Plot predictions for fitted logistic regression model

Plot predictions for fitted logistic regression model

plot_IQRlogistRegressFit(
  fit,
  refValues = NULL,
  IDcol = "ID",
  xlab = NULL,
  ylab = NULL,
  ci.level = 0.95,
  SIGNIF = 4,
  filename = NULL,
  residualType = "pearson"
)

Arguments

fit

Fitted logistic regression model (glm) or IQRlogisticFit object
refValues

Reference values to which predictors are fixed when plotting predictions along range for others.
IDcol

Column name with individual subject identifiers (default: 'ID')
xlab

Label for the x-axis.
ylab

Label for the y-axis.
ci.level

confidence interval level (between 0 an 1, defaults to 0.95)
SIGNIF

Number of significant digits used for the displayed p-value.
filename

If given, PDF with plots
residualType

Type of residual used in residual diagnostic plots (can be "pearson" (default), "working", "deviance, "response", partial)

Value

List with ggplot2 objects if not printed to file. Attributes to the output argument are the data that were used for plotting.

See also

Other Logistic regression: IQRlogisticRegression(), export_IQRlogisticFit(), import_IQRlogisticFit(), modelEvaluation_IQRlogisticRegression(), simple_IQRlogisticRegression(), summary_IQRlogisticRegression()