I think you want tidyr
rather than dplyr
:
library(tidyr) library(dplyr) df %>% mutate(group = 1) %>% spread(HEADER, price) group AWAY_TEAM AWAY_TRPM HOME_TEAM HOME_TRPM 1 1 NOP -0.845186446996287 CHA 0.863104076023855
Using this, you can specify your groupings – and you can add on select(-group)
to remove them later.
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