Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_Two Factor ANOVA.wasp
Title produced by softwareTwo-Way ANOVA
Date of computationFri, 24 Apr 2020 23:06:26 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2020/Apr/24/t1587762618jbmvr7u6cqn6van.htm/, Retrieved Wed, 21 Apr 2021 09:55:49 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 21 Apr 2021 09:55:49 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0
Dataseries X:
3	'CA'	´´Portales'
3	'CA'	´Portales'
0	'CA'	´Portales'
2	'CA'	´Portales'
0	'CA'	´Portales'
0	'CA'	´Portales'
0	'CA'	´Portales'
3	'CA'	´Portales'
3	'CA'	´Portales'
0	'CA'	´Portales'
0	'CA'	´Portales'
0	'CA'	´Portales'
0	'CA'	´Portales'
3	'CA'	´Portales'
2	'CA'	´Portales'
0	'CA'	´Portales'
2	'CA'	´Portales'
4	'CA'	´Portales'
0	'CA'	´Portales'
0	'CA'	´Portales'
0	'CA'	´Portales'
0	'CA'	´Portales'
3	'CA'	´Portales'
0	'CA'	´Portales'
0	'CA'	´Portales'
0	'CA'	´Portales'
0	'CA'	´Portales'
0	'CA'	´Portales'
0	'CA'	´Portales'
0	'CA'	´Portales'
3	'CA'	´Portales'
0	'CA'	´Portales'
3	'CA'	´Portales'
0	'CA'	´Portales'
0	'CA'	´Portales'
3	'CA'	´Portales'
0	'CO'	'Santorini'
3	'CO'	'Santorini'
3	'CO'	'Santorini'
0	'CO'	'Santorini'
0	'CO'	'Santorini'
0	'CO'	'Santorini'
0	'CO'	'Santorini'
4	'CO'	'Santorini'
0	'CO'	'Santorini'
4	'CO'	'Santorini'
0	'CO'	'Santorini'
4	'CO'	'Santorini'
0	'CO'	'Santorini'
0	'CO'	'Santorini'
4	'CO'	'Santorini'
0	'CO'	'Santorini'
3	'CO'	'Santorini'
0	'CO'	'Santorini'
4	'CO'	'Santorini'
0	'CO'	'Santorini'
0	'CO'	'Santorini'
0	'CO'	'Santorini'
0	'CO'	'Santorini'
0	'CO'	'Santorini'
0	'CO'	'Santorini'
4	'CO'	'Santorini'
0	'CO'	'Santorini'
0	'CO'	'Santorini'
4	'CO'	'Santorini'
0	'CO'	'Santorini'
0	'CO'	'Santorini'
0	'CO'	'Santorini'
3	'CO'	'Santorini'
4	'CO'	'Santorini'
5	'CO'	'Santorini'
5	'CA'	'Santana' 
2	'CA'	'Santana' 
0	'CA'	'Santana' 
2	'CA'	'Santana' 
3	'CA'	'Santana' 
0	'CA'	'Santana' 
0	'CA'	'Santana' 
3	'CA'	'Santana' 
2	'CA'	'Santana' 
2	'CA'	'Santana' 
0	'CA'	'Santana' 
2	'CA'	'Santana' 
3	'CA'	'Santana' 
0	'CA'	'Santana' 
0	'CA'	'Santana' 
2	'CA'	'Santana' 
2	'CA'	'Santana' 
2	'CA'	'Santana' 
0	'CA'	'Santana' 
4	'CA'	'Santana' 
5	'CA'	'Santana' 
0	'CA'	'Santana' 
0	'CA'	'Santana' 
0	'CA'	'Santana' 
0	'CO'	'LaElba'
5	'CO'	'LaElba'
5	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
3	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CO'	'LaElba'
0	'CA'	'Colina'
0	'CA'	'Colina'
0	'CA'	'Colina'
2	'CA'	'Colina'
0	'CA'	'Colina'
3	'CA'	'Colina'
0	'CA'	'Colina'
0	'CA'	'Colina'
0	'CA'	'Colina'
0	'CA'	'Colina'
0	'CA'	'Colina'
0	'CA'	'Colina'
0	'CA'	'Colina'
0	'CA'	'Colina'
0	'CA'	'Colina'
0	'CA'	'Colina'
0	'CA'	'Colina'
0	'CA'	'Colina'
0	'CA'	'Colina'
0	'CA'	'Colina'
0	'CA'	'Colina'
0	'CA'	'Colina'
0	'CA'	'Colina'
3	'CA'	'Colina'
2	'CO'	'Darien'
4	'CO'	'Darien'
4	'CO'	'Darien'
2	'CO'	'Darien'
0	'CO'	'Darien'
0	'CO'	'Darien'
0	'CO'	'Darien'
