Calculate the Paretian Classification of Health Change
Calculate the Paretian Classification of Health Change (PCHC) for two EQ-5D datasets.
pchc( pre, post, version = "5L", no.problems = TRUE, totals = TRUE, by.dimension = FALSE, ignore.invalid = TRUE, dimensions = .getDimensionNames() )
pre |
data.frame, numeric or character. For data.frame default column names should be MO, SC, UA, PD and AD representing Mobility, Self-care, Usual activities, Pain/discomfort and Anxiety/depression. Vector using five digit format can also be used. |
post |
data.frame, numeric or character. For data.frame default column names should be MO, SC, UA, PD and AD representing Mobility, Self-care, Usual activities, Pain/discomfort and Anxiety/depression. Vector using five digit format can also be used. |
version |
string of value "3L" or "5L" to indicate instrument version. |
no.problems |
boolean. Summarise 11111 "No change" subjects in a "No problems" group. |
totals |
boolean. Include a summary total. |
by.dimension |
boolean. Summarise results by each EQ-5D dimension rather than by the whole dataset. |
ignore.invalid |
boolean whether to ignore invalid scores. TRUE returns NA, FALSE throws an error. |
dimensions |
character vector, specifying "dimension" column names. Defaults are "MO", "SC", "UA", "PD" and "AD". |
a data.frame or list of data.frames of changes according to PCHC. contain dimensions names and rows the EQ-5D score.
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.