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  1. LICENSE +674 -0
  2. auxiliar.R +86 -0
  3. daticos.txt +11 -0
  4. funciones.R +217 -0
  5. include.html +0 -0
  6. include.md +28 -0
  7. server.R +172 -0
  8. ui.R +117 -0
  9. unequal_var_data99.txt +251 -0
LICENSE ADDED
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+ rights granted or affirmed under this License. For example, you may
465
+ not impose a license fee, royalty, or other charge for exercise of
466
+ rights granted under this License, and you may not initiate litigation
467
+ (including a cross-claim or counterclaim in a lawsuit) alleging that
468
+ any patent claim is infringed by making, using, selling, offering for
469
+ sale, or importing the Program or any portion of it.
470
+
471
+ 11. Patents.
472
+
473
+ A "contributor" is a copyright holder who authorizes use under this
474
+ License of the Program or a work on which the Program is based. The
475
+ work thus licensed is called the contributor's "contributor version".
476
+
477
+ A contributor's "essential patent claims" are all patent claims
478
+ owned or controlled by the contributor, whether already acquired or
479
+ hereafter acquired, that would be infringed by some manner, permitted
480
+ by this License, of making, using, or selling its contributor version,
481
+ but do not include claims that would be infringed only as a
482
+ consequence of further modification of the contributor version. For
483
+ purposes of this definition, "control" includes the right to grant
484
+ patent sublicenses in a manner consistent with the requirements of
485
+ this License.
486
+
487
+ Each contributor grants you a non-exclusive, worldwide, royalty-free
488
+ patent license under the contributor's essential patent claims, to
489
+ make, use, sell, offer for sale, import and otherwise run, modify and
490
+ propagate the contents of its contributor version.
491
+
492
+ In the following three paragraphs, a "patent license" is any express
493
+ agreement or commitment, however denominated, not to enforce a patent
494
+ (such as an express permission to practice a patent or covenant not to
495
+ sue for patent infringement). To "grant" such a patent license to a
496
+ party means to make such an agreement or commitment not to enforce a
497
+ patent against the party.
498
+
499
+ If you convey a covered work, knowingly relying on a patent license,
500
+ and the Corresponding Source of the work is not available for anyone
501
+ to copy, free of charge and under the terms of this License, through a
502
+ publicly available network server or other readily accessible means,
503
+ then you must either (1) cause the Corresponding Source to be so
504
+ available, or (2) arrange to deprive yourself of the benefit of the
505
+ patent license for this particular work, or (3) arrange, in a manner
506
+ consistent with the requirements of this License, to extend the patent
507
+ license to downstream recipients. "Knowingly relying" means you have
508
+ actual knowledge that, but for the patent license, your conveying the
509
+ covered work in a country, or your recipient's use of the covered work
510
+ in a country, would infringe one or more identifiable patents in that
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+ country that you have reason to believe are valid.
512
+
513
+ If, pursuant to or in connection with a single transaction or
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+ arrangement, you convey, or propagate by procuring conveyance of, a
515
+ covered work, and grant a patent license to some of the parties
516
+ receiving the covered work authorizing them to use, propagate, modify
517
+ or convey a specific copy of the covered work, then the patent license
518
+ you grant is automatically extended to all recipients of the covered
519
+ work and works based on it.
520
+
521
+ A patent license is "discriminatory" if it does not include within
522
+ the scope of its coverage, prohibits the exercise of, or is
523
+ conditioned on the non-exercise of one or more of the rights that are
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+ specifically granted under this License. You may not convey a covered
525
+ work if you are a party to an arrangement with a third party that is
526
+ in the business of distributing software, under which you make payment
527
+ to the third party based on the extent of your activity of conveying
528
+ the work, and under which the third party grants, to any of the
529
+ parties who would receive the covered work from you, a discriminatory
530
+ patent license (a) in connection with copies of the covered work
531
+ conveyed by you (or copies made from those copies), or (b) primarily
532
+ for and in connection with specific products or compilations that
533
+ contain the covered work, unless you entered into that arrangement,
534
+ or that patent license was granted, prior to 28 March 2007.
535
+
536
+ Nothing in this License shall be construed as excluding or limiting
537
+ any implied license or other defenses to infringement that may
538
+ otherwise be available to you under applicable patent law.
539
+
540
+ 12. No Surrender of Others' Freedom.
541
+
542
+ If conditions are imposed on you (whether by court order, agreement or
543
+ otherwise) that contradict the conditions of this License, they do not
544
+ excuse you from the conditions of this License. If you cannot convey a
545
+ covered work so as to satisfy simultaneously your obligations under this
546
+ License and any other pertinent obligations, then as a consequence you may
547
+ not convey it at all. For example, if you agree to terms that obligate you
548
+ to collect a royalty for further conveying from those to whom you convey
549
+ the Program, the only way you could satisfy both those terms and this
550
+ License would be to refrain entirely from conveying the Program.
551
+
552
+ 13. Use with the GNU Affero General Public License.
