## 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 computationWed, 15 Dec 2010 19:33:39 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/15/t1292441526tdhcia31v5xnk68.htm/, Retrieved Thu, 07 Dec 2023 04:01:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=110681, Retrieved Thu, 07 Dec 2023 04:01:25 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130
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)] [] [2010-11-01 13:37:53] [b98453cac15ba1066b407e146608df68]
- RMPD    [Two-Way ANOVA] [two-way anova gew...] [2010-12-15 19:33:39] [dc77c696707133dea0955379c56a2acd] [Current]
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Dataseries X:
33024	1	'MVG'
32526	1	'MVG'
31455	1	'MVG'
31524	1	'MVG'
31856	1	'MVG'
32696	1	'MVG'
32584	1	'MVG'
33498	1	'MVG'
34175	1	'MVG'
34172	1	'MVG'
34379	1	'MVG'
34988	1	'MVG'
36158	1	'MVG'
37411	1	'MVG'
38015	1	'MVG'
37577	1	'MVG'
36354	1	'MVG'
36030	1	'MVG'
35636	1	'MVG'
35669	1	'MVG'
34635	1	'MVG'
35496	1	'MVG'
36376	1	'MVG'
37635	1	'MVG'
38875	1	'MVG'
38372	1	'MVG'
38897	1	'MVG'
38018	1	'MVG'
37325	1	'MVG'
36893	1	'MVG'
36117	1	'MVG'
37599	1	'MVG'
39037	1	'MVG'
40809	1	'MVG'
42508	1	'MVG'
44021	1	'MVG'
44088	1	'MVG'
44510	1	'MVG'
45786	1	'MVG'
47349	1	'MVG'
48696	1	'MVG'
50598	1	'MVG'
50066	1	'MVG'
49367	1	'MVG'
48784	1	'MVG'
47841	1	'MVG'
48300	1	'MVG'
47518	1	'MVG'
46504	1	'MVG'
45147	1	'MVG'
44404	1	'MVG'
43455	1	'MVG'
42299	1	'MVG'
42105	1	'MVG'
40152	1	'MVG'
39519	1	'MVG'
39633	1	'MVG'
39376	1	'MVG'
38850	1	'MVG'
39657	1	'MVG'
34804	1	'MVG'
34372	1	'MVG'
32678	1	'MVG'
28420	1	'MVG'
25420	1	'MVG'
27683	1	'MVG'
29904	1	'MVG'
30546	1	'MVG'
29142	1	'MVG'
27724	1	'MVG'
27069	1	'MVG'
26665	1	'MVG'
26004	1	'MVG'
25767	1	'MVG'
24915	1	'MVG'
23689	1	'MVG'
20915	1	'MVG'
19414	1	'MVG'
17824	1	'MVG'
16348	1	'MVG'
15571	1	'MVG'
13929	1	'MVG'
12480	1	'MVG'
10837	1	'MVG'
9473	1	'MVG'
8051	1	'MVG'
5278	1	'MVG'
3008	1	'MVG'
2404	1	'MVG'
2298	1	'MVG'
2260	1	'MVG'
1938	1	'MVG'
1371	1	'MVG'
1009	1	'MVG'
686	1	'MVG'
493	1	'MVG'
285	1	'MVG'
192	1	'MVG'
129	1	'MVG'
60	1	'MVG'
54	1	'MVG'
26	1	'MVG'
11	1	'MVG'
3	1	'MVG'
0	1	'MVG'
2	1	'MVG'
1	1	'MVG'
0	1	'MVG'
0	1	'MVG'
0	1	'MVG'
0	1	'MVG'
31086	0	'VVG'
30839	0	'VVG'
30051	0	'VVG'
29976	0	'VVG'
30463	0	'VVG'
31422	0	'VVG'
31588	0	'VVG'
31900	0	'VVG'
32878	0	'VVG'
