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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, 03 Oct 2014 10:05:05 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/03/t1412327197iui3i1p9sqthwg8.htm/, Retrieved Thu, 09 May 2024 20:31:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238365, Retrieved Thu, 09 May 2024 20:31:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact136

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] [] [2014-10-03 09:05:05] [ba3f7115fe3efa85f8b130de707d46eb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1143
1162
1169
1184
1169
1189
1192
1198
1168
1179
1173
1172
1125
1127
1123
1132
1114
1127
1129
1139
1117
1131
1132
1140
1105
1126
1129
1139
1123
1101
1110
1128
1101
1134
1139
1137
1141
1165
1146
1134
1141
1159
1166
1192
1171
1179
1181
1195
1167
1176
1181
1197
1194
1173
1179
1184
1193
1193
1193
1191
1222
1198
1218
1219
1260
1235
1256
1258
1295
1294
1318
1262

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=238365&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=238365&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238365&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
0.011101.489588090631.45654826843183
0.021102.723352120553.37241083233493
0.031104.682030492474.94915634559804
0.041107.133024993785.9353312500895
0.051109.798031990586.40518433228513
0.061112.455689911826.49501949746952
0.071114.963750784956.3047023386442
0.081117.242898320055.90445609935884
0.091119.256302984185.36214156697709
0.11120.996265034224.75245734587613
0.111122.476459927654.14769254098527
0.121123.725962106273.61145818597126
0.131124.783225268963.18094943951623
0.141125.690214767862.87386395790133
0.151126.487576740542.68656555560974
0.161127.21142420192.60478180344948
0.171127.891745350012.60830706180356
0.181128.552053660982.67916005153866
0.191129.209801373182.79596335550337
0.21129.877165771312.94121790022318
0.211130.56196257713.10448583054293
0.221131.268568279823.272932674521
0.231131.998822530193.4415270582234
0.241132.752934813.60353188677596
0.251133.530438774713.75687683243685
0.261134.331221311853.91058743005513
0.271135.156602881554.07198095196585
0.281136.010372852274.25874911649568
0.291136.8996114064.4942641873511
0.31137.835086631674.80869437594964
0.311138.831025737355.21913530102749
0.321139.904133399625.74107173285201
0.331141.071860008796.37176262005257
0.341142.350081964847.09476144322923
0.351143.750507588087.86828842542022
0.361145.278226158698.64872290248353
0.371146.929843427079.37923056523714
0.381148.6925814029110.0003761354842
0.391150.5445717914910.4629155676234
0.41152.4563699403610.7310067796467
0.411154.3935021020710.7826847196931
0.421156.3196789544910.6185065260013
0.431158.2002002584610.2598165618787
0.441160.005059600489.73963857640709
0.451161.711333077369.11032911579533
0.461163.304580172078.42102208195368
0.471164.779164243867.72414444893384
0.481166.137575567247.06875674072996
0.491167.388978991936.48702933639816
0.51168.547290764756.00360375493419
0.511169.629109380655.62570361683342
0.521170.651791068525.35293448895212
