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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_One Factor ANOVA.wasp
Title produced by softwareOne-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)
Date of computationTue, 21 Oct 2014 09:23:36 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/21/t1413879827gnaqwn08ej9yxdg.htm/, Retrieved Mon, 13 May 2024 03:03:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=244341, Retrieved Mon, 13 May 2024 03:03:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact338
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2010-11-02 14:17:22] [b98453cac15ba1066b407e146608df68]
- RMP     [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-21 08:23:36] [63a9f0ea7bb98050796b649e85481845] [Current]
-  MP       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 10:30:37] [2b9d0c54c8c845c625e475ed5f1f3af1]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Ws 5 Question 7] [2014-10-29 11:11:56] [be945163e51ed825733188af308451be]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 11:45:21] [eee95947b6243a1febfcd5f41483d733]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 12:29:42] [fa1b8827d7de91b8b87087311d3d9fa1]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 12:42:07] [6656361aa4da5489a6a45e803df0211c]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Workshop 5 questi...] [2014-10-29 12:42:16] [a973c0e834bbe3ac475ff4c54470c2b0]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 12:45:09] [6656361aa4da5489a6a45e803df0211c]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 13:32:55] [7b576ab45e161dc8fb6fe50455a3800c]
- R PD      [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 13:34:00] [dacad244957cb51472792888970d4390]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 13:53:06] [b2fe7fef0850359c2a41ad606a8f04c2]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 13:54:54] [e493208d2907342b139e6792bbaea494]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS5 - task 7] [2014-10-29 13:55:43] [81f624c2f0b20a2549c93e7c3dccf981]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 14:08:10] [5d70ade31d892c55b68fa1af48da4bec]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS6-1] [2014-10-29 14:18:31] [40df8d8b5657a9599acc6ccced535535]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS6-2] [2014-10-29 14:19:33] [40df8d8b5657a9599acc6ccced535535]
- R  D      [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Task7.1 WS5] [2014-10-29 14:22:12] [805021881bfa5340347077d26b077617]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 14:26:32] [ae96d02647dd9ad9c105f1fa6642e295]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS5 -7.1] [2014-10-29 14:31:02] [4d39cf209776852399955073f9d0ee7a]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 14:37:46] [d253a55552bf9917a397def3be261e30]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [question 7] [2014-10-29 14:39:16] [2ba32e9656c7c3fdddad3ba3f1588288]
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 14:54:04] [c2c160edf30e228bd3a949bf24376c2c]
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-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 15:12:02] [d253a55552bf9917a397def3be261e30]
-  MP       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 15:12:54] [bca3c6529212edfac3e771806c79a908]
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS 5: Q7] [2014-10-29 15:18:54] [36781f05c04c55e165b348994b753b95]
-  MP       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS5 Q7] [2014-10-29 15:20:10] [bcf5edf18529a33bd1494456d2c6cb9a]
- R         [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 15:24:55] [6795cd14e59cd8fafcdf800c40b889d9]
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 15:28:10] [3cc57788b191749bdc089f5fad42e0f8]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 15:29:01] [40df8d8b5657a9599acc6ccced535535]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [workshop 5 bereke...] [2014-10-29 15:40:41] [b007041690f75f30ec26eb43925b7b35]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 16:19:25] [d69b52d23ca73e15a0c741afa583703c]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 16:19:58] [fda96889f4ef6d31c0c28fd64d281011]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 16:28:36] [69bf0eb8b9b38defaaf4848d8c317571]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS5 SHW] [2014-10-29 17:30:05] [cac6c5fb035463be46c296b46e439cb5]
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Qzeven] [2014-10-29 17:46:01] [9378e2688aa9dcfd1390615d31e9d404]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 18:05:50] [394a9522c47495260fca596e959e6202]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 18:06:43] [394a9522c47495260fca596e959e6202]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 18:07:52] [394a9522c47495260fca596e959e6202]
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 18:41:52] [bcf5edf18529a33bd1494456d2c6cb9a]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Question 7 KT a] [2014-10-29 18:42:57] [c91e4c88cfd8ec1fc4fb1878ec426fb8]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Question 7 KT b] [2014-10-29 18:43:58] [c91e4c88cfd8ec1fc4fb1878ec426fb8]
-  M        [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [Compendium 5] [2014-10-29 19:12:41] [006b54b8ce76f482b86cd20c6480b526]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 19:23:25] [02fb6cbf799bcf1e525e4e01c2f27ada]
- R PD      [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 21:11:59] [cc401d1001c65f55a3dfc6f2420e9570]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [] [2014-10-29 23:06:38] [dacad244957cb51472792888970d4390]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [WS5 Q7.1] [2014-10-30 07:32:53] [ce9f16fa58bb2303d66047ab4343b505]
-           [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [question 7 - kort...] [2014-10-30 09:03:30] [1e921ed6280e31020168fe5cd3fc7265]