0	'CO'	'Darien'
2	'CO'	'Darien'
4	'CO'	'Darien'
0	'CO'	'Darien'
0	'CO'	'Darien'
0	'CO'	'Darien'
0	'CO'	'Darien'
3	'CO'	'Darien'
0	'CO'	'Darien'
0	'CO'	'Darien'
0	'CO'	'Darien'
0	'CO'	'Darien'
0	'CO'	'Darien'
2	'CO'	'Darien'
0	'CO'	'Darien'
0	'CO'	'Darien'
4	'CO'	'Darien'
0	'CO'	'Darien'
0	'CO'	'Darien'
2	'CO'	'Darien'
0	'CO'	'Darien'
0	'CO'	'Darien'
0	'CO'	'Darien'
5	'CA'	´Primorosa'
5	'CA'	´Primorosa'
5	'CA'	´Primorosa'
5	'CA'	´Primorosa'
5	'CA'	´Primorosa'
5	'CA'	´Primorosa'
7	'CA'	´Primorosa'
5	'CA'	´Primorosa'
5	'CA'	´Primorosa'
6	'CA'	´Primorosa'
4	'CA'	´Primorosa'
5	'CA'	´Primorosa'
2	'CA'	´Primorosa'
5	'CA'	´Primorosa'
3	'CA'	´Primorosa'
3	'CA'	´Primorosa'
0	'CA'	´Primorosa'
0	'CA'	´Primorosa'
0	'CA'	´Primorosa'
5	'CA'	´Primorosa'
0	'CA'	´Primorosa'
0	'CA'	´Primorosa'
2	'CA'	´Primorosa'
0	'CA'	´Primorosa'
4	'CA'	´Primorosa'
0	'CA'	´Primorosa'
0	'CA'	´Primorosa'
0	'CA'	´Primorosa'
0	'CA'	´Primorosa'
3	'CA'	´Primorosa'
0	'CA'	´Primorosa'
0	'CA'	´Primorosa'
0	'CA'	´Primorosa'
0	'CA'	´Primorosa'
0	'CA'	´Primorosa'
0	'CA'	´Primorosa'
0	'CO'	'Colón'
0	'CO'	'Colón'
3	'CO'	'Colón'
0	'CO'	'Colón'
2	'CO'	'Colón'
0	'CO'	'Colón'
0	'CO'	'Colón'
0	'CO'	'Colón'
3	'CO'	'Colón'
0	'CO'	'Colón'
0	'CO'	'Colón'
2	'CO'	'Colón'
0	'CO'	'Colón'
0	'CO'	'Colón'
0	'CO'	'Colón'
0	'CO'	'Colón'
0	'CO'	'Colón'
0	'CO'	'Colón'
0	'CO'	'Colón'
0	'CO'	'Colón'
0	'CO'	'Colón'
0	'CO'	'Colón'
0	'CO'	'Colón'
0	'CO'	'Colón'
0	'CO'	'Colón'
3	'CO'	'Colón'
0	'CO'	'Colón'
0	'CO'	'Colón'
0	'CO'	'Colón'
6	'CO'	'Colón'
5	'CA'	´Paraiso'
5	'CA'	´Paraiso'
5	'CA'	´Paraiso'
5	'CA'	´Paraiso'
5	'CA'	´Paraiso'
5	'CA'	´Paraiso'
5	'CA'	´Paraiso'
4	'CA'	´Paraiso'
4	'CA'	´Paraiso'
4	'CA'	´Paraiso'
4	'CA'	´Paraiso'
3	'CA'	´Paraiso'
0	'CA'	´Paraiso'
0	'CA'	´Paraiso'
3	'CA'	´Paraiso'
0	'CA'	´Paraiso'
3	'CA'	´Paraiso'
3	'CA'	´Paraiso'
0	'CA'	´Paraiso'
4	'CA'	´Paraiso'
0	'CA'	´Paraiso'
0	'CA'	´Paraiso'
3	'CA'	´Paraiso'
0	'CA'	´Paraiso'
0	'CA'	´Paraiso'
3	'CA'	´Paraiso'
0	'CA'	´Paraiso'
3	'CA'	´VilRomana'
0	'CA'	´VilRomana'
5	'CA'	´VilRomana'
0	'CA'	´VilRomana'
3	'CA'	´VilRomana'
3	'CA'	´VilRomana'
4	'CA'	´VilRomana'
0	'CA'	´VilRomana'
3	'CA'	´VilRomana'
0	'CA'	´VilRomana'
0	'CA'	´VilRomana'
4	'CA'	´VilRomana'
0	'CA'	´VilRomana'
0	'CA'	´VilRomana'
0	'CA'	´VilRomana'
3	'CA'	´VilRomana'
3	'CA'	´VilRomana'
3	'CA'	´VilRomana'
3	'CA'	´VilRomana'
0	'CA'	´VilRomana'
0	'CA'	´VilRomana'
0	'CA'	´VilRomana'
0	'CA'	´VilRomana'
0	'CA'	´VilRomana'
0	'CA'	´VilRomana'
5	'CA'	´VilRomana'
0	'CA'	´VilRomana'
0	'CA'	´VilRomana'
0	'CA'	´VilRomana'
0	'CA'	´VilRomana'
0	'CA'	´VilRomana'
0	'CA'	´VilRomana'
0	'CA'	´VilRomana'
0	'CA'	'ElRecuerdo'
0	'CA'	'ElRecuerdo'
0	'CA'	'ElRecuerdo'
0	'CA'	'ElRecuerdo'
0	'CA'	'ElRecuerdo'
0	'CA'	'ElRecuerdo'
0	'CA'	'ElRecuerdo'
3	'CA'	'ElRecuerdo'
0	'CA'	'ElRecuerdo'
0	'CA'	'ElRecuerdo'
4	'CA'	'ElRecuerdo'
6	'CA'	'ElRecuerdo'
6	'CA'	'ElRecuerdo'
