ABCDscores (version 6.1.0)

ss_max: Compute max across columns

Description

Computes the max of a set of variables, with the option to exclude certain values (for non-responses like "Don't know"/"Decline to answer") and to set a maximum number of missing values.

Usage

ss_max(
  data,
  name,
  vars,
  max_na = NULL,
  exclude = NULL,
  events = NULL,
  combine = TRUE
)

Value

tbl. The input data frame with the summary score appended as a new column.

Arguments

data

tbl. Data frame containing the columns to be summarized.

name

character. The name of the summary score.

vars

character vector. The names of the columns to be summarized.

max_na

numeric, positive whole number. Number of missing items allowed (Default: NULL; no restriction on missing values).

exclude

character (vector). The value(s) to be excluded (Default: NULL; all values are used).

events

character (vector). Only compute the summary score for the specified events (Default: NULL; computed for all events).

combine

logical. Whether to combine the summary score column with the input data frame (Default: TRUE).

Examples

data <- tibble::tribble(
  ~id,    ~session_id, ~A, ~B,  ~C, ~D,
  "id1",  "1",         1,  5,   2,  NA,
  "id1",  "2",         2,  4,   NA, NA,
  "id1",  "3",         3,  3,   3,  3,
  "id1",  "4",         4,  2,   4,  2,
  "id1",  "5",         5,  1,   5,  3
)

ss_max(
  data,
  name = "summary",
  vars = c("A", "B", "C", "D")
)

ss_max(
  data,
  name = "summary",
  vars = c("A", "B", "C", "D"),
  max_na = 1,
  exclude = c("1")
)

ss_max(
  data,
  name = "summary",
  vars = c("A", "B", "C", "D"),
  max_na = 1,
  exclude = c("1"),
  events = c("4")
)