| betaNormTable {cNORM} | R Documentation |
Generate norm table from parametric continuous norming with Beta-Binomial Parameters
Description
This function generates a table of beta-binomial distribution properties (cumulative probabilities, density, percentiles, and z-scores) for a specified group, using alpha ('a') and beta ('b') parameters predicted by a model created with the 'betaContinuous' function.
Usage
betaNormTable(model, group, m = NULL)
Arguments
model |
A list containing the components from a 'betaContinuous' model output. |
group |
A number specifying the group variable for which predictions and subsequent beta-binomial distribution calculations are desired. |
m |
An optional stop criterion in table generation. Positive integer lower than n |
Value
A data frame with columns representing the number of successes ('x'), the probability mass function values ('Px'), cumulative probabilities ('Pcum'), percentiles ('Percentile'), and z-scores ('z') for the specified group based on the predicted 'a' and 'b' parameters.
Examples
# Determies beta parameters and models these continuously
param <- betaByGroup(elfe$raw, elfe$group, 26)
beta.model <- betaContinuous(param, 4, 4)
# Calculates table for new group
newGroup <- 3.9
betaNormTable(beta.model, newGroup)