0.531171.631887628235.1720735512499
0.541172.584071730465.06770826333542
0.551173.520579853895.01800295465424
0.561174.451119160095.00926702070571
0.571175.38312075625.02771195162851
0.581176.322183340375.06590965163073
0.591177.272540970825.11668420029505
0.61178.237407266775.17900550017052
0.611179.219093643075.25260352045658
0.621180.218865349075.33291550681
0.631181.236575833585.4095699479399
0.641182.270193078385.47570468312557
0.651183.315385116125.51353035702066
0.661184.365352021635.50908076041294
0.671185.411070430575.44776520221972
0.681186.442055695535.32265836878436
0.691187.447658063815.13054761489945
0.71188.418812675774.88236724116138
0.711189.350081182854.59811465703684
0.721190.241773076184.30956727888793
0.731191.101923784254.05590314382373
0.741191.947926456243.89235382622951
0.751192.80764649043.87322034437425
0.761193.719872817254.05648605019601
0.771194.73397065434.4889796986891
0.781195.908611537855.19718640242349
0.791197.309499958156.18819236030042
0.81199.006117892247.44673429634767
0.811201.067652942328.93571505867157
0.821203.5583813318710.6047952068981
0.831206.5327248994212.38195360406
0.841210.0299406835414.1895542099934
0.851214.0681062096815.9359178600373
0.861218.6372237845717.519000489779
0.871223.6925356962818.8088049837286
0.881229.1517830433819.6574831332301
0.891234.9031646084719.9230372014081
0.91240.8312683675619.5450904187475
0.911246.8621120341618.641348802694
0.921253.0135176238917.5868201315836
0.931259.4194453607916.9556198243167
0.941266.2959433349417.1464734435065
0.951273.8553932944217.8208733824557
0.961282.2402329615817.9725668113371
0.971291.5250995088417.0825333351263
0.981301.579815275116.656933132196
0.991311.3469834772419.1017911604035

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1101.48958809063 & 1.45654826843183 \tabularnewline
0.02 & 1102.72335212055 & 3.37241083233493 \tabularnewline
0.03 & 1104.68203049247 & 4.94915634559804 \tabularnewline
0.04 & 1107.13302499378 & 5.9353312500895 \tabularnewline
0.05 & 1109.79803199058 & 6.40518433228513 \tabularnewline
0.06 & 1112.45568991182 & 6.49501949746952 \tabularnewline
0.07 & 1114.96375078495 & 6.3047023386442 \tabularnewline
0.08 & 1117.24289832005 & 5.90445609935884 \tabularnewline
0.09 & 1119.25630298418 & 5.36214156697709 \tabularnewline
0.1 & 1120.99626503422 & 4.75245734587613 \tabularnewline
0.11 & 1122.47645992765 & 4.14769254098527 \tabularnewline
0.12 & 1123.72596210627 & 3.61145818597126 \tabularnewline
0.13 & 1124.78322526896 & 3.18094943951623 \tabularnewline
0.14 & 1125.69021476786 & 2.87386395790133 \tabularnewline
0.15 & 1126.48757674054 & 2.68656555560974 \tabularnewline
0.16 & 1127.2114242019 & 2.60478180344948 \tabularnewline
0.17 & 1127.89174535001 & 2.60830706180356 \tabularnewline
0.18 & 1128.55205366098 & 2.67916005153866 \tabularnewline
0.19 & 1129.20980137318 & 2.79596335550337 \tabularnewline
0.2 & 1129.87716577131 & 2.94121790022318 \tabularnewline
0.21 & 1130.5619625771 & 3.10448583054293 \tabularnewline
0.22 & 1131.26856827982 & 3.272932674521 \tabularnewline