553
+
554
+ Notwithstanding any other provision of this License, you have
555
+ permission to link or combine any covered work with a work licensed
556
+ under version 3 of the GNU Affero General Public License into a single
557
+ combined work, and to convey the resulting work. The terms of this
558
+ License will continue to apply to the part which is the covered work,
559
+ but the special requirements of the GNU Affero General Public License,
560
+ section 13, concerning interaction through a network will apply to the
561
+ combination as such.
562
+
563
+ 14. Revised Versions of this License.
564
+
565
+ The Free Software Foundation may publish revised and/or new versions of
566
+ the GNU General Public License from time to time. Such new versions will
567
+ be similar in spirit to the present version, but may differ in detail to
568
+ address new problems or concerns.
569
+
570
+ Each version is given a distinguishing version number. If the
571
+ Program specifies that a certain numbered version of the GNU General
572
+ Public License "or any later version" applies to it, you have the
573
+ option of following the terms and conditions either of that numbered
574
+ version or of any later version published by the Free Software
575
+ Foundation. If the Program does not specify a version number of the
576
+ GNU General Public License, you may choose any version ever published
577
+ by the Free Software Foundation.
578
+
579
+ If the Program specifies that a proxy can decide which future
580
+ versions of the GNU General Public License can be used, that proxy's
581
+ public statement of acceptance of a version permanently authorizes you
582
+ to choose that version for the Program.
583
+
584
+ Later license versions may give you additional or different
585
+ permissions. However, no additional obligations are imposed on any
586
+ author or copyright holder as a result of your choosing to follow a
587
+ later version.
588
+
589
+ 15. Disclaimer of Warranty.
590
+
591
+ THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
592
+ APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
593
+ HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
594
+ OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
595
+ THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
596
+ PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
597
+ IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
598
+ ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
599
+
600
+ 16. Limitation of Liability.
601
+
602
+ IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
603
+ WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
604
+ THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
605
+ GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
606
+ USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
607
+ DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
608
+ PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
609
+ EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
610
+ SUCH DAMAGES.
611
+
612
+ 17. Interpretation of Sections 15 and 16.
613
+
614
+ If the disclaimer of warranty and limitation of liability provided
615
+ above cannot be given local legal effect according to their terms,
616
+ reviewing courts shall apply local law that most closely approximates
617
+ an absolute waiver of all civil liability in connection with the
618
+ Program, unless a warranty or assumption of liability accompanies a
619
+ copy of the Program in return for a fee.
620
+
621
+ END OF TERMS AND CONDITIONS
622
+
623
+ How to Apply These Terms to Your New Programs
624
+
625
+ If you develop a new program, and you want it to be of the greatest
626
+ possible use to the public, the best way to achieve this is to make it
627
+ free software which everyone can redistribute and change under these terms.
628
+
629
+ To do so, attach the following notices to the program. It is safest
630
+ to attach them to the start of each source file to most effectively
631
+ state the exclusion of warranty; and each file should have at least
632
+ the "copyright" line and a pointer to where the full notice is found.
633
+
634
+ {one line to give the program's name and a brief idea of what it does.}
635
+ Copyright (C) {year} {name of author}
636
+
637
+ This program is free software: you can redistribute it and/or modify
638
+ it under the terms of the GNU General Public License as published by
639
+ the Free Software Foundation, either version 3 of the License, or
640
+ (at your option) any later version.
641
+
642
+ This program is distributed in the hope that it will be useful,
643
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
644
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
645
+ GNU General Public License for more details.
646
+
647
+ You should have received a copy of the GNU General Public License
648
+ along with this program. If not, see <http://www.gnu.org/licenses/>.
649
+
650
+ Also add information on how to contact you by electronic and paper mail.
651
+
652
+ If the program does terminal interaction, make it output a short
653
+ notice like this when it starts in an interactive mode:
654
+
655
+ {project} Copyright (C) {year} {fullname}
656
+ This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
657
+ This is free software, and you are welcome to redistribute it
658
+ under certain conditions; type `show c' for details.
659
+
660
+ The hypothetical commands `show w' and `show c' should show the appropriate
661
+ parts of the General Public License. Of course, your program's commands
662
+ might be different; for a GUI interface, you would use an "about box".
663
+
664
+ You should also get your employer (if you work as a programmer) or school,
665
+ if any, to sign a "copyright disclaimer" for the program, if necessary.
666
+ For more information on this, and how to apply and follow the GNU GPL, see
667
+ <http://www.gnu.org/licenses/>.
