mean_if: Mean Conditional on Minimum Frequency of Observed Values
In quest: Prepare Questionnaire Data for Analysis

Description Usage Arguments Value See Also Examples

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

1	mean_if(x, trim = 0, ov.min = 1, prop = TRUE, inclusive = TRUE)

`x`	numeric or logical vector.
`trim`	numeric vector of length 1 specifying the proportion of values from each end of `x` to trim. Trimmed values are recoded to their endpoint for calculation of the mean. See `mean.default`.
`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 mean should be calculated if the frequency of observed values is exactly equal to `ov.min`.

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

mean.default sum_if make.fun_if

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