Try this:
library(reshape)
accuracy <- structure(list(Subject = c(101L, 102L, 103L, 104L, 105L, 106L
), CircleBlue = c(95L, 80L, 80L, 85L, 70L, 70L), CircleRed = c(100L,
90L, 70L, 80L, 75L, 75L), CircleGreen = c(100L, 100L, 95L, 100L,
95L, 75L), SquareBlue = c(95L, 85L, 90L, 90L, 70L, 40L), SquareRed =
c(100L,
90L, 100L, 90L, 75L, 60L), SquareGreen = c(100L, 100L, 100L, 90L,
85L, 85L), TriangleBlue = c(60L, 55L, 65L, 65L, 60L, 40L), TriangleRed =
c(80L,
45L, 60L, 50L, 40L, 35L), TriangleGreen = c(75L, 45L, 55L, 50L, 45L,
50L)), .Names = c("Subject", "CircleBlue", "CircleRed", "CircleGreen",
"SquareBlue", "SquareRed", "SquareGreen", "TriangleBlue", "TriangleRed",
"TriangleGreen"), row.names = c(NA, 6L), class = "data.frame")
tmp1 <- melt( accuracy, id="Subject" )
colnames( tmp1 ) [ which( colnames( tmp1 ) == "value" ) ] <- "Accuracy"
keys <- data.frame( variable = levels( tmp1$variable )
, Shape=rep( c( "Circle", "Square", "Triangle" ), each=3 )
, Color=rep( c( "Blue", "Red", "Green" ), times=3 )
)
tmp2 <- merge( tmp1, keys )
accuracym <- tmp2[ , c("Accuracy", "Subject", "Shape", "Color") ]
On Sat, 17 Jul 2010, John L. Woodard wrote:
Hi Tal,
Here is the output as you requested:
structure(list(Subject = c(101L, 102L, 103L, 104L, 105L, 106L
), CircleBlue = c(95L, 80L, 80L, 85L, 70L, 70L), CircleRed = c(100L,
90L, 70L, 80L, 75L, 75L), CircleGreen = c(100L, 100L, 95L, 100L,
95L, 75L), SquareBlue = c(95L, 85L, 90L, 90L, 70L, 40L), SquareRed =
c(100L,
90L, 100L, 90L, 75L, 60L), SquareGreen = c(100L, 100L, 100L, 90L,
85L, 85L), TriangleBlue = c(60L, 55L, 65L, 65L, 60L, 40L), TriangleRed =
c(80L,
45L, 60L, 50L, 40L, 35L), TriangleGreen = c(75L, 45L, 55L, 50L, 45L,
50L)), .Names = c("Subject", "CircleBlue", "CircleRed", "CircleGreen",
"SquareBlue", "SquareRed", "SquareGreen", "TriangleBlue", "TriangleRed",
"TriangleGreen"), row.names = c(NA, 6L), class = "data.frame")
Regarding the ANOVA, OK--I see it now (I was looking for the words
"Repeated Measures", which weren't there...). I didn't notice the
example till I ran each one. It looks like a great program, though I'll
have to figure out the reshape issue before I can use ezANOVA. Many
thanks for your help!
John
John L. Woodard, Ph.D.
Associate Professor of Psychology
Wayne State University
5057 Woodward Ave., 7th Floor
Detroit, MI 48202
Voice: 313-577-5838
Fax: 313-577-7636
e-mail: john.wood...@wayne.edu
On 7/17/10 2:40 PM, Tal Galili wrote:
Hi John,
Try posting a sample of your data in reply to this e-mail by using:
dput(head(accuracy))
And me (or someone else) will be sure to fix your command.
Regarding the ANOVA, read more :)
Tal
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On Sat, Jul 17, 2010 at 8:03 PM, jlwoodard <john.wood...@wayne.edu
<mailto:john.wood...@wayne.edu>> wrote:
Tal,
Thanks for the information.
I actually did read through the help for the reshape package,
though being
relatively new to R, I don't quite understand the ins and outs of the
command.
I tried using the melt command:
x<-melt(accuracy,id='Subject')
but, it didn't give me anything different than the stacked
command. I'm
trying to get two columns to indicate the Shape and Color.
Thanks also for this information on ezANOVA. It looks very promising,
though I didn't see an example of repeated measures ANOVA in the
help file.
Best regards,
John
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