summary.lmestData: Summary and plot of 'lmestData'

In LMest: Generalized Latent Markov Models

Summary and plot of lmestData

Description

Methods for lmestData object providing basic descriptive statistics (summary) and plots.

Usage

## S3 method for class 'lmestData'
summary(object, type = c("all","cross", "year"),
        dataSummary = c("all", "responses", "manifest", "initial", "transition"),
        varType = rep("c", x$d), digits = getOption("digits"),
        maxsum = 10, maxobs = 20, ...)
## S3 method for class 'lmestData'
plot(x, typePlot = c("s", "sh"),
     dataPlots = c("all", "responses", "manifest", "initial", "transition"),
        ...)
## S3 method for class 'lmestData'
print(x, ...)

Arguments

object	an object of class lmestData
x	an object of class lmestData
type	type of summary to print. all prints a summary for each varaible, and a summary for each variables by time. cross prints a summary for each variable. year prints a summary for each variable by time. The summary is adapted according to varType (By default is set to all)
dataSummary	a string indicating whether summary is returned: all for the entire data, responses for the responses, manifest for covariates on the manifest distribution, initial for the covariate affecting the initial probabilities, and transition for the covariates affecting the transition probabilities. (By default is set to all)
varType	a string vector of lengh equal to the number of variables, "c" for continuous and "d" for discrete, indicating wich varaibles are continuos and which are discrete
digits	the number of significant digits
maxsum	an integer value indicating the maximum number of levels to print
maxobs	an integer value indicating the maximun number of observation in which the summary statistics are reported for each observation
typePlot	a string indicating the type of plot. "s" plots a scaterplot matrix. "sh" plots a scatterplot matrix with the histogram for each variable in the diagonal
dataPlots	a string indicating whether the plot is returned: all for the entire data, responses for the responses, manifest for covariates on the manifest distribution, initial for the covariate affecting the initial probabilities, transition for the covariates affecting the transition probabilities. (By default is set to all)
...	further arguments

Author(s)

Francesco Bartolucci, Silvia Pandolfi, Fulvia Pennoni, Alessio Farcomeni, Alessio Serafini

LMest documentation built on Aug. 27, 2023, 5:06 p.m.