0.23 & 1131.99882253019 & 3.4415270582234 \tabularnewline
0.24 & 1132.75293481 & 3.60353188677596 \tabularnewline
0.25 & 1133.53043877471 & 3.75687683243685 \tabularnewline
0.26 & 1134.33122131185 & 3.91058743005513 \tabularnewline
0.27 & 1135.15660288155 & 4.07198095196585 \tabularnewline
0.28 & 1136.01037285227 & 4.25874911649568 \tabularnewline
0.29 & 1136.899611406 & 4.4942641873511 \tabularnewline
0.3 & 1137.83508663167 & 4.80869437594964 \tabularnewline
0.31 & 1138.83102573735 & 5.21913530102749 \tabularnewline
0.32 & 1139.90413339962 & 5.74107173285201 \tabularnewline
0.33 & 1141.07186000879 & 6.37176262005257 \tabularnewline
0.34 & 1142.35008196484 & 7.09476144322923 \tabularnewline
0.35 & 1143.75050758808 & 7.86828842542022 \tabularnewline
0.36 & 1145.27822615869 & 8.64872290248353 \tabularnewline
0.37 & 1146.92984342707 & 9.37923056523714 \tabularnewline
0.38 & 1148.69258140291 & 10.0003761354842 \tabularnewline
0.39 & 1150.54457179149 & 10.4629155676234 \tabularnewline
0.4 & 1152.45636994036 & 10.7310067796467 \tabularnewline
0.41 & 1154.39350210207 & 10.7826847196931 \tabularnewline
0.42 & 1156.31967895449 & 10.6185065260013 \tabularnewline
0.43 & 1158.20020025846 & 10.2598165618787 \tabularnewline
0.44 & 1160.00505960048 & 9.73963857640709 \tabularnewline
0.45 & 1161.71133307736 & 9.11032911579533 \tabularnewline
0.46 & 1163.30458017207 & 8.42102208195368 \tabularnewline
0.47 & 1164.77916424386 & 7.72414444893384 \tabularnewline
0.48 & 1166.13757556724 & 7.06875674072996 \tabularnewline
0.49 & 1167.38897899193 & 6.48702933639816 \tabularnewline
0.5 & 1168.54729076475 & 6.00360375493419 \tabularnewline
0.51 & 1169.62910938065 & 5.62570361683342 \tabularnewline
0.52 & 1170.65179106852 & 5.35293448895212 \tabularnewline
0.53 & 1171.63188762823 & 5.1720735512499 \tabularnewline
0.54 & 1172.58407173046 & 5.06770826333542 \tabularnewline
0.55 & 1173.52057985389 & 5.01800295465424 \tabularnewline
0.56 & 1174.45111916009 & 5.00926702070571 \tabularnewline
0.57 & 1175.3831207562 & 5.02771195162851 \tabularnewline
0.58 & 1176.32218334037 & 5.06590965163073 \tabularnewline
0.59 & 1177.27254097082 & 5.11668420029505 \tabularnewline
0.6 & 1178.23740726677 & 5.17900550017052 \tabularnewline
0.61 & 1179.21909364307 & 5.25260352045658 \tabularnewline
0.62 & 1180.21886534907 & 5.33291550681 \tabularnewline
0.63 & 1181.23657583358 & 5.4095699479399 \tabularnewline
0.64 & 1182.27019307838 & 5.47570468312557 \tabularnewline
0.65 & 1183.31538511612 & 5.51353035702066 \tabularnewline
0.66 & 1184.36535202163 & 5.50908076041294 \tabularnewline
0.67 & 1185.41107043057 & 5.44776520221972 \tabularnewline
0.68 & 1186.44205569553 & 5.32265836878436 \tabularnewline
0.69 & 1187.44765806381 & 5.13054761489945 \tabularnewline
0.7 & 1188.41881267577 & 4.88236724116138 \tabularnewline
0.71 & 1189.35008118285 & 4.59811465703684 \tabularnewline
0.72 & 1190.24177307618 & 4.30956727888793 \tabularnewline
0.73 & 1191.10192378425 & 4.05590314382373 \tabularnewline
0.74 & 1191.94792645624 & 3.89235382622951 \tabularnewline
