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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_Mixed Model ANOVA.wasp

Title produced by software

Mixed Within-Between Two-Way ANOVA

Date of computation

Mon, 17 Nov 2014 18:11:50 +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/2014/Nov/17/t14162479357mjjx4ftn51qq35.htm/, Retrieved Sun, 19 May 2024 13:22:16 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=255693, Retrieved Sun, 19 May 2024 13:22:16 +0000

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Original text written by user:

regression linear

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

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

-     [Chi Square Measure of Association- Free Statistics Software (Calculator)] [One Way ANOVA wit...] [2009-11-29 13:09:19] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   PD  [Chi Square Measure of Association- Free Statistics Software (Calculator)] [One Way ANOVA for...] [2009-12-01 13:05:10] [3fdd735c61ad38cbc9b3393dc997cdb7]
- R P     [Chi Square Measure of Association- Free Statistics Software (Calculator)] [CARE date with Tu...] [2009-12-01 18:33:48] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [CARE Data with Tu...] [2010-11-23 12:09:38] [3fdd735c61ad38cbc9b3393dc997cdb7]
- RM          [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [IQ and Mothers Age] [2011-11-21 16:34:08] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RM D          [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [workshop 5 q1] [2014-11-17 17:11:46] [a91ace8782d186af36a1ef4124b46fc7]
- RMPD            [Mixed Within-Between Two-Way ANOVA] [workshop 5 q1] [2014-11-17 17:50:34] [a91ace8782d186af36a1ef4124b46fc7]
- R  D                [Mixed Within-Between Two-Way ANOVA] [workshop 5 q1] [2014-11-17 18:11:50] [e39fc68391dbe44b410b5b37ff76fe51] [Current]

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Dataseries X:

Download CSV

Histogram

Boxplots

1	86	6	36	88
3	86	8	56	94
3	103	8	48	90
3	74	7	32	73
1	63	5	44	68
2	82	7	39	80
3	93	8	34	86
3	77	9	41	86
2	111	9	50	91
1	71	3	39	79
1	103	9	62	96
3	89	7	52	92
3	75	9	37	72
3	88	8	50	96
1	84	6	41	70
3	85	7	55	86
3	70	8	41	87
3	104	9	56	88
2	88	7	39	79
2	77	6	52	90
1	77	8	46	95
1	72	7	44	85
3	83	8	41	90
1	110	9	50	115
1	91	9	50	84
3	80	7	44	79
1	91	4	52	94
2	86	7	54	97
3	85	7	44	86
2	107	9	52	111
2	93	7	37	87
3	87	9	52	98
1	84	10	50	87
3	73	5	36	68
3	84	6	50	88
1	86	9	52	82
2	99	9	55	111
1	75	8	31	75
1	87	6	36	94
2	79	6	49	95
1	82	5	42	80
1	95	8	37	95
3	84	8	41	68
2	85	5	30	94
2	95	6	52	88
1	63	9	30	84
1	85	4	44	101
1	86	8	66	98
2	75	9	48	78
3	98	7	43	109
3	71	7	57	102
3	63	6	46	81
3	71	9	54	97
2	84	9	48	75
2	81	8	48	97
3	79	6	62	101
3	63	10	58	101
2	93	8	58	95
2	92	7	62	95
3	83	8	46	95
2	80	3	34	90
3	111	8	66	107
3	92	10	52	92
2	79	7	55	86
2	69	5	55	70
3	83	10	57	95
3	80	5	56	96
2	91	8	55	91
1	97	9	56	87
2	85	6	54	92
2	85	9	55	97
2	99	8	46	102
2	67	5	52	91
3	87	8	32	68
2	68	3	44	88
3	81	7	46	97
1	80	8	59	90
3	93	10	46	101
3	93	9	46	94
1	102	10	54	101
1	104	9	66	109
2	90	8	56	100
1	85	8	59	103
3	92	8	57	94
1	82	9	52	97
3	85	4	48	85
2	89	6	44	75
3	77	7	41	77
1	79	4	50	87
1	76	9	48	78
2	101	7	48	108
3	81	8	59	97
3	89	8	46	106
1	81	7	54	107
2	77	7	55	95
2	95	9	54	107
3	85	8	59	115
3	81	8	44	101
1	76	9	54	85
3	93	9	52	90
3	104	10	66	115
3	89	7	44	95
2	76	8	57	97
3	77	5	39	112
3	71	9	60	97
3	79	8	45	77
3	89	7	41	90
1	81	8	50	94
3	99	8	39	103
1	81	7	43	77
3	84	6	48	98
3	85	7	37	90
3	111	7	58	111
2	78	6	46	77
3	111	6	43	88
2	78	7	44	75
3	87	9	34	92
2	92	6	30	78
2	93	10	50	106
2	70	4	39	80
3	84	8	37	87
3	75	7	55	92
3	85	5	39	86
3	87	9	36	85
2	75	8	43	90
1	103	9	50	101
3	86	8	55	94
3	77	8	43	86
3	74	9	60	86
2	74	8	48	90
1	76	9	30	75
3	83	7	43	86
3	101	6	39	91
3	83	8	52	97
2	92	6	39	91
3	74	5	39	70
2	87	3	56	98
3	71	6	59	96
3	79	8	46	95
2	83	7	57	100
3	80	8	50	95
3	90	6	54	97
3	80	9	50	97
3	96	9	60	92
1	109	10	59	115
3	98	7	41	88
2	85	5	48	87
3	83	8	59	100
3	86	9	60	98
1	72	8	56	102
3	75	4	51	96

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	'Gertrude Mary Cox' @ cox.wessa.net
R Engine error message	Error in ezANOVA_main(data = data, dv = dv, wid = wid, within = within, : "mean_rt" is not a variable in the data frame provided. Calls: ezANOVA -> ezANOVA_main Execution halted

\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
R Engine error message & Error in ezANOVA_main(data = data, dv = dv, wid = wid, within = within,  : 
  "mean_rt" is not a variable in the data frame provided.
Calls: ezANOVA -> ezANOVA_main
Execution halted
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=255693&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[ROW][C]R Engine error message[/C][C]Error in ezANOVA_main(data = data, dv = dv, wid = wid, within = within,  : 
  "mean_rt" is not a variable in the data frame provided.
Calls: ezANOVA -> ezANOVA_main
Execution halted
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=255693&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=255693&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	'Gertrude Mary Cox' @ cox.wessa.net
R Engine error message	Error in ezANOVA_main(data = data, dv = dv, wid = wid, within = within, : "mean_rt" is not a variable in the data frame provided. Calls: ezANOVA -> ezANOVA_main Execution halted

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code