plot_slopes: Visualize response-contingency slopes
In durkeepk/sloper: Compute, extract, and visualize response-contingency slopes

Description Usage Arguments Value Examples

Visualize response-contingency slopes

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plot_slopes(data = NULL, r_id = "r_id", response = "response",
  contingency = "contingency", xname = NULL, yname = NULL,
  groupfactor = NULL, gflevels = NULL, linear = T)

`data`	data to use for plotting
`r_id`	column of rater idenitfiers
`response`	column of responses (y-axis)
`contingency`	column containing values that ratings are contingent on (x-axis)
`xname`	custom name for x-axis
`yname`	custom name for y-axis
`groupfactor`	factor/grouping variable (color and linetype)
`gflevels`	vector of custom labels for factor levels
`linear`	logical argument indicating whether to plot linear function or nonlinear

plot of the individual slopes and overall slope

# plot_slopes(sloper_exdat, response = "strength_rating", contingency = "t_measured_strength",
#            yname = "Stregth Rating", xname = "Target Strength",
#            groupfactor = "ratersex", linear = F, gflevels = c("Men", "Women"))
# plot_slopes(sloper_exdat, response = "strength_rating", contingency = "t_measured_strength")

durkeepk/sloper documentation built on May 17, 2019, 10 a.m.