Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*Unverified author*

R Software Module

rwasp_harrell_davis.wasp

Title produced by software

Harrell-Davis Quantiles

Date of computation

Sat, 05 Oct 2013 03:30:08 -0400

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/05/t1380958226iwd0bd027tm8gw4.htm/, Retrieved Wed, 11 Feb 2026 23:52:03 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213264, Retrieved Wed, 11 Feb 2026 23:52:03 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

425

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Histogram] [] [2013-10-05 07:06:01] [61b25b32dcf69dddf2383fb8b69d6222]
- RMPD  [Harrell-Davis Quantiles] [] [2013-10-05 07:20:46] [61b25b32dcf69dddf2383fb8b69d6222]
- R  D      [Harrell-Davis Quantiles] [] [2013-10-05 07:30:08] [965d8e4285dc45bda73badb1d6df0ae0] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

-1
-2
-5
-4
-6
-2
-2
-2
-2
2
1
-8
-1
1
-1
2
2
1
-1
-2
-2
-1
-8
-4
-6
-3
-3
-7
-9
-11
-13
-11
-9
-17
-22
-25
-20
-24
-24
-22
-19
-18
-17
-11
-11
-12
-10
-15
-15
-15
-13
-8
-13
-9
-7
-4
-4
-2
0
-2
-3
1
-2
-1
1
-3
-4
-9
-9
-7
-14
-12
-16
-20
-12
-12
-10
-10
-13
-16
-14
-17
-24
-25
-23
-17
-24
-20
-19
-18
-16
-12

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
R Framework error message & Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213264&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213264&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213264&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 computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

