detect_scales: Detect item scales

In codebook: Automatic Codebooks from Metadata Encoded in Dataset Attributes

Description

Did you create aggregates of items like this scale <- scale_1 + scale_2R + scale_3R? If you run this function on a dataset, it will detect these relationships and set the appropriate attributes. Once they are set, the codebook package can perform reliability computations for you.

Did you create aggregates of items like this scale <- scale_1 + scale_2R + scale_3R? If you run this function on a dataset, it will detect these relationships and set the appropriate attributes. Once they are set, the codebook package can perform reliability computations for you.

Usage

detect_scales(data, quiet = FALSE)

detect_scales(data, quiet = FALSE)

Arguments

data	the data frame
quiet	defaults to false. Suppresses messages about found items.

Examples

bfi <- data.frame(matrix(data = rnorm(500), ncol = 5))
names(bfi) <- c("bfi_e1", "bfi_e2R", "bfi_e3", "bfi_n1", "bfi_n2")
bfi$bfi_e <- rowMeans(bfi[, c("bfi_e1", "bfi_e2R", "bfi_e3")])
bfi <- detect_scales(bfi)
bfi$bfi_e
bfi <- data.frame(matrix(data = rnorm(500), ncol = 5))
names(bfi) <- c("bfi_e1", "bfi_e2R", "bfi_e3", "bfi_n1", "bfi_n2")
bfi$bfi_e <- rowMeans(bfi[, c("bfi_e1", "bfi_e2R", "bfi_e3")])
bfi <- detect_scales(bfi)
bfi$bfi_e

codebook documentation built on July 1, 2020, 10:28 p.m.