Forestplot graphs

This program generates a forest plot for the confidence interval of each individual of the input data (as row number) and the corresponding observed value of the statistic.

eco.forestplot(input, xlabel = NULL, ylabel = NULL, titlelabel = NULL,
  legendlabel = NULL, interactivePlot = TRUE, ...)

# S4 method for eco.lsa
eco.forestplot(input, rescaled = FALSE, xlabel, ylabel,
  titlelabel, legendlabel, interactivePlot = TRUE)

# S4 method for dataframeORmatrix
eco.forestplot(input, xlabel, ylabel, titlelabel,
  legendlabel, interactivePlot = TRUE)

Arguments

input	Matrix/data frame, with three columns in the folowing order: observed value, lower and upper values of the confidence interval.
xlabel	Optional label for x axis.
ylabel	Optional label for y axis.
titlelabel	Optional title label.
legendlabel	Optional legend label.
interactivePlot	Show an interactive plot via plotly? (default: TRUE)
...	Additional elements to the generic.
rescaled	rescale values to [-1, 1] range?

Examples

# NOT RUN {
require(ggplot2)
# simulated confidence intervals for the null hypotesis of a variable "a"
set.seed(8)
a<-runif(10, -2, 2)
infer <- runif(10, -1, 1)
super <- runif(10, -1, 1)
infer2 <- pmin(infer, super)
super2 <- pmax(infer, super)
data <- data.frame(a, infer2, super2)
forest <- eco.forestplot(data)
forest

# the forestplot method support the use of ggplot2 syntax with ggplot2 graphs
forest <- eco.forestplot(data, interactivePlot = FALSE)
forest <- forest + theme_bw() + theme(legend.position="none")
forest
# }