Harrell-Davis Quantiles
quantiles	value	standard error
0.01	-24.880160736748	0.307603080442003
0.02	-24.620549229352	0.502892504084829
0.03	-24.3041241086391	0.517537357231043
0.04	-23.9863278527436	0.583014445838736
0.05	-23.6516226877687	0.800769888050901
0.06	-23.2602696073401	1.0849083567172
0.07	-22.7937427755028	1.341417552614
0.08	-22.2638461516851	1.51793284316095
0.09	-21.6996089995761	1.60290151603097
0.1	-21.1315557585187	1.61268090747499
0.11	-20.5822960272714	1.57571626258534
0.12	-20.0640478742301	1.51939552116448
0.13	-19.5805283930243	1.4617865293954
0.14	-19.1304228149385	1.40954399205775
0.15	-18.7104856013169	1.36166610748617
0.16	-18.3173628857857	1.31523949758942
0.17	-17.9481011218041	1.26985763323632
0.18	-17.5998392729229	1.22883213332406
0.19	-17.2693136890424	1.19758832775779
0.2	-16.9526265975321	1.18107718722527
0.21	-16.6454267591888	1.18151956965642
0.22	-16.3433991139386	1.19764915479978
0.23	-16.042846669002	1.22525995228668
0.24	-15.7411650182799	1.25861242439106
0.25	-15.4370968198848	1.29156031872859
0.26	-15.1307460471532	1.31863634331376
0.27	-14.8233927122443	1.33545651876678
0.28	-14.5171723596798	1.33918157210705
0.29	-14.2146841177618	1.32870898162793
0.3	-13.9185824511292	1.30473348755831
0.31	-13.631199849021	1.26961560011602
0.32	-13.3542410541697	1.22705229851932
0.33	-13.0885806361658	1.18148049174529
0.34	-12.8341823001139	1.13757591204707
0.35	-12.590141227144	1.09953186156458
0.36	-12.3548335178179	1.07058595022296
0.37	-12.126143320588	1.0526740977197
0.38	-11.9017307317858	1.04624949255596
0.39	-11.6793021568009	1.05036923853783
0.4	-11.4568481800762	1.06290032175356
0.41	-11.2328204527701	1.08100188539282
0.42	-11.006227534582	1.10152968813619
0.43	-10.7766395679551	1.12162471622373
0.44	-10.5441029677226	1.13906644146968
0.45	-10.3089785195605	1.15270970276328
0.46	-10.0717281608322	1.16264808958827
0.47	-9.83268519969148	1.17022301930295
0.48	-9.59184739283319	1.17787532640234
0.49	-9.34873027641484	1.18870708154979
0.5	-9.10230905129548	1.2058749321702
0.51	-8.85106277477161	1.23199652655504
0.52	-8.59311786658728	1.26851491562738
0.53	-8.3264727480286	1.31541265188541
0.54	-8.04927457107717	1.37105108319833
0.55	-7.76011325209851	1.43230571693467
0.56	-7.45829630357309	1.49481761728209
0.57	-7.14406848504823	1.55336166786436
0.58	-6.81874228988189	1.60234357661738
0.59	-6.48471000358327	1.63635593853967
0.6	-6.14531837257118	1.65090879669128
0.61	-5.80460531077421	1.64313152844838
0.62	-5.46692413659075	1.61229083429006
0.63	-5.13650963344553	1.56006407104734
0.64	-4.81706287744756	1.49030597915297
0.65	-4.51143845542575	1.40838843148824
0.66	-4.22150195739735	1.32016078733327
0.67	-3.94818798715223	1.23077834908613
0.68	-3.69173790761958	1.14366506007693
0.69	-3.45204640271547	1.06002289529793
0.7	-3.22901208486095	0.9789726881384
0.71	-3.0227811618313	0.898371977993966
0.72	-2.83379827669208	0.816023980340275
0.73	-2.66263006684683	0.730901413774248
0.74	-2.50959269709168	0.644010505433052
0.75	-2.37427862271644	0.558727537992377
0.76	-2.25512359029269	0.480552350208221
0.77	-2.14916793859318	0.416385108699673
0.78	-2.05213617360696	0.373242174785542
0.79	-1.95888138312488	0.355878986512017
0.8	-1.8641227417897	0.363692103256562
0.81	-1.76326900678718	0.389884034299347
0.82	-1.65301597427169	0.424573989367777
0.83	-1.53139940140796	0.459158551193504
0.84	-1.3971427316401	0.489866624065253
0.85	-1.24847772430284	0.519964590701159
0.86	-1.08204564604056	0.559113270562874
0.87	-0.89278086525923	0.617491399393014
0.88	-0.675529930256734	0.695642554128467
0.89	-0.428354006464918	0.777550514770344
0.9	-0.156137711143079	0.833813167789454
0.91	0.128051096137955	0.834342082101705
0.92	0.406363678547202	0.765627583736397
0.93	0.664639118599612	0.644846121758682
0.94	0.901913584566888	0.522460313767656
0.95	1.13258214701478	0.462575847474648
0.96	1.37341149369957	0.473173241386689
0.97	1.61913214566191	0.460550310797176
0.98	1.83006569708328	0.332568573384055
0.99	1.95865146959491	0.127979593782077

