forestplot-methods: Forestplot graphs

In EcoGenetics: Management and Exploratory Analysis of Spatial Data in Landscape Genetics

Description

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.

Usage

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

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

## S4 method for signature '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?

Author(s)

Leandro Roser [e-mail]

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

## End(Not run)

EcoGenetics documentation built on July 8, 2020, 5:46 p.m.