668
+
669
+ The GNU General Public License does not permit incorporating your program
670
+ into proprietary programs. If your program is a subroutine library, you
671
+ may consider it more useful to permit linking proprietary applications with
672
+ the library. If this is what you want to do, use the GNU Lesser General
673
+ Public License instead of this License. But first, please read
674
+ <http://www.gnu.org/philosophy/why-not-lgpl.html>.
auxiliar.R ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # En este archivo estan los datos que usa la app por defecto
2
+
3
+ datos <- structure(list(Weight = c(50.5503, 61.25258, 56.24894, 65.65679,
4
+ 62.83388, 73.24405, 58.51261, 60.9063, 56.73146, 67.22003, 60.3634,
5
+ 75.02256, 62.80754, 60.5175, 78.42197, 73.45075, 64.05179, 65.38776,
6
+ 76.63673, 55.08314, 80.88494, 88.58204, 71.54954, 48.32583, 40.44927,
7
+ 74.15086, 84.90795, 58.40049, 60.76984, 70.56893, 75.76796, 71.19564,
8
+ 51.64917, 62.73287, 56.2491, 73.9991, 79.95774, 55.57182, 76.37397,
9
+ 66.56973, 65.86066, 71.20084, 54.67018, 70.4005, 69.4797, 66.60614,
10
+ 75.68068, 56.37009, 72.16496, 67.85384, 71.6978, 70.04701, 70.3357,
11
+ 54.63944, 53.3318, 42.86249, 40.68829, 55.59472, 53.09797, 75.49655,
12
+ 43.54653, 51.60253, 45.47439, 71.48804, 71.06496, 65.36183, 57.63302,
13
+ 71.52314, 60.2691, 76.1195, 43.15393, 74.32763, 73.74856, 64.92062,
14
+ 76.22805, 64.14468, 46.66684, 57.44771, 49.5207, 49.02281, 75.89785,
15
+ 66.45265, 64.021, 74.89705, 106.29634, 62.43153, 85.64085, 75.20969,
16
+ 78.75479, 71.47283, 72.24819, 72.96063, 81.44395, 59.13345, 56.81112,
17
+ 63.75622, 49.76463, 75.51193, 66.75562, 44.02623, 76.37441, 63.37802,
18
+ 69.7395, 70.36453, 68.46488, 76.44103, 69.25948, 61.82844, 76.20195,
19
+ 71.00959, 64.29619, 77.64101, 73.84479, 61.46269, 67.22959, 78.4518,
20
+ 71.52198, 71.12362, 70.71162, 66.09589, 69.55674, 67.42492, 61.32901,
21
+ 84.71004, 59.35111, 71.81532, 78.88253, 80.55406, 72.09338, 60.84449,
22
+ 69.26214, 70.95307, 73.94863, 70.8474, 70.04736, 77.00465, 64.2028,
23
+ 70.5274, 72.2358, 70.30635, 73.85537, 63.46842, 71.55005, 76.91536,
24
+ 67.95931, 67.46876, 72.85655, 68.19556, 75.64152, 61.33369, 66.13137,
25
+ 75.53459, 74.72881, 77.7697, 72.62453, 61.77881, 72.81865, 83.61184,
26
+ 65.61744, 71.70281, 70.3708, 64.10026, 65.19349, 69.15764, 70.83526,
27
+ 70.02046, 71.0855, 71.94166, 73.76781, 66.20942, 72.23653, 75.84131,
28
+ 67.7486, 69.04712, 62.66672, 68.00322, 71.35661, 67.92959, 63.38161,
29
+ 68.01821, 75.97187, 61.44667, 70.94835, 74.35324, 64.30971, 75.68054,
30
+ 66.42512, 76.27227, 61.55411, 66.45667, 78.82515, 66.11034, 68.67467,
31
+ 75.94628, 74.39378, 72.7763, 67.22345, 72.16216, 77.03907, 63.57204,
32
+ 74.58805, 78.82659, 74.29897, 69.4074, 77.2088, 72.57719, 72.86812,
33
+ 72.11492, 79.84081, 74.09459, 74.45922, 79.49065, 72.83807, 69.96743,
34
+ 63.05169, 68.71237, 72.00973, 71.96866, 73.13164, 68.70975, 74.04752,
35
+ 62.79878, 75.78519, 71.50944, 78.1028, 71.48194, 68.81004, 75.34631,
36
+ 70.80994, 61.97276, 64.22399, 72.6092, 71.30278, 73.54538, 72.33739,
37
+ 63.02031, 72.74572, 70.31417, 65.31908, 66.99437, 63.19804, 66.66398,
38
+ 78.33904, 74.0347, 66.44705, 83.54124, 79.72041, 69.41476, 63.05741,
39
+ 70.75567), Group = c("Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1",
40
+ "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1",
41
+ "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1",
42
+ "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1",
43
+ "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1",
44
+ "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1",
45
+ "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1",
46
+ "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1",
47
+ "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1",
48
+ "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1",
49
+ "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1",
50
+ "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1",
51
+ "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1",
52
+ "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1",
53
+ "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1",
54
+ "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1",
55
+ "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1", "Grupo 1",
56
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
57
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
58
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
59
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
60
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
61
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
62
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
63
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
64
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
65
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
66
