pdpPlot: Partial Dependence Plots

In KevinSee/qRfish: Estimate carrying capacity with quantile regression forests

Description

plot the marginal effect of each covariate on the response at the selected quantiles

Usage

pdpPlot(data = NULL, mod = NULL, covariates = NULL, plot_covars = NULL,
  covar_dict = NULL, quantiles = c(0.9), n_pts = 200,
  ylab = "Prediction (fish / m)", same_y_scale = F, trans_y_scale = NULL)

Arguments

data	data.frame that was used to fit the mod
mod	object of class quantregForest returned by the function quantregForest
covariates	character vector of names of covariates to be used in QRF model
plot_covars	which covariates should be included in final plot
covar_dict	data.frame containing columns called ShortName and Name. ShortName corresponds to the covariates that went into the mod, while Name is a longer version for plotting purposes.
quantiles	which quantiles should be included on the partial dependence plots
n_pts	how many points to make predictions for
ylab	what should the y-axis label be?
same_y_scale	should plots of different covariates be on the same y-axis scale? Default is FALSE.
trans_y_scale	should y scale be transformed? Default is NULL.

Author(s)

Kevin See

Examples

pdpPlot(data = mod_data, mod = qrf_mod, covariates = hab_mets, covar_dict = hab_dict)

KevinSee/qRfish documentation built on May 8, 2019, 4:50 p.m.