hr_plot {finalfit} | R Documentation |
Produce hazard ratio table and plot from a Cox Proportional Hazards analysis, survival::coxph()
.
hr_plot( .data, dependent, explanatory, factorlist = NULL, coxfit = NULL, remove_ref = FALSE, breaks = NULL, column_space = c(-0.5, 0, 0.5), dependent_label = "Survival", prefix = "", suffix = ": HR (95% CI, p-value)", table_text_size = 4, title_text_size = 13, plot_opts = NULL, table_opts = NULL, ... )
.data |
Dataframe. |
dependent |
Character vector of length 1: name of survival object in form |
explanatory |
Character vector of any length: name(s) of explanatory variables. |
factorlist |
Option to provide output directly from |
coxfit |
Option to provide output directly from |
remove_ref |
Logical. Remove reference level for factors. |
breaks |
Manually specify x-axis breaks in format |
column_space |
Adjust table column spacing. |
dependent_label |
Main label for plot. |
prefix |
Plots are titled by default with the dependent variable. This adds text before that label. |
suffix |
Plots are titled with the dependent variable. This adds text after that label. |
table_text_size |
Alter font size of table text. |
title_text_size |
Alter font size of title text. |
plot_opts |
A list of arguments to be appended to the ggplot call by "+". |
table_opts |
A list of arguments to be appended to the ggplot table call by "+". |
... |
Other parameters passed to |
Returns a table and plot produced in ggplot2
.
Other finalfit plot functions:
coefficient_plot()
,
ff_plot()
,
or_plot()
,
surv_plot()
# HR plot library(finalfit) library(dplyr) library(ggplot2) data(colon_s) explanatory = c("age.factor", "sex.factor", "obstruct.factor", "perfor.factor") dependent = "Surv(time, status)" colon_s %>% hr_plot(dependent, explanatory, dependent_label = "Survival") colon_s %>% hr_plot(dependent, explanatory, dependent_label = "Survival", table_text_size=4, title_text_size=14, plot_opts=list(xlab("HR, 95% CI"), theme(axis.title = element_text(size=12))))