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Author's title

Author

*Unverified author*

R Software Module

rwasp_Mixed Model ANOVA.wasp

Title produced by software

Mixed Within-Between Two-Way ANOVA

Date of computation

Mon, 07 Feb 2011 18:15:13 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Feb/07/t12971023861ryziy45zcckvao.htm/, Retrieved Sun, 19 May 2024 13:58:29 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=118102, Retrieved Sun, 19 May 2024 13:58:29 +0000

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User-defined keywords

Estimated Impact

221

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

-       [Mixed Within-Between Two-Way ANOVA] [Mixed within and ...] [2011-02-07 18:15:13] [53685e48f8266d5a2286dda111d38ef6] [Current]

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'1'	'Trt'	'NoCue'	'Neut'	   433.5
'1'	'Trt'	'NoCue'	'Cong'   423.9
'1'	'Trt'	'NoCue'	'Inc'	   490.9
'1'	'Trt'	'Cent'	       'Neut'	   385.2
'1'	'Trt'	'Cent'  	'Cong'   368.6
'1'	'Trt'	'Cent' 	'Inc'	   473.4
'1'	'Trt'	'Double'	'Neut'   378.9
'1'	'Trt'	'Double'	'Cong'   378.9
'1'	'Trt'	'Double'	'Inc'	   455.4
'1'	'Trt'	'Spatial'	'Neut'	   328.1
'1'	'Trt'	'Spatial'	'Cong'   350.2
'1'	'Trt'	'Spatial'	'Inc'	   407.2
'2'	'Trt'	'NoCue'	'Neut'   436.4
'2'	'Trt'	'NoCue'	'Cong'   441.9
'2'	'Trt'	'NoCue'	'Inc'	   483.3
'2'	'Trt'	'Cent' 	'Neut'   374.2
'2'	'Trt'	'Cent' 	'Cong'   389.8
'2'	'Trt'	'Cent' 	'Inc'	   455.7
'2'	'Trt'	'Double'	'Neut'	   357.0
'2'	'Trt'	'Double'	'Cong'   384.2
'2'	'Trt'	'Double'	'Inc'	   433.0
'2'	'Trt'	'Spatial'	'Neut'   339.4
'2'	'Trt'	'Spatial'	'Cong'   337.6
'2'	'Trt'	'Spatial'	'Inc'	   421.0
'3'	'Trt'	'NoCue'	'Neut'	   428.7
'3'	'Trt'	'NoCue'	'Cong'   428.1
'3'	'Trt'	'NoCue'	'Inc'	   503.3
'3'	'Trt'	'Cent'	        'Neut'	   371.2
'3'	'Trt'	'Cent' 	'Cong'   368.0
'3'	'Trt'	'Cent'	        'Inc'	   436.5
'3'	'Trt'	'Double'	'Neut'	   392.3
'3'	'Trt'	'Double'	'Cong'   356.3
'3'	'Trt'	'Double'	'Inc'	   432.7
'3'	'Trt'	'Spatial'	'Neut'   331.3
'3'	'Trt'	'Spatial'	'Cong'   334.6
'3'	'Trt'	'Spatial'	'Inc'	   431.4
'4'	'Trt'	'NoCue'	'Neut'   415.5
'4'	'Trt'	'NoCue'	'Cong'   433.3
'4'	'Trt'	'NoCue'	'Inc'	   498.5
'4'	'Trt'	'Cent' 	'Neut'	   384.8
'4'	'Trt'	'Cent' 	'Cong'   383.2
'4'	'Trt'	'Cent'	        'Inc'	   438.5
'4'	'Trt'	'Double'	'Neut'	   370.3
'4'	'Trt'	'Double'	'Cong'   399.4
