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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 computationTue, 20 Aug 2013 05:40:38 -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/2013/Aug/20/t13769916553evtv78rfnf1fq7.htm/, Retrieved Sat, 27 Apr 2024 11:59:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=211246, Retrieved Sat, 27 Apr 2024 11:59:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87

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] [] [2013-08-20 09:40:38] [bdb7c0ed7ba273e65f9ee772c5dda4f0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1165010
1160665
1156265
1147162.5
1237238.75
1232481.25
1165010
1120157.5
1124488.75
1124488.75
1129328.75
1138005
1151507.5
1151507.5
1142831.25
1120157.5
1237238.75
1255086.25
1228136.25
1165010
1192015
1151507.5
1169781.25
1178512.5
1187615
1165010
1169781.25
1138005
1237238.75
1268588.75
1241638.75
1192015
1245983.75
1187615
1241638.75
1237238.75
1250755
1201131.25
1255086.25
1250755
1331715
1313441.25
1241638.75
1205462.5
1255086.25
1187615
1237238.75
1245983.75
1264257.5
1223805
1245983.75
1259486.25
1309110
1268588.75
1214633.75
1156265
1210288.75
1061788.75
1133660
1174112.5
1214633.75
1156265
1156265
1156265
1187615
1142831.25
1084036.25
1034838.75
1070533.75
931205
1016578.75
1066188.75
1075305
1025681.25
1030012.5
1016578.75
1061788.75
1030012.5
967381.25
922102.5
998662.5
832383.75
940362.5
989560
989560
931205
877236.25
872905
922102.5
877236.25
791931.25
733136.25
796276.25
647831.25
782760
854562.5
877236.25
827626.25
764926.25
809778.75
827626.25
814110
679126.25
616481.25
661278.75
526350
665678.75
715302.5
755755
688283.75
625157.5
661278.75
679126.25
643431.25
508502.5
449707.5
503676.25
355231.25
517178.75
616481.25

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 3 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211246&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211246&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211246&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 time3 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01409115.77040740969281.7982928793
0.02468312.89338901145641.9766348459
0.03507736.3458213839724.1066125226
0.04537356.85925961746385.4111250842
0.05564924.60059245850840.041204385
0.06590855.08825177847893.7155116726
0.07613285.00612226340566.0163890068
0.08631441.20052422533557.5568923734
0.09646074.28511257329549.2453227075
0.1658633.83554455629049.4663732902
0.11670527.07521151531455.4380147885
0.12682783.0957668635705.1452644171
0.13695967.95662937840562.8986031895
0.14710205.93007927844863.081260649
0.15725266.74386184947762.9108809997
0.16740708.12989893248918.726433001
0.17756041.57564311248496.0623157364
0.18770873.9164680547035.1203443092
0.19784988.65125598445221.1096552447
0.2798358.0585011843668.9200651059
0.21811102.22916338142770.0332425234
0.22823423.12303636542666.2350431463
0.23835540.01443191643280.234341983
0.24847642.77499878944419.9896806345
0.25859867.92387649645863.4740407768
0.26872293.73165359747412.680471258
0.27884946.59917946748915.1477997943
0.28897811.05118330750244.2425605396
0.29910838.45900051451295.1996448397
0.3923953.19134990251971.2823249257