[Truncated]
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Dataseries X:
'WWE'	0	0	0	0	0	0
'WWE'	0	0	0	0	0	0
'WWE'	0	1	1	1	1	2
'WWE'	0	0	0	0	0	0
'WWE'	0	1	1	1	1	2
'WWE'	0	0	1	0	1	1
'WWE'	0	0	0	0	0	0
'WWE'	0	1	1	1	1	2
'WWE'	0	0	0	0	0	0
'WWE'	0	0	0	0	0	0
'WWE'	0	0	0	0	0	0
'WWE'	0	0	0	0	0	0
'WWE'	0	0	0	0	0	0
'WWE'	0	0	NA	0	NA	NA
'WWE'	0	0	1	0	1	1
'WWE'	1	1	NA	0	NA	NA
'WWE'	1	0	0	-1	-1	-1
'WWE'	0	0	0	0	0	0
'WWE'	0	0	1	0	1	1
'WWE'	0	1	0	1	0	1
'WWE'	0	0	0	0	0	0
'WWE'	1	1	0	0	-1	0
'WWE'	0	0	0	0	0	0
'WWE'	0	1	0	1	0	1
'WWE'	0	1	1	1	1	2
'WWE'	0	1	1	1	1	2
'WWE'	0	0	0	0	0	0
'WWE'	1	1	0	0	-1	0
'WWE'	0	1	0	1	0	1
'WWE'	0	1	0	1	0	1
'WWE'	0	0	1	0	1	1
'WWE'	0	1	0	1	0	1
'WWE'	0	1	0	1	0	1
'WWE'	0	0	0	0	0	0
'WWE'	0	0	0	0	0	0
'WWE'	1	1	0	0	-1	0
'WWE'	1	1	0	0	-1	0
'WWE'	0	0	0	0	0	0
'WWE'	0	0	NA	0	NA	NA
'WWE'	0	0	1	0	1	1
'WWE'	0	0	0	0	0	0
'CSWE'	0	0	0	0	0	0
'CSWE'	1	0	NA	-1	NA	NA
'CSWE'	0	0	0	0	0	0
'CSWE'	0	1	NA	1	NA	NA
'CSWE'	0	1	0	1	0	1
'CSWE'	0	0	0	0	0	0
'CSWE'	0	0	0	0	0	0
'CSWE'	0	0	1	0	1	1
'CSWE'	0	0	0	0	0	0
'CSWE'	1	1	0	0	-1	0
'CSWE'	0	0	1	0	1	1
'CSWE'	0	1	0	1	0	1
'CSWE'	0	0	0	0	0	0
'CSWE'	0	1	NA	1	NA	NA
'CSWE'	0	1	0	1	0	1
'CSWE'	0	1	NA	1	NA	NA
'CSWE'	1	1	0	0	-1	0
'CSWE'	0	1	0	1	0	1
'CSWE'	0	0	NA	0	NA	NA
'CSWE'	0	1	0	1	0	1
'CSWE'	0	0	0	0	0	0
'CSWE'	0	0	NA	0	NA	NA
'CSWE'	0	0	0	0	0	0
'CSWE'	0	1	0	1	0	1
'CSWE'	0	0	0	0	0	0
'CSWE'	0	0	1	0	1	1
'CSWE'	0	1	0	1	0	1
'CSWE'	0	1	0	1	0	1
'CSWE'	1	1	0	0	-1	0
'CSWE'	0	0	1	0	1	1
'CSWE'	0	1	1	1	1	2
'CSWE'	0	1	0	1	0	1
'CSWE'	0	0	NA	0	NA	NA
'CSWE'	0	0	0	0	0	0
'CSWE'	0	1	NA	1	NA	NA
'CSWE'	0	0	0	0	0	0
'CSWE'	0	0	0	0	0	0
'CSWE'	0	0	0	0	0	0
'CSWE'	0	1	0	1	0	1
'CSWE'	0	1	0	1	0	1
'C'	0	0	0	0	0	0
'C'	0	0	1	0	1	1
'C'	1	0	0	-1	-1	-1
'C'	0	0	1	0	1	1
'C'	0	0	NA	0	NA	NA
'C'	0	0	0	0	0	0
'C'	0	0	0	0	0	0
'C'	0	1	0	1	0	1
'C'	1	1	0	0	-1	0
'C'	0	0	NA	0	NA	NA
'C'	0	0	0	0	0	0
'C'	0	1	0	1	0	1
'C'	0	1	0	1	0	1
'C'	0	0	0	0	0	0
'C'	0	0	0	0	0	0
'C'	0	0	0	0	0	0
'C'	0	0	0	0	0	0
'C'	0	0	NA	0	NA	NA
'C'	0	0	0	0	0	0
'C'	0	1	0	1	0	1
'C'	1	1	0	0	-1	0
'C'	0	1	0	1	0	1
'C'	0	0	0	0	0	0
'C'	0	0	0	0	0	0
'C'	1	1	0	0	-1	0
'C'	0	0	0	0	0	0
'C'	0	0	0	0	0	0
'C'	0	0	0	0	0	0
'C'	0	0	0	0	0	0
'C'	0	0	0	0	0	0
'C'	1	1	0	0	-1	0
'C'	0	0	1	0	1	1
'C'	0	0	0	0	0	0
'C'	0	0	0	0	0	0
'C'	0	0	0	0	0	0
'C'	0	0	1	0	1	1
'C'	0	0	0	0	0	0
'C'	0	0	NA	0	NA	NA
'C'	1	1	0	0	-1	0




