Description Usage Arguments Examples
Plots item characteristic curves given alpha, delta, and tau parameters.
| 1 2 3 4 | 
| a | A numeric vector of alpha parameters | 
| d | A numeric vector of delta parameters | 
| t | Either a list of numeric vectors for the tau parameters for each option, or a numeric vector if the IRF for only one item is desired – note the first element of each vector should be zero | 
| from | A numeric vector of length one, the lowest theta value to estimate response probabilities for; default is -3 | 
| to | A numeric vector of length one, the highest theta value to estimate response probabilities for; default is 3 | 
| by | A numeric vector of length one giving the spacing between theta values; default is 0.01 | 
| layout_matrix | An integer matrix dictating the layout of the plot; the default is a one-column matrix with one element for each item | 
| main_title | A character vector giving the plots' main titles; default is "Item Characteristic Curve". | 
| sub | An optional character vector of subtitles for the resulting plots, to be pasted onto the main title (helpful for titling individual plots when plotting multiple items' ICCs). | 
| color | The color to plot the ICC line in; default is "black" | 
| plot_responses | A logical vector of length one specifying whether to draw points at the theta estimates of actual responses; default is FALSE | 
| thetas | An optional vector of theta estimates for response drawing;
if  | 
| responses | An optional matrix or vector (if the ICC for only one item
is desired) of responses; if  | 
| response_color | The color to plot the response points when
 | 
| 1 2 3 4 5 6 7 8 9 10 11 | ## We'll simulate data to use for these examples:
set.seed(123)
sim_data <- ggum_simulation(100, 10, 4)
## You can plot the ICC for one item:
icc(sim_data$alpha[1], sim_data$delta[1], sim_data$tau[[1]])
## Or multiple items:
icc(sim_data$alpha[1:2], sim_data$delta[1:2], sim_data$tau[1:2], sub = 1:2)
## You can also plot the actual responses over the expected response line:
icc(sim_data$alpha[1], sim_data$delta[1], sim_data$tau[[1]],
    plot_responses = TRUE, responses = sim_data$response_matrix[ , 1],
    thetas = sim_data$theta)
 | 
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