0.31937057.72053466452179.5430532183
0.32950039.35917845751863.907859431
0.33962780.61778516351011.4351687386
0.34975173.19781223949685.1425222998
0.35987133.3515713748017.7991783379
0.36998614.79442110546202.1277260941
0.371009615.2463291944451.3403273772
0.381020174.0875837142945.4020270164
0.391030360.9938964441799.1676618183
0.41040257.8868595441022.2037211243
0.411049938.2805321340527.3340717011
0.421059448.6767033640148.0363447586
0.431068796.049043339673.9542682589
0.441077943.9540203638910.0092518669
0.451086817.8314097937698.0657816295
0.461095318.0393240435957.5181150126
0.471103337.5220712133706.2819914074
0.481110780.1088990431030.374380177
0.491117575.5392678628083.0649412791
0.51123688.4079373825040.6253689916
0.511129120.0030988922078.5903075049
0.521133903.9062521519327.8973926103
0.531138097.6276465916876.0657811497
0.541141773.0687549714767.3369710045
0.551145008.1977379913001.5901993591
0.561147881.3008426511572.7163537607
0.571150468.0083339710456.3806243813
0.581152840.412521939638.01066325704
0.591155067.210317329105.82233925864
0.61157213.880877518848.24383683437
0.611159342.259064838845.59148107032
0.621161509.27801989075.84985520761
0.631163765.008949579499.33683304197
0.641166150.4092425610067.573042284
0.651168695.4213577410726.0478409734
0.661171418.2030982711416.4390036752
0.671174326.1819902512089.7044965116
0.681177419.1733189512720.6419588497
0.691180693.9943487413302.8483034924
0.71184149.1141128813858.5974901231
0.711187787.3576927314415.9091862932
0.721191614.9413747414996.7014089858
0.731195636.2217829515583.1938684408
0.741199845.1291985316123.9241485523
0.751204215.6898761116522.6271359994
0.761208694.7754195816669.6331759276
0.771213200.040694716462.1951388212
0.781217625.0307652815831.2608699027
0.791221851.8434825214763.8522338848
0.81225769.6783512813318.8037090277
0.811229295.3754223511629.8606497233
0.821232390.385582599878.03694506964
0.831235068.62546838260.09080032218
0.841237392.111323856938.58344726144
0.851239455.573002046003.37099247868
0.861241365.343879735452.2351821967
0.871243219.365172945206.23363787111
0.881245093.605435385151.96518929778
0.891247037.764037865184.73680708839
0.91249082.623122395229.42050802418
0.911251262.441375395279.49004987247
0.921253655.329225795436.88938698436
0.931256447.525135285919.29632654807
0.941260048.989336657079.65483247087
0.951265288.239036829622.30283818623
0.961273501.7249239614395.3128620729
0.971285908.9521521119982.5293221915
0.981302186.5464960321124.2577034095
0.991319691.8392695517201.7701044431

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 409115.770407409 & 69281.7982928793 \tabularnewline
0.02 & 468312.893389011 & 45641.9766348459 \tabularnewline
0.03 & 507736.34582138 & 39724.1066125226 \tabularnewline
0.04 & 537356.859259617 & 46385.4111250842 \tabularnewline
0.05 & 564924.600592458 & 50840.041204385 \tabularnewline
0.06 & 590855.088251778 & 47893.7155116726 \tabularnewline
0.07 & 613285.006122263 & 40566.0163890068 \tabularnewline
0.08 & 631441.200524225 & 33557.5568923734 \tabularnewline
0.09 & 646074.285112573 & 29549.2453227075 \tabularnewline
0.1 & 658633.835544556 & 29049.4663732902 \tabularnewline
