Produce a coefficient table and plot
Produce a coefficient and plot from a lm() model.
coefficient_plot(.data, dependent, explanatory, random_effect = NULL, factorlist = NULL, lmfit = NULL, confint_type = "default", remove_ref = FALSE, breaks = NULL, column_space = c(-0.5, -0.1, 0.5), dependent_label = NULL, prefix = "", suffix = ": Coefficient, 95% CI, p-value)", table_text_size = 5, title_text_size = 18, plot_opts = NULL, table_opts = NULL, ...)
.data |
Dataframe. |
dependent |
Character vector of length 1: name of depdendent variable (must be numeric/continuous). |
explanatory |
Character vector of any length: name(s) of explanatory variables. |
random_effect |
Character vector of length 1, name of random effect variable. |
factorlist |
Option to provide output directly from
|
lmfit |
Option to provide output directly from |
confint_type |
For for |
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. |
Returns a table and plot produced in ggplot2.
library(finalfit)
library(ggplot2)
# Coefficient plot
explanatory = c("age.factor", "sex.factor", "obstruct.factor", "perfor.factor")
dependent = "nodes"
colon_s %>%
coefficient_plot(dependent, explanatory)
colon_s %>%
coefficient_plot(dependent, explanatory, table_text_size=4, title_text_size=14,
plot_opts=list(xlab("Beta, 95% CI"), theme(axis.title = element_text(size=12))))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.