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -24.880160736748 & 0.307603080442003 \tabularnewline
0.02 & -24.620549229352 & 0.502892504084829 \tabularnewline
0.03 & -24.3041241086391 & 0.517537357231043 \tabularnewline
0.04 & -23.9863278527436 & 0.583014445838736 \tabularnewline
0.05 & -23.6516226877687 & 0.800769888050901 \tabularnewline
0.06 & -23.2602696073401 & 1.0849083567172 \tabularnewline
0.07 & -22.7937427755028 & 1.341417552614 \tabularnewline
0.08 & -22.2638461516851 & 1.51793284316095 \tabularnewline
0.09 & -21.6996089995761 & 1.60290151603097 \tabularnewline
0.1 & -21.1315557585187 & 1.61268090747499 \tabularnewline
0.11 & -20.5822960272714 & 1.57571626258534 \tabularnewline
0.12 & -20.0640478742301 & 1.51939552116448 \tabularnewline
0.13 & -19.5805283930243 & 1.4617865293954 \tabularnewline
0.14 & -19.1304228149385 & 1.40954399205775 \tabularnewline
0.15 & -18.7104856013169 & 1.36166610748617 \tabularnewline
0.16 & -18.3173628857857 & 1.31523949758942 \tabularnewline
0.17 & -17.9481011218041 & 1.26985763323632 \tabularnewline
0.18 & -17.5998392729229 & 1.22883213332406 \tabularnewline
0.19 & -17.2693136890424 & 1.19758832775779 \tabularnewline
0.2 & -16.9526265975321 & 1.18107718722527 \tabularnewline
0.21 & -16.6454267591888 & 1.18151956965642 \tabularnewline
0.22 & -16.3433991139386 & 1.19764915479978 \tabularnewline
0.23 & -16.042846669002 & 1.22525995228668 \tabularnewline
0.24 & -15.7411650182799 & 1.25861242439106 \tabularnewline
0.25 & -15.4370968198848 & 1.29156031872859 \tabularnewline
0.26 & -15.1307460471532 & 1.31863634331376 \tabularnewline
0.27 & -14.8233927122443 & 1.33545651876678 \tabularnewline
0.28 & -14.5171723596798 & 1.33918157210705 \tabularnewline
0.29 & -14.2146841177618 & 1.32870898162793 \tabularnewline
0.3 & -13.9185824511292 & 1.30473348755831 \tabularnewline
0.31 & -13.631199849021 & 1.26961560011602 \tabularnewline
0.32 & -13.3542410541697 & 1.22705229851932 \tabularnewline
0.33 & -13.0885806361658 & 1.18148049174529 \tabularnewline
0.34 & -12.8341823001139 & 1.13757591204707 \tabularnewline
0.35 & -12.590141227144 & 1.09953186156458 \tabularnewline
0.36 & -12.3548335178179 & 1.07058595022296 \tabularnewline
0.37 & -12.126143320588 & 1.0526740977197 \tabularnewline
0.38 & -11.9017307317858 & 1.04624949255596 \tabularnewline
0.39 & -11.6793021568009 & 1.05036923853783 \tabularnewline
0.4 & -11.4568481800762 & 1.06290032175356 \tabularnewline
0.41 & -11.2328204527701 & 1.08100188539282 \tabularnewline
0.42 & -11.006227534582 & 1.10152968813619 \tabularnewline
0.43 & -10.7766395679551 & 1.12162471622373 \tabularnewline
0.44 & -10.5441029677226 & 1.13906644146968 \tabularnewline
0.45 & -10.3089785195605 & 1.15270970276328 \tabularnewline
0.46 & -10.0717281608322 & 1.16264808958827 \tabularnewline
0.47 & -9.83268519969148 & 1.17022301930295 \tabularnewline
0.48 & -9.59184739283319 & 1.17787532640234 \tabularnewline