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
67
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
68
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
69
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
70
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
71
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
72
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
73
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
74
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
75
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
76
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
77
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
78
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
79
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2",
80
+ "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2", "Grupo 2"
81
+ )), row.names = c(NA, -250L), spec = structure(list(cols = list(
82
+ Weight = structure(list(), class = c("collector_double",
83
+ "collector")), Group = structure(list(), class = c("collector_character",
84
+ "collector"))), default = structure(list(), class = c("collector_guess",
85
+ "collector")), delim = "\t"), class = "col_spec"), class = c("spec_tbl_df",
86
+ "tbl_df", "tbl", "data.frame"))
daticos.txt ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ peso barrio
2
+ 63.75622 1
3
+ 49.76463 1
4
+ 75.51193 1
5
+ 66.75562 1
6
+ 44.02623 1
7
+ 76.37441 2
8
+ 63.37802 2
9
+ 69.73950 2
10
+ 70.36453 2
11
+ 68.46488 2
funciones.R ADDED
@@ -0,0 +1,217 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+
3
+
4
+ #Funcion que crea un data frame con todos los elementos de
5
+ #la prueba de hip锟絫esis de la igualdad de dos varianzas poblacionales
6
+ ph_igual_varianzas <- function(var_cuant, var_cual, nivel_de_significancia,tipo_de_prueba){
7
+ grados_de_libertad_num <- tapply(var_cuant, var_cual, length)[1]-1
8
+ grados_de_libertad_den <- tapply(var_cuant, var_cual, length)[2]-1
9
+ nivel_de_significancia <- 1 - nivel_de_significancia
10
+
11
+ if(tipo_de_prueba == "two.sided"){
12
+
13
+ #Lado izquierdo y lado de recho donde inician las zonas de rechazo de la hipotesis nula
14
+ lado_der <- qf(1-(nivel_de_significancia/2), grados_de_libertad_num, grados_de_libertad_den)
15
+ lado_izq <- qf(nivel_de_significancia/2, grados_de_libertad_num, grados_de_libertad_den)
16
+
17
+ #Varianza muestral grupo 1
18
+ var1 <- tapply(var_cuant, var_cual, var)[1]
19
+
20
+ #Varianza muestral grupo 2
21
+ var2 <- tapply(var_cuant, var_cual, var)[2]
22
+
23
+ #Estadistico de prueba
24
+ ep <- var1/var2
25
+
26
+ #Valor P
27
+ ValorP <- if(pf(ep,grados_de_libertad_num,grados_de_libertad_den) <= pf(ep,grados_de_libertad_num,grados_de_libertad_den,lower.tail = FALSE)){
28
+ pf(ep,grados_de_libertad_num,grados_de_libertad_den)*2 #Valor P
29
+ }else{
30
+ pf(ep,grados_de_libertad_num,grados_de_libertad_den,lower.tail = FALSE)*2 #Valor P
31
+ }
32
+
33
+ #Data frame que se imprime en el aplicativo
34
+ bd <- data.frame(Resultados=c("Varianza muestral del numerador",
35
+ "Varianza muestral del denominador",
36
+ "Estadistico de prueba (EP)",
37
+ "Nivel de significancia",
38
+ "Grados de libertad del numerador",
39
+ "Grados de libertad del denominador",
40
+ "Valor P",
41
+ "Regiones criticas de rechazo de hipotesis nula",
42
+ "Conclusion con el valor P",
43
+ "Conclusion con la region de rechazo")
44
+ ,
45
+ Valores=c(as.character(var1),
46
+ as.character(var2),
47
+ as.character(round(ep,8)),
48
+ as.character(nivel_de_significancia),
49
+ as.character(grados_de_libertad_num),
50
+ as.character(grados_de_libertad_den),
51
+ as.character(ValorP),
52
+ paste("EP <= ",as.character(round(lado_izq,4)),
53
+ "o",
54
+ "EP >= ", as.character(round(lado_der,4)),
55
+ sep = " "),
56
+ if(ValorP <= nivel_de_significancia){
57
+ paste("El estadistico de prueba es igual a", round(ep,8),
58
+ "con un valor p igual a", ValorP,
59
+ "Como el valor p es inferior o igual a", nivel_de_significancia,
60
+ "(nivel de significancia), entonces se rechaza la hipotesis nula en favor de la hipotesis
61
+ alternativa.")
62
+ }else{
63
+ paste("El estadistico de prueba es igual a", round(ep,8),
64
+ "con un valor p igual a", ValorP,
65
+ "Como el valor es mayor a",nivel_de_significancia,
66
+ "(nivel de significancia), entonces se concluye que los datos no son suficientes para
67
+ rechazar la hipotesis nula.")
68
+ },
69
+ if(ep <= lado_izq |
70
+ ep >= lado_der){
71
+ paste("El estadistico de prueba es igual a", round(ep,8),
72
+ ". Como el estadistico de prueba se encuentra
73
+ dentro de la region critica de rechazo entonces se rechaza
74
+ la hipotesis nula en favor de la hipotesis alternativa.")
75
+ }else{
76
+ paste("El estadistico de prueba es igual a", round(ep,8),
77
+ ". Como el estadistico de prueba se encuentra fuera
78
+ de la region critica de rechazo entonces se concluye que
79
+ los datos no son suficientes para rechazar la hipotesis nula.")
