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## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.width = 8,
fig.height = 4.5
)
## ----setup--------------------------------------------------------------------
library(ggforestplotR)
library(ggplot2)
## ----as-forest-data-----------------------------------------------------------
raw_coefs <- data.frame(
variable = c("Age", "BMI", "Treatment"),
beta = c(0.10, -0.08, 0.34),
lower = c(0.02, -0.16, 0.12),
upper = c(0.18, 0.00, 0.56),
display = c("Age", "BMI", "Treatment"),
section = c("Clinical", "Clinical", "Treatment"),
sample_size = c(120, 115, 98),
p_value = c(0.04, 0.15, 0.001)
)
forest_ready <- as_forest_data(
data = raw_coefs,
term = "variable",
estimate = "beta",
conf.low = "lower",
conf.high = "upper",
label = "display",
grouping = "section",
n = "sample_size",
p.value = "p_value"
)
## ----helper-to-plot-----------------------------------------------------------
ggforestplot(forest_ready)
## ----tidy-model---------------------------------------------------------------
fit <- lm(mpg ~ wt + hp + qsec, data = mtcars)
model_ready <- tidy_forest_model(fit)
## ----helper-to-plot-model-----------------------------------------------------
ggforestplot(model_ready)
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