33010	0	'VVG'
32954	0	'VVG'
33076	0	'VVG'
35057	0	'VVG'
35906	0	'VVG'
36100	0	'VVG'
35824	0	'VVG'
34579	0	'VVG'
34484	0	'VVG'
33920	0	'VVG'
34059	0	'VVG'
33812	0	'VVG'
34594	0	'VVG'
36083	0	'VVG'
36563	0	'VVG'
37416	0	'VVG'
37953	0	'VVG'
37517	0	'VVG'
37467	0	'VVG'
36963	0	'VVG'
36019	0	'VVG'
35232	0	'VVG'
36857	0	'VVG'
37978	0	'VVG'
40160	0	'VVG'
42165	0	'VVG'
43069	0	'VVG'
43021	0	'VVG'
43376	0	'VVG'
43978	0	'VVG'
45911	0	'VVG'
47107	0	'VVG'
49168	0	'VVG'
48390	0	'VVG'
47678	0	'VVG'
47822	0	'VVG'
46695	0	'VVG'
47185	0	'VVG'
45684	0	'VVG'
44884	0	'VVG'
44256	0	'VVG'
43637	0	'VVG'
42368	0	'VVG'
40892	0	'VVG'
40616	0	'VVG'
39026	0	'VVG'
38921	0	'VVG'
38512	0	'VVG'
38884	0	'VVG'
38406	0	'VVG'
38804	0	'VVG'
34871	0	'VVG'
34660	0	'VVG'
33104	0	'VVG'
28952	0	'VVG'
26488	0	'VVG'
29418	0	'VVG'
32315	0	'VVG'
32885	0	'VVG'
31565	0	'VVG'
30782	0	'VVG'
30442	0	'VVG'
30851	0	'VVG'
30432	0	'VVG'
31260	0	'VVG'
30737	0	'VVG'
30129	0	'VVG'
27672	0	'VVG'
26469	0	'VVG'
24895	0	'VVG'
24427	0	'VVG'
23252	0	'VVG'
21815	0	'VVG'
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18537	0	'VVG'
17237	0	'VVG'
15476	0	'VVG'
10709	0	'VVG'
6776	0	'VVG'
5810	0	'VVG'
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5775	0	'VVG'
5589	0	'VVG'
4687	0	'VVG'
3630	0	'VVG'
2552	0	'VVG'
1928	0	'VVG'
1323	0	'VVG'
1005	0	'VVG'
678	0	'VVG'
397	0	'VVG'
286	0	'VVG'
166	0	'VVG'
80	0	'VVG'
53	0	'VVG'
32	0	'VVG'
11	0	'VVG'
6	0	'VVG'
4	0	'VVG'
2	0	'VVG'
0	0	'VVG'
1	0	'VVG'
19828	1	'MWG'
19967	1	'MWG'
19814	1	'MWG'
20053	1	'MWG'
20719	1	'MWG'
21174	1	'MWG'
20648	1	'MWG'
20659	1	'MWG'
20733	1	'MWG'
21069	1	'MWG'
20566	1	'MWG'
20839	1	'MWG'
21615	1	'MWG'
22739	1	'MWG'
23222	1	'MWG'
23031	1	'MWG'
23014	1	'MWG'
22868	1	'MWG'
22182	1	'MWG'
22177	1	'MWG'
21216	1	'MWG'
21031	1	'MWG'
20968	1	'MWG'
21049	1	'MWG'
21033	1	'MWG'
21078	1	'MWG'
20702	1	'MWG'
20309	1	'MWG'
20449	1	'MWG'
20737	1	'MWG'
20849	1	'MWG'
21966	1	'MWG'
23100	1	'MWG'
23975	1	'MWG'
24350	1	'MWG'
24020	1	'MWG'
24005	1	'MWG'
23602	1	'MWG'
24120	1	'MWG'
24847	1	'MWG'
25702	1	'MWG'
26312	1	'MWG'
25891	1	'MWG'
25172	1	'MWG'
25698	1	'MWG'
25833	1	'MWG'
25658	1	'MWG'
25269	1	'MWG'
24846	1	'MWG'
24390	1	'MWG'
23954	1	'MWG'
23828	1	'MWG'
23507	1	'MWG'
23144	1	'MWG'
22302	1	'MWG'
23028	1	'MWG'
22741	1	'MWG'
23129	1	'MWG'
22911	1	'MWG'
22071	1	'MWG'
