Wraps or_plot, hr_plot, and coefficient_plot and sends to the appropriate method depending on the dependent variable type.

ff_plot(.data, dependent, explanatory, ...)

finalfit_plot(.data, dependent, explanatory, ...)

Arguments

.data

Data frame.

dependent

Character vector of length 1.

explanatory

Character vector of any length: name(s) of explanatory variables.

...

Pass arguments or_plot, hr_plot, or coefficient_plot

Value

A table and a plot using ggplot2

See also

Other finalfit plot functions: coefficient_plot, hr_plot, or_plot, surv_plot

Examples

# Coefficient plot explanatory = c("age.factor", "sex.factor", "obstruct.factor", "perfor.factor") dependent = "nodes" colon_s %>% ff_plot(dependent, explanatory)
#> Dependent is not a factor and will be treated as a continuous variable
#> Warning: Removed 4 rows containing missing values (geom_errorbarh).
# Odds ratio plot dependent = "mort_5yr" colon_s %>% ff_plot(dependent, explanatory)
#> Waiting for profiling to be done...
#> Waiting for profiling to be done...
#> Waiting for profiling to be done...
#> Warning: Removed 4 rows containing missing values (geom_errorbarh).
# Hazard ratio plot dependent = "Surv(time, status)" colon_s %>% ff_plot(dependent, explanatory, dependent_label = "Survival")
#> Dependent variable is a survival object
#> Warning: Removed 4 rows containing missing values (geom_errorbarh).