ci_plot {stRoke}

Confidence interval plot with point estimate

Description

Horizontal forest plot of point estimate with confidence intervals. Includes dichotomous or olr, depending on number of levels in "x". Title and axis labels can be added to the ggplot afterwards.

Usage

ci_plot(
  ds,
  x = NULL,
  y = NULL,
  vars = NULL,
  dec = 3,
  lbls = NULL,
  title = NULL,
  method = "auto"
)

Arguments

ds

main input, either data set or logistic model

x

text string of main exposure variable

y

text string of outcome variable

vars

variables for multivariate analysis.

dec

Decimals in labels

lbls

Labels for variable names

title

Plot title. Can be specified later.

method

Character vector. The method for the regression. Can be c("auto", "model").

Value

ggplot element

Examples

# Auto plot
data(talos)
talos[,"mrs_1"]<-factor(talos[,"mrs_1"],ordered=TRUE)
ci_plot(ds = talos, x = "rtreat", y = "mrs_1", 
vars = c("hypertension","diabetes"))
## Model plot
# iris$ord<-factor(sample(1:3,size=nrow(iris),replace=TRUE),ordered=TRUE)
# lm <- MASS::polr(ord~., data=iris, Hess=TRUE, method="logistic")
# ci_plot(ds = lm, method="model")