0.11 & 670527.075211515 & 31455.4380147885 \tabularnewline
0.12 & 682783.09576686 & 35705.1452644171 \tabularnewline
0.13 & 695967.956629378 & 40562.8986031895 \tabularnewline
0.14 & 710205.930079278 & 44863.081260649 \tabularnewline
0.15 & 725266.743861849 & 47762.9108809997 \tabularnewline
0.16 & 740708.129898932 & 48918.726433001 \tabularnewline
0.17 & 756041.575643112 & 48496.0623157364 \tabularnewline
0.18 & 770873.91646805 & 47035.1203443092 \tabularnewline
0.19 & 784988.651255984 & 45221.1096552447 \tabularnewline
0.2 & 798358.05850118 & 43668.9200651059 \tabularnewline
0.21 & 811102.229163381 & 42770.0332425234 \tabularnewline
0.22 & 823423.123036365 & 42666.2350431463 \tabularnewline
0.23 & 835540.014431916 & 43280.234341983 \tabularnewline
0.24 & 847642.774998789 & 44419.9896806345 \tabularnewline
0.25 & 859867.923876496 & 45863.4740407768 \tabularnewline
0.26 & 872293.731653597 & 47412.680471258 \tabularnewline
0.27 & 884946.599179467 & 48915.1477997943 \tabularnewline
0.28 & 897811.051183307 & 50244.2425605396 \tabularnewline
0.29 & 910838.459000514 & 51295.1996448397 \tabularnewline
0.3 & 923953.191349902 & 51971.2823249257 \tabularnewline
0.31 & 937057.720534664 & 52179.5430532183 \tabularnewline
0.32 & 950039.359178457 & 51863.907859431 \tabularnewline
0.33 & 962780.617785163 & 51011.4351687386 \tabularnewline
0.34 & 975173.197812239 & 49685.1425222998 \tabularnewline
0.35 & 987133.35157137 & 48017.7991783379 \tabularnewline
0.36 & 998614.794421105 & 46202.1277260941 \tabularnewline
0.37 & 1009615.24632919 & 44451.3403273772 \tabularnewline
0.38 & 1020174.08758371 & 42945.4020270164 \tabularnewline
0.39 & 1030360.99389644 & 41799.1676618183 \tabularnewline
0.4 & 1040257.88685954 & 41022.2037211243 \tabularnewline
0.41 & 1049938.28053213 & 40527.3340717011 \tabularnewline
0.42 & 1059448.67670336 & 40148.0363447586 \tabularnewline
0.43 & 1068796.0490433 & 39673.9542682589 \tabularnewline
0.44 & 1077943.95402036 & 38910.0092518669 \tabularnewline
0.45 & 1086817.83140979 & 37698.0657816295 \tabularnewline
0.46 & 1095318.03932404 & 35957.5181150126 \tabularnewline
0.47 & 1103337.52207121 & 33706.2819914074 \tabularnewline
0.48 & 1110780.10889904 & 31030.374380177 \tabularnewline
0.49 & 1117575.53926786 & 28083.0649412791 \tabularnewline
0.5 & 1123688.40793738 & 25040.6253689916 \tabularnewline
0.51 & 1129120.00309889 & 22078.5903075049 \tabularnewline
0.52 & 1133903.90625215 & 19327.8973926103 \tabularnewline
0.53 & 1138097.62764659 & 16876.0657811497 \tabularnewline
0.54 & 1141773.06875497 & 14767.3369710045 \tabularnewline
0.55 & 1145008.19773799 & 13001.5901993591 \tabularnewline
0.56 & 1147881.30084265 & 11572.7163537607 \tabularnewline
0.57 & 1150468.00833397 & 10456.3806243813 \tabularnewline
0.58 & 1152840.41252193 & 9638.01066325704 \tabularnewline
0.59 & 1155067.21031732 & 9105.82233925864 \tabularnewline
0.6 & 1157213.88087751 & 8848.24383683437 \tabularnewline
0.61 & 1159342.25906483 & 8845.59148107032 \tabularnewline
0.62 & 1161509.2780198 & 9075.84985520761 \tabularnewline
0.63 & 1163765.00894957 & 9499.33683304197 \tabularnewline
0.64 & 1166150.40924256 & 10067.573042284 \tabularnewline
0.65 & 1168695.42135774 & 10726.0478409734 \tabularnewline
