This function is very similar to
transform but it executes
the transformations iteratively so that later transformations can use the
columns created by earlier transformations. Like transform, unnamed
components are silently dropped.
the data frame to transform
named parameters giving definitions of new columns.
Mutate seems to be considerably faster than transform for large data frames.
arrange. For another somewhat different approach to
solving the same problem, see
# Examples from transform mutate(airquality, Ozone = -Ozone) mutate(airquality, new = -Ozone, Temp = (Temp - 32) / 1.8) # Things transform can't do mutate(airquality, Temp = (Temp - 32) / 1.8, OzT = Ozone / Temp) # mutate is rather faster than transform system.time(transform(baseball, avg_ab = ab / g)) system.time(mutate(baseball, avg_ab = ab / g))
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