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=244341&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=244341&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=244341&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







ANOVA Model
post1-pre ~ treat
means0.1030.2720.141

\begin{tabular}{lllllllll}
\hline
ANOVA Model \tabularnewline
post1-pre  ~  treat \tabularnewline
means & 0.103 & 0.272 & 0.141 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=244341&T=1

[TABLE]
[ROW][C]ANOVA Model[/C][/ROW]
[ROW][C]post1-pre  ~  treat[/C][/ROW]
[ROW][C]means[/C][C]0.103[/C][C]0.272[/C][C]0.141[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=244341&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=244341&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

ANOVA Model
post1-pre ~ treat
means0.1030.2720.141







ANOVA Statistics
DfSum SqMean SqF valuePr(>F)
treat21.4660.7333.2330.043
Residuals11726.5260.227

\begin{tabular}{lllllllll}
\hline
ANOVA Statistics \tabularnewline
  & Df & Sum Sq & Mean Sq & F value & Pr(>F) \tabularnewline
treat & 2 & 1.466 & 0.733 & 3.233 & 0.043 \tabularnewline
Residuals & 117 & 26.526 & 0.227 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=244341&T=2

[TABLE]
[ROW][C]ANOVA Statistics[/C][/ROW]
[ROW][C] [/C][C]Df[/C][C]Sum Sq[/C][C]Mean Sq[/C][C]F value[/C][C]Pr(>F)[/C][/ROW]
[ROW][C]treat[/C][C]2[/C][C]1.466[/C][C]0.733[/C][C]3.233[/C][C]0.043[/C][/ROW]
[ROW][C]Residuals[/C][C]117[/C][C]26.526[/C][C]0.227[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=244341&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=244341&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

ANOVA Statistics
DfSum SqMean SqF valuePr(>F)
treat21.4660.7333.2330.043
Residuals11726.5260.227