'4'	'Trt'	'Double'	'Inc'	   445.9
'4'	'Trt'	'Spatial'	'Neut'   320.7
'4'	'Trt'	'Spatial'	'Cong'   342.8
'4'	'Trt'	'Spatial'	'Inc'	   407.0
'5'	'Trt'	'NoCue'	'Neut'	   429.1
'5'	'Trt'	'NoCue'	'Cong'   436.9
'5'	'Trt'	'NoCue'	'Inc'	   499.0
'5'	'Trt'	'Cent' 	'Neut'   378.1
'5'	'Trt'	'Cent' 	'Cong'   394.6
'5'	'Trt'	'Cent' 	'Inc'	   471.4
'5'	'Trt'	'Double'	'Neut'	   370.6
'5'	'Trt'	'Double'	'Cong'   370.7
'5'	'Trt'	'Double'	'Inc'	   447.1
'5'	'Trt'	'Spatial'	'Neut'	   332.5
'5'	'Trt'	'Spatial'	'Cong'   329.9
'5'	'Trt'	'Spatial'	'Inc'	   418.3
'6'	'Trt'	'NoCue'	'Neut'	   435.3
'6'	'Trt'	'NoCue'	'Cong'   422.7
'6'	'Trt'	'NoCue'	'Inc'	   480.0
'6'	'Trt'	'Cent'	        'Neut'   390.7
'6'	'Trt'	'Cent' 	'Cong'   366.9
'6'	'Trt'	'Cent' 	'Inc'	   461.5
'6'	'Trt'	'Double'	'Neut'	   354.1
'6'	'Trt'	'Double'	'Cong'   385.6
'6'	'Trt'	'Double'	'Inc'	   435.4
'6'	'Trt'	'Spatial'	'Neut'	   336.3
'6'	'Trt'	'Spatial'	'Cong'   335.0
'6'	'Trt'	'Spatial'	'Inc'	   399.6
'7'	'Trt'	'NoCue'	'Neut'	   435.4
'7'	'Trt'	'NoCue'	'Cong'   412.3
'7'	'Trt'	'NoCue'	'Inc'	   484.9
'7'	'Trt'	'Cent' 	'Neut'	   387.8
'7'	'Trt'	'Cent' 	'Cong'   380.5
'7'	'Trt'	'Cent' 	'Inc'	   443.4
'7'	'Trt'	'Double'	'Neut'	   361.9
'7'	'Trt'	'Double'	'Cong'   346.4
'7'	'Trt'	'Double'	'Inc'	   452.1
'7'	'Trt'	'Spatial'	'Neut'	   351.1
'7'	'Trt'	'Spatial'	'Cong'   345.6
'7'	'Trt'	'Spatial'	'Inc'	   424.7
'8'	'Trt'	'NoCue'	'Neut'   402.9
'8'	'Trt'	'NoCue'	'Cong'   412.7
'8'	'Trt'	'NoCue'	'Inc'	   502.4
'8'	'Trt'	'Cent'	        'Neut'	   387.8
'8'	'Trt'	'Cent'  	'Cong'   358.2
'8'	'Trt'	'Cent'	        'Inc'	   437.8
'8'	'Trt'	'Double'	'Neut'   357.4
'8'	'Trt'	'Double'	'Cong'   401.8
'8'	'Trt'	'Double'	'Inc'	   459.5
'8'	'Trt'	'Spatial'	'Neut'   360.1
'8'	'Trt'	'Spatial'	'Cong'   335.6
'8'	'Trt'	'Spatial'	'Inc'	   405.1
'9'	'Trt'	'NoCue'	'Neut'	   419.2
'9'	'Trt'	'NoCue'	'Cong'   420.1
'9'	'Trt'	'NoCue'	'Inc'	   500.0
'9'	'Trt'	'Cent' 	'Neut'	   386.1
'9'	'Trt'	'Cent'	        'Cong'   381.4
'9'	'Trt'	'Cent' 	'Inc'	   460.0
'9'	'Trt'	'Double'	'Neut'	   370.2
'9'	'Trt'	'Double'	'Cong'   369.4
'9'	'Trt'	'Double'	'Inc'	   445.4
'9'	'Trt'	'Spatial'	'Neut'   351.2
'9'	'Trt'	'Spatial'	'Cong'   336.6
'9'	'Trt'	'Spatial'	'Inc'	   422.3
'10'	'Trt'	'NoCue'	'Neut'	   441.6
'10'	'Trt'	'NoCue'	'Cong'   432.2
'10'	'Trt'	'NoCue'	'Inc'	   516.9
'10'	'Trt'	'Cent'	        'Neut'	   382.5
