
0.471145.5166573603310.1097235114301
0.481147.7611473615810.1620620679675
0.491150.0260100964710.2798006436403
0.51152.3258993259310.4780074856001
0.511154.6768019946810.7564897829392
0.521157.0923571100811.0908952464124
0.531159.580372553411.4445216664177
0.541162.1401467171511.7694674788924
0.551164.7610434016512.0177906286173
0.561167.4225488407112.1442228181213
0.571170.0958261116612.1131304883821
0.581172.7466170818211.9103653144921
0.591175.3392292004511.537849840413
0.61177.8412560723911.0177875068583
0.611180.2285819163210.3972898744209
0.621182.49009811749.73925585280585
0.631184.631443926789.12721463259034
0.641186.677039099588.65214167593124
0.651188.669777782178.40174360733956
0.661190.668038907778.44628617946117
0.671192.740109527718.81732717625935
0.681194.956616429569.49902692787126
0.691197.3819886875410.4324150479287
0.71200.0662222423611.5246071907302
0.711203.0382425942612.6679680751185
0.721206.3019857136613.7468005050245
0.731209.8360010458614.6566621110413
0.741213.5969843431315.318565956695
0.751217.5272104789415.6883588103644
0.761221.5653831980115.7729677318317
0.771225.6599971588915.6289241614791
0.781229.7840167882615.370674572849
0.791233.9496374876815.1583059755724
0.81238.2220952400215.1988209936081
0.811242.7315243245215.7264913840474
0.821247.6808110620616.9875578740446
0.831253.344324775519.1964593858006
0.841260.0478107388522.46663369472
0.851268.1171882724326.6882209285276
0.861277.7900575418231.409820157062
0.871289.1036757551735.7990467861983
0.881301.8036160268238.7999187830374
0.891315.3418950161239.4971360997337
0.91329.0293788720637.6084105003857
0.911342.3608799231433.8933134729801
0.921355.4431373676230.3283310567638
0.931369.3289511720729.8509978500531
0.941385.9156607059834.6076697187353
0.951407.0494987800542.8464588633618
0.961432.9581026000248.5944532004816
0.971461.3212642682545.4383766056229
0.981488.8798684085133.766433144751
0.991513.6555763041426.1125466821438


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')