0.49 & -9.34873027641484 & 1.18870708154979 \tabularnewline
0.5 & -9.10230905129548 & 1.2058749321702 \tabularnewline
0.51 & -8.85106277477161 & 1.23199652655504 \tabularnewline
0.52 & -8.59311786658728 & 1.26851491562738 \tabularnewline
0.53 & -8.3264727480286 & 1.31541265188541 \tabularnewline
0.54 & -8.04927457107717 & 1.37105108319833 \tabularnewline
0.55 & -7.76011325209851 & 1.43230571693467 \tabularnewline
0.56 & -7.45829630357309 & 1.49481761728209 \tabularnewline
0.57 & -7.14406848504823 & 1.55336166786436 \tabularnewline
0.58 & -6.81874228988189 & 1.60234357661738 \tabularnewline
0.59 & -6.48471000358327 & 1.63635593853967 \tabularnewline
0.6 & -6.14531837257118 & 1.65090879669128 \tabularnewline
0.61 & -5.80460531077421 & 1.64313152844838 \tabularnewline
0.62 & -5.46692413659075 & 1.61229083429006 \tabularnewline
0.63 & -5.13650963344553 & 1.56006407104734 \tabularnewline
0.64 & -4.81706287744756 & 1.49030597915297 \tabularnewline
0.65 & -4.51143845542575 & 1.40838843148824 \tabularnewline
0.66 & -4.22150195739735 & 1.32016078733327 \tabularnewline
0.67 & -3.94818798715223 & 1.23077834908613 \tabularnewline
0.68 & -3.69173790761958 & 1.14366506007693 \tabularnewline
0.69 & -3.45204640271547 & 1.06002289529793 \tabularnewline
0.7 & -3.22901208486095 & 0.9789726881384 \tabularnewline
0.71 & -3.0227811618313 & 0.898371977993966 \tabularnewline
0.72 & -2.83379827669208 & 0.816023980340275 \tabularnewline
0.73 & -2.66263006684683 & 0.730901413774248 \tabularnewline
0.74 & -2.50959269709168 & 0.644010505433052 \tabularnewline
0.75 & -2.37427862271644 & 0.558727537992377 \tabularnewline
0.76 & -2.25512359029269 & 0.480552350208221 \tabularnewline
0.77 & -2.14916793859318 & 0.416385108699673 \tabularnewline
0.78 & -2.05213617360696 & 0.373242174785542 \tabularnewline
0.79 & -1.95888138312488 & 0.355878986512017 \tabularnewline
0.8 & -1.8641227417897 & 0.363692103256562 \tabularnewline
0.81 & -1.76326900678718 & 0.389884034299347 \tabularnewline
0.82 & -1.65301597427169 & 0.424573989367777 \tabularnewline
0.83 & -1.53139940140796 & 0.459158551193504 \tabularnewline
0.84 & -1.3971427316401 & 0.489866624065253 \tabularnewline
0.85 & -1.24847772430284 & 0.519964590701159 \tabularnewline
0.86 & -1.08204564604056 & 0.559113270562874 \tabularnewline
0.87 & -0.89278086525923 & 0.617491399393014 \tabularnewline
0.88 & -0.675529930256734 & 0.695642554128467 \tabularnewline
0.89 & -0.428354006464918 & 0.777550514770344 \tabularnewline
0.9 & -0.156137711143079 & 0.833813167789454 \tabularnewline
0.91 & 0.128051096137955 & 0.834342082101705 \tabularnewline
0.92 & 0.406363678547202 & 0.765627583736397 \tabularnewline
0.93 & 0.664639118599612 & 0.644846121758682 \tabularnewline
0.94 & 0.901913584566888 & 0.522460313767656 \tabularnewline
0.95 & 1.13258214701478 & 0.462575847474648 \tabularnewline
0.96 & 1.37341149369957 & 0.473173241386689 \tabularnewline
