barplot_model_results: bar plot function

In drunita/mr-model: Risk prediction model Mr

Description

This function generates a bar plot showing represent the simulation results

Usage

barplot_model_results(
  x,
  name_x,
  y,
  name_y,
  group,
  group_name,
  levels_order,
  y_min,
  y_max,
  title_legend
)

Arguments

x	a numeric vector especifing the x factor
name_x	a character specifing the x axis name
y	a numeric vector especifing the y factor
name_y	a character specifing the y axis name
group	a character vector specifying the grouping factor
group_name	a character specifying the group factor name
levels_order	a character vector specifying the grouping factor order for the legend
y_min	a number especifying the manimum of the y axis
y_max	a number especifying the maximum of the y axis
title_legend	a character specifying the legend title

Value

a bar plot

Examples

y<-c(sum(plot_data$Harvest),sum(plot_data$Latent_removed),sum(plot_data$Sporulated_removed))
x<-c("Healthy","Latent","Sporulated")
group<-x
p4<-barplot_model_results(x,"Disease status",y,"Total pods harvest",group,"Disease status",c("Healthy","Latent","Sporulated"),0,max(y)+0.01*max(y), "Disease statust")

drunita/mr-model documentation built on Dec. 20, 2021, 1:20 a.m.