r - Converting a vector with numerical and NA values to a vector with binary values -

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i want convert vector negative values (-inf,0] , na 0 , positive values (0,inf) same new vector binary variables in r use in logistic regression.

more specifically, data set med consists of matrix vector can retrieved med$amount_total. vector consists of numbers ranging -10,000 100,000 na values. want convert these vector 0s in place of negative, 0 , na values , convert positive values 1s use in glm (logistic regression model) i'm going fit other vectors in med.

example:

input <- c(50,na,-4,32,0,0,12) desired_output <- c(1,0,0,1,0,0,1)

we can try

as.integer(replace(v1, is.na(v1)|v1 < 0, 0)!=0)

or

as.integer(!(is.na(v1) | v1 <= 0)) #[1] 1 0 0 1 0 0 1

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