0.97 & 1.61913214566191 & 0.460550310797176 \tabularnewline
0.98 & 1.83006569708328 & 0.332568573384055 \tabularnewline
0.99 & 1.95865146959491 & 0.127979593782077 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213264&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]-24.880160736748[/C][C]0.307603080442003[/C][/ROW]
[ROW][C]0.02[/C][C]-24.620549229352[/C][C]0.502892504084829[/C][/ROW]
[ROW][C]0.03[/C][C]-24.3041241086391[/C][C]0.517537357231043[/C][/ROW]
[ROW][C]0.04[/C][C]-23.9863278527436[/C][C]0.583014445838736[/C][/ROW]
[ROW][C]0.05[/C][C]-23.6516226877687[/C][C]0.800769888050901[/C][/ROW]
[ROW][C]0.06[/C][C]-23.2602696073401[/C][C]1.0849083567172[/C][/ROW]
[ROW][C]0.07[/C][C]-22.7937427755028[/C][C]1.341417552614[/C][/ROW]
[ROW][C]0.08[/C][C]-22.2638461516851[/C][C]1.51793284316095[/C][/ROW]
[ROW][C]0.09[/C][C]-21.6996089995761[/C][C]1.60290151603097[/C][/ROW]
[ROW][C]0.1[/C][C]-21.1315557585187[/C][C]1.61268090747499[/C][/ROW]
[ROW][C]0.11[/C][C]-20.5822960272714[/C][C]1.57571626258534[/C][/ROW]
[ROW][C]0.12[/C][C]-20.0640478742301[/C][C]1.51939552116448[/C][/ROW]
[ROW][C]0.13[/C][C]-19.5805283930243[/C][C]1.4617865293954[/C][/ROW]
[ROW][C]0.14[/C][C]-19.1304228149385[/C][C]1.40954399205775[/C][/ROW]
[ROW][C]0.15[/C][C]-18.7104856013169[/C][C]1.36166610748617[/C][/ROW]
[ROW][C]0.16[/C][C]-18.3173628857857[/C][C]1.31523949758942[/C][/ROW]
[ROW][C]0.17[/C][C]-17.9481011218041[/C][C]1.26985763323632[/C][/ROW]
[ROW][C]0.18[/C][C]-17.5998392729229[/C][C]1.22883213332406[/C][/ROW]
[ROW][C]0.19[/C][C]-17.2693136890424[/C][C]1.19758832775779[/C][/ROW]
[ROW][C]0.2[/C][C]-16.9526265975321[/C][C]1.18107718722527[/C][/ROW]
[ROW][C]0.21[/C][C]-16.6454267591888[/C][C]1.18151956965642[/C][/ROW]
[ROW][C]0.22[/C][C]-16.3433991139386[/C][C]1.19764915479978[/C][/ROW]
[ROW][C]0.23[/C][C]-16.042846669002[/C][C]1.22525995228668[/C][/ROW]
[ROW][C]0.24[/C][C]-15.7411650182799[/C][C]1.25861242439106[/C][/ROW]
[ROW][C]0.25[/C][C]-15.4370968198848[/C][C]1.29156031872859[/C][/ROW]
[ROW][C]0.26[/C][C]-15.1307460471532[/C][C]1.31863634331376[/C][/ROW]
[ROW][C]0.27[/C][C]-14.8233927122443[/C][C]1.33545651876678[/C][/ROW]
[ROW][C]0.28[/C][C]-14.5171723596798[/C][C]1.33918157210705[/C][/ROW]
[ROW][C]0.29[/C][C]-14.2146841177618[/C][C]1.32870898162793[/C][/ROW]
[ROW][C]0.3[/C][C]-13.9185824511292[/C][C]1.30473348755831[/C][/ROW]
[ROW][C]0.31[/C][C]-13.631199849021[/C][C]1.26961560011602[/C][/ROW]
[ROW][C]0.32[/C][C]-13.3542410541697[/C][C]1.22705229851932[/C][/ROW]
[ROW][C]0.33[/C][C]-13.0885806361658[/C][C]1.18148049174529[/C][/ROW]
[ROW][C]0.34[/C][C]-12.8341823001139[/C][C]1.13757591204707[/C][/ROW]
[ROW][C]0.35[/C][C]-12.590141227144[/C][C]1.09953186156458[/C][/ROW]
[ROW][C]0.36[/C][C]-12.3548335178179[/C][C]1.07058595022296[/C][/ROW]
[ROW][C]0.37[/C][C]-12.126143320588[/C][C]1.0526740977197[/C][/ROW]
[ROW][C]0.38[/C][C]-11.9017307317858[/C][C]1.04624949255596[/C][/ROW]
