fn_fig_fw

Fitted values multi-panel plot using facet_wrap()

Usage

fn_fig_fw(df, opacity, tint, scale, order, my_labeller)

Arguments

df

A data frame contains the following variables: independent (x) and dependent (y) variables, the fitted variable (fitt), a weighted variable (wi), and additional details including the weights (wi), fitted values (fitt), residuals (ei), and the scale.

opacity

A numeric value for the alpha aesthetic used to control the transparency of elements in a plot.

tint

A vector that specifies the palette colors used to color the points.

scale

A numeric vector that defines the thresholds for coloring the points.

order

A vector determines the sequence of the plots.

my_labeller

Transforms objects to labeller functions. Used internally by labeller().

Value

A customized multi-panel plot that uses a color scale for the residual points.

Details

The fitted values of the models for a landed presentation category were displayed as a multi-panel plot using the `fn_fig_fw()` function. The observed data points for each fitted relationship were categorized according to a weighted color scale.

Since the parameters contain subscripts, the labels were customized using the `ggplot2::as_labeller()` function and are stored in `my_labeller`.

See also

ggplot2::scale_colour_steps

ggplot2::as_labeller

forcats::fct_relevel

Examples

if (FALSE) { # \dontrun{
 df <- df
 opacity <- 1/5  # alpha
 tint <- c("#000000","#009E73", "#56B4E9")
 X_names <- c(LT_LS, WT_WS, LT_WT)
 wi_scale <- c(0, 0.249, 0.99, 1)
 my_labeller <- my_labeller

 p <- fn_fig_fw(df, opacity, tint, scale= wi_scale,
               order=X_names, my_labeller)
} # }