80
+ }
81
+ ))
82
+ bd
83
+
84
+ }else{
85
+ if(tipo_de_prueba == "less"){
86
+
87
+ #Lado izquierdo donde inicia la zona de rechazo de la hipotesis nula
88
+ lado_izq <- qf(nivel_de_significancia, grados_de_libertad_num, grados_de_libertad_den)
89
+
90
+ #Varianza muestral grupo 1
91
+ var1 <- tapply(var_cuant, var_cual, var)[1]
92
+
93
+ #Varianza muestral grupo 2
94
+ var2 <- tapply(var_cuant, var_cual, var)[2]
95
+
96
+ #Estadistico de prueba
97
+ ep <- var1/var2
98
+
99
+ #Valor P
100
+ ValorP <- pf(ep, grados_de_libertad_num, grados_de_libertad_den)
101
+
102
+ #Data frame que se imprime en el aplicativo
103
+ bd <- data.frame(Resultados=c("Varianza muestral del numerador",
104
+ "Varianza muestral del denominador",
105
+ "Estadistico de prueba (EP)",
106
+ "Nivel de significancia",
107
+ "Grados libertad numerador",
108
+ "Grados libertad denominador",
109
+ "Valor P",
110
+ "Region critica de rechazo de hipotesis nula",
111
+ "Conclusion con el valor P",
112
+ "Conclusion con la region de rechazo")
113
+ ,
114
+ Valores=c(as.character(var1),
115
+ as.character(var2),
116
+ as.character(round(ep,8)),
117
+ as.character(nivel_de_significancia),
118
+ as.character(grados_de_libertad_num),
119
+ as.character(grados_de_libertad_den),
120
+ as.character(ValorP),
121
+ paste("EP <= ",as.character(round(lado_izq,4))),
122
+ if(ValorP <= nivel_de_significancia){
123
+ paste("El estadistico de prueba es igual a", round(ep,8),
124
+ "con un valor p igual a", ValorP,
125
+ "Como el valor p es inferior o igual a", nivel_de_significancia,
126
+ "(nivel de significancia), entonces se rechaza la hipotesis nula en favor de la hipotesis
127
+ alternativa.")
128
+ }else{
129
+ paste("El estadistico de prueba es igual a", round(ep,8),
130
+ "con un valor p igual a", ValorP,
131
+ "Como el valor es mayor a", nivel_de_significancia,
132
+ "(nivel de significancia), entonces se concluye que los datos no son suficientes para
133
+ rechazar la hipotesis nula.")
134
+ },
135
+ if(ep <= lado_izq){
136
+ paste("El estadistico de prueba es igual a", round(ep,8),
137
+ ". Como el estadistico de prueba se encuentra
138
+ dentro de la region critica de rechazo entonces se rechaza
139
+ la hipotesis nula en favor de la hipotesis alternativa.")
140
+ }else{
141
+ paste("El estadistico de prueba es igual a", round(ep,8),
142
+ ". Como el estadistico de prueba se encuentra fuera
143
+ de la region critica de rechazo entonces se concluye que
144
+ los datos no son suficientes para rechazar la hipotesis nula.")
145
+ }
146
+ ))
147
+ bd
148
+
149
+ }else{
150
+ if(tipo_de_prueba == "greater"){
151
+
152
+ #Lado derecho donde inician las zonas de rechazo de la hipotesis nula
153
+ lado_der <- qf(1-nivel_de_significancia, grados_de_libertad_num, grados_de_libertad_den)
154
+
155
+ #Varianza muestral del numerador
156
+ var1 <- tapply(var_cuant, var_cual, var)[1]
157
+
158
+ #Varianza muestral del denominador
159
+ var2 <- tapply(var_cuant, var_cual, var)[2]
160
+
161
+ #Estadistico de prueba
162
+ ep <- var1/var2
163
+
164
+ #Valor P
165
+ ValorP <- pf(ep,grados_de_libertad_num,grados_de_libertad_den,lower.tail = FALSE)
166
+
167
+ #Data frame que se imprime en el aplicativo
168
+ bd <- data.frame(Resultados=c("Varianza muestral del numerador",
169
+ "Varianza muestral del denominador",
170
+ "Estadistico de prueba (EP)",
171
+ "Nivel de significancia",
172
+ "Grados de libertad del numerador",
173
+ "Grados de libertad del denominador",
174
+ "Valor P",
175
+ "Region critica de rechazo de hipotesis nula",
176
+ "Conclusion con el valor P",
177
+ "Conclusion con la region de rechazo")
178
+ ,
179
+ Valores=c(as.character(var1),
180
+ as.character(var2),
181
+ as.character(round(ep,8)),
182
+ as.character(nivel_de_significancia),
183
+ as.character(grados_de_libertad_num),
184
+ as.character(grados_de_libertad_den),
185
+ as.character(ValorP),
186
+ paste("EP >= ", as.character(round(lado_der,4)),
187
+ sep = " "),
188
+ if(ValorP <= nivel_de_significancia){
189
+ paste("El estadistico de prueba es igual a", round(ep,8),
190
+ "con un valor p igual a", ValorP,
191
+ "Como el valor p es inferior o igual a", nivel_de_significancia,
192
+ "(nivel de significancia), entonces se rechaza la hipotesis nula en favor de la hipotesis
193
+ alternativa.")
