consensus: Consensus for an item
In kthorstmann/consr: Compute Consensus For Likert Scales

Description Usage Arguments Details Value Examples

Compute the consensus for an item, based on Tastle & Wiermann, (2006).

1	consensus(item, range = NULL, consensus.only = FALSE, round = 2)

`item`	The item that should be analyzed.
`range`	The range of the item indicating the valid values. Default is `NULL`.
`consensus.only`	Logical, if only the consensus should be reported. Default is to `FALSE`.
`round`	The number of digits to round the result to. Default is to 2.

n: The number of valid answers on that item
min: The minimum answer on that item
max: The maximum answer on that item
consensus: The consensus
dissensus: The dissensus
n_missing: The absolute number of missing values on that item, defined as NA
perc_missing: The relative number of missing values on that item, defined as NA

Returns an data frame with the consensus and additional information for each item. See details for further explanation.

item <- c(rep(1, 19), rep(2, 8), rep(3, 26), rep(4, 29),
          rep(5, 5), rep(NA, 5), rep(-2, 4), rep(-3, 4))
consensus(item, range = c(1, 5), round = 4)
## or the original example from the article:
item <- c(rep(1, 19), rep(2, 16), rep(3, 26), rep(4, 29), rep(5, 10))
consensus(item, range = c(1, 5), round = 3)