'10'	'Trt'	'Cent'  	'Cong'   376.9
'10'	'Trt'	'Cent' 	'Inc'	   442.9
'10'	'Trt'	'Double'	'Neut'   385.6
'10'	'Trt'	'Double'	'Cong'   385.9
'10'	'Trt'	'Double'	'Inc'	   457.8
'10'	'Trt'	'Spatial'	'Neut'   342.2
'10'	'Trt'	'Spatial'	'Cong'   331.5
'10'	'Trt'	'Spatial'	'Inc'	   408.1
'11'	'Ctrl'	'NoCue'	'Neut'	   446.7
'11'	'Ctrl'	'NoCue'	'Cong'   433.8
'11'	'Ctrl'	'NoCue'	'Inc'	   517.3
'11'	'Ctrl'	'Cent'	        'Neut'	   380.3
'11'	'Ctrl'	'Cent' 	'Cong'   371.6
'11'	'Ctrl'	'Cent' 	'Inc'	   493.7
'11'	'Ctrl'	'Double'	'Neut'	   390.9
'11'	'Ctrl'	'Double'	'Cong'   394.2
'11'	'Ctrl'	'Double'	'Inc'	   482.1
'11'	'Ctrl'	'Spatial'	'Neut'	   345.2
'11'	'Ctrl'	'Spatial'	'Cong'   330.7
'11'	'Ctrl'	'Spatial'	'Inc'	   391.5
'12'	'Ctrl'	'NoCue'	'Neut'   420.7
'12'	'Ctrl'	'NoCue'	'Cong'   442.7
'12'	'Ctrl'	'NoCue'	'Inc'	   513.3
'12'	'Ctrl'	'Cent'	        'Neut'	   374.7
'12'	'Ctrl'	'Cent' 	'Cong'   373.0
'12'	'Ctrl'	'Cent' 	'Inc'	   486.7
'12'	'Ctrl'	'Double'	'Neut'	   380.0
'12'	'Ctrl'	'Double'	'Cong'   374.9
'12'	'Ctrl'	'Double'	'Inc'	   495.7
'12'	'Ctrl'	'Spatial'	'Neut'	   352.6
'12'	'Ctrl'	'Spatial'	'Cong'   347.6
'12'	'Ctrl'	'Spatial'	'Inc'	   424.4
'13'	'Ctrl'	'NoCue'	'Neut'	   422.1
'13'	'Ctrl'	'NoCue'	'Cong'   424.2
'13'	'Ctrl'	'NoCue'	'Inc'	   503.6
'13'	'Ctrl'	'Cent'	        'Neut'	   364.8
'13'	'Ctrl'	'Cent' 	'Cong'   364.3
'13'	'Ctrl'	'Cent'	        'Inc'	   474.6
'13'	'Ctrl'	'Double'	'Neut'	   383.8
'13'	'Ctrl'	'Double'	'Cong'   363.6
'13'	'Ctrl'	'Double'	'Inc'	   477.1
'13'	'Ctrl'	'Spatial'	'Neut'	   338.0
'13'	'Ctrl'	'Spatial'	'Cong'   332.8
'13'	'Ctrl'	'Spatial'	'Inc'	   420.3
'14'	'Ctrl'	'NoCue'	'Neut'	   431.7
'14'	'Ctrl'	'NoCue'	'Cong'   436.4
'14'	'Ctrl'	'NoCue'	'Inc'	   481.9
'14'	'Ctrl'	'Cent' 	'Neut'	   376.7
'14'	'Ctrl'	'Cent' 	'Cong'   388.7
'14'	'Ctrl'	'Cent'	        'Inc'	   484.4
'14'	'Ctrl'	'Double'	'Neut'	   383.4
'14'	'Ctrl'	'Double'	'Cong'   363.5
'14'	'Ctrl'	'Double'	'Inc'	   467.4
'14'	'Ctrl'	'Spatial'	'Neut'	   315.9
'14'	'Ctrl'	'Spatial'	'Cong'   354.7
'14'	'Ctrl'	'Spatial'	'Inc'	   408.6
'15'	'Ctrl'	'NoCue'	'Neut'	   430.9
'15'	'Ctrl'	'NoCue'	'Cong'   446.8
'15'	'Ctrl'	'NoCue'	'Inc'	   505.1
'15'	'Ctrl'	'Cent' 	'Neut'	   372.7
'15'	'Ctrl'	'Cent' 	'Cong'   382.8
'15'	'Ctrl'	'Cent'	        'Inc'	   483.5
'15'	'Ctrl'	'Double'	'Neut'	   369.3
'15'	'Ctrl'	'Double'	'Cong'   378.1