7	'CA'	'ElRecuerdo'
6	'CA'	'ElRecuerdo'
5	'CA'	'ElRecuerdo'
5	'CA'	'ElRecuerdo'
5	'CA'	'ElRecuerdo'
5	'CA'	'ElRecuerdo'
5	'CA'	'ElRecuerdo'
7	'CA'	'ElRecuerdo'
3	'CA'	'ElRecuerdo'
6	'CA'	'ElRecuerdo'
5	'CA'	'ElRecuerdo'
5	'CA'	'ElRecuerdo'
5	'CA'	'ElRecuerdo'
7	'CA'	'ElRecuerdo'
6	'CA'	'ElRecuerdo'
6	'CA'	'ElRecuerdo'
4	'CA'	'ElRecuerdo'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
2	'CO'	'Zelandia'
2	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
0	'CO'	'Zelandia'
5	'CA'	'SanLuis'
6	'CA'	'SanLuis'
4	'CA'	'SanLuis'
0	'CA'	'SanLuis'
0	'CA'	'SanLuis'
5	'CA'	'SanLuis'
3	'CA'	'SanLuis'
5	'CA'	'SanLuis'
4	'CA'	'SanLuis'
4	'CA'	'SanLuis'
4	'CA'	'SanLuis'
4	'CA'	'SanLuis'
5	'CA'	'SanLuis'
6	'CA'	'SanLuis'
4	'CA'	'SanLuis'
3	'CA'	'SanLuis'
4	'CA'	'SanLuis'
3	'CA'	'SanLuis'
0	'CA'	'SanLuis'
0	'CA'	'SanLuis'
0	'CA'	'SanLuis'
0	'CA'	'SanLuis'
0	'CA'	'SanLuis'
0	'CA'	'SanLuis'
0	'CA'	'SanLuis'
3	'CA'	'SanLuis'
0	'CA'	'SanLuis'
0	'CA'	'SanLuis'
5	'CA'	'SanLuis'
0	'CA'	'SanLuis'
0	'CO'	´PotGrande' 
0	'CO'	´PotGrande' 
3	'CO'	´PotGrande' 
3	'CO'	´PotGrande' 
0	'CO'	´PotGrande' 
0	'CO'	´PotGrande' 
0	'CO'	´PotGrande' 
0	'CO'	´PotGrande' 
3	'CO'	´PotGrande' 
0	'CO'	´PotGrande' 
0	'CO'	´PotGrande' 
0	'CO'	´PotGrande' 
0	'CO'	´PotGrande' 
0	'CO'	´PotGrande' 
0	'CO'	´PotGrande' 
0	'CO'	´PotGrande' 
3	'CO'	´PotGrande' 
0	'CO'	´PotGrande' 
0	'CO'	´PotGrande' 
0	'CO'	´PotGrande' 
0	'CO'	´PotGrande' 
0	'CO'	´PotGrande' 
0	'CO'	´PotGrande' 
0	'CO'	´PotGrande' 
0	'CO'	´PotGrande' 
0	'CO'	´PotGrande' 
0	'CO'	´PotGrande' 
4	'CO'	'SanJorge'
0	'CO'	'SanJorge'
0	'CO'	'SanJorge'
3	'CO'	'SanJorge'
0	'CO'	'SanJorge'
4	'CO'	'SanJorge'
3	'CO'	'SanJorge'
0	'CO'	'SanJorge'
0	'CO'	'SanJorge'
4	'CO'	'SanJorge'
4	'CO'	'SanJorge'
3	'CO'	'SanJorge'
0	'CO'	'SanJorge'
3	'CO'	'SanJorge'
3	'CO'	'SanJorge'
4	'CO'	'SanJorge'
0	'CO'	'SanJorge'
3	'CO'	'SanJorge'
0	'CO'	'SanJorge'
0	'CO'	'SanJorge'
0	'CO'	'SanJorge'
0	'CO'	'SanJorge'
0	'CO'	'SanJorge'
0	'CO'	'SanJorge'
0	'CO'	'SanJorge'
0	'CO'	'SanJorge'
0	'CO'	'SanJorge'
0	'CO'	'SanJorge'
0	'CO'	'SanJorge'
0	'CO'	'SanJorge'
0	'CO'	'SanJorge'
0	'CO'	'SanJorge'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
4	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
4	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
2	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
0	'CO'	'LaLibertad'
3	'CA'	'LasJuntas'
6	'CA'	'LasJuntas'
5	'CA'	'LasJuntas'
0	'CA'	'LasJuntas'
0	'CA'	'LasJuntas'
0	'CA'	'LasJuntas'
0	'CA'	'LasJuntas'
0	'CA'	'LasJuntas'
0	'CA'	'LasJuntas'
0	'CA'	'LasJuntas'
0	'CA'	'LasJuntas'
0	'CA'	'LasJuntas'
0	'CA'	'LasJuntas'
0	'CA'	'LasJuntas'
3	'CA'	'LasJuntas'
4	'CA'	'LasJuntas'
0	'CA'	'LasJuntas'
3	'CA'	'LasJuntas'
5	'CA'	'LasJuntas'
3	'CA'	'LasJuntas'
4	'CA'	'LasJuntas'
5	'CA'	'LasJuntas'
0	'CA'	'LasJuntas'
5	'CA'	'LasJuntas'
5	'CA'	'LasJuntas'
