Standardised mean difference between a selected set and a baseline

When missing values are encoded as 0m the smd will report information on the missingness in the linked sample vs. the source.

Usage

smd(data_select, data_baseline, var, continuous = TRUE)

Arguments

data_select

Data frame to compare (e.g. the linked set vs. the original file).

data_baseline

Data frame to compare (e.g. the linked set vs. the original file).

var

Character, column name to compare.

continuous

Logical; if TRUE, compares means of var directly; if FALSE, compares the proportion at each observed level of var (default TRUE).

Value

Named list, one SMD per variable (continuous = TRUE) or per level (continuous = FALSE).

Examples

base <- data.frame(age = rnorm(200, 40, 10), sex = sample(c("M", "F"),
                    200, replace = TRUE))
select <- data.frame(age = rnorm(80, 43, 10), sex = sample(c("M", "F"), 80,
                    replace = TRUE, prob = c(0.6, 0.4)))
smd(select, base, "age")
#> $age
#> [1] 0.362068
#> 
smd(select, base, "sex", continuous = FALSE)
#> $sex_F
#> [1] -0.3641046
#> 
#> $sex_M
#> [1] 0.3641046
#>