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, ...)

.data | Data frame. |
---|---|

dependent | Character vector of length 1. |

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

... | Pass arguments |

A table and a plot using `ggplot2`

Other finalfit plot functions: `coefficient_plot`

,
`hr_plot`

, `or_plot`

,
`surv_plot`

# Coefficient plot explanatory = c("age.factor", "sex.factor", "obstruct.factor", "perfor.factor") dependent = "nodes" colon_s %>% ff_plot(dependent, explanatory)#> Warning: 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)#>#>#>#> 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")#> Warning: Dependent variable is a survival object#> Warning: Removed 4 rows containing missing values (geom_errorbarh).