R: Plot method for 'unitquantregs' objects

plot.unitquantregs {unitquantreg}

R Documentation

Plot method for `unitquantregs` objects

Description

Provide two type of plots for unitquantregs objects.

Usage

## S3 method for class 'unitquantregs'
plot(
  x,
  which = c("coef", "conddist"),
  output_df = FALSE,
  parm = NULL,
  level = 0.95,
  mean_effect = FALSE,
  mfrow = NULL,
  mar = NULL,
  ylim = NULL,
  main = NULL,
  col = gray(c(0, 0.75)),
  border = NULL,
  cex = 1,
  pch = 20,
  type = "b",
  xlab = bquote("Quantile level (" * tau * ")"),
  ylab = "Estimate effect",
  dist_type = c("density", "cdf"),
  at_avg = TRUE,
  at_obs = NULL,
  legend_position = "topleft",
  ...
)

Arguments

`x`	fitted model object of class `unitquantregs`.
`which`	character. Indicate the type of plot. Currently supported are `"coef"` which provide the estimated coefficients for several quantiles and `"conddist"` which provide the conditional distribution (cdf or pdf) at specific values of covariates.
`output_df`	logical. Should `data.frame` used to plot be returned?
`parm`	a specification of which parameters are to be plotted, either a vector of numbers or a vector of names. By default, all parameters are considered.
`level`	level of significance for the confidence interval of parameters.
`mean_effect`	logical. Should a line for the mean effect coefficients be added?
`mfrow`, `mar`, `ylim`, `main`, `col`, `border`, `cex`, `pch`, `type`, `xlab`, `ylab`	graphical parameters.
`dist_type`	character. Which conditional distribution should be plotted? The options are `"density"` or `"cdf"`.
`at_avg`	logical. Should consider the conditional distribution at average values of covariates?
`at_obs`	list. List with name and values for each covariate.
`legend_position`	character. The legend position argument used in `legend` function.
`...`	other parameters to be passed through to plotting functions.

Details

The plot method for unitquantregs objects is inspired in PROC QUANTREG of SAS/STAT. This plot method provide two type of visualizations.

If which = "coef" plot the estimated coefficients for several quantiles.

If which = "conddist" plot the conditional distribution at specific values of covariates. The conditional distribution could be the cumulative distribution function if dist_type = "cdf" or the probability density function if dist_type = "pdf".

Value

If output_df = TRUE then returns a data.frame used to plot. Otherwise, no return value, called for side effects.

Author(s)

André F. B. Menezes

Plot method for unitquantregs objects