0.66 & 1171418.20309827 & 11416.4390036752 \tabularnewline
0.67 & 1174326.18199025 & 12089.7044965116 \tabularnewline
0.68 & 1177419.17331895 & 12720.6419588497 \tabularnewline
0.69 & 1180693.99434874 & 13302.8483034924 \tabularnewline
0.7 & 1184149.11411288 & 13858.5974901231 \tabularnewline
0.71 & 1187787.35769273 & 14415.9091862932 \tabularnewline
0.72 & 1191614.94137474 & 14996.7014089858 \tabularnewline
0.73 & 1195636.22178295 & 15583.1938684408 \tabularnewline
0.74 & 1199845.12919853 & 16123.9241485523 \tabularnewline
0.75 & 1204215.68987611 & 16522.6271359994 \tabularnewline
0.76 & 1208694.77541958 & 16669.6331759276 \tabularnewline
0.77 & 1213200.0406947 & 16462.1951388212 \tabularnewline
0.78 & 1217625.03076528 & 15831.2608699027 \tabularnewline
0.79 & 1221851.84348252 & 14763.8522338848 \tabularnewline
0.8 & 1225769.67835128 & 13318.8037090277 \tabularnewline
0.81 & 1229295.37542235 & 11629.8606497233 \tabularnewline
0.82 & 1232390.38558259 & 9878.03694506964 \tabularnewline
0.83 & 1235068.6254683 & 8260.09080032218 \tabularnewline
0.84 & 1237392.11132385 & 6938.58344726144 \tabularnewline
0.85 & 1239455.57300204 & 6003.37099247868 \tabularnewline
0.86 & 1241365.34387973 & 5452.2351821967 \tabularnewline
0.87 & 1243219.36517294 & 5206.23363787111 \tabularnewline
0.88 & 1245093.60543538 & 5151.96518929778 \tabularnewline
0.89 & 1247037.76403786 & 5184.73680708839 \tabularnewline
0.9 & 1249082.62312239 & 5229.42050802418 \tabularnewline
0.91 & 1251262.44137539 & 5279.49004987247 \tabularnewline
0.92 & 1253655.32922579 & 5436.88938698436 \tabularnewline
0.93 & 1256447.52513528 & 5919.29632654807 \tabularnewline
0.94 & 1260048.98933665 & 7079.65483247087 \tabularnewline
0.95 & 1265288.23903682 & 9622.30283818623 \tabularnewline
0.96 & 1273501.72492396 & 14395.3128620729 \tabularnewline
0.97 & 1285908.95215211 & 19982.5293221915 \tabularnewline
0.98 & 1302186.54649603 & 21124.2577034095 \tabularnewline
0.99 & 1319691.83926955 & 17201.7701044431 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211246&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]409115.770407409[/C][C]69281.7982928793[/C][/ROW]
[ROW][C]0.02[/C][C]468312.893389011[/C][C]45641.9766348459[/C][/ROW]
[ROW][C]0.03[/C][C]507736.34582138[/C][C]39724.1066125226[/C][/ROW]
[ROW][C]0.04[/C][C]537356.859259617[/C][C]46385.4111250842[/C][/ROW]
[ROW][C]0.05[/C][C]564924.600592458[/C][C]50840.041204385[/C][/ROW]
[ROW][C]0.06[/C][C]590855.088251778[/C][C]47893.7155116726[/C][/ROW]
[ROW][C]0.07[/C][C]613285.006122263[/C][C]40566.0163890068[/C][/ROW]
[ROW][C]0.08[/C][C]631441.200524225[/C][C]33557.5568923734[/C][/ROW]
[ROW][C]0.09[/C][C]646074.285112573[/C][C]29549.2453227075[/C][/ROW]
[ROW][C]0.1[/C][C]658633.835544556[/C][C]29049.4663732902[/C][/ROW]
[ROW][C]0.11[/C][C]670527.075211515[/C][C]31455.4380147885[/C][/ROW]
[ROW][C]0.12[/C][C]682783.09576686[/C][C]35705.1452644171[/C][/ROW]
[ROW][C]0.13[/C][C]695967.956629378[/C][C]40562.8986031895[/C][/ROW]
[ROW][C]0.14[/C][C]710205.930079278[/C][C]44863.081260649[/C][/ROW]
[ROW][C]0.15[/C][C]725266.743861849[/C][C]47762.9108809997[/C][/ROW]
[ROW][C]0.16[/C][C]740708.129898932[/C][C]48918.726433001[/C][/ROW]
