ss_mean | R Documentation |
Computes the mean 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.
ss_mean(
data,
name,
vars,
max_na = NULL,
exclude = NULL,
events = NULL,
combine = TRUE
)
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). |
tbl. The input data frame with the summary score appended as a new column.
data <- tibble::tribble(
~session_id, ~a, ~b, ~c, ~d, ~e,
"ses-00A", 1, 1, 1, 1, NA,
"ses-01A", 2, 777, 2, 2, 2,
"ses-02A", 3, 3, 999, 3, 3,
"ses-02A", 4, 4, 4, 777, NA,
"ses-03A", 5, NA, 777, 999, 5,
"ses-03A", NA, NA, NA, NA, NA,
"ses-04A", 1, NA, NA, NA, NA
)
data |>
ss_mean(
name = "mean",
vars = c("a", "b", "c", "d", "e"),
max_na = 1,
exclude = c("777", "999")
)
data |>
ss_mean(
name = "mean",
vars = c("a", "b", "c", "d", "e"),
max_na = 1,
exclude = c("777", "999"),
combine = FALSE
)
data |>
ss_mean(
name = "mean",
vars = c("a", "b", "c", "d", "e"),
max_na = NULL,
exclude = NULL,
events = c("ses-00A", "ses-01A"),
)
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