mixdist (version 0.5-5)

mixgroup: Construct Grouped Data from Raw Data

Description

Group raw data in the form of numbers of observations over successive intervals.

Usage

mixgroup(x, breaks = NULL, xname = NULL, k = NULL, usecondit = FALSE)

Arguments

x

a data frame or matrix containing raw data, whose first column should be the measurements to be grouped, and second column, if available, includes the numbers indicating which component each individual belongs to.

breaks

one of: * a vector giving the boundaries of intervals which raw data are grouped into, * a single number giving the number of intervals, * a character string naming an algorithm to compute the number of intervals, * a function to compute the number of intervals. In the last three cases the number is a suggestion only.

xname

the name of measurement.

k

the number of components.

usecondit

if usecondit is TRUE and x has two columns, then conditional data will be displayed with grouped data.

Value

A data frame containing grouped data derived from raw data, whose first column includes the right boundaries of grouping intervals, where the first and last intervals are open-ended; whose second column consists of the frequencies which are the numbers of observations falling into each interval. If usecondit is TRUE and the numbers indicating which component the individual comes from are available, conditional data which can be regarded as a table, whose element in row j and column i is the number of observations from the jth interval belonging to the ith component, will be displayed with grouped data.

See Also

hist for more information about the argument breaks, is.mixdata for checking the class of data sets, mixparam for organizing the parameter values, mixconstr for constructing constraints.

Examples

# NOT RUN {
data(pikeraw) # load raw data `pikeraw'
pikeraw # display the data set `pikeraw'
mixgroup(pikeraw) # group raw data
pikemd <- mixgroup(pikeraw, breaks = c(0, seq(19.75, 65.75, 2), 80))
plot(pikemd)
mixgroup(pikeraw, breaks = c(0, seq(19.75, 65.75, 2), 80), usecondit = TRUE, k = 5)
# construct grouped data associated with conditional data
mixgroup(pikeraw, usecondit = TRUE)
mixgroup(pikeraw, usecondit = TRUE, k = 3) # grouping data with a warning message
mixgroup(pikeraw, usecondit = TRUE, k = 8)
# }