Responses of one participant (42 years old) to 200 randomly generated strings of length 10 from an alphabet of 6 symbols. For each string, the participant was asked to indicate whther or not the string appears random or not.

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A data.frame with 200 rows and 2 variables.

Gauvrit, Singmann, Soler-Toscano & Zenil (submitted). Complexity for psychology. A user-friendly implementation of the coding theorem method.

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# load data
data(exp2)
exp2$K <- acss(exp2$string, 6)[,"K.6"]
m_log <- glm(response ~ K, exp2, family = binomial)
summary(m_log)
# odds ratio of K:
exp(coef(m_log)[2])
# calculate threshold of 0.5
(threshold <- -coef(m_log)[1]/coef(m_log)[2])
require(effects)
require(lattice)
plot(Effect("K", m_log), rescale.axis = FALSE, ylim = c(0, 1))
trellis.focus("panel", 1, 1)
panel.lines(rep(threshold, 2), c(0, 0.5), col = "black", lwd = 2.5, lty = 3)
panel.lines(c(33,threshold), c(0.5, 0.5), col = "black", lwd = 2.5, lty = 3)
trellis.unfocus()
``` |

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