194
+ }else{
195
+ paste("El estadistico de prueba es igual a", round(ep,8),
196
+ "con un valor p igual a", ValorP,
197
+ "Como el valor es mayor a",nivel_de_significancia,
198
+ "(nivel de significancia), entonces se concluye que los datos no son suficientes para
199
+ rechazar la hipotesis nula.")
200
+ },
201
+ if(ep >= lado_der){
202
+ paste("El estadistico de prueba es igual a", round(ep,8),
203
+ ". Como el estadistico de prueba se encuentra
204
+ dentro de la region critica de rechazo entonces se rechaza
205
+ la hipotesis nula en favor de la hipotesis alternativa.")
206
+ }else{
207
+ paste("El estadistico de prueba es igual a", round(ep,8),
208
+ ". Como el estadistico de prueba se encuentra fuera
209
+ de la region critica de rechazo entonces se concluye que
210
+ los datos no son suficientes para rechazar la hipotesis nula.")
211
+ }
212
+ ))
213
+ bd
214
+ }
215
+ }
216
+ }
217
+ }
include.html ADDED
The diff for this file is too large to render. See raw diff
 
include.md ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Prueba de hip贸tesis para el cociente de varianzas
2
+
3
+ Suponga que se tienen dos muestras aleatorias que provienen de poblaciones normales as铆:
4
+
5
+ - $n_1$ observaciones $X_{11}, X_{12}, \ldots, X_{1,n1}$ de una poblaci贸n I con varianza $\sigma^2_1$,
6
+ - $n_2$ observaciones $X_{21}, X_{22}, \ldots, X_{2,n2}$ de una poblaci贸n II con varianza $\sigma^2_2$,
7
+ - ambas muestras son independientes entre s铆.
8
+
9
+ En este problema se desea estudiar la hip贸tesis nula $H_0: \sigma_1^2 / \sigma_2^2 = 1$ de igualdad de varianzas y se sospecha que el cociente de varianzas podr铆a estar en alguna de las siguientes situaciones:
10
+
11
+ - $H_a: \sigma_1^2 / \sigma_2^2 < 1$
12
+ - $H_a: \sigma_1^2 / \sigma_2^2 \neq 1$
13
+ - $H_a: \sigma_1^2 / \sigma_2^2 > 1$
14
+
15
+ El estad铆stico para realizar la prueba es:
16
+ $$
17
+ F_0=\frac{S_1^2}{S_1^2},
18
+ $$
19
+ donde $S_1^2$ y $S_2^2$ son las varianzas de las muestras I y II respectivamente. El estad铆stico $F_0$, bajo la suposici贸n de que $H_0$ es verdadera, tiene distribuci贸n $f$ con $n_1-1$ grados de libertad en el numerador y $n_2-1$ grados de libertad en el denominador.
20
+
21
+ Si el valor calculado para el estad铆stico dado en la ecuaci贸n anterior se denota por $f_0$, entonces el valor-$P$ de la prueba se calcula de acuerdo a la hip贸tesis alterna $H_a$ as铆:
22
+
23
+ - Si $H_a: \sigma_1^2 / \sigma_2^2 < \sigma^2_0$ entonces valor-$P$=$P(f_{n_1-1,n_2-1} < f_0)$.
24
+ - Si $H_a: \sigma_1^2 / \sigma_2^2 \neq \sigma^2_0$, valor-$P$=$2 \times \min \left\{ P(f_{n_1-1,n_2-1} < f_0), P(f_{n_1-1,n_2-1} > f_0) \right\}$.
25
+ - Si $H_a: \sigma_1^2 / \sigma_2^2 > \sigma^2_0$ entonces valor-$P$=$P(f_{n_1-1,n_2-1} > f_0)$.
26
+
27
+
28
+ En esta prueba, al no rechazar la hip贸tesis nula $H_0$, se concluye que $\sigma_1^2 / \sigma_2^2 = 1$ lo que implica en t茅rminos pr谩cticos que $\sigma_1^2 = \sigma_2^2$, es decir que las varianzas poblacionales se pueden considerar iguales.