0.75 & 1192.8076464904 & 3.87322034437425 \tabularnewline
0.76 & 1193.71987281725 & 4.05648605019601 \tabularnewline
0.77 & 1194.7339706543 & 4.4889796986891 \tabularnewline
0.78 & 1195.90861153785 & 5.19718640242349 \tabularnewline
0.79 & 1197.30949995815 & 6.18819236030042 \tabularnewline
0.8 & 1199.00611789224 & 7.44673429634767 \tabularnewline
0.81 & 1201.06765294232 & 8.93571505867157 \tabularnewline
0.82 & 1203.55838133187 & 10.6047952068981 \tabularnewline
0.83 & 1206.53272489942 & 12.38195360406 \tabularnewline
0.84 & 1210.02994068354 & 14.1895542099934 \tabularnewline
0.85 & 1214.06810620968 & 15.9359178600373 \tabularnewline
0.86 & 1218.63722378457 & 17.519000489779 \tabularnewline
0.87 & 1223.69253569628 & 18.8088049837286 \tabularnewline
0.88 & 1229.15178304338 & 19.6574831332301 \tabularnewline
0.89 & 1234.90316460847 & 19.9230372014081 \tabularnewline
0.9 & 1240.83126836756 & 19.5450904187475 \tabularnewline
0.91 & 1246.86211203416 & 18.641348802694 \tabularnewline
0.92 & 1253.01351762389 & 17.5868201315836 \tabularnewline
0.93 & 1259.41944536079 & 16.9556198243167 \tabularnewline
0.94 & 1266.29594333494 & 17.1464734435065 \tabularnewline
0.95 & 1273.85539329442 & 17.8208733824557 \tabularnewline
0.96 & 1282.24023296158 & 17.9725668113371 \tabularnewline
0.97 & 1291.52509950884 & 17.0825333351263 \tabularnewline
0.98 & 1301.5798152751 & 16.656933132196 \tabularnewline
0.99 & 1311.34698347724 & 19.1017911604035 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238365&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]1101.48958809063[/C][C]1.45654826843183[/C][/ROW]
[ROW][C]0.02[/C][C]1102.72335212055[/C][C]3.37241083233493[/C][/ROW]
[ROW][C]0.03[/C][C]1104.68203049247[/C][C]4.94915634559804[/C][/ROW]
[ROW][C]0.04[/C][C]1107.13302499378[/C][C]5.9353312500895[/C][/ROW]
[ROW][C]0.05[/C][C]1109.79803199058[/C][C]6.40518433228513[/C][/ROW]
[ROW][C]0.06[/C][C]1112.45568991182[/C][C]6.49501949746952[/C][/ROW]
[ROW][C]0.07[/C][C]1114.96375078495[/C][C]6.3047023386442[/C][/ROW]
[ROW][C]0.08[/C][C]1117.24289832005[/C][C]5.90445609935884[/C][/ROW]
[ROW][C]0.09[/C][C]1119.25630298418[/C][C]5.36214156697709[/C][/ROW]
[ROW][C]0.1[/C][C]1120.99626503422[/C][C]4.75245734587613[/C][/ROW]
[ROW][C]0.11[/C][C]1122.47645992765[/C][C]4.14769254098527[/C][/ROW]
[ROW][C]0.12[/C][C]1123.72596210627[/C][C]3.61145818597126[/C][/ROW]
[ROW][C]0.13[/C][C]1124.78322526896[/C][C]3.18094943951623[/C][/ROW]
[ROW][C]0.14[/C][C]1125.69021476786[/C][C]2.87386395790133[/C][/ROW]
[ROW][C]0.15[/C][C]1126.48757674054[/C][C]2.68656555560974[/C][/ROW]
[ROW][C]0.16[/C][C]1127.2114242019[/C][C]2.60478180344948[/C][/ROW]
[ROW][C]0.17[/C][C]1127.89174535001[/C][C]2.60830706180356[/C][/ROW]
[ROW][C]0.18[/C][C]1128.55205366098[/C][C]2.67916005153866[/C][/ROW]
[ROW][C]0.19[/C][C]1129.20980137318[/C][C]2.79596335550337[/C][/ROW]
[ROW][C]0.2[/C][C]1129.87716577131[/C][C]2.94121790022318[/C][/ROW]
[ROW][C]0.21[/C][C]1130.5619625771[/C][C]3.10448583054293[/C][/ROW]
[ROW][C]0.22[/C][C]1131.26856827982[/C][C]3.272932674521[/C][/ROW]