[ROW][C]0.39[/C][C]-11.6793021568009[/C][C]1.05036923853783[/C][/ROW]
[ROW][C]0.4[/C][C]-11.4568481800762[/C][C]1.06290032175356[/C][/ROW]
[ROW][C]0.41[/C][C]-11.2328204527701[/C][C]1.08100188539282[/C][/ROW]
[ROW][C]0.42[/C][C]-11.006227534582[/C][C]1.10152968813619[/C][/ROW]
[ROW][C]0.43[/C][C]-10.7766395679551[/C][C]1.12162471622373[/C][/ROW]
[ROW][C]0.44[/C][C]-10.5441029677226[/C][C]1.13906644146968[/C][/ROW]
[ROW][C]0.45[/C][C]-10.3089785195605[/C][C]1.15270970276328[/C][/ROW]
[ROW][C]0.46[/C][C]-10.0717281608322[/C][C]1.16264808958827[/C][/ROW]
[ROW][C]0.47[/C][C]-9.83268519969148[/C][C]1.17022301930295[/C][/ROW]
[ROW][C]0.48[/C][C]-9.59184739283319[/C][C]1.17787532640234[/C][/ROW]
[ROW][C]0.49[/C][C]-9.34873027641484[/C][C]1.18870708154979[/C][/ROW]
[ROW][C]0.5[/C][C]-9.10230905129548[/C][C]1.2058749321702[/C][/ROW]
[ROW][C]0.51[/C][C]-8.85106277477161[/C][C]1.23199652655504[/C][/ROW]
[ROW][C]0.52[/C][C]-8.59311786658728[/C][C]1.26851491562738[/C][/ROW]
[ROW][C]0.53[/C][C]-8.3264727480286[/C][C]1.31541265188541[/C][/ROW]
[ROW][C]0.54[/C][C]-8.04927457107717[/C][C]1.37105108319833[/C][/ROW]
[ROW][C]0.55[/C][C]-7.76011325209851[/C][C]1.43230571693467[/C][/ROW]
[ROW][C]0.56[/C][C]-7.45829630357309[/C][C]1.49481761728209[/C][/ROW]
[ROW][C]0.57[/C][C]-7.14406848504823[/C][C]1.55336166786436[/C][/ROW]
[ROW][C]0.58[/C][C]-6.81874228988189[/C][C]1.60234357661738[/C][/ROW]
[ROW][C]0.59[/C][C]-6.48471000358327[/C][C]1.63635593853967[/C][/ROW]
[ROW][C]0.6[/C][C]-6.14531837257118[/C][C]1.65090879669128[/C][/ROW]
[ROW][C]0.61[/C][C]-5.80460531077421[/C][C]1.64313152844838[/C][/ROW]
[ROW][C]0.62[/C][C]-5.46692413659075[/C][C]1.61229083429006[/C][/ROW]
[ROW][C]0.63[/C][C]-5.13650963344553[/C][C]1.56006407104734[/C][/ROW]
[ROW][C]0.64[/C][C]-4.81706287744756[/C][C]1.49030597915297[/C][/ROW]
[ROW][C]0.65[/C][C]-4.51143845542575[/C][C]1.40838843148824[/C][/ROW]
[ROW][C]0.66[/C][C]-4.22150195739735[/C][C]1.32016078733327[/C][/ROW]
[ROW][C]0.67[/C][C]-3.94818798715223[/C][C]1.23077834908613[/C][/ROW]
[ROW][C]0.68[/C][C]-3.69173790761958[/C][C]1.14366506007693[/C][/ROW]
[ROW][C]0.69[/C][C]-3.45204640271547[/C][C]1.06002289529793[/C][/ROW]
[ROW][C]0.7[/C][C]-3.22901208486095[/C][C]0.9789726881384[/C][/ROW]
[ROW][C]0.71[/C][C]-3.0227811618313[/C][C]0.898371977993966[/C][/ROW]
[ROW][C]0.72[/C][C]-2.83379827669208[/C][C]0.816023980340275[/C][/ROW]
[ROW][C]0.73[/C][C]-2.66263006684683[/C][C]0.730901413774248[/C][/ROW]
[ROW][C]0.74[/C][C]-2.50959269709168[/C][C]0.644010505433052[/C][/ROW]
[ROW][C]0.75[/C][C]-2.37427862271644[/C][C]0.558727537992377[/C][/ROW]
[ROW][C]0.76[/C][C]-2.25512359029269[/C][C]0.480552350208221[/C][/ROW]
[ROW][C]0.77[/C][C]-2.14916793859318[/C][C]0.416385108699673[/C][/ROW]
[ROW][C]0.78[/C][C]-2.05213617360696[/C][C]0.373242174785542[/C][/ROW]
[ROW][C]0.79[/C][C]-1.95888138312488[/C][C]0.355878986512017[/C][/ROW]
