sum_if: Sum Conditional on Minimum Frequency of Observed Values
In quest: Prepare Questionnaire Data for Analysis

Description Usage Arguments Value See Also Examples

sum_if calculates the sum of a numeric or logical vector conditional on a specified minimum frequency of observed values. If the amount of observed data is less than (or equal to) ov.min, then NA is returned rather than the sum.

1	sum_if(x, impute = TRUE, ov.min = 1, prop = TRUE, inclusive = TRUE)

`x`	numeric or logical vector.
`impute`	logical vector of length 1 specifying if missing values should be imputed with the mean of observed values of `x`. If TRUE (default), this will make sums over the same vectors with different amounts of missing data comparable.
`ov.min`	minimum frequency of observed values required. If `prop` = TRUE, then this is a decimal between 0 and 1. If `prop` = FALSE, then this is a integer between 0 and `length(x)`.
`prop`	logical vector of length 1 specifying whether `ov.min` should refer to the proportion of observed values (TRUE) or the count of observed values (FALSE).
`inclusive`	logical vector of length 1 specifying whether the sum should be calculated (rather than NA) if the frequency of observed values is exactly equal to `ov.min`.

numeric vector of length 1 providing the sum of x or NA conditional on if the frequency of observed data is greater than (or equal to) ov.min.

sum mean_if make.fun_if

sum_if(x = airquality[[1]], ov.min = .75) # proportion of observed values
sum_if(x = airquality[[1]], ov.min = 116,
   prop = FALSE) # count of observe values
sum_if(x = airquality[[1]], ov.min = 116, prop = FALSE,
   inclusive = FALSE) # not include ov.min value itself
sum_if(x = c(TRUE, NA, FALSE, NA),
   ov.min = .50) # works with logical vectors as well as numeric