Hello
Good evening folks.
I am trying to run a crosstabulation between two variables, but controlling for a 3rd one, and then draw a bar chart (vertical / horizontal) to display the results.
I am using a CrossTable function (part of the gmodels package) and so far, I am only able to do handle the main effects without the elaborated variable, using the following command
CrossTable (CatsDogs$Dance, CatsDogs$Training,
digits=2,
prop.c = TRUE,
prop.r = FALSE,
prop.t = FALSE,
prop.chisq=FALSE,
chisq = TRUE,
dnn=c("Dance", "Training-Foodvs Affection-1"))
Is there any way to include a 3rd variable in this code so I can see for example how the effect of training on the DV (whether an animal dances or not) depends on the animal concerned.
Here is a scratch of the data I am using - from dput:
dput(head(CatsDogs, n = 10))
structure(
list(
Animal = structure(
c(0, 0, 0, 0, 0, 0, 0, 0, 0,
0),
label = "Animal",
labels = c(Cat = 0, Dog = 1),
class = "haven_labelled"
),
Training = structure(
c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0),
label = "Type of Training",
labels = c(`Food as Reward` = 0,
`Affection as Reward` = 1),
class = "haven_labelled"
),
Dance = structure(
c(1,
1, 1, 1, 1, 1, 1, 1, 1, 1),
label = "Did they dance?",
labels = c(No = 0,
Yes = 1),
class = "haven_labelled"
)
),
row.names = c(NA,-10L),
class = c("tbl_df", "tbl", "data.frame")
)