'15'	'Ctrl'	'Double'	'Inc'	   461.1
'15'	'Ctrl'	'Spatial'	'Neut'	   342.6
'15'	'Ctrl'	'Spatial'	'Cong'   336.2
'15'	'Ctrl'	'Spatial'	'Inc'	   421.7
'16'	'Ctrl'	'NoCue'	'Neut'	   425.6
'16'	'Ctrl'	'NoCue'	'Cong'   417.5
'16'	'Ctrl'	'NoCue'	'Inc'	   495.2
'16'	'Ctrl'	'Cent'	        'Neut'	   373.9
'16'	'Ctrl'	'Cent' 	'Cong'   378.6
'16'	'Ctrl'	'Cent'	        'Inc'	   490.9
'16'	'Ctrl'	'Double'	'Neut'	   381.9
'16'	'Ctrl'	'Double'	'Cong'   358.5
'16'	'Ctrl'	'Double'	'Inc'	   464.4
'16'	'Ctrl'	'Spatial'	'Neut'	   340.3
'16'	'Ctrl'	'Spatial'	'Cong'   351.1
'16'	'Ctrl'	'Spatial'	'Inc'	   408.4
'17'	'Ctrl'	'NoCue'	'Neut'   421.6
'17'	'Ctrl'	'NoCue'	'Cong'   432.6
'17'	'Ctrl'	'NoCue'	'Inc'	   502.8
'17'	'Ctrl'	'Cent'    	'Neut'	   386.0
'17'	'Ctrl'	'Cent' 	'Cong'   389.3
'17'	'Ctrl'	'Cent'	        'Inc'	   487.0
'17'	'Ctrl'	'Double'	'Neut'	   369.5
'17'	'Ctrl'	'Double'	'Cong   368.7
'17'	'Ctrl'	'Double'	'Inc'	   482.0
'17'	'Ctrl'	'Spatial'	'Neut'	   350.8
'17'	'Ctrl'	'Spatial'	'Cong'   333.9
'17'	'Ctrl'	'Spatial'	'Inc'	   421.7
'18'	'Ctrl'	'NoCue'	'Neut'	   432.5
'18'	'Ctrl'	'NoCue'	'Cong'   413.6
'18'	'Ctrl'	'NoCue'	'Inc'	   484.4
'18'	'Ctrl'	'Cent' 	'Neut'	   388.4
'18'	'Ctrl'	'Cent'	        'Cong'   374.6
'18'	'Ctrl'	'Cent' 	'Inc'	   475.4
'18'	'Ctrl'	'Double'	'Neut'	   380.8
'18'	'Ctrl'	'Double'	'Cong'   372.6
'18'	'Ctrl'	'Double'	'Inc'	   464.2
'18'	'Ctrl'	'Spatial'	'Neut'	   337.4
'18'	'Ctrl'	'Spatial'	'Cong'   338.3
'18'	'Ctrl'	'Spatial'	'Inc'	   407.7
'19'	'Ctrl'	'NoCue'	'Neut'	   436.6
'19'	'Ctrl'	'NoCue'	'Cong'   421.7
'19'	'Ctrl'	'NoCue'	'Inc'	   494.7
'19'	'Ctrl'	'Cent'	        'Neut'	   393.5
'19'	'Ctrl'	'Cent' 	'Cong'   393.9
'19'	'Ctrl'	'Cent'	        'Inc'	   482.2
'19'	'Ctrl'	'Double'	'Neut'	   368.6
'19'	'Ctrl'	'Double'	'Cong'   384.2
'19'	'Ctrl'	'Double'	'Inc'	   477.8
'19'	'Ctrl'	'Spatial'	'Neut'	   344.0
'19'	'Ctrl'	'Spatial'	'Cong'   339.6
'19'	'Ctrl'	'Spatial'	'Inc'	   392.7
'20'	'Ctrl'	'NoCue'	'Neut'	   412.5
'20'	'Ctrl'	'NoCue'	'Cong'   424.3
'20'	'Ctrl'	'NoCue'	'Inc'	   488.2
'20'	'Ctrl'	'Cent'	        'Neut'   372.9
'20'	'Ctrl'	'Cent' 	'Cong'   393.0
'20'	'Ctrl'	'Cent'	        'Inc'	   475.3
'20'	'Ctrl'	'Double'	'Neut'	   384.2
'20'	'Ctrl'	'Double'	'Cong'   366.5
'20'	'Ctrl'	'Double'	'Inc'	   460.0
'20'	'Ctrl'	'Spatial'	'Neut'	   338.1
'20'	'Ctrl'	'Spatial'	'Cong'   372.3
'20'	'Ctrl'	'Spatial'	'Inc'	   418.3