[ROW][C]0.17[/C][C]756041.575643112[/C][C]48496.0623157364[/C][/ROW]
[ROW][C]0.18[/C][C]770873.91646805[/C][C]47035.1203443092[/C][/ROW]
[ROW][C]0.19[/C][C]784988.651255984[/C][C]45221.1096552447[/C][/ROW]
[ROW][C]0.2[/C][C]798358.05850118[/C][C]43668.9200651059[/C][/ROW]
[ROW][C]0.21[/C][C]811102.229163381[/C][C]42770.0332425234[/C][/ROW]
[ROW][C]0.22[/C][C]823423.123036365[/C][C]42666.2350431463[/C][/ROW]
[ROW][C]0.23[/C][C]835540.014431916[/C][C]43280.234341983[/C][/ROW]
[ROW][C]0.24[/C][C]847642.774998789[/C][C]44419.9896806345[/C][/ROW]
[ROW][C]0.25[/C][C]859867.923876496[/C][C]45863.4740407768[/C][/ROW]
[ROW][C]0.26[/C][C]872293.731653597[/C][C]47412.680471258[/C][/ROW]
[ROW][C]0.27[/C][C]884946.599179467[/C][C]48915.1477997943[/C][/ROW]
[ROW][C]0.28[/C][C]897811.051183307[/C][C]50244.2425605396[/C][/ROW]
[ROW][C]0.29[/C][C]910838.459000514[/C][C]51295.1996448397[/C][/ROW]
[ROW][C]0.3[/C][C]923953.191349902[/C][C]51971.2823249257[/C][/ROW]
[ROW][C]0.31[/C][C]937057.720534664[/C][C]52179.5430532183[/C][/ROW]
[ROW][C]0.32[/C][C]950039.359178457[/C][C]51863.907859431[/C][/ROW]
[ROW][C]0.33[/C][C]962780.617785163[/C][C]51011.4351687386[/C][/ROW]
[ROW][C]0.34[/C][C]975173.197812239[/C][C]49685.1425222998[/C][/ROW]
[ROW][C]0.35[/C][C]987133.35157137[/C][C]48017.7991783379[/C][/ROW]
[ROW][C]0.36[/C][C]998614.794421105[/C][C]46202.1277260941[/C][/ROW]
[ROW][C]0.37[/C][C]1009615.24632919[/C][C]44451.3403273772[/C][/ROW]
[ROW][C]0.38[/C][C]1020174.08758371[/C][C]42945.4020270164[/C][/ROW]
[ROW][C]0.39[/C][C]1030360.99389644[/C][C]41799.1676618183[/C][/ROW]
[ROW][C]0.4[/C][C]1040257.88685954[/C][C]41022.2037211243[/C][/ROW]
[ROW][C]0.41[/C][C]1049938.28053213[/C][C]40527.3340717011[/C][/ROW]
[ROW][C]0.42[/C][C]1059448.67670336[/C][C]40148.0363447586[/C][/ROW]
[ROW][C]0.43[/C][C]1068796.0490433[/C][C]39673.9542682589[/C][/ROW]
[ROW][C]0.44[/C][C]1077943.95402036[/C][C]38910.0092518669[/C][/ROW]
[ROW][C]0.45[/C][C]1086817.83140979[/C][C]37698.0657816295[/C][/ROW]
[ROW][C]0.46[/C][C]1095318.03932404[/C][C]35957.5181150126[/C][/ROW]
[ROW][C]0.47[/C][C]1103337.52207121[/C][C]33706.2819914074[/C][/ROW]
[ROW][C]0.48[/C][C]1110780.10889904[/C][C]31030.374380177[/C][/ROW]
[ROW][C]0.49[/C][C]1117575.53926786[/C][C]28083.0649412791[/C][/ROW]
[ROW][C]0.5[/C][C]1123688.40793738[/C][C]25040.6253689916[/C][/ROW]
[ROW][C]0.51[/C][C]1129120.00309889[/C][C]22078.5903075049[/C][/ROW]
[ROW][C]0.52[/C][C]1133903.90625215[/C][C]19327.8973926103[/C][/ROW]
[ROW][C]0.53[/C][C]1138097.62764659[/C][C]16876.0657811497[/C][/ROW]
[ROW][C]0.54[/C][C]1141773.06875497[/C][C]14767.3369710045[/C][/ROW]
[ROW][C]0.55[/C][C]1145008.19773799[/C][C]13001.5901993591[/C][/ROW]
[ROW][C]0.56[/C][C]1147881.30084265[/C][C]11572.7163537607[/C][/ROW]
[ROW][C]0.57[/C][C]1150468.00833397[/C][C]10456.3806243813[/C][/ROW]
[ROW][C]0.58[/C][C]1152840.41252193[/C][C]9638.01066325704[/C][/ROW]
[ROW][C]0.59[/C][C]1155067.21031732[/C][C]9105.82233925864[/C][/ROW]
[ROW][C]0.6[/C][C]1157213.88087751[/C][C]8848.24383683437[/C][/ROW]
[ROW][C]0.61[/C][C]1159342.25906483[/C][C]8845.59148107032[/C][/ROW]
[ROW][C]0.62[/C][C]1161509.2780198[/C][C]9075.84985520761[/C][/ROW]