[ROW][C]0.8[/C][C]-1.8641227417897[/C][C]0.363692103256562[/C][/ROW]
[ROW][C]0.81[/C][C]-1.76326900678718[/C][C]0.389884034299347[/C][/ROW]
[ROW][C]0.82[/C][C]-1.65301597427169[/C][C]0.424573989367777[/C][/ROW]
[ROW][C]0.83[/C][C]-1.53139940140796[/C][C]0.459158551193504[/C][/ROW]
[ROW][C]0.84[/C][C]-1.3971427316401[/C][C]0.489866624065253[/C][/ROW]
[ROW][C]0.85[/C][C]-1.24847772430284[/C][C]0.519964590701159[/C][/ROW]
[ROW][C]0.86[/C][C]-1.08204564604056[/C][C]0.559113270562874[/C][/ROW]
[ROW][C]0.87[/C][C]-0.89278086525923[/C][C]0.617491399393014[/C][/ROW]
[ROW][C]0.88[/C][C]-0.675529930256734[/C][C]0.695642554128467[/C][/ROW]
[ROW][C]0.89[/C][C]-0.428354006464918[/C][C]0.777550514770344[/C][/ROW]
[ROW][C]0.9[/C][C]-0.156137711143079[/C][C]0.833813167789454[/C][/ROW]
[ROW][C]0.91[/C][C]0.128051096137955[/C][C]0.834342082101705[/C][/ROW]
[ROW][C]0.92[/C][C]0.406363678547202[/C][C]0.765627583736397[/C][/ROW]
[ROW][C]0.93[/C][C]0.664639118599612[/C][C]0.644846121758682[/C][/ROW]
[ROW][C]0.94[/C][C]0.901913584566888[/C][C]0.522460313767656[/C][/ROW]
[ROW][C]0.95[/C][C]1.13258214701478[/C][C]0.462575847474648[/C][/ROW]
[ROW][C]0.96[/C][C]1.37341149369957[/C][C]0.473173241386689[/C][/ROW]
[ROW][C]0.97[/C][C]1.61913214566191[/C][C]0.460550310797176[/C][/ROW]
[ROW][C]0.98[/C][C]1.83006569708328[/C][C]0.332568573384055[/C][/ROW]
[ROW][C]0.99[/C][C]1.95865146959491[/C][C]0.127979593782077[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213264&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213264&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
quantiles	value	standard error
0.01	-24.880160736748	0.307603080442003
0.02	-24.620549229352	0.502892504084829
0.03	-24.3041241086391	0.517537357231043
0.04	-23.9863278527436	0.583014445838736
0.05	-23.6516226877687	0.800769888050901
0.06	-23.2602696073401	1.0849083567172
0.07	-22.7937427755028	1.341417552614
0.08	-22.2638461516851	1.51793284316095
0.09	-21.6996089995761	1.60290151603097
0.1	-21.1315557585187	1.61268090747499
0.11	-20.5822960272714	1.57571626258534
0.12	-20.0640478742301	1.51939552116448
0.13	-19.5805283930243	1.4617865293954
0.14	-19.1304228149385	1.40954399205775
0.15	-18.7104856013169	1.36166610748617
0.16	-18.3173628857857	1.31523949758942
0.17	-17.9481011218041	1.26985763323632
0.18	-17.5998392729229	1.22883213332406
0.19	-17.2693136890424	1.19758832775779
0.2	-16.9526265975321	1.18107718722527
0.21	-16.6454267591888	1.18151956965642
0.22	-16.3433991139386	1.19764915479978
0.23	-16.042846669002	1.22525995228668
0.24	-15.7411650182799	1.25861242439106
0.25	-15.4370968198848	1.29156031872859
0.26	-15.1307460471532	1.31863634331376
0.27	-14.8233927122443	1.33545651876678
0.28	-14.5171723596798	1.33918157210705
0.29	-14.2146841177618	1.32870898162793
0.3	-13.9185824511292	1.30473348755831
0.31	-13.631199849021	1.26961560011602
0.32	-13.3542410541697	1.22705229851932
