jdFact <- read.table("data/jd-factorized.txt")
Both packages are already installed, so they can be loaded with
For example, if we want to convert the object task columns to a tidyr format:
jdTidy <- tidyr::gather( jdFact[c(1, 10:ncol(jdFact))] , key = "Complexity" , value = "ObjectAve" , ObjectsSimpleAve , ObjectComplexAve )
Here are some things to try out:
t.testto do a one- or two-sample t-test
aovto do an ANOVA
linesfunctions to spice up your graphs
You should be able to figure these functions out with the information we've covered!
# Enter your code here!