16466	1	'MWG'
16370	1	'MWG'
15049	1	'MWG'
13174	1	'MWG'
12231	1	'MWG'
13620	1	'MWG'
14317	1	'MWG'
14039	1	'MWG'
13526	1	'MWG'
12826	1	'MWG'
12360	1	'MWG'
12592	1	'MWG'
12381	1	'MWG'
12554	1	'MWG'
12338	1	'MWG'
11768	1	'MWG'
10687	1	'MWG'
9964	1	'MWG'
9338	1	'MWG'
8697	1	'MWG'
8068	1	'MWG'
7295	1	'MWG'
6372	1	'MWG'
5649	1	'MWG'
4926	1	'MWG'
4199	1	'MWG'
2568	1	'MWG'
1461	1	'MWG'
1173	1	'MWG'
1084	1	'MWG'
978	1	'MWG'
947	1	'MWG'
679	1	'MWG'
457	1	'MWG'
262	1	'MWG'
218	1	'MWG'
132	1	'MWG'
70	1	'MWG'
44	1	'MWG'
24	1	'MWG'
20	1	'MWG'
4	1	'MWG'
4	1	'MWG'
1	1	'MWG'
0	1	'MWG'
0	1	'MWG'
0	1	'MWG'
0	1	'MWG'
0	1	'MWG'
0	1	'MWG'
0	1	'MWG'
18932	0	'VWG'
18927	0	'VWG'
19124	0	'VWG'
19066	0	'VWG'
19971	0	'VWG'
20165	0	'VWG'
19705	0	'VWG'
19718	0	'VWG'
19938	0	'VWG'
20039	0	'VWG'
19721	0	'VWG'
19777	0	'VWG'
20505	0	'VWG'
21763	0	'VWG'
22404	0	'VWG'
22038	0	'VWG'
22038	0	'VWG'
21874	0	'VWG'
21269	0	'VWG'
21127	0	'VWG'
20609	0	'VWG'
20565	0	'VWG'
19791	0	'VWG'
20672	0	'VWG'
20938	0	'VWG'
20675	0	'VWG'
19992	0	'VWG'
19801	0	'VWG'
20050	0	'VWG'
20427	0	'VWG'
20815	0	'VWG'
21666	0	'VWG'
22720	0	'VWG'
23650	0	'VWG'
24244	0	'VWG'
23669	0	'VWG'
23881	0	'VWG'
23857	0	'VWG'
23999	0	'VWG'
24780	0	'VWG'
25426	0	'VWG'
26229	0	'VWG'
25973	0	'VWG'
25375	0	'VWG'
25966	0	'VWG'
25391	0	'VWG'
26046	0	'VWG'
25572	0	'VWG'
24900	0	'VWG'
24744	0	'VWG'
24526	0	'VWG'
24274	0	'VWG'
23774	0	'VWG'
23414	0	'VWG'
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23137	0	'VWG'
22947	0	'VWG'
23733	0	'VWG'
23234	0	'VWG'
22969	0	'VWG'
17708	0	'VWG'
17377	0	'VWG'
16273	0	'VWG'
14342	0	'VWG'
13522	0	'VWG'
15210	0	'VWG'
16493	0	'VWG'
16701	0	'VWG'
15662	0	'VWG'
15526	0	'VWG'
15413	0	'VWG'
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15802	0	'VWG'
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16906	0	'VWG'
16891	0	'VWG'
15703	0	'VWG'
15429	0	'VWG'
14762	0	'VWG'
14426	0	'VWG'
14250	0	'VWG'
13267	0	'VWG'
12397	0	'VWG'
11586	0	'VWG'
10888	0	'VWG'
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6443	0	'VWG'
4019	0	'VWG'
3449	0	'VWG'
3179	0	'VWG'
3341	0	'VWG'
3325	0	'VWG'
2478	0	'VWG'
1982	0	'VWG'
1405	0	'VWG'
1059	0	'VWG'
740	0	'VWG'
533	0	'VWG'
366	0	'VWG'
224	0	'VWG'
147	0	'VWG'
75	0	'VWG'
54	0	'VWG'
23	0	'VWG'
16	0	'VWG'
6	0	'VWG'
7	0	'VWG'
2	0	'VWG'
0	0	'VWG'
0	0	'VWG'
0	0	'VWG'