0.33	-13.0885806361658	1.18148049174529
0.34	-12.8341823001139	1.13757591204707
0.35	-12.590141227144	1.09953186156458
0.36	-12.3548335178179	1.07058595022296
0.37	-12.126143320588	1.0526740977197
0.38	-11.9017307317858	1.04624949255596
0.39	-11.6793021568009	1.05036923853783
0.4	-11.4568481800762	1.06290032175356
0.41	-11.2328204527701	1.08100188539282
0.42	-11.006227534582	1.10152968813619
0.43	-10.7766395679551	1.12162471622373
0.44	-10.5441029677226	1.13906644146968
0.45	-10.3089785195605	1.15270970276328
0.46	-10.0717281608322	1.16264808958827
0.47	-9.83268519969148	1.17022301930295
0.48	-9.59184739283319	1.17787532640234
0.49	-9.34873027641484	1.18870708154979
0.5	-9.10230905129548	1.2058749321702
0.51	-8.85106277477161	1.23199652655504
0.52	-8.59311786658728	1.26851491562738
0.53	-8.3264727480286	1.31541265188541
0.54	-8.04927457107717	1.37105108319833
0.55	-7.76011325209851	1.43230571693467
0.56	-7.45829630357309	1.49481761728209
0.57	-7.14406848504823	1.55336166786436
0.58	-6.81874228988189	1.60234357661738
0.59	-6.48471000358327	1.63635593853967
0.6	-6.14531837257118	1.65090879669128
0.61	-5.80460531077421	1.64313152844838
0.62	-5.46692413659075	1.61229083429006
0.63	-5.13650963344553	1.56006407104734
0.64	-4.81706287744756	1.49030597915297
0.65	-4.51143845542575	1.40838843148824
0.66	-4.22150195739735	1.32016078733327
0.67	-3.94818798715223	1.23077834908613
0.68	-3.69173790761958	1.14366506007693
0.69	-3.45204640271547	1.06002289529793
0.7	-3.22901208486095	0.9789726881384
0.71	-3.0227811618313	0.898371977993966
0.72	-2.83379827669208	0.816023980340275
0.73	-2.66263006684683	0.730901413774248
0.74	-2.50959269709168	0.644010505433052
0.75	-2.37427862271644	0.558727537992377
0.76	-2.25512359029269	0.480552350208221
0.77	-2.14916793859318	0.416385108699673
0.78	-2.05213617360696	0.373242174785542
0.79	-1.95888138312488	0.355878986512017
0.8	-1.8641227417897	0.363692103256562
0.81	-1.76326900678718	0.389884034299347
0.82	-1.65301597427169	0.424573989367777
0.83	-1.53139940140796	0.459158551193504
0.84	-1.3971427316401	0.489866624065253
0.85	-1.24847772430284	0.519964590701159
0.86	-1.08204564604056	0.559113270562874
0.87	-0.89278086525923	0.617491399393014
0.88	-0.675529930256734	0.695642554128467
0.89	-0.428354006464918	0.777550514770344
0.9	-0.156137711143079	0.833813167789454
0.91	0.128051096137955	0.834342082101705
0.92	0.406363678547202	0.765627583736397
0.93	0.664639118599612	0.644846121758682
0.94	0.901913584566888	0.522460313767656
0.95	1.13258214701478	0.462575847474648
0.96	1.37341149369957	0.473173241386689
0.97	1.61913214566191	0.460550310797176
0.98	1.83006569708328	0.332568573384055
0.99	1.95865146959491	0.127979593782077

Figure 1

PNG link

Postscript link

PDF link

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 <- '0.01'
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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code