Reshape multiple categorical variables to binary response variables

How much spice is too much? Here is a solution via tidyr:

library(dplyr)
library(tidyr)

mydata %>%
  gather(actor,name,starts_with("actor")) %>%
  mutate(present = 1) %>%
  select(-actor) %>%
  spread(name,present,fill = 0)

       movie Jack Kate Leo
 1 Departed    1    0   1
 2  Titanic    0    1   1

One way to reshape your data.frame is with the reshape2 package, using melt and dcast. For example:

library(reshape2)
long.mydata <- melt(mydata, id.vars = "movie")
wide.mydata <- dcast(long.mydata, movie ~ value, function(x) 1, fill = 0)

Pay attention to the fun.aggregate and fill parameters in dcast, which control what goes to fill in the interior after casting.