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	vre.aston.ac.uk @ 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 & 2 seconds \tabularnewline
R Server & vre.aston.ac.uk @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=118102&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]vre.aston.ac.uk @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=118102&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=118102&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	2 seconds
R Server	vre.aston.ac.uk @ vre.aston.ac.uk

Parameters (Session):

par1 = 5 ; par2 = 3 ; par3 = 4 ; par4 = 2 ; par5 = 1 ;

Parameters (R input):

par1 = 5 ; par2 = 3 ; par3 = 4 ; par4 = 2 ; par5 = 1 ;

R code (references can be found in the software module):

cat1 <- as.numeric(par1) #
cat2<- as.numeric(par2) #
cat3 <- as.numeric(par3)
cat4 <-as.numeric(par4)
cat5 <-as.numeric(par5)
x <- t(x)
x1<-as.numeric(x[,cat1])
wf1<-as.character(x[,cat2])
wf2 <- as.character(x[,cat3])
bf1 <- as.character(x[,cat4])
sid<- as.character(x[,cat5]) # author of ez changed within subjects variable name from sid to wid
xdf<-data.frame(x1,wf1, wf2, bf1, sid)
(V1<-dimnames(y)[[1]][cat1])
(V2<-dimnames(y)[[1]][cat2])
(V3 <-dimnames(y)[[1]][cat3])
(V4 <-dimnames(y)[[1]][cat4])
(V5 <-dimnames(y)[[1]][cat5])
names(xdf)<-c(V1, V2, V3, V4, V5)
library(ez)
library(Cairo)
(ezout <- ezANOVA(data=xdf, dv=.(mean_rt), wid=.(sid), within=.(cue, flanker), between=.(group) ) )
load(file='createtable')
a<-table.start()
nr <- nrow(ezout$ANOVA)
nc <- ncol(ezout$ANOVA)
a<-table.row.start(a)
a<-table.element(a,'Repeated Measures ANOVA', nc+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'effect', 1,TRUE)
a<-table.element(a,'Dfn',1,TRUE)
a<-table.element(a,'DFd', 1,TRUE)
a<-table.element(a, 'F', 1,TRUE)
a<-table.element(a,'p', 1,TRUE)
a<-table.element(a,'p<0.05', 1,TRUE)
a<-table.element(a, 'ges', 1,TRUE) # generalized eta-sq - was partial eta-sq in earlier version
a<-table.row.end(a)
for ( i in 1:nr){
a<-table.row.start(a)
a<-table.element(a,ezout$ANOVA$Effect[i], 1, TRUE)
for(j in 2:nc){
if ( j != 6) # author of ez reduced number of columns in output from 8
a<-table.element(a,round(ezout$ANOVA[[j]][i], digits=3), 1, FALSE)
else a<-table.element(a, ezout$ANOVA[[j]][i], 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
nr <- nrow(ezout$Mauchly)
nc <- ncol(ezout$Mauchly)
a<-table.row.start(a)
a<-table.element(a,'Mauchlys Test for Sphericity', nc+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'effect', 1,TRUE)
a<-table.element(a,'W',1,TRUE)
a<-table.element(a,'p', 1,TRUE)
a<-table.element(a,'p<0.05', 1,TRUE)
a<-table.row.end(a)
for ( i in 1:nr){
a<-table.row.start(a)
