
Inf
and -Inf
) or NaN
values with regular NA
.
zap_inf(x, ...)
x
is a data frame and no vector, or if only selected variables
from x
should be used in the function. See 'Examples'.x
, where all Inf
, -Inf
and NaN
are converted to NA
.
x <- c(1, 2, NA, 3, NaN, 4, NA, 5, Inf, -Inf, 6, 7)
zap_inf(x)
data(efc)
# produce some NA and NaN values
efc$e42dep[1] <- NaN
efc$e42dep[2] <- NA
efc$c12hour[1] <- NaN
efc$c12hour[2] <- NA
efc$e17age[2] <- NaN
efc$e17age[1] <- NA
# only zap NaN for c12hour
zap_inf(efc$c12hour)
# only zap NaN for c12hour and e17age, not for e42dep,
# but return complete data framee
zap_inf(efc, c12hour, e17age)
# zap NaN for complete data frame
zap_inf(efc)
Run the code above in your browser using DataLab