Created
December 6, 2012 02:03
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r_code_for_ident_data
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# A couple things about this script... | |
# All text that comes after a "#" sign implies a comment that will not | |
# be evaluated by R. All you need to do is copy and paste the contents | |
# of this script into R and it will perform an ANOVA and make a graph. | |
# It is important that your data (in your data file from the hw) are | |
# in the correct format. You need to have the following headers for | |
# each column: "participant", "ending", "stimulus", "proportion". | |
# Check the example file "tarea5.txt" if you need to compare. | |
# The following command reads the data file into R. | |
# Make sure you put the full path to the file specific to your system. | |
# It also creates a variable called "ident" because we are looking at | |
# identification data | |
ident = read.delim("/Users/casillas/Desktop/tarea5/tarea5.txt") | |
# This will summarize the data in the R console. | |
# It is a good idea to do this to make sure there are no errors. | |
summary(ident) | |
# Attach the data you just loaded so that you can perform statistical analysis | |
# and make graphs | |
attach(ident) | |
# Perform a within subjects ANOVA on the data. | |
# For this specific assignment you are looking for a significant interaction | |
aov.ident=aov(proportion ~ stimulus * ending+Error(participant/stimulus), data = ident) | |
summary(aov.ident) | |
# This code creates an interaction plot with the data (la curva sigmoidal). | |
# You can change the X and Y labels how you see fit. | |
interaction.plot(stimulus, ending, jitter(proportion,1), xlab="Estímulo", ylab="%ba") |
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