plot.fixed: Plotting Estimates, Standard Deviations and P-values of Fixed...
In nyiuab/NBZIMM: Negative Binomial and Zero-Inflated Mixed Models

plot.fixed

R Documentation

Plotting Estimates, Standard Deviations and P-values of Fixed Effects

Description

Plotting estimates, standard deviations and p-values of fixed effects.

Usage

plot.fixed(res, threshold = 0.05, main = " ", col.pts = "black", gap = 0, 
          show.all.vars = FALSE, show.pvalues = TRUE, 
          cex.main = 0.9, xlim = NULL, cex.axis = 0.8, cex.var = 0.8, cex.pts = 1, 
          pch.pts = 20, type = "p", lwd = 1, lty = 1, line = 0,  
          add = FALSE)

Arguments

`res`	A matrix of the estimates, standard deviations and p-values of fixed effects for the response or variable.
`threshold`	a p-value to determine variables to be shown: variables with p-value < `threshold`.
`col.pts`	color of points and segments, default is black. It can be a vector with two elements, which will use specified colors for different variables determined by the augument `threshold`.
`gap`	a value for the distance between two flanking significant variables.
`main, cex.main, xlim, type, lwd, lty, line`	These arguments are the same as in `plot` and `par`.
`show.all.vars`	logical. If `TRUE`,show names of all variables. The default is `FALSE`.
`show.pvalues`	logical. If `TRUE`, show p-values for variables. The default is `TRUE`. The p-values are shown on the right side of the plot.
`cex.var`	the fontsize of the varible names, default = `0.8`.
`cex.pts`	the size of points, default = `1`.
`pch.pts`	symbol of points, default is solid dot.
`add`	logical. if `TRUE`, plot over the existing plot. The default is `FALSE`.

Details

This function plots the estimates of coefficients, intervals and p-values for a response or variable. It uses different colors to distinguish between significant and insignificant variables based on a threshold.