[ROW][C]0.63[/C][C]1163765.00894957[/C][C]9499.33683304197[/C][/ROW]
[ROW][C]0.64[/C][C]1166150.40924256[/C][C]10067.573042284[/C][/ROW]
[ROW][C]0.65[/C][C]1168695.42135774[/C][C]10726.0478409734[/C][/ROW]
[ROW][C]0.66[/C][C]1171418.20309827[/C][C]11416.4390036752[/C][/ROW]
[ROW][C]0.67[/C][C]1174326.18199025[/C][C]12089.7044965116[/C][/ROW]
[ROW][C]0.68[/C][C]1177419.17331895[/C][C]12720.6419588497[/C][/ROW]
[ROW][C]0.69[/C][C]1180693.99434874[/C][C]13302.8483034924[/C][/ROW]
[ROW][C]0.7[/C][C]1184149.11411288[/C][C]13858.5974901231[/C][/ROW]
[ROW][C]0.71[/C][C]1187787.35769273[/C][C]14415.9091862932[/C][/ROW]
[ROW][C]0.72[/C][C]1191614.94137474[/C][C]14996.7014089858[/C][/ROW]
[ROW][C]0.73[/C][C]1195636.22178295[/C][C]15583.1938684408[/C][/ROW]
[ROW][C]0.74[/C][C]1199845.12919853[/C][C]16123.9241485523[/C][/ROW]
[ROW][C]0.75[/C][C]1204215.68987611[/C][C]16522.6271359994[/C][/ROW]
[ROW][C]0.76[/C][C]1208694.77541958[/C][C]16669.6331759276[/C][/ROW]
[ROW][C]0.77[/C][C]1213200.0406947[/C][C]16462.1951388212[/C][/ROW]
[ROW][C]0.78[/C][C]1217625.03076528[/C][C]15831.2608699027[/C][/ROW]
[ROW][C]0.79[/C][C]1221851.84348252[/C][C]14763.8522338848[/C][/ROW]
[ROW][C]0.8[/C][C]1225769.67835128[/C][C]13318.8037090277[/C][/ROW]
[ROW][C]0.81[/C][C]1229295.37542235[/C][C]11629.8606497233[/C][/ROW]
[ROW][C]0.82[/C][C]1232390.38558259[/C][C]9878.03694506964[/C][/ROW]
[ROW][C]0.83[/C][C]1235068.6254683[/C][C]8260.09080032218[/C][/ROW]
[ROW][C]0.84[/C][C]1237392.11132385[/C][C]6938.58344726144[/C][/ROW]
[ROW][C]0.85[/C][C]1239455.57300204[/C][C]6003.37099247868[/C][/ROW]
[ROW][C]0.86[/C][C]1241365.34387973[/C][C]5452.2351821967[/C][/ROW]
[ROW][C]0.87[/C][C]1243219.36517294[/C][C]5206.23363787111[/C][/ROW]
[ROW][C]0.88[/C][C]1245093.60543538[/C][C]5151.96518929778[/C][/ROW]
[ROW][C]0.89[/C][C]1247037.76403786[/C][C]5184.73680708839[/C][/ROW]
[ROW][C]0.9[/C][C]1249082.62312239[/C][C]5229.42050802418[/C][/ROW]
[ROW][C]0.91[/C][C]1251262.44137539[/C][C]5279.49004987247[/C][/ROW]
[ROW][C]0.92[/C][C]1253655.32922579[/C][C]5436.88938698436[/C][/ROW]
[ROW][C]0.93[/C][C]1256447.52513528[/C][C]5919.29632654807[/C][/ROW]
[ROW][C]0.94[/C][C]1260048.98933665[/C][C]7079.65483247087[/C][/ROW]
[ROW][C]0.95[/C][C]1265288.23903682[/C][C]9622.30283818623[/C][/ROW]
[ROW][C]0.96[/C][C]1273501.72492396[/C][C]14395.3128620729[/C][/ROW]
[ROW][C]0.97[/C][C]1285908.95215211[/C][C]19982.5293221915[/C][/ROW]
[ROW][C]0.98[/C][C]1302186.54649603[/C][C]21124.2577034095[/C][/ROW]
[ROW][C]0.99[/C][C]1319691.83926955[/C][C]17201.7701044431[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211246&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211246&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
0.01409115.77040740969281.7982928793
0.02468312.89338901145641.9766348459
0.03507736.3458213839724.1066125226
0.04537356.85925961746385.4111250842
0.05564924.60059245850840.041204385
0.06590855.08825177847893.7155116726
0.07613285.00612226340566.0163890068
0.08631441.20052422533557.5568923734
0.09646074.28511257329549.2453227075
0.1658633.83554455629049.4663732902
0.11670527.07521151531455.4380147885
0.12682783.0957668635705.1452644171
0.13695967.95662937840562.8986031895
0.14710205.93007927844863.081260649