[ROW][C]0.23[/C][C]1131.99882253019[/C][C]3.4415270582234[/C][/ROW]
[ROW][C]0.24[/C][C]1132.75293481[/C][C]3.60353188677596[/C][/ROW]
[ROW][C]0.25[/C][C]1133.53043877471[/C][C]3.75687683243685[/C][/ROW]
[ROW][C]0.26[/C][C]1134.33122131185[/C][C]3.91058743005513[/C][/ROW]
[ROW][C]0.27[/C][C]1135.15660288155[/C][C]4.07198095196585[/C][/ROW]
[ROW][C]0.28[/C][C]1136.01037285227[/C][C]4.25874911649568[/C][/ROW]
[ROW][C]0.29[/C][C]1136.899611406[/C][C]4.4942641873511[/C][/ROW]
[ROW][C]0.3[/C][C]1137.83508663167[/C][C]4.80869437594964[/C][/ROW]
[ROW][C]0.31[/C][C]1138.83102573735[/C][C]5.21913530102749[/C][/ROW]
[ROW][C]0.32[/C][C]1139.90413339962[/C][C]5.74107173285201[/C][/ROW]
[ROW][C]0.33[/C][C]1141.07186000879[/C][C]6.37176262005257[/C][/ROW]
[ROW][C]0.34[/C][C]1142.35008196484[/C][C]7.09476144322923[/C][/ROW]
[ROW][C]0.35[/C][C]1143.75050758808[/C][C]7.86828842542022[/C][/ROW]
[ROW][C]0.36[/C][C]1145.27822615869[/C][C]8.64872290248353[/C][/ROW]
[ROW][C]0.37[/C][C]1146.92984342707[/C][C]9.37923056523714[/C][/ROW]
[ROW][C]0.38[/C][C]1148.69258140291[/C][C]10.0003761354842[/C][/ROW]
[ROW][C]0.39[/C][C]1150.54457179149[/C][C]10.4629155676234[/C][/ROW]
[ROW][C]0.4[/C][C]1152.45636994036[/C][C]10.7310067796467[/C][/ROW]
[ROW][C]0.41[/C][C]1154.39350210207[/C][C]10.7826847196931[/C][/ROW]
[ROW][C]0.42[/C][C]1156.31967895449[/C][C]10.6185065260013[/C][/ROW]
[ROW][C]0.43[/C][C]1158.20020025846[/C][C]10.2598165618787[/C][/ROW]
[ROW][C]0.44[/C][C]1160.00505960048[/C][C]9.73963857640709[/C][/ROW]
[ROW][C]0.45[/C][C]1161.71133307736[/C][C]9.11032911579533[/C][/ROW]
[ROW][C]0.46[/C][C]1163.30458017207[/C][C]8.42102208195368[/C][/ROW]
[ROW][C]0.47[/C][C]1164.77916424386[/C][C]7.72414444893384[/C][/ROW]
[ROW][C]0.48[/C][C]1166.13757556724[/C][C]7.06875674072996[/C][/ROW]
[ROW][C]0.49[/C][C]1167.38897899193[/C][C]6.48702933639816[/C][/ROW]
[ROW][C]0.5[/C][C]1168.54729076475[/C][C]6.00360375493419[/C][/ROW]
[ROW][C]0.51[/C][C]1169.62910938065[/C][C]5.62570361683342[/C][/ROW]
[ROW][C]0.52[/C][C]1170.65179106852[/C][C]5.35293448895212[/C][/ROW]
[ROW][C]0.53[/C][C]1171.63188762823[/C][C]5.1720735512499[/C][/ROW]
[ROW][C]0.54[/C][C]1172.58407173046[/C][C]5.06770826333542[/C][/ROW]
[ROW][C]0.55[/C][C]1173.52057985389[/C][C]5.01800295465424[/C][/ROW]
[ROW][C]0.56[/C][C]1174.45111916009[/C][C]5.00926702070571[/C][/ROW]
[ROW][C]0.57[/C][C]1175.3831207562[/C][C]5.02771195162851[/C][/ROW]
[ROW][C]0.58[/C][C]1176.32218334037[/C][C]5.06590965163073[/C][/ROW]
[ROW][C]0.59[/C][C]1177.27254097082[/C][C]5.11668420029505[/C][/ROW]
[ROW][C]0.6[/C][C]1178.23740726677[/C][C]5.17900550017052[/C][/ROW]
[ROW][C]0.61[/C][C]1179.21909364307[/C][C]5.25260352045658[/C][/ROW]
[ROW][C]0.62[/C][C]1180.21886534907[/C][C]5.33291550681[/C][/ROW]
[ROW][C]0.63[/C][C]1181.23657583358[/C][C]5.4095699479399[/C][/ROW]
[ROW][C]0.64[/C][C]1182.27019307838[/C][C]5.47570468312557[/C][/ROW]
[ROW][C]0.65[/C][C]1183.31538511612[/C][C]5.51353035702066[/C][/ROW]
[ROW][C]0.66[/C][C]1184.36535202163[/C][C]5.50908076041294[/C][/ROW]
[ROW][C]0.67[/C][C]1185.41107043057[/C][C]5.44776520221972[/C][/ROW]