server.R ADDED
@@ -0,0 +1,172 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ library(shiny)
2
+
3
+ source("auxiliar.R")
4
+
5
+ shinyServer(function(input,output,session){
6
+
7
+ observe({
8
+ inFile <- input$file1
9
+ if(is.null(inFile))
10
+ dt <- datos
11
+ else dt <- read.csv(inFile$datapath, header=input$header, sep=input$sep)
12
+
13
+ updateSelectInput(session, "variable1",
14
+ choices = names(dt),
15
+ selected = "Weight")
16
+
17
+ updateSelectInput(session, "variable2",
18
+ choices = names(dt),
19
+ selected = "Group")
20
+
21
+ })
22
+
23
+ output$summary <- renderTable({
24
+ inFile <- input$file1
25
+ if(is.null(inFile))
26
+ dt <- datos
27
+ else dt <- read.csv(inFile$datapath, header=input$header, sep=input$sep)
28
+ dt <- na.omit(dt) # Para eliminar obs con NA
29
+ dt
30
+ })
31
+
32
+ output$appPlot <- renderPlot({
33
+ inFile <- input$file1
34
+ if(is.null(inFile))
35
+ dt <- datos
36
+ else dt <- read.csv(inFile$datapath, header=input$header, sep=input$sep)
37
+ # Para eliminar obs con NA
38
+ dt <- na.omit(dt)
39
+ # Para obtener x y grupo
40
+ x <- dt[, input$variable1]
41
+ group <- dt[, input$variable2]
42
+ group <- as.factor(group)
43
+
44
+ if (nlevels(group) != 2) {
45
+ plot(1, type = "n", xlab = "", ylab = "", axes = FALSE)
46
+ mensaje <- "La variable cualitativa \n que eligi贸 debe tener s贸lo \n 2 niveles."
47
+ text(x=1, y=1, mensaje, cex=2, col = "blue", pos=3)
48
+ }
49
+ else {
50
+ par(mfrow=c(1, 2), bg="gray98")
51
+
52
+ # Para dibujar las densidades
53
+ xx <- split(x, group)
54
+ den <- lapply(xx, density)
55
+ plot(den[[1]], lwd=4, col="deepskyblue3",
56
+ main="Densidad", las=1,
57
+ xlab=as.character(input$variable1),
58
+ ylab="Densidad",
59
+ xlim=range(range(den[[1]]$x), range(den[[2]]$x)),
60
+ ylim=c(0, max(c(den[[1]]$y, den[[2]]$y))))
61
+ lines(den[[2]], lwd=4, col="firebrick3")
62
+
63
+ # Leyenda para distinguir las densidades
64
+ legend("topright", bty="n",
65
+ lwd=4,
66
+ col=c("deepskyblue3", "firebrick3"),
67
+ legend=unique(group))
68
+
69
+ # Para dibujar los qqplot
70
+ qq1 <- qqnorm(xx[[1]], plot.it=FALSE)
71
+ qq2 <- qqnorm(xx[[2]], plot.it=FALSE)
72
+
73
+ plot(qq1, las=1, main="QQplot",
74
+ pch=19, col="deepskyblue3",
75
+ xlim=range(c(qq1$x, qq2$x)),
76
+ ylim=range(c(qq1$y, qq2$y)),
77
+ xlab="Cuantiles te贸ricos N(0, 1)",
78
+ ylab=as.character(input$variable1))
79
+ points(qq2, pch=19, col="firebrick3")
80
+
81
+ # Para construir los qqplot
82
+ qqline(xx[[1]], col="deepskyblue3")
83
+ qqline(xx[[2]], col="firebrick3")
84
+
85
+ # Para incluir el valor P de Shapiro
86
+ shapi <- lapply(xx, shapiro.test)
87
+ leyenda <- c(paste("Valor P=", round(shapi[[1]]$p.value, 2)),
88
+ paste("Valor P=", round(shapi[[2]]$p.value, 2)))
89
+ legend("topleft", bty="n",
90
+ text.col=c("deepskyblue3", "firebrick3"),
91
+ legend=leyenda)
92
+ }
93
+
94
+ })
95
+
96
+ output$statistic <- renderTable({
97
+ inFile <- input$file1
98
+ if(is.null(inFile))
99
+ dt <- datos
100
+ else dt <- read.csv(inFile$datapath, header=input$header, sep=input$sep)
101
+ # Para eliminar obs con NA
102
+ dt <- na.omit(dt)
103
+ # Para obtener x y grupo
104
+ x <- dt[, input$variable1]
105
+ group <- dt[, input$variable2]
106
+ group <- as.factor(group)
107
+
108
+ xx <- split(x, group) # Lista con variable interes
109
+ resumen <- function(x) c(mean(x), var(x), length(x))
110
+ res <- sapply(xx, resumen)
111
+ rownames(res) <- c("Media", "Varianza", "N煤mero de observaciones")
112
+ t(res)
113
+ }, rownames = TRUE, align="c", bordered = TRUE)
114
+
115
+ output$resul1 <- renderText({
116
+ inFile <- input$file1
117
+ if(is.null(inFile))
118
+ dt <- datos
119
+ else dt <- read.csv(inFile$datapath, header=input$header, sep=input$sep)
120
+ # Para eliminar obs con NA
121
+ dt <- na.omit(dt)
122
+ # Para obtener x y grupo
123
+ x <- dt[, input$variable1]
124
+ group <- dt[, input$variable2]
125
+ group <- as.factor(group)
126
+
127
+ if (nlevels(group) != 2) {
128
+ paste0("La variable cualitativa \n que eligi贸 debe tener s贸lo \n 2 niveles.")