0.15725266.74386184947762.9108809997
0.16740708.12989893248918.726433001
0.17756041.57564311248496.0623157364
0.18770873.9164680547035.1203443092
0.19784988.65125598445221.1096552447
0.2798358.0585011843668.9200651059
0.21811102.22916338142770.0332425234
0.22823423.12303636542666.2350431463
0.23835540.01443191643280.234341983
0.24847642.77499878944419.9896806345
0.25859867.92387649645863.4740407768
0.26872293.73165359747412.680471258
0.27884946.59917946748915.1477997943
0.28897811.05118330750244.2425605396
0.29910838.45900051451295.1996448397
0.3923953.19134990251971.2823249257
0.31937057.72053466452179.5430532183
0.32950039.35917845751863.907859431
0.33962780.61778516351011.4351687386
0.34975173.19781223949685.1425222998
0.35987133.3515713748017.7991783379
0.36998614.79442110546202.1277260941
0.371009615.2463291944451.3403273772
0.381020174.0875837142945.4020270164
0.391030360.9938964441799.1676618183
0.41040257.8868595441022.2037211243
0.411049938.2805321340527.3340717011
0.421059448.6767033640148.0363447586
0.431068796.049043339673.9542682589
0.441077943.9540203638910.0092518669
0.451086817.8314097937698.0657816295
0.461095318.0393240435957.5181150126
0.471103337.5220712133706.2819914074
0.481110780.1088990431030.374380177
0.491117575.5392678628083.0649412791
0.51123688.4079373825040.6253689916
0.511129120.0030988922078.5903075049
0.521133903.9062521519327.8973926103
0.531138097.6276465916876.0657811497
0.541141773.0687549714767.3369710045
0.551145008.1977379913001.5901993591
0.561147881.3008426511572.7163537607
0.571150468.0083339710456.3806243813
0.581152840.412521939638.01066325704
0.591155067.210317329105.82233925864
0.61157213.880877518848.24383683437
0.611159342.259064838845.59148107032
0.621161509.27801989075.84985520761
0.631163765.008949579499.33683304197
0.641166150.4092425610067.573042284
0.651168695.4213577410726.0478409734
0.661171418.2030982711416.4390036752
0.671174326.1819902512089.7044965116
0.681177419.1733189512720.6419588497
0.691180693.9943487413302.8483034924
0.71184149.1141128813858.5974901231
0.711187787.3576927314415.9091862932
0.721191614.9413747414996.7014089858
0.731195636.2217829515583.1938684408
0.741199845.1291985316123.9241485523
0.751204215.6898761116522.6271359994
0.761208694.7754195816669.6331759276
0.771213200.040694716462.1951388212
0.781217625.0307652815831.2608699027
0.791221851.8434825214763.8522338848
0.81225769.6783512813318.8037090277
0.811229295.3754223511629.8606497233
0.821232390.385582599878.03694506964
0.831235068.62546838260.09080032218
0.841237392.111323856938.58344726144
0.851239455.573002046003.37099247868
0.861241365.343879735452.2351821967
0.871243219.365172945206.23363787111
0.881245093.605435385151.96518929778
0.891247037.764037865184.73680708839
0.91249082.623122395229.42050802418
0.911251262.441375395279.49004987247
0.921253655.329225795436.88938698436
0.931256447.525135285919.29632654807
0.941260048.989336657079.65483247087
0.951265288.239036829622.30283818623
0.961273501.7249239614395.3128620729
0.971285908.9521521119982.5293221915
0.981302186.5464960321124.2577034095
0.991319691.8392695517201.7701044431


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')