3	'CA'	'LasJuntas'
5	'CA'	'LasJuntas'
5	'CA'	'LasJuntas'
3	'CA'	'LasJuntas'
3	'CA'	'LasJuntas'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
3	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
3	'CO'	'Furachogua'
3	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Furachogua'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
3	'CO'	'Matula'
0	'CO'	'Matula'
3	'CO'	'Matula'
3	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
3	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
0	'CO'	'Matula'
3	'CO'	'Matula'
0	'CO'	'Matula'
4	'CA'	'Villarosa'
4	'CA'	'Villarosa'
5	'CA'	'Villarosa'
3	'CA'	'Villarosa'
4	'CA'	'Villarosa'
4	'CA'	'Villarosa'
5	'CA'	'Villarosa'
5	'CA'	'Villarosa'
4	'CA'	'Villarosa'
0	'CA'	'Villarosa'
4	'CA'	'Villarosa'
0	'CA'	'Villarosa'
0	'CA'	'Villarosa'
0	'CA'	'Villarosa'
0	'CA'	'Villarosa'
4	'CA'	'Villarosa'
0	'CA'	'Villarosa'
0	'CA'	'Villarosa'
0	'CA'	'Villarosa'
0	'CA'	'Villarosa'
0	'CA'	'Villarosa'
0	'CA'	'Villarosa'
0	'CA'	'Villarosa'
0	'CA'	'Villarosa'
0	'CA'	'Villarosa'
0	'CA'	'Villarosa'
4	'CA'	'Villarosa'




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center



Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = 3 ; par4 = TRUE ;
Parameters (R input):
par1 = 1 ; par2 = 2 ; par3 = 3 ; par4 = TRUE ;
R code (references can be found in the software module):
cat1 <- as.numeric(par1) #
cat2<- as.numeric(par2) #
cat3 <- as.numeric(par3)
intercept<-as.logical(par4)
x <- t(x)
x1<-as.numeric(x[,cat1])
f1<-as.character(x[,cat2])
f2 <- as.character(x[,cat3])
xdf<-data.frame(x1,f1, f2)
(V1<-dimnames(y)[[1]][cat1])
(V2<-dimnames(y)[[1]][cat2])
(V3 <-dimnames(y)[[1]][cat3])
names(xdf)<-c('Response', 'Treatment_A', 'Treatment_B')
if(intercept == FALSE) (lmxdf<-lm(Response ~ Treatment_A * Treatment_B- 1, data = xdf) ) else (lmxdf<-lm(Response ~ Treatment_A * Treatment_B, data = xdf) )
(aov.xdf<-aov(lmxdf) )
(anova.xdf<-anova(lmxdf) )
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'ANOVA Model', length(lmxdf$coefficients)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, lmxdf$call['formula'],length(lmxdf$coefficients)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'means',,TRUE)
for(i in 1:length(lmxdf$coefficients)){
a<-table.element(a, round(lmxdf$coefficients[i], digits=3),,FALSE)
}
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'ANOVA Statistics', 5+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ',,TRUE)
a<-table.element(a, 'Df',,FALSE)
a<-table.element(a, 'Sum Sq',,FALSE)
a<-table.element(a, 'Mean Sq',,FALSE)
a<-table.element(a, 'F value',,FALSE)
a<-table.element(a, 'Pr(>F)',,FALSE)
a<-table.row.end(a)
for(i in 1 : length(rownames(anova.xdf))-1){
a<-table.row.start(a)
a<-table.element(a,rownames(anova.xdf)[i] ,,TRUE)
a<-table.element(a, anova.xdf$Df[1],,FALSE)