Tukey Honest Significant Difference Comparisons
difflwruprp adj
CSWE-C0.2720.0180.5270.033
WWE-C0.141-0.1110.3940.383
WWE-CSWE-0.131-0.3820.120.433

\begin{tabular}{lllllllll}
\hline
Tukey Honest Significant Difference Comparisons \tabularnewline
  & diff & lwr & upr & p adj \tabularnewline
CSWE-C & 0.272 & 0.018 & 0.527 & 0.033 \tabularnewline
WWE-C & 0.141 & -0.111 & 0.394 & 0.383 \tabularnewline
WWE-CSWE & -0.131 & -0.382 & 0.12 & 0.433 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=244341&T=3

[TABLE]
[ROW][C]Tukey Honest Significant Difference Comparisons[/C][/ROW]
[ROW][C] [/C][C]diff[/C][C]lwr[/C][C]upr[/C][C]p adj[/C][/ROW]
[ROW][C]CSWE-C[/C][C]0.272[/C][C]0.018[/C][C]0.527[/C][C]0.033[/C][/ROW]
[ROW][C]WWE-C[/C][C]0.141[/C][C]-0.111[/C][C]0.394[/C][C]0.383[/C][/ROW]
[ROW][C]WWE-CSWE[/C][C]-0.131[/C][C]-0.382[/C][C]0.12[/C][C]0.433[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=244341&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=244341&T=3

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Tukey Honest Significant Difference Comparisons
difflwruprp adj
CSWE-C0.2720.0180.5270.033
WWE-C0.141-0.1110.3940.383
WWE-CSWE-0.131-0.3820.120.433







Levenes Test for Homogeneity of Variance
DfF valuePr(>F)
Group23.6390.029
117

\begin{tabular}{lllllllll}
\hline
Levenes Test for Homogeneity of Variance \tabularnewline
  & Df & F value & Pr(>F) \tabularnewline
Group & 2 & 3.639 & 0.029 \tabularnewline
  & 117 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=244341&T=4

[TABLE]
[ROW][C]Levenes Test for Homogeneity of Variance[/C][/ROW]
[ROW][C] [/C][C]Df[/C][C]F value[/C][C]Pr(>F)[/C][/ROW]
[ROW][C]Group[/C][C]2[/C][C]3.639[/C][C]0.029[/C][/ROW]
[ROW][C] [/C][C]117[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=244341&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=244341&T=4

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Levenes Test for Homogeneity of Variance
DfF valuePr(>F)
Group23.6390.029
117



Parameters (Session):
par1 = 5 ; par2 = 1 ; par3 = TRUE ;
Parameters (R input):
par1 = 5 ; par2 = 1 ; par3 = TRUE ;
R code (references can be found in the software module):
cat1 <- as.numeric(par1) #
cat2<- as.numeric(par2) #
intercept<-as.logical(par3)
x <- t(x)
x1<-as.numeric(x[,cat1])
f1<-as.character(x[,cat2])
xdf<-data.frame(x1,f1)
(V1<-dimnames(y)[[1]][cat1])
(V2<-dimnames(y)[[1]][cat2])
names(xdf)<-c('Response', 'Treatment')
if(intercept == FALSE) (lmxdf<-lm(Response ~ Treatment - 1, data = xdf) ) else (lmxdf<-lm(Response ~ Treatment, 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$coefficients)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, paste(V1, ' ~ ', V2), length(lmxdf$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)
a<-table.row.start(a)
a<-table.element(a, V2,,TRUE)
a<-table.element(a, anova.xdf$Df[1],,FALSE)
a<-table.element(a, round(anova.xdf$'Sum Sq'[1], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Mean Sq'[1], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'F value'[1], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Pr(>F)'[1], digits=3),,FALSE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residuals',,TRUE)
a<-table.element(a, anova.xdf$Df[2],,FALSE)
a<-table.element(a, round(anova.xdf$'Sum Sq'[2], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Mean Sq'[2], 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, data=xdf, xlab=V2, ylab=V1)
dev.off()
if(intercept==TRUE){
thsd<-TukeyHSD(aov.xdf)
bitmap(file='TukeyHSDPlot.png')
plot(thsd)
dev.off()
}
if(intercept==TRUE){
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(i in 1:length(rownames(thsd[[1]]))){
a<-table.row.start(a)
a<-table.element(a,rownames(thsd[[1]])[i], 1, TRUE)
for(j in 1:4){
a<-table.element(a,round(thsd[[1]][i,j], digits=3), 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
}
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<-levene.test(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')