129
+ }
130
+ else {
131
+ xx <- split(x, group)
132
+ ph <- var.test(x=xx[[1]], y=xx[[2]],
133
+ alternative=input$h0,
134
+ ratio=1,
135
+ conf.level=input$alfa)
136
+ paste0('El estad铆stico de prueba es f0=', round(ph$statistic, 4),
137
+ ' con un valor-P de ', round(ph$p.value, 2), '.')
138
+ }
139
+ })
140
+
141
+ output$resul2 <- renderText({
142
+ inFile <- input$file1
143
+ if(is.null(inFile))
144
+ dt <- datos
145
+ else dt <- read.csv(inFile$datapath, header=input$header, sep=input$sep)
146
+
147
+ dt <- na.omit(dt) # Para eliminar obs con NA
148
+
149
+ x <- dt[, input$variable1]
150
+ group <- dt[, input$variable2]
151
+ group <- as.factor(group)
152
+
153
+ if (nlevels(group) != 2) {
154
+ paste0("La variable cualitativa \n que eligi贸 debe tener s贸lo \n 2 niveles.")
155
+ }
156
+ else {
157
+ xx <- split(x, group)
158
+ ph <- var.test(x=xx[[1]], y=xx[[2]],
159
+ alternative=input$h0,
160
+ ratio=1,
161
+ conf.level=input$alfa)
162
+ intervalo <- paste("(", round(ph$conf.int[1], digits=4),
163
+ ", ",
164
+ round(ph$conf.int[2], digits=4),
165
+ ").", sep='')
166
+ paste0('El intervalo de confianza del ', 100*input$alfa,
167
+ '% para el cociente de varianzas poblacionales es ',
168
+ intervalo)
169
+ }
170
+ })
171
+
172
+ })
ui.R ADDED
@@ -0,0 +1,117 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ library(shiny)
2
+ library(markdown)
3
+
4
+ shinyUI(pageWithSidebar(
5
+ headerPanel(title=HTML("Prueba de hip贸tesis para el cociente de
6
+ varianzas &sigma;<sup>2</sup><sub>1</sub> /
7
+ &sigma;<sup>2</sup><sub>2</sub>"),
8
+ windowTitle="PH coc varianzas"),
9
+
10
+ sidebarPanel(
11
+ h5("Esta aplicaci贸n sirve para realizar prueba de hipotesis
12
+ para el cociente de varianzas de variables cuantitativas
13
+ con distribuci贸n normal."),
14
+
15
+ h6("La aplicaci贸n usa una base de datos de ejemplo pero el usuario
16
+ puede cargar su propia base de datos."),
17
+
18
+ fileInput(inputId="file1",
19
+ label="Use el bot贸n siguiente para cargar su base de datos.",
20
+ accept = c(
21
+ "text/csv",
22
+ "text/comma-separated-values",
23
+ "text/tab-separated-values",
24
+ "text/plain",
25
+ ".csv",
26
+ ".tsv"
27
+ )),
28
+
29
+ checkboxInput(inputId="header",
30
+ label="驴Tiene encabezado la base de datos?",
31
+ value=TRUE),
32
+
33
+ selectInput(inputId="sep",
34
+ label = "驴Cu谩l es la separaci贸n de los datos?",
35
+ choices = list(Tab="\t", Comma=",",
36
+ Semicolon=";", "Space"=" "),
37
+ selected = ";"),
38
+
39
+ selectInput(inputId="variable1",
40
+ label=p("Elija la variable",
41
+ span("cuantitativa", style = "color:red"),
42
+ "para realizar la prueba de hip贸tesis."),
43
+ choices=""),
44
+
45
+ selectInput(inputId="variable2",
46
+ label=p("Elija la variable",
47
+ span("cualitativa", style = "color:blue"),
48
+ "de agrupacion, DEBE tener 2 niveles y ser un factor."),
49
+ choices=""),
50
+
51
+ selectInput(inputId="h0",
52
+ label=HTML("La hip贸tesis nula de la prueba es Ho:
53
+ &sigma;<sup>2</sup><sub>1</sub> /
54
+ &sigma;<sup>2</sup><sub>2</sub> = 1,
55
+ elija el tipo de hipotesis alterna
56
+ < , &ne; o >"),
57
+ choices=list("Menor" = "less",
58
+ "Diferente" = "two.sided",
59
+ "Mayor" = "greater"),
60
+ selected = "two.sided"),
61
+
62
+ sliderInput(inputId="alfa",
63
+ label=HTML("Opcional: elija un nivel de confianza para
64
+ construir el intervalo de confianza para
65
+ el cociente
66
+ &sigma;<sup>2</sup><sub>1</sub> /
67
+ &sigma;<sup>2</sup><sub>2</sub>"),
68
+ min=0.90, max=0.99,
69
+ value=0.95, step=0.01),
70
+
71
+ img(src="https://raw.githubusercontent.com/fhernanb/fhernanb.github.io/refs/heads/main/my_docs/logo_unal_shiny.png",
72
+ height = 60, width = 120),
73
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