a<-table.element(a, round(anova.xdf$'Sum Sq'[i], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Mean Sq'[i], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'F value'[i], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Pr(>F)'[i], digits=3),,FALSE)
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a, 'Residuals',,TRUE)
a<-table.element(a, anova.xdf$'Df'[i+1],,FALSE)
a<-table.element(a, round(anova.xdf$'Sum Sq'[i+1], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Mean Sq'[i+1], digits=3),,FALSE)
a<-table.element(a, ' ',,FALSE)
a<-table.element(a, ' ',,FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
bitmap(file='anovaplot.png')
boxplot(Response ~ Treatment_A + Treatment_B, data=xdf, xlab=V2, ylab=V1, main='Boxplots of ANOVA Groups')
dev.off()
bitmap(file='designplot.png')
xdf2 <- xdf # to preserve xdf make copy for function
names(xdf2) <- c(V1, V2, V3)
plot.design(xdf2, main='Design Plot of Group Means')
dev.off()
bitmap(file='interactionplot.png')
interaction.plot(xdf$Treatment_A, xdf$Treatment_B, xdf$Response, xlab=V2, ylab=V1, trace.label=V3, main='Possible Interactions Between Anova Groups')
dev.off()
if(intercept==TRUE){
thsd<-TukeyHSD(aov.xdf)
names(thsd) <- c(V2, V3, paste(V2, ':', V3, sep=''))
bitmap(file='TukeyHSDPlot.png')
layout(matrix(c(1,2,3,3), 2,2))
plot(thsd, las=1)
dev.off()
}
if(intercept==TRUE){
ntables<-length(names(thsd))
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tukey Honest Significant Difference Comparisons', 5,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ', 1, TRUE)
for(i in 1:4){
a<-table.element(a,colnames(thsd[[1]])[i], 1, TRUE)
}
a<-table.row.end(a)
for(nt in 1:ntables){
for(i in 1:length(rownames(thsd[[nt]]))){
a<-table.row.start(a)
a<-table.element(a,rownames(thsd[[nt]])[i], 1, TRUE)
for(j in 1:4){
a<-table.element(a,round(thsd[[nt]][i,j], digits=3), 1, FALSE)
}
a<-table.row.end(a)
}
} # end nt
a<-table.end(a)
table.save(a,file='hsdtable.tab')
}#end if hsd tables
if(intercept==FALSE){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'TukeyHSD Message', 1,TRUE)
a<-table.row.end(a)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Must Include Intercept to use Tukey Test ', 1, FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')
}
library(car)
lt.lmxdf<-leveneTest(lmxdf)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Levenes Test for Homogeneity of Variance', 4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ', 1, TRUE)
for (i in 1:3){
a<-table.element(a,names(lt.lmxdf)[i], 1, FALSE)
}
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Group', 1, TRUE)
for (i in 1:3){
a<-table.element(a,round(lt.lmxdf[[i]][1], digits=3), 1, FALSE)
}
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ', 1, TRUE)
a<-table.element(a,lt.lmxdf[[1]][2], 1, FALSE)
a<-table.element(a,' ', 1, FALSE)
a<-table.element(a,' ', 1, FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')