 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 4 seconds R Server 'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 4 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110681&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110681&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110681&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 4 seconds R Server 'RServer@AstonUniversity' @ vre.aston.ac.uk

 ANOVA Model Response ~ Treatment_A * Treatment_B - 1 means 15831.892 27004.468 -12079.775 11924.991 NA NA NA NA

\begin{tabular}{lllllllll}
\hline
ANOVA Model \tabularnewline
Response ~ Treatment_A * Treatment_B - 1 \tabularnewline
means & 15831.892 & 27004.468 & -12079.775 & 11924.991 & NA & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110681&T=1

[TABLE]
[ROW][C]ANOVA Model[/C][/ROW]
[ROW][C]Response ~ Treatment_A * Treatment_B - 1[/C][/ROW]
[ROW][C]means[/C][C]15831.892[/C][C]27004.468[/C][C]-12079.775[/C][C]11924.991[/C][C]NA[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110681&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110681&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 Response ~ Treatment_A * Treatment_B - 1 means 15831.892 27004.468 -12079.775 11924.991 NA NA NA NA

 ANOVA Statistics Df Sum Sq Mean Sq F value Pr(>F) 2 Treatment_A 2 203020993892.275 101510496946.137 604.946 0 Treatment_B 2 15991013465.32 7995506732.66 47.649 0 Residuals 440 73832345167.405 167800784.471

\begin{tabular}{lllllllll}
\hline
ANOVA Statistics \tabularnewline
& Df & Sum Sq & Mean Sq & F value & Pr(>F) \tabularnewline
& 2 &  &  &  &  \tabularnewline
Treatment_A & 2 & 203020993892.275 & 101510496946.137 & 604.946 & 0 \tabularnewline
Treatment_B & 2 & 15991013465.32 & 7995506732.66 & 47.649 & 0 \tabularnewline
Residuals & 440 & 73832345167.405 & 167800784.471 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110681&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][/C][C]2[/C][C][/C][C][/C][C][/C][C][/C][/ROW]
[ROW][C]Treatment_A[/C][C]2[/C][C]203020993892.275[/C][C]101510496946.137[/C][C]604.946[/C][C]0[/C][/ROW]
[ROW][C]Treatment_B[/C][C]2[/C][C]15991013465.32[/C][C]7995506732.66[/C][C]47.649[/C][C]0[/C][/ROW]
[ROW][C]Residuals[/C][C]440[/C][C]73832345167.405[/C][C]167800784.471[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110681&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110681&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 Df Sum Sq Mean Sq F value Pr(>F) 2 Treatment_A 2 203020993892.275 101510496946.137 604.946 0 Treatment_B 2 15991013465.32 7995506732.66 47.649 0 Residuals 440 73832345167.405 167800784.471

 Must Include Intercept to use Tukey Test

\begin{tabular}{lllllllll}
\hline
Must Include Intercept to use Tukey Test  \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110681&T=3

[TABLE]
[ROW][C]Must Include Intercept to use Tukey Test [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110681&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110681&T=3

As an alternative you can also use a QR Code:

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

 Must Include Intercept to use Tukey Test

 Levenes Test for Homogeneity of Variance Df F value Pr(>F) Group 3 11.619 0 440

\begin{tabular}{lllllllll}
\hline
Levenes Test for Homogeneity of Variance \tabularnewline
& Df & F value & Pr(>F) \tabularnewline
Group & 3 & 11.619 & 0 \tabularnewline
& 440 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110681&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]3[/C][C]11.619[/C][C]0[/C][/ROW]
[ROW][C] [/C][C]440[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110681&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110681&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 Df F value Pr(>F) Group 3 11.619 0 440

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$'Mean Sq'[i+1], digits=3),,FALSE)a<-table.element(a, ' ',,FALSE)a<-table.element(a, ' ',,FALSE)a<-table.row.end(a)a<-table.end(a)table.save(a,file='mytable1.tab')bitmap(file='anovaplot.png')boxplot(Response ~ Treatment_A + Treatment_B, data=xdf, xlab=V2, ylab=V1, main='Boxplots of ANOVA Groups')dev.off()bitmap(file='designplot.png')xdf2 <- xdf # to preserve xdf make copy for functionnames(xdf2) <- c(V1, V2, V3)plot.design(xdf2, main='Design Plot of Group Means')dev.off()bitmap(file='interactionplot.png')interaction.plot(xdf$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 nta<-table.end(a)table.save(a,file='hsdtable.tab')}#end if hsd tablesif(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')