a<-table.element(a,ezout$Mauchly$Effect[i], 1, TRUE)
for(j in 2:nc){
if (j != 4)
a<-table.element(a,round(ezout$Mauchly[[j]][i], digits = 3), 1, FALSE)
else
a<-table.element(a,ezout$Mauchly[[j]][i], 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
nr <- nrow(ezout$Spher)
nc <- ncol(ezout$Sphe)
a<-table.row.start(a)
a<-table.element(a,'Sphericity Corrections', nc+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'effect', 1,TRUE)
a<-table.element(a,'GGe',1,TRUE)
a<-table.element(a,'p[GG]', 1,TRUE)
a<-table.element(a,'p[GG]<0.05', 1,TRUE)
a<-table.element(a,'HFe', 1,TRUE)
a<-table.element(a,'p[HF]', 1,TRUE)
a<-table.element(a,'p[HF]<0.05', 1,TRUE)
a<-table.row.end(a)
for ( i in 1:nr){
a<-table.row.start(a)
a<-table.element(a,ezout$Spher$Effect[i], 1, TRUE)
for(j in 2:nc){
if ( ! ((j == 4) | (j == 7)) )
a<-table.element(a,round(ezout$Spher[[j]][i], digits=3), 1, FALSE)
else
a<-table.element(a,ezout$Spher[[j]][i], 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
ezP.between<-ezPlot(data = xdf, dv = .(mean_rt), between = .(group), wid = .(sid), do_lines=FALSE, x_lab='group', y_lab='RT' , x=.(group))
bitmap(file = 'between.cairo')
print(ezP.between)
dev.off()
ezstats_between<-ezStats(data = xdf, dv = .(mean_rt), between =.(group),  wid = .(sid))
a<-table.start()
nr <- nrow(ezstats_between)
nc <- ncol(ezstats_between)
a<-table.row.start(a)
a<-table.element(a,'Between Effects Comparisons', nc+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
for(i in 1:nc){
a<-table.element(a, names(ezstats_between)[i], 1,TRUE)
}
a<-table.row.end(a)
for ( i in 1:nr){
a<-table.row.start(a)
a<-table.element(a,ezstats_between[[1]][i], 1, TRUE)
for(j in 2:nc){
a<-table.element(a,ezstats_between[[j]][i], 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable3.tab')
ezP.within<-ezPlot(data = xdf, dv = .(mean_rt), within = .(cue, flanker), wid = .(sid), do_lines=TRUE, x_lab='flanker', y_lab='RT' , x=.(flanker), split=.(cue), split_lab = 'cue')
bitmap(file = 'within.cairo')
print(ezP.within)
dev.off()
ezstats_within <- ezStats(data = xdf, dv = .(mean_rt), within = .(cue, flanker),  wid = .(sid))
a<-table.start()
nr <- nrow(ezstats_within)
nc <- ncol(ezstats_within)
a<-table.row.start(a)
a<-table.element(a,'Within Effects Comparisons', nc+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
for(i in 1:nc){
a<-table.element(a, names(ezstats_within)[i], 1,TRUE)
}
a<-table.row.end(a)
for ( i in 1:nr){
a<-table.row.start(a)
a<-table.element(a,ezstats_within[[1]][i], 1, TRUE)
for(j in 2:nc){
a<-table.element(a, ezstats_within[[j]][i], 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
-SERVER-vre.aston.ac.uk

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code