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Generate Johnson-Neyman Data

Source: R/gen_data_jn.R
gen_data_jn.Rd

Generate Johnson-Neyman Data

Usage

gen_data_jn(data, ci = 0.95)

Arguments

data

A data.frame that is the output of tidy_es() on a glht object.

ci

Confidence interval (0, 1). Default is 0.95.

Value

A data.frame of class c("jn_df", "data.frame") containing:

  • x: Values of the primary moderator (mapped to the x-axis).

  • group: Values of the secondary moderator, if any.

  • facet: Values of the tertiary moderator, if any.

  • predicted: Simple slope estimate.

  • std.error: Standard error of the slope.

  • df: Degrees of freedom.

  • statistic: t-statistic.

  • p.value: p-value.

  • conf.low: Lower bound of the slope confidence interval.

  • conf.high: Upper bound of the slope confidence interval.

  • sig: Logical indicating whether the slope is significant (p.value < 1 - ci).

See also

Other contrast or COPE helpers: check_contrast_orthogonality(), gen_contrast_blank(), gen_contrast_ss(), plot.jn_df(), tidy_es_cope_F(), tidy_es_cope_t()

Examples

fit1 <- lm(salary ~ yrs.since.phd * yrs.service, data = carData::Salaries)
c1 <- gen_contrast_ss(
  fit1,
  x = "yrs.since.phd",
  m = list(yrs.service = "real")
)
fit_cope1 <- multcomp::glht(fit1, linfct = c1)
df_cope_coef1 <- tidy_es(fit_cope1)
df_cope_jn1 <- gen_data_jn(df_cope_coef1)
plot(df_cope_jn1)