[ROW][C]0.68[/C][C]1186.44205569553[/C][C]5.32265836878436[/C][/ROW]
[ROW][C]0.69[/C][C]1187.44765806381[/C][C]5.13054761489945[/C][/ROW]
[ROW][C]0.7[/C][C]1188.41881267577[/C][C]4.88236724116138[/C][/ROW]
[ROW][C]0.71[/C][C]1189.35008118285[/C][C]4.59811465703684[/C][/ROW]
[ROW][C]0.72[/C][C]1190.24177307618[/C][C]4.30956727888793[/C][/ROW]
[ROW][C]0.73[/C][C]1191.10192378425[/C][C]4.05590314382373[/C][/ROW]
[ROW][C]0.74[/C][C]1191.94792645624[/C][C]3.89235382622951[/C][/ROW]
[ROW][C]0.75[/C][C]1192.8076464904[/C][C]3.87322034437425[/C][/ROW]
[ROW][C]0.76[/C][C]1193.71987281725[/C][C]4.05648605019601[/C][/ROW]
[ROW][C]0.77[/C][C]1194.7339706543[/C][C]4.4889796986891[/C][/ROW]
[ROW][C]0.78[/C][C]1195.90861153785[/C][C]5.19718640242349[/C][/ROW]
[ROW][C]0.79[/C][C]1197.30949995815[/C][C]6.18819236030042[/C][/ROW]
[ROW][C]0.8[/C][C]1199.00611789224[/C][C]7.44673429634767[/C][/ROW]
[ROW][C]0.81[/C][C]1201.06765294232[/C][C]8.93571505867157[/C][/ROW]
[ROW][C]0.82[/C][C]1203.55838133187[/C][C]10.6047952068981[/C][/ROW]
[ROW][C]0.83[/C][C]1206.53272489942[/C][C]12.38195360406[/C][/ROW]
[ROW][C]0.84[/C][C]1210.02994068354[/C][C]14.1895542099934[/C][/ROW]
[ROW][C]0.85[/C][C]1214.06810620968[/C][C]15.9359178600373[/C][/ROW]
[ROW][C]0.86[/C][C]1218.63722378457[/C][C]17.519000489779[/C][/ROW]
[ROW][C]0.87[/C][C]1223.69253569628[/C][C]18.8088049837286[/C][/ROW]
[ROW][C]0.88[/C][C]1229.15178304338[/C][C]19.6574831332301[/C][/ROW]
[ROW][C]0.89[/C][C]1234.90316460847[/C][C]19.9230372014081[/C][/ROW]
[ROW][C]0.9[/C][C]1240.83126836756[/C][C]19.5450904187475[/C][/ROW]
[ROW][C]0.91[/C][C]1246.86211203416[/C][C]18.641348802694[/C][/ROW]
[ROW][C]0.92[/C][C]1253.01351762389[/C][C]17.5868201315836[/C][/ROW]
[ROW][C]0.93[/C][C]1259.41944536079[/C][C]16.9556198243167[/C][/ROW]
[ROW][C]0.94[/C][C]1266.29594333494[/C][C]17.1464734435065[/C][/ROW]
[ROW][C]0.95[/C][C]1273.85539329442[/C][C]17.8208733824557[/C][/ROW]
[ROW][C]0.96[/C][C]1282.24023296158[/C][C]17.9725668113371[/C][/ROW]
[ROW][C]0.97[/C][C]1291.52509950884[/C][C]17.0825333351263[/C][/ROW]
[ROW][C]0.98[/C][C]1301.5798152751[/C][C]16.656933132196[/C][/ROW]
[ROW][C]0.99[/C][C]1311.34698347724[/C][C]19.1017911604035[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238365&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238365&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
0.011101.489588090631.45654826843183
0.021102.723352120553.37241083233493
0.031104.682030492474.94915634559804
0.041107.133024993785.9353312500895
0.051109.798031990586.40518433228513
0.061112.455689911826.49501949746952
0.071114.963750784956.3047023386442
0.081117.242898320055.90445609935884
0.091119.256302984185.36214156697709
0.11120.996265034224.75245734587613
0.111122.476459927654.14769254098527
0.121123.725962106273.61145818597126
0.131124.783225268963.18094943951623
0.141125.690214767862.87386395790133
0.151126.487576740542.68656555560974
0.161127.21142420192.60478180344948
0.171127.891745350012.60830706180356
0.181128.552053660982.67916005153866
0.191129.209801373182.79596335550337
0.21129.877165771312.94121790022318
0.211130.56196257713.10448583054293
0.221131.268568279823.272932674521
0.231131.998822530193.4415270582234
0.241132.752934813.60353188677596
0.251133.530438774713.75687683243685
0.261134.331221311853.91058743005513
0.271135.156602881554.07198095196585
0.281136.010372852274.25874911649568
0.291136.8996114064.4942641873511
0.31137.835086631674.80869437594964
0.311138.831025737355.21913530102749
0.321139.904133399625.74107173285201
0.331141.071860008796.37176262005257
0.341142.350081964847.09476144322923
0.351143.750507588087.86828842542022
0.361145.278226158698.64872290248353
0.371146.929843427079.37923056523714
0.381148.6925814029110.0003761354842
0.391150.5445717914910.4629155676234
0.41152.4563699403610.7310067796467
0.411154.3935021020710.7826847196931
0.421156.3196789544910.6185065260013
0.431158.2002002584610.2598165618787
0.441160.005059600489.73963857640709
0.451161.711333077369.11032911579533
0.461163.304580172078.42102208195368
0.471164.779164243867.72414444893384
0.481166.137575567247.06875674072996
0.491167.388978991936.48702933639816
0.51168.547290764756.00360375493419
0.511169.629109380655.62570361683342
0.521170.651791068525.35293448895212
0.531171.631887628235.1720735512499
0.541172.584071730465.06770826333542
0.551173.520579853895.01800295465424
0.561174.451119160095.00926702070571
0.571175.38312075625.02771195162851
0.581176.322183340375.06590965163073
0.591177.272540970825.11668420029505
0.61178.237407266775.17900550017052
0.611179.219093643075.25260352045658
0.621180.218865349075.33291550681
0.631181.236575833585.4095699479399
0.641182.270193078385.47570468312557
0.651183.315385116125.51353035702066
0.661184.365352021635.50908076041294
0.671185.411070430575.44776520221972
0.681186.442055695535.32265836878436
0.691187.447658063815.13054761489945
0.71188.418812675774.88236724116138
0.711189.350081182854.59811465703684
0.721190.241773076184.30956727888793
0.731191.101923784254.05590314382373
0.741191.947926456243.89235382622951
0.751192.80764649043.87322034437425
0.761193.719872817254.05648605019601
0.771194.73397065434.4889796986891
0.781195.908611537855.19718640242349
0.791197.309499958156.18819236030042
0.81199.006117892247.44673429634767
0.811201.067652942328.93571505867157
0.821203.5583813318710.6047952068981
0.831206.5327248994212.38195360406
0.841210.0299406835414.1895542099934
0.851214.0681062096815.9359178600373
0.861218.6372237845717.519000489779
0.871223.6925356962818.8088049837286
0.881229.1517830433819.6574831332301
0.891234.9031646084719.9230372014081
0.91240.8312683675619.5450904187475
0.911246.8621120341618.641348802694
0.921253.0135176238917.5868201315836
0.931259.4194453607916.9556198243167
0.941266.2959433349417.1464734435065
0.951273.8553932944217.8208733824557
0.961282.2402329615817.9725668113371
0.971291.5250995088417.0825333351263
0.981301.579815275116.656933132196
0.991311.3469834772419.1017911604035


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 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')