ggdmc (version 0.2.5.2)

censor: Censor missing values and RT outliers

Description

censor requests a data frame minimally with three columns, indicating stimulus (S factor), response (R factor) and response time (RT).

Usage

censor(x, xlim = c(0, Inf))

Arguments

x

a data frame

xlim

the lower and upper censoring boundaries

Examples

# NOT RUN {
model <- BuildModel(
        p.map     = list(a = "1", v = "1", z = "1", d = "1", t0 = "1",
                    sv = "1", sz = "1", st0 = "1"),
        constants = c(st0 = 0, d = 0, sz = 0, sv = 0),
        match.map = list(M = list(s1 = "r1", s2 = "r2")),
        factors   = list(S = c("s1", "s2")),
        responses = c("r1", "r2"),
        type      = "rd")
p.vector <- c(a = 1, v = 1, z = 0.5, t0 = .15)
dat <- simulate(model, 100, ps = p.vector)
dmi <- BuildDMI(dat, model)

## Trim off RTs below .05 and above 10 s
censored